Application of Improved Differential Evolution Algorithm in solving Container-packing problems icon

Application of Improved Differential Evolution Algorithm in solving Container-packing problems


Similar
  1   2   3   4   5   6   7   8   9   ...   15
Application of Improved Differential Evolution Algorithm in solving Container-packing problems


Chuan He1,2 Yuan-Biao Zhang1,2,* Jian-Wen Wu1,2 Cheng Chang1,2

1Mathematical Modeling Innovative Practice Base, Zhuhai College Jinan University, Zhuhai, China 519070; 2Department of Computer Science and Technology, Jinan University, Zhuhai, China 519070;

hechuan1215@gmail.com 1Mathematical Modeling Innovative Practice Base, Zhuhai College Jinan University, Zhuhai, China 519070; 2Packaging Engineering Institute, Jinan University, Zhuhai, China 519070;

abiaoa@163.com 1Mathematical Modeling Innovative Practice Base, Zhuhai College Jinan University, Zhuhai, China 519070; 2Packaging Engineering Institute, Jinan University, Zhuhai, China 519070; gglddu@126.com 1Mathematical Modeling Innovative Practice Base, Zhuhai College Jinan University, Zhuhai, China 519070; 2Business Administration Department, Jinan University, Zhuhai, China 519070;

731946105@qq.com


Abstract—In this paper, aim at the characteristics of multi- objective multi-constrained and difficult to solve of the three- dimensional container-packing problem, we propose to solve the problem with improved differential evolution (IDE) algorithm. By overloading the evolutionary operation of differential evolution algorithm that we can deal with discrete optimization problems effectively. Define the adaptive crossover-factor and stagnation variation mechanism to prevent premature stagnation of the algorithm, and improve the population diversity. Simulation results show that the IDE algorithm can excellently solve the three-dimensional container-packing problem.

Keywords-Three-dimensional container-packing; Spatial segmentation; Symbol overloading; Stagnation variation; Improved differential evolution;


Application of CCCT in the BPR of Container Terminal


Zhong weizhu, YinYilin

Management School, Tianjin University of Technology, China

Email: wzhong86@gmail.com

Abstract: To develop the production capability and decrease the cost of container terminal is the goal of port enterprises Business Processing Rebuilding (BPR). It is even the important project of studying to every port in the world. This paper shows the innovation approach, which integrated IT technology such as Computing, Communication and Controlling (CCCT), in the BPR of container terminal production. The key content of BPR is to equip the mobile computer linked with the MIS of terminal production system on the RTG or Bridge Crane. The data communication technology, Wireless Local Area Net (WLAN), and Global Position System (GPS) technology are playing the important rule in this rebuilding program. The throughout of container in the terminal is up 4% and the operating cost is down 14.78, which is compare to last year, after to accomplish this BPR of container terminal production system.

Keyword: Computing, Communicating, Controlling, Container Terminal, BPR


Research on Genetic Algorithm Based on Oriented Weighted Crossover Operator


Zhou Yu-heng

Institute of Railway and Urban Rail Transit

Tongji University

Shanghai, China

yuhengzhou@qq.com

Xie Wei-da

Institute of Railway and Urban Rail Transit

Tongji University

Shanghai, China

tjxwd@163.com


Abstract—Crossover is the most important step in genetic algorithm, which passes on good genes of the parents to the next generation. However, the crossover operator can’t ensure the offspring finding the globally optimum because of its blind search. A weighted crossover operator is proposed to overcome the disadvantages. Weighted values are calculated according to the adaptive values of the parents. One offspring is generated through the weighted crossover operator. On this basis, an oriented weighted crossover operator is proposed to increase the probability of finding excellent solution genes. The convergence of the genetic algorithm based on this crossover operator is proved. Experiments show that the genetic algorithm based on this operator has a good performance in searching optimum.

Keywords-Genetic Algorithm; Weighted Crossover Operator; Orientation; Adaptive Value


Robust Control of Sensorless Permanent Magnet Synchronous Motor Drive using Fuzzy Logic

J L Febin Daya

Department of Electrical and Electronics Engineering

Sri Krishna College of Engineering and Technology

Coimbatore, India

febindaya@yahoo.co.in

V Subbiah

Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and Technology

Coimbatore, India

subbiah42@yahoo.com

Abstract— A robust fuzzy logic based control system, combined with Kalman filter is proposed to control the speed of sensorless permanent magnet synchronous motor (PMSM) drive system in this paper. A novel speed controller is designed using the concept of fuzzy logic, which ensures robust speed control against parameter variations. Sensorless control of PMSM servo drive is implemented using the Kalman filter and the non linear model of the motor has been linearized on the basis of field orientation principle. Simulations have been carried out to validate the effectiveness of the proposed controller in enhancing robustness and adequate performance in the face of uncertainties.

Keywords-Fuzzy logic; permanent magnet synchronous moto; Kalman filter


Complex multi-products dynamic scheduling algorithm

with sequence-dependent setup times

Zhiqiang Xie1, 2, Lan Lan1, Lei Zhao1 and Jing Yang2

1. College of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China

2. College of Computer Science and Technology, Harbin Engineering University, Harbin, China

xzq0111@tom.com

Abstract—The problem of considering the setup times in scheduling with non-sequence constraint between operations has been researched, but there are no researches on the problem of considering the setup times in processing and assembly integrated scheduling of complex multi-product dynamic scheduling with sequence constraint between operations. So, a complex multi-product dynamic scheduling algorithm is proposed, considering sequence-dependent setup times. The algorithm constructs the virtual manufacturing tree in the way of root alignment and converts the complex multi-product dynamic scheduling problem to the complex single product scheduling problem. After the scheduling sequence of operations is determined, the starting time of each operation is determined by dynamically inserting setup time once. As the proposed algorithm avoids several movements of the scheduled operation when the setup time is inserted, the time complexity is sharply reduced. Theoretical analysis and examples show that the proposed algorithm not only can solve the complex multi-product dynamic scheduling problem with sequence-dependent setup times, but also is simple and practical.

Keywords-complex multi-products; setup times; integrated scheduling; algorithm; manufacturing tree


Study on integrated algorithm of complex multi-product flexible scheduling

Zhiqiang Xie1,2, Shuzhen Hao1, Lei Zhang1 and Jing Yang2

1. College of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China

2. College of Computer Science and Technology, Harbin Engineering University, Harbin, China

xzq0111@tom.com

Abstract—In order to optimize the processing of complex multi-product flexible scheduling, a simplified method which converts complex multi-product into a virtual single-product is adopted. The complex multi-product flexible scheduling problem is transformed into the virtual single-product flexible scheduling problem. Aiming at the virtual single-product flexible scheduling problem, an integrated algorithm is proposed. This algorithm firstly adopts the allied critical method to confirm the scheduling sequence of operations. Then each operation is simulation processed by the sequencing algorithm on a set of capable machines. Calculate the virtual completion time of this operation and choose the machine which has the minimum virtual completion time. The routing sub-problem and sequencing sub-problem are solved at the same time by the proposed algorithm. Experiment shows that the proposed algorithm can solve complex multi-product flexible scheduling problem with constraint between jobs, it also can solve simple multi-product flexible job-shop scheduling problem with non-restraint between jobs and obtain satisfying result.

Keywords- flexible scheduling, complex product flexible scheduling, integrated algorithm, simulation process


Neighborhood Description and Flocking Behavior Analysis of Swarm Robots Based on Fuzzy Logic

Zongchun Liu and Yantao Tian

School of Communication Engineering

Jilin University

Changchun, China

lufeng7891@163.com, tianyt@jlu.edu.cn

Mao Yang

School of Communication Engineering

Jilin University

Changchun, China

Yangmao820@yahoo.com.cn

Abstract—The control algorithm on coordination behavior of a flocking system consists of three components; they are collision avoidance, cohesion and alignment. The three components are realized by application of interactions between the agents in the system as well as guidance of the environment. To achieve better coordination through interactions between agents, the concept of fuzzy neighborhood is introduced in this paper. And the fuzzy grading is utilized to describe it. For agent , the intensities of neighborhood, characterized by numbers in the range of 0-1, vary with the distances between the other agents and agent . The smaller the distance, the larger the intensity and its value tends closer to 1; the larger the distance, the weaker the intensity and its value tends closer to 0. By this method, interactions and coordination between agents have been built to obtain the ultimate coordination of the flocking system.

Keywords-flocking behavior; neighborhood; fuzzy logic; coordination control


A Novel Scheme Of Vertical Handover For IP Multimedia Subsystem


Guan-nan Kou

Dept. of Computer Science

Xiamen University

Xiamen, Fujian, China

e-mail: kgn28@163.com

Yu-liang Tang*

Dept. of Communication Engineering

Xiamen University

Xiamen, Fujian, China

e-mail: tyl@xmu.edu.cn*

Yi Jiang

Dept. of Computer Science

Xiamen University

Xiamen, Fujian, China

e-mail: jiangyi@xmu.edu.cn


Abstract—In order to achieve seamless handover for real-time applications in the IP Multimedia Subsystem (IMS) of the next-generation network, a multi-protocol combined handover mechanism is proposed. In this work, we combine SIP (Session Initiation Protocol), FMIP (Fast Mobile IPv6 Protocol) and MIH (Media Independent Handover) protocols by cross-layer design and optimize these protocols’ signaling flows to improve vertical handover performance. Theoretical analysis and simulation result illustrate that our proposed mechanism is better than the original SIP and MIH combination handover mechanism in service interrupt time and packets loss aspects.

Keywords-Vertical handover; MIH; IMS; FMIP; NS2


Research on Neural Networks based Modelling and Control of Electrohydraulic System


Pang Xue-miao, Zhang Yuan, Xing Zong-yi

School of Mechanical Engineering

Nanjing University of Science and Technology

Nanjing, China

Qin Yong, Jia Li-min

State Key Laboratory of Rail Traffic Control and Safety

Beijing Jiaotong University

Beijing, China


Abstract—The electrohydraulic servo system of a certain type of mines weeping plough is a complex and nonlinear system. It is difficult to construct its accurate model by first principle method and to achieve satisfactory control performance by traditional PID controller. In this paper, the radial basis function neural network with orthogonal least square learning algorithm is used to model the electrohydraulic system and the neural network based direct inverse is adopted to control the system. The experimental results and comparisons with other techniques clearly show the validity of the proposed methods.

Keywords-electrohydraulic system; neural network; modelling; direct inverse control


Research on Rotary Screen Printing Machine Multi-axis Motion Control System Based on CAN Bus


Li Pengfei,Nie Luhua

College of Electronics and Information

Xi ' an Polytechnic University

Xi ' an, China

li6208@163.com

Wang Bo, Li Jiakun

College of Electronics and Information

Xi ' an Polytechnic University

Xi ' an, China

nieluhua@yahoo.cn


Abstract—In view of the degree of the information is not high, the formation of the various parts as a system of "information islands" and other issues in printing and dyeing industry, this paper studied a control system for rotary screen printing machine multi-axis coordinated motion control as the core based on CAN bus, to enhance the multi-axis synergistic motion accuracy as the goal. A study from the following aspects, the inspect method of real time synchronization control, the position synchronization arithmetic of rotary screens, to improve motion control accuracy of the synchronization between network nodes, as well as, Multi-axis coordinated motion control algorithm ,and realized absolute position synchronization between the rotary screen, as compared with other similar systems with a high accuracy, high reliability and low failure rate and long service life and so on. In practical applications, and to effectively improve the accuracy of the printing and production, the whole operation smooth and reliable, has received satisfactory control effect.

Keywords- CAN bus; rotary screen printing machine; multi-axis synchronization; accuracy; motion control


PID Controller Design for a Class of Networked Cascade Control Systems


Congzhi Huang, Yan Bai, Yaochun Zhu

School of Control and Computer Engineering

North China Electric Power University

Beijing, P.R.China

hcz190@ncepu.edu.cn


Abstract—The issue of PID controllers designing for a typical class of networked cascade control systems with constant network-induced delays is addressed. Cascade control system, wherein the control loops are closed via a real-time network, is called a networked cascade control system(NCCS for short). The system configuration for a typical class of NCCSs is analyzed, and the locations of the network-induced delays are pointed out. With the primary and secondary processes given as first order plus time delay (FOPTD), as well as the desired closed-loop responses, the PID tuning parameters of the primary and secondary controllers are proposed in form of expressions by approximating pure delays with first order Páde expression. Based on MATLAB/Simulink and TrueTime toolbox, both of simulation results and computational results of control performance indices for the NCCS explicitly indicate the superiority of the proposed approach to improve the system performance.

Keywords- networked cascade control system, network-induced delay, PID, performance index, TrueTime


Fault diagnosis of induction motor based on information entropy fusion


A HAN li, Shi Li-ping

The School of Information and Electronic Engineering, China University of Mining and Technology

Xuzhou, China


Abstract—A fault diagnosis method based on information entropy fusion of motor is presented in this paper. Fault feature are extracted though calculating information entropy of collected signal. To improve accuracy of diagnosis, stator current signal, axial vibration signal and radial vibration signal are collected. Based on these eigenvalue of each signal type, primary conclusion is obtained using Neural network. The Dempster combination rule is used to realize information fusion to achieve finally conclusion. The result of experiment shows that information entropy acts well as fault feature and when using multi sensor signal, the reliability of the fault diagnosis method is more accurate and certainty. As a result, the proposed method can improve the accuracy and reliability of fault diagnosis remarkably.

Keywords-fault diagnosis; induction motor; information entropy; fusion


Multi-objective Optimization of the Hydraulic Press Crossbeam Based on Neural Network and Pareto GA


Liu Qian, Bian Xue-liang

School of Mechanical Engineering

Hebei University of Technology

Tianjin City, China

liuqian@hebut.edu.cn


Abstract—The structures approximation analysis technology is studied based on neural network. The back-propagation neural network model corresponding to the size parameters of the hydraulic press’ crossbeam and its displacement or stress is generated to replace the original finite element model in this paper. Using the saturated multi-level table of orthogonal arrays to choose the trained samples could make the neural network has extensive representations. In order to search the minimization of the crossbeam’s volume and displacement, the Pareto GA is used and the detailed technique is described. The optimization result is satisfactory, which shows the combination of the neural network and Pareto GA provides a new scientism method on solving the complex solid structures’ multi-objective optimization.

Keywords-Neural network; multi-objective optimization; Pareto GA; orthogonal design; structures approximation


Fourier-Transform-Based Composite Intelligent Control for High-Frequency-Response Voice Coil Motor


Xuanju DANG

Computer Science and Control College

Guilin University of Electronic Technology, Guilin, China

National Software and Integrated Circuit Public Service Platform, Guilin, China

xjd69@163.com


Silin ZENG

Post graduate

Computer Science and Control College

Guilin University of Electronic Technology, Guilin, China

silinzeng@163.com


Lin ZHANG

Post graduate

Computer Science and Control College

Guilin University of Electronic Technology, Guilin, China

zl_030120330@163.com


Abstract—During to the non derivability for triangle wave reference trajectory, whose high-frequency harmonics will stimulate the resonant modes in the high-frequency voice coil motor (VCM), the traditional speed and acceleration feed forwards can not be achieved. In this paper, the triangle wave was Fourier transformed to get its Fourier series composed of several sine functions, which are high order differential. After derivation calculus to the sum function of the series, the first and second order derivatives of the sum function were obtained. By making the inverse Fourier transform to the derivatives of sum function, the first and second order differential of the triangle wave were obtained and the speed and acceleration feed forwards under triangle wave reference were achieved. In the feedback controller, an incomplete differential PID-like neural network controller was introduced and improved. The dynamic recurrent neural network (DRNN) was used to real-timely identify the system’s Jacobian information. The feedback controller was used to compensate the approximation error in the feedforward and suppress the high frequency harmonic components in order to stabilize the systems and eliminate the residual error. The simulation results show that the system is of small steady-state error and high positioning accuracy, and the system requirements are also met under high-frequency inputs.

Keywords-High-frequency response; Voice Coil Motor; nonsmooth; Fourier transform; incomplete differential; PID-like neural network controller


Real-time Satellite Signature Suppression Shield Attitude Planning Based on Improved Adaptive Genetic Algorithm


Kang Su, Jianjiang Zhou

College of Information Science and Technology

Nanjing University of Aeronautics & Astronautics

Nanjing, China

e-mail: sukang@nuaa.edu.cn


Abstract—This paper explores the satellite shield attitude planning for low observable satellites equipped with signature suppression shields. The on-orbit satellite’s operational effectiveness and survivability are coupled with its radar cross section (RCS) and laser cross section (LCS) in threat directions, which are determined by the shield’s attitude. This paper presents a real-time satellite shield attitude planning algorithm (RSSAPA), which aims to reduce the satellite’s RCS and LCS in threat directions by limited satellite shield attitude control in real-time. The algorithm establishes a new mathematical model based on satellite orbit, threat distribution and earth curvature directly, and develops an improved adaptive genetic algorithm (IAGA) with novel crossover and mutation strategies, to reduce the computational complexity and ensure the real-time performance. Also, curved surface pixel method (CSPM) is introduced in RSSAPA to calculate satellite’s RCS, and a refined CSPM is developed to complete the satellite’s LCS calculation at the same time. According to the simulation results, the algorithm is proved to be efficient.

Keywords-attitude planning; satellite; genetic algorithm; radar cross section (RCS); laser cross section (LCS)


High Precision Test Method for Dynamic Imaging of Space Camera


Geng-feng Zheng, Shun-feng Ma, Ji-gang Sun

Graduate University

Chinese Academy of Sciences

Beijing, China

E-mail: GF.Zheng83@gmail.com

Geng-feng Zheng, Shun-feng Ma, Long-xu Jin, Ke Zhang, Ji-gang Sun

Institute of Optics, Fine Mechanics and Physics

Chinese Academy of Sciences

Changchun, China


Abstract—A test method for dynamic imaging of space TDICCD (Time Delay and Integration Charge Coupled Devices) camera was presented in this paper. The test method adopted the PLL (Phase Locked Loop) technology and CMAC (Cerebella Model Articulation Controller) friction compensation as control strategy. Furthermore, According to this method, a test system for dynamic imaging of space TDICCD camera was designed and implemented. The system simulated the movement of the ground objects relative to the space aerocraft, to validate the capability of image speed match and the dynamic imaging quality of TDICCD camera. The design adopted a precision turntable and a drift turntable to simulate the movement around the earth and the drift motion in different latitude due to the rotation of earth, of the aerocraft. The turntables were drived by permanent magnet torque motor which was powered by PWM (Pulse Width Modulation). The system adopted DSP (Digital Signal Processor) as the control core and reached a very high performance. The experimental results showed that the steady speed error was better than 0.01% and the instantaneous speed error reached 0.0267%. The precision of the test system designed met the requirement for dynamic imaging of TDICCD camera.

Keywords-space camera; dynamic imaging; phase-locked control; friction compensation; test system


A Control Method for the Naval Artillery Servo System Based on the Grading Fuzzy Sliding Mode Control with the Interference Observer


ZHOU Yong PAN Chong

School of Computer Science School of Telecommunications and Information Eng.

Nanjing University of Posts and Telecommunications Nanjing University of Posts and Telecommunications

Nanjing, China Nanjing, China

Email: ian.zhou.yong@gmail.com Email: panchong93@gmail.com


Abstract--In order to reduce the shooting instant error of the naval artillery digital servo system which has large impact torque when naval artillery is shooting, it is necessary to enhance the robustness and the antijamming ability of the naval artillery digital servo system, and a self-regulating grading fuzzy sliding control scheme with interference observer. Firstly, an interference observer was designed to compensate part of the extern interference. Secondly, the grading fuzzy sliding mode control scheme based on the exponent approaching method and fuzzy control method which can have speedy response, strong robustness and reduce the scattering of the sliding mode control was designed. Finally, the self-regulating algorithm of the sliding control according the error change was designed. It can be prove from the simulation experiment that the control scheme can enhance the robustness of the system and reduce the shooting instant error greatly.


Keywords- servo; fuzzy control; digital


A New Image Denoising in Shiftable Complex Directional Pyramid Domain

Xiang-Yang Wang

School of Computer and Information Technology

Liaoning Normal University

Dalian, China

e-mail: wxy37@126.com

Tian-Xiang Qu

School of Computer and Information Technology

Liaoning Normal University

Dalian, China

e-mail: xushaoyang_5120@163.com

Abstract—In this paper, we describe a method for removing noise from digital images, based on bilateral filter and Gaussian scale mixtures (GSM) in shiftable complex directional pyramid (PDTDFB) domain. Firstly, the noisy image is decomposed into different subbands of frequency and orientation responses using a PDTDFB transform. Secondly, the bilateral filter, which is a nonlinear filter that does spatial averaging without smoothing edges, is applied on the approximation subband. Finally, the distribution of detail subbands of PDTDFB coefficients is modeled with GSM, and the statistical model is then used to obtain the denoised detail coefficients from the noisy image decomposition by Bayes least squares estimator. Extensive experimental results demonstrate that our method can obtain better performances in terms of both subjective and objective evaluations than those state-of-the-art denoising techniques. Especially, the proposed method can preserve edges very well while removing noise.

Keywords- Image denoising, shiftable complex directional pyramid, bilateral filter, Gaussian scale mixtures, Bayes least squares estimator


A multi-path transmission mechanism based on topology of dual-band and secondary structure and application on WNCS


Jun Wang

Department of Computer Science and Technology

Shenyang Institute of Chemical Technology

Liaoning Province, 110142, China

Wj_software@hotmail.com


Abstract—For the purpose of improving to redundancy of the transmission path, compensating for poor communication quality of wireless communication in harsh industrial environments and partly improving reliability of industrial wireless networked control system (WNCS), the multi-path transmission mechanism based on topology of dual-band and secondary structure is proposed. The topology of dual-band and secondary structure allows use of independent frequency bands to communication on devices and communication controllers. So as to diminish the chance of conflict and the effective use of space capacity to work in parallel. It partly eased real-time problems on wireless communication technology in industrial environment. At the same time, we introduce to DS-UWB in WNCS firstly. The project of PROFIBUS integrated with UWB are designed on the multi-path transmission mechanism based on topology of dual-band and secondary structure. It provides an effective application way of the multi-path transmission mechanism.

Keywords- multi-path transmission mechanism; topology of dual-band and secondary structure; industrial wireless network;


Theodolite Self-stabilization Tracking Servo System Based on Mobile Platform


Wang Chen

Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Science

Graduate School of Chinese Academy of Science

Xi’an,Shaanxi,710119,China

e-mail: wangchen@opt.ac.cn

Ma Caiwen, Hao Wei, Tian Guangyuan

Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Science

Xi’an, Shaanxi,710119, China


Abstract—In order to improve the tracking and positioning accuracy of theodolite self-stabilization tracking based on mobile platform, the position of object is transformed from platform coordinate system to earth coordinate system by using coordinate axis circumrotation. A method of forecast tracking technique based on mobile platform is presented. The former compound angle is transform from platform coordinate to earth coordinate. The next compound angle is forecasted in earth coordinate, finally the forecast result is transform to the platform coordinate. The stable tracking technique based on mobile platform is realized. This forecast result is compared with direct forecast in platform coordinate. Tracking and positioning accuracy can be enhanced from 5′to 1.5′,which fully prove that this forecast technique is more accurate and propitious to realize stable tracking on mobile platform.


Keywords-Theodolite; Mobile platform; Self-stabilization tracking; Coordinate transformation


Research on Multiple Attribute Evaluation Method Based on Cloud Model


Guo Rong-xiao, Xia Jing-bo, Zhang Li, Qian Yuan

The Telecommunication Engineering Institute,Air Force Engineering University

Xi’an, China

E-mail: lzstella26@163.com


Abstract-A cloud model-based multiple attribute evaluation method is put forward. The ways of the cloud transformation is used to represent the cloud model of each different attribute. On the base of one-dimension cloud, the multidimensional cloud model of system is confirmed. And then, evaluation value is achieved by calculating the deviation degree of the system cloud gravity center from the ideal cloud gravity center. Finally, this method is applied to evaluate the data link system fighting effectiveness as an example, which provides a new idea for evaluation and decision of multiple attribute object system.

Keywords-cloud model; multiple attribute evaluation; cloud gravity center


The Complex Adaptiveness of Telecommunication Networks and Urban Functions


Liu Guoliang

School of Management, Jilin University

Key Lab of Soft Science of communication

Changchun ,China

glliug@jlu.edu.cn


Qiu Tao

School of Management, Jilin University

Changchun ,China

qiutao08@mails.jlu.edu.cn

Abstract: To ensure the normal operation of the urban functions, the telecommunication network is one of the most important parts of support system. Modern urban functions have been changed from single to multiple, and the functions are continuous being optimized. How can we make telecom network construction and development more responsive to changes in today's urban functions become the focus of recent studies. From the perspective of complex adaptive systems theory (CAS), this paper established a telecommunication network complexity adaptive model, and analyzed the adaptive behavior of telecommunication network agents. The research can find out the mechanism that telecommunication networks adapt the needs of urban functions better.

Keywords- complex adaptive systems (CAS); urban functions; telecommunication network; network agents


Automatic Control System Design of Protein-Nucleic Acid Analytical Instrument


Weiwei Hu

Beijing University of Chemical Technology Information Science and Technology College

Beijing, China

409144661@163.com

Janjing Sun

Beijing Union University

Automatic department of Beijing Union University

Beijing, China

sunjianjing@163.com


Abstract—As instrumentation development becomes more miniature and intelligent, the control system is at a very important position. Protein-nucleic acid analytical instrument use capillary electrophoresis technology, which is a rapid developing separate analysis technique in the global industry in the late eighties. The analyzer is based on S3C44B0 and it uses feedback control method for real-timely controlling. Firstly, the operator inputs the data in the host computer software. Then, the sample table and waste plate go to the specified position in accordance with the contents being filled. Finally, the inject sample, electrophoresis, or wash sample perform. In the process, to meet specified requirements the temperature control system, voltage control system and pressure control system are adjusted to the corresponding parameters of the injecting, electrophoresis, or washing operation. This creates an execution environment which the experiment needs. The control system achieves a fully automated operation, avoiding the impact of human factors on the result of experiment and improving the accuracy of the experiment. Protein-nucleic acid analytical instrument can be applied in broad field.

Keywords- protein-nucleic acid analytical instrument; fully automated; real-time feedback control


Design and Implementation of a New Queue Scheduling Scheme in DiffServ Networks


Miaoyan Li

Software College

Shenyang Normal University

Shenyang 110034, China

lillian1979@126.com

Bo Song

Software College

Shenyang Normal University

Shenyang 110034, China

Songbo63@yahoo.com.cn


Abstract—In this paper, based on analyzing the two existing queue scheduling algorithms WRR and DWRR, an improved scheduling algorithm, called DWRR+, is presented, which is the resolution for the fairness of bandwidth allocation of the WRR algorithm. The ns-2 simulations show that the improved scheduling algorithm not only offers the service of the minimum guaranteed bandwidth but also implements the fair allocation of residual bandwidth. Furthermore, synthesizing the PHB performance requirements of EF, AF and BE in DiffServ, a new two-level scheduling scheme for multi-service networks, called PRI/DWRR+, is designed based on the DWRR+ algorithm. Eventually, in the simulation test of the new scheduling scheme, the PHB parameters are configured according to various service of internet. The simulation results indicate that the new scheduling scheme PRI/DWRR+ can implement Differentiated Services for the business flow with different QOS requirements, so PRI/DWRR+ is completely suitable for DiffServ networks.

Keywords-Differentiated services; Queue scheduling; DWRR+; PRI/DWRR+; NS-2


Study on GB/T 20438 Application in Safety-related System

Shen Xueqiang

Control Science and Engineering School

North China Electric Power University

Beijing, China

tomeidos@sina.com

Bai Yan

Control Science and Engineering School

North China Electric Power University

Beijing, China

by@ncepu.edu.cn


Abstract—the standard GB/T 20438 contains a lot of useful information and guidance for safety improvement regarding the use of safety systems. However, some of the basic concepts and methods for loss of safety qualification are somewhat confusing in domestic. This paper presents the concepts of safety life cycle, risk and safety integrity level, and all that concepts are clarified to avoid misunderstanding about safety –related systems.

Keywords-GB/T 20438; safety life cycle; risk; safety intergrity level


Design of Substation Temperature Monitoring System

Based on Wireless Sensor Networks


Hainan Long, Leyang Zhang, Jiao Pang, Caixia Li, Tierui Song

College of Electronic and Information Engineering

Hebei University

Baoding, China

lhainan@yahoo.com.cn, leyangz@126.com


Abstract—Using the features and technology of wireless sensor networks such as distributed and self-organization to build substation temperature monitoring system, which can monitor the temperature of bus bar junction of the high voltage switchgear in substation in real time to prevent fire and other accidents. This system applies ZigBee communication protocol, and uses the CC2430 as RF transceiver. It has the characteristics of low power consumption, low cost, flexible structure and accurate measurement, and it can achieve the long-distance temperature monitoring of the bus bar junction in real time.

Keywords-wireless sensor networks; ZigBee; bus bar junction; temperature monitoring


Map matching algorithm based on GPS/DR integrated positioning system


Peng Gao and Zhaosheng Yang

College of Traffic and Transportation &

State Key Lab of Automobile Dynamic Simulation

Jilin University, Changchun, Jilin 130022, China

jlugaopeng@gmail.com; yangzs@jlu.edu.cn

Di Hong

College of Computer Science and Technology

Qianwei South Campus of Jilin University

Changchun, Jilin 130012, China

jluhongdi@gmail.com


Abstract—The paper develops the map matching algorithm based on GPS/DR integrated positioning system through the determination of error influence area, the choice of matching road section and the modification of positioning information, and then evaluates the reliability of the matching result through the fuzzy comprehensive evaluation. The algorithm is test with the outdoor in-vehicle experiment and has shown good practical value in real-time in-vehicle navigation system.

Keywords-GPS/DR intergrated positioning system; map matching algorithm; fuzzy comprehensive evaluation


Vibration Modal Analysis and Energy Decoupling Optimization of Commercial Vehicle Cab Suspension System

Kai-yan WANG

State key laboratory of automobile dynamic simulation

Jilin University

Changchun, China

wildduke@sina.com

Yu-qian SHI

School of Transportation Engineering

Tongji University

Shanghai, China

yuqianshi515@hotmail.com

Chang-hai YANG

State key laboratory of automobile dynamic simulation

Jilin University

Changchun, China

ych@jlu.edu.cn

Hao YA

FAW group corporation R&D center

Changchun, China

haoya1968@gmail.com


Wen-ku SHI

State key laboratory of automobile dynamic simulation

Jilin University

Changchun, China

shiwk@jlu.edu.cn


Abstract—Based on a cab suspension system of a commercial vehicle, a multi-body dynamic model was built on ADAMS Software for the vibration modal analysis. An Experiment was taken for the verification of the model’s accuracy. Through the energy decoupling theory, the cab suspension system was optimized. By analyzing the optimized parameters, the suspension’s stiffness and position were determined, which gave an encouraging result.

Keywords-cab suspension;vibration modal;energy decoupling; optimization


Vibration Transmission Characteristics Analysis and Optimization of

Commercial Vehicle Cab Suspension System


Kai-yan WANG

State key laboratory of automobile dynamic simulation

Jilin University

Changchun, China

wildduke@sina.com

Yu-qian SHI

School of Transportation Engineering

Tongji University

Shanghai, China

yuqianshi515@hotmail.com

Chang-hai YANG

State key laboratory of automobile dynamic simulation

Jilin University

Changchun, China

ych@jlu.edu.cn

Hao YA

FAW group corporation R&D center

Changchun, China

haoya1968@gmail.com


Wen-ku SHI

State key laboratory of automobile dynamic simulation

Jilin University

Changchun, China

shiwk@jlu.edu.cn


Abstract—A multi-body dynamics model of commercial vehicle cab suspension was built with ADAMS through the interactive method. The cab suspension model was simulated with vibration transmission characteristics methods. The model accuracy was testified by comparing with both bench test and road test results. The simulation model was optimized by Sequential Quadratic Programming method, and the stiffness and damping were matched. At last the vibration of cab was reduced greatly and the comfort was improved.

Keywords-cab suspension; transmission characteristics; optimization;SQP


Study on cooperation of UTCS and UTFGS based on CSCW and MultiAgent


Rui Tian and Zhaosheng Yang

College of Traffic and Transportation &

State Key Lab of Automobile Dynamic Simulation

Jilin University, Changchun, Jilin 130022, China

tryky@sina.com; yangzs@jlu.edu.cn

Peng Gao

Department of Traffic Info Engineering & Control

Nanling Campus of Jilin University

Changchun, Jilin 130022, China

jlugaopeng@gmail.com


Abstract—The cooperation of UTCS (Urban Traffic Control System) and UTFGS (Urban Traffic Flow Guidance System) performs an important function at alleviating traffic jam, improving urban traffic environment and advancing the street capacity. Because it’s a complex system, we have to study it with intelligent method. The system framework and agent structure based on CSCW and Multi-Agent are discussed after the relationship of them was analyzed. UTCS agent was taken as an example to introduce the inherent structure and mechanism. The key techniques such as data integration technology, cooperation and share mechanism of information and cooperative control mechanism were discussed. The intelligent collaboration algorithms were put forward, which would realize the intelligent collaboration and optimization of whole control system. The methods presented make the cooperation system of UTCS and UTFGS effectively run.

Keywords- CSCW, Multi-Agent, UTCS, UTFGS, cooperation


Automatic Control System Design of Protein-Nucleic Acid Analytical Instrument


Weiwei Hu

Beijing University of Chemical Technology Information Science and Technology College

Beijing, China

409144661@163.com

Janjing Sun

Beijing Union University

Automatic department of Beijing Union University

Beijing, China

sunjianjing@163.com


Abstract—As instrumentation development becomes more miniature and intelligent, the control system is at a very important position. Protein-nucleic acid analytical instrument use capillary electrophoresis technology, which is a rapid developing separate analysis technique in the global industry in the late eighties. The analyzer is based on S3C44B0 and it uses feedback control method for real-timely controlling. Firstly, the operator inputs the data in the host computer software. Then, the sample table and waste plate go to the specified position in accordance with the contents being filled. Finally, the inject sample, electrophoresis, or wash sample perform. In the process, to meet specified requirements the temperature control system, voltage control system and pressure control system are adjusted to the corresponding parameters of the injecting, electrophoresis, or washing operation. This creates an execution environment which the experiment needs. The control system achieves a fully automated operation, avoiding the impact of human factors on the result of experiment and improving the accuracy of the experiment. Protein-nucleic acid analytical instrument can be applied in broad field.

Keywords- protein-nucleic acid analytical instrument; fully automated; real-time feedback control


A clonal selection based differential evolution algorithm for double-track railway train schedule optimization


Qin Sheng, Zhou Lei-shan, Yue Yi-xiang

School of Traffic and Transportation

Beijing Jiaotong University

Beijing, P.R.China

03114023@bjtu.edu.cn, zhouleishan@jtys.bjtu.edu.cn, yueyixiang@163.com


Abstract— the train scheduling is a crucial part of modern railway operation system. The train schedule optimization problem is exceptionally large-scale and hardly solved via the conventional mathematical method. In this paper, the double-track railway train schedule optimization is concerned. Based on the characteristics of the double-track railway operation system, a novel train schedule optimization model based on clonal selection differential evolution (CSDE) algorithm is proposed. In comparison to the traditional differential evolution method, the modifications include: (1) clonal selec-tion mechanism with an auxiliary pool is introduced to provide the best individuals with more evolution opportunities; (2) an apoptosis process is employed in which worst individuals will be either extinct or regenerated in probability; (3) the population is in a dynamic balance. The novel method contains more control variables and can be converted into ordinary differential evolution problem with specific parameters setting. In a computational instance, the implementing result indicates that the proposed model and algorithm are practical and feasible for double-track train schedule optimization problem.

Keywords-component; train schedule; differetial evolution; imune; clonal selection


The Decision Making Algorithm based on Inverse-Design Method and its Application in the UAV Autonomous Flight Control System Design


Chai Xue, Wang Ganglin, Wu Zhe

School of Aeronautic Science and Engineering

Beihang University

Beijing, China

xuerch@ase.buaa.edu.cn


Abstract— For Unmanned Air Vehicles (UAV) to flight autonomously, the decision making system must be developed to replace the remote control by the pilot. To shorten the learning time and increase the real-time response, the inverse-design (ID) method is presented to calculate the control input decision inversely by using the desired output and the predictor-corrector algorithm which uses the proportional-integral predicted initial value to compute the control inputs. In the mission description process, the quasi-uniform B-spline is used to generate the desired output by a succession of control points. The genetic algorithm (GA) is also implemented to compare the computing time and the development complexity with the ID method. Simulation shows the ID method based on the predictor-corrector algorithm can be validly and efficiency used in the autonomous flight control system decision making of the UAV, and the ID method is preponderant in online computing, development and computing time reducing than the GA. The analysis and ID method presented in this paper will produce a direct benefit in relation to the decision making method and the design of the UAV autonomous flight control system.

Keywords-unmanned air vehicle (UAV); decision making algorithm;autonomous flight; inverse-design method;predictor-corrector algorithm; generic algorithm;real-time;


Self-organization Theory and Surveillance of Network Anomalous Behaviors

Zengtang Qu

Department of Information

Liaoning Police Academy

Dalian, China

e-mail: dlstar@126.com

Ping He

Department of Information

Liaoning Police Academy

Dalian, China

e-mail: heping2000@163.com


Abstract—This paper discusses in detail the theory and method of non-trust measurement on network behaviors. It points out that the main problem of exploring an indefinite network’ trust lies in the lack of non-trust measurement on the network. The paper establishes the syndrome of anomalous behaviors based on the non-trust category of the network. At the same time, it also puts forward the non-trust measurement of the network along with non-trust tracing and self-organization of the network.


Keywords- self-organization; network security; Anomalous Behaviors; syndrome; surveillance


The Application of BP Algorithm of NN for the Temperature Identification of Shaft Furnace

Guohuan Lou, Xiaoyan Wang

College of Computer and Automatic Control

Hebei Polytechnic University

Tangshan, China

e-mail: zdhua@heut.edu.cn

Jianmin Wang, Wei Zhao

College of Computer and Automatic Control

Hebei Polytechnic University

Tangshan, China

e-mail: wangjianmin@heut.edu.cn


Abstract—This The pellet sintering process is a physical chemistry process, which is pure time-delay and non-linear with more variables and discrete parameters. In order to solve this problem, a new BP algorithm of NN for the temperature identification of sintering shaft furnace is introduced in this paper. BP network is combined with PID control and simulation effects are given with MATLAB. The experiment results show this method can make the temperature of firebox conform the requirement of the control standard and can also improve the output and quality of the products.

Keywords- Neural Networks (NN); BP algorithm; MATLAB; firebox


A Framework to support Heterogeneous Reputation Models Interoperation

in Multi-Agent System

He Lijian, Huang Houkuang

School of Computer and Information Technologyn

Beijing Jiaotong University

Beijing, China

sxhelijian@163.com, hkhuang@bjtu.edu.cn

Zhang Wei

School of Computer

Yantai University

Yantai, China

zw@ytu.edu.cn


Abstract—The reputation of agents in the Multi-Agent System(MAS) has been focused on distributed artificial intelligence domain in recent years. Many efficient and flexible distributed reputation models have been developed. Nevertheless the heterogeneity of agents(including heterogeneous reputation models) becomes one of the obstacles for them to cooperate. Based on the Functional Ontology of Reputation(FORe) and existing reputation systems, a framework is put forward to support interoperation among heterogeneous reputation models in this paper. The elements of the framework, such as rating, recommendation are formally defined. The issues of recommendation report forms, reputation integration, and witness reputation are discussed. Before depicting the agent architecture, we provide a case about how a present reputation model is implemented in the framework. The work will be beneficial to combine heterogeneous reputation models and to integrate applications with different reputation models.

Keywords-multi-agent system, distributed reputation model, interoperation, framework


Slip motor Speed control system based on LPC2136 and Low Cost CMOS Camera


YANG Shou-wang,GE Wen-qi,XU Zheng-ping

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

Changchun, China

yumeng_1005@163.com

YANG Shou-wang ,XU Zheng-ping

Graduate School of the Chinese Academy of Sciences


Beijing,China


Abstract—In this paper, designed the slip motor speed control system for packing rubber strip which is used in plastic steel door and window. The system, 32-bit embedded microprocessor LPC2136 as the control core, PWM speed control, velocity feedback from tachogenerator, rubber strip position feedback from the CMOS camera, has proved that CMOS camera’s image quality meets the engineering requirement; Slip motor speed is in the precision of 1 percent in scope of 0 to 1400rpm. Practical application shows that the system is reliable, stable and higher precision of control. The system design provides reference for similar control system and builds the basis for the design of intelligent control system.

Keywords- LPC2136, FPGA, OV6620,PWM, Control System.


An Approximate Algorithm for the Lane Reservation Problem

in Time Constrained Transportation

Yingfeng Wu

Department of Industrial Engineering

Guangdong University of Technology , GDUT

Guangzhou, P.R.China.

e-mail: dragostea306@hotmail.com

Naiqi Wu, Senior Member, IEEE

Department of Industrial Engineering

Guangdong University of Technology , GDUT

Guangzhou, P.R.China.

e-mail: nqwu@gdut.edu.cn


Abstract—This paper considers a new transportation problem: Lane Reservation Problem in Time Constrained Transportation. This kind of problem comes from large sportive events in a city or region where the travel time between sportive villages and stadium should fall in a strict time window. To guarantee the athlete transportation in time, the problem consists in temporarily creating special lanes on roads in the transportation network while minimizing the traffic impact to the daily traffic. The corresponding objective is to minimize the total weighted cost of reserved lanes. In this paper, we construct a new integer linear programming model for the problem, which describes the problem more accurately. Because the complexity of the problem, we propose an efficient tabu search heuristic to obtain near optimal solutions and compare it with the solutions obtained by the heuristic proposed in [1]. Computational results show that average gap between solutions obtained with the proposed tabu search heuristic and by a software package (Cplex) is less than 5.71% for large size instances, and the average computational time of solutions proposed by the heuristic is less than 39.414 second.

Keywords - Tabu search Heuristic; Lane reservation; Time constrained transportation


Performance Analysis and Comparison of FXLMS and FULMS Algorithm for Active Structure Vibration Control


Gao Shouwei, Gao Zhiyuan, Shao Yong, Yi Jincong, Zhu Xiaojin*

Department of automation

School of Mechatronics Engineering and Automation, Shanghai University

Shanghai, China

E-mail: mgzhuxj@shu.edu.cn


Abstract—Taking the piezoelectric beam as research object, filtered-U least mean square (FULMS) control algorithm for feed-forward adaptive control is analyzed and compared with filtered-x least mean square (FXLMS) feed-forward control algorithm, which can solve the problem that the vibration feedback may affect the measuring of the reference signal in FXLMS. By introducing FXLMS and FULMS control algorithm, this paper gives the controller design structure, while structure modal analysis to determine the optimal placement of piezoelectric sensors and actuators and model parameter identification for the controlled structure are done. Then the active vibration control experimental platform is established to verify the effectiveness of FULMS control scheme as well as FXLMS control scheme. Meanwhile the experimental results of FXLMS and FULMS are compared. The performance comparison shows that the FULMS adaptive vibration controller has a better control performance, with more rapid convergence than FXLMS controller.

Keywords-Adaptive Control; Active Vibration Control; Piezoelectric Structure; FULMS Algorithm; Performance Analysis and Comparison;


Based on Local Feature Region Fusion of Facial Expression Recognition

Chuan Wan and Yantao Tian

School of Communication Engineering

Jilin University

Changchun, China

wanchuan523@qq.com, tianyt@jlu.edu.cn

Hongwei Chen and Shuaishi Liu

School of Communication Engineering

Jilin University

Changchun, China

ailv2000@sina.com, liu-shuaishi@126.com

Abstract—A facial expression recognition method based on the fuzzy information fusion of the local features is proposed. Each original image is divided into many sub-images and all training sub-images from the same position construct a new training subset. The traditional PCA (principal component analysis) operates directly on a set of new training subsets respectively and a set of projection sub-spaces can be obtained. The local sub-feature of an unknown face can be extracted by projecting each sub-image onto the corresponding sub-space. According to these local sub-features, the membership grades of the test sub-images to the training sub-images can be determined. The identity of an unknown facial expression image is determined by the fuzzy fusion which aggregates the local sub-features. The experiments on JAFFE database show the effectiveness of the proposed method.

Keywords-facial expression recognition; principal component analysis (PCA); fusion; local feature region


A simulation method on Fault Diagnosis : Grounding Grids


Fusheng Wang, Taiyuan Normal University

Department of Mathematics

Taiyuan, 030012, Shanxi, P.R. China

e-mail: fswang2005@163.com

Chuanlong Wang, Taiyuan Normal University

Department of Mathematics

Taiyuan, 030012, Shanxi, P.R. China

e-mail: wcl@tysy.net


Abstract—The grounding system is made of steel in most of developing countries. When the steel is eroded, it is a potential problem and very dangerous to the power system. So, the fault diagnosis on grounding grids is of great economic value for the safety operation in electric power system. In this paper, a simulation computation method is presented by means of a nonlinear model. Via this method, the real status of the grounding grids can be imitated. A lot of numerical tests show that the method proposed is feasible, and have positive guidance to the fault diagnosis of grounding grids.

Keywords-fault diagnosis, grounding grids, nonlinear model, nonlinear programming, simulation computation.


Design and Simulation of Fuzzy Self-Adjusting PID Controller

of the Electrohydraulic Servo System


Xiaohong Yang

Dept.of Mechanical Engineering

North China Electric Power University

Baoding, China

Yangxh_ncepu@sina.com

Fan Yang

College of Mechanic and Electric Engineering

Agricultural University of Hebei

Baoding, China

Liush_hebau@sina.com


Abstract - A fuzzy self-adjusting PID (proportional integral differential) controller of the electrohydraulic servo system is designed and simulated. The controller applies the fuzzy reasoning algorithm into the traditional PID control. The controller can modify the PID factors and some parameters of the electrohydraulic servo system dynamically based on the running condition. The controller is simulated with “Simulink” of Matlab. The simulation test shows that the controller can select the proper parameters dynamically as the input displacement and loads be changed. It can improve the control effects of the electrohydraulic servo system under nonlinear and time-variation condition.

Index Terms - Fuzzy control; proportional integral differential; self-adjusting; Simulation


Diagnosis System for Pests on Fruit Trees Based on Multiple

Levels Imprecise Reasoning Arithmetic


Xiaohong Yang

Dept.of Mechanical Engineering

North China Electric Power University

Baoding, China

Yangxh_ncepu@sina.com

Fan Yang

College of Mechanic and Electric Engineering

Agricultural University of Hebei

Baoding, China

Liush_hebau@sina.com


Abstract - A diagnosis system for pests on fruit trees based on multiple levels imprecise reasoning arithmetic is developed using Visual C++. Object-oriented knowledge expression method is used, which makes it easy to dig and express knowledge and make it efficiently to reason. The mixture of forward and backward reasoning mechanism is used in the system. The rule of depth preference is adopted when searching objects. Multiple media technology such as sound, picture, and video is used in the system, which makes the system easy to use.


Index Terms - Artificial intelligence; object-oriented; knowledge expression; inference engine


Power Control of Three-phase PWM Rectifier for Microturbine

Shijie Yan , Xu Wang , Yao Li

School of Information Science & Engineering

Northeastern University

Shenyang, Liaoning Province, China

yanshijie@mail.neu.edu.cn


Abstract—Microturbine generator system is one of the most promising distributed generation systems because it is small, efficient and mobile. When it is running, the high-frequency alternating current of permanent magnet synchronous generator generating must be rectified and inverted into 50Hz AC to meet the user requirements. Normally, the diode rectifier is used. When we need to regulate voltage, the DC/DC converter is applied and the generator current is distorted and the power factor is low. Therefore, PWM rectifier is utilized to regulate voltage and power factor based on power control scheme. In microturbine system, the maximum frequency is 1200Hz and active power is severely impacted by the term of reactive power, so as to make DC link voltage unstable. We use feedforward scheme to automatically compensate for active power changing , so a stable DC link voltage and high power factor can be achieved. The results of simulation and experiment show that the proposed scheme is effective and practicable.

Keywords- microturbine; PWM rectifier; adaptive control; power factor; Lyapunov stability.


Behavior Analysis in Free Space and Obstacle Environment of Swarm Robot Systems Based on Vicsek Model

Zongchun Liu and Yantao Tian

School of Communication Engineering

Jilin University

Changchun, China

lufeng7891@163.com tianyt@jlu.edu.cn

Mao Yang

School of Communication Engineering

Jilin University

Changchun, China

Yangmao820@yahoo.com.cn

Abstract—In order to explain the phenomena of swarm systems form a synchronization behavior, a simple style of Boid model- Vicsek model is adopted. Vicsek model establish a mathematical model of the swarm agent’s synchronization. The self-organization regulations have been proposed to aim directly at three components: flock centering, direction coincidence, collision avoidance. We attempt to show the reasons why individuals in the natural world can get synchronization, and implement obstacle collision avoidance of the swarm system using artificial coordination fields. The simulation experimental results show that this strategy can achieve swarm-robot’s synchronization, and can avoid collision between the agent and the obstacle.

Keywords- Vicsek model; synchronization; swarm robot; artificial coordinating fields; obstacle collision avoidance


Design and Application of Dynamic Control System for Secondary Cooling of

Billet Continuous Casting

Wenhong Liu

Key Laboratory of Integrated Automation of Process Industry Ministry of Education

Northeastern University

Shenyang, China

liuwenhong@ise.neu.edu.cn

Zhi Xie

College of Information Science and Engineering

Northeastern University

Shenyang, China

waterheart666@sina.com.cn


Abstract—The continuous casting process is used for the solidification of molten steel into semi-finished shapes. The technology of secondary cooling is extremely important for output of the casting machine and quality of the strand. In the paper, a dynamic control system is presented, including solidification model in the secondary cooling, feedforward control based on continuous temperature measurement in tundish and feedback control based on surface temperature measurement. The mathematical model of solidification process is developed according to the principle of solidification, and the model is verified by measuring billet shell thickness through nail shooting and sulfur printing. Primary water distribution is calculated by solidification model according to procedure parameters. And it is adjusted by the other two control strategies on line. The control system has been applied on some caster and billet quality is obviously improved, indicating that the dynamic control system is better than the conventional open-loop system.

Key words: billet continuous casting; secondary cooling; water model; billet quality


Multi-delay Dynamic Neural Group Network Global Asymptotic Stability and Synchronization State Analysis

Xiang Li1, Kai Li2

1 School of Information Science and Technology, Liaoning University, Shenyang,110036

2 School of Mechanical Engineering, Shenyang University of Chemical Technology, Shenyang,110142

Liaoning Province, China

lx8098@gmail.com


Abstract – According to a multi-delay dynamic neural group network, the Lyapunov function is constructed firstly to achieve the judgment criteria of global asymptotical stability. Then, the synchronization states are analysized based on the complex coupled network.Through the Lyapunov stability theorem, the multi-delay dependent judgment criteria of synchronization states is presented. Finally, the controller is designed based on this structure. The simulation results demonstrate the effectiveness of this controller.


Index Terms – Multi-delay; neural group network; synchronization; globally asymptotical stability


Document Clustering by Fuzzy C-Mean Algorithm


Thaung Thaung Win

University of Computer Studies, Mandalay

UCSM

Yangon, Myanmar

thaung2winster@gmail.com

Lin Mon

University of Computer Studies, Mandalay

UCSM

Yangon, Myanmar

linnmon@gmail.com


Abstract— Clustering documents enable the user to have a good overall view of the information contained in the documents. Most classical clustering algorithms assign each data to exactly one cluster, thus forming a crisp partition of the given data, but fuzzy clustering allows for degrees of membership, to which a data belongs to different clusters. In this system, documents are clustered by using fuzzy c-means (FCM) clustering algorithm. FCM clustering is one of well-know unsupervised clustering techniques. However FCM algorithm requires the user to pre-define the number of clusters and different values of clusters corresponds to different fuzzy partitions. So the validation of clustering result is needed. PBM index and F-measure are used for cluster validity.

Keywords-Fuzzy c-mean algorithm, Clulster Validity, Document Clustering, PBM index


New Normalized Least Mean M-estimate Algorithm for Stereophonic Acoustic Echo Cancellation


Cheng Hui

Department of Automation

Sun Yat-Sen University

Guangzhou 510275, China

e-mail: chengh9@mail.sysu.edu.cn

Zhou Yi and Li Xiao Dong

Institute of Acoustics

Chinese Academy of Sciences,

Beijing 100190, China

yizhou@mail.ioa.ac.cn, lxd@mail.ioa.ac.cn


Abstract—This paper proposes a new robust adaptive filtering algorithm for stereophonic acoustic echo cancellation in impulsive noise environment. The well-known conventional two channel normalized least mean square (TCNLMS) algorithm performs very poorly when either the input or the desired signal is corrupted by impulsive noise. By employing robust M-estimate technique, a new two channel normalized least mean M-estimate (TCNLMM) algorithm is proposed, which only imposes mild additional computational overhead but achieves improved robustness to impulsive noises over its NLMS counterpart. Experiments are also conducted to verify the efficiency of the new algorithm.

Keywords-adaptive filter, stereophonic acoustic echo cancellation, robust estimate


Robust Dynamical Order Assignment for Linear Descriptor Systems


Zhu qian1,Yang Guang-ming1, Zhu Zhi-liang1

Software College , Northeastern University

Shenyang, 110819, China

e-mail: zhuqian_19840308@163.com

ygm5@hotmail.com

zzl@mail.neu.edu.cn

Zhang Qing-ling2

Institute of System Science , Northeastern University

Shenyang, 110819, China

e-mail: qlzhang@mail.neu.edu.cn


Abstract—This paper considers the problem of robust dynamical order assignment by derivative input feedback of descriptor systems. Descriptor systems provide us a more general description of physical systems, and this description is of great advantage than normal systems. Consequently and undoubtedly, descriptor systems have led us into a virgin land which is full of challenges and opportunities. Because of the specialization of derivative matrix of descriptor systems, some performances could not be realized by proportional feedback, but it could be realized by derivative feedback under some conditions, which implies the superiority of derivative feedback. Finally, an example is given to illustrate the validity of our method.


Keywords- singular systems; derivative feedback control; dynamical order; robust stabilization; Lyapunov equation


Study on Electric Arc’s On-line Detection and Warning System for Low Voltage Distribution Box


Dong Aihua, Yu Qiongfang, Lv Hui

School of Electrical Engineering and Automation

Henan Polytechnic University

Jiaozuo, China

dah@hpu.edu.cn

Yu Qiongfang, Zheng Dezhong

Measurement Technology and Instrumentation Key Lab of Hebei Province

Yanshan University

Qinhuangdao, China

yuqf@hpu.edu.cn


Abstract—The switch contacts and connection terminals of low voltage distribution box can arouse arc fault easily for the bad contact. The arc fault not only can affect the normal power supply, but also can arouse electrical fire probably. In order to check arc fault reliably, the arc voltage signal and arc light intensity signal are separately detected. This technology is the domestic first. Extract input and output line voltage of the distribution box, convert them into frequency signal respectively, and compare them to gain the arc voltage signal. Put the arc voltage signal and arc light intensity signal into the advanced single-chip microcomputer, PIC16F877, to analyze and estimate synthetically. The arc fault on-line detection and warning system not only can check and forecast the electrical fault of low voltage distribution box, but also can early warn the hidden danger of electrical fire.

Keywords- electric arc; on-line detection and warning system; arc voltage signal; arc light intensity signal; voltage distribution box


Simulation and Experimental Study on Active Vibration Control of Piezoelectric Smart Plate Based on ANSYS

Xiu-Mei Wang, Ju-Zheng Wang , Zhi-Yuan Gao , Xiao-Jin Zhu

School of Mechatronics Engineering and Automation, Shanghai University,

Shanghai ,CHINA

e-mail: wangxm@staff.shu.edu.cn


Abstract—Taking active vibration control of large space structures as the research background, modal and transient analysis is developed in this paper with finite element model of the piezoelectric smart plate constructed. With mode strain and displacement response curve obtained, active vibration suppression for the smart plate system is achieved as comparison of the control performance with simulation and experiment is illustrated. The simulation and experiment results suggest that analyzing the piezoelectric smart plate using ANSYS is practicable while the control method is effective.


GA-based Algorithm for Hardware/Software Partitioning with Resource Contentions


Shuang Dou1, Shan Ding1,2, Shi Zhang1, Liucun Zhu2

1. School of Information Science and Engineering, Northeastern University

Shenyang, China

2. Wuxi Vraic Intelligent Measurement & Control TEC., CO., LTD

Wuxi, China

E-mail: dou_shuang@hotmail.com, {dingshan,zhangshi}@ise.neu.edu.cn, autolczhu@yahoo.cn


Abstract—In embedded system design, hardware/software (HW/SW) partitioning is the NP–complete problem which searches reasonable composition of hardware and software components which not only satisfies the constraint of hardware but also optimizes the execution time. Blocks derive from the functional specification internally represented as control/data flow graph. In this paper, the model of the embedded system is extended so that resource contentions are taken into account. A GA-based algorithm is proposed on the basic of the model, in which “serial blocks” are calculated by NAP. The algorithm can lead to a more precise design space exploration. Experimental results show that, comparison with exhaustive search method, the algorithm we proposed can be conveniently implemented HW/SW partitioning with resource contentions.

Keywords-Hardware/software partitioning; Genetic algorithm; Resource contentions


Store-and-forward Based Methods for Queue Prediction Used In The Urban Bottle-neck Intersection


Manrong Yuan

College of Traffic and Transportation &State Key Lab of Automobile

Dynamic Simulation, Jilin University,

Changchun, Jilin 130022, China.

e-mail: yuanmanrong@vip.sina.com

Zhaosheng Yang

College of Traffic and Transportation &State Key Lab of Automobile

Dynamic Simulation, Jilin University,

Changchun, Jilin 130022, China.

e-mail: yangzs@mail.jlu.edu.cn


Feng Liu

College of Traffic and Transportation

Jilin University

Changchun, Jilin 130022, China.


email: siye583@163.com


Abstract— The problem of designing queue length forecast strategies for bottle-neck junction is considered. The saturation flow and predicted flow achieved through urban road network model and traffic flow prediction model respectively are used as input variables to the queue prediction model based on the Store-and-forward methods to compute the queue length occurring during the green time for phase. Then, a simulation test is presented, of which the results read that the precision of prediction can reach up to 84%, certifying the efficiency of the proposed methods.

Keywords- urban road network model;Traffic flow prediction model; Store-and-forward based method


Research for Incremental Update Data Model applied in Navigation Electronic Map


Yan Liu and Zhaosheng Yang

College of Traffic and Transportation &

State Key Lab of Automobile Dynamic Simulation

Jilin University, Changchun, Jilin 130022, China

Liuy78@126.com ;yangzs@jlu.edu.cn

Xiufeng Han

Department of Traffic Info Engineering & Control

Changchun Municipal Planning Bureau

Changchun, Jilin 130022, China

16554912@qq.com


Abstract—Most of the present Car Navigation systems are usually update data off-line, which does not satisfy the high verisimilitude requirements in Navigation Electronic Map applied in vehicle navigation and some advanced driver assistance systems. Based on this problem, this paper presents the Static and Dynamic Incremental Data-Update model for Navigation Electronic Map. With the resources-saving, this model could improve the update efficiency, provide a high performance-cost-ratio and satisfy the high verisimilitude requirement.

Keywords- navigation electronic map; incremental updating; data model


To minimize the delay of signalized intersection using LP and NLP


Xuan Zhou

Department of Electronics and Information Engineering, Chonbuk National University, Jeonju, Jeonbuk 561756, South Korea

zhouxuan-happy@hotmail.com

Kil To Chong

Department of Electronics and Information Engineering, Chonbuk National University, Jeonju, Jeonbuk 561756, South Korea

kitchong@chonbuk.ac.kr


Abstract---This paper develops a new method for minimizing intersection delay based on linear and nonlinear program. On the basis of geometric construction, a new set of formulas are proposed to estimate the steady-and-oversaturation delay. As a dynamic model, it can automatically allocate the green time to obtain the minimal delay. Since the objective function of delay is linear or nonlinear, only the combination of linear and nonlinear program can be applied to random situation. The two objective functions, subject to corresponding constraints, can achieve the best split green ratios by MAT-LAB. The simulation result shows that green splits got by LP combined with NLP can obtain less delay than using fixed green splits.


Keywords-linear and nonlinear; delay; green split; objective function, constraints.


Application of NN-based Backstepping Adaptive Controller

for Stabilized Platform of Shipborne Weapons

Li-Dong Guo, Zhen-Fan Tan, Li-Xin Yang and Li-Jun Zhang

College of Automation

Harbin Engineering University

Harbin, Heilongjiang Province 150001, China

guolidong0409@hrbeu.edu.cn


Abstract—A neural network (NN)-based backstepping adaptive control is proposed for the stabilized platform system of shipborne weapons (SPOSW) with uncertain nonlinear friction torque and load disturbance. First, with the using of NN approximator, an equivalent model is developed. Where the NN is used to estimate the uncertain nonlinear friction torque. Then, based on the equivalent model, address the problem of reconstruction error and disturbance load, an adaptive backstepping control scheme is proposed for the stabilized platform system. Moreover, the analysis of stability can be completed by Lyapunov stability theory, and the convergence rate of the tracking error can be governed by the choice of the control parameter values. Finally, to demonstrate the effectiveness of the proposed control scheme, simulation results are illustrated.

Keywords- Shipborne weapons; Adaptive control; Neural networks; Backstepping control; Lyapunov stability theory.


Self-tuning Controller for Servo Motor with an Adaptive Disturbance Observer


Hongkui Li

School of Science

Shenyang Ligong University

Shenyang, China

lhkdoc@yahoo.com.cn

Qinglin Wang

Department of Economic Management

Liaoning Provincial College of Communications

Shenyang, China

wqlin1975@126.com

Abstract—In this paper, the state-space disturbance observer was successfully applied to servo motors to estimate and compensate for load variation. Furthermore, an auto-tuning procedure was developed accordingly to identify the varied parameters for state-space disturbance observer of the motor. Then, a real-time IP position controller based on identified parameters is designed by neural network for permanent magnet synchronous motor (PMSM) servo system. The neural networks configuration is simple and reasonable, and the weight has definitely physical meaning. It has rapidly adjusting character to realize the real-time control. The simulation results show that the proposed control scheme not only enhances the fast tracking performance, but also increases the robustness of the servo system.

Keywords- disturbance observer; identification; servo system ;self-tuning; neural network


Trace Analysis and Identification on Un-motor Vehicle Driving State in Traffic Accident


ZHANG Han-xin

College of Traffic of Jilin University (study)

China Criminal Police University (work)

Changchun,Jilin / Shenyang, Liaoning, P.R.China

E-mail: katie886@126.com

XU Hong-guo/ TAN Li-dong

College of Traffic

Jilin University

5988 Renmin Street, Changchun, P.R.China

E-mail:xuhg@jlu.edu.cn / tanld@jlu.edu.cn


Abstract—the quickly developed bicycle in the un-motor vehicle is taken as example. From the three aspects of the strike vehicle, the no-motor vehicle and the cyclist which micro materials interchanged and the superficial attachment extracted, it provided the basis and the method to recognize the suspicion vehicles. According to the consults of massive correlation data, the accident scene record and participated many illustrative cases, the trace examination and appraisal method were classified and compiled. Mainly from trace aspects of vehicles, this question have been analyzed and expounded. So the reconstruction of accident scene can be done. It provides the method and the mentality to determine the driving state of bike in the traffic accident, enhances the accuracy and the fairness, which make the traffic accident responsibility recognized.

Keywords-traffic accident; driving state; un-motorizing vehicle; trace


^ RESEARCH OF FAULT-TOLERANT REDUNDANCY AND FAULT DIAGNOSIS TECHNOLOGY BASED ON CAN

ZHENYE WANG, XIAOSONG GUO, CHUANQIANG YU

Xi’an Research Inst. of Hi-tech, China, 710025

Email:wzy20040412@163.com

Abstract:

To enhance the reliability of the CAN bus, the relevant research in the CAN design and the Fault Diagnosis of the CAN-bus is carried out. The advantages of the analytical redundancy fault-tolerant control concepts and the hardware redundancy fault-tolerant control concept are effectively integrated and the control area network based on fault-tolerant redundancy technology is designed according to these ideas; an experiment setup is built to perform the Hard Fault detection of three CAN nodes. The experiment results verified that the resistance detection method can detect and locate the fault point of the CAN-bus permanent failure.

Keywords:

CAN; Fault-tolerant redundancy technology; resistance detection method; Hard Fault; Soft Fault


Study on Dynamic Route Guidance Method of Vehicle Based on Travel Time Reliability


Manrong Yuan

College of Traffic and Transportation &State Key Lab of Automobile

Dynamic Simulation, Jilin University,

Changchun, Jilin 130022, China.

Zhaosheng Yang*

College of Traffic and Transportation &State Key Lab of Automobile

Dynamic Simulation, Jilin University,

Changchun, Jilin 130022, China.

Shifeng Niu

College of Traffic and Transportation

Jilin University

Changchun, Jilin 130022,China


e-mail: yuanmanrong@vip.sina.com


e-mail: yangzs@mail.jlu.edu.cn


e-mail:nsf512@yahoo.com.cn


Abstract—This paper proposes a method for application in dynamic route guidance using travel time reliability. The definition and calculation method of Travel time reliability of road section, road path and road network is given in this paper, and three road impedance functions are design for different layer. Based on the road impedance functions and road network model, the reliable dynamic route guidance method (RDRGM) proposed to give the optimal routes, whose objective is not only fast, but is also reliable. The performance of RDRGM is evaluated using simulation data. The experimental results indicate that the proposed RDRGM is satisfactory.

Keywords-dynamic route guidance; travel time reliability; road impedance


The Pressure Testing Machine Based on Variable

Universe Fuzzy PID Algorithm


Guoqiang Cao&Zongling Cao

Shengyang Institute of Aeronautical Engineering

School of Mechanical and Electrical Engineering

Liaoning, China

E-mail:qq286618571@163.com

Ji Gao&Tanji Yu

Shengyang Institute of Aeronautical Engineering

School of Mechanical and Electrical Engineering

Liaoning, China

E-mail:caozonglingczl@163.com


Abstract—The control system of pressure testing machine is uncertainty, nonlinear and it is vulnerable to the impact of load change. In this paper, a new variable universe fuzzy PID control algorithm is introduced to solve the problem of the fuzzy controlling dead zone and the adjustment of PID control algorithm, which is based on the perfect theory of PID controller. Compared with the traditional control algorithms, the simulation results of the test-bed, which is based on MATLAB /Simulink 6.0 show that the new control algorithms has strong adaptability and improve the control precision and the dynamic performance.

Keyword- pressure testing machine; nonlinear system; variable universe fuzzy PID; Matlab/Simulink 6.0


Understanding the STEP-NC Data Model for Computer Numerical control


Yu Zhang

1School of Mechanical Engineering and Automation

Northeastern University

Shenyang, China

e-mail: zy4097534@126.com

2Department of Mechanical Engineering

University of Auckland

Auckland, New Zealand

e-mail: yzha540@aucklanduni.ac.nz

Xiaolan Bai

1School of Mechanical Engineering and Automation

Northeastern University

Shenyang, China

e-mail: baixiaonan@yeah.net

Xun Xu

2Department of Mechanical Engineering

University of Auckland

Auckland, New Zealand

e-mail: x.xu@auckland.ac.nz


Yongxian Liu

1School of Mechanical Engineering and Automation

Northeastern University

Shenyang, China

e-mail: yxliu@mail.neu.edu.cn


Abstract—STandard for the Exchange of Product data-compliant Numerical Control (STEP-NC) is a new model of data transfer between CAD/CAM systems and CNC machines. It remedies the shortcomings of ISO 6983 by specifying machining processes rather than machine tool motion, using the object-oriented concept of Workingsteps. STEP-NC is being developed concurrently under two different subcommittees of ISO Technical Committee 184, Industrial automation systems and integration so that two different standards, ISO 14649 Data model for computerized numerical controllers and ISO 10303-238 Application interpreted model for computer numeric controllers are generated, both of which can be represented in 10303-21. In this paper, ISO 14649 NC program in Part21 relative to Example 1 in the ISO 14649-11 is explained in detail so that people can easily understand the object-oriented data model and the advantages of ISO 14649 from the actual example other than abstract and unintelligible theory. Probably, more beginners can get some revelation so that STEP or STEP-NC can get more attention and their development will be faster.

Keywords-component; STEP-NC; computer numerical control;ISO 14649; data model


The Routing Algorithm of Link-disjoint Paths based on Ant Colony System in Ad Hoc Networks

Zhenchao Wang, Jing Wang, Yijin Wang

College of Electronic and Information Engineering

HeBei University

BaoDing, China

Email: xuanguan2004@163.com


Abstract—In order to reduce the congestion of Ad Hoc network and increase the speed of routing searching , the link-disjoint paths algorithm based on ant colony optimization is proposed in this paper. The new algorithm introduces the intelligence and positive feedback of ant algorithm to link-disjoint paths algorithm to improve the probability of path optimization, sets the age domain of ant to reduce immersion, and lets the ants search routing parallelly to increase the speed. Besides, in order to reduce the occupancy of network resources, only the ants which carry the final routing data are allowed to return to the source node. The simulation results show that the new algorithm is effective and superior to the original link-disjoint paths algorithm.

Key words-the ant colony algorithm; Ad Hoc network; link-disjoint paths; routing algorithm


Cooperative Time Synchronization Based on Industrial Wireless Networks

Xiaotong Zhang1), Guolin Hu2)

1. School of Information Engineering

University of Science and Technology Beijing

2. Beijing Aerospace Control Center

Beijing, China

xunause@sohu.com

Na Xu1), Yunjie Zhang1,3)

3. Tianjin Institute of Urban Construction

Tianjin, China

masterhgl@sina.com


Abstract—According to spatial averaging and not traditional time averaging, cooperative time synchronization supposes a new method for time synchronization in wireless sensor networks. In this work, we present a cooperative time synchronization protocol that uses broadcasting and spatial averaging for the characters of industrial wireless networks. This protocol can dynamically adjust the received rate of the time synchronization messages on time and space, in order to achieve high precision and strong robust. Simulation estimates that the protocol has much better synchronization performance than traditional protocol only using time averaging in multiple-hop networks.

Keywords—industrial wireless sensor networks; time synchronization; cooperation; spatial average


A concept of distributional control system targeting relational rent links

of global value chains


Yang lei

School of Tourism & Hospitality Management

Shenyang Normal University

School of business administration

Northeastern university

Shenyng, China

e-mail: yanglei2000@126.com

Du xiaojun

School of business administration

Northeastern university

Shenyng, China

e-mail: du_xiaojun@sina.com


Dai weidong

School of management


Shenyang university of technology

Shenyng, China


Abstract- for many firms, embedding global value chain is a requirement to gain continual competitiveness. Different links of GVC may produce different rents. Relational rent created by actors’ collaboration of a link is an important resource of super profits. Relational rent distribution determines the cooperative performance. A distributional control system can assistant participants evaluate cooperative intents, make fair distributional decision. Digging requirement of this given domain, designing concept of distributional system and paying attention to intercultural and inter-organizational apply can help firms embedding GVC improve the ability of gain relational rent and continual competitiveness.

Keywords-rent distribution; GVC; requirement elicitation; stakeholder-driven


Research on Maximum Power Point Tracker Based on Solar Cells Simulator


Wei Peiyu, Tan Boxue, Zhang Housheng, Zhao Yanlei

School of Electrical & Electronic Engineering

Shandong University of Technology

Zibo, Shandong, China

zhseda@163.com


Abstract—The output power of solar cells varies with variable temperature, light intensity and loads. In order to solve the shortcomings such as long time and high cost of using solar cells to experiment, this paper successfully uses a DC power supply and a variable resistor to simulate the solar cells output characteristic curve, its feasibility is analyzed theoretically. The basic principle of the maximum power point tracking (MPPT) is described in detail. An improved disturbance method with variable voltage step is introduced, it inherits the advantages of traditional disturbance voltage method, overcomes the shortcoming of slow response of traditional method, reduces the power loss caused by maximum power point due to continuous disturbance, and realizes the maximum power point tracking for solar cells. The proposed method improves the system's speed and efficiency. The experimental results show that the system can track the maximum power point accurately and quickly.

Keywords-solar cells; maximum power point tracking (MPPT); Cuk converter ; simulator


Single Phase Photovoltaic Grid-connected Inverse Power System Based on DSP


Zhang Housheng, Zhao Yanlei

School of Electrical & Electronic Engineering

Shandong University of Technology

Zibo, Shandong, China

zhseda@163.com


Abstract—As the energy crisis and the pollution are serious, the exploitation of solar has received more and more attentions. The configuration and principle of photovoltaic grid-connected power system are analyzed in detail. The method of maximum power point tracking is designed and the control principle of voltage and current double closed-loop is analyzed in this paper. At the same time an improved phase locked tracking method combined with software and hardware is presented. The experimental results show that the current waveform of grid-connected inverter has the same frequency and phase angle with the grid voltage, the power factor of grid-connected inverter is 0.999, which meets the design requirement entirely.

Keywords-energy resources; solar cells; maximum power point tracking (MPPT); photovoltaic array; grid-connected inverter; phase-locked loop(PLL)


Transportation and Storage Problems

for Regional Power Coal Allocation Planning of China


Debin FANG

Economics and Management School

Wuhan University

Wuhan, Hubei Province, China

dbfang@whu.edu.cn


Ming ZHANG

Economics and Management School

Wuhan University

Wuhan, Hubei Province, China

zhang02ming@sohu.com


Chun YE

The State Electricity Regulatory

Commission

Beijing, China

yechun@serc.gov.cn


Abstract—With the reformation of China’s electric power and power coal system, several difficulties emerge in planning annual coal purchase and allocation schedule, e.g., with multiple sources, multiple destinations, different shipping vessels. So it is important to research on the transportation and storage problems for regional power coal allocation planning of China. In this study, these concerns are formulated as transportation and storage problems to realize the minimization of the regional transportation and storage cost. Furthermore, an effective optimization model is proposed to solve transportation and storage problems for regional power coal allocation planning integrating storage capacities of the different kinds of enterprises in the supply chain, which considers interactive effect on multiple participants, such as regional power plants, coal transportation companies, logistics centers, coal storage centers. A case study illustrates that the model and algorithm are reasonable compared with the classic transportation model, and the sensitivity analysis improves transportation and storage strategies for regional power coal allocation planning. Results obtained in this study clearly demonstrate that this model can not only satisfy more of the actual requirements of the integral system but also offer more information to the decision makers (DMs) for reference in favor of exalting decision making quality.

Keywords- power coal; transportation problems; storage problems; optimization model, allocation


Method of dynamic multi-criteria decision-making based on integration of absolute and relative differences

Dong Qing-xing

School of Business Administration,Northeastern University(NEU)

Shenyang ,China

dongqx3@126.com

Guo Ya-jun

School of Business Administration,NEU

Shenyang ,China

yjguo-2001@163.com

He Zhi-yong

School of Business Administration,NEU

Shenyang ,China

dzyzsj@163.com

Abstract—Most of the traditional dynamic multi-criteria decision-making methods utilize only differences of the systems’ evaluation values (which can be called absolute difference), then the conclusion of the evaluation is unfair to some evaluated objects. In consideration of disadvantages of the traditional method, a new method based on integration of absolute and relative differences is suggested. In this method, differences of systems’ developing status (relative difference) are taken into consideration. So more information can be put in and then produced out so as to approach reality closer. And also both the subjective and objective information are integrated. Finally, a numerical example was given to illustrate the effectiveness of the proposed method.

Keywords—absolute difference; relative difference; integration of subjectivity and objectivity; dynamic multi-criteria decision-making


Improved Ant Colony Algorithm

for Power Distribution Network Planning

ZHU Jia-mei

Information and Computer Engineering College

Northeast Forestry University

Harbin, 150040,China

efp@sohu.com

REN Hong-e

Information and Computer Engineering College

Northeast Forestry University

Harbin, 150040,China

renhonge163@163.com


Abstract—Proposesing a multi-state adaptive ant pheromones mechanism base on researching on ant colony algorithm model,pheromones update and pheromones selection had been improved. Make up the traditional ant colony algorithm for the calculation of distribution network planning that is slow and easy to fall into local optimal solution.And improved the convergence of the optimal solution.the validity of the improved algorithm has been verified using a testing function.Moreover,a satisfactory optimum solution for a Power Distribution Network Planning that has 73 user has been obtained.And the effective design method for permanent-magnet synchronous motor has been suggested based on the improved ACO.

Keywords- Keyword:Ant Colony Algorithm;Power Distributi-

on Netwok Planning;Optimization; dynamic adaptive


The Improvement Study of Model for Humidity Sensor Based on Quartz Glass


Dongmei Feng

College of Information Engineering

Inner Mongolia University of Technology

Huhhot, China

dongmei123-@163.com


Bajin Li

College of Information Engineering

Inner Mongolia University of Technology

Huhhot, China

libajin@imut.edu.cn


Abstract—This paper analyzes the 20 percent Sn4+-doped titania films who were prepared on the quartz glass humidity sensor by complex impedance analysis, improves the equivalent circuit model whose circuit description code is R(C(R(RC))). This equivalent circuit uses the constant phase angle element Q instead of the capacitance C in the second resistance-capacitance parallel entries, and its circuit description code is R(C(R (RQ))). The results show that the model is more reasonable, because the error is smaller when it is used to fit the impedance spectra of the sensor. The equivalent circuit is convenient for analyzing the diffusion information of the thin films because of the changes of the value of n.

Keywords—Humidity sensor; Equivalent circuit; The Q element


A New Construction Method of Balanced Correlation-immune Functions

Haimo Zhang

Huanghuai University

Zhumadian, China

haimozhang@126.com

Jiangjiang Guo, Jiayao Wang

Information Science and Technology Institute

Zhengzhou, China

gjj2001_2005@sohu.com


Abstract—As an important index of cryptosystems against correlation attacks, correlation-immune functions are widely used in the design of the cryptosystems. This paper researches construction and enumeration of balanced correlation-immune functions by column-balanced matrices. Using method of exhaustion and statistics, we give a new construction method of balanced 1-order correlation immune functions by constructing column-balanced matrixes. Based on new method, the enumeration lower bounds of balanced 1-order correlation-immune functions and balanced m-order correlation-immune functions are improved.

Keywords—Boolean function; balanced function; correlation immunity; column-balanced matrix


Weights Determination Based on

New Preference Relations


M.N. Syibrah. M.A. Lazim. C. T. Che Mohd Imran

Department of Mathematics Department of Mathematics Department of Mathematics

Universiti Malaysia Terengganu Universiti Malaysia Terengganu Universiti Malaysia Terengganu

21030 Terengganu, Malaysia 21030 Terengganu, Malaysia 21030 Terengganu, Malaysia

Email: syibrah@umt.edu.my Email: lazim_m@umt.edu.my Email: imran@umt.edu.my

Abstract - Weighted criteria is one of the important precedures in decision making. Each of the criteria has their own weights in predetermine the selection. It is normal practice in decision making to weight the criteria based solely on positive evaluation to represent degree of importance. However weights of criteria is possible to determine by considering two-sides evaluation. This paper proposes a method to estimate criteria weights under conflicting bifuzzy preference relations. The new preference offers an oppurtunity for decision maker to give judgment for both positive and negative evaluations simultaneously. The preference relations matrix is solved using the conflicting bifuzzy arithmetic averaging operator and score function. The aggregation is utilized by normalization prior weights determination. A numerical example is given to illustrate the proposed method. The ranking of the criteria is represented by the weights. It seems that an application of a score function in conflicting preference is a feasible tool in weights determination.


Keyword- Conflicting bifuzzy set; Intuitionistic fuzzy sets; Preference relations; Criteria weights.


Pole Width Modulation Method of PMSM and Its Magnetic Field Analysis

Yuejun An, Peng Wang, Hongliang Wen, Guoming Liu

School of Electrical Engineering

Shenyang University of Technology

Shenyang,China

wencyy224@126.com


Abstract--In the paper, an approach of place distributed magnetic pole on the surface of the rotor iron core of permanent magnet motor is proposed. This method uses the center area equivalent principle in the power electronics technology and achieves sine pole width modulation permanent-magnet rotor structure. According to the different modulation scheme, the magnetic field simulation and analysis is researched by 0.8kW PMSM in textile of the magnetic pole distributed using pole width modulation. Then, the experiment results of contrast between prototypes with conventional inblock rotor structure and 5 magnet arrays pole width modulation rotor structure are given in the paper. The results of the theoretic analysis and the experiment show that the magnetic pole which is designed to pole width modulation can weaken the magnetic field harmonics and make the air-gap magnetic field closer to sinusoidal waveform of permanent magnet motor.

Keywords-permanent magnet motor, pole width modulation, magnet array, electromagnetic field


On solving the min-max problem of the stress of the

Structural elements in the structural topology optimization


Tie Jun

College of Mechanical Engineering and Applied Electronics Technology

Beijing University of Technology

Beijing, China

E-mail: tielaoshi@sina.com

Sui Yun-kang

College of Mechanical Engineering and Applied Electronics Technology

Beijing University of Technology

Beijing, China

E-mail: ysui@bjut.edu.cn

Suan Dong-hai

College of Mechanical Engineering and Applied Electronics Technology ,Beijing University of Technology Beijing, China

E-mail: donghaisuan@emails.bjut.edu.cn


Abstract—In this paper, we deal with the min-max problem of the stress of the structural elements in the structural topology optimization. A generalized KS function is presented which transforms the local sress to global strain energy of structure through Von Mises Criterion. The ICM method is employed for solving the topology optimization problem. Some classic numerical examples are presented which provide quality solutions and the minimum stress design to obtain the final design.

Keywords- the min-max problem; generalized KS function; ICM method; strain energy; stress.


Earthquake Disaster Prevention Area Planning Considering Residents’ Demand

Cheng-An Tai Yung-Lung Lee  Ching-Yuan Lin 

* Ph. D. Candidate, Department of Architecture, National Taiwan University of Science and Technology, Taiwan

** Professor, Department of Land Management and Development, Chang Jung Christian University, Taiwan (Corresponding author: alexlee@mail.cjcu.edu.tw)

*** Professor, Department of Architecture, National Taiwan University of Science and Technology, Taiwan


Abstract—The earthquake evacuation behavior of residents relates to geographical characteristics. The contingent plan considers proper disaster prevention living area for prompt reaction assumed the least nearest distances to safety shelter. This study takes into consideration of residents’ evacuation demand including shelter choice preference, intention of evacuation, weakness people of aged and children, and route of safety. In addition the supply side of designated shelter location, accessibility of road network, capacity of shelters and residential density are applied with Weighted Voronoi Diagram analysis for suitable disaster prevention living area planning. A case study area Shin-hua, Tainan Taiwan is selected for evidence and GIS (Geographic Information System) is used to demonstrate the planning results.

Keywords-Disaster Prevention Living District, Weighted Voronoi Diagram, Geographic Information System


Consensus Problem of Multiagents with Switching Networks in State Space

Jingyang Liu

State Key Laboratory of Ocean Engineering

Shanghai Jiao Tong University

Shanghai, China

email: jy_liu@sjtu.edu.cn

Hong Yi

State Key Laboratory of Ocean Engineering

Shanghai Jiao Tong University

Shanghai, China

email: yihong@sjtu.edu.cn


Abstract—In this paper, we propose a linear consensus protocol for networked multiagents. Different from the other protocols proposed before, it uses a state space form which can take the dynamics of the agents into account in a natural way. To deal with switching communication topology, the whole group dynamics is regarded as a time-varying system. Directed networks and undirected networks are both covered by this protocol with only a mild requirement that the whole multiagents group is connectivity. For the convenient we give out a general design routine of the decentralized controller of each vehicle to achieve the consensus. Simulations are carried out at the end to demonstrate the effectiveness of this protocol.

Keywords-component; Multiagents; Consensus; Switching networks; State space


Coordination of Supply Chain with Advertise-Setting Newsvendor


Tie Wang

School of Mathematics and School of Management

Liaoning University and Shanghai University

Shenyang and Shanghai, China

wangt_1997@163.com

Qiying Hu

School of Management

Fudan University

Shanghai, China

qyhu@fudan.deu.cn


Abstract—This paper investigates the coordination of a decentralized supply chain in which a single manufacturer is selling a perishable product to a single retailer facing uncertain demand affected by her adverting expenditure and having shortage penalty. When the retailer behaving as a newsvendor faces stochastic advertisement-sensitive demands, she has to make the advertising and inventory decisions before the demand is realized. First, we establish that the supply chain can not be coordinated with the buy back, revenue sharing, and target rebate and quantity flexibility contract. Next, we show quantity discount contract can coordinate the supply chain and give a special quantity discount contract. Finally, we present a contract called revenue and loss sharing contract which mitigates the effect of shortage penalty loss and coordinates the decentralized supply chain.

Keywords- marketing and operations interface; marketing and operations interface, supply chain coordination; newsvendor model with advertising


Magnetic force analysis and experiment of novel permanent magnet axial thrust balance structure in canned motor pump

Yuejun An , Guoming Liu, Peng Wang, Hongliang Wen

Shenyang University of Technology

School of Electrical Engineering

Shenyang, China

wencyy224@126.com

Zhaojun Meng

Liaoning Institute of Science and Technology

Department of Automation Control

Benxi, China

mjz744@163.com


Abstract—This paper analyzed and calculated electromagnetic field and counterbalance force between the permanent magnet thrust plate for a novel permanent magnet axial thrust balance structure in canned motor pump using a numerical method of Ansoft software. Then constructed permanent magnet axial thrust balance experiment device and detected the characteristics of repulsion and attraction which make up of axial balancing force between the axial thrust plates. The numerical simulation is very consistent with experimental results and this shows the validity and accuracy of the study. So the paper provided basically conditions for further researching, designing and developing novel permanent magnet axial thrust balance device of canned motor pomp.

Key words: axial thrust balance; finite element; force detection; canned motor pump


Fuzzy Multiple Attribute Decision Making under Conflicting Condition


Y. Binyamin, C.T Imran, M. Lazim Abdullah, W. Fatah

Department of Mathematics,

University Malaysia Terengganu (UMT),

Terengganu, Malaysia

binyaminy@yahoo.com, imran@umt.edu.my, lazim_m@umt.edu.my, fatah@umt.edu.my


Abstract—Fuzzy multiple attributes decision making (FMADM) dealing with fuzziness in ranking and selection of alternatives with respect to multiple attributes. The determination of weight of each attribute being one of the most important parts in FMADM, as it will dominate the evaluation process. In this paper, the integration of subjective and objective weights is put forward for determination of attributes’ weight in FMADM model under conflicting condition. Fuzzy analytical hierarchy process and Shannon’s entropy measure are proposed as integrated weights. A numerical example is given to demonstrate the validity of our proposed method.


Keywords—fuzzy multiple attribute decision making, subjective weight, objective weight, conflicting bifuzzy sets.


RS encoder design based on FPGA


Chang Xiaojun

College of Information Science and Technology

Northwest University

Xi’an, China

e-mail: cxj273@gmail.com

Guo Jun

College of Information Science and Technology

Northwest University

Xi’an, China

e-mail: guojun998@tom.com

Li Zhihui

School of Economics and Management

Beijing University of Posts and Telecommunications Beijing, China

e-mail: huizice@gmail.com


Abstract—A time-domain RS (Reed-Solomon) encoder was studied in this paper. Firstly analyzed coding theory of RS codes under the finite field, and focuses on the implementations of constant coefficients parallel multiplier under regular basis. On this basis, designed the encoder of RS (255,223) symmetrical structure in the Quartus7.0 build environment using the symmetry of polynomial coefficients, and use Matlab to prepare RS encoder debug and procedures verification, finally, obtained simulation results with the ModelSim5.8. The results show that the encoder is in good condition, and speed and occupancy characteristics of the hardware resources are limited compared with the existing type design.


Keywords- FPGA; Reed-Solomon codes; encoder


DSMAC: An energy-efficient MAC protocol in Event-driven Sensor Networks


Cheng Yin

Shandong water polytechnic;

Rizhao,China

jyjsyc@163.com


Ya Li

Shandong Foreign Languages Vocational College;

Rizhao,China


Dongquan Zhang

RiZhao Branch Shandong Ltd, China Mobile Group

Rizhao,China


Yuanxue Cheng

Rizhao Radio & TV University

Rizhao,China


Maopo Yin

Jing-Yi Primary School

Rizhao,China


Abstract—In this paper we present DSMAC-an energy efficient medium access control (MAC) protocol in wireless sensor networks which are widely used for long-time monitoring. Our protocol is designed for event-driven and ultra-low power sensor networks. Using dynamic sleep scheme to save energy is one of the key problems in this kind of system. The basic idea is that, when an event is apperceived by sensors, all nodes in the network use a value of grads to earmark the location of an event, which is used for data searching expediently, and all nodes adjust their sleep periods dynamically due to their grads. Simulations show that, our MAC protocol for event-driven wireless sensor networks shows higher efficiency than exists approaches and is more suitable for long-time monitoring.


Keywords—MAC protocol; Wireless sensor networks; Dynamic sleep scheme;


A Queue Management MAC protocol for Delay-Tolerant Mobile Sensor Networks


Jie LI1,2, Yu-gui QU1,2, Qi-yue LI1,2, Bao-hua ZHAO1,2

1. Dept. of Electronic Engineering & Information Science

University of Science and Technology of China

Hefei, Anhui, China

2. State Key Laboratory of Networking and Switching Technology

Beijing, China

myl@mail.ustc.edu.cn


Abstract—For Delay-Tolerant Mobile Sensor Networks with highly dynamic and sparse topology, a queue management MAC protocol (Q-MAC) is proposed in this paper. Via the scheme of data transfers initiated by the targeted sinker and dynamic queue management strategy, Q-MAC provides better network performance. Furthermore experimental results show that Q-MAC reaches to 46% decreases in packet drop probability, 79% increase in system throughput, and 25% decrease in the mean packet delay.

Keywords- Delay-Tolerant Mobile Sensor Networks; Minimal Probe Frame; Wait To Send; Ready To Receive; queue management; priority; medium access control


Research of Image Retrieval Algorithm Based on PSO and a new sub-block idea

Kaiping Wei, Tingwen Lu, Qing Zhang, Wu Bi

Department of Computer Science

Central China Normal University

430079 Wuhan, China

Houjienanhai180@sina.com


Abstract----Image retrieval is a hot technology in the field of computer technology nowdays. this paperpresents a novel image retrieval algorithm which is mainly used to solve problems for image retrieval in large image database. Firstly, preprocess the sample images, abstract the color histogram information of the partial image block and then calculate the sum of information. Extract several images and calculate their color histogram information as the first step. Calculate the Euclidean Distance of the color histogram information between sample image and each image in the database. Then search the similar images with PSO (Particle Swarm Optimization Algorithm), If the search results are satisfactory, output the images, otherwise re-initialize the particle swarm and continue to search until you get the results that you are pleased with and at last output the images.

Keywords-PSO; color histogram; image Retrieval; PNSB


Flexible Parallel Combinatory OFDM System

Yafei Hou

Research Center for Information and Communication Systems, Ryukoku University, Japan

1-5, Yokotani, Seta, Oecho, Otsu

Shiga, Japan

E-mail: yafeihou@ieee.org

Tomohiro Hase

Faculty of Science and Technology of Ryukoku University, Japan

1-5, Yokotani, Seta, Oecho, Otsu

Shiga, Japan

E-mail: hase@rins.ryukoku.ac.jp


Abstract—In this paper, combining the parallel combinatory (PC) code and the a flexible OFDM structure [7], we report the design of a new OFDM system with PC code for various applications with a moderate transmission rate. The system can select appropriate phase sets for all modulated subcarriers for each PC code for different design requirements such as peak-to-average power ratio (PAPR) reduction or BER performance improvement. The proposed system will achieve better PAPR characteristics and promising BER performance. In addition, due to the flexible OFDM structure, the proposed PC-OFDM system will also have properties of high adaptability and compatibility.

Keywords- OFDM Structure, PAPR Reduction, FFT Operation, Parallel Combinatory (PC) code


Input Interface Using Fingertip Pressure


Takako Nonaka

Research Center for Information Communication Systems

Ryukoku University

Otsu, Japan

e-mail: nonaka@rcics.hrc.ryukoku.ac.jp

Satoshi Saino

Undergraduate School of Science and Engineering

Ryukoku University

Otsu, Japan


Masato Shimano

Graduate School of Science and Engineering

Ryukoku University

Otsu, Japan


Tomohiro Hase

Dept. Media Informatics

Ryukoku University

Otsu, Japan

e-mail: hase@rins.ryukoku.ac.jp


Abstract— This paper proposes a new operation method for portable devices and controllers using fingertip pressure. The proposed system provides multivalued, biaxial outputs according to the fingertip pressure from two directions. Strain sensors are used to detect microscopic strains caused by the fingertip pressure on the body of the portable device. For verification experiments, a prototype consisting of a detection circuit with two strain gauges and a 32 bit MPU with an aluminum body was manufactured, and various applications were implemented. The experimental results indicate that the prototype system can output accurate linear data proportional to fingertip pressure from two directions. With the proposed interface, the portable devices do not require a specific area, thickness, or position for input buttons on their bodies.

Keywords- Fingertip pressure, strain gauges, biaxial input and output.


Flat Panel Display Scan Model and Its Performance Evaluation System


Chen Zhangjin1,3 Kong Minda1 Xu Meihua1,2 Ran Feng1,2 Jin Zheming1

1. Microelectronic Research &Development Center, Shanghai University;

2. School of Mechatronical Engineering and Automation, Shanghai University;

3. Computer Center of Shanghai University, Shanghai 200072, China

zjchen@shu.edu.cn clude_sky@yahoo.cn


Abstract—The authors first describe the construction of the imaging circuit model of the flat panel display and propose the common principles for the grayscale imaging. Based on the circuit system and the principles, the mathematical model is then established and the key parameters for evaluation of the scan performance are defined. With the experimentation of a flat panel display, the authors present the high-performance, high-efficiency core scan circuit modules and verify that implantation operation is an optimization to maintain the high-grayscale, high-performance scan.

Keywords-component; Flat panel display; Mathematical model for scan; Transmission efficiency; Regular scan


Improved Video Compression for Indoor Video Surveillance Application

Qinghua Li Aixing Li Fengqi Yu


Department of integrated electronic

Shenzhen Institutes of Advanced Technology

Chinese Academy of Sciences

Shenzhen, China

e-mail: qh.li@siat.ac.cn, fq.yu@siat.ac.cn, ax.li@sub.siat.ac.cn


Abstract—This paper describes a new method to improve the compression ratio of H.264 when used in indoor video surveillance with static camera. Motion detection technique is introduced into H.264. The proposed motion detection algorithm consists of motion detection of successive frames and background frame subtraction. The motion detection of temporal frame is used in this system for detecting whether there are continuously moving objects between two consecutive frames. The background frame subtraction is used for detecting moving objects in current frame. Test results show that bit rate of video surveillance system can be reduced from 10% to 15% for the selected test sequences.

Key words: temporal frame motion detection, background frame subtraction, H.264 video compression


MDAC Design for 1.5-bit Pipeline Stage of High-Speed High-Resolution ADC


Zhang Guo-min

Institute of VLSI Design

Hefei University of Technology

Hefei, China

guomin1437@126.com

Yin Yong-sheng

Institute of VLSI Design

Hefei University of Technology

Hefei, China

yingyongsheng@hfut.edu.cn


Deng Hong-hui

Institute of VLSI Design

Hefei University of Technology

Hefei, China

denghonghui@hfut.edu.cn


Abstract—This paper presents a design of residue amplification circuit (MDAC) used in the first 1.5-bit pipeline stage of an ADC, and the MDAC should meet requirements of a 100MS/s 14-bit pipeline ADC with 1.8V supply voltage. In order to obtain the corresponding performance, the circuits such as operational amplifier and bootstrap circuit are designed which could realize the objective of high-speed and high-resolution. The gain-boost structure is used in the amplifier to obtain the specified resolution, and an optimization between speed and power dissipation should be carefully conducted as a high speed requires a large slew rate or trans-conductance which is proportional to power dissipation. The design is implemented in the 0.18µm CMOS process with 9.6mW power consumption and the simulation results in Spectre illustrate that, the designed operational amplifier could reach the fixed objective and the residue signal of MDAC could set up completely in the specified time 3ns.

Keywords-pipeline, MDAC, operational amplifier, bootstrap circuit, set up


QoS Supported MAC for Arbitrary Networked Control in Home Networks


Rui TENG† Tatsuya YAMAZAKI† and Kiyoshi HAMAGUCHI†

†National Institute of Information and Communications Technology, Japan

E-mail: †{teng, yamazaki, hamaguti}@nict.co.jp


Abstract— Home appliances can be connected in a ubiquitous manner by communication networks. In addition to the operation sensing of home appliances, appliance management via sending control messages will be needed. The control operations include power adjustment of home appliances and sampling rate change of a sensing device. It should be noted that control messages differ from sensing data and the former generally require more reliability. In this paper, we study the delay performance of control messages at MAC (Media Access Control) layer in the network with shared communication media. The proposed approach can confine the delay uncertainty of the control messages within a specified tolerant time for respective appliance.

Keywords- home networks, control messages, delay guarantee


Adaptive Error Control Mechanism Based on Link Layer Frame Importance Valuation for Wireless Multimedia Sensor Networks


Deguang Le, Yong Jin, Kaijian Xia

School of Computer Science & Engineering

Changshu Institute of Technology

Changshu, China

ledeguang@gmail.com

Guangwei Bai

Dept. of Computer Science & Technology

Nanjing Univ. of Technology

Nanjing , China


Abstract—Wireless multimedia sensor networks (WMSNs) are a new and emerging type of wireless sensor networks (WSNs), which enable applications of multimedia captured through special sensors equipped with cameras or microphones etc. However, WMSNs face the challenges of transport reliability and energy consumption. In this paper, we propose an adaptive error control mechanism based on the importance of link-layer frame (AEC-LLFIV). The mathematical analysis shows that our AEC-LLFIV achieves better performance compared with Forward Error Correction (FEC), Automatic Repeat Request (ARQ) and Chase combing Hybrid ARQ (HARQ), in terms of communication reliability and energy efficiency in WMSNs.


Keywords—Wireless Multimedia Sensor Networks (WMSNs), Adaptive Error Control (AEC), Link Layer Frame Importance Valuation (LLFIV)


The Key Technologies for a Large-scale Real-time Interactive Video Distribution System


Liqun Ma, Haihong Shen and Qishan Zhang

School of Electronics and Information Engineering

Beijing University of Aeronautics and Astronautics

Beijing, China

maliqun@gmail.com


Abstract—a real-time, interactive video distribution system on Internet for large-scale users faces three bottlenecks: real-time performance, interactive performance and bandwidth pressure. This paper, based on the approach to establish a Real-time Peer-to-Peer network (RTP2P) with the minimum video data delay as the primary goal, and establish a hybrid framework of P2P and centralized networks, argues that the goal of real-time, interactive video distribution system for large-scale users is able to be achieved. The key technologies include: greedy scheduling algorithm, push-pull scheduling model, and the hybrid network model. The test result proves, through an online education system with 2000 simultaneous users, that the end user’s video delay is within 10 seconds. Compared with the normal P2P video streaming system with the delay varies between 30 to 120 seconds, Real-time P2P is far more close to C/S networks, the widely adopted network in China, the high bandwidth cost of which restricts its promotion. In short, RTP2P is a more real-time, lower bandwidth-costing network to distribute video stream, saving more than 90% of the bandwidth cost. This program is applicable to the field of large scale users’ video real-time performance and interaction, such as online education, chat rooms, multimedia social games, live broadcasting, etc.

Keywords- Peer-to-Peer network, real time, interactione, video distributation


Solving Winning Probability Problems in Go


Lei Yu Chunni Dai Xiaojun Zhang Jingao Liu

Department of Electronic Science and Technology Department of Electronic Science and Technology Department of Electronic Science and Technology Department of Electronic Science and Technology

East China Normal University East China Normal University East China Normal University East China Normal University

Shanghai, China Shanghai, China Shanghai, China Shanghai, China

52071202015@ecnu.cn daicn@126.com xjzhang@ecnu.cn jgliu@ee.ecnu.edu.cn


Abstract—Positional analysis needs to be made in the Go game, and it is true for professional players or Go program. The present Go program regards the territory scores as a major standard in its positional analysis, which is a flawed approach. In this article, an approach is proposed to calculate the winning probability, and the model parameter is further optimized by genetic algorithm. Through this approach, various winning probability models based on different levels can be obtained. After the test, it is concluded that the precision of this model can be applied in the module of middle game and end game in the computer Go.

Key words¬—winning probability, genetic algorithm, Go


Multi-Modal Path Guidance Based on the Real Traffic Information


Zhijian Wang

College of Traffic and Transportation &State Key Lab of Automobile Dynamic Simulation, Jilin University, Changchun, Jilin 130022, China.

e-mail:wzjian0722@163.com

Zhaosheng Yang

College of Traffic and Transportation &State Key Lab of Automobile Dynamic Simulation, Jilin University, Changchun, Jilin 130022, China.

e-mail:yangzs@mail.jlu.edu.cn

Jian Wang

China Academy of Transportation Sciences, Information Center.

email:wangjian115@163.com


Abstract—As the effective method to solve the traffic jam, research on multi-modal path guidance will become the development direction of ITS. Based on the multi-modal urban dynamic traffic guidance, we construct a pilot system of Changchun. The system result provided the feasibility of the multi-modal urban transportation network model.

Keywords; multi-Modal; path guidance;real time;traffic information


A Research of Vidicon Acquiring Image Adaptive Control System Based on Locomotor Vehicle


ZHANG Bo-ping

College of Computer and Technology,

Xuchang University ,XCU,

Xuchang , 461000, China,

Iebopingzhang@163.com

Han Song

College of Computer and Technology,

Xuchang University ,XCU,

Xuchang , 461000, China,

hansong_aoxue@yahoo.com.cn


Abstract—In the practical application of Vehicle Plate Recognition, it is greatly effective on Vehicle Plate Recognition for the variety of exterior illumination. which is the most important problems to be taken into account, for realizing excellent Vehicle Plate Recognition system. The paper brings forward an Acquiring Image Adaptive Control System (AIACS) based on locomotor Vehicle through long-term research and large numbers of scene experiments, AIACS makes use of Accrete Matrix to analyze Vehicle veins and educe the Vidicon's adjusting parameter, in order to realize of controlling Vidicon, the AIACS can dynamically adjust algorithm according with demand of the Vidicon, feed back the interested image to assist the locomotor Vehicle obtaining clear Vehicle image.

Keywords- Vdicon; AICAS; Locomotor Vehicle


Research on Shooter Modeling of Image Guided Missile

Based on Neural Network

Wang Xiaofang, Lin Hai

School of Aerospace Engineering

Beijing Institute of Technology

Beijing, China

e-mail: wangxf@bit.edu.cn, flight@bit.edu.cn


Abstract—In the human-machine-environment system of shooter-missile-battlefield, shooter is very important for image guided missile to track and attack targets in complex ground successfully. To build the model of shooter, the angle error between missile’s optical axis and line of sight, and the change rate of the angle error were set to be inputs of model. The variable describing handle movement controlled by shooter was regarded as the output of model. Based on one group of representative data of shooter, the method of principal component analysis and Bayesian-regularization BP neural network were adopted to build the model by means of neural network identification. Simulation results prove that the neural network model of shooter is of good precision and good generalization ability. The model can be applied to design of guidance and control system of the missile and the method of shooter modeling can provide reference for modeling of human in other systems.

Keywords- shooter; modeling; neural network; identification; human-machine-environment


Virtual Display System of Virtools in E-Commerce


Xianmei Jiang

JiangXi Science and Technology Normal University

Nanchang, China

jiangxian_mei@126.com

Xiaoqiang Hu

JiangXi Science and Technology Normal University

Nanchang, China

chinavrmm@163.com

Ling He

JiangXi Science and Technology Normal University

Nanchang, China

Lynlyn126@126.com

Abstract—With the development of the virtual reality technology and Internet technology, three-dimension display of e-commerce has become an inevitable trend. The virtual display technology is studied by this paper, because there are some gaps of display in e-commerce sites. With the example of phone display which is designed basing on Virtools, how the virtual reality display technology is applied for e-commerce site is described.

Key words- e-commerce; virtual reality ; Virtools

E-commerce is an act of transactions in the Internet and has been a very rapid development. Display and display of goods is an important feature of e-commerce sites. With the limitations of HTML language, commodity display methods are often limited to use of pictures on display, and to assist in the text description and so on, which can only provide dimensional effect, from one side to see the product shape, so it is impossible to understand the product's features. So consumers have little interest in the products, and hamper decisions of consumer purchasing, reducing the success rate of business transactions in internet. The combination of e-commerce and virtual reality is in favor of presentation of three-dimensional information .It resolves the problem which the realistic constraints on the development of E-Commerce, and bring in unparalleled advantage in the network marketing effect.


Development of Virtual Simulation System on Power Plant Construction Process

CHE De-yong, LI Shao-hua, LIANG Xing-bao, ZHANG Qing-zhe, YAO Jian-feng, WANG Hu

School of Power and Mechanical Engineering

Northeast Dianli University, NEDU

Jilin, China

e-mail: chedeyong@gmail.com


Abstract—As the complexity of power plant construction process, the virtual simulation technology is applied to power plant construction area. Three-dimension models of the power plant parts are established, and virtual simulation system of power plant construction process is developed. The system simulates dynamically the construction process of all equipments in the power plant. Combined with voice caption and word description, the simulation system provides overall information of power plant construction process to decision-makers to determine a reasonable construction scheme. What’s more, it could be used to the staff training of the power construction enterprises effectively. It could also guide the construction process of the constructors on spot to a certain degree.

Keywords-power plant; construction process; virtual simulation; SolidWorks


The Appropriateness of Feed Forward and Feedback Mechanisms

in Alerting Less Conscious Response


Chattarakul, Pronyos

School of Architecture and Design

King Mongkut’s University of Technology Thonburi

Bangkok, Thailand

pronyos@redekthai.com

Teeravarunyou, Sakol

School of Architecture and Design

King Mongkut’s University of Technology Thonburi

Bangkok, Thailand

sakol.tee@kmutt.ac.th


Abstract— Currently, most products are designed to support their users using them consciously. In fact, there are four stages of learning according to the relationship of consciousness and competency: 1) unconscious incompetence, 2) conscious incompetence, 3) conscious competence, and 4) unconscious competence. The third stage is considered the most perfect due to users’ competency and consciousness whilst a task is being performed. As a consequence, products are designed by using feed forward, a signal sent from products to users, to a different sense other than the one engaged in a current task. This is deemed wholly suitable for users of the third stage. However, after having continuously performed a task, users eventually proceed to the fourth stage, that of unconscious competence user. Products designed to use feed forward signals at this point, might not be the most effective means of alerting unconscious competence users.

This study, then examines whether feedback or feed forward is better suited - in terms of speed - to alert user response to signals. The methodology of this study uses subject performance measurement. Subjects are asked to perform two tests - the first was one normally done unconsciously, that of simply seating oneself. The second task requires, through the performance of a repetitive act, (that of moving two red beans per time using chopsticks) drawing away the attention as much as possible, from subjects in their seats. The assumption is that subjects would adjust their posture accordingly (draw nearer to the red beans) when improved concentration was needed to move them and not to pay attention to whether they are seated correctly or not.

During the test, both feedback and feed forward signals alerted subjects to control distance between their eyes and the beans themselves. Results reveal feedback was better in alerting subjects when controlling distance and returning back to the original posture, in terms of speed of response.

The explanation is that response to feedback signal happens immediately. With feedback, the subject reacts physically at the body part, later sending a message to the brain explaining what has just occurred. Meanwhile, response to feed forward occurs only after the brain has sent commands to the body part it wishes to move. The objective of this study is neither to provide nor to confirm the appropriate use of the feedback signal, only to establish certain factors and their intricate relationship, which can be used to inform the design of feedback as a signal within products. Feedback signals themselves cannot completely alert unconscious competence users; however, kinesthetic ability of the tasks should be taken into consideration.


Keywords- Unconscious Competence User; Feed Forward-Feedback Control; Motor Skill


Flow Simulation for Vector Field Visualization on Unstructured Meshes


Hua Xu

Beijing Institute of Petrochemical Technology

Beijing, 102617, China

xuhua1010@yahoo.com.cn


Lin Yan

Beijing University of Chemical Technology

Beijing, 100029, China


Qiang Wu

China University of Mining and Technology

Beijing, 100083, China

wuq@cumtb.edu.cn


Junjie Wang, Zhenli Fan

China University of Mining and Technology

Beijing, 100083, China


Abstract - The development of common characteristics abstracted from flow phenomena is important to enhance computer simulation efficiency and reduce repeated work. In this paper, a hiberarchy of flow simulation is presented firstly. It is intended to provide reusable software components to various professional areas in order to effectively achieve vector field visualization, provided that related parameters are appropriately imported. A simulation algorithm, considering of some exceptional analysis, is introduced which depends on vector fields designed in discrete, unstructured mesh TIN-surface or TEN-solid. Furthermore, we present a concrete example to demonstrate the application of the proposed method to groundwater simulation for Beijing plain area, China. It shows that the method is fast and steady to simulate and visualize the flow phenomena.

Keywords - flow simulation; vector field visualization; unstructured mesh; application


A Efficient Data Replica Replacement Algorithm for Mobile Grid


Sun Bin, Dong Yueli

Department of Computer Science and Technology

Dalian Neusoft Institute of Information

Dalian, China

e-mail: sunbin@neusoft.edu.cn


Abstract—One of the major problems in Mobile Grid environments is the optimal distribution and replication of data files, in order to improve and maintain a high overall throughput of Grid jobs that access files. A data replica replacement algorithm based on value model is proposed and the arithmetic method to calculate replica value is introduced. This algorithm adapts to the high variation environment in Mobile Grid environment. The value of a data replica reflects the usage history of the cache and the variability of it. We construct a data replica value evaluation system which makes those unstable or rarely used replicas first be deleted, when there is not enough storage space during replication. Experimental results show that the proposed algorithm can obtain better performance for grid tasks to access data replicas.

Keywords-data replica;mobile grid;grid task;


Grid Task Scheduling Based on Constraint Satisfaction Neural Network


*DONG Yueli GUO Quan

* Department of Computer Science and Technology, Dalian Neusoft Institute of Information, 116023

dongyueli@neusoft.edu.cn guoquan@neusoft.edu.cn


Abstract—Task scheduling is of great significance to shorten performing time and minimize the cost for computational Grid. A grid task schedule algorithm is presented in this paper, which is based on a constraint satisfaction neural network. The constraint satisfaction means to remove the violations for sequence and resource constraints during scheduling subtasks for grid environment. The data-transferring costs among subtasks are also considered in our task scheduling. The simulation in this paper has shown that the task schedule algorithm is efficient with respect to the quality of solutions and the solving speed.

Keywords- constraint; task scheduling; grid; neural network


Multi-Timescale SDRE Control for an Unmanned Helicopter

Runxia GUO1, 2

1. School of Electrical Engineering & Automation

Tianjin University

Tianjin, China

rxguoblp@163.com

Aiguo WU1, Jiusheng CHEN2

2. Aeronautic Automation College

Civil Aviation University of China

Tianjin, China

agwu@tju.edu.cn


Abstract—This paper proposes an improved state-dependent Riccati equation (SDRE) attitude control approach which is applied to an unmanned helicopter (UMH) through a multi-timescale structure. To deal with inherent unstable internal dynamics, the flapping and rotational dynamics of the helicopter are organized into a two-timescale nonlinear model. To overcome the problem that a number of terms can’t be accounted in the SDRE design, we employ a nonlinear feedforward compensator that is designed to match the vehicle response to the model used in the SDRE design. To overcome the feedforward compensator’s disadvantage of being directly affected by parametric disturbances, we improve the design method and add a proportion+ integral (PI) controller. SDRE is solved by “ ” method. The simulation results show satisfactory tracking performance of the designed control system.

Keywords-unmanned helicopter (UMH), multi-timescale model,state-dependent Riccati equation (SDRE), improved feedforward compensator, nonlinear control


A Robust Cam Shift tracking Algorithm Based on Multi-cues Fusion

Xiao ming,Dong and Kui Yuan

Department of Hi-tech Innovation Center

Institute of Automation, Chinese Academy of Sciences

ZhongGuanCun east road 95, Beijing, China

xiaoming.dong@ia.ac.cn, kui.yuan@mail.ia.ac.cn


Abstract -A novel robust tracking algorithm based on multi-cues fusion under Cam Shift framework is proposed in this paper. The color and edge cues are applied to describe the object and an adjustable feature update model is incorporated into Cam Shift tracking process. The weights of the color and edges are tuned adaptively according to the probabilistic model in the tracking process, which enhances the tracking robustness. The experiment results show that the proposed algorithm could track the object robustly and accurately.

Keywords: Multi-cues fusion; Cam Shift; probabilistic model


On-Line Visual Inspection System for Backside Weld of Tailored Blanks Laser Welding


Min Xu

Shenyang Institute of Automation

Chinese Academy of Sciences

Shenyang, China

e-mail: mxu@sia.cn

Mingyang Zhao and Yuanyuan Zou

Shenyang Institute of Automation

Chinese Academy of Sciences

Shenyang, China

e-mail: myzhao@sia.cn


Abstract—In tailored blanks laser welding, the quality of backside weld has a significant influence on mechanical properties of weldment. This paper deals with the issue of visual measurement, inspection of weld bead and defect detection in tailored blanks laser welding. An inspection system based on laser structured light vision has been established for backside weld bead measuring and defect detection. Image processing and extraction algorithms of structured light profiles and feature points are presented. Dimensional parameters are measured and weld defects are detected in the process of tailored blanks laser welding. The experiment results demonstrate that the proposed inspection system and method are suitable for backside weld quality inspection of tailored blanks laser welding.

Keywords- tailored blanks laser welding; backside weld; visual measurement; structured light


Modeling and Control of Two Manipulators Handling a Flexible Payload

Based on Singular Perturbation


Zhiguo Tang

State Key Laboratory of Automobile Dynamic Simulation

Jilin university

Changchun, China

yuanchun@jlu.edu.cn

Zhiguo Tang, Yuanchun Li

Control Theory and Control Engineering

Jilin university

Changchun, China

yuanchun@jlu.edu.cn


Abstract—A composite controller is designed based on singular perturbation model of two manipulators handling a flexible payload with external disturbances and parameters uncertainties, where an adaptive sliding mode controller is presented for the slow subsystem. The control algorithm can realize trajectory tracking control in the large range and update some values of parameters effectively, comparing with the conventional sliding mode control method. A robust optimal controller is designed to suppress the elastic vibration. Finally, the cooperative control input is shown through dual-time scale transform. Numerical simulation results validate the modeling method and control law.

Keywords- singular perturbation; flexible payload; adaptive sliding mode control; manipulator; vibration suppression


Research on the automatic belt grinding system for machining blade with complex surface

Xu Yang, Ji Zhao *, Lei Zhang, Daqi Li

Institute of Mechanical Science and Engineering

Jilin University

Changchun, China

e-mail: yyxx207@163.com


Abstract—Blade is one of the most important components in devices such as generating equipments, aircraft engines and turbines. Its surface quality has important influence on the overall performance and working reliability of these devices. In this work, an automatic belt grinding system is designed to satisfy the growing demand for finish machining of blade with high-quality and high-efficiency. The belt grinding process of blade is firstly discussed and then, a self-adapting hybrid belt grinding machine tool is designed and analyzed. After that, grinding path on the blade is planned and motions of this machine tool when grinding the blade are calculated. At last, virtual prototype of this machine tool is built and the machining process when grinding blade is visualized. Simulation results indicate that the designed belt grinding system has very good performance when following complex surface and can be used in machining blade with complex surface.*

Keywords-turbine blade; belt grinding; free form surface; machine tool; grinding process


Sheave Wheel Stress Wireless Monitoring System Research of Mine Hoist

Wang Ying, Zhu Zhencai, Chen Guangzhu, Li Wei, Wang Zhongqiu

College of Mechanical and Electrical Engineering

China University of Mining and Technology

Xuzhou, China

ying.wang.paopao@gmail.com


Abstract—The fatal accidents of mine hoist, such as cage jam and rope slack, can’t be prevented effectively at present. In this paper, we propose a stress wireless monitoring system based on ZigBee communication technology in order to monitor the mine hoist by measuring the sheave wheel stress. First, we design. The system includes two parts: the data collector and controller, which monitor and transmit the real-time stress data to the computer; and the computer, which can realize the functions of data display, storage, analysis and output. The system is tested in Wangzhuang coal mine, Xuzhou, China. The validity and reliability of the system are proved. The system can be used as the data source of mine hoist’s fault diagnosis.

Keywords-sheave wheel; stress; monitoring system; mine hoist; fault diagnosis


Flight Control System of a Robotic Portable Unmanned Aerial Vehicle

Jinjun Rao, Tongyue Gao, Zhen Jiang and Zhenbang Gong

Department of Precision Mechanical Engineering

Shanghai University

Shanghai, China

jjrao, gty, zhjiang, zhbgong @shu.edu.cn


Abstract—Portable fixed-wing Unmanned Aerial Vehicles (PUAV) present enormous potential. In order to develop a robotic PUAV with significant levels of autonomy, the flight control system is studied. The platform is introduced and dynamics model is studied firstly. Then the infrastructure hardware and the architecture of the flight control system are detailed. As the core of the flight control system, the attitude controller using variable fuzzy controller is investigated, and a bilinear interpolation approach is presented to realize quick inference with low computation cost of the embedded micro processor. The flight simulation and experiment validates the performance of the flight control system of PUAV.

Keywords-Flight control system; portable unmanned aerial vehicles; variable universe fuzzy control; bilinear interpolation


Machine Vision-based Detection System of a Cleaning Robot

for Vertical Type Air-Conditioning Duct


Yi Cao, Huige Chen, Xinjun Yu, Haihe Zang, Xiujuan Li

School of Electrical Engineering

Henan University of Technology

Zhengzhou, China

e-mail: caoyioffice@yahoo.com.cn, chge1983@yahoo.com.cn


Abstract—As service robot, the cleaning robots for vertical type air-conditioning duct are studied in recent years. The detection system based on machine vision is a key component in the robot controller design. An effective method based on histogram similarity principle which is used in the machine vision is studied in the paper. Firstly, the configuration and workflow of the machine vision system is presented. Secondly, some key technologies based on the image histogram are studied. Finally, some experiments are carried out and the results illustrate in the paper. And the experiment results show the proposed method is useful and accurate.

Keywords-cleaning robot; machine vision; histogram similarity principle ;image histogram


APF Obstacle Avoidance in Polar Coordinates for Mobile Robot

Based on Laser Radar


YU Zhiqiang, GAO Meng,DENG Xiaoyan, DU Liqiang, HE Chaofeng, DI Jianhong, YANG Yong, SHI Yanhui, HU Liqiang

Shijiazhuang Railway Institute

Shijiazhuang 050043, Hebei Province, China

Yuzhiqiang38381@126.com, gaomeng@sjzri.edu.cn


Abstract—In order to improve the safety and the reliability of mobile robot, a method for the path planning and the obstacle avoidance is provided based on distance information that laser radar offers. The method used the improved artificial potential field (APF) and set up the real-time variation polar coordinates, whose centre was the place that the laser radar installed in. In the polar coordinates, the robot-to-obstacle relative distance was measured, the direction and the speed of robot were adjusted to avoid obstacles. The simulation results show that this method based on the distance information that laser radar provides can make mobile robot avoid obstacle reliably.

Keywords- laser radar; path planning; obstacle avoidance; polar coordinates; artificial potential field


NSS-AKmeans: An Agglomerative Fuzzy K-Means Clustering Method with Automatic Selection of Cluster Number

Yanfeng Zhang

Shenzhen Graduate School

Harbin Institute of Technology, HIT Campus at Xili University Town, Shenzhen, China

zhangyanfeng@hit.edu.cn

Xiaofei Xu

Department of Computer Science

Harbin Institute of Technology,

Harbin, China

xiaofei@hope.hit.edu.cn


Yunming Ye

Shenzhen Graduate School

Harbin Institute of Technology, HIT Campus at Xili University Town, Shenzhen, China

yeyunming@hit.edu.cn

Abstract—In this paper, we present a new Neighbor Sharing Selection based Agglomerative fuzzy K-means (NSS-AKmeans) algorithm for learning optimal number of clusters and generating better clustering results. The NSS-AKmeans can identify high density areas and determine initial cluster centers from these areas with a neighbor sharing selection method. To select initial cluster centers, we propose an agglomeration energy (AE) factor for representing global density relationship of objects, and a Neighbors Sharing Factor (NSF) for estimating local neighbor sharing relationship of objects. Then we use the Agglomerative Fuzzy k-means clustering algorithm to further merge these initial centers to obtain the preferred number of clusters and generate better clustering results. Experimental results on various data sets have shown that the NSS-AKmeans was very effective in automatically identifying the true cluster number as well as producing accurate clustering results.

Keywords- Neighbor Sharing Selection; agglomeration energy; Neighbors Sharing Factor; initial cluster centers; number of clusters


OFDM Baseband Modulation Technology

based on VHDL

Lin Lin

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

Graduate School of the Chinese Academy of Sciences

Changchun China; Beijing China

linlinat0218@yahoo.com.cn

Yan-feng Qiao

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

Changchun China

qiaoyf@ciomp.ac.cn


Wan-xin Su

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

Changchun China

swx123456@mail.jl.cn

Abstract—In order to improve the transmission velocity in mulitipath fading wireless channel, the high speed OFDM technology receives increasing attentions in mobile communication. Modulation programs are designed with VHDL based on the principle of OFDM in the paper. First, after OFDM fundamental is introduced; two main advantages are obtained via discussing spectrum utilization ratio of OFDM. Then, from the results of VHDL simulation, the realization of baseband operations, such as interleaver, subcarrier modulation, IFFT and adding CP, are presented. Finally, implemented programs are validated on the actual implement system. Experimental results indicate that setup time corresponding to transmission velocity is only 71.05µs and steady time is approximately 6 times as setup time, that is, not only achieving the high speed transmission, but also supplying adequate modulation time.

Keywords: OFDM; VHDL; Baseband Modulation


Multi-Mapping Based Ontology Merging System Design

Guanyu Li1, Zhenghai Luo2, Jianshuang Shao3

Faculty of Information Science and Technology, Dalian Maritime University,

Dalian, Liaoning, 116026, P.R. China

1 Email: rabitlee@163.com, 2 Email:luozhenghai1@126.com, 3 Email: jsshao1986@163.com

Abstract—It is found that ontology merging is the most effective way to solve the problem of ontology heterogeneity in distributed environment which can hinder the inter-operability of the services by using ontology to describe Web services and merged ontology can provide a good basis for the inter-operability of services. To solve this problem, firstly a framework for multi-mapping based ontology merging systems (MMOMS) is proposed, and the functions and working processes of its six composition modules are fully described. Secondly, the compound strategy to merge ontology mapping results is set forth in detail. Thirdly, 5 rules for ontology merging and 2 rules for conflict handling are given. Lastly, algorithms of ontology merging, attribute merging, relation merging, and super-class merging of MMOMS are designed formally. In terms of general performance, the experimental verification result reveals that the MMOMS works well in solving the problem of ontology heterogeneity in Semantic Web Services.

Keywords: Ontology Merging; Multi-Mapping; Semantic Web Service; Web Service Integration


Gear Tooth Profile Recognition System Based on Machine Vision


Li Qiang

Inner Mongolia University of Science &Technology

IMUST

Bao Tou,China

e-mail:nkdlq@126.com

Yan Hongbo

Inner Mongolia University of Science &Technology

Liu Yi

Inner Mongolia University of Science &Technology

IMUST

Bao Tou,China

e-mail:liuyihld@hotmail.com


IMUST

Bao Tou,China

e-mail:nkdyanhongbo@163.com


Abstract: This paper presents a new type for detection of spiral bevel gears by using machine vision technology. It is a high efficiency, high precision and non-contact detection system. The concrete method is shown as follows: Cameras were calibrated with improved Tsai two-step method. Then, the two cameras in two different orientations taken gear images. After matching the two images robustly, using correspondence between image feature points and imaging geometry to solve the three-dimensional coordinates of feature points. Finally, recognize tooth profile in contrast deal tooth data.

Key Words: machine vision; spiral bevel gear; gear tooth profile ; recognize


Video smoke recognition based on optical flow


Yu Chunyu, Zhang Yongming, Fang Jun, Wang Jinjun

State key laboratory of fire science of USTC

Hefei 230027, Anhui province, China

Email: ycyu@mail.ustc.edu.cn


Abstract—A novel video smoke recognition method based on optical flow is presented. The result of optical flow is assumed to be an approximation of motion field. The method is proposed as following, first, moving pixels and regions in the video are determined by a background estimation method. Then, a pyramidal implementation of the Lucas Kanade feature tracker is proposed to calculate the optical flow of regions determined by the first step. And the average and variance of the corner points’ optical velocity are calculated which we call optical flow features and use to differentiate smoke from some other moving objects. Finally, examples consisting of features extracted from sequences of off-line videos are collected for the training of a discriminating model. A prototype of back-propagation neural networks is introduced for the discriminating model. Experiments show that the algorithm is significant for improving the accuracy of fire smoke detection and reducing false alarms.


Keywords-component; video smoke recognition; pattern recognitio; motion featur; optical flow; neural network.


Optimizing Grid Resource Allocation by Combining Fuzzy Clustering

with Application Preference


Dawei Sun

School of Information

Science & Engineering

Northeastern University

Shenyang, China

sundaweicn@163.com

Guiran Chang

Computing Center

Northeastern University

Shenyang, China

chang@neu.edu.cn

Lizhong Jin

School of Information

Science & Engineering

Northeastern University

Shenyang, China

jinlizhongneu@163.com

Xingwei Wang

School of Information

Science & Engineering

Northeastern University

Shenyang, China

wangxw@mail.neu.edu.cn


Abstract—Focusing on the problem of resource allocation under large-scale, distributed, autonomous, heterogeneous and dynamic environments in grid computing, a heuristic algorithm combining fuzzy clustering with application preference is proposed. Fuzzy clustering method is applied according to a group of features, which describe the user’s application preference, to realize reasonable pre-classification resource. Then a resource is chosen according to the synthetic evaluation value, which can make the user’s target utility maximized. There is no need to search every resource at each scheduling step. Therefore, the cost on choosing the resource to execute the current task is reduced significantly. Experimental results show that the bigger the target system, the more efficient the algorithm is, and the more satisfactorily the application preferences of users are met. Furthermore, since resources are classified by different application preferences, this method can also avoid heavy loads concentrating on only a few resources so as to improve load balance in grid environments.

Keywords-grid computing; application preference; fuzzy clustering; resource allocation; heterogeneous computing environment


Research and Design of the Financial Supervision and Management

System Based on Data Center

Jie Ling

Faculty of Computer

Guangdong University of Technology

Guangzhou, China

jling@gdut.edu.cn


Miao Wang

Faculty of Computer

Guangdong University of Technology

Guangzhou, China

wmjsj06@126.com


Zhaoxia Yang

College of Mathematics and Computational Science

Sun Yat-sen University

Guangzhou, China


Feng Chen

Guangzhou Financial Bureau

Guangzhou, China


Abstract—According to the circulation process of financial indicators flow, data flow, capital flow involved in financial supervision work, based on the financial data center, designs a five-story architecture for the system including monitoring and analysis of budget preparation, monitoring and analysis of budget adjustments, monitoring and analysis of budget implementation, monitoring and analysis of accounts and other financial monitoring software features and monitoring point, given the implementation method of supervision and management system.

Keywords-Financial Supervision, Financial Data Center, Budget, Data extraction, Data warehouse


A High-speed Method of CCD Image Data Storage System


Zhang Feng

Graduate School of the Chinese Academy of Sciences

Beijing, China

zhangfeng1186@163.com

Wu qinzhang,Ren guoqiang

The Institute of Optics and Electronics

The Chinese Academy of Sciences

Chengdu, China


Abstract—A high-speed, real-time method of CCD Image data storage system is introduced. It integrates data acquisition and storage into a single FPGA chip. A SATA controller is designed in VHDL based on the protocol SATA 2.6 and implemented by using the GTX in V5FX70 series FPGA. If several disks are combined to RAID, the CCD data can be stored into SATA disk parallelly with the virtue of high speed, real-time, stable and portable.

Keywords- CCD Image data; high-speed; real time; GTX;SATA


Prediction of short-term bus routes passage flow based on wavelet analysis


Zhao Shuzhi

Transportation Plan and Management Department

Transportation and Traffic College of Jilin University Changchun, China

e-mail:zhaosz@jlu.edu.cn

Ni Tonghe(Affiliation Author)

Transportation Plan and Management Department

Transportation and Traffic College of Jilin University Changchun, China

e-mail: nile1949@yahoo.com.cn


Abstract—It is the basis for higher levels of benefits that whether a Public transport enterprises can allocate reasonably. During the bus business operations, the phenomenon of peak lack and pling peak idle of vehicle resources, results in a lower quality of service, passenger satisfaction is not high. In this paper, wavelet analysis and neural network methods are used to study the distribution of passenger flow at various time slots of bus routes, put forward a prediction method of bus line passenger flow time, describe the distribution of passenger flow of time-line, predict passenger flow of the period of the bus lines, and the transport vehicle dynamics control and reasonable dispatch can be realized.

Keywords-wavelet analysis; bus routes; passenger flow; prediction


Application of Linear Frequency Modulation Pulse Compression in Air-coupled Ultrasonic Testing


WEI Dong, ZHOU Zhenggan and NI Xiansheng

Institute for Nondestructive Testing and Mechatronics Engineering

Beihang University

Beijing, 100191, CHINA

zzhenggan@buaa.edu.cn


Abstract - Effective signal processing technology should be used to improve signal-to-noise ratio in air-coupled ultrasonic testing, because of there is feeble signal and low signal-to-noise ratio. Pulse compression of linear frequency modulation could enhance system’s signal to noise ratio and distance resolution effectively. Principle of linear frequency modulation pulse compression is introduced, including of designing and accomplishing of matching filter. The relationship between pulse compression parameters and testing result is analyzed. The affect of exciting mode to ultrasonic signal and pulse compression to signal-to-noise ratio are researched by comparing experiment results. Air-coupled ultrasonic C-scan testing system based on pulse compression is accomplished, and the effectiveness of pulse compression method is testified by ultrasonic imaging results.


Keywords: air-coupled ultrasonic; linear frequency modulation; pulse compression; C-scan imaging


Directional Multiscale Edge Detection Using the Contourlet Transform


Shun-feng Ma, Geng-feng Zheng, Long-xu Jin, Shuang-li Han, Ran-feng Zhang

Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences

Changchun, China

e-mail: jluer@hotmail.com

Shun-feng Ma, Geng-feng Zheng


Graduate University

Chinese Academy of Sciences

Beijing, China

e-mail: GF.Zheng83@gmail.com


Abstract—Wavelet multiresolution analysis allows us to detect edges at different scales, also to obtain other important aspects of the extracted edges. However, due to the usual two-dimensional tensor product, wavelet transform is not optimal for representing images. The main problem in edge detection using wavelet transform is that it can only capture point-singularities, and the extracted edges are not continuous. In order to solve that problem, we propose a new image edge detection method based on the contourlet transform. The directional multiresolution representation Contourlet takes advantages of the intrinsic geometrical structure of images, and is appropriate for the analysis of the image edges. Using the modulus maxima detection, an image edge detection method based on contourlet transform is proposed. To suppress the image noise effect on edge detection, the scale multiplication in contourlet domain is also proposed. Through real images experiments, the proposed edge detection method’s performance for the extracted edges is analyzed and compared with other two edge detection methods. The experiment result proves that the proposed edge detection method improves over wavelet-based techniques and Canny detector, and also works well for noisy images.

Keywords-wavelet; multiscale; edge detection; contourlet; modulus maxma; the scale multiplication


KNN Algorithm Improving Based on Cloud Model


Liu Yu

State Key Lab of Software Development Environment

Beihang University

Beijing, China

liuyu8014@163.com

Chen Gui-Sheng

China Institute of Electronics Engineering

Beijing , China

uaicloud@gmail.com


Abstract-KNN algorithm is particularly sensitive to outliers and noise contained in the training data set. In this paper, we use the reverse cloud algorithm to map the training samples into clouds. Each attribute is mapped to a cloud vector. Reverse cloud algorithm is not sensitive to the noise on data sets and it can eliminate the impact of noise on classification effectively. By comparing the similarity of clouds in the cloud vector, we can calculate the attributes weights. For those attributes with a low weight of properties, we find out merger them to a new attribute which can generate more significant attribute weight than original ones. We present a new KNN algorithm based on Cloud Model and compare our algorithm with classic KNN algorithms and other well-known improved KNN algorithms using 10 data sets. Experiments show that our approach could achieve a better or at least a comparable classification accuracy with other algorithms.

Keywords- KNN; classification; attribute weight learning; similarity; Cloud Model.


Retrieval of Bare Surface Soil Moisture from AMSR-E Data


Nianlong Han

College of Resources Science and Technology

Beijing Normal University

Beijing, China

e-mail: nlhan@ires.cn

Shengbo Chen, Zijun Wang

College of GeoExploration Science and Technology,

Jilin UniversityChangchun, China

e-mail:chensb@jlu.edu.cn;

wzj08@mails.jlu.edu.cn


Abstract—Passive microwave plays an important role in soil moisture monitoring. In this study, a layered soil emission model has been built based on theory of radiative transfer, combined with the random rough surface, soil dielectric constant model and soil moisture algorithm.The soil moisture in different frequencies was simulated and the look-up table set was established between soil moisture and soil brightness temperature in the taklimakan desert study area. The look-up table set was used to retrieve the soil moisture from the study area’s brightness temperature observed by AMSR-E.The results of soil moisture retrieval were compared to the AMSR-E soil moisture data product and their rms errors were calculated for validation. The validation results suggest that there is a good agreement between retrieved and AMSR-E soil moisture in study area at certain frequencies, and the soil moisture has been retrieved to the highest accuracy at 6.9GHz, with H poarization. In conclusion, the soil moisture in this study area can be well reflected by the retrieval results.


Keywords-soil moisture; passive microwave retrieval algorithm; layered soil microwave emission model; simulation and retrieval


Wind Speed Forecasting via ensemble Kalman Filter

Zhang Wei, Wang Weimin

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Shenzhen, China, 518055

wei.zhang1@sub.siat.ac.cn

Abstract—Wind speed prediction is crucial for electricity system security and planning. In this paper, ensemble Kalman Filter (EnKF) method is employed to predict 10 minutes averaged wind speed. We use Auto-Regressive and Moving Average (ARMA) model as the state function of EnKF, perturb initial wind data to generate ensembles and forecast wind speed data via EnKF. The comparison with in-situ measurements shows that EnKF may be suitable for wind speed prediction and improve grid integration of wind energy.


Index Terms— wind speed forecasting; EnKF; time series model; ARMA


Integration of Signal Transmission and Concurrent Processing into

Spatio – Temporal Process Modeling

Xu Aigong

School of Geomatics, Liaoning Technical University

47 Zhonghua Road, Fuxin, Liaoning Province,

China, 123000

xuaigong@lntu.edu.cn

A. H. Lakmal

School of Geomatics, Liaoning Technical University

47 Zhonghua Road, Fuxin, Liaoning Province,

China, 123000

lakmalah@gmail.com


Abstract—Traditional geographical information systems hold only a single state of the ‘real world’. However, geographic phenomena have not only static but dynamic characteristics. The work described in this paper explicit the development of the conceptual modeling phase of geographic phenomena in a dynamic perspective. This modeling approach highly correlates with the signal transmission and concurrent processing. Syntax and semantics of π – Calculus are also incorporate with processes in this model to furtherance the potential of signal transmission and concurrent processing among each domain. The paper considers a real world example as a case study to show the working of the model and emphasize its sustainability over the signal transmission and process progression.

Keywords- Signal transmission; concurrent processing; geographic phenomena; π – Calculus


The Research of Qt_Embedded and Embedded Linux Application in the Intelligent Monitoring System Control

Liu-Yang, Kun-Yue, Heming- Pang, Linying-Jiang

Software College

Northeastern University

Shenyang 110004, China

yangliuneu@qq.com

Abstract—This paper probes into the design of the intelligent monitoring system based on S3C2440 ARM microprocessor. It focuses on the difficult points of developing the GUI applications based on Qt/Embedded and the Linux drivers for various types of sensors in the Lab Intelligent Monitoring System project, achieving the combination of Qt/Embedded and the linux system programming.

Keywords-embedded linux; Qt / Embedded; S3C2440 ARM microprocessor; Intelligent Monitoring System


Automatic Semantic Image Classification and Retrieval

Based on the Weighted Feature Algorithm


Keping Wang Xiaojie Wang, Ke Zhang, Yixin Zhong

1. Department of Computer Science,

Beijing University of Posts and Telecommunications Beijing, 100110, China

2. School of Electrical Engineering ,

Henan Polytechnic University

E-mail: wangkp@hpu.edu.cn Department of Computer Science, Beijing University of Posts and Telecommunications

Beijing, 100110, China

E-mail: xjwang@bupt.edu.cn


Abstract—Organizing images into meaningful (semantically) categories using low-level visual features is a challenging and important problem in content-based image retrieval. Clustering algorithms make it possible to represent visual features of images with finite symbols. However, there are two problems in most current image clustering algorithms. One is without considering the choice of the initial cluster centers which have a direct impact on the formation of final clusters, and the other is without considering the relevant features and assigning equal weights to these feature dimensions. According to the two problems we propose a weighted features algorithm. First, we use the labeled image samples to calculate the weight for each feature according to the feature degree of discrete. These weighted features have been used to calculate the initial cluster centers because they can well represent the cluster. Then, we use the weighted features(based on the different image data set) algorithm to discard the irrelevant features and reduce the feature dimensions through the whole clustering process. Experimental results and comparisons are given to illustrate the performance of the new algorithm.

Keywords-semantic image classification; content-based image retrieval; cluster; weighted feature


Development of Computer Vision Measurement System for

Magnetic Head Pitch and Roll Angles of the Single

Head Arm Assembly in Hard Disk Driver

Zhen Chen 1 Zhi-Min Liu 1

Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education,

Guangzhou, P.R. China

e-mail: zhenchenid@scau.edu.cn

Yong-Chun Xu 2,*

Department of Computer Science

Guangdong Polytechnic Institute

Guangzhou, P.R. China

*Corresponding author, e-mail: ycxu@gdrtvu.edu.cn


Abstract—The researches on the high efficient, safe and accurate measurement system of magnetic head pitch and roll angles for the HAA in HDD are relatively lack now. In this paper, the perspective projection transformation of the magnetic head object point in the reference image plane was expressed by using the rotary tensor transformation matrix, and the principle for projection deviation angle between the actual object point and ideal object point was derived. Thus, the measurement system hardware with two sets of two-dimensional platforms and CCD camera for measuring magnetic head spatial pitch and roll angles was established, and based on Wit7.0 toolkit and using Microsoft VB6.0 programming language, the measurement system software were obtained by secondary development. Also, the stable performance of the measurement system based on computer vision was demonstrated in the practical application.

Keywords- pitch and roll angles; measurement; computer vision; HAA


An Edgebreaker & Code-Mode Based Connectivity Compression for Triangular Meshes


Liu Ying

College of Computer & Information Engineering,

Beijing Technology & Business University, BTBU

Beijing, China.

liu_ying@th.btbu.edu.cn


Han Zhongming

College of Computer & Information Engineering,

Beijing Technology & Business University, BTBU

Beijing, China.

webir@163.com

Dai Mingli ★

College of Computer & Information Engineering,

Beijing Technology & Business University, BTBU

Beijing, China.

daiml@th.btbu.edu.cn


Duan Dagao

College of Computer & Information Engineering,

Beijing Technology & Business University, BTBU

Beijing, China.

duandg@th.btbu.edu.cn

★ Corresponding Author


Abstract—In this article, we present an efficient connectivity compression algorithm for triangular meshes. It is a face-based, single resolution and lossless connectivity compression method. This method is an improvement on Edgebreaker. In the aspect of mesh traversing, we use adaptive mesh traversing method to make Split operations as few as possible, which are burdens of the compression ratio. In the aspect of Entropy encoding, a variable code-mode is well designed for every operator in the operator series, which is the result of mesh traversing. Then a binary strand can be obtained. And finally this binary strand is encoded by using adaptive arithmetic coding method. The compression ratio of our algorithm is obtained when all the operators in the series are encoded. In comparison to the previous best face-based encoding methods, our method can significantly improve the compression ratio.

Keywords- Edgebreaker, code-mode, adaptive arithmetic coding, meshes, connectivity compression, encode, decode


Prolonging Life Time of Wireless Sensor Network


Farzad Kiyani1, Roshanak Babazadeh_razi1, Behrouz Talebzadeh1, Sayyad Alizadeh1

1 Computer engineering Department of Islamic Azad university of Shabestar, Shabestar Iran

Farzad.Kiyani@gmail.com


Abstract


In this paper, in order to increase wireless sensor network life time, protocol with dynamic clustering is suggested. Because this network have got limited energy, therefore the energy issue is very important. The new protocol is proposed in two phases, cluster setup and steady state. This phase consist of creating cluster, dynamic distribution of cluster head, using dynamic tree structure and turning nodes on and off criterion phases which have the purpose of prolonging wireless sensor network life time.

In conclusion, results gained by the use of simulating with MATLAB software shows that suggested protocol increases the life time of wireless network 15 percent compared to the old protocols.

Keywords

WSN, Energy Consumption, Dynamic Clustering, Cluster Head, Network Life Time, Cluster neighborhood, Base Station.


Research on Chinese Subjective Questions Scroing Algorithm Based on Natural Language Processing

MAI Fanjin and YUE Xiaoguang

Modern Education Technology Center

Guilin University of Technology

Guilin, China

mfj@glite.edu.cn

ZHAO Ziqiang

Mechanical and Electronic Engineering College

Taiyuan University of Science and Technology

Taiyuan, China

ziqiang42@163.com

Abstract— Automatic scoring is a help to teachers of giving students exact marks in examination. This article focuses on the method by using natural language processing technology to achieve a viable algorithm. The concepts of the forward maximum matching algorithm and semantic similarity computation and contrary degree calculation are described in this paper. From what has been discussed above, Chinese subjective questions scoring algorithm is studied. Finally, an intelligent scoring system is designed based on the algorithm. Experiments have proved that Chinese subjective questions scoring algorithm and the intelligent scoring system perform well.

Keywords- natural language processing; semantic similarity computaion; contrary degree calculation


Electrode regulator system for ore smelting electric arc furnace based on active disturbance rejection control technology

Wang Yuhua

College of Electrical &Electronic Engineering,

Changchun university of technology

,Changchun City

Wangyh977@126.com

Miao Jianlin

College of Electrical &Electronic Engineering

Changchun university of technology

Changchun City


Abstract- The heat which electric furnace smelt iron alloy is needed is provided by electrode extreme. When the position of electrode extreme is perfect, the power consumption and productivity of production unit are in good state, so take control of electrode position is very important. Electrode regulator system of ore smelting electric arc furnace is a nonlinear, multivariate, parameter-time-varying system, its accurate mathematics model, inter-disturbance and outer-disturbance are unstable. Designing PID constant current single close loop control system is not so successful, so it puts forward a method of active disturbance rejection control strategy. Design an electrode disturbance rejection control controller which is independent from object model, and correct its parameter. The simulation experiment proves that when active disturbance rejection control controller applies to the ore smelting electric arc furnace overshoot of system regulation is little. Control effect is superior to traditional PID control, and it has strong robustness. Disturbance simulation experiment proves that the disturbance rejection effect of active disturbance rejection control system is perfect, and has strong inhibition force to the disturbance.

Keyword-ore smelting electric arc furnace; electrode regulator system; active disturbance rejection controller


Design of Intelligent Mobile Vehicle Checking System Based on ARM7


Lihe

College of Information Engineering

Inner Mongolia University of Technology

Hohhot,China

E-mail: ngdlihe@163.com

Lvfang

College of Information Engineering

Inner Mongolia University of Technology

Hohhot,China

E-mail: lvfang@imut.edu.cn


Abstract—With ARM7 as the core, the new intelligent mobile vehicle checking system integrated a lot of hardware modules such as video capture, GPS posi-tioning and wireless transmission, the design of the system software used the embedded software developing platform based on ADS integrated development environ-ment. By the hardware/software co-design, the new intelligent mobile vehicle checking system implemented the functions of video capturing, intelligent plate distinguishing, GPS positioning and wireless transmit-ssion, met the traffic auditing department’s needs about Mobile Vehicle Checking.

Keywords- Mobile Vehicle Checking; video capture;GPS; GPRS; embedded system

With the development of technology, people have higher expectation of living, country has invested a huge amount of money to the capital construction, especially to roads infrastructure. In this situation, the roads infrastructure is developing fast, the highway mileage has enormous increase and there is an increasing number of vehicles on the roads. However, the huge number of cars raises problems of its own, there are more and more car thefts, lost and violations of rules which are given serious attentions. The time which is spent on checking on the roads by the department of traffic charge, check and police has been taken too much. Meanwhile, vehicles overload problem is getting worse around the country. Because of the merits of high capacity, large services and economy, public buses have become the main means of urban traffic. If the bus which took lots of people had a traffic accident, the result would be serious. The main cause of those serious accidents is overload, therefore, it is time to find some way to resolve this problem. However, most departments take care of this problem in traditional way, such as manual judgment and road checking. This traditional vehicle checking way has some faults such as leak checking, false checking, and is a heavy work for vehicle checking people, so it needs to find a intelligent mobile vehicle checking system to replace the traditional one. The new intelligent mobile vehicle checking system is designed to meet this need.


A Business-Oriented Hierarchical Configuration Management Model and its Applications for Fault Localization and Impact Analysis


Xiang Gao, Chunsen Hou, Jianfei Ye, Zizhe Ding

China Mobile Communications Corporation (CMCC)

Beijing, China

{gaoxiang, houchunsen, yejianfei, dingzizhe} @chinamobile.com

Guangxin Yang, Shijun Chen

Corporation Technology Siemens AG

Beijing, China

{guangxin.yang, shijun.chen}@siemens.com


Abstract— The ever-increasing complexities of IT systems is bringing great challenges to IT management. Meanwhile, IT management is expanding beyond the traditional IT network management and IT service management, and spreading to business service management. Existing configuration management models for IT management solutions lack holistically presenting, managing, and leveraging the IT logical entities related to business services (such as computing services, application system, business system), relationships among these entities and traditional IT physical entities (such as networks, computers, and processes). This research studies how these entities interrelate to support business operations. We propose a business-oriented hierarchical configuration management model for describing their relationships and this model’s application for fault location and impact analysis. The model and algorithms form the basis of an advanced IT management platform being built within China Mobile Communication Corporation (CMCC).

Keywords-component; IT Management (ITM), Business Service Management (BSM), Configuration Management Model, Root Cause Analysis, and Impact Analysis


Ethnic Features Extraction and Recognition of Human Faces

DUAN Xiao-dong1,2, WANG Cun-rui1+, LIU Xiang-dong1, LI Zhi-jie,1WU Jun2, ZHANG Hai-long2

1) (The Research Institute of Nonlinear Information Technology of Dalian Nationalities University, Dalian ,CHINA,116600)

2) (The Graduate School, Northeastern University, Shenyang CHINA ,110004)

Abstract—Ethnic Facial Feature is one of the most important face features. We create a face database of ethnic groups and extract facial features by using face recognition technology. In the feature extraction method, we adapt the algebra and geometry features from face database. In algebra features, LDA algorithm extracting the algebraic features of human face images is used. The paper also constructs a new face template to extract the geometric features and locates the points of face templates by using Gabor Wavelet. KNN and C5.0 Classifiers are used to learn the train dataset. The result indicates that the average recognition accuracy rates of Tibetan, Uighur and Zhuang ethnic groups can reach 79% by algebraic features and 90.95% by geometry features.

Keywords Minority characters of face, Face recognition, LDA, PCA, Gabor Wavelet, Minority recognition


Adaptive predistorter based on

inverse saleh function and saleh model

LIU Hong-yu

the Telecommunication Engineering Institute,

Air Force Engineering University,

Xi’an, China, 710077


WANG Yi-ying

Wuhan architectural design institute,

Wuhan ,China, 430014

Abstract—This paper puts forward a adaptive inverse saleh function predistorter based on direct learning architecture according to the feature of saleh model to compensate for the nonlinearity of Power Amplifiers (PA). In this paper, we focus directly on a particular PA model and building a corresponding predistorter, After approximating the nonlinear static part by the four parameters function, Memoryless inverse saleh function model are adopted according to the saleh model. its parameters are estimated by using the intelligent algorithm. The identification technique of the predistortion is easy . It is proved to be correct through Matlab simulation.

Keywords-saleh model; inverse saleh function model; predistortion; indirect learning architecture


Using Second Order Sliding Mode Principle to Design Tracking Controller for a kind of Piezoelectric Actuators


Diantong Liu

Institute of Computer Science and Technology

Yantai University

Shandong Province, 264005, China

E-mail: diantong.liu@163.com

Wei Wang

China Astronautics Standards Institute

Beijing 100071, China

E-mail: ww99hq@sina.com


Abstract—A new second order sliding mode tracking controller (SOSMC) is presented for a kind of piezoelectric actuator (PEA) model with hysteretic nonlinearity. The second-order nonlinear dynamic model of the PEA is introduced and a second order sliding mode control law with dual-phase sliding movement is designed. In order to prove the system’s stability, a determinant theorem is presented. By theoretical analysis, the second order sliding mode controller is proved to be stable in the sense that all signals involved are bounded. The simulation results show the validity of the SOSMC for this kind of nonlinear dynamic model of PEA.

Keywords-Second order sliding mode; Piezoelectric actuator; Dynamic hysteretic model; Tracking control


Combining MSCR Detector and PCA-SIFT Descriptor for Scene Recognition


SHI Dong-cheng

School of Computer Science and Engineering

Changchun University of Technology

Changchun 130012, P.R. China

E-mail: dcshi@mail.ccut.edu.cn

YAN Guo-qing

School of Computer Science and Engineering

Changchun University of Technology

Changchun 130012, P.R. China

E-mail: guoqing_yan@163.com


Abstract—This paper introduces a novel scene recognition algorithm to perform reliable scene recognition. Firstly, to construct the maximally stable regions, we exploit the maximally stable color regions (MSCR) detector for improving the identification of stable regions. Secondly, each detected region is processed properly by using the method of mathematics morphology. Finally, the descriptor is computed by using the Principal Components Analysis (PCA) based scale invariant feature transform (SIFT) descriptors, with the detected MSCR regions as input. Our experiments demonstrate that this algorithm wins high recognition accuracy, is more robust to image deformations and is both significantly more accurate and much faster than the standard SIFT descriptor based algorithm. Also we compare our algorithm to the global appearance based method, and show through experiments in both indoor and outdoor environments that our approach performs better.

Keywords-scene recognition; feature extraction; MSCR; PCA- SIFT; invariant feature


WSN Nodes for Traffic Data-acquisition system

WAN Zhong-Bao, XIAO Yao, WANG Qing, GAO Zhi-Gang

(Research Center of Information Security, East China Jiaotong University, Nanchang 330013, China)

Abstract- With the development of intelligent transportation system (ITS), information-collection plays an increasingly important role. Research is based on Zigbee protocol for wireless sensor network technology, combined with video coding, designed a traffic data-acquisition system. Network nodes are distributed in the monitored area regularly, and responsible for collecting traffic video information, self-organizing network, sending the information to the cluster nodes to achieve dynamic display of information and large-capacity storage; for the issue of video information transmission, paper proposed a 3M algorithm which is based on the kalman filter, and then enhanced the video transmission’s reliability; simulations show that data-acquisition system has high accuracy and reliability.

Keywords- Wireless sensor networks; traffic information collection; Zigbee; video coding; kalman filter;


Automatic Segmentation for Ovarian Cancer Immunohistochemical Image Based on Chroma Criterion


Jiwen Dong,Jing Li

School of Information Science and Engineering

University of Jinan

Jinan,China

ise_dongjw@ujn.edu.cn

lijing1368@126.com

Jian Lu and Aifang Fu

School of Information Science and Engineering

University of Jinan

Jinan,China

lujian-777@163.com

fuaifang@126.com


Abstract—Immunohistochemical color image segmentation has important application value for quantitative assessment of immunohistochemical image. In this paper, an automatic segmentation method was proposed according to characteristics of color immunohistochemical images. First of all, we established a Chromatics criteria in RGB space so that positive cells regional and negative cells region were separated automatically and two new images-image A and image B were generated. Then, on the basis of the results, the improved ISODATA clustering algorithm was used in segmenting: ①Determine the initial cluster center of image A and image B; ②Extract positive cells of image A on R component and negative cells of image B on B component using ISODATA clustering algorithm. The improved ISODATA clustering algorithm reduced the sample amounts and enhances the computing speed. The experimental results showed that the method can be a good segmentation of ovarian cancer immunohistochemical images.

Keywords- immunohistochemical image; chromaticity criteria; ISODATA clustering algorithm


Design of a Level Sensor Applied on Monitoring of the Crane Rotary Base's Horizontality


Penghua Liu

Information Acquisition & Detection Key Laboratory

Beijing Information Science &Technology University

Beijing, China

lph_leo @yahoo.com.cn

Guowei Gao, Jian Wang

Information Acquisition & Detection Key Laboratory

Beijing Information Science &Technology University

Beijing, China

ggw@bistu.edu.cn, wangjian5603@163.com


Abstract—A new level sensor was developed for monitoring the crane rotary base's horizontality. The sensor utilized the dual-axis accelerometer SCA100T as sensitive element integrated digital signal processing, microcontroller technologies and LCD display technology which showed the angle of the crane rotary base and the horizontal plane on the LCD displayer by numerical forms. Experimental data analysis shows that the maximum error of the sensor is less than 0.015° to satisfy the monitoring request of the crane rotary base's horizontality.

Keywords-crane; sca100t; level sensor


Theory of NURBS and Its Application in Submarine Hull Modeling

Zhang Jing

Office of Research and Development

Naval Univ. of Engineering

Wuhan, P.R. of China

paulking1019@163.com

He Qiwei

Office of Research and Development

Naval Univ. of Engineering

Wuhan, P.R. of China

heqiwei1972@126.com

Feng Shaowei

Office of Research and Development

Naval Univ. of Engineering

Wuhan, P.R. of China


Abstract—Submarine hull consists of complicated spatial freeform surface. During the development of submarine design, the design of its body is the important factor which will decide whether this design is successful or not. But the design of complex curve and curve surface is the core in the CAD of submarine body. It is the key skill to speed up the localization and originality of imported equipment that the design thought or object prototype can be changed into CAD models. Studies the principles and method of NURBS (Non-Uniform Rational B-Spline), and the processes of its application in free-form curve and the submarine surface modeling are introduced with examples. The result showed that the application of NURBS technology can improve the efficiency and accuracy of computer design for complicate curve and surface model.

Keywords- Marine engineering; CAD;NURBS;Complex surface modeling


Network Traffic Generation: A Combination of Stochastic and Self-similar


Zhao Rongcai

Department of Computer and Science

China National Digital Switching System Center (NDSC)

Zhengzhou, China, 450002


Zhang Shuo

Department of Computer and Science

China National Digital Switching System Center (NDSC)

Zhengzhou, China, 450002

zhangshuo_z@126.com


Abstract—Network traffic generation is a vital part of traffic research as the exponential growth of the number of servers, as well as the number of users. Various researchers have reported traffic analysis that demonstrates different results of traffic modeling, such as Poisson distribution or considerable burstiness on a range of time scales with properties of self-similarity. Due to the distinct standpoint about the network traffic distribution, traffic generators have been developed dissimilar. In order to simulate the network traffic all-around, we present a technology of traffic generation which compose of stochastic and self-similar, and provide details on algorithm and implementation.

In this paper, a new model for multi-patterns network traffic generation is presented. This model is based on three elements including the latency of network frames, Hurst exponent and network traffic types. This paper analyses the three parameters and finds a way to describe the relations among these. We choose multifractal wavelet model as the basis method, and perfect it applicable to multi-patterns network traffic generation. In this research, a network traffic generation system based on programming multi-core processor is build and the test result is given.

Keywords-Multi-patterns; Hurst; Multifractal Wavelet Model; Multi-core; Network Traffic


On-line Robust Modeling of Nonlinear Systems Using Support Vector Regression


Li Dahai, Li Tianshi

School of Mechanical Engineering

Xi’an Jiaotong University

Xi’an, China

ldh319327@hotmail.com, ltsjd@mail.xjtu.edu.cn


Abstract—To improve robustness of support vector regression (SVR) in nonlinear systems on-line modeling, the relationship between outliers and the robustness of SVR is derived mathematically, and a new modeling method using SVR is proposed. The relationship indicates that the effect of outliers to SVR is decided by the training data distribution and the distance between outliers and the support vectors nearest to them. Therefore, in the method, each component of the training data is normalized into the same range, and then the components representing the system output are compressed differently to change the training data distribution to reduce the effects of the outliers. Meanwhile, a data updating criterion is presented to eliminate outliers. The method is applied to multichannel electrohydraulic force servo synchronous loading system to predict the load output, and the results show its effectiveness.

Keywords- support vector regression; robust; outlier


Periodicity Detection of Ballistocardiogram Based on Chaotic Oscillators


Fangfang Jiang, Xu Wang, Jingjing Jin and Dan Yang

College of Information Science and Engineering

Northeastern University

Shenyang, Liaoning Province, China

geminixy@163.com


Abstract—Ballistocardiogram (BCG) is a new, noninvasive technique used to record the movement of the body synchronous with the heartbeat due to left ventricular pump activity. However, BCG signal is so weak and easy to be jammed. In this paper, we achieved it through the measure system which is made by our BCG laboratory. Then, attempt to detect useful information from noises by chaotic oscillators. Experimental results demonstrate that this method is effective and practical.

Keywords-ballistocardiogram; chaotic ocsillators; periodicity; weak signal detection.


Signal Processing of Single-mode Fiber Sensor System Based on Raman Scattering


Sizu Hou Yanhong Jian Ying Chen Liangliang Han

Electronic and Communication Engineering

North China Electric Power University

Baoding, China

e-mail:jyh0921@163.com


Abstract—The spontaneous Raman scattering signal acquired from the single-mode fiber sensor system is completely submerged in noise. In order to effectively detect and eliminate the noise, and to acquire more reliable signal, an improved method combined with cumulative average algorithm and wavelet transform is proposed in this paper and applies to eliminate the noise of Raman scattering signal collected from the sensor system. By comparing, determine to use db5 wavelet and the decomposition level of seven layers. The results show that the signal processing method has better de-noising effect than the traditional processing method, while very well to retain desired signal, shortening the system's measurement time and improving the system performance. Therefore, the method has better de-noising application potential.

Keywords- Raman Scattering; Single-mode fiber; cumulative average algorithm ;wavelet de-noising


Identification Method of Traffic State Based on Cloud Theory

GAO Hongyan and LIU Fasheng

College of Information and Electrical Engineering

Shandong University of Science and Technology

Qingdao, China

e-mail:gaohongyan11@sohu.com


Abstract—Traffic state identification is a key technology of dynamic guidance system. In view of the fuzziness and randomness of traffic state, this paper develops an algorithm of traffic state identification based on cloud theory. According to synthesized cloud theory, the synthesized evaluation cloud model is established by integrating clouds of different evaluation factors. Using x condition cloud generator and maximal decision method, the synthesized identified cloud model is built. Finally, the cloud similarity between the synthesized evaluation cloud and the synthesized identified cloud decides the identification results. The experiment results show that it is feasible and can be easily implemented.

Keywords-traffic state identification; synthesized cloud; cloud similarity


Using NDVI Data for Malaysia Land Use Classification

Nianlong Han1,Chuang Liu 1,2 Tingting Lv 1

1College of Resources Science and Technology

Beijing Normal University

Beijing, China

e-mail: nlhan@ires.cn

2Institute of Geographic Sciences and Natural Resources Research;

Chinese Academy of Science;

Beijing China

e-mail: lchuang@igsnrr.ac.cn


Abstract—In order to verify the feasibility of NDVI time series data applied in land use classification at cloudy and rainy regions. In this paper, Malaysia was taken as an example, an appropriate land use classification of it was established, and Harmonic Analysis of Time Series (HANTS) algorithm was chosen to reconstruct the NDVI time series for Malaysia land classification. The results indicated that the NDVI time-series processed by HANTS can be well used in tropical region land use classification research.


Keywords-Malaysia; Land Use Classificaiton;NDVI Time-series; Harmonic Analysis; Decision Tree


An Adaptive Fingerprint Image Segmentation Algorithm

Based on Multiple Features


Shaole Zhang, Xiaojun Jing, Bo Zhang, Songlin Sun

School of information and communication engineering,

Beijing University of Posts and Telecommunications

E-mail: zhangsl126@gmail.com


Abstract—Fingerprint image segmentation heavily influences the performance of fingerprint verification systems. In recent years, some new methods have been introduced to the image segmenting processing in order to get better disposal results. And most of the proposed algorithms are based on threshold segmentation. In this paper, a novel approach is put forward to segment fingerprint images based on multiple features. It makes use of local and global features to determine block threshold adaptively without the experience. Meanwhile, the algorithm combines the point level segmentation with the block level segmentation in order that it could be capable of avoiding the appearance of the blocking effect of the foreground image edges at a low computational cost. The performance of the new algorithm is evaluated on FVC2004 database. Experiment results show that the proposed adaptive segmentation algorithm is effective and robust.

Keywords-fingerprint segmentation;threshold;local and glo-bal features;blocking effect


Low Quality Fingerprint Image Enhancement Based on Gabor Filter


Yi Hu, Xiaojun Jing, Bo Zhang, Xifu Zhu

School of Information and Communication Engineering

Beijing University of Posts and Telecommunications

Beijing, China

huyi1001@hotmail.com


Abstract—Fingerprint enhancement proceeds by fully utilizing the intrinsic properties of original images to improve the ridges and eliminate the noises. Although Gabor filter is a classical enhancement method, its function may suffer for the low-quality images due to the unreliable orientation and frequency map estimated by conventional approach. In this paper, a new approach has been proposed to estimate these parameters in an effective way. The local image is modeled as a non-stationary signal and the technique of Short Time Fourier Transform(STFT) is applied to it. Besides, to avoid the multi-step processing and inter-dependency, we extend the theory of probability in mathematics to get the orientation and frequency simultaneously. The performance of our approach is evaluated by the verification system of NIST and FVC2004 DB1_A database. Experimental results show that our method can improve both the image quality and the accuracy of fingerprint recognition.

Keywords-STFT; Gabor filter; fingerprint enhancement


An effective algorithm for fingerprint reference point detection


Jun Ma, Xiao jun Jing, Bo Zhang, Songlin Sun

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications

Beijing, China

lgcmajun@gmail.com


Abstract—It is very important to detect the reference point effectively and accurately, especially in nonminutiae based fingerprint matching and fingerprint classification. In this paper, an effective algorithm based on block level for fingerprint reference point detection is proposed to simplify detection process and improve accuracy of the position of the point. The method is simple in the preprocessing and easy to implement. We used the Poincare Index on the block level, which is combined with the adaptive smoothing for getting a better orientation map and the directional consistency factor with the purpose of choosing the correct block. The proposed algorithm has been tested on fvc2002 and fvc2004 database. Experimental results show it is effective and practical.

Keywords-reference point; Poincare Index; orientation field; adaptive smoothing; directional consistency factor


Speech-to-Visual Speech Synthesis Using Chinese Visual Triphone

Hui ZHAO, Yamin SHEN, Chaojing TANG

College of Electronic Science and Engineering

National University of Defense Technology

Changsha, China

nudtzhaohui@sohu.com


Abstract—A visual speech synthesis approach using Chinese visual triphone is presented. According to Mandarin Chinese pronunciation principle and the relationship between phoneme and viseme, “Chinese visual triphone” model is constructed. Triphone hidden Markov model is established based on visual triphones. Joint features composed of visual features and audio features are used in the training stage. In the synthesis stage, sentence HMM is constructed by concatenating triphone HMMs. With the features extracted from sentence HMM, visual speech is synthesized. From the scores of subjective and objective estimation, the synthesized video is realistic and satisfactory.

Keywords- visual speech synthesis; Chinese visual triphone; hidden Markov model (HMM); joint features


A New Algorithm for Ship Centerline Extraction in ISAR Image

Du Lin-lin, Xin Yu-lin, Chen Zeng-ping

ATR Key Lab

National University of Defense Technology

Changsha, China

kddulinlin@sina.com

Abstract—The centerline is an important feature in ISAR image features. In this paper, a new ship centerline extraction algorithm is presented. In the improved algorithm, the width character is used in the extraction of the ship centerline, and the line detection in normal centerline detection methods is replaced by line group detection. After finding the ship width and angle, the centerline position can be defined. The simulation results show that the estimation of ship centerline with this algorithm can reach higher precision than that of least-squares method and the projection method.

Keywords-Hough transform; least-square method; projection; centerline


A Chaos-Based Image Encryption Algorithm Using Wavelet Transform


Zhu Yu Zhou Zhe Yang Haibing Pan Wenjie Zhang Yunpeng*

College of Software and Microelectronics,

Nothwestern Polytechnical University

Xi’an, China

E-mail: rjxyjs@nwpu.edu.cn, zhouzhe063311@yahoo.com.cn


Abstract—In recent years many chaos-based image cryptosystems are proposed. As encryption process is applied to the whole image, it is difficult to improve the efficiency. In this paper, wavelet decomposition is used in our algorithm to concentrate the main information of image to the low frequency part. Then high-strength chaotic encryption is applied. After that, wavelet reconstruction and Arnold scrambling are used for diffusion. Finally, another wavelet decomposition and encryption round is needed to complete the encryption. The effective acceleration of chaos-based image cryptosystem is thus achieved. Theoretical analysis and experimental results show that the proposed algorithm has large key-space, high efficiency, and satisfied security, suits for image data transmission.

Keywords- cryptography; wavelet transform; chaos;


Visual Cryptography based Multiparty Copyright Protect Scheme


SHEN Ying1, 2

1 College of Computer Science and Technology

Zhejiang University of technology

Hangzhou, China 310023

shenying@zjut.edu.cn

2 College of Computer Science and Technology

Zhejiang University

Hangzhou, China 310027

YE Yinlan3

3 Shangyu College of Shaoxing University

Shaoxing, China 312300

sy-yyl@163.com


Abstract—This paper applies visual cryptography for copyright protection. A multiparty scheme is presented for coowners of digital image. The basic concepts of visual cryptography are explained at first. Then by comparing with referrence, a scheme for coowners is described. Next, key points in schemes are listed including halftone and progressive algorithms. At last examples are listed to show the whole procedure.

Keywords-Visual cryptography; copyright protect; multiparty


Optimizing PAPR by Linear Programming in Wavelet Packet Modulation

Liu Miao

Institute of Communication and Engineering, Jilin

University

Changchun, China

e-mail: lm_jlu@sohu.com

Wang Ke

Institute of Communication and Engineering, Jilin

University

Changchun, China

e-mail: wk_quebec@yahoo.ca

He Yan

Institute of Communication and Engineering, Jilin

University

Changchun, China

Xiangling Li

Institute of Communication and Engineering, Jilin

University

Changchun, China


Abstract—High peak-to-average power ratio (PAPR) of the transmit signal is a major drawback of wavelet packet modulation (WPM). The article presents a new method to reduce PAPR by Linear Programming (LP) to select the optimal wavelet packet basis. Numerical and simulation results show the signal modulated by the selected wavelet packet basis has the optimal PAPR values with given wavelet packet tree space. In addition, this method has more efficiency without any degradation in bit error rate (BER) performance for the same bandwidth occupancy.


Keywords- WPM, Optimal wavelet packet basis, PAPR, LP


A technique of improved steganography text based on chaos and BPCS


Peipei Shi

Nankai University, College of Information

Technical Science

Tianjin, China

shipei@mail.nankai.edu.cn

Zhaohui Li

Nankai University, College of Information

Technical Science

Tianjin, China

lizhaohui@nankai.edu.cn

Tao Zhang

Nankai University, College of Information

Technical Science

Tianjin, China

zhangtaonk@mail.nankai.edu.cn


Abstract—Steganography is an important issue in the filed of information safety. This paper concretely designs and carries out a steganography of the text secret information. The introduction of chaos theory conveniences to the test of steganography characteristics and enhance the safe of steganography. Adopting an improvement type BPCS steganography, this scheme can resist the analysis of the steganalysis. Results show that the design of the paper has certain of application value.

Keywords-chaos; carrier image; steganography; bit-plane blocks; threshold value


Statistical Analysis Against improved BPCS Steganography


Tao Zhang

Nankai University, College of Information

Technical Science

Tianjin, China

zhangtaonk@mail.nankai.edu.cn

Zhaohui Li

Nankai University, College of Information

Technical Science

Tianjin, China

lizhaohui@nankai.edu.cn

Peipei Shi

Nankai University, College of Information

Technical Science

Tianjin, China

shipei@mail.nankai.edu.cn


Abstract—The improved bit-plane complexity segmentation (BPCS) steganography carries on different processings to different bit-planes, with setting high threshold value at the high bit-plane and low threshold value at the low. Not only provides good visual imperceptibility and data embedding capacity, this scheme also is capable of resisting the analysis of the whole complexity histogram. However, it still exists safe loophole. Experimental results show that, the partial statistical analysis the paper mentioned can analysis the existence of secret information; furthermore, it can estimate the embedding threshold value accurately.

Keywords- information hiding; steganalysis; bit-plane blocks; threshold value


An Improved Method for Segmentation of Touching Symbols in Printed Mathematical Expressions

Dong-Yu Zhang1, 2, Xue-Dong Tian1, 2, and Xin-Fu Li1, 2

1 College of Mathematics and Computer Science

2 Hebei Key Laboratory of Machine Learning and Computational Intelligence

Hehei University

Baoding, China

xtaifghy@163.com


Abstract-The segmentation of touching symbols is one of the key factors which affect the performance of printed mathematical expression recognition system. An Improved method for segmentation of touching symbols in printed mathematical expressions is presented. This method is suitable for different types of touching symbols. Firstly, the outer contour of the symbol image is extracted based on contour tracing algorithm. Next, the concave corner points are detected by corner detection algorithm. These concave corner points are considered as the candidate segmentation points. Finally segmentation paths are constructed to achieve the segmentation of the touching symbol.

Keywords-OCR; Mathematical expression recognition; Symbol segmentation; Touching symbol segmentation


Robust Kernel PLS Based Soft Sensing for Component Concentrations in Sodium Aluminate Solution

Wei Wang1

1. Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University

Shenyang 110819, Liaoning Province,China

e-mail: ww_wangwei@163.com

Lijie Zhao1,2, Tianyou Chai1

2. Information Engineering School, Shenyang Institute of Chemical Technology

Shenyang 110142, Liaoning Province,China

e-mail: zlj_lunlun@163.com


Abstract- The component concentrations in sodium aluminate solution are very important in the process of alumina production, they represents the product quality. At present they can not be measured online, so the optimal operation is hardly to be achieved. To deal with this problem and based on the character of process industry data, we propose a RKPLS (Robust Kernel Partial Least Squares) soft sensing method by combining robust algorithm and kernel transformation to predict the component concentrations in sodium aluminate solution. Industry experiments are conducted in the alumina production process and the results show the effectiveness of this method.

Keywords- sodium aluminate solution; soft-sensing; robust PLS; kernel PLS


Design and implement of management clustering primitives based on satellite networks


ZHANG Wenbo

School of Information Science and Engineering

ShenYang Ligong University

Shenyang, P.R.China

zhangwenbo@yeah.net

SUN Peigen

School of Information Science and Engineering

ShenYang Ligong University

Shenyang, P.R.China

sunpeigen@sina.com

XU Haifeng

School of Information Science and Engineering

ShenYang Ligong University

Shenyang, P.R.China

fengkar@live.cn

DONG Qian

School of Information Science and Engineering

ShenYang Ligong University

Shenyang, P.R.China

jessezwb@163.com


Abstract—According to the dynamic changes of the satellite network topology, the limited ability and the high-speed movement of the satellite node, a new clustering algorithm was proposed in order to reduce the time delays and communication traffic between the management station on the ground and the agent on the satellite node. Based on this, the primitives for clustering was designed and implemented. The primitives was accorded with ASN.1. It could be concluded from the experiment results that the implement of these communication primitives could effectively support the establishment of satellite network management clusters.

Keywords-Satellite networks; network management; management cluster; clustering primitive


PET/CT Medical Image Fusion Algorithm Based on Multiwavelet Transform

Yuhui Liu

The Research of

Northeastern University

Shenyang, China

e-mail: liuyh@neusoft.com


Jinzhu Yang

Key Laboratory of Medical Image Computing of Ministry of Education

Northeast University

Sheyang, China

e-mail:yangjinzhu@neusoft.com


Jinshan Sun

College of Information Science and Engineering

Northeastern University

Shenyang, China

e-mail: sunjinshan@neusoft.com

Abstract—PET/CT medical image fusion has important clinical significance. As the multiwavelet transform has several particular advantages in comparison with scalar wavelets on image processing, this paper proposes a medical image fusion algorithm based on multiwavelet transform after in-depth study of wavelet theory. The algorithm achieves PET/CT fusion with wavelet coefficients fusion method. Experimental results show that fusion image combines information of the source images, adds more details and texture information, and achieves a good fusion result. Based on the proposed algorithm, we can obtain the best result when using gradient fusion in the low-frequency part and classification fusion in the high-frequency part.

Keywords-PET/CT; image fusion; multiwavelet transform


A Development of Nonlinear Transparency Display Algorithm


Liu Yuhui, Yang Jinzhu, Han Fangfang, Zhao Dazhe

Key Laboratory of Medical Image Computing of Ministry of Education

Northeast University

Sheyang, China

e-mail: liuyh@neusoft.com, yangjinzhu@neusoft.com


Abstract—This paper introduces the simple liner transparent model and nonlinear transparency model which based on Z component. It analyses the disadvantage which existed in the Z component and brings forward an algorithm of nonlinear transparent display model which based on bounding box. The experiment shows that we can conquer the shortcoming which generated by nonlinear transparent model that based on Z component. This algorithm resolves the problem, which brings great variety on the grads and the edge of the contour becomes too bright, during the object’s displaying. Then we can gain better 3D transparency display effect.

Keywords-transparent display; bounding box; 3D Reconstruction; medical image


Active Transit Signal Priority considering Overlapping

Phase in Artery progression

Li Feng

traffic information management center

Transport Management Institute Ministry of Transport of the People's Republic of China

Beijing, China

lifengface@sohu.com

Wang Jian

Information Technology Research Center

China Academy of Transportation Sciences

Beijing, China

wangjian115@163.com

Abstract—Current active transit signal priority (TSP) methods are based on real-time detection of information, often with the green extension and early green to make bus pass through the intersection as soon as possible. In this paper, according to domestic environment, applying active transit signal priority in artery coordination system, using related transit priority principle and parameter, can not only guarantee to execute transit priority, but also make the impact of transit signal priority on coordination system minimum. Moreover, the active transit signal priority in artery coordination system should consider the intersection with irregular phase, such as overlapping phase to ensure traffic flow smoothly proceed. So this paper provides active transit signal priority considering overlapping phase in artery progression (TSPOP), and this new green decision model including green of overlapping phase, green of priority transit phase considers green of overlapping phase in early green strategy can keep the same and in green extension strategy can change as flow needs and transit priority request. Finally based on effect of the green extension and early green on general traffic and bus traffic by simulation analysis, using delay of the intersection, this thesis shows the result: TSPOP can reduce bus delay to transit priority and better than transit signal priority without considering overlapping phase in the degree of transit priority, and also can keep the delay of intersection little increase. Therefore, TSPOP in artery progression is effective, which can provide a theoretical foundation and application experience in practice.

Keywords-transit signal priority; overlapping phase; artery progression; vehicle delay


Study on the Modeling and Information Enhancing Technology Applied to Fault Diagnosis of Armored Vehicle Gearbox


Zhuting Yao

College of Mechanical Engineering and Automatization

North University of China

030051 Taiyuan, Shanxi, China

ztyao713@163.com

Hongxia Pan

College of Mechanical Engineering and Automatization

North University of China

030051 Taiyuan, Shanxi, China

Panhx1015@163.com


Abstract—The authors set forth a modeling and fault information enhancing method based on fault diagnosis of armored gearbox. Based on introducing the necessary on fault diagnosis and prediction of the armored vehicles gearbox, the modeling and identification of armored vehicles gearbox is completed by using the forward householder real (FHR) algorithm. The concrete modeling process includes the test and pre-measured data, the model choice, model parameter estimation, the model fitness test and so on. On this basis, the paper proposes a transmission system fault diagnosis based on the fault information enhancement. The method utilizes time-domain averaging technique to complete the extraction of periodic signals, through signal interpolation processing, demodulation analysis and re-sampled time-domain average, to complete the shaft frequency signal and mesh-frequency signal extraction, to obtain axis frequency and mesh frequency signals by conducting demodulation analysis, re-sample and time-domain average. In the process of studying characteristics of fault signals, fault information enhancing technology is employed. The result is proved to be right and effective through the fault signal characteristics research methods proposed to enhance fault information, results show that the fault information and did not use enhancement compared to not only improve the signal to noise ratio, but also greatly improved the fault information.

Keywords Modeling; time series analysis; FHR; information enhancing technology


The Design and Implementation of Time Synchronization for CNC Systems

Based on Switched Ethernet


Haibo Yang, Hu Lin, Yaodong Tao, Jin Li

The National Engineering Research Centre for High-end CNC of China, Shenyang Institute of Computing Technology, CAS

College of Computing & Communication Engineering, Graduate University of the CAS

Shenyang, China

E-mail: yanghaibo@sict.ac.cn


Abstract—It requires accurate synchronization among the MCU, servo controllers and sensors in CNC systems for time stamping of data and motion control. This paper presents the design and implementation of time synchronization for CNC systems which employ switched Ethernet as its communication module. The method adopts the clock of switches as the master clock instead of that of MCU which usual is. To obtain accurate time synchronization, it uses a low-level time-stamping scheme and blocks the time synchronization frames until the actual time is equal to the time in the payload of the frames. A preemptive mechanism is introduced to make sure the time synchronization frames can be transmitted immediately when the actual time is equal to that. Finally, experimental results are shown and discussed.

Index Terms—CNC Systems; Switched Ethernet; Preemptive Queues; Time Synchronization


A Hybrid Feature Selection Method for Data Sets of thousands of Variables


Jihong Liu

College of Information Science and Engineering

Northeastern University

Shenyang, China

e-mail: liujihong@ise.neu.edu.cn

Guoxiong Wang

Political Department

Liaoning Military Region

Shenyang, China

e-mail: herowang.neu@gmail.com


Abstract—Feature selection has become the focus of research areas of applications with datasets of thousands of variables. In this study we present a hybrid feature selection (HFS) method that adopts both filter and wrapper models of feature subset selection. In the first stage of the feature selection, we use the filter model to rank the features by the mutual information (MI) between each feature and each class, and then choose k highest relevant features to the classes. In the second stage, we complete a wrapper model based feature selection algorithm, which uses Shepley value to evaluate the contribution of features to the classification task in a feature subset. Experimental results show obviously that the HFS method obtains better classification performance than solo Shepley value based or solo MI based feature selection method.

Keywords- feature selection; Shepley value; mutual information


Intelligent Control Research based on the Smart Car

LU Zhenlin

College of Information Science and Engineering,

Northeastern University,

Shenyang, China

e-mail: lzl_jb228@sina.com.cn

LI Jingjiao

College of Information Science and Engineering,

Northeastern University,

Shenyang, China

e-mail: lijingjiao@ise.neu.edu.cn


Zhang Minghui

College of Information Science and Engineering,

Northeastern University,

Shenyang, China

e-mail: vipZmh@gmail.com


Abstract: This paper uses a “smart car” as the platform for intelligent control research. MC9S12DG128 is chosen to be the main control unit, which is produced by Freescale Semiconductor. A smallest intelligent control system is designed in this paper and it implements smart car’s self-tracking driving using path identification algorithm. In this paper, the intelligent control study of the smart car includes: the extraction of path information, self-tracking algorithm implementation and direction and speed control. The implementation of different modules of this system is introduced respectively. The highlight is the process of smart car intelligent control: the open-loop control and closed-loop control applications including incremental PID control algorithm and BangBang control algorithms. At last but not the least, the smart based on intelligent control system has been tested.

Key words: MC9S12DG128;Intelligent Control;Open-loop control;PID;BangBang


Quantitative Analysis of Impact of External Cost on Urban Passenger Transport Structure


Li Zhibin,

Transportation School

Southeast University

Nanjing, China

lizhibin@seu.edu.cn


Wang Wei,

Transportation School

Southeast University

Nanjing, China

wangwei@seu.edu.cn


Hua Xuedong,

Transportation School

Southeast University

Nanjing, China

qdurgk@163.com


Yang Chen,

Transportation School

Southeast University

Nanjing, China

yang0403@gmail.com


Zou Yaotian

Transportation School

Southeast University

Nanjing, China

zouyaotian@yahoo.com.cn


Abstract—When making trip mode choice, travelers often take account of personal private cost such as travel time and money spent, while no considering external cost consisted of congestion effect or pollutions of air and noise. There is a big difference between the external cost of different travel modes in urban passenger transport, and the neglect of the external cost is to blame for mode imbalance in Chinese urban passenger transport system. Expounding the connotative meaning of urban passenger transport external cost, the effect of internalization of external cost on urban passenger transport is analyzed. Based on the principle of disaggregate model of personal trip mode choice, a modified Logit Model is established and the methods are given to quantitatively calculate the effect of internalization of external cost. In the end, a numerical example is given and discussed. The result shows that the internalization of external cost can result in different proportions of vehicle and bicycle travelers turning to choose public transit.

Keywords-external cost; private cost; urban transport structure; quantitative analysis; Logit model


The Modeling Tool of SaaS Software

Yang Wang1, Bin Zhang1, Ying Liu2, Deshuai Wang1

1College of Information Science and Engineering, 2 Software College

Northeastern University, NEU

Shenyang, China

e-mail: chinaliao.wangyang@163.com


Abstract—In the SaaS application, users can order corresponding software services from the service provider according to their application needs and adjust their services content in use based on the changes of the enterprise development, with strong elasticity and expansibility. However, despite of so advanced concept of SaaS, there are still some problems in the SaaS field constraining the wider use of SaaS. At present the composing model of SaaS, the development method and the problem solving are all taken into account in some of the theories and applications, but no one discusses the description of the SaaS model. As we all know, the model is also the key to the construction of SaaS software development platform. The traditional modeling method based on the workflow asks for understanding the operation processes of all aspects of business for modelling personnel and needs the support of professional knowledge on updating and maintenance of business processes. How to adopt a common way to describe it and make it User-friendly search is a serious problem to be solved. Therefore, we propose SaaS service model based on extended WSCL, and implement the modeling tool of SaaS service model. This paper aims to develop a modeling tool to allow the modelling personnel to complete the modeling process through understanding the business, and the system can automatically convert the state diagram corresponding to the process into WSCL documents. The SaaS service modeling tools can help developers easily model for the SaaS service, which makes the modelling process more formalized and visualized, and then make it easy to communicate with users.

Keywords- SaaS; multi-tenancy; WSCL; modeling tool


An Efficient Improved Group Key Agreement Protocol Based on Diffie-Hellman Key Exchange

YANG Guang-ming, CHEN Jin-ming, LU Ya-feng

Department of Information Security, Software School

Northeastern University

Shenyang 110819, R. P. China

e-mail: ygm5@hotmail.com


MA Da-ming

Dalian’s Net Management Center of Shenyang Branch

The Electron Devices and System Engineering Company of China

Dalian 116021, R.P. China

e-mail: madaming@sina.com


Abstract—Traditional group key generating methods using binary-tree performs efficiently when adding or deleting nodes dynamically. However, when dealing with paroxysmal needs for group key among multi-nodes in the Internet, their time complexity grows to O(Nlog2N). We propose an improved group key agreement protocol based on Diffie-Hellman key exchange, which can reduce the time complexity of this situation to O(N). It can largely reduce overlapping computation and data packages’ sending times, and meanwhile, it remains binary-tree in each node, enabling it efficiently to support dynamically adding and deleting nodes as well. And then the security of this method is been analyzed and a basic idea for preventing MITM attacks is been presented.

Keywords:Group key; Diffie-Hellman key exchange;Group Cmmunication


Dynamic Memory Management in Digital TV Set-Top Box Based On μC/OS-Ⅱ


Nanjing DING, Sujuan LIU, Yue YANG, Jianxin CHEN

Dept. of Electronic Information and Control Engineering, Beijing University of Technology

Beijing 100124, P. R. China

dnj129@hotmail.com


Abstract—The memory management is one of the most central tasks in embedded operating system. This paper introduces one useful method of dynamic memory management in embedded system based on μC/OS-II. Compared with μC/OS-II’s own memory management, the new method is simpler, more stable and lower costs. As demonstrated on searching TV programs in DTV STB, this new dynamic memory management works well and the embedded system can be in a high efficient and more stable operation.

Keywords-embedded system; memory management; dynamic allocating; μC/OS-II


An Improved Energy-efficient Algorithm based on L-DCHS in WSN


Linping Wang,Wu Bi,Tingwen Lu,Chi Zhang

Department of Computer Science, Center China Normal University

Wuhan 430079, China

billqt0101@yahoo.com.cn


Abstract—A wireless sensor network (WSN) consists of hundreds or thousands of energy-limited sensors. Distributing energy dissipation evenly throughout the sensors and saving energy are important goals in designing of WSN protocol. In this paper, we propose an improved energy-efficient algorithm based on L-DCHS (IEAL), it adds a cluster head in each cluster with a novel method, and prolong the steady-state phase time. Additionally, we redefine the candidate set in each round. Simulations show that IEAL can achieve a longer system lifetime and save energy dissipation.

Keywords:WSN;L-DCHS; double cluster heads;energy-efficient.


Measurement of Amplitude Ratio and Phase Difference in the Ultra-Wideband Microwave Receiving System


Hui XU and Hongzhuan FENG

School of Information Science & Engineering,

Shenyang University of Technology,

Shenyang 110870, P. R. China

xhimage@163.com


Abstract—To obtain the system information of Ultra-Wideband microwave receiving system, accurate measurement of amplitude change and phase change of antenna received signal and antenna transmit signal has a very important practical significance. In this paper, the ADI's single-chip silicon bipolar devices RF/IF gain and phase detector AD8302 is used as a core components in a wideband amplitude ratio and phase difference measurement system which can work from low frequency to 2.7GHz. The measurement system is composed of three parts; they are RF power attenuator, dual operational amplifier TLC2202, and detector AD8302. Experiment results show that the output voltage VMAG of AD8302 has a linear relationship with the two input signal amplitude ratio, and the VPHS of AD8302 will change with input phase difference change. It meets the requirement of measurement of phase difference and amplitude ratio in the Ultra-Wideband microwave receiver system.

Keywords: Ultra-Wideband; Microwave Receiver System; Measurement; Amplitude Ratio; Phase Difference


Simulation Research on High-frequency Electromagnetic Plane Wave’s

Energy Distribution in Dielectric

Hui XU and Yuqiu CHEN

School of Information Science & Engineering,

Shenyang University of Technology,

Shenyang 110870, P. R. China

xhimage@163.com


Abstract—The propagation of high-frequency electromagnetic plane wave in the dielectric is complex, and the energy distribution is uneven after scattering. Aimed at these problems, the propagation of high-frequency electromagnetic plane wave (microwave) in dielectric is researched in this paper by finite element software ANSYS. The electromagnetic scattering results are obtained by establishing and solving three models of concrete, steel bar - concrete and steel bar - air. There is a phenomenon that the energy in dielectric has concentrative energy band structure. The steel bar will scatter fiercely if it is placed in the region of energy band in dielectric. Several examples are shown in the paper, and the steps and the issues which should be paid attention to in three-dimension high-frequency simulation are introduced in detail. The results and data of the experiment establish foundation for detecting metal in dielectric by microwave.

Keywords- high-frequency electromagnetic field; simulation; dielectric; metal; energy band


A Platform of Software Network Measurement Design and Implement


LI Peng1, ZHAO Hai1, QIAO Ye2, LIU Zheng1, LI Hui1 and LI Bo1

1 School of Information Science & Engineering

Northeastern University

Shenyang , China

e-mail: ilpeng@126.com

2 China Petroleum Gaspipeline Telecommunication & Electricity Engineering Co.

Langfang , China


Abstract—Based on the principle of complex systems and software network design and implement a software network measurement platform, which based on the static structure of network. The software network measurement platform can calculate and analyz static macro topology characteristic value and metrics, finally through with commercial software Pajek contrast test and verify the correctness of the platform of network software metric, and the calculation results of platform software metric precision than Pajek, software for further analysis and lay the good foundation.

Keywords- Software network; Complex network; measurement; characteristic value


Controll Algorithm of Combination with logic gate and PID control

for vehicle electronic stability control


JIN Li-qiang

State key laboratory of automotive simulation, Jilin University

Chanchun, China

e-mail: jinlq@jlu.edu.cn

SONG Chuan-xue

State key laboratory of automotive simulation, Jilin University

Chanchun, China

e-mail: Songchx@126.com

LI Jian-hua

Automotive College, Jilin University

Chanchun, China

e-mail: jinlq@jlu.edu.cn


ABSTRACT:the electronic stability control system is one of most advanced active safety technology for modern vehicles. It enhances vehicle active safety effectively. The control algorithm of combination with logic gate and PID control is brought out. The PID parameters are produced by logic gate control and the wheel brake torque to keep vehicle stabilization is outputted by PID method. The method possess of the merit of decreasing computation process and increasing computation speed. Simulation results show that the proposed control algorithm can be used to control the vehicle more stably under various conditions.

Keywords: vehicle, electronic stability control, control algorithm


The control strategy and cost analysis for Series Plug-in hybrid electric vehicle


Li-qiang JIN, ,

State Key Laboratory of Automobile Dynamical Simulation)

e-mail: jinlq@jlu.edu.cn


Xia-hua Zeng

State Key Laboratory of Automobile Dynamical Simulation)

e-mail:xiaohua.zeng@126.com


Wei WANG

State Key Laboratory of Automobile Dynamical Simulation)

e-mail: jinlq@jlu.edu.cn


Abstract:This paper introduced the character and focused control strategy for Plug-in hybrid electric vehicle. According to all electric range control strategy, a model of series Plug-in hybrid electric vehicle was built, which was used for simulation and study. The energy consumption and cost were compared to tradition series hybrid electric vehicle .The result indicated that purchase cost and fuel dependence of vehicle can be reduced mostly for Plug-in hybrid electric vehicle.

Key words:Plug-In control strategy Hybrid electric vehicle All electric range Fuel Substituting


Study of Delay-Delay Rate 2-D Correlation in Satellite Observation of VLBI

Guo Shi-jian, Li Po, Xin Yu-lin, Chen Zeng-ping

ATR key Lab, National Univ. of Defense Technology

Changsha, Hunan, 410073,China

sjguo@nudt.edu.cn


Abstract—Due to the self rotation and revolution of the earth and the satellite moving comparatively, the delay rate changes intricately and that affects correlation result when we use VLBI to detect Satellite. To solve the problem, a new method of delay-delay rate 2-D correlation is proposed which based on time-frequency 2-D correlation. This method applies ambiguity function calculation of time-frequency analysis theory to VLBI. The result of Doppler shift equal to the product of delay rate and the frequency of satellite transmitted was proved in this article, so the method of delay-delay rate 2-D correlation is put forward refer to the theory of time-frequency 2-D correlation, and this method can get the value of target’s delay and delay rate by peak value search after ambiguity function calculation of two stations’ received signal. Simulation results have indicated that this method can detect value of the delay and the delay rate at the same time, and it’s useful for VLBI to detect Satellite.

Keywords- VLBI; doppler shift; ambiguity function; delay-delay rate 2-D correlation


Dynamic Support Vector Machine by Distributing Kernel Function


SHI Guangzhi, DA Lianglong, HU Junchuan and ZHOU Yanxia

Navy Submarine Academy

Qingdao, China

e-mail: shicangjie@sohu.com


Abstract—A dynamic support vector machine by distributing kernel function is put forward by integrating the target feature with the SVM. It distributes different Gauss kernel function to each training sample by using the distance between the target feature and each training sample. It is trained after the dynamic set is reconstructed according to the distance between the target feature and each training sample. Experiment results show that it is more robust than the traditional SVM.

Keywords- support vector machine (SVM); dynamic support vector machine; Gauss kernel function; target recognition


Determination Method of Regional Development Axis Based on GIS & Improved AHP with Example of Shandong Province


SHAN Bao-yan

School of Civil Engineering

Shandong Jianzhu University

Jinan, China

shan7066@163.com

ZHOU Ying

School of Civil Engineering

Shandong Jianzhu University

Jinan, China

dotz@163.com

WANG Li-e

School of Foreign Languages

Shandong Jianzhu University

Jinan, China

wang8631@163.com


Abstract—Taking Shandong province as an example, the paper put forward the determination method of regional development axis and their importance and levels based on pole-axis theory. Firstly, the writers selected four regional development axes according to the conditions of choosing regional development axis, and then analyzed the ranges of the 4 axes and the cities and towns in the ranges with the method of buffer analysis of GIS. Secondly, the writers calculated the importance of the four axes with the method of AHP, which had been improved by the principle component method. Finally, according the result of AHP, the four axes were classified into two types called the first and the second class development axis with the method of self-organizing competitive neural network. From above, we know that the importance and levels of regional development axis can be determined by the methods of buffer analysis of GIS, AHP and cluster analysis.


Keywords-GIS; AHP; development axis; Artificial Neural Netwroks


An Expert System for Comprehensive Diagnosis in Store Management System

Jing Xianyong, Liu Zhanchen, Xie Zenghui

Department of Aerial Weapon

Airforce Engineer University Engineering College

Xi’an, China

Email: xianyong1983@yahoo.com.cn

Li Yingchun

The 4th Engineer Design Academe of

General Staff Office

Beijing, China

E-mail: liyingchun@163.com


Abstract—Aiming at the condition that the fault mechanism of a store management system is complicated and it is difficult for diagnosis, an expert system for the equipment based on both neural networks and generate rules is discussed. At first, expert experience including fault phenomenons and reasons are summarized. Considering that expert knowledge is miscellaneous and is contact with too many parts, a new coding strategy is proposed by adopting Classification processing methods. NN is the primary tool of establishing Inference model and generate rules are mainly used for assistance, fault diagnosis algorithm of the expert system is designed. Then the expert system is realized based on Matlab Guide tool, results of the simulation proved the methods effective.

Keywords-fault diagnosis; Store Management System(SMS); expert system; Neural Network(NN);rule


Modeling and Prediction of Ionospheric Total Electron Content

by Time Series Analysis


Xiuhai LI1,Dazhi GUO1

1 School of Safety and Resource Engineering

China University of Mining & Technology (Beijing)

Beijing, China

e-mail: LXHLLG@126.com

Xiuhai LI2

2 Department of Surveying and Mapping

Heilongjiang Institute of Engineering and Technology

Harbin, China

e-mail: LXHLLG@126.com


Abstract—Precise modeling and accurate prediction for the ionospheric total electron content(TEC) are crucial and remain as a challenge for GPS positioning and navigation , space weather forecast, as well as many other Earth Observation System(EOS). This research develops and analyzes a new prediction technique for the regional ionospheric TEC, based on time series analysis theory using autoregressive model (AR) to perform short-term ionospheric TEC prediction. The predicted TEC were then compared with the TEC measured by IGS, and with TEC from the International Reference Ionosphere(IRI) to assess the performance of the model. Preliminary results show that AR model could well describe the variation trend of the regional ionospheric TEC and has a good short-term performance of the ionospheric TEC prediction. The forecasting methodology based on the time series for the regional ionospheric TEC prediction is feasible

Keywords- Total electron content(TEC); Time Series Analysis;AR model;prediction of TEC; International Reference Ionosphere(IRI)


Algorithm with database technology for Computing the Core Based on Skowron’s Discernibility Matrix


Guiying Wei

School of Economics and Management

University of Science and Technology Beijing

Beijing, China

weigy@manage.ustb.edu.cn


Abstract—Designing efficient algorithm for computing the core of decision table is a very meaningful work because the core is the foundation of constructing attribute reduction of the decision table and multi-variable decision tree. To improve the efficiency of the algorithm for computing the core based on Skowron’s discernibility matrix with database technology, the new simplified decision table of the old decision table is defined. And it is proved that the core of the new simplified decision table based on positive region is the same as the core of the old one based on Skowron’s discernibility matrix. Then an efficient algorithm is proposed for computing the new simplicity decision table. On this condition, an efficient algorithm for computing the core based on Skowron’s disceribility matrix by using database technology is designed. At the end, an example is used to illustrate the efficiency of the new algorithm. (Abstract)

Keywords-discernibility matrix; database; simplified decision table; complexity; core ( key words )


Simulation and Analysis of Effect on Urban Operation of Urban Storm Water Logging


Zheng Jianchun

Institute of Digital China,Peking University

Beijing Research Center of Urban Systems Engineering

Beijing, China

e-mail: zheng_jianchun@sina.com


Abstract—Great effect on urban climate, hydrological condition, surface condition and urban operation caused by urbanization process, even substantial changes have been taken place, includes heat island effect, decrease of green cover percentage, urban storm water logging, increase of accidents of urban lifeline systems, and so on. At the same time, urban storm water logging brought great negative effect on urban operation and security. The processes of water logging and drainage have been simulated by different software in order to contrast the accuracy of calculation. Different initial parameters, such as parameters of rainfall, hydrographic condition, ecological environment, topographic factor, geological conditions of the city, have played a decisive role in the results of simulation. Influencing factors and formation mechanisms of urban storm water logging, especially the effect on urban lifeline systems, have been analyzed through the simulation. According to the results of simulation, quantified solutions on urban emergency response, optimization of drainage system and improvement of urban planning have been suggested.

Keywords- urban storm water logging, simulation, urban operation, lifeline system


Fast Pedestrian Detection Based on

Adaboost and Probability Template Matching


Zhihui Hao, Bo Wang and Juyuan Teng

School of Automation

Beijing Institute of Technology

Beijing, China

E-mail: hzhbit@gmail.com


Abstract—In this paper, we propose a real time pedestrian detection approach which consists of two levels: coarse detection and further validation. First, partial stages of cascaded Adaboost classifiers are adopted to detect the upper bodies and generate candidate regions with a high detection rate. In the second level, a probability template is proposed, based on which a template matching technique is used to further reject the negative candidates. All the parameters involved are learnt from the training samples automatically. Our experimental results verify that the proposed approach improves detection performance substantially, while maintaining a fast processing speed.

Keywords-pedestrian detection; Adaboost; probability tem-plate matching


Application of the EEMD Method to Multiple Faults Diagnosis of Gearbox

Jinshan Lin, Qian Chen

Institute of Vibration Engineering

Nanjing University of Aeronautics and Astronautics, NUAA

Nanjing, P.R. China

e-mail: jslinmec@yahoo.cn


Abstract—Empirical mode decomposition (EMD) is a powerful tool for the non-stationary and nonlinear signal analysis and has attracted considerable attention recently. However, one of primary problems existing in the EMD is the mode mixing, which makes the physical meaning of decomposition results obscure. The ensemble EMD (EEMD) is presented to alleviate the shortcoming. The EEMD is a noise-added method and can extract the components with truly physical meaning from the signal. Firstly, a simulation signal is used to test the performance of the EEMD; compared with the EMD, the EEMD illustrates the superiority over the EMD. Then, the fault diagnosis method based on the EEMD is applied to diagnose the faults of the gearbox with multiple faults and successfully extracts the multiple faults information from the collected signal. The results show that the fault diagnosis method based on the EEMD is a promising method for the fault diagnosis of gearboxes.

Keywords-EMD;EEMD; gearbox; fault diagnosis


Fault Identification of Offshore Platform Based on the EEMD Method


Jinshan Lin, Chunhong Dou

School of Mechanical and Electronic Engineering

Weifang University

Weifang, P.R. China

e-mail: jslinmec@yahoo.cn

Rujian Ma

School of Control Science and Engineering

University of Jinan

Jinan, P.R. China

e-mail: rjma@ujn.edu.cn


Abstract—Conventional techniques are unfit for processing the non-stationary and nonlinear signal, whereas the empirical mode decomposition (EMD) is a powerful tool for the non-stationary and nonlinear signal analysis and has aroused wide concern recently. However, one principal shortcoming occurring in the EMD is the mode mixing, which makes the physical meaning of the decomposition results obscure. The ensemble empirical mode decomposition (EEMD) is proposed to improve the decomposition results from the EMD method. Firstly, a simulation signal is employed to test the performance of the EEMD method, which demonstrates the superiority over the EMD method. Next, the EEMD method is applied to analyze the signal captured from the deck of the WZ12-1 platform and successfully reveals the reason causing the excessive vibration of the WZ12-1 platform. The results indicate that the EEMD is a hopeful method for the fault identification of the offshore platform.

Keywords-Offshore platform; EEMD; Hilbert spectrum; fault identification


Fusion of Remote Sensing Data of the ChangBai Mountain Area Based on the Principal Component and Wavelet Transformation

Feng Zhu, ZhiMingLiu*

Urban and Environmental Science Institute of Northeast Normal University

Chang Chun, China

E-mail: zhuf809@nenu.edu.cn

E-mail: liuzm@nenu.edu.cn


Abstract—The resource of remote sensing data is rich, their formats and resolution are very different, it is necessary to take some approach to fuse the data. The technique of Principal Components Transform fuses data by replacing the first principal component with the high resolution image after the principal component analysis of multi-spectrum image and then carry on the Principal Components Inverse Transformation to obtain the fusion image; The Wavelet Transformation chooses high- frequency and low-frequency to carry on inverse transformation after decomposing the panchromatic image and multi-spectra image with some wavelet. In this paper, unify the 2 ways to fuse data, the first step is to get the principal components of the IKONOS’s multi-spectral image of ChingBai Mountain Area , By the way of Wavelet Decomposition, it is easy to get the high-frequency and low-frequency of the principal components and by taking the method of Wavelet Reconstruction, it is useful to reconstruct the principal components with high-frequency of the panchromatic image of IKONOS and the low-frequency of Multi-spectral image; Then obtain the final fusion image by taking the method of Principal Component Inverse Transform; Combining with the way of visual interpretation and the rule of information entropy and spectral correlation coefficient, we get a good result, the amount of fusion image’s information is 7.4875, and the correlation coefficient is 0.8619. Compared to a single method, the spectral information and resolution have been improved; the result shows that, the method of combining with Wavelet Transform and Principal Component Transform merge their own advantages and make up the disadvantages, the fusion image not only improves the spatial resolution of the original image, but also retains the relatively high spectral resolution, it will be propitious to the further extraction and processing of the remote sensing data.

Keywords- Image Fusion; ChingBai Mountain; IKONOS; PrincipalComponentsTransformation;Wavelet ransformation; Fusion Appraisal


Edge Detection and Target Recognition from Complex Background


GE Xing-wei

School of Mechanical and Electronic Engineering Hebei University of Science and Technology,

Shijiazhuang, China

gexingwei@163.com


CUI Yan-ping

School of Mechanical and Electronic Engineering Hebei University of Science and Technology,

Shijiazhuang, China

cuiypkd@163.com

Abstract—Based on the analysis of traditional edge detection operator of mathematical morphology, a multi-structuring elements edge detection operator of mathematical morphology is proposed. According to the geometric feature of targets, the multi-structuring elements are selected to match image details, which could suppress noise as much as possible while preserving fine details. Threshold acquired by weighted average of gray levels is used to binarize the image, which has a better effect for improving image edge. Several expressions about shape are analyzed in the paper. According to the character of target, the characters of edge pixels, complexity and aspect ratio of minimum enclosing rectangle are obtained. The overall fuzzy evaluating technique is studied, and three types targets are recognize by overall fuzzy evaluating technique through calculating the character evaluating function and membership degree function, and the target needed to be analyzed was recognized in the complex background. Both theoretical and experimental researches are taken in the paper. The results of simulation experiments demonstrate that the proposed method could suppress noise effectively and extract target edge from complex background efficiently, and the target in complex background could be detected reliably by overall fuzzy evaluating technique.

Keywords-mathematical morphology; multi-structuring elements; edge detection; target recognition; complex background


Measuring approach of flying target landing

parameters based on binocular vision


CUI Yan-ping

School of Mechanical and Electronic Engineering Hebei University of Science and Technology,

Shijiazhuang, China

cuiypkd@163.com

GE Xing-wei

School of Mechanical and Electronic Engineering Hebei University of Science and Technology,

Shijiazhuang, China

gexingwei@163.com


Abstract—The landing pose of flying target is the important index to assess the performance of flying target. A binocular intersection measuring system is set up to detect the landing pose of flying target by high-speed photograph. Based on the characteristic of rotary objects, Different method is proposed to measure the pose according to the size of images in the camera planes. Experiments and theoretical analysis prove the correctness and reliability of the proposed measuring method, and the pose angle measuring error of big targets and transition targets is less than 1º. A new and reliable approach to measure the dynamic parameter of flying target is provided.

Keywords-binocular vision; pose measurement; flying target; rotary object


Feature Matching and Result Feedback in Radar and Infrared Fusion

Xin Yu-lin, Xu Shi-You Du Lin-lin, Chen Zeng-ping

ATR Key Lab.

National Univ. of Defense Technology

ChangSha, HuNan, 410073, P.R.China

nudtxinyulin@sohu.com


Abstract—Based on difference of target azimuth sensitivity between radar feature and infrared(IR) feature, this paper presents a new algorithm for fusion recognition. By estimating the target azimuth through the infrared feature matching, the search domain of radar feature base and calculation of feature training are reduced. Through introducing a new conflict ratio of fusion, recognize feedback is used to avoid mistake. The results have shown the availability of this method through simulated the algorithm.

Keywords-target recognition, azimuth, feature matching


A Novel Algorithm of Synthesizing 1/f-type Fractal Signal Using Computer Based on ISWT


Sun Xiaolin Guo Shuxu Zhang Zhenguo Gao Fengli** Qian Xiaohua


State Key Laboratory on Integrated Optoelectronics. College of Electronic Science and Engineering.

Jilin University,

Changchun, China .

E-mail: sxl.2005@163.com

** gaofl@jlu.edu.cn


Abstract—This paper proposes a novel algorithm of synthesizing 1/f-type fractal signal based on ISWT (inverse stationary wavelet transform. A group of Gaussian white noise as the wavelet transform coefficient of a certain scale is random produced utilizing computer. Calculate the wavelet transform coefficients of other different scales via appropriate transformation, and then the 1/f-type fractal signal can be obtained under ISWT. Simulation results show that the synthesized signal meets the characteristics of 1/f-type signal. This algorithm can be achieved under a variety of wavelets, and it is simple, effective and reliable, and also has a good general adaptability.

Keywords-signal Processing; ISWT; 1/f-type Fractal Signal; computer simulation; correlation


Nonlinear Dynamic Soft Senser modeling of Wastewater Treatment Effluent Quality

ZHAO Li-Jie1,2

1. College Of Information Engineering,Shenyang Institute of Chemical Technology

Shenyang, China

e-mail: zlj_lunlun@163.com

XIAO Hui1, DIAO Xiao-Kun1, Chai tianyou2

2.key laboratory of integrated automation of process industry, Ministry of Education,Northeastern University

Shenyang, China

e-mail: xiaohui05150219@163.com


Abstract—Due to the lack of widely stable and reliable water quality parameters on-line instrumentation, it is difficult to implement closed-loop control of water quality and optimize the operation for wastewater treatment plant. In this paper, a nonlinear dynamic soft-sensing multi-model based on PLS is proposed to solve the problem of multi-variable, non-linear and time-varying uncertainty in wastewater treatment process, through selection of such auxiliary variables easily received as water flow and quality, the dissolved oxygen and oxygen aeration. The methodology integrates dynamic ARX with Fuzzy C-means identifies operating conditions of time-varying and uncertainty in the wastewater treatment process. NNPLS is used to establish a number of non-linear model in different operating conditions and the whole non-linear system. The proposed method is applied in soft-sensing of effluent quality component concentration in wastewater treatment plant. Simulation results indicate that the method which establishes a multi-variable model of water quality indicators is more precise than traditional linear PLS model.

Keywords- NNPLS; fuzzy-c-means clustering (FCM); ARX; soft-sensor; WWTP


Contextual Routing and Navigation Method in Road Networks


LI Yuan*

School of Architecture and Civil Engineering

Xiamen University

Xiamen, China

e-mail: yako79@gmail.com


ZHU Qing

LIESMARS

Wuhan University,

Wuhan,China

e-mail: zhuq66@263.net

LI Xiaoming

LIESMARS

Wuhan University,

Wuhan,China

e-mail: lxmingster@gmail.com


Abstract—In this paper, a novel method, namely contextual routing and navigation, is proposed. This method is based on the author’s proposed hierarchical, lane-oriented 3D road network. The key to implement contextual routing and navigation is to adopt cognition-based hierarchical routing strategy and the view-based multi-scale navigation strategy. The two strategies enable users routing on roadway centreline, carriageway or lane and provides 2D, 2.5D and 3D communicating based on user defined context. A prototype is also developed in the VGEGIS system and the experimental results have confirmed the effectiveness and efficiency of the method. The paper will provide a contribution to flexible location-based services by innovatively considering the hierarchical knowledge of the road network system and contextual visualization needs.

Keywords- Navigation; 3D GIS; Road Network Model


Automatic classification of meta-search engine design and implementation


Jiandong Cao

Software College

Northeast University (NEU)

Shenyang, China

E-mail: neu.loner@gmail.com

Yang Tang

Software College

Northeast University (NEU)

Shenyang, China

E-mail: svernetang@gmail.com


Jian Song

Software College

Northeast University (NEU)

Shenyang, China

E-mail:songjian_1989@yahoo.cn

Abstract—as growing network information, as well as the limitations of traditional search engines, so that people searching for information using traditional search engine, the difficulty greatly increased. We have developed a Meta search engine, which can be automatic classification of information, users use this search engine to search for information; on the one hand can guarantee the recall of information. More importantly, the user can quickly obtain the necessary information based on the system for automatic separation of the categories of information. This paper describes the design and implementation of this system.

Keywords-search engine; meta search engine; automatic clustering


Clustering Algorithm Based on Characteristics of Density Distribution


Zheng Hua, Wang Zhenxing, Zhang Liancheng, Wang Qian

National Digital Switching System Engineering & Technological R&D Center

Zhengzhou, China

e-mail: hzheng2007@yahoo.cn


Abstract—Density-based clustering algorithms, which are important algorithms for the task of class identification in spatial database, have many advantages such as no dependence on the number of clusters, ability to discover clusters with arbitrary shapes and handle noise. However, clustering quality of most density-based clustering algorithms degrades when the clusters are of different densities. To address this issue, this paper brings forward a clustering algorithm based on characteristics of density distribution--CCDD algorithm. Firstly, it divides data space into a number of grids. Secondly, it re-divides data space into many smaller partitions, according to each grid’s one-dimensional or multi-dimensional characteristics of density distribution. Finally, it uses an improved DBSCAN algorithm, which chooses different parameters according to each partition’s local density, to cluster respectively. The experimental results show that CCDD algorithm, which is superior in quality and efficiency to DBSCAN algorithm, can find clusters with arbitrary shapes and different densities in spatial databases with noise.

Keywords-data mining; clustering; density-based clustering; DBSCAN algorithm; grid; data space partition


Based on Spectral Information Fusion Soft Senser Modeling of Wet Ball Mill Load

ZHAO Li-Jie1,2

1.key laboratory of integrated automation of process industry, Ministry of Education,Northeastern University

Shenyang, China

e-mail: zlj_lunlun@163.com

TANG Jian 1, YUE Heng1, CHAI Tian-you 1

2. College Of Information Engineering,Shenyang Institute of Chemical Technology

Shenyang, China

e-mail: tjian001@126.com


Abstract—Ball mill load measurement is essential to control and operational optimization for the wet grinding process, which affects the production efficiency and energy consumption. A frequency spectral information fusion soft sensor model is proposed to estimation the mill load in the paper. PCA is used to extract the feature of frequency spectrum to deal with many, noise and collinear variables. FFT is used to estimate the power spectral density(PSD)of the vibration and acoustic signal. PLS were combined with PCA scores inputs to develop mill load. Principal component numbers are selected by an optimize model. A case study shows that the proposed frequency spectral information fusion soft sensor model is effective, and produces better predictive performance than single sensor model.

Keywords- Ball mill load; Soft sensor; frequency spectrum; PCA;PLS


Design of Ultra-broadband Microwave Sources Based on ADF4350


Hui XU and Liang PENG

School of Information Science & Engineering,

Shenyang University of Technology,

Shenyang 110870, P. R. China

xhimage@163.com


Abstract—In consideration of the requirement of miniature, high resolution and ultra-broadband on the frequency synthesizer recently, this paper presents a design of miniature ultra-broadband and high resolution frequency synthesizer. Based on the theory of PLL, ADI’s wideband clock synthesizer ADF4350 with integrated a on-chip voltage-controlled oscillator (VCO) is used to be the core component of the system to design a ultra-broadband microwave signal source with the bandwidth ranging from 800MHz to 4000MHz. The hardware circuit is described in detail, and simulation software ADIsimPLL is used to aided design the loop filter of the circuit. PLL lock time, noise and other important indicators are also analyzed in this paper. A microstrip balun is design to converse the differential balance outputs to an unbalance output. Spectrum analyzer is used to analyze the system, and the power of each frequency is stable which meets the requirements in the entire frequency band.

Keywords-ultra-broadband; ADF4350; frequency synthesizer; PLL; microstrip Balun


New Model of SaaS: SaaS with Tenancy Agency


Wenyu Liu1, Bin Zhang1, Ying Liu2, Deshuai Wang1,Yichuan Zhang1

1College of Information Science and Engineering, 2Software College

Northeastern University, NEU

Shenyang, China

zhliuwenyu@163.com


Abstract—SaaS is a new delivery model for the software development and application. Providers tend to make their SaaS products achieve higher level of maturity, serves more people, satisfy more different individual requirements, while maintaining efficiency and flexibility. This paper introduces a new SaaS application model called SaaS with tenancy agency. It adds two new layers: tenancy process layer and tenancy agency layer, to traditional SOA architecture. First, the system proposed in this paper splits the business process into unified elements, and handles these elements in the same actuator. The actuator focusing on repeated work reduces processes switching time and promotes efficiency. Second, the system combines these elements to tenancy processes to achieve customization of the process. Third, the system sets one tenancy agency for each group of tenants with similar requirements. In such architecture, agencies avoid being too huge and work with noninterference. Platform has been made to produce and run SaaS in this architecture. SaaS with tenancy agency is proved to be feasible.

Keywords-SaaS; tenancy; customizable; maturity


Researh On a New Model of Numerical Control Program Interpreter

Haitao Hong

School of Computer Science and Technology

University of Science and Technology of China

Hefei, Anhui, P. R. China

hhtao@mail.ustc.edu.cn

Dong Yu

National Engineering Research Centre for High-end CNC

Shenyang Institute of Computing Technology of Chinese Academy of Sciences

Shenyang, Liaoning, P. R. China

yudong@sict.ac.cn

Xiaohui Zhang and Long Chen

Shenyang Institute of Computing Technology of Chinese Academy of Sciences

Shenyang, Liaoning, P. R. China

{zhangxiaohui & chenlong}@sict.ac.cn


Abstract—With the constant development of numerical control technology, the expansion of CNC (computer numerical control) system function is restricted with the interpreter lacking in universality and expansibility. In order to deal with this problem, a new model of interpreter was proposed based on the analysis of NC (numerical control) program basic format. The model is consisted of a NC program rules module and a processing module which includes a lexical analysis sub-module, a syntax analysis sub-module and a machining command converting sub-module. The legal word table and the machining function definitions table in the NC program rules module assist the processing module to interpret the NC code. It is very pivotal for the interpreter to be expansible that the CNC system developers can easily modify the NC program rules module and other sub-modules in accordance to different functional requirements. The design process of every module was expatiated and an interpreter prototype was developed based on this mechanism, which verified the validity of this proposed approach.

Keywords: NC program; CNC system; interpreter.


Dynamic Modeling of a PEM Fuel Cell Stack Thermal System


Li Deng, Xian-Rui Deng, Member, IEEE,

Ning Ma

Department of Computer Science

Tangshan Teacher’s College

Tangshan, China

xianruideng@yahoo.com.cn

Ping Wei

Department of Automatic Control

China University of Petroleum

Beijing, China

mail_weiping@yahoo.com.cn


Abstract—A dynamic model for the thermal system of a PEM fuel cell stack is proposed in this paper. It is based on the theory of heat transfer and mass transfer. And it is intended to be used for system analysis and control. The model can not only predict the variables and states in steady case, it can also describe their transient process when the output current varies with load. Besides, it can give insight of the states of different parts of the fuel cell stack. The simulation results show the model is valid and useful.

Keywords-PEM fuel cell; stack; modelling; thermal system; transient process


Criminal Investigation Expert System Based on Extension Intelligence

Ping He, Zengtang Qu

Department of Information

Liaoning Police Academy

Dalian, 116036 China

e-mail: heping2000@163.com


Abstract—Based on the theoretical research and actual developing status of artificial intelligence and expert system, this paper discusses several issues in the development of criminal investigation expert systems (CIESs). In particular, we focus on an extension decision support system (EDSS) which employs domain knowledge of recidivism in the crime analysis system. Using the elicited domain knowledge, the EDSS tool uses deductive reasoning techniques to make inferences and provide suggestive courses of action to support the investigatory functions of police, attorneys, or probation officials. In this paper, we present an experience mapping intuitive inversion principle (EMII), and we describe the rationale for developing the CIESs, why we focus on the criminal analysis system, the methodology for eliciting EDSS domain knowledge and experience, and a scenario of what we are implementing as a proof of intuition learning system. A series of elicitation sessions which epitomize the EDSS have been discussed in the paper. After presenting an overview of the system and the major research choices, we describe in detail the system’s modules and present examples of its potential use.


Keywords— criminal investigation; expert system; CDSS; extension intelligence; artificial intuition knowledge learning


Study on Unascertained Comprehensive Evaluation Model Basing on Modified Entropy


Xiao MeiDan, Liu Bin, Dong FenYi

College of Information and Management Science

Henan Agricultural University

Zhengzhou, China

Xiaomeidan_fujian@126.com


Abstract—Unascertained theory and method are mathematical tool to deal with uncertain information,which has rigorous logic. Traditional unascertained evaluation model determines index weight by information entropy method usually, in which the weight value is more objective, but information entropy method can’t express the knowledge and experience of experts and the opinion of decision makers,and sometimes obvious deviation may exist between the weight by entropy and the actual important degree,and even may lead to incorrect weight.This paper introduces the analytic hierarchy process to modify information entropy,and establishes the unascertained measure model basing on modified entropy weight.The model combines the weight determined by experts and by entropy weight to solve the index weight,which gives a comprehensive consideration of subjective and objective factors,and the method can improve the accuracy of weight value and the reliability of evaluation results.

Keywords- Unascertained measure; Entropy weight; Analytic hierarchy process;Modified entropy weight


Active Sensing Based Cooperative Target Tracking using UAVs in an Urban Area

Lin Wang, Fei Su, Huayong Zhu, and Lincheng Shen

College of Mechatronic Engineering and Automation

National University of Defense Technology

Changsha 410073, China

wanglinhunan@gmail.com


Abstract—To the problem of cooperative ground moving target tracking using UAVs in an urban area, a novel method is presented, which based on target state fusion estimation and prediction, as well as on-line trajectory planning. Firstly, based on active sensing, a solving framework was presented, the formal representation and system model of cooperative target tracking using a team UAVs was established; secondly, a filter, named unscented information filter, was suggested for fusion estimation and prediction of the target state; thirdly, with a predicted target state, an on-line trajectory planning algorithm was presented, which based on receding horizon control and genetic algorithm. Simulation results demonstrate that the performance of target tracking was improved with regard to the predicted target state.

Keywords-UAV; ground moving target; cooperative tracking; active sensing; fusion estimation; on-line trajectory planning


Input-output Pairing Based on the Control Performance Assessment Index

S. Choobkar

K. N. Toosi University of Technology

Tehran, Iran

Choobkar@ee.kntu.ac.ir

A. Khaki Sedigh

K. N. Toosi University of Technology

Tehran, Iran

Sedigh@kntu.ac.ir

A. Fatehi

K. N. Toosi University of Technology

Tehran, Iran

Fatehi@kntu.ac.ir


Abstract—In this paper, the relation between Input-output pairing and minimum variance (MV) index as a performance index is studied. Control structure selection or the input-output pairing problem is a key step in designing decentralized controllers for multivariable. The Relative Gain Array (RGA) is an important tool for the control structure selection procedure. In this study, RGA is calculated and decentralized minimum variance controllers are designed for each feasible pairing. The MV performance index will be calculated from the closed loop transfer function using the markov parameters. It is shown that the value of the MV index can propose an input-output pairing that leads to minimum output variance. Several simulation results are provided to show the main points of the paper.

Keywords: Performance Assessment, Minimum Variance, Input-output Pairing, Harris Index.


Application and Research of JBPM Workflow Based on JBoss Seam


Wang Yonggui

Dept of Software

Liaoning Technical University

Huludao, Liaoning, China

yghl2000@163.net

Li Haishan

Dept of Electronics and Information Engineering

Liaoning Technical University

Huludao, Liaoning, China

sovereignlhs000@163.com


Abstract—JbossSeam as a”deep integration” framework, absorbs all essential in Java EE5 and spring .It provides a unified component model for integrating the entire framework. JBPM is a flexible and extensible workflow management system, used to create different users, different applications, different services to interact between business processes. This article describes Seam Framework features and JBPM workflow principles. And through a specific example research in seam integration it simplifies the JBPM workflow of the whole process.

Keywords- JBoss Seam;Component Model;JBPM;Workflow;


Study on Soft-sensing Model for Condenser Vacuum Based-on Support Vector Regression


Lei WANG

Thermal Power Engineering Department,

Shenyang Institute of Engineering,

Shenyang 110136, Liaoning, China,

zrqwl2003@126.com

Rui-qing ZHANG

Thermal Power Engineering Department,

Shenyang Institute of Engineering,

Shenyang 110136, Liaoning, China,

dlxyzrq2001@163.com


Abstract—In this paper, depending on the interrelation of condenser’s operational parameters, the factors which affect the vacuum of condenser are analyzed. And a soft-sensing model for condenser vacuum is given by using Support Vector Regression (SVR), then the model is verified and parameters are discussed based on the data of the 300MW steam turbine unit, and the prognostication precision is compared with a RBF model. The results indicate that model based-on SVR has forcible generalization ability and stability and can be adapted to application. The condenser vacuum can be calculated by using the soft-sensing model when the vacuum measuring point is fault, so the model based-on SVR provides a redundancy method for the measurement and diagnosis of condenser vacuum.

Keywords- support vector regression; soft-sensing; steam turbine; condenser vacuum


Research on Service-Oriented Collaboration Manufacturing Platform and Its Application


MA Jun, XIAO Yanqiu, LI Hao, LUO Guofu

Department of Mechanical-Electronic Engineering

Zhengzhou University of Light Industry

Zhengzhou, China

e-mail: majunfirst@sohu.com


Abstract—To the issues of business processes changing frequently, heterogeneous system islanded and manufacturing resource hard to reuse during collaborative manufacturing, a service-oriented collaborative manufacturing mode was presented. First of all, the concept of collaborative manufacturing service mode and its characteristics were expounded, and secondly, the model of task unit and service unit for collaborative manufacturing were restructured in logic and then described in the form of meta-model. Collaborative manufacturing task matching to collaborative manufacturing service was achieved, and manufacturing service chain was established quickly. Finally, service-oriented platform architecture for complex products collaborative manufacturing was build. Practice shows this platform would enhance productivity and improve enterprise manufacture collaboration effectively.

Keywords-complex products; collaboration manufacturing; meta-model; service oriented architecture; manufacturing service chain


Research on Vehicle Rollover and Control

WU Xinye*

Department of Mechanical & Electrical Engineering

Xiamen University

Xiamen,Fujian

*e-mail: drsunshine@163.com

GE Xiaohong

Department of Mechanical & Electrical Engineering

Xiamen University

Xiamen,Fujian

e-mail: xhge@xmut.edu.cn

LUO Shuyou

Department of Mechanical & Electrical Engineering

Xiamen University

Xiamen,Fujian

e-mail: luoshuyou@126.com

HUANG Hongwu

Department of Mechanical & Electrical Engineering

Xiamen University

Xiamen,Fujian

e-mail: hhw6796@xmut.edu.cn


Abstract—Rollover is one of the main traffic accident forms for vehicle.According to the datas recently, rollover has become the second most serious accident. However, the study on rollover in China is at the beginning.The study on vehicle rollover is based on the theories of rollover. In order to optimize vehicle configuration,and enhance vehicle rollover stability,and ensure the road safety,rollover model is proposed and simulated in computer.Besides, the reasons that have effect on rollover are analyzed in detail. The final result can provide a scientific basis for the optimization of the vehicle’s structure and improve the stability of vehicle rollover.Furthermore, some active control systems with rollover prevention are analysized and proposed. At last, the effective control system and the project how to achieve it are provided.

Keywords-Rollover; Roll Angle; Simulation; Stability of Vehicle Rollover; Rollover Threshold


A QoS prediction approach based on improved collaborative filtering


Li Cui-cui

Dept. of Electronic and Information Engineering

Liaoning Technology University,

Huludao Liaoning ,China

yuzhongzhu110@163.com

Deng Yue

Dept. of Electronic and Information Engineering

Liaoning Technology University,

Huludao Liaoning ,China

422520788.dengyue@163.com

Cui Li-qun

Dept. of Software

Liaoning Technology University,

Huludao Liaoning ,China

cuiliqun330@163.com

Feng Wen-xiang

Dept. of Electronic and Information Engineering

Liaoning Technology University,

Huludao Liaoning ,China

wenxiang0508@163.com


Abstract—Consumers need to make prediction on the quality of unused Web services before selecting from a large number of services. Usually, this prediction is made based on other consumers’experiences. Being aware of the similarity of consumers’ assessment, this paper proposes a QoS prediction approach. This approach calculates the similarity among consumers, and then uses a improved collaborative filtering technology to predicting the QoS of the unused Web services. Experimental results show that with this approach preciseness of QoS prediction for Web services is higher than other prediction approaches, and it has good feasibility and effectiveness.

Keywords-Web service;QoS;collaborative filtering; similarity


Using Learning Classifier to Recognize Face Image


Hui Yu

( Institute of Computer & Communication Engineering, China University of Petroleum, Shandong, China, 257061)

E-mail: huiyu@upc.edu.cn;


Abstract: This paper proposed how to recognize face image using learning classifier. The main idea of SVM is to give an optimal hyper-plane for two categories classification issues. The max value of k decision functions is used to decide sample data x belong to which class. Experimental result shows that the proposed face recognition algorithm is effective.

Keywords: face image recognition; learning classifier; support vector machine ;


Non-Fragile H∞ Control for Uncertain Fuzzy Descriptor Systems Based on Delay-Dependent Method


Weihua Tian Cunxu Wang Yan Zhao

Department of Automatic Control Engineering

Shenyang Institute of Engineering

Shenyang, China

e-mail: tianwh@sie.edu.cn; wcx2581@sohu.com; zhaoyan@sie.edu.cn

Jun Yang

School of Information Science and Engineering

Northeastern University

Shenyang, China

e-mail: jyneu@126.com


Abstract—In this paper, the delay-dependent non-fragile robust H control for a class of fuzzy descriptor time-delay systems with norm-bounded parameter uncertainties is investigated. First, a new delay-dependent non-fragile H stabilization method is proposed via a state feedback fuzzy controller, which guarantees the closed-loop nominal system to be regular, impulse free, asymptotically stable. Then, sufficient conditions for the solvability of the controller design problems of different gain cases are presented in terms of linear matrix inequalities (LMIs) and satisfies an H-norm condition for all admissible uncertainties. Finally, a numerical example is provided to demonstrate the application of the proposed method.

Keywords- uncertain fuzzy descriptor time-delay systems, non-fragile control, H control, delay-dependent criteria, linear matrix inequalities (LMIs)


Method of Information System Authority Control Based on RBAC in Web Environment

Yongping Zhang, Mingming Wu, Zhuqing Wan

School of Computer Science and Technology, China University of Mining and Technology

Xuzhou 221008, China

Corresponding author: E-mail: mmwu@cumt.edu.cn


Abstract—Access Control is very important in design of MIS and is safe assurance of system. The Role Based Access Control model is presented in this article. On this basis we present a method of information system authority control based on RBAC in web environment.

Keywords-Access Control; RBAC (Role-Based Access Control); MIS


Development and applications of spatial-temporal

database based on China cropland resources and remote sensing


Shunguang Hu★※

★Institute of Remote Sensing Applications,Chinese Academy of Sciences ※Graduate University,Chinese Academy of Sciences

^ ★IRSA ※GUCAS

Beijing, China

hushunguang@126.com

Zengxiang Zhang

Institute of Remote Sensing Applications,Chinese Academy of Sciences

IRSA

Beijing, China

zx_zhang@263.net


Abstract—Traditional database storage based on file mode is difficult to resolve problems such as data sharing, network communication, concurrency control and recovery mechanism of data security, meanwhile, the research on dynamic monitoring, evaluation and prediction of China cropland resources is becoming widely concerned. Referring to the system structure of SQL Server 2000, adopting the SDE administrator command method with ArcSDE data engine interface, and using component object model library of ArcGIS Engine 9.2, we realize seamless integration of the spatial data warehousing and complete client-side GIS development and applications in Microsoft VB 6.0 circumstance. As a result, spatial-temporal database based on China cropland resources and remote sensing is built with C/S operated mode which can reach the top TPC-C performance. In conclusion, the database system achieves four major functions: First, it realizes map searching, spatial analysis and result displaying by using spatial database. Second, it achieves information searching, statistical analysis and data tabulation by using attribute database. Third, it carries out database updating in time with real-time remote sensing database. Fourth, it makes productive potential estimating become true by using algorithmic models.

Keywords- China cropland resources; remote sensing; database system; development; application


Applying Hibernate to Persist Java3D Virtual Scene in Oracle


Bo Wei

1. School of Land Science and Technology, China University of Geosciences (Beijing), Beijing, 100083, China

2. School of Civil and Architectural Engineering, Guilin University of Technology, Guilin, 541004, China

e-mail: superweibo@126.com


Abstract—A Java3D virtual scene includes not only 3D models but also other elements. To operate Java3D virtual scene as a whole in object-relational databases, a persistent scheme based on Hibernate was used to persist Java3D virtual scene in Oracle. According to the tree structure of Java3D virtual scene, 8 persistent classes and their bi-directional associations were created through Hibernate Object/Relational Mapping and association mappings. The 3D models were stored and modeled in Oracle 11g Spatial. Two custom java classes to map SDO_GEOMETRY data type of Oracle 11g Spatial were also developed to solve the problem that Hibernate does not provide support for mapping this type at present. The object-oriented 3D queries can be used in the persistent scheme, including Shap3D queries, partial Shap3D queries, attribute queries and 3D spatial queries. The developed 3D spatial queries supporting Oracle 11g spatial functions such as SDO_RELATE, SDO_WITHIN_DISTANCE, SDO_FILTE, SDO_INSIDE, SDO_ANYINTERACT and SDO_NN can be executed through Hibernate Query Language and Query by Criteria. The object-oriented 3D operations for the Java3D virtual scene objects can be effectively executed in Oracle through Hibernate persistent technologies.

Keywords-Java3D virtual scene; persistence; 3D queries; association mappings; Object/Relational Mapping


Application of Sliding Mode Control Based on DMC in Guidance Control System

Lei Jia

School of Aerospace Engineering

Beijing Institute of Technology

Beijing, China

E-mail: dds3@bit.edu.cn

Meng Xiuyun

School of Aerospace Engineering

Beijing Institute of Technology

Beijing, China

E-mail: mengxy@bit.edu.cn


Abstract—In this paper, a new control strategy is applied in guidance control system. It obtains the control law with predicting the sliding surface which designed in sliding mode control. This technique is called predictive sliding mode control. It acquires the robustness feature of sliding mode control and the good performance of predictive control. Finally, simulation results are provided to show the effectiveness of the proposed method.

Keywords-predictive control; sliding mode control; guidance control system; DMC


The Application of BP Neutral Network Optimized by Genetic Algorithm in Transportation Data Fusion


Xiaomei Sun

College of Traffic and Transportation &State Key Lab of Automobile Dynamic Simulation, Jilin University, Changchun, Jilin 130022, China.

e-mail:sxm19830205@163.com

Zhaosheng Yang

College of Traffic and Transportation &State Key Lab of Automobile Dynamic Simulation, Jilin University, Changchun, Jilin 130022, China.

e-mail:yangzs@jlu.edu.cn


Zhijian Wang

College of Traffic and Transportation &State Key Lab of Automobile Dynamic Simulation, Jilin University, Changchun, Jilin 130022, China.

e-mail:wzjian0722@163.com

Abstract-BP neutral network is a method to fuse datas from several dissimilar sensors for more precise results, but its low convergence rate and easily falling into local minimum often decrease the fusion precision. In order to overcome this drawback, we combined BP neutral network with genetic algorithm, and optimized connection weights and threshold value of BP neutral network by genetic algorithm. Then the optimal BP neutral network was applied in transportation system for traffic volume fusion. Experiment result demonstrates that our method satisfied the real-time request of transportation system more effectively.

Keywords: BP neutral network, genetic algorithm, data fusion, transportation


Hybrid Peer-to-Peer Search Algorithm in All IP Broadband Mobile Networks


Zhao Yu, Tang Hong-bo and Wang Xiao-lei

National Digital Switching System Engineering & Technological R&D Center

Zhengzhou, China

e-mail: itsyz@sina.com


Abstract—To improve the quality of search algorithm in all IP broadband mobile networks, a hybrid Peer-to-Peer (P2P) search algorithm (HPSA) is proposed which is based on the features of P2P technology and all IP broadband mobile networks. Firstly, this algorithm defines parameters to decide the threshold by means of grey relational analysis (GRA); then we put forward an adaptive threshold method to adapt the dynamic environment; finally, it also presents the optimal threshold. The simulations show that HPSA makes a good performance working in all IP broadband mobile networks, the new algorithm improves search quality and mobile users’ experience efficiently.

Keywords-All IP broadband mobile networks; Peer-to-Peer; Hybrid search algorithm; adapvtive threshold


SWEE: Approximately searching web service with keywords effectively and efficiently

Zuoyan Qin, Peng Li, Qing Zhu and Chao Tian

Key Laboratory of Data Engineering and Knowledge Engineering

School of Information, Renmin University of China, Beijing 100872

{QinZuoyan,Sapphire, Zq,tc}@ruc.edu.cn


Abstract—With the wide use of web services over the world, an effective and efficient search engine becomes necessary. In this paper, we analyzed the limitation of search method using traditional UDDI, and make it in IR-style and take advantage of approximate string matching. Motivated by the feature of WSDL files which define the interfaces of web services, we make operations defined in WSDL files which compose web services as the base units for searching and organize all information of operations and corresponding components as documents, which will facilitate IR-Style keyword searching. In order to improve the precision of searching, we enable users to specify weights in their queries. By defining our ranking function, we sort all the results and present top n ones to users. We also build inverted indexes on operations and corresponding documents to improve query efficiency. In addition, we carry out simple semantic analysis on WSDL files to acquire better accuracy. At last, not only have we tested the efficiency of query after introducing approximate string matching, but also have we verified the effectiveness of the query results.


The Supervision Present Evaluation and Management Countermeasures Making of Road Hazardous Materials Transportation in Jilin Province


WANG Yunpeng

School of Traffic & Transportation

Jilin University

Changchun, China

wangyunpeng@jlu.edu.cn

YANG Siqi

School of Traffic & Transportation

Jilin University

Changchun, China

iamyangsiqi@126.com

LI Shiwu

School of Traffic & Transportation

Jilin University

Changchun, China

shiwu@jlu.edu.cn

KUI Hailin(Corresponding Author)

School of Traffic & Transportation

Jilin University

Changchun, China

khl69@163.com


Abstract—In order to strengthen management of road hazardous materials transportation, safeguard public interest and social safety, the influence factors that affect the safety supervision level of hazardous materials transportation are systematically and comprehensively analyzed, then the evaluation index system is formed and the index weight is determined with the analytical hierarchy process method. Furthermore, it uses the fuzzy comprehensive evaluation to evaluate the supervision present of road hazardous materials transportation. The evaluation result indicated that the safety supervision level of road hazardous materials transportation in Jilin province is general. To improve the safety supervision level of road hazardous materials transportation, the influence factor weight is calculated and the main influence factor is identified, therefore, the countermeasure and proposal of improving the management level of road hazardous materials transportation in Jilin province are provided for the relevant departments.

Keywords-Engineering of Communications and Transportation System; supervision present evaluation; fuzzy comprehensive evaluation; hazardous materials transportation


An Application of Digital Signal Processor in Brain-computer Interface Based on

Steady-State Visual Evoked Potential

Li Zhao1, Daofu Hu1, Longteng Xiao1, Hui Shen1, Qingguo Meng1

1The School of Automation and Electrical Engineering

Tianjin University of Technology and Education

Tianjin,China

E-mail: hutaofu0701@126.com


Abstract—This paper proposes the disign method of a Brain-Computer Interface(BCI) system based on SSVEP.Achieved an effective collection and processing of SSVEP information through the combination of analog filtering and digital processing;Changed the features which were extracted from the processed signals into control commands to control the peripherals. In this paper, digital signal processor (DSP) is used in BCI, with its superior processing power and rich peripheral resources, a real-time processing and miniature BCI system become a realization.

Keywords-Brain-Computer Interface;DSP;SSVEP


Control strategy based on BP neutral network plus PID algorithm for dual electric tracked vehicle steering


CHEN Ze-yu

Beijing Institute of Technology

Beijing, China

chenzy0218@sina.com

ZHANG Cheng-ning

Beijing Institute of Technology

Beijing, China

mrzhchn@bit.edu.cn


Abstract – A turning control strategy based on BP neutral network and modified by a PID algorithm is presented in this paper for the dual electric tracked vehicle. Firstly analyzed the tracked vehicle turning dynamics and establish the torque distribution strategy. The BP network is trained by data from the distribution strategy simulation results; the PID algorithm is used to eliminate the dependence of terra coefficient. Simulation results show that the control strategy presented here is effective for the dual electric tracked vehicle steering.

Key words: tracked vehicle; control strategy; BP network; PID; steering


Adaptive Model Predictive Control Of A Hybrid Motorboat Using Self-organizing GAP-RBF Neural Network And GA Algorithm


Karim Salahshoor, Ehsan Safari, Mohammad Foad Samadi

Department of Automation and Instrumentation

Petroleum University of Technology

Tehran, Iran

e-mails: salahshoor@put.ac.ir, safari.ehsan@yahoo.com, m.foad.s@gmail.com


Abstract—The paper presents a novel adaptive neural-network based nonlinear model predictive control (NMPC) methodology for hybrid systems with mixed inputs. For this purpose an online self-organizing growing and pruning redial basis function (GAP-RBF) neural network is employed to identify the hybrid system using the unscented kalman filter (UKF) learning algorithm. A receding horizon adaptive NMPC is then devised based on the identified GAP-RBF neural network model. The resulting nonlinear optimization problem is solved by a genetic algorithm (GA). The performance of the proposed adaptive model predictive control methodology is illustrated on a motorboat simulation case study.

Keywords- Hybrid Systems; Motorboat Case Study; Model Predictive Control; Online Identification; GAP-RBF Neural Network; GA optimization


A New Fault Toletant Nonlinear Model Predictive Controller based on an Adaptive Extended Kalman Filter


Karim Salahshoor, Shabnam Salehi, Vahid Mohammadnia

Department of Automation and Instrumentation

Petroleum University of Technology

Tehran, Iran

e-mails: salahshoor@put.ac.ir, shabnam.salehi@yahoo.com, v.mohammadnia@gmail.com


Abstract— This paper presents a new Fault Tolerant Nonlinear Model Predictive Controller (FTNMPC). The proposed controller utilizes a Fault Detection and Identification (FDI) scheme based on a novel adaptive extended Kalman filter (EKF) technique. For this purpose a Multi Sensor Data Fusion (MSDF) methodology is incorporated to enhance the estimation accuracy and reliability. A series of illustrative sensor test scenarios has been organized in a Continuous Stirred Tank Reactor (CSTR) benchmark process, which is a typical nonlinear process case study, to comparatively assess the resulting performances of the proposed FTNMPC against typical sensor faults consisting of calibration biases and excessive-variance noises.

Keywords- Fault Tolerant Control System (FTCS); NMPC; FDI; Adaptive Extended Kalman Filter (AEKF); MSDF;


Stable Boolean rule learning: An fMRI investigation

Xiuzhen Wang1,2

1The International WIC Institute, Beijing University of Technology, Beijing 100022, China

2Harbin Normal University, Harbin 150301, China

Shengfu Lu1

1The International WIC Institute, Beijing University of Technology, Beijing 100022, China

Hongxia Wang2

2Harbin Normal University, Harbin 150301, China

Ning Zhong1,3

1The International WIC Institute, Beijing University of Technology, Beijing 100022, China

3Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Japan

Shulei Lang2

2Harbin Normal University, Harbin 150301, China (langshulei@gmail.com)


Abstract—To explore brain areas involved in Boolean arithmetical computation, functional magnetic imaging (fMRI) was performed on college students during performance of Boolean calculation tasks. For the Boolean arithmetical problems relative to number-processing tasks, results for all twelve subjects revealed bilateral activation in occipital cortex (areas 17 and 18), frontal cortex (areas 6, 8, 9 and 46), and sub-lobar areas. Other simultaneously activated regions included the left inferior parietal lobule, postcentral gyrus and superior parietal lobule. Areas activated by the Boolean mathematical problems associative with the number-processing in fronto-parieto-occipital network. These results confirm some existing hypotheses regarding the cortical network of arithmetic processing, invite acquisition of complex mental problems, and suggest basal role for complex mathematics.

Keywords- number-processing; mathematics; Boolean rules; parietal lobe; frontal cortex


Representation and Reasoning Algorithm about

Fuzzy Knowledge and its Three Kinds of Negations


Zhenghua Pan

School of Science, Jiangnan University

Wuxi, China

E-mail: pan_zhenghua@163.com


Cun Wang

School of Science, Jiangnan University

Wuxi, China

E-mail: panzh@jiangnan.edu.cn


Abstract In this paper, we propose that there exist three kinds of negations in fuzzy knowledge, namely contradictory negation, opposite negation and fuzzy negation. Based on the medium predicate logic MF and And-Or tree, presented representation and reasoning of fuzzy knowledge and its three kinds of negations via an example, discussed algorithm of reasoning, as well as realization of algorithm about example.

Keywords-negation of fuzzy knowledge; fuzzy knowledge representation and reasoning; medium predicate logic; and-or tree, reasoning algorithm


Identification for Piezoelectric Smart Materials Based on Neural Networks Method


Liu Yanmei

Department of Automation

Shenyang Institute of Aeronautical Engineering

Shenyang, China

e-mail: lymcml@126.com

Chen Zhen, Xue Dingyu

School of Information Science & Engineering

Northeastern University

Shenyang, China

e-mail:chenzhensy@126.com


Abstract—Based on the static Preisach hysteresis model of Piezoelectric Smart Materials, the technology of Artificial Neural Networks is applied for the hysteresis modeling of Piezoelectric Smart Materials. The BP network is chosen as the method of identifying the non-linear hysteresis sysytem. Adopting this method one sample’s hysteresis model is built. The results have shown that this method is correct and effective.

Keywords- Preisach hysteresis model, Artificial Neural Networks, identifying, non-linear


Fault Tolerance Force for Redundant Manipulators


Hamid Abdi, IEEE Member,

Centre for Intelligent Systems Research (CISR)

Deakin University

Waurn Ponds, VIC 3217, Australia

Email: Hamid.Abdi@deakin.com.au


Saeid Nahavandi, IEEE SM

Centre for Intelligent Systems Research (CISR)

Deakin University

Waurn Ponds, VIC 3217, Australia

Email: Saeid.Nahavandi@deakin.edu.au

Abstract— Fault tolerant manipulators maintain their trajectory even if their joint/s fails. Assuming that the manipulator is fault tolerant on its trajectory, fault tolerant compliance manipulators provide required force at their end-effector even when a joint fails. To achieve this, the contributions of the faulty joints for the force of the end-effector are required to be mapped into the proper compensating joint torques of the healthy joints to maintain the force. This paper addresses the optimal mapping to minimize the force jump due to a fault, which is the maximum effort to maintain the force when a fault occurs. The paper studies the locked joint fault/s of the redundant manipulators and it relates the force jump at the end-effector to the faults within the joints. Adding on a previous study to maintain the trajectory, in here the objective is to providing fault tolerant force at the end-effector of the redundant manipulators. This optimal mapping with minimum force jump is presented using matrix perturbation model. And the force jump is calculated through this model for single and multiple joints fault. The proposed optimal mapping is used in different fault scenarios for a 5-DOF manipulator; also it is deployed to compensate the force at the end-effector for the 5-DOF manipulator through simulation study and the results are presented.

Keywords-component; Redundant Serial Link Manipulator, Fault Tolerance Compliance, Minimum Force Jump.


The Research on Unmanned Aerial Vehicle Remote Sensing and Its Applications


Li Changchun1,2 Shen Li1 Wang Hai-bo3 Lei Tianjie1*

(1 Beijing Normal University College of Resource Science & Technology, Beijing, 100875,China; E-mail: lichangchun610@126.com,shenli@ires.cn, ,leitianjie@ires.cn;

2 Henan Polytechnic University School of Surveying &Land Information Engineering, Jiaozuo, Henan, 454000,China;

3 Public Weather Service Center of China Meteorological Administration, Beijing, 100081,China; E-mail: blueseawave@163.com)


Abstract—As an important means of obtaining spatial data, the unmanned aerial vehicle (UAV) remote sensing has such advantages as real-time, flexible, high-resolution, cost-effective etc, and it can gather information in dangerous environments without risk to flight crews. Because UAV remote sensing is a powerful supplement of spaceborne remote sensing and airborne remote sensing, it has enormous potential and bright prospect. In this paper, the compositions and key technologies of UAV remote sensing system are presented, and the applications such as land use, land supervision, flood disasters, meteorology disasters, geological disasters, forest fire disasters as well as surveying and mapping are summarized. In the end, we predict the main direction of studying on UAV remote sensing in the future.

Keywords-unmanned aerial vehicle;remote sensing; application; research


Automatic Traffic Congestion identification Method of Expressway based on Gain Amplifier Theory


Guiyan Jiang

State Key Laboratory of Automotive Dynamic Simulation, Jilin University

Changchun, china

e-mail: jianggy@jlu.edu.cn


Guiyan Jiang, Shifeng Niu, Ande chang, Zhiqiang Meng, Chunqin Zhang

Transportation and Traffic College

Jilin University

Changchun, china

e-mail: nsf530@163.com


Abstract—This paper proposes a method for application in automatic traffic congestion identification method (ACI) using gain amplifier theory. The road segment dividing method is given in this paper, and the ACI method of road lean, road cross-section and natural road segment are proposed to identify the traffic state of expressway. The performance of ACI method is evaluated using real and simulation data. The experimental results indicate that the proposed ACI method of lean produced satisfactory DR with deemed acceptable FAR using traffic data of three time scales. The ACI method of natural road segment is suit for estimating the traffic state of natural road segment.

Keywords-ACI; gain amplifier theory; natural road segment


A New Intelligent Fabric Defect Detection And Classification system Based on Gabor Filter and Modified Elman Neural Network

Y.H. Zhang C.W.M. Yuen, W.K. Wong

Institute of Textile and Clothing, The HongKong Polytechnic University, HongKong, China Institute of Textile and Clothing

College of Information and Technology, Donghua University, Shanghai , China The HongKong Polytechnic University

HongKong, China

08901392r@polyu.edu.hk tcyuencw@inet.polyu.edu.hk


Abstract—In this paper, one fabric defect detection and classification system based on 2D Gabor wavelet transform and Elman neural network is introduced. In the proposed scheme, the texture features of the textile fabric are extracted by using an optimal 2D Gabor filter. A new modified Elman network is proposed to classify the type of fabric defects which have a proportional (P), integral (I) and derivative (D) properties. The proposed inspecting system in this study is more feasible and applicable in fabric defect detection and classification.

Keywords- fabric defect detection, classification, Gabor filter, PID, Elman neural networ.


Speech as a High Level Control for Teleoperated Manipulator Arm


Ibrahiem M. M. El-Emary1

1Faculty of Information Technology

King Abdulaziz University

Jeddeh, King Saudi Arabia

E-mail: omary57@hotmail.com


Mohamed Fezari2 & Hadj Ahmed Abbassi3

2,3Laboratory of Automatic and Signals, Annaba

University of Annaba

Annaba, Algeria

E-mail: Mohamed.fezari@uwe.ac.uk,

E-mail: abbassi@uni-annaba.org


Abstract--In this work a tele-operated system for a robot arm is designed and controlled by the operator, in witch voice control mode occur to carry out remote tasks. A voice command system for the manipulator arm is implemented as a high level control design and compared to a low level control design based on joystick. The high level control paradigm adopted is based on a spotted words recognition system using stochastic model, robust HMM (Hidden Markov Model) with Cepstral coefficients as parameters witch is used in automatic speech recognition system. To implement the approach on a real-time application, a Personal Computer USB interface was designed to transmit commands via Bluetooth components to control the movement of a Robot Arm (the TR-45). The user can control the movements of four degree of freedom (DOF) for TR-45 using a vocal phrase containing spotted words or using a joystick.


Keywords- Human-machine interaction, hidden Markov Model, voice command, stepper motors and Robotics.


The Fault Diagnosis for the Screw Rotor of the Single Screw Compressor Based on Wavelet Finite Element Method


ZHAO BIN

School of mechanical Engineering

Liaoning Shihua University

Fushun, China

E-mail: zbzbz0203288@163.com


Abstract—The screw rotor was a main part of the single screw compressor. The crack of the screw rotor would lead to fault of the single screw compressor. Therefore it was necessary to have fault diagnosis for the screw rotor. The wavelet finite element method was used to analyze the fault of the screw rotor. The changes of the natural frequency reflected the location and sizes of the cracks. The effect of main sizes including the length, the width and the depth on the natural frequency was studied, which offered the theoretical guidance for the fault diagnosis of the screw rotor in the further researches.

Keywords-single screw compressor; the screw rotor; wavelet finite element ; fault diagnosis


Research on Reducing Torque Ripple of DTC Fuzzy Logic-based


Gao Sheng-wei1.2, Wang You-Hua1, Cai Yan2, Zhang Chuang1

1. Province-Ministry Joint Key Laboratory of EF and

EAR. Hebei University of Technology

Tianjin, China

gaoshengwei1978@126.com


2. School of Electrical Engineering and Automation

Tianjin Polytechnic University

Tianjin, China


Abstract—The direct torque control (DTC) technique has been widely used as a control strategy for motor drive system. High torque ripple is a major problem when the motor is running at low speed in DTC system. By analyzing the causes of torque ripple, it is can be found that the change of the speed error signal is a good indicator to determine the situation of motor torque ripple. In this paper, a DTC strategy with a fuzzy logic controller has been proposed. The inputs of the fuzzy controller are the speed error signal and the change rate of current signal. The output is incremental value of the torque hysteresis amplitude. Dynamic adjustment of the torque hysteresis amplitude is the ultimate goal. The simulation results show that the DTC system with hysteresis amplitude adjustment fuzzy logic controller can reduce the pulsation of the motor torque and flux, and improve the performance of low-speed operating conditions.

Keywords-fuzzy logic; torque hysteresis; amplitude adjustable; direct torque control


RBF Neural Network Based Prediction for Target Tracking in Chain-type Wireless Sensor Networks


Chen Guangzhu, Zhou Lijuan, Zhu Zhencai,Zhou Gongbo

School of Mechanical & Electrical Engineering

China University of Mining & Technology

Xuzhou, Jiangsu, China

cgzhu@126.com


Abstract—A target tracking is an important embranchment of WSN, which can assure the position of a moving target real-time. This paper works on the prediction problem of target tracking of chain-type wireless sensor networks. We choose RBF neural network as the basis of the tracking prediction model. Based on analysis of chain-type tracking characters and RBF neural network based tracking prediction model, we build a target tracking prediction algorithm. The target tracking prediction problems of moving objects in coal tunnel are simulated and the simulation results show that a moving target can be traced real-time and accurately using the presented tracking prediction model and algorithm.


Keywords-WSNs; RBF Neural Network; Prediction; Target Tracking


Secure mobile payment based on Super SET protocol

WAN Zhongbao1

Information Security Center, East China Jiao Tong University, Jiangxi, Nanchang, 330013 China

Email: nj_qwang@163.com

Wang Qing2

Information Security Center, East China Jiao Tong University, Jiangxi, Nanchang, 330013 China

Email: wqzone85@126.com

ABSTRACT: Under the premise of fully analyzing the security requirements and security threats of mobile payment, the analysis of secure mobile payment based on SET protocol in the WAP environment has been made, then, this paper points out its various flaws exist in the transaction process. Meanwhile, making improvements on the basis of the original Mobile Payment based on SET protocol, then proposed Mobile Payment based on Super SET protocol. The adoption of the advanced mechanism, the credit hierachical system, the dispute arbitrate mechanism and the virtual user information system etc, which strenthened and perfected the security and non-repudiation of the mobile payment based on SET protocol., and satisfied atomic transactions and the privacy safeguarding. The Mobile Payment based on Super SET protocol has improved the whole transaction process of the mobile e-payemt transaction and all the parties’ interests have been guaranteed practically.

KEYWORDS: Super SET protocol,;Secure Mobile payment; Credit hierarchical system; Wireless Application Protocol


Dynamic modeling of Multi-Axis Synchronous Gantry Machining Center


Guo-ning SI, Yue-qing YU, Jian-xin YANG, Zhen ZHANG

(College of Mechanical Engineering and Applied Electronics Technology,

Beijing University of Technology, Beijing 100124, China)

e-mails:siguoning@emails.bjut.edu.cn


Abstract The dynamic model of a multi-axis synchronous gantry machining center VX32-60 is developed based on the finite element method. Both the numerical simulation and the modal experiment are studied. The nature frequencies and mode shapes are obtained by theoretical analysis and experimental results. The effects of material parameters and section parameters on the dynamic characteristics of multi-axis synchronous gantry machining center are investigated. The design optimization method of these parameters is proposed, which increases the nature frequencies of machining center and reduces the motion error.

Key words: Synchronous gantry machining center; dynamic model; dynamic characteristics; nature frequency


Research and Realization of Multi-level Encryption Method for Database


Zhou Yuping,

Information Science and Technology School

Hainan Normal University

Haikou , Hainan, China

e-mail:hnzhouyp@126.com

Wu Xinghui

Information Science and Technology School

Hainan Normal University

Haikou , Hainan, China

e-mail:szfwxh@hainnu.edu.cn


Abstract—Multi-level encryption method was used to encrypt the database system and encryption design method for different levels of data granularity was given, respectively taking database level, table level, recording level and field level as the objects.

Keywords- Database encryption;data table encryption; record encryption; field encryption


Research on Suspension System based

on Fuzzy Logic Control


Chuan yin TANG

School of Mechanical Engineering and Automation,

North Eastern University,

Shenyang, China

monsigor @yahoo.com.cn

Guang yao ZHAO

School of Mechanical Engineering and Automation,

North Eastern University,

Shenyang, China

gyzhao @me.neu.edu.cn

Wei ZHOU LIxin Guo

Ministry of Communications Research Institute of Highway School of Mechanical Engineering and Automation Beijing North Eastern University,

zw5979@163.com Shenyang, China


Abstract—In this paper, a six degree of freedom half body vehicle suspension system is developed and the road roughness intensity is modeled as a filtered white noise stochastic process. Based on control theory, the fuzzy control system of the active suspension is established. With the aid of software Matlab/simulink, simulation process is done. Simulation results indicate that the proposed active suspension system proves to be effective in the vibration isolation of the suspension system. A mechanical dynamic model of the two degree of freedom quarter body of vehicle suspension system is

Keywords- suspension control; fuzzy logic; ADAMS; simulink Introduction Introduction (Heading 1)


Shape-based Interpolation of Grey-level Images

Qian Jin, Song Shuni,Wu Jian,Feng Nan,Shi Datao

College of science

Northeast University

Shen Yang

qian_jin2000@126.com, songsn@126.com


Abstract—The two given gray images are preprocessed, including filtering image processing, on the fault slice image binarization segmentation processing and image of the two distribution centers. Mathematical morphology is used to acquire the contour of the interpolated image. Then, the corresponding points are identified respectively in the two images through calculating the relation between the arbitrary point of contours and the focal point of the angle. If the grey value of both of the corresponding points are close to each other, linear interpolation is used to calculate the grey value of the interpolated point. But if the two corresponding points have distinct grey value, a method to calculate the interpolated point’s grey value is presented. Once all point’s grey value are acquired, the final interpolated image is accomplished. The experimental results show that this new method is effective.

Keywords- Image Interpolation, Mathematical Morphology, 3-D Reconstruction


Development of an Autonomous Control System for a Small Fixed Pitch Helicopter

Owen McAree, Jonathan Clarke, Wen-Hua Chen

Department of Aeronautical and Automotive Engineering,

Loughborough University,

Loughborough, United Kingdom

e-mail: {O.McAree, J.H.A.Clarke, W.Chen} @lboro.ac.uk


Abstract—The indoor test bed of the Autonomous Systems Laboratory has been used to create a control system for a small fixed pitch helicopter. This paper outlines the challenges posed by such a vehicle and the control system designed to overcome them. The control system utilized a visual tracking system to obtain state information without onboard hardware. Matlab/Simulink environment was used to facilitate rapid prototyping control development. An autopilot consisting of multi-channel PID controllers was implemented for flight tests. Failsafe strategies and gain scheduling were both investigated and implemented with the use of a graphical user interface. A number of flight tests were conducted and the results are provided. The future work of the laboratory is also covered.

Keywords-helicopter; autopilot; flight test; gain scheduling; tracking


A Novel Framework for Miscellaneous Data Aggregation

in Wireless Sensor Networks Paper Title


Feng TIAN, Er-qing XING, Chuan-yun Wang

College of Computer Science

Shenyang Institute of Aeronautical Engineering

Shenyang, China

{tianfeng5861,xingerqing,wangcy0301}@163.com


Abstract—considering the data-centric feature of wireless sensor networks and different data has the different requirement of real-time. A new data aggregation algorithm-Miscellaneous data aggregation algorithm based on timeliness of data in wireless sensor networks (MDA) is proposed. This algorithm can adaptability adjusts the data fusion strategy according to the results of the analysis of data time-lines in Application Layer. Moreover, AIDA Layer can dynamically control the degree of aggregation (DOA) in accordance with changing traffic conditions. According to theoretical analysis and calculation results, the algorithm can both satisfy the real-time requirement of different data and decrease the number of redundant data, save energy.

Keywords: WSNs; data aggregation; data timeliness; degree of aggregation; aggregation latency


Parallel Simulation of Large-scale Microscopic Traffic Networks

Wei Dai, Jiachen Zhang

Department of Computer Science and Technology

Jilin University

Changchun, China

david19842003@gmail.com, zhangjc@jlu.edu.cn


Dongliang Zhang

Department of Computer Science and Technology

Tongji University

Shanghai, China

zhangdongliang_cn@hotmail.com


Abstract—Microscopic traffic simulation is an effective way to analyze the feature and behavior of transportation systems. However performing microscopic simulations for large-scale networks remains a huge computing problem. Intensive computation characteristics displayed in traffic simulation can benefit from parallel, distributed processing. Based on simplified models, a MPI based distributed parallel traffic simulation system is implemented. And by applying monolateral communication strategy, a high performance is acquired.

Keywords-parallel simulation; traffic network; MPI; monolateral communication


Advanced Algorithms in Audio Steganography for Hiding Human Speech Signal


Dmitriy E. Skopin1, Ibrahim M. M. El-Emary2

1FET, Al'Balqa Applied University

Amman, Jordan

e-mail: m825453@yahoo.com

2Faculty of Information Technology, KAU

Jeddeh, Kingdom of Saudi Arabia

e-mail: omary57@hotmail.com


Rashad J. Rasras3, Ruba S. Diab4

3,4FET, Al'Balqa Applied University

Amman, Jordan

e-mail: rashad_ras@yahoo.com


Abstract— on a sociological level, having finally taken a foothold during the internet generation’s explosive growth of the 1990s, steganography serves as a means for private, secure and sometimes malicious communication. On a technical level in this thesis, we have proposed two methods of steganography: one of them is based on the technology of spectrum shift, when the distribution of human speech becomes located in unheard places of music spectrum. The second one is based on the technology of spectrum spreading when harmonics of human voice and music are mixed between each other then the Inverse Fourier transform is applied to form a new signal in time domain. Most important technical sound of this project is attempting to implement methods of analog audio steganography, which allow embedding human speech signal to the sound file

Keywords- Audio steganograph; speech signal; data hiding


Generalized Predictive Control Algorithm Applied to Thermal Power Units Based on PID Neural Network


Chunyan Du

College of Information Engineering

Inner Mongolia University of Technology

Huhhot, China

e-mail: dcy1096@yahoo.cn

Hujun Ling

College of Information Engineering

Inner Mongolia University of Technology

Huhhot, China

e-mail:1052117614@qq.com


Abstract—Large-scale Generating Unit in heat power is a system which is complex nonlinear, multivariable, time-variant with long-time delay and difficult to establish accurate model, and etc. So it is hard to make system gain optimum running effect with conventional control strategy. A PID network which has dynamic character is used to identify the coordinated control system for establishing a predictive model of generalized predictive control strategy. The Generalized predictive control strategy has some beneficial characteristics such as wide application and strong robustness. It achieves predictive control with online rolling optimization and real time feedback revision. The results of the emulation show the availability of it.

Keywords-pid neural network; generalized predictive control; thermal power unit


SAR Imagery Segmentation Based on Integrated Active Contour

Peng Rui-hui

Dept. of Weaponry Engineering

Naval Univ. of Engineering

Wuhan, Hubei, China

pengruihui@yahoo.cn

Wang Xiang-wei,LÜ Yong-sheng

The Fifth Research Institute

Second Artillery Equipment Academy Beijing, China


Wang Shu-zong

Dept. of Weaponry Engineering

Naval Univ. of Engineering

Wuhan, Hubei, China


Abstract—Image segmentation is an important problem on image processing technique. Based on active contour model, a novel integrated active contour (IAC) model for SAR imagery segmentation has been developed. In this model, the edge information is extracted by edge detection operators based on ratio of average framework, and the region statistical information is distilled by the maximization of likelihood function of different regions. And an unconditionally stable numerical scheme is used by means of additional operator splitting arithmetic. In the end, some segmentation tests have been done using MSTAR, Radarsat-2 and domestic spaceborne SAR images. Results show: proposed model has a good adaptability to complicated SAR images segmentation, and gives an accurate and fast partition for different regions in the images; implementing method is robust which is insensitive to parameters setting and initializations.

Keywords- synthetic aperture radar; image segmentation; edge detection; active contour


Research on Intelligent Hydraulic Impactor

System Based on Fuzzy Control

YANG Guoping

Automobile Engineering College

Shanghai University of Engineering Science

Shanghai, China

E-mail: ygpljyl@163.com

Abstract—A kind of intelligent hydraulic impactor is put forward, including its operating principle and the method to design the hydraulic control system, the hardware and software modules of the computer control system. In the light of the technology characteristics of the hydraulic impactor, the fuzzy control algorithm is given. The fuzzy controller and the experimental prototype are designed according to the fuzzy control strategy. By experiments, it’s proved that the intelligent hydraulic impactor can automatically regulate the impact frequency and impact energy to realize its intellectualized work according to the differences between physical properties of objects.

Keywords-Hydraulic impactor;Hydraulic control;Fuzzy conyrol


Advances in Research on Artificial Muscles Technology and Its Control Algorithm

Zhong Luo, Shuxian Yang, Dongyang Xue, Lina Hao and Hongyi Liu

School of Mechanical Engineering & Automation

Northeastern University

Shenyang, Liaoning Province, China

zhluo@mail.neu.edu.cn


Abstract—On the basis of results of previous studies, this paper overviews several kinds of typical artificial muscles’ structural principle, the technological study condition and application status in main fields,and classifies artificial muscles. This paper mainly summarizes domestic and foreign scholars’ research results on the control technology of artificial muscles, including neural network control, control, parameter self-adaptive control, variable structure control, single neuron self-adaptive PID control, pole-placement and adaptive digital control, two-layer sliding mode’ fuzzy variable structure control, fuzzy immune PD control algorithm with fixed gravity compensation and so on. Finally, it prospects the trend of research and development of artificial muscles.

Key words-artificial muscles; structural principle; Control Algorithm


Error Analysis of a Inverted Pendulum on an Inclined Rail

Zhong Luo, Zhiyong Shi, Peng Hu, Lina Hao and Hongyi Liu

School of Mechanical Engineering & Automation

Northeastern University

Shenyang, Liaoning Province, China

E-mail: zhluo@mail.neu.edu.cn


Abstract—According to inverted pendulum system control error, the method of error analysis and compensation is proposed, which establishes the structural model of inverted pendulum system, elaborates control principles of tilt inverted pendulum system, and studies error causes of inverted pendulum and inclination system error and dynamic error in the control process. But errors involving electric control system and model of inverted pendulum system are combined together to constitute composite error of tilt inverted pendulum system. The purpose of studying the relationship among composite error, motion parameters and structural parameters is to rediscover a solution to minimize composite error and to improve the accuracy and precision of control system provides theory basis. The simulation results reveal the necessity of optimal control error compensation of tilt inverted pendulum.

Keywords: tilt inverted pendulum, error analysis, compensation, simulation


Using Object-Orientation to Conceptualize an Adaptive Learning Content Management System Modeling


Moo-Chee Lee

Department of Industrial Engineering

Yuan Ze University

Taoyuan, Taiwan

ieychung@saturn.yzu.edu.tw

Yun-Kung Chung

Department of Industrial Engineering

Yuan Ze University

Taoyuan, Taiwan

ieychung@saturn.yzu.edu.tw


Abstract—A conceptual modeling of an adaptive or a flexible learning content management (LCM) system is an initialized step toward successful implement of a distance education system on Internet. Its aim is at planning and accomplishing the responsiveness to the learning content (re)configuration required for meeting the students’ learning goals. Since learning content is composed of the relative learning objects, their (re)configurations and reuses are essential to the construction (modification) of a new (existing) studying subject (content). The alternatives of appropriately aggregating a number of relative learning objects to structure the learning subject certainly is to the success of the LCM system implementation. This paper thus presents such a conceptualization that is able to model an adaptive LCM system by defining its learning object constituents as the respectively reusable active objects represented in the nature of the object-orientation (OO) software. The aspect of the proposed OO-based active objects instruments the modeling process of an adaptive LCM system.

Keywords-multimedia databas; distance learning; learning content managemen;, learning object; object-orientation.


Intelligent Control of Unified Power Flow Controller for Stability Enhancement of Transmission Systems


Manju P

Department of Electrical & Electronics Engineering

Sri Krishna College of Engineering & Technology

Coimbatore, India

e-mail: manjupresearch@gmail.com

Subbiah V

Department of Electrical & Electronics Engineering

Sri Krishna College of Engineering & Technology

Coimbatore, India

e-mail: subbiah42@yahoo.com


Abstract— To control the power flow, for increasing the transmission capacity and optimizing the stability of the power system, FACTS devices are used. One of the most widely used FACTS devices is Unified Power Flow Controller (UPFC). The controller used in the operation of UPFC has significant effect on power flow control and stability enhancement. Conventional PI regulators are generally used in the control of UPFC. This paper investigates control method, using fuzzy logic, for the unified power flow controller in order to improve the stability of a power system. FLC was developed by taking into consideration Mamdani inference system in the decision process and Mamdani’s Centroid method in the defuzzification process. Studies with different operating conditions are simulated to prove the ability of UPFC in controlling the power flow and the effectiveness of fuzzy controller in the performance of UPFC. MATLAB / Simulink is used to simulate the FLC and UPFC models.

Keywords–Fuzzy logic controller (FLC); Unified Power Flow Controller (UPFC); FACTS.


Image Denoising with Grouplet Transform

Jingwen Yan, Zhixi Wang, Longquan Dai, Daxiang Huang

Department of Electronic Engineering

Shantou University, Shantou

Guangdong, China

07zxwang1@stu.edu.cn


Abstract—Grouplet transform(GT) can take advantage of the image’s geometry structure since the bases of Grouplet can adapt the different geometry structure in different scales. The association fields that calculate by The Block Matching algorithm which cannot adaptive to different textures cannot follow the turbulent texture contained in an image. Grouplet transform based on Streamline (GTS) introduced streamline to improve the performance of represent of turbulent texture. The starting pixel selected for association fields pruning was arbitrary, and one flow will prune to several flows that would destroy the original texture decreased the performance of Grouplet Transform. This paper proposed an advanced grouplet transform (AGT) that make use of the advantage of Greedy algorithm and Dynamic Programming algorithm in association fields pruning to ensure association fields well suited of the image’s texture structure. Experimental results show that the performance of image denoising by AGT-threshold outperforms GT-threshold denoising method and GTS-threshold denoising method.

Keywords- Grouplet transform; Stream; Greedy algorithm; Dynamic programming algorithm.


Transverse Thickness Monitoring Strategy

Research of Cold Rolling Strip Based on Virtual Instrument

WANG Jin-song ,GAO Meng ,LI Hong

Liao Ning Technical University

LNTU

Fu Xin,China

e-mail: fuxinxx@sina.com

Abstract——Base on analysis of influence factor about strip’s convexity degree and transverse thickness, established online monitoring system of cold rolling strip’s thickness and convexity degree, to emulate by application of LabVIEW software, and compare with the practical situation, as result of it could mainly meet requirement of online virtual monitoring.

Keywords— Virtual Instrument; Strip Thickness; Online Monitoring;


Automated Incident Detection Algorithms for Urban Expressway


Guiyan Jiang*

State Key Laboratory of Automotive Dynamic Simulation, Jilin University

Changchun, china

e-mail: jianggy@jlu.edu.cn

Guiyan Jiang, Shifeng Niu , Qi Li, Ande chang, Hui Jiang

Transportation and Traffic College

Jilin University

Changchun, china

e-mail: nsf530@163.com


Abstract—In order to improve the efficiency of traffic management system, reduce the losses caused by traffic incidents, an algorithm for application in urban expressway incident detection is proposed based on the change trend of traffic parameters using gain methodology. The traffic data for research were obtained from a real section of urban expressway. It contains volume, speed and occupancy .The time scale of data is 20s, 1min and 5min. The performance of automatic incident detection (AID) algorithms was evaluated based on detection rate, false alarm rate, mean time difference between different algorithms, mean time difference between different times scale, robustness. The detection performance of the proposed algorithm was compared to California algorithm which has been adequately proven in practical applications. The experimental results indicate that the proposed algorithm is competitive with California algorithm using traffic data of three time scales, and the robustness of the proposed algorithm is very satisfactory.

Keywords-Urban expressway; gain methodology; lengthways time series of traffic parameters; Traffic incident


A Design of HDB3 CODEC Based on FPGA


Zhang Chang-sen

College of Computer Science & Technology

Henan Polytechnic University

JiaoZuo, China

e-mail: zhangchangsen@hpu.edu.cn

Xu Qi

College of Computer Science & Technology

Henan Polytechnic University

JiaoZuo, China

e-mail: xuqitongxin@163.com


Abstract—The basic principles and structure of HDB3 was briefly introduced in this paper, and the shortcomings of the existing HDB3 encoder and decoder was analyzed. Then a new design of HDB3 encoder and decoder based on FPGA was proposed, and the hardware design circuit and software simulation were introduced. The simulation was achieved through the VERILOG-HDL in EP2C35F672C8 chip of CycloneII series in the development environment of Quartus II 7.2. The results show that the design meets the requirements of HDB3 encoder and decoder, which has a simple hardware circuit and flexible software, and runs fast,and can be used in practical communication systems.

Keywords-FPGA;HDB3;Encoder and Decoder


Reliability Degree Estimation of Traffic Information Based on Floating Car


CHANG Ande, JIANG Guiyan

State Key Laboratory of Automotive Dynamic Simulation

Jilin University

Changchun, China

E-mail: changad09@mails.jlu.edu.cn

jianggy@jlu.edu.cn

CHANG Ande, JIANG Guiyan, NIU Shifeng

College of Transportation

Jilin University

Changchun, China

E-mail: changad09@mails.jlu.edu.cn

jianggy@jlu.edu.cn

nsf530@163.com


Abstract—According to the fact that the quality evaluation process of traffic information estimated by floating cars is neglected or on which models used are unreasonable in existing researches, which lead to blind application of traffic information for users, a method for estimating the reliability degree of traffic information based on floating car is designed considering sample sizes of floating car, and verified with simulated data based on part road network in Changchun, China. The results show that the reliability degree of traffic information based on floating car can be obtained reasonably and accurately using the method in this paper.

Keywords-traffic information collection; floating car, reliability degree; sample size


An Improved Software Reliability Model Incorporating Debugging Time Lag

Dong-Ping Wei, Lu-Lu Liu

College of Computer and Communication Engineering, China University of Petroleum

Dongying, Shandong Province, China, 257061

E-mail:weidp@upc.edu.cn, liull0215@yahoo.com.cn


Abstract-Software reliability growth models (SRGMs) based on the non-homogeneous Poisson process (NHPP) are quite successful tools that have been proposed to assess the software reliability. Most NHPP-SRGMs assume the detected faults are immediately corrected, but it is not the case in real environments. In this paper, incorporating the testing coverage, considering imperfect debugging and correcting time lag, we propose an improved NHPP-SRGM. Experimental results show that the proposed model fits the failure data quite well and has a fairly accurate prediction capability.

Key words: NHPP; testing coverage; time-delay; imperfect debugging


Analyze Long & Mid-term Trends of Stock with

Genetic Programming on Moving Average and

Turning Points

Erbo Zhao

Systems Science Department, Management School

Beijing Normal University

Beijing, China

erbozhao@mail.bnu.edu.cn

Zhangang Han

Systems Science Department, Management School

Beijing Normal University

Beijing, China

zhan@bnu.edu.cn


Abstract—This paper employs Genetic Programming (GP) with individuals of tree structure to form empirical formulas in order to track the dynamic pattern of the moving average curves of stock prices. We find that our method tracks the 60-day moving average better than other shorter period averages. In order to minimize the effects of noise and other random events impacting on the markets and maximize the effective information abstracted from the origin data, two comparable data preprocessing methods for turning points are proposed to cooperate with GP for more stable long & mid-term dynamic analysis and prediction. We use either discrete data with fixed time intervals as long as 120 days or data at local extreme by FFT. So, the formula finding system tracks the next turning point with the information of several previous turning points. Simulations show that our method to track and predict long & mid-term change trend of stock price is practical.

Keywords- Genetic Programming; Fitness function; Moving average; Fast Fourier Transformation (FFT) filtering


A new algorithm of face detection under strong light condition


Wei Pan

Information Engineering Institute

Capital Normal University

Beijing, China

bjpanwei@sohu.com

YiJia Huang

Information Engineering Institute

Capital Normal University

Beijing, China

jinhuapopo@sohu.com


Abstract—This paper discusses face detection algorithms based on different color spaces, and choose the YCbCr color space to detect human face. Then it provides a new face detection algorithm based on both face-color and hair-color space. It is an adaptive algorithm. Experiment results show that even under the strong light conditions, or the background color and face color is similar, the algorithm also can accurately detect a front or slightly sloping of the face.

Keywords- face detection; skin color model; hair color model


Traffic Organization Method for Emergency Evacuation Based on Information Centrality


Zhengyan Wu b, Guiyan Jiang a,b, Chunqin Zhangb, Yong-yong Tangb

a State Key Lab of Automotive Dynamic Simulation

College of Automobile, Jilin University

Changchun, China

jianggy@jlu.edu.cn

b Traffic Information Engineering and Control

College of Transportation, Jilin University

Changchun, China

wugeneral@126.com


Abstract—Large-scale natural or man-made disasters have the potential to cause great loss of life, human injury and extreme property damage. Evacuation from areas at risk is often one of the most feasible strategies that can be undertaken in response to these types of disasters. Evacuating a large population in the shortest possible time is an extremely complicated and difficult task, which primarily relies on efficient method of traffic organization for emergency evacuation corridors. This paper, on the foundation of efficiency and contingency, puts forward a novel method of emergency evacuation traffic organization using information centrality of complex network theory, the characteristic of which integrates a method of emergency evacuation corridors optimization and traffic organization method of emergency evacuation corridors. In addition, the efficiency function in information centrality has been improved. The experiment results show that the proposed method has rationality and feasibility.

Keywords: engineering of communications and transportation system; information centrality; emergency evacuation; traffic organization method


A Novel Algorithm for Image Space Resolution Enhancement


Liu Qing , Zhuang Jian, Wang Sun’an

School of Mechanical Engineering

Xi’an Jiaotong University

Xi’an, China

itcliuq@sohu.com


Abstract—Based on the balance theory of static electric field and CCD image forming features, the internal principle of image forming is analyzed. A new algorithm for image space resolution enhancement is presented. With this algorithm, the interpolation function can be adjusted automatically with electrical potential difference of the adjoining pixels and its energy zone, by means of which, the image can be magnified self-adaptively. Particularly, this algorithm takes into consideration of the effects of each color vector on image’s interpolation. Therefore, marginal vagueness, keystone distortion and distinct artifacts brought by traditional methods are overcome, and color distortion brought by separate disposal of the color individually is also mitigated. Gray image and color image are tested separately, and the test results show that with not only the image quality is improved, but also clear margin and contour information is kept with this algorithm.

Keywords-image enhancement; self-adjustment; electric potential energy; marginal vagueness; CCD imaging principle


An Improved Image Segmentation Algorithm Based on Boltzmann Theory and Its Parallel Computing Realization

Liu Qing , Zhuang Jian, Wang Sun’an

School of Mechanical Engineering

Xi’an Jiaotong University

Xi’an, China

itcliuq@sohu.com


Abstract—This paper deals with the improvement of free energy computing in segmentation algorithm according to the analysis of Image Segmentation Algorithm Based on Boltzmann Theory (ISABT) and a new one is proposed. It is proved by comparative experiments that performance indexes of the new algorithm are considerably improved. The parallel processing method of the algorithm which is applied to multi-processors is presented for solving the real-time problem, and then its feasibility is verified by experiments. The experiment shows that the improved ISABT with rapid parallel image processing greatly enhances the speed of segmentation with its segmentation effect assured. Compared with the original algorithm, the new one may reach a speed of 20ms/F for 480×320 image on the processing platform including eight pieces of TMS320DM642, and it basically meets the real-time requirement for robot visual processing.

Keywords- image enhancement; Boltzmann theory ; DSP; parallel computing; robot vision


The study of geospatial data extraction based on MicroStation

Zhu Ruia,b , Sun Quna, Xiao Qianga, An Xiao-yaa, Zhou Binc

aInstitute of Surveying and Mapping ,Information Engineering University,ZhengZhou, China

b61512 Troops, Beijing, China

cInformation Engineering University,ZhengZhou, China

E-mail: zhoubin@china.com


Abstract—Geospatial data extraction, which extracts geometric information and attributes information from the graphical data file, attributes database to binary point,line, surface storage format to form an intermediate file. According to the software demand the middle point of the document line elements are separated and stored in accordance, then the elements are placed in corresponding layers. In essence, geospatial data extraction is actually the inverse process for geospatial data symbolization. In the digital map production, it both meet the needs of hard-copy map (such as map printing, plotter output etc.), but also meet the geospatial geographic data warehousing, data format conversion and other demands. The realization of geospatial data extraction in MicroStation is analyzed and the implement methods are given in this paper.

Keywords- geospatial data extraction; MicroStation; DGN


Model Control and Transition of Residual-Affected HCCI Engines by electro-hydraulic Valve Actuation System

Gao Fengjun, Guo Yingnan*, Liu Fafa, Pan Xixi,Wang Kaiyou,Ji Honggang

State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun, 130022, China


Abstract—Since the homogeneous charge compression ignition (HCCI or CAI) was put forward, different manners were adopted to realize HCCI combustion with gasoline and ethanol. However, each combustion mode could only work in a narrow operation region. In order to put the HCCI modes into practice, the researchers suggested that the engine operated in more different HCCI modes and operated in conventional combustion mode (SI、CI) in others operation conditions, which was called hybrid combustion mode engine. In this paper, HCCI combustion was achieved in a modified single cylinder mass production engine through preheating the intake charge and trapping residual gases. Three modes of trapping residual gases were realized by a newly developed full variable valve timing system controlled by electronic system. The transition smoothness was improved by applying the strategy in which the fuelling consumption was compensated. Due to the cycle-synchronous control of valve timings, injection and ignition offered by the control system, transitions between the HCCI modes and SI operating mode can be realized without misfire or negative torque response. In order to control the HCCI combustion modes, the internal EGR strategies were studied by GT-POWER coupled with CHEMKIN.

Index Terms—combustion mode transition, homogeneous charge compression ignition (HCCI), spark ignition (SI), fast thermal management system (FTMS), EGR (key words)


A Dual Channel Routing Scheme in MANET Networks


Qinghui Wang

School of information engineering

Shenyang institute of chemical technology

Shenyang, P.R.China

Wangqh8008@vip.sina.com

Ansong Feng

School of information engineering

Shenyang institute of chemical technology

Shenyang, P.R.China

Fengansong@sina.com


Abstract—In QoS routing for wired networks, multiple path routing is popularly used. Because of excessive routing overhead, algorithms are not well suited for MANET networks. The IEEE 802.3 DCF standard allows for the use of multiple channels available at the physical layer, by improving the capacity of MANET networks by using multiple channel interfaces, a dual channel routing (DCR) scheme is introduced that proactively maintains all nodes’ location information based on periodic exchanges of these information in one channel. The location advertisements are distributed to all nodes in the network. The resulting replicated distributed database represents the entire network topology. Every node uses this connectivity map to calculate the shortest path to every other node. Then, source transmits data packet in another channel. This traffic distribution efficiently utilizes available network resources and prevents nodes of the route from being congested in heavily loaded traffic situations. DCR is a hybrid proactive/reactive scheme. Because there is no interference between two channels, the results of simulation show that the scheme can improve networks performance.

Keywords:MANET; dual channel; multipath routing


Research of Compensation Algorithm for Network Time-Delay Based on

Multi-Model Switch


Weiguo Shi[1,2]

1School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning, China

2School College of Electrical and Information, Dalian Jiaotong University, Dalian, Liaoning, China

Cheng Shao [1]

1School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning, China

E-mail:cshao@dlut.edu.cn

E-mail: swg@djtu.edu.cn


Abstract—In the network control system (NCS), stochastic network time-delay makes the system performance reduction and even instability. For the issue of compensation for network time-delay, this paper launced a switching control strategy based on the building of switching model of the NCS, which means to switch to a different controller according to the different intervals where network time-delay fall into. When the time-delay is less than a sampling period, the LQG of optimum control algorithm should be used with its good real-time. On the contrary, when the time-delay is larger than a sampling period, an improved and rapid GPC algorithm is pointed out. Finally, simulation result shows that this method has a good compensation effect to the network time-delay and has a very good real-time performance.

Key words—network control system, delay compensation,

switch control, multi-model


Fluid Model Driven by an M/M/1 Queue with Multiple Exponential Vacations


Fuwei Wang1, Bingwei Mao1,2 Naishuo Tian2

1 College of Information Science and Engineering

Yanshan University

Qinhuangdao 066004, China

e-mail: mbw@ysu.edu.cn

2 College of Sciences, Yanshan University

Qinhuangdao 066004, China

e-mail: tiannsh@ysu.edu.cn


Abstract—This paper studies a fluid model driven by an M/M/1 queue with multiple exponential vacations. The Laplace transform of the steady-state distribution of the buffer content is expressed through the minimal positive solution to a crucial quadratic equation. Then the performance measure—mean buffer content is obtained. Finally, using some numerical examples, we present the parameter effect on the mean buffer content.

Keywords-Fluid queue; M/M/1 vacation queue; Buffer content; Laplace transform


Morphology and Auto –Correlation Based Method of Fast Locating Vehicle License Plate


Wei Pan

Information Engineering Institute

Capital Normal University

Beijing, China

bjpanwei@sohu.com

Rong An

Information Engineering Institute

Capital Normal University

Beijing, China

ann_shinning@163.com


Abstract— A novel locating vehicle license plate (VLP) method is proposed in this paper. Firstly, preprocessing is used on the license image. Then a series of morphological operations are used to extract important contrast features to find out all license plates candidates. As a result of the noise, more than one candidate will be extracted after the morphological operations, so the auto –correlation based verification method is applied. Experimental results show that the proposed method is very robust and effective for locating vehicle plate.

Keywords-license plate recognition; license plate location,;morphology; auto –correlation


Human Computer Interaction for the Disabled with Upper Limbs Amputation

Guoqing Xu1,2, Yangsheng Wang1, Xiufeng Zhang3

1. Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China

2. School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430074, China

3. National Research Center for Rehabilitation Technical Aids, Beijing 100721, P.R. China

Email: guoqing.xu@ia.ac.cn


Abstract—A robust human-computer interaction is proposed. Through robust facial features location and tracking, the disabled with upper limbs motion impairments, e.g. amputation can easily operate computer. It has the following contributions. (1)The work is based on common camera instead of infrared device. Therefore, the cost is low. (2)The enhancement facial motion detection based on local area is presented to simulate the mouse click events. (3)A trajectory smoothing algorithm is proposed, which can improve the accuracy and stability of the facial motion tracking. Experiments show it can robustly track the facial movement under the background and illumination variation. It can also effectively detect the facial expressions.

Keywords-pattern recognition, face detection, human computer interaction


Particle Swarm Optimization algorithm Based on Variable Metric Method and its application of non-linear equations*

GAO Lei-fu, Qi Wei , LIU Xu-wang

(Institute of Mathematics and Systems Science, Liaoning Technical University, Liaoning,Fuxin,123000)

e-mail:qiwei1119@163.com

Abstract—In this paper, particle swarm optimization algorithm based on variable metric method is proposed for the defects of elementary particle swarm optimization algorithm "premature" and the parameter setting. The algorithm uses fast local convergence characteristics of the variable metric method, so that the improved algorithm can jump out of local optimal solution effectively, and can also search the global optimal solution quickly. Simulation results show that the new algorithm improves the accuracy of the optimal solution and optimization efficiency; also demonstrate that the new algorithm has better robustness, and then the improved algorithm is successfully applied to solve the problem of nonlinear equations.

Keywords-Global Optimization;Particle swarm optimization algorithm; variable metric algorithm; nonlinear equations


An Improved Control Method Based on PID Algorithm

Du Jingqing, Gao Shiqiao, Yao fenglin, Luo Chuang, Liu Haipeng

State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China

dujingqing@126.com


Abstract—Based on the PID(Proportional-Integral-Differential) control algorithm, by analyzing the control system with control variable varying in the form of arbitrary function, a simple control method with control variable varying in the form of arbitrary function was presented, i.e. PID control algorithm with set value which is constant in small zone. The paper introduced the mathematical model and the parameter tuning method of the PID control algorithm briefly, analyzed and the selection principle of the parameters of the advance control, lag control, ideal control. And used the MATLAB to simulate and verify this algorithm, the simulation results are satisfactory. Tests were carried out on different equipments and in different experimental conditions; results of the experiment are successful. Then this method is applied to the practical engineering practice, proves that it makes remarkable effects on the practical utilization.

Keywords- PID algorithm;function;control algorithm;control quantum;MATLAB simulation


A High-Efficiency Cross-Coupled Charge Pump for Flash Memories


^ YI-RAN WANG 1

College of Information Engineering,

Jiangnan University,

Wuxi, Jiangsu, 214122, P. R. China

E-mail: yiran-wang58@163.com

ZONG-GUANG YU 2

The 58th Institute,

China Electronics Technology Group Corporation,

Wuxi, Jiangsu, 214061, P. R. China

E-mail: yuzg58@sina.com


Abstract—This paper presents a new cross-coupled charge pump structure which generates 2Vdd output and applies to flash memory. Compared with conventional structures, the novel scheme has lower ripple voltage, and higher efficiency. These advantages were achieved by employing the methods of reducing power loss effectively. The proposed charge pump was fabricated with TSMC 0.18μm CMOS process. By the simulation of HSPICE, it shows that the new scheme could operate at a supply voltage as low as 0.9V with the maximum efficiency of 91.82%.

Keywords- charge pump; power loss; efficiency; flash memory.


A new method of vehicle license plate location under complex scenes


Wei Pan

Information Engineering Institute

Capital Normal University

Beijing, China

bjpanwei@sohu.com

Nafei Yang

Information Engineering Institute

Capital Normal University

Beijing, China

hedyang@126.com


Abstract—Vehicle license plate location is an important part of a license plate recognition system. This paper proposed a new location method for plate under complex scenes based on horizontal gradient and morphological operation. Firstly, horizontal gradient image was obtained by horizontal difference on the grayscale image. Secondly, an adaptive threshold proposed in this paper was used to segment the gradient image. Then, the candidate vehicle license plates were detected by morphological and region operations. Finally, the result of the license plate location was decided by candidate plates searching according to the features of the plate region. The experiments on 191 vehicle images that were taken under different illumination, weather and distance conditions show that the efficiency of the proposed algorithm is 96.34%.

Keywords-horizontal gradient; adaptive threshold; morphology; region operation


An Improved SAR Image Speckle Filter


LI Zhuang

College of Aerospace and Material Engineering

National University of Defense Technology

Changsha, China

Lizhuang2007@hotmail.com

WANG Kun-peng

College of Aerospace and Material Engineering

National University of Defense Technology

Changsha, China

wangkunpeng@yeah.net


Abstract—An improved SAR image denoising method based on sigma filter was proposed here. Firstly, we analyzed the traditional sigma filter and showed its weakness in removing complex noise while maintaining sharpness of edges. Secondly, the sigma filter was modified to accommodate to image with complex noise. Then, to maintain the sharpness of weak edges, we put forward a new method named grey center offset sigma filter (GCOSF). In GCOSF, canny detector is utilized to detect regions containing edges. We adopt grey center offset value instead of center value to calculate filtering result. Last, experimental results demonstrate that the GCOSF performs better than traditional sigma filter and several other filters by considering the effect of noise removing and edge keeping simultaneously.

Keywords- SAR image; sigma filter;grey center offset;complex noise;weak edge; edge preserving


Monocular Computer Vision Image Calibration Method and Its Application


Jun Liu1,2, Dingguo Li2, Zhenwei Hu1, Zhi Xie1

(1.School of Information Science and Engineering, Northeastern University, Shenyang, China; 2.School of Nuclear Engineering and Technology, East China Institute of Technology, Fuzhou, China; Email:jun_liu_2003@163.com)


Abstract—Big error of locating control points of anamorphic vision image calibration cause it difficult to calibrate of dynamic image automatically and accurately. Accordingly, a new calibrating method based on pattern matching is put forward. It locates the control points accurately; and builds the polynomial modeling of the anamorphic image, chooses the optimum polynomial order and calibrates the image distortion with bilinear interpolation. Apply the calibrating method to steel level measurement in continuous casting tundish base on compute vision; the method achieves quick and accurate calibration of image in steel level measurement. The results show that the error between measuring and real steel level is about 20mm before calibration; then it comes to 0.6mm after calibration. It provides an important link of image preprocessing to monocular computer vision measuring system.

Keywords-image distortion; pattern matching; control point; calibration; steel level measurement


Optimized Design of Responsive Reconnaissance Satellite Constellation with Hierarchical Genetic Algorithm


WU Yu-fei , LIAO Yu-rong ,WANG Dan

The Academy of Equipment Command & Technology,

Beijing, China

E-mail:arcsinsusanwyf@163.com, arccosangelina@hotmail.com


Abstract—The mission requirements are analyzed and the optimization model of responsive satellite constellation design which can simultaneously optimize constellation structure and orbit parameters is built. As the number of variables involved in the model is large, classical genetic algorithms will have difficulty in obtaining satisfying results in acceptable time. The hierarchical genetic algorithm is designed to resolve the optimization model. The mutation operators and the crossover operators of the ground layer genetic algorithm are modified. The model and algorithms are validated through a numerical example.


Keywords-genetic algorithm; satellite constellation optimization; arithmetic operators


An Edge-preserving Fourth Order PDE Method For Image Denoising

Bibo lu

School of Computer Science and Technology

Henan Polytechnic University

Jiaozuo, China. 454000

e-mail:lubibojz@gmail,com

Qiang Liu

College of Mathematics and computational science

Shenzhen University

Shenzhen, China. 518060


Abstract —This paper presents an edge-preserving fourth order partial differential equation (PDE) method for image denoising. This method can preserve edges and avoid the staircase effect. The proposed fourth order model contains a function of gradient norm as an edge detector, which controls the diffusion speed according to the local structure of the image and preserves more details. Denoising results are given and we also compare our method with some related PDE

models.

Keywords--edge-preserving; diffusion filter; staircase effect; fourth order


Analysis of response abilities of fuzzy systems

based on non-singleton fuzzifier method


De-Gang Wang

School of Electronic and Information Engineering

Dalian University of Technology

Dalian, P. R. China

e-mail: wdg0621@sina.com

Wen-Yan Song

Department of Quantitative Economics

Dongbei University of Finance and Economics

Dalian, P. R. China

Xue-Hai Yuan

School of Electronic and Information Engineering

Dalian University of Technology

Dalian, P. R. China

Hong-Xing Li

School of Electronic and Information Engineering

Dalian University of Technology

Dalian, P. R. China


Abstract—The response properties of fuzzy systems generalized by non-singleton fuzzifier method are discussed. Firstly, the fuzzy system with non-singleton fuzzifier, CRI method and centroid defuzzifier is discussed. A sufficient and necessary condition of the corresponding fuzzy system possessing interpolation properties is deduced. Furthermore, some sufficient conditions of fuzzy system possessing fitted properties are obtained. Then, fuzzy system with non-singleton fuzzifier, triple I method and centroid defuzzifier is studied. It is proved that fuzzy system with non-singleton fuzzifier, regular implication and triple I method is equivalent to Mamdani fuzzy system. And it also possesses interpolation properties. At last, a simulation result is provided to illustrate the validity of the conclusion.

Keywords-fuzzy system; non-singleton fuzzifier; CRI method; triple I method; response ability; universal approximators


Dynamic Hand Gesture Recognition Using Motion Trajectories and Key Frames


Tan Wenjun, Wu Chengdong, Zhao Shuying

School of information science and engineering

Northeastern university

Shenyang, China,110004

Jun1983@163.com

Jiang Li

School of information science and engineering

Heilongjiang bayi agricultural university

Daqing, China

sili1982jl@126.com


Abstract—In this paper, we address the problem of dynamic hand gesture recognition from unaided video sequences. We present a novel approach based on motion trajectories of hands and hand shapes of the key frames. Firstly, the hand area is segmented by active skin color model. Then the hand motion trajectories are extracted with dynamic time warping(DTW) algorithm and the key frame of video sequences is computed by frames difference. The hand gesture of the key frame is considered as a static hand gesture. The feature of hand shape is represented with Fourier descriptor and recognized by neural network. The combined method of the motion trajectories and key frame is presented to recognize the dynamic hand gesture from unaided video sequences. Experimental results show that the proposed approach is capable of effectively recognizing the dynamic hand gesture.

Keywords-dynamic hand gesture; dynamic time warping; shape descriptor; key frame


An Energy-Effective Clustering Algorithm for Multilevel Energy Heterogeneous Wireless Sensor Networks


Zhong-Gao Sun 1, Zi-Wei Zheng 1,2, Shao-Hua Chen 1, Shao-Juan Xu 3

1 College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China

2 Nation Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

3 City Institute, Dalian University of Technology, Dalian 116600, China

sunzg98@sina.com, ziwei_zheng@yahoo.com.cn


Abstract—Clustering provides an effective way for data gathering in wireless sensor networks. In practice applications, either the difference of energy consumed by sensor nodes or node redeployment leads to the energy heterogeneous networks. This paper proposes a new distributed Low-Energy node Protection Time-driven Clustering algorithm (LEPTC) for heterogeneous wireless sensor networks, in which nodes are initialized with different energy levels. This new approach aims at guaranteeing more uniform energy consumption of the nodes and prolonging their lifetime. In LEPTC, cluster head selection is primarily based on the residual energy ratio between a node and its neighboring node with lowest energy. As a result, a node with higher residual energy around the low-energy node will produce a shorter time for cluster head competition and hence have more chance to become a cluster head. So LEPTC can better handle the heterogeneous energy capacities. Moreover, LEPTC adopts a multi-hop data transmission manner for the “forced cluster heads”. Simulation results show that LEPTC outperforms some existing clustering methods in terms of the network lifetime and the network data capacity in energy heterogeneous networks.

Keywords-wireless sensor networks; clustering; energy heterogeneous; network lifetime


Research of Intrusion Detection System Based on Vulnerability Scanner

Guangming Yang

Software College of Northeastern University

Shenyang, China

ygm5@hotmail.com

Dongming Chen

Software College of Northeastern University

Shenyang, China

chendm@mail.neu.edu.cn

Jian Xu

Software College of Northeastern University

Shenyang, China

neuxujian@hotmail.com

Zhiliang Zhu

Software College of Northeastern University

Shenyang, China

zzl@mail.neu.edu.cn


Abstract—Feature matching is an important way of network intrusion detection system. With the increasing of attack types, rule database becomes more and more larger and the course of matching also becomes increasingly complex, which makes IDS easily to lose packets. For the problem above, two kinds of signature customization methods which based on open ports and CVE number are designed in this paper. These methods integrate the IDS and vulnerability scanner, help the misuse NIDS to select appropriate signature for the protected host and eliminate unnecessary signature matching through not modifying too much programs and setting the values of NIDS. Some experiments have been done on testing the integrated system. The results show that IDS can reduce the detection rules, useless alerts and improve detection efficiency after customization signature.

Keywords: NIDS, vulnerability scanner, signature customization, CVE;


Fuzzy PID Controller Design For DILAG’s Frequency Stabilizing System


LIAO Dan and YANG Jian-qiang

College of Opto-electronics Science and Engineering

National University of Defence Technology

Changsha,, China

liao_1999@126.com

YUAN Bao-lun and RAO Gu-ying

College of Opto-electronics Science and Engineering

National University of Defence Technology

Changsha,, China

karlun@163.com


Abstract—The frequency stability is of great importance to DILAG’s performance. Based on physical principle of frequency stabilizing, a fuzzy PID controller is designed by combined fuzzy control with conventional PID control. Simulated and experimental results show that the fuzzy PID controller is superior to the conventional PID controller in dynamic steady performance, and the fuzzy PID controller features stronger null stability.

Keywords- DILAG; fuzzy PID control; null stability.


2009 Network Security Analysis in China Mainland


Feng Ding

School of Software

Dalian University of Technology,

Dalian City, China, 116620

dingff@gmail.com

Xin Ye

Institute of Information and Decision Technology

Dalian University of Technology,

Dalian City, China, 116024

yejstar@163.com


Abstract—The latest survey data about China network security were shown in this article. They revealed that the network security problems were becoming more serious in China. Computers affected and damaged by virus were very serious. Hackers had become one of the most dangerous threat. The security of the infrastructure of information service was challenged. Most of the Chinese Internet users did not believe its security. The main constraints of China's Internet security were put forward based on the analysis of the investigation result. And also the author talked about the measures should be taken to strengthen the network security of China.

Keywords-Network Security; China; Trojan; Hacker; Cybercrime


Adaptive Color Restoration and Luminance MSR Based Scheme for Image Enhancement


Junxuan Yan

College of Astronautics

Northwestern Polytechnical University

Xi’an, Shannxi, China

46949076@qq.com

Ke Zhang

College of Astronautics

Northwestern Polytechnical University

Xi’an, Shannxi, China


Abstract—A non-linear image enhancement algorithm called Adaptive Color Restoration and Luminance MSR Based Scheme for Image Enhancement (ACRL_MSR) is presented in this paper to improve the visual quality of color images under poor lighting condition. The Red, Green, Blue(R, G, B) color bands are enhanced by adjusting luminance which is automatically enhanced to a proper range based on Human Visual System (HVS) via the adaptive parameter. At the same time the percentage of R, G, B in three bands of the output images is almost as same as the original one to prevent color distortion. The color bands in dark/shadow zones are enhanced partly by luminance and partly by their original color values to make these areas more colorful and natural. The new algorithm is observed from the experiment results, which produces more natural and vivid color than those by MSRCR and LB_MSR.

Keywords- Image Enhancement; adaptive; vivid –color; HVS


Research of Multi-next Hop Routing Algorithm

Xing-ming Zhang, Jian-mei Huang , Xuan-yong Zhu, Wei Luo, Ming Tian

National Digital Switching System Engineering and Technological Research Center

Zhengzhou ,China

e-mail:hjm840131@163.com


Abstract—The traditional routing mechanism based on single path has become bottleneck which affects and restricts the performance of the whole network. Multi-next hop routing mechanism can implement packets forwarding in parallel, while preserves the best-effort model of the network layer. Multi-next hop technology can effectively ease the network congestion, increase resource utilization and enhance the network robustness. The paper makes a survey of the available multi-next hop routing algorithms,with the problem of the useless link between equidistant from the destination, an improved Multi-next Hop Routing mechanism based on Shortest Path searching Sequence Numbering(MHR-SPSN)is proposed. Results of the simulation analysis demonstrated the feasibility and efficiency of the presented method.

Keywords- Multi-next hop; routing algorithm; shortest path; sequence numbering; resource utilization


Improved Ant Colony optimization Algorithm and Its Application for Path Planning of Mobile Robot in 3-D Space


ZHAO Juan-ping

College Information Science and engineering of Northeastern University

College of Information engineering of Shenyang University of Chemical Technology

Shenyang, China

zjp020417@tom.com


GAO Xian-wen

College Information Science and engineering of Northeastern University

Shenyang, China

gaoxianwen@ice.neu.edu.cn

LIU Jin-gang

College Information Science and engineering of Northeastern University

Shenyang Xinghua Aero-Electric Appliances Company of Limited Liability

Shenyang, China

ljg8484@163.com

FU Xiu-hui

College Information Science and engineering of Northeastern University

Shenyang Institute of Automation Chinese Academy of Sciences

fuxh2000@yahoo.com.cn


Abstract—An improved ant colony algorithm, differential evolution chaos ant colony optimization (DEACO) algorithm, was proposed to plan an optimal collision-free path for mobile robot in 3-D environment. It utilized differential evolution algorithm to update pheromone and chaos disturbance factor was added when pheromone updates for possible stagnation phenomenon. So it enhances escaping capability of algorithm, avoids path-deadlock situations as well as improves the efficiency of planning optimal path. The simulation results indicated that the optimal path on which the robot moves can reach safely and can be rapidly obtained under 3-D space environment, the effect being very satisfactory.

Keywords-mobile robot; path planning; ant colony optimization algorithm; differential evolution; Chaos; sinulation.


Multi-next-hop Switching fabric and scheduling algorithm

Xiaoying Hou

Shuqiao Cheng

Tong Zhu

National Digital Switching System Engineering and Technological Research

Zhengzhou, China

E-mail:achehxy@126.com


Abstract—Traditional single next-hop routing has been unable to meet the needs of the increasing network applications。Based on multi-hop routing mechanism, this paper proposes a multi-output Switching fabric and dual pointer maximum-weight-first scheduling algorithm. On the basis of distinguish queuing, the algorithm uses dual pointers to schedule the single output and multi-output packets to achieving distributed scheduling and dynamic matching. Simulation results show that the switching fabric has better delay performance under multi-next-hop routing. The algorithm guarantees throughput and delay performance, meanwhile reducing implementation complexity and improving the processing speed of switching fabric.

Keywords-Multiple next-hop routing; Switching fabric; Scheduling Algorithm


A Routing Optimization Algorithm of Equal-Cost-Multi-Paths

Based on Link Criticality

Ming Tian, Ju-long Lan, Xuan-yong Zhu, Jian-mei Huang

National Digital Switching System Engineering Technical Researching Center,

Zhengzhou, China

tianming19841101@126.com


Abstract—To effectively avoid congestion and take full advantage of bandwidth inside a network, routing optimization is needed for path selection over a set of equal-cost-multi-paths. In this paper, a Link-Criticality-based ECMP routing optimization algorithm is proposed. As the traffic in the network overlaps on some links, LCER selects the path with least link average utilization and hops for the ECMPs. As compared with the existing traffic splitting algorithms, LCER provides a network-wide load balancing performance, no packets arrived out-of-order, and the lowest average end-to-end packet delays. Although additional expected bandwidth, based on measured daily traffic profiles or service-level agreements, is needed by LCER, we argued that the extra complexity incurred is marginal.

Keywords-Routing Optimization, ECMPs, Link Criticality


The Technique of reactive power compensation in the drill site power network


ZHANG Qi-zhi, HE Yu-yao,

1College of Marine

Northwestern Polytechnical University

Xi’an,China

e-mail: zhangqz@xsyu.edu.cn

LI Lin, Yan Hong-liang

Key Laboratory of Drilling Rigs Controlling Technique

Xi’an Shiyou University

Xi’an, China

e-mail: kjclilin@ xsyu.edu.cn


Abstract—This paper introduces the application of TCR dynamic reactive power compensation in the drill site power network. The basic principle and composition of TCR dynamic reactive power compensation device and its control system are also presented. The experimental results show that the application of device can improve power quality, raise the power factor, and reduce the voltage fluctuation. It is good to be applied widely.

Keywords-electric drilling rig; TCR; reactive power compensation; filter


Leader-follower Formation Control of Networked Spacecraft in Deep Space

Nan Wang

School of Aeronautic Science and Engineering,

Beijing University of Aeronautics and Astronautics

Beijing, China

e-mail:sheinenwang@gmail.com

Jieqiong Xu

School of Aeronautic Science and Engineering,

Beijing University of Aeronautics and Astronautics

Beijing, China

e-mail:clh4@163.com

Abstract— In this paper, we present a leader-follower formation control for six-degree-of-freedom (6-DOF) networked spacecraft flying in deep space. In this approach, a spacecraft was designated as the leader for all other spacecraft. The proposed control strategy allows each follower spacecraft to track its desired relative trajectory with respect to the leader. Simulation results validate the performance of the proposed controller.

Keywords:leader-follower; formation control;deep-space


Digital Detection and Control System for Ring Laser Gyro


1Yang Jianqiang 2Jia Xueqing 1Yuan Baolun

1College of Opto-electronics Science and Engineering, National University of Defense Technology, Changsha, China

2Division of Science and Research, National University of Defense Technology, Changsha, China

yjqyjq_yjq@163.com


Abstract – The detection and control system is an important part of ring laser gyro (RLG) to process the signals by electronics. To overcome shortcomings of the traditional analog circuits, this paper puts forward a set of digital detection and control system. Based on the DSP TMS320F2812 and the necessary analog interface including acquisition circuits and driving circuits for the specific physics parameters of RLG, the hardware structure is built up. Adopting the fuzzy PID algorithm and wrong state detection service, the software flow is given in detail. Experiments are carried out to test the performance of the system. The results show the precision of power voltage, power current, light intensity and gyro drift can reach , , and respectively, indicating that the digital system has better performance than analog circuits, which will do a lot of good to RLG application.


Keywords-Ring laser gyro; digital detection and control system; Hardware structure; Software flow chart


The Compensation Methods of the Start-up Drift of

Four Frequency Differential Laser Gyro


1Yang Jianqiang 1Liao Dan 2Jin Xin 3Jia Xueqing

1College of Opto-electronics Science and Engineering, National University of Defense Technology, Changsha, China

2 91746 Troop, The people’s Liberation Army, Beijing, China

3 Division of Science and Research, National University of Defense Technology, Changsha, China

yjqyjq_yjq@163.com


Abstract - The start-up drift of four frequency differential laser gyro is of great importance in the fast launching occasions like missiles and fighter plane. This paper studies the characteristics of startup drift and presents two kinds of compensation methods. Based on the traditional mathematic model in terms of temperature, temperature changing rate and temperature gradient, the software compensation is done with the drift data. From the analysis of the physics mechanism of start-up drift, the hardware compensation is realized by adopting the corresponding technologies to control the specific physics parameters’ thermal changes which directly cause the start-up drift. Experiments show that software compensation is of little use while hardware compensation is more suitable and effective.


Keywords-Four frequency differential laser gyro; Start-up drift; Software compensation; Hardware compensation


Research of Path Planning for Mobile Robot based on Improved Ant Colony Optimization Algorithm


ZHAO Juan-ping

College of Information engineering of Shenyang University of Chemical Technology

Shenyang, China

College Information Science and engineering of Northeastern University

zjp020417@163.com

GAO Xian-wen

College Information Science and engineering of Northeastern University

Shenyang, China

gaoxianwen@ice.neu.edu.cn

LIU Jin-gang

Shenyang Xinghua Aero-Electric Appliances Company of Limited Liability

Shenyang, China

ljg8484@163.com

CHEN Ying-qiao

College Information Science and engineering of Northeastern University

Shenyang, China

lovechenyingqiao@163.com


Abstract—The paper proposes an improved ant colony optimization algorithm. This method first designs two fuzzy controllers to optimize three parameters . Then it establishes a dynamic searching window for ants and chaos information are added when near-neighbour city table is constituted in order to increase research speed in initial stages of algorithm. In addition, the concept of active degree of city node is presented as future information to supervise ants to construct solution and update pheromone. Finally a new evaluation criterion is produced to distinguish where paths are excellent or not. So the strategy not only conquers the weakness of easily running into local optimization while making route optimization, but also enhances efficient convergence of ant colony optimization algorithm. Results of large numbers of computer simulations demonstrate that this novel algorithm can plan optimal path rapidly in intricate three dimension (3-D) environment.

Keywords- Mobile Robot;Path Planning;Ant Colony Optimization Algorithm;Fuzzy Control;Dynamic Window;Parameters Optimization


ARDC: An Adaptive File Replication Method based on Dynamic Community

in Peer-to-Peer Networks

Yan Gong, Fangchun Yang, Sen Su, Guangwei Zhang, and Tianping Shuai

State Key Laboratory of Networking and Switching Technology,

Beijing University of Posts and Telecommunications,

Beijing, China

{gongyan, fcyang, susen}@bupt.edu.cn, ezhang@263.net, shuaitp@gmail.com


Abstract—In a peer-to-peer network, file replication technology is widely used to reduce hot spots and improve search performance. Most current file replication methods replicate files in all nodes or two endpoints on a client-server query path. However, these methods either have low effectiveness or come at a cost of high overhead. This paper presents an adaptive file replication method based on dynamic community (ARDC) that addresses the issue of where replicas should be placed. Simulation results demonstrate the efficiency and effectiveness of ARDC in comparison with other approaches. It dramatically reduces the overhead of file replication, and yields significant improvements on the efficiency and effectiveness of file replication in terms of query efficiency, replica hit rate and overloaded nodes reduction.

Keywords-Peer-to-Peer network; dynamic community; file replication


Robust Control for Induction Motor with Rotor Field Oriented


You Jiang, Duan Xiaoli, Meng Fanrong

College of Automation

Harbin Engineering University

Harbin, China

e-mail: yj405@163.com


Abstract—H∞ robust control is employed to deal with parameters perturbation and external disturbance attenuation for an induction motor with rotor field oriented in this paper. Firstly, nonlinear compensation is introduced to realize dynamically input-output decoupling for induction motor with rotor field oriented to solve the problems that vector control of induction motor only realizes partial steady state decoupling, and its performance is liable to the influence of rotor resistance parameters perturbation. Then, based on the decoupling model research works are made to use H∞ robust state feedback to control an induction motor. Simulation result demonstrate the efficiency of the proposed method.

Keywords-induction motor; decoupling; H∞ control; vector control


Pocket PC based Multi-functions Digital Mapping System

ZHANG Yan,

College of Earth Science and Resources

Chang’an University

Xi’an, China

e-mail: zyzhangy@chd.edu.cn

XU Bin

College of Environ. Science and Engineering

Chang’an University

Xi’an, China

e-mail: xubin@chd.edu.cn

Abstract: The paper introduced the embedded programming technology and described the design of pocket-PC based multi-function digital mapping system. It also discussed some problems in the process of implementation of the system, including map display, GPS data acceptance and module communication etc. The system with basic real-time mapping functions is implemented using the embedded Visual C++. This paper analyzed the problem in the application of the system and provided related solutions.

Key words: pocket PC; embedded programming; GIS; GPS


Security Mechanism For Smart Distribution Grid

Using Ethernet Passive Optical Network


Sun Zhongwei, Huo Sitian, Ma Yaning, Sun Fengjie

School of Electrical and Electronic Engineering

North China Electric Power University

Beijing, China

zwsun@ncepu.edu.cn


Abstract—A reliable communication network constitutes the core of the smart distribution grid. This paper proposes a novel communication method for distribution automation using Ethernet Passive Optical Networks (EPON). Then, based on the proposed communication infrastructure, and using the identity-based cryptography (IBC), a secure communication system for smart distribution grid is presented, where the mutual device authentication between the OLT and the ONU is implemented.

Keywords- Smart distribution grid; Ethernet Passive Optical Networks (EPON); identity-based cryptography (IBC); mutual device authentication


Design for Self-Organizing Fuzzy Neural Networks Based on Adaptive Evolutionary Programming

LIU Fang

School of Electronic Information & Control Engineering, Beijing University of Technology

Beijing,China

Email: liufang@bjut.edu.cn

Abstract—A novel hybrid learning algorithm based on a evolutionary programming to design a growing fuzzy neural network, named self-organizing fuzzy neural network based on evolutionary programming, to implement Takagi-Sugeno(TS) type fuzzy models is proposed in this paper. construct and parameters of the fuzzy neural network is trained by evolutionary algorithms. Simulation results demonstrate that a compact and high performance fuzzy rule base can be constructed. Comprehensive comparisons with other approach show that the proposed approach is superior over other in terms of learning efficiency and performance.

Keywords: Fuzzy Neural Networks; evolutionary programming; fuzzy rule


A Modified Bidirectional Hidden Markov Model

and its Application in Protein Secondary Structure Prediction


Hamid Pezeshk , Sima Naghizadeh , Seyed Amir Malekpour , Changiz Eslahchi , Mehdi Sadeghi

School of Mathematics, Statistics and Computer Science and Center of Excellence in

Biomathematics, College of Science, University of Tehran, Tehran, Iran.

Department of Statistics, Tarbiat Modarres University, Tehran, Iran.

Faculty of Mathematics, Shahid Beheshti University, Tehran, Iran

Department of Biophysics, National Institute of Genetic Engineering and

Biotechnology, Tehran, Iran

School of Computer Science, Institute For Research in Fundamental Sciences (IPM)


Abstract

A hidden Markov model (HMM) is a statistical tool applied to model stochastic sequences. In an ordinary HMM a hidden Markov chain named, the chain of states emits a sequence of observations. In this model, given a state the emissions are assumed to be independent from each other. However several researchers have already studied the dependencies between emissions. In this paper a new approach for consideration of dependencies among emissions is presented. We start with the use of the information of the left hand side of any emission and introduce a new model. We then take the information of the right hand side of any emission into account.

Protein is one of the most important molecules in any living cells and the study of protein structure is very important in biology. Predicting the secondary structure of a protein is usually used for the 3D structure

-----------------------------------------------

Corresponding author


prediction of it which in turn helps to identify a protein structure in whole. In this paper we discuss a two-sided modified HMM considering some dependencies among emissions. This model construction seems to be reasonable and improves the precision of protein secondary structure prediction.


Key words: Hidden Markov Models, Protein Secondary Structure, Left-to-Right and Right-to-Left Dependency Model, Posterior Decoding, Viterbi Algorithm


A Sub-pixel Feature Extraction Method for CT Image Based on Zernike Moments

Yinghan Fang

Shenyang Ligong University

No. 6 Nan Ping Zhong Lu, Hun Nan Xin Qu,Shen Yang, Liao Ning.110159,China

fangyinghan@126.com

Huiming Xiao, Beilei Wang

Multimedia Medical Information Technology Laboratory, Northeastern University

Shenyang, China

mingming841223@163.com


Abstract—This paper will combine Sobel operator with Zernike moments operator to extract the sub-pixel edge feature for liver CT images. Sobel operator can effectively smooth the noise, provide more intact edge feature, then propose a limited non-optimal suppression improved method based on the Zernike moments. By a large number of experiments, improved method increases the accuracy of feature extraction, besides the speed of extraction is very fast.

Keyword: Sobel operator; Zernike moments; Sub-pixel; feature extraction;


A Chaos-based Encryption Algorithm for Industrial Design Images


Beilei Wang, Zhe Lin,Zhiliang Zhu

Multimedia Medical Information Technology Laboratory, Software College

P.O.Box 349#, Northeastern University, Shenyang 110004, China

wangbeilei_happy@163.com, m23linzhe@gmail.com, zzl@mail.neu.edu.cn,


Abstract—The focus of this paper is the security of industrial design images. An encryption algorithm, based on the Logistic and the Henon maps, is proposed. The algorithm aims to ensure the security of industrial design images, and uses chaotic iteration to generate the encryption keys, and then carries out the XOR and cyclic shift operations on the plain text to change the values of image pixels. The algorithm enhances the security of the algorithm in that secret keys in the encryption process are not only associated with the chaotic maps, but also to intermediate cipher text. In experiments, the corresponding results showed the proposed method is a promising scheme for image encryption in terms of robustness.

Keyword: industrial design images; Chaos-based; image encryption;


The Smoothing Noise Methods Based on Self-adaptive Filtering for Crop Leaf Image

Long Xin

Shenyang Ligong University

No. 6 Nan Ping Zhong Lu, Hun Nan Xin Qu,Shen Yang, Liao Ning.110159,China

xl_xinlong@sina.com


Abstract-This paper choose self-adaptive filtering method to smooth noise for the crop leaf image. This method adjusts the output of filter according to the local variance of the image, and store the edge, high-frequency detail of crop leaf image. The experiment indicates that it’s very convenient to calculate the filter parameters, and filter the image, that is no better than linear filters with needing more computing time.

Keywords:Crop leaf image;Smooth noise;Self-adaptive filtering;


Design of fuzzy immune control law for synchronization of discrete time-delay chaotic system

Ren Tao

Software College,

Northeastern University

Shenyang, China

Chinarentao@163.com


Hai Yu

Software College,

Northeastern University

Shenyang, China


Zhi-liang Zhu

Software College,

Northeastern University

Shenyang, China


Abstract— In this paper, we address a synchronization control algorithm for discrete time-delay chaotic system. A fuzzy immune PI controller is designed whose parameters can be tuned online. Furthermore, the algorithm can overcome the external disturbances effectively. Simulation results show the validity and robustness of the proposed nonlinear control law compared with the PSO-PID algorithm in [16].

Keywords- synchronization, discrete time-delay chaotic system, fuzzy immune control


Video Object Tracing Based on Particle Filter with Ant Colony Optimization


Zhou Hao Xuejie Zhang Pengfei Yu Haiyan Li

Information School of Yunnan University

Kunming China

zhouhao@ynu.edu.cn


Abstract— Classical particle filter needs large numbers of samples to properly approximate the posterior density of the state evolution. Furthermore, sample impoverishment is an inevitable problem, which is a key issue in the performance of a particle filter. In this paper, a particle filtering algorithm based on ant colony optimization (ACO) was proposed to enhance the performance of particle filter with small sample set. ACO algorithm optimized the sample set before re-sampling step. Target state estimation was computed according to the optimized samples. Ant colony algorithm can effectively eliminate particle degeneration and enhance its robustness. Experiment results demonstrate that the proposed algorithm effectively improved the efficiency of video object tracking system.

Keywords: ant colony optimization; particle filter; video tracking;


An Improved Related Degree Model

On Relationship of Regional Economic Development and Transportation Investment


CHENG Nan1,2

1School of Economics and Management,

Beijing Jiaotong University,

Beijing, China,100044;

2Institute of Transportation Engineering,

Tsinghua University, Beijing, China,100084

e-mail:chnnancy@126.com


LU Huapu, YU Xinxin, ZHAO Xiaoqiang

Institute of Transportation Engineering, Tsinghua University, Beijing, China,100084

e-mail: weixx03@mails.tsinghua.edu.cn


BIAN Changzhi

China Academy of Urban Planning & Design , Beijing 100044

e-mail:bianchangzhi@mail.tsinghua.edu.cn


Abstract— The study deals with the relationship of regional economic development and transportation investment. After a thorough review on traditional grey related degree models, an improved related degree model applying weighted geometry average method is proposed. The new model is used in analyzing the related degrees of five economic development factors and transportation investment in Yangtze River delta. Changing the weight, we can get different numerical results, which show the improved model is potential for practical applications.

Key words: related degree model, regional economic development, transportation investment


Development of a Humanoid Robot Platform

Chen Pei, Wang Sheng, Han Chao

School of Astronautics,

Beihang University

Beijing, China

Email: cjhien@sa.buaa.edu.cn


Abstract—This paper describes the design of a humanoid robot platform built for research purpose. A high performance micro signal architecture Blackfin processor is used as the center of the All-in-One hardware design. All of the accessories including video camera, audio mic, inertial measurement unit, wireless data adapter and servos are directly connected to the processor. The software architecture is designed in multi-layers to support both low level data stream and high level intelligent algorithm. A humanoid robot prototype is built based on the platform.


Keywords-humanoid robot; digital signal processor; embeded system;


An Improved Adaptive Support Vector Machine Algorithm with Combinational Fuzzy C-means Clustering


Jun Li

College of Computer Science, Sichuan University

Chengdu 610065, China

College of communication and engineering technology

Sichuan Agricultural University

Ya’an Sichuan 625014, China

ljun402@163.com

Zhiyu Yu

School of Electrical Engineering

Southwest Jiaotong University

Chengdu, Sichuan 610031, China

youzhiyu@hotmail.com


Abstract—In order to improve the training efficiency to the data set, an improved adaptive Support Vector Machine (SVM) algorithm with combinational Fuzzy C-means Clustering is proposed. With multi-layer fuzzy C-means clustering algorithm original data are pretreated to remove the training data, which has no contribution to the classification. The remaining data are used to complete the training work for SVM to obtain the optimal hyper-plane. Besides, the parameter adaptive optimization algorithm has both increased the flexibility of parameter selection for SVM and enhanced the convergence speed. In the end, derived from the comparison of testing performance using the data set from the database of Statlog, the experiment result indicates that the proposed algorithm can both shorten the training time and provides high accuracy and excellent generalization, also it can keep the distribution of original data set at the same time.


Keywords-Support Vector Machine; Fuzzy C-means Clustering; Statlog;


A new feature selection algorithm based

on Mutual Information with pairwise constraints


Song Jing, Yang Ming, Ji Genlin and Cai Wenbin

School of Computer Science and Technology, Nanjing Normal University Nanjing 210097, P.R.China

Jiangsu Research Center of Information Security & Privacy Technology, Nanjing 210097,P.R.China

songjing116@gmail.com


Abstract: Feature selection plays an important role in the area of machine learning. Class Label is often used as the supervised information for supervised feature selection algorithm while constraints are rarely used. So, an effective feature selection algorithm with pairwise constraints called Constraints Score was proposed. But its performance still is limited by neglecting the correlation between features. In this paper we improve this algorithm by considering the correlation between features and using SVM density estimation, mutual information to measure the correlation and further eliminate the feature redundancy. Experiments show the effectiveness of our improved algorithm.

Key words: semi-feature selection; mutual information; SVM density estimation


Study of The Data Compressing Method Based on Wavelet


Yilin Zhou

Institute of Automation and Electronic Engineering

Qingdao University of Science and Technology

Qingdao, China

e-mail: weiwei_bz@163.com


Guangfen Jia

Institute of Automation and Electronic Engineering

Qingdao University of Science and Technology

Qingdao, China

e-mail: weiwei_bz@163.com


Abstract—In order to realize real-time detection of pipeline defects, developed a set of ultrasonic detection system, System is mainly to complete the pipeline corrosion data collection, processing and storage, so it will generate a large number of ultrasound data, and take up storage space, In order to reduce the amount of data storage, in this paper, a method based on wavelet transform to achieve compression defect information, for active-duty maintenance and replacement of piping systems have some theoretical guidance to the meaning, while the remaining life of pipelines laid the foundation for the study.

Keywords-ultrasonic; detection; wavelet-theory; data compression


The Research and Development of OPC XML-DA Server

Based on Web Service Technology

Lu Huiming

Dept. Automation

North China Electric Power University, NCEPU

Beijing, China

luhuiming@ncepu.edu.cn

Yin Yao

Dept. Automation

North China Electric Power University, NCEPU

Beijing, China

yaoyaoyin@126.com


Abstract—Since OPC DA Server is base upon the technology of COM/DCOM, its technical defect has appeared prominently while exchange the data with each other between the Internet. Thus it’s important to lead out the technical advantage and the necessity of OPC XML-DA Server based on the Web Service technology. The exchange of plant data across networks has been facilitated, in the meanwhile, the Data Fusion between Management Information System and FCS has been promoted. This paper presents the scheme of a Middleware Server which is realized by mean of gSOAP Development Kit. The interface of the DA Server based on the technology of COM could be connected with Web Service Interface based on the technology of XML/SOAP. The experiment executed on two computers deployed in different networks justifies high efficiency and feasibility of OPC XML-DA Server in the communication.

Keywords—OPC XML-DA; XML; SOAP; Web Service


Research on Key Technology of the Address Space for OPC UA Server


Lu Huiming

Dept. Automation

North China Electric Power University, NCEPU

Beijing, China

luhuiming@ncepu.edu.cn

Yan Zhifeng

Dept. Automation

North China Electric Power University, NCEPU

Beijing, China

170769226@qq.com


Abstract—Due to a COM/DCOM component based technology; traditional OPC servers have technical defects on Web Data Exchange and Security Mechanisms, and highly rely on the Windows platform. This paper uses a new OPC Unified Architecture Specification to address the above issues, and integrates services of traditional OPC into one OPC server, which simplifies the function collaboration and enterprise deployment. By using code managed technology of Microsoft .Net and modular programming, the framework of OPC UA Server is constructed and the address space, security configuration and other basic modules are designed. Some classes such as the Node Manager, Data Manager, Browse Manager, Subscription Manager and View Manager of the address space are also developed for the server, with the Node and Reference technology of server’s address space. An independent function module for OPC UA address space is also proposed in this paper.

Keywords-OPC Sever; OPC Unified Architecture; OPC Address Space;


IPv4 Addressing Architecture in IPv6 Network


J. Gnana Jayanthi

Dept. of Computer Science

St.Joseph’s College

Tiruchirappalli, Tamilnadu, India-620 002.

jgnanamtcy@yahoo.com


S. Albert Rabara

Dept. of Computer Science

St. Joseph’s College

Tiruchirappalli, Tamilnadu, India-620 002.

a_rabara@yahoo.com


Abstract—In the Internet, nodes are identified using IP addresses that depend on their topological location. IPv4/IPv6 translation technology involves address mapping between IPv6 and IPv4 nodes and the methods used to translate protocols, where nodes are in their respective IP version of network. The various IPv4 addressing mechanisms and addressing architectures are studied. The detailed study reveals that IPv4 addressing mechanisms were proposed only when IPv4 node roams in IPv4 home network or IPv4 foreign network. The study clearly reveals that IPv4 addressing in IPv6 network is not considered. This paper points out the need of IPv4 addressing in IPv6 network and proposes a new addressing mechanism to obtain an IPv4 Care-of-Address in IPv6 network which is referred to as P46A. The paper also presents a clear implementation procedure in acquiring P46A and binding update registration with its Home Agent. In fact, this mechanism could be immediately deployed. The main objective of the proposed model is to permit IPv4 mobile users to roam freely in any network i.e., either into IPv6 based networks, be connected with internet and get serviced besides roaming in IPv4 network.


Keywords-IPv4 Addressing; IPv4 Addressing in IPv6 Network; IPv4 Mobile Users; IPv4 Care-of-Address; IPv4 CoA in IPv6 Network


The Barycenter’s Design and Service Sequence’s Evolution about Service-driven Self-adaptive Architecture-centric System

Baoxiang Cao Xiaona Xia Jiguo Yu

School of Computer Science, Qufu Normal University, RiZhao Shandong, 276826

bxcao@126.com


Abstract—Architecture-centric system is s self-adaptive goal’s implementation platform, requirement is processed as business services, which is the driven power, agent internetware is built as granularity service’s carrier, achieves autonomous barycenter model about architecture rules, completes its self-adaptive reasoning, in order to get services’ discovery and design. About flexible real-time business sequence’s logic, service agent’s decision-making cluster is the learning adjustment mechanism, which can finish implementation topology’s evolution of architecture-centric service.

Keywords-Architecture-centric; Self-adaptive; Service-driven; Internetware; Agent; Barycenter Model; Decision-making Cluster


A Text Classification Model Based on Training Sample Selection

and Feature Weight Adjustement


Xuezeng Pang

Department of Computer Science & Technology

Zhejiang University

Hangzhou, China


YixingLiao

Department of Computer Science & Technology

Zhejiang University

Hangzhou, China

Department of Information

Zhejiang University of Finance & Economics

Hangzhou, China


Abstract—A new text classification model based on training samples selection and feature weight adjustment is presented. First it computes representativeness score of samples so as to distinguish noise samples from original training samples. Then a feature weight adjustment taking inter-class distribution and intra-class distribution into consideration is used to further improve the performance of text classification. The presented text classification model is applied on Chinese text dataset provided by Fudan Database Center. The experiments show that the proposed model can improve the performance of text classification to some extent with fewer training samples and fewer feature dimensions.

Keywords-text classification;representativeness score;training dataset selection;feature weight adjustment


Identification and Control of Split-μ Road for Antilock Braking System


Yong Fang, Liang Chu, Wanfeng Sun, Mingli Shang, Feikun Zhou, Jianhua Guo

State key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun, 130025, P.R. China

fangyong_2000@163.com


Abstract—When braking on split-μ road, yaw moment and steering force of vehicle will be produced because the braking force is different for two side wheels. In order to deal with this problem, the modified independent control mode is widely applied, however, there also exits some defects. Because the gap of the adhensive coefficient of both sides is uncertain while braking, if the fixed modified coefficient is applied, it is difficult to keep vehicle direction stability and shorten the braking distance simultaneously under different gap former mentioned. This paper proposes a method named split-μ road identification. Compare the difference of slip integral of front wheels to threshold values during a certain pressure state in order to identify whether the vehicle brakes on split-μ road. According to the integral of slip from both side wheels and vehicle deceleration, the control mode dynamically changes the modified coefficients of pressure. Simulation results show that the algorithm can identify whether the vehicle is braking on split-μ road timely and also can identify the friction difference between the two sides accurately. The pressure regulation mode can regulate brake pressure appropriately and keep vehicle directional stability and shorten braking distance simultaneously.

Keywords-antilock braking system; identification; split-μ road; simulation.


The Design of Scene Simulation System Based on MFC

Programming Framework


Ziying Wang

Intelligent Robotics Institute, School of Mechatronical Engineering

Beijing Institute of Technology

Beijing, China

zgywzy@sina.com


Abstract—To improve maneuverability, dynamic configurability and functional integration level of scene simulation system, the method on how to integrate Vega Prime into MFC programming framework, and how to forward messages coming from windows of Vega Prime to message loop of application program based on MFC are proposed in this paper. Furthermore, switch for multiple scenes in a simulative system is introduced detailedly, and basic principle about how to design functional module based on MFC programming framework for configuring scene simulation system is analyzed. On the basis of above methods and object-oriented technology, scene simulation system is established. This designing method for scene simulation system has much advantage: scene simulation system has excellent extensibility; the structure of software is more simple and flexible; generality of this architecture of software is good. The effect is favourable in practical application.

Keywords-scene simulation; MFC; Vega Prime;simulative process;main control process


A Sine Decision Method of The Dynamic Multiple Indexes Based on Program Matrix


A

HU Qizhou

Institute of Transportation Engineering, Tsinghua University

Beijing , P. R. China 100084

qizhouhu@126.com

LU Huapu

Institute of Transportation Engineering, Tsinghua University

Beijing , P. R. China 100084

luhp@mails.tsinghua.edu.cn

CHENG Nan

Institute of Transportation Engineering, Tsinghua University

Beijing , P. R. China 100084

chnnancy@126.com


Abstract—In order to determine the weights coefficient of the attributes and the times in dynamic multi-attribute system, based on trigonometrically function, a sine method is presented in this paper. Based on alternative matrix, the developing property of each attribute on the system is fully considered. According to sine function value, a new method to the uncertain multi-attribute decision-making problem is proposed. At last, the method was applied to a benefit evaluation problem in urban public line network optimization, many alternatives are estimated and best alternative is selected. This method is simple and practical and the result is believable, so it has good applied future.

Keywords- multi-attribute decision-making; dynamic; alternative matrix; sine.


Blind Multiuser Detection Based on Improved Infomax and FastICA

Zhang Xuxiu

Qiu Tianshuang

School of Electric and Information

Dalian Jiaotong University

Dalian 116028 China

School of Electronics and Information

Dalian University of Technology

Dalian 116024 China

E-mail:zhangxuxiu@163.com


School of Electronics and Information

Dalian University of Technology

Dalian 116024 China

E-mail:qiutsh@dlut.edu.cn


Abstract—the capability of CDMA system is restricted by MAI and Near-far effect problems. Two blind multi-user detector algorithms based on Improved-Infomax and FastICA are proposed and compared in the paper, which could detect target user effectively. These two detectors solve the order indeterminacy of ICA problem by initiating the demix vector with the target user’s spreading codes sequence. Simulation results show that new detectors have good performances in BER(bit error rate), convergence speed and user capability by comparing with traditional method.

Key words:Multi-user detection; Multi- access interference; Infomax; FastICA


Research on Support Technology of Freeway Emergency Decision System


XIE Jun

Research Institute of Highway Ministry of Communication

Beijing, China

email: xiejunneimeng@126.com

WANG CHaoshen

College of Traffic and Transportation, Southwest Jiaotong University

CHengdu, China

email: pacific5241@126.com

Abstract


Aimed at the problem that freeway operational department can’t deal with emergency traffic accident appropriately, classes of traffic incident was proposed, combining with freeway traffic characteristics, main contents and support technology of freeway emergency decision system was set forth, including data warehouse design, model warehouse design, knowledge warehouse design, On-Line Analysis Processing, based on these technologies, combining with freeway operational system, freeway emergency decision process was put forward.


Keywords-traffic engineer; freeway; traffic accident; emergency decision system;


Fuzzy Pattern Recognition in Ultrasonic Image Diagnoses of Solid Rocket Motor


ZHONG Ji-tang

College of Mechanical Engineering & Automatization,

North University of China,

Taiyuan, China

jitangzh@sina.com

CAO Fu-qi

Air-to-Air Missiles Academe of China,

Luoyang, Henan, China

cfq0144@sohu.com


Abstract

Abstract—The fuzzy characteristic of adhesive quality is researched when multi-layered structure (steel shell, insulation layer, under layer and propellant )of the solid rocket motor is inspected in angle beam echo method by focused transducer. Fuzzy subordinate function model of the adhesive quality is set up based on the researches in theory and experiment. Sum up the multi-layer bonded structure fuzzy ultrasound image diagnosis methods and steps,Fuzzy image recognition on the adhesive quality of the each interface in solid rocket motor and is accomplished.


Key words-fuzzy pattern recognition; Ultrasonic Diagnoses Image; adhesive quality; solid rocket motor; multi-layer structure;


Optimizing T-S fuzzy modeling for performance improvement of Integrated GNSS /MEMS-IMU

Huang Xun Gao Qi-xiao

Electrical and Information Engineering College

Naval University of Engineering

Wuhan, China

e-mail: hobbery@163.com

Liu Ya-li

Department of Electrical

Naval petty officer

Bengbu, China

e-mail: leyoule@yahoo.com.cn


Abstract— Proposed a T-S Fuzzy to improve the performance of a integrated GNSS and MEMS-IMU which be used in a land vehicle. The T-S Fuzzy model is used to predict the position and velocity errors, inputs these errors to Kalman filter during GNSS signal outages. The performances of the model were simulated test and compared to the common Kalman filter. The results show the integrated system used the proposed model could keep significant accuracy during 20s GNSS signal outages.

Keywords-GNSS ; MEMS IMU ; T-S Fuzzy ;


Multi-agent Interactions Centric Virtual Battlefield Simulation Model


Hongwei An

Faculty of Science

Academy of Armored Force Engineering

Beijing, China

keny1003@163.com

Xiong Li, Xiuquan Xie

Department of Command and Administration

Academy of Armored Force Engineering

Beijing, China

lixiong2609@126.com


Abstract—Tactical warfare process, e.g., engagement between opposite forces, is full of unpredictability and platform-level interactions that result great difficulties in performing virtual battlefield simulation. In this paper, a novel approach, i.e., multi-agent interactions centric simulation is applied to solve the problem. Based on the analysis on the requirement and countermeasure, the mapping from tactical warfare system’s members, i.e., platform-level tactical battlefield entities, to respective intelligent agents is set up. Thus, the multi-agent interactions centric platform-level virtual battlefield simulation system and its agent model are designed. Tactical battlefield entity agent interactions model is presented to support multi-agent interactions centric simulation by using an improved Contract Net Protocol, where state transitions are studied to describe the interactions. The established demonstration system proves the feasibility and efficiency of our model, and shows its advantages in realizing real time platform-level computer simulation for military systems.

Keywords- military system simulation; agent; multi-agent system; interactions; virtual battlefield


The Design of Keyboard Based on AVR SCM


Liu Wei

1. Jilin Normal University,2. Jilin University

1. College of Information and Technology

2. School of Communication Engineering

1. Siping, China, 2.Changchun, China

E-mail: Lwzxm1020@126.com


Jiang Wenlong

Jilin Normal University

College of Information and Technology

Siping, China

E-mail:jiang_wl@163.com


Liu Peng

Jilin Normal University

College of Information Technology,

Siping, China

E-mail:Char0121@sina.com


Ren Tao

Northeastern University

Software College,

Shenyang, China

E-mail:Chinarentao@163.com


Abstract—This article described the keyboard development of AVR MCU system in detail. The keyboard mentioned in this scheme can be directly applied in single-chip based on AVR. It has wide range of applications. The article provides a schematic diagram of hardware and flow chart of software.

Keywords- keyboard; MCU ;Interface


Remote Control of Smart Household Based on DTMF


Liu Wei

1. Jilin Normal University,2. Jilin University

1. College of Information and Technology

2. School of Communication Engineering

1. Siping, China, 2.Changchun, China

E-mail: Lwzxm1020@126.com


Jiang Wenlong

Jilin Normal University

College of Information and Technology

Siping, China

E-mail:jiang_wl@163.com


Gao Yonghui

Jilin Normal University

College of Information and Technology

Siping, China

E-mail:gaobest1980@163.com


Ren Tao

Northeastern University

Software College

Shenyang, China

E-mail:chinarentao@163.com


Abstract—More and more smart systems have been used in modern household. This article mainly introduces the smart household control system realization procedure based on DTMF remote transmission. The system used AVR SCM to dispose and exchange information. We realized household appliances remote control by communication through mobile telephone and GSM card of the system host computer TC35i by DTMF signals. This method has a lot of advantage, such as easy operation, good practicability and wide appliance range etc. This article particularly narrated main functions and realization of hardware and software of the system.

Keywords-DTMF; SCM; TC35i system


Security on IPv6


Dequan Yang

School of Automation

Beijing Institute of Technology

5, Zhongguancun Nan Da Jie, Haidian District,

Beijing Institute of Technology Beijing, PRC, 100081

yangdequanlong@gmail.com Xu Song

School of computer and information engineering

Anyang Normal University

Avenue xuange, Anyang City,PRC,455002

ninth_day@yahoo.cn

Qiao Guo

School of Automation

Beijing Institute of Technology

5, Zhongguancun Nan Da Jie, Haidian District,

Beijing Institute of Technology Beijing, PRC, 100081

qguo@bit.edu.cn


Abstract—Fear of security breaches has been a major reason for the busniness world's reluctance to embrace the internet as a viable means of communication. This paper discusses the current security measures available for the IPv4 infrastructure. The paper is addressed to readers with a basic understanding of common security mechanisms including some kinds of attack and IPsec. The security of IP is important to the network. The paper analyses the prototypes of network attack, some possible means in IPv6 then presented. IPsec is a series of guideline for the protection of IP layer on the Internet. At the end , some kinds of attack are introduced under IPsec Mode.


Keywords:IPv6; IPsec; netsec;kinds of attack;


High performance Quantum Cryptography architectures in IEEE 802.11 WLAN


Hongyang Ma1,2

1 School of Sciences, Qingdao Technological University

2 Department of Computer Science, Ocean University of China

Qingdao,China

e-mail: hongyang_ma@yahoo.com.cn

Shumei Wang

School of Sciences, Qingdao Technological University

Qingdao,China

e-mail: qdshumeiwang@yahoo.com.cn


Abstract—Quantum Key Distribution (QKD) is an ingenious application of quantum mechanics in information field. Wireless Local Area Network (WLAN) is gaining popularity as they are fast, cost effective, flexible and easy to use. They are, however, faced with some serious security challenges and the choice of security protocol is a critical issue for IT. In this paper, it analyzes the IEEE 802.11i wireless networking amendment with respect to data confidentiality, integrity, mutual authentication and availability. It provides novel high-performance quantum cryptography architectures in IEEE 802.11 WLAN by establishing a quantum key over a long distance. The supplicant sends qubits to the authenticator server by sharing EPR. Compared with the classical network architecture, it is proved in theory that an eavesdropper (Eve) invariably introduces errors within communication network if it wants to gain useful information. Quantum cryptography guarantees the security of the network.

Keywords- quantum,network;EPR;WLAN;802.11i


Study on the Development Strategy of Information System on Internet


Xinsheng Ke

School of Economics and Management

Beijing Jiaotong University

Beijing, P.R.China

xske@bjtu.edu.cn


Abstract—Internet is used Universally and changes the habits of the customers. The application effects of the information systems are not good as expected in general and most of them can’t meet the demands of management and business of enterprises in the new century. This paper gives one careful analysis about the limitation and the current development situation of traditional information systems in China, and puts forward the development strategy of information systems on Internet .

Keywords- information system;strategy;B/S mode


Study on the Situation and Development mode of Ecommerce in China


Xinsheng Ke

School of Economics and Management

Beijing Jiaotong University

Beijing, P.R.China

xske@bjtu.edu.cn


Abstract—Ecommerce changes the habits of the customers in recent 10 years in China. Analyzing the ecommerce situation in China, this paper emphasizes that only Chinese enterprises develop individuated ecommerce considering their practice conditions can they fit the individuating trend of consumption and ecommerce, and puts forward the development mode of ecommerce in China.

Keywords-situation;development;mode;ecommerce


Comparative Study of Sugarcane Average Unit Yield Prediction With

Genetic BP Neural Network Algorithm


Yong-Chun Xu1 Shi-Quan Shen1

Department of Computer Science

Guangdong Polytechnic Institute

Guangzhou, P.R. China

e-mail: ycxu@gdrtvu.edu.cn

Zhen Chen2, *

College of Engineering

South China Agricultural University

Guangzhou, P.R. China

* Corresponding author, e-mail: zhenchenid@scau.edu.cn


Abstract—Because sugarcane average unit yield was affected by multiple factors in its growth and its inherent law was lack of external correlation data mining, the precise of the prediction method was low. Recently, the adaptive of modern intelligent genetic neural network algorithm for multi-factor effect has been strong, and the prediction accuracy has been high, but with which in sugarcane average unit yield prediction the researches are few. In this paper, based on the characteristics of external factor variable, the input multiple factors of sugar varieties, weather, etc. are optimized by multiple regression model, and the weight and threshold and the network structure of neural network model are optimized by the genetic model of SGA / IGA, etc., which improves the adaptive fitness of genetic BP neural network model. Moreover, an example comparison of this algorithm and the gray linear system, S-BP, SGA-BP, IGA-BP on sugarcane average unit yield prediction is made. The results show that the integrated prediction accuracy and effectiveness of the improved genetic BP (IGA-BP) algorithm model on sugarcane average unit yield is optimal. This research provides a means of accurate prediction for sugarcane market price in significant fluctuations.

Keywords- sugarcane; genetic BP neural network algorithm; average unit yield prediction; multiple regression model


A method of detecting and avoiding the Queensland attack based on the beacon interval

LIU Ying-hui1, 2, WANG Ying-long1, LV Jia-Liang1, Guo Qiang 1 and Wei Nuo1

1. Shandong Computer Science Center, Jinan Shandong 250014, China;2. School of Information Science and Engineer, Shandong University of Science and Technology, Qingdao Shandong 266510 China

yinghui130@gmail.com, wangyl@keylab.net,lvjl@keylab.net, guoq@keylab.net, wein@keylab.net

Abstract—Avoiding the DOS attack is crucial for wireless local area network (wireless LAN) in ensuring the wireless LAN to work normally. In this paper, a method of detecting and avoiding the Queensland attack is proposed. The method uses the change of the beacon interval to determine whether the attack occurred. Once the attack is detected, the method resets the working channel of the AP, and reboots it. The simulations show that the method is available in detecting and avoiding the Queensland attack.

Keywords: wireless LAN, Queensland attack, beacon interval, detection, avoidance


Eliminate False Peak of Burg Spectrum Estimation Based on EMD

XU Shuang

Faculty of Information Engineering and Automation Kunming University of Science and Technology

Kunming, China


QUAN Hai-yan

Faculty of Information Engineering and Automation Kunming University of Science and Technology

Kunming, China

quanhaiyan@163.com


LIU Zeng-li

Faculty of Information Engineering and Automation Kunming University of Science and Technology

Kunming, China

liuzengli@21cn.com


HOU Meng

Faculty of Information Engineering and Automation Kunming University of Science and Technology

Kunming, China


Abstract—First, the false peak of Burg Spectrum estimation is introduced. In this paper, a new method of eliminating false peak based on Empirical Mode Decomposition is proposed. Secondly, this new method is used in the Line spectrum analysis of ship radiated noise simulation signal. Compared with traditional Linear Spectrum analysis, it is a better method for signal analysis and processing. 

Keywords-Empirical Mode Decomposition(EMD); Power Spectrum Analysis ;Linear Spectrum; Radiated Noise


Optimization for PID Control Parameters on Hydraulic Servo Control System Based on Random Virus Algorithm


Youxin LUO

College of Mechanical Engineering

Hunan University of Arts and Science

Changde,415000, P.R.China

LLYX123@126.com

Zhaoguo CHEN

College of Mechanical Engineering

Hunan University of Arts and Science

Changde,415000, P.R.China

czg1961@163.com


Abstract—PID control is used widely in hydraulic servo control system. The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is very difficult problem. Based on Matlab/simulink software and taking the IATE standards of the optimization design as objective function, a global search optimization method, called the random virus algorithm was applied for the optimization of the three parameters of PID controller of electric-hydraulic servo system of 6-DOF parallel platform. Simulation results show that the proposed parameter optimum method is an effective tuning strategy and has good performance.

Keywords- Virus optimization algorithm; PID parameters tuning; Matlab/Simulink; electric-hydraulic servo system; 6-DOF parallel platform


Tuning PID Control Parameters on Hydraulic Servo Control System Based on Differential Evolution Algorithm


Youxin LUO

College of Mechanical Engineering

Hunan University of Arts and Science

Changde, 415000, P.R. China

LLYX123@126.com

Xiaoyi CHE

College of Mechanical Engineering

Hunan University of Arts and Science

Changde, 415000, P.R. China

xiaoyiche@126.com


Abstract—The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is very difficult problem. According to the search mechanism of differential evolution algorithm, differential evolution algorithm for tuning PID parameters was proposed. The algorithm program DEPID1.0 was developed. Based on Matlab/simulink software and taking the IATE standards of optimization design as objective function, the proposed method was applied for the optimization of the three parameters of PID controller of electric-hydraulic servo system of 6-DOF parallel platform. Simulation results show that the proposed parameter optimum method is an effective tuning strategy and has good performance.

Keywords- differential evolution(DE);PID parameters tuning; optimization; Matlab/Simulink; electric-hydraulic servo system


Cloning Particle Swarm Optimization with Hybrid Discrete Variables and its Application to Gear Reducer


Youxin LUO

College of Mechanical Engineering

Hunan University of Arts and Science

Changde,415000,P.R.China

LLYX123@126.com

Bin ZENG

College of Mechanical Engineering

Hunan University of Arts and Science Changde,415000,P.R.China

zengbin780923@sina.com


Abstract—During the iterative process of standard particle swarm optimization (PSO), the premature convergence of particles decreases the algorithm’s searching ability. Through analyzing the reason of particle premature convergence during the renewal process, introducing the updating strategy based on cloning technique, cloning particle swarm optimization (CPSO) algorithm with hybrid discrete variables model was proposed, and its program CPSO1.0 with Matlab software was developed. The updating strategy based on cloning algorithm makes the particles of cloning particle swarm optimization (CPSO) maintain the diversity during the iterative process, thus overcomes the defect of premature convergence. Example of gear reducer indicates that compared with the exiting algorithms, CPSO gets the best result, thus certify the improvement of the algorithm’s searching ability by cloning mechanism.

Keywords- Cloning particle swarm optimization; Cloning Algorithm; gear reducer;hybrid discrete variables


Distribution of Relations in Parallel Database based on PC Clusters


Xuan Ping

School of Computer Science and Technology ; Heilongjiang University

Harbin, China

xuanping@hit.edu.cn


Abstract—In parallel database system, optimizing distribution of relations could improve processing efficiency of multi-join queries greatly. The cost of data communication is expensive in parallel system based on PC clusters. This paper proposes distribution of relations algorithm to select an appropriate data placement strategy for each relation, which includes selection of distribution attributes and nodes. The algorithm could make best use of intra-operator parallelism, independent inter-operator parallelism and pipelined parallelism of PC clusters system. At the same time, it could reduce additional communication cost of data redistribution. The result of experiment indicates the algorithm has good performance and contributes to promoting execution efficiency of parallel multi-join queries.

Keywords-multi-join query; PC clusters; data redistribution; pipelined parallelism


No-wait Flow Shop Scheduling Based on Artificial Immune System


Xiaojuan ZHAO Jun TANG

Department of Information Engineering Department of Information Engineering

Hunan Urban Construction College Hunan Urban Construction College

Xiangtan, Hunan, 411101, China Xiangtan, Hunan, 411101, China

xttangjun@163.com xtzhaoxiaojuan@163.com


Abstract - M-machine no-wait flow shop (NWFSS) problem is a NP-complete problem, and a novel approach to solve this type problem is presented in this paper. A continuous flow shop problem with total flow time as criterion is considered. This paper extends the artificial immune system (AIS) approach by proposing a new methodology termed as Psycho-Clonal algorithm. Proposed algorithm enjoys the flavours of AIS and Maslow’s need hierarchy theory to evolve a Meta heuristic. Numerical simulation with small and large number of jobs with respect to error percentage is reported. The results obtained are compared with the other existing approaches. Numerical simulation has revealed that results obtained using proposed algorithm have significant improvement over others.


Keywords - No-wait; Flow shop scheduling; Psycho-Clonal algorithm; Artificial immune system.


Working and Analysis of the H – Bridge Motor Driver Circuit Designed for Wheeled Mobile Robots

Vibhor Gupta

University Institute of Engineering and Technology, Panjab University, Chandigarh

Contact: vibhoruiet@yahoo.co.in, Phone: 09855034140


Abstract - Wheeled mobile robots (WMR’s) are built with their wheel’s drive machine, motors. Depend upon their desire design of WMR, technicians made use of DC motor for motion. As a driving system of DC motor, a Peripheral Interface Controller PIC 16F877A based control system is designed with H- bridge motor driver circuit. The driving system is used to drive two DC gear motors which are used to control motion of WMR.

The outputs of PIC are used to drive the H - bridge motor driver circuit which makes the movement of the motor. In this article three circuits of H – bridge have been explained. The first circuit explains the motion of the motor and the concept of differential drive which technicians have been using. The second circuit lays emphasis on the proper triggering of transistors thereby improving the earlier circuit. The third concept is the H – bridge motor driver circuit at heavy load conditions.

The whole paper is made on the basic research in order to make an efficient driving system under any conditions.


A Power Harmonic Measurement System Based on Wavelet Packet Transform and ARM9


Weicheng XIE

School of Electrical and information Engineering

XIHUA University

Chengdu, China

scxweicheng@yahoo.com.cn

Xia YANG

School of Electrical and information Engineering

XIHUA University

Chengdu, China

yangxia-0618@163.com


Abstract—A real-time harmonic measuement system is presented in the paper. The system is combined by the ARM9 chip and virtual instrument technology. the paper set out the system’s hardware structure diagram, harmonic analysis algorithm, the simulation result, and the LabVIEW subroutine which used to show the result. The wavelet packet transform is used to detect harmonics which can highly meet the requirements of the harmonics measurement. And data acquisition server get data from the the storage of the ARM system, and stored data to the database, remote monitoring computer can access the data through the Internet network. As a result, it proved that the system can improve the time-frequency resolution obviously and track the changes of all harmonics on real-time by using wavelet packet transform.

Keywords: wavelet packet transform; power harmonic measurement; ARM9; virtual instrument


Joint Power Control, Scheduling and Real-time Routing in Wireless Sensor Networks

Yuanyuan Zeng

School of Power and Mechanical Engineering

School of Electronic Engineering

Wuhan University

Wuhan, China

zyywhu@gmail.com


Guilin Zheng

School of Power and Mechanical Engineering

Wuhan University

Wuhan, China

glzheng@whu.edu.cn


Abstract—increasing transmission power is an effective way to improve real-time data delivery in wireless sensor networks. On the other hand, increased power will also incur more interference though it can improve the link quality to increase real-time communication. So there is a tradeoff between interference and delay. In this paper, we consider a joint power control, scheduling and real-time routing problem, try to find a converged transmission power that can satisfy the on-line real-time data packet delivery and also we can achieve little interference by using TDMA scheduling. The simulation results show that our algorithms have better performance when compared with other related work.


Keywords- power control; link scheduling; real-time routing; wireless sensor networks;


Reconfigurable Flight Control System Design using Eigenstructure Assignment and Particle Swarm Optimization Algorithm


Meng Zhang Weiguo Zhang Yong Sun Ning Ning

College of Automation College of Automation College of Automation College of Automation

Northwestern Polytechnical University Northwestern Polytechnical University Northwestern Polytechnical University Northwestern Polytechnical University

Xi’an, China Xi’an, China Xi’an, China Xi’an, China

zmnwpu@126.com zhangwg@nwpu.edu.cn sunyong8023@163.com ningning0512@qq.com


Abstract—This paper proposes a new reconfigurable flight control system design methodology using the optimal eigenstructure assignment with constrained output feedback. An integrated performance index is given in this methodology which combines the performance index of the reconfigured eigenstructure and the performance index of the stability of the reconfigured closed-loop system. Then particle swarm optimization algorithm is utilized to minimize the integrated performance index to obtain the optimal feedback gain. In view of an impaired lateral flight control system with the sideslip angle sensor and the aileron are all in complete failure, an illustrative design example using the proposed methodology to design the reconfigurable flight control system. Simulation results are provided to show the effectiveness and the superiority of the proposed methodology

Keywords-eigenstructure assignment; particle swarm optimization; reconfigurable flight control system; constrained output feedback


Image Parallel Processing Based on GPU

Nan Zhang

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

Graduate School of the Chinese Academy of Sciences

Changchun China; Beijing China

zhangn599@yahoo.com.cn

Yun-shan Chen

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

Graduate School of the Chinese Academy of Sciences

Changchun China; Beijing China

yiyunsn@163.com

Jian-li Wang *

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

Changchun China

zhangn599@163.com


Abstract—In order to solve the compute-intensive character of image processing, based on advantages of GPU parallel operation, parallel acceleration processing technique is proposed for image. First, efficient architecture of GPU is introduced that improves computational efficiency, comparing with CPU. Then, Sobel edge detector and homomorphic filtering, two representative image processing algorithms, are embedded into GPU to validate the technique. Finally, tested image data of different resolutions are used on CPU and GPU hardware platform to compare computational efficiency of GPU and CPU. Experimental results indicate that if data transfer time, between host memory and device memory, is taken into account, speed of the two algorithms implemented on GPU can be improved approximately 25 times and 49 times as fast as CPU, respectively, and GPU is practical for image processing.

Keywords: Image Processing; Parallel operation; GPU; CUDA


A Fast OBS Pruning Algorithm Based on Pseudo-Entropy of Weights

Shouling Zhao, Quan Liu Binbin Zhang

School of Computer Science and Technology

Soochow University

Suzhou, Jiangsu, 215006, China

{20074227065083, quanliu}@suda.edu.cn


Abstract—A fast OBS pruning algorithm based on pseudo-entropy of weights is proposed to resolve the problems of the number of hidden neurons is difficult to be determined in neural networks and low pruning speed in conventional OBS (Optimal Brain Surgeon) pruning algorithm. The algorithm makes the network constrain the distribution of weight automatically during the training process, obtain a simpler structure of network, and improve the speed of pruning. The result of experimental shows that the structure of network has been simplified; the generalization capability of network and the speed of pruning have been improved greatly by using the algorithm mentioned above.

Keywords—BP neural network; pseudo-entropy of weights; OBS pruning algorithm; generalization capability


Investigations of NCTF with input shaping for sway control of a Double-Pendulum-Type Overhead Crane


M.A. Ahmad, R.M.T. Raja Ismail, M.S. Ramli and N. Hambali

Faculty of Electrical and Electronics Engineering

Universiti Malaysia Pahang,

Lebuhraya Tun Razak, 26300, Kuantan, Pahang, Malaysia

Email: {mashraf, rajamohd, syakirin, najidah}@ump.edu.my


Abstract - This paper presents investigations into the development of hybrid control schemes for trajectory tracking and anti-swaying control of a double-pendulum-type overhead crane (DPTOC) system. A nonlinear DPTOC system is considered and the dynamic model of the system is derived using the Euler-Lagrange formulation. To study the effectiveness of the controllers, initially nominal characteristics following trajectory following (NCTF) is developed for position control of cart movement. The controller design, which is comprised of a nominal characteristic trajectory (NCT) and PI compensator, is used to make the cart motion follow the NCT. This is then extended to incorporate input shaping schemes for anti-swaying control of the system. The positive input shaper with different orders was design based on properties of the system. The results of the response with the controllers are presented in time and frequency domains. The performances of hybrid control schemes are examined in terms of level of input tracking capability, sway angle reduction and time response specifications in comparison to NCTF controller. Finally, a comparative assessment of the control techniques is discussed and presented.


Index Terms – Double-pendulum-type overhead crane, anti-sway control, NCTF control, input shaping.


Using Statistical Network Link Model for Routing in Ad Hoc Networks

with multi-agent Reinforcement Learning


Zhang Binbin , Liu Quan and Zhao Shouling

Institute of Computer Science and Technology,

Soochow University, Soochow ,215006, China

{20074227065078,quanliu,20074227065083}@suda.edu.cn


Abstract--Existing mobile ad-hoc routing protocols are based on a discrete, bimodal model for links between nodes: a link either exists or is broken. This model cannot distinguish transmissions which fail due to interference or congestion from those which fail due to their target being out of transmission range. A statistical network link model is introduced to represent the quality of the link by a statistical measure of link performance. Because of dynamic topologies properties of ad hoc network, each node can’t achieve the global information about other nodes in the whole network. In order to define optimal routes in a network with links of variable quality, ad-hoc routing is modeled as a sequential decision making problem with incomplete information. More precisely, ad hoc routing is mapped into a multi-agent reinforcement learning problem involving a partially observable Markov decision processes (POMDPs). A new routing protocol called SNL-Q is proposed based on a combination of continuous (rather than discrete) model for links and the POMDP model within the ad hoc network. Different scenario-based performance evaluations of the protocol in NS-2 are presented. In comparisons with AODV and DSR, SNL-Q routing exhibits improved performance in congested wireless networks.


Keywords- POMDPs, Reinforcement Learning, Mobile Ad hoc network, Q-routing


A Hierarchical Reinforcement Learning Algorithm Based On Heuristic Reward Function

Qicui Yan Quan Liu Daojing Hu

School of Computer Science and Technology

Soochow University

Suzhou, Jiangsu, 215006, China

bluedream_88@163.com, quanliu@suda.edu.cn


Abstract—A hierarchical reinforcement learning method based on heuristic reward function is proposed to solve the problem of “curse of dimensionality”, that is the states space will grow exponentially in the number of features, and low convergence speed. The method can reduce state spaces greatly and can enhance the speed of the study. Choose actions with favorable purpose and efficiency so as to optimize reward function and enhance convergence speed. Apply this method to the Tetris game; the experiment result shows that the method can partly solve the “curse of dimensionality” and can enhance the convergence speed prominent.

Keywords-hierarchical reinforcement learning; heuristic reward function; Tetris; curse of dimensionality


Braking Technique Research on High Power Permanent Magnet Brushless Motor of Aviation

Bo Tan, Ruiqing Ma

College of Automation

Northwestern Polytechnical University at Xi’an

Xi’an Shan Xi 710072

tanbo345@163.com

Weiguo Liu, Jun Zhao

College of Automation

Northwestern Polytechnical University at Xi’an

Xi’an Shan Xi 710072

marq@nwpu.edu.cn

Abstract—For braking problems of high power BLDCM on aviation, with the characteristics of air power supply, this paper respectively studies the change of phase current in dynamic braking and plug breaking. It compares the speed performance of the different braking methods, and proposes using different phase current detection ways for different braking methods and the phase current control method based on current cut-off negative feedback. Finally, the relevant waveforms are simulated in Matlab environment. The simulation results show that the theory is correct and current detection and control methods are very effective.

Keywords-BLDCM; Braking; Simulation; Current Cut-off Negative Feedback


Torque Ripple Reduction of Brushless DC Motor Based on

Optimal Control with Adaptive Compensation

Guanxiong Li

College of Automation, Northwestern Polytechnical University

Xi An, P. R. China

lgxiong@mail.nwpu.edu.cn


Jinglin Liu

College of Automation, Northwestern Polytechnical University

Xi An, P. R. China

jinglinl@nwpu.edu.cn


Shihe Yang

College of Automation, Northwestern Polytechnical University

Xi An, P. R. China

Yangzg2120@163.com

ABSTRACT— The inherent torque ripple of brushless DC motor limited its scope of application. In this paper, the state space model of system was derived from the mathematical model of motor to generate the desired current. An optimal state feedback controller using the Kalman filter state estimation technique was established aimed at ripple free torque control. An active disturbance rejection control algorithm was proposed to compensate for the effects of input disturbance. Experimental results are presented that these two algorithms working together are capable of reducing the torque ripple effectively under the condition of constant torque load.

KEY WORDS: brushless DC motor; torque ripple; state estimation; optimal control; adaptive compensation


Research on key technologies of embedded GPS navigation


Xinguang Li, Hong Fan

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

Wuhan University

Wuhan, China

e-mail: emailoflxg@163.com, fan_hong@x263.net

Xuehao Fu

Research and Development Center

Beijing Traffic Radio Information Technology Co., Ltd

Beijing, China

e-mail: fxhwd@yahoo.com.cn


Abstract—Embedded GPS navigation, based on embedded platform technology, through GPS and GIS and combined with handheld devices, achieves target location, path calculation, route guidance and surrounding search functions of mobile users. This paper, Symbian OS mobile phones as the terminal, background Linux servers providing the mapping service, path calculation, route guidance, networking search, location query and other functions, using GPRS, WIFI and other wireless communication modes, achieves navigation services provided by professional navigation mobile phones on lightweight thin-client, and, at the same time, takes advantage of mobile phone communication to achieve a certain degree of user interaction. Thus, based on the user interface on Symbian platform, GPS, data persistence layer, audio and network programming, an overall solution is proposed and the corresponding key technologies involved are discussed.

Keywords-GPS; global positioning system; Symbian; GPRS; WIFI; GIS; Geographic information system; communication





Download 1,33 Mb.
leave a comment
Page1/15
Date conversion27.09.2011
Size1,33 Mb.
TypeДокументы, Educational materials
Add document to your blog or website
  1   2   3   4   5   6   7   8   9   ...   15
Be the first user to rate this..
Your rate:
Place this button on your site:
docs.exdat.com


The database is protected by copyright ©exdat 2000-2014
При копировании материала укажите ссылку
send message
Documents

Рейтинг@Mail.ru
наверх