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2011 IEEE International Conference on

Automation and Logistics August 15 - 16, 2011, Chongqing, China

2 0 1 1 中重国庆

icalIEEE

Program Digest

2011 IEEE International Conference on Automation and Logistics

August 15-‐16, 2011 King World Hotel, Chongqing, China

Conference Program Digest

Sponsored by

IEEE Robotics and Automation Society

The Chinese University of Hong Kong

Chongqing Jiaotong University

Shandong University

Henan University of Science and Technology

Technically Co-‐Sponsored by

ASME Dynamics, Systems and Control Division

Chinese Association of Automation

Chinese Mechanical Engineering Society

China Logistics Technology Association

China Federation of Logistics and Purchasing

Japan Society of Mechanical Engineers

Society of Instrument and Control Engineers

Robotics Society of Japan

The IEEE Hong Kong Joint RAS and CS Chapter

IEEE ICAL 2011 USB Memory Stick Proceeding

Additional Copies may be ordered from:

IEEE Service Center 445 Hoes Lane P.O. Box 1331 Piscataway, NJ 08855-‐1331 U.S.A IEEE Catalog Number: CFP11CAL-‐ART ISBN: 978-‐1-‐4577-‐0302-‐07 Copyright and Reprint Permission: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-‐copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For other copying, reprint or republication permission, write to IEEE Copyrights Manager, IEEE Operations Center, 445 Hoes Lane, Piscataway, NJ 08854. All rights reserved. Copyright ©2011 by IEEE.

WELCOME

It is our great pleasure to welcome you to the 2011 IEEE International Conference on Automation and Logistics (IEEE ICAL 2011), which takes place in Chongqing, China from August 15 to 16, 2011.

IEEE ICAL 2011 marks the fifth event of the IEEE ICAL conference series. This year we have received 186 paper submissions from 12 countries and regions. After a rigorous full-‐paper peer-‐review process, 100 papers were accepted for oral presentation at the conference, resulting in an acceptance rate of 54%. These papers reflect the dynamism of the research and development activities in automation and logistics, as well as the emergence of new research and development topics in addressing the ever-‐increasing challenges from the related industrial and societal needs.

The conference program is highlighted by three distinguished plenary speakers: Professor Yunhui Liu from the Chinese University of Hong Kong, Professor Houmin Yan from the Chinese University of Hong Kong and the City University of Hong Kong, and Professor Guanrong Chen from the City University of Hong Kong. The main objective of the IEEE ICAL conference series is to provide a forum for researchers, educators, engineers, and government officials involved in Automation and Logistics to disseminate their latest research results and exchange views on the future research directions of the related fields. IEEE ICAL 2011, hosted in the beautiful city of Chongqing, China, promises to be a great event for all participants, with an excellent technical program as well as social activities.

We wish to express our appreciation and gratitude to all the individuals who have contributed to IEEE ICAL 2011 in a variety of ways. Special thanks are extended to our colleagues in the technical program committee for their thorough review of all the submissions, which is vital to the success of this conference, and also to the members in the organizing committee and our volunteer students who have dedicated their time and efforts in planning, promoting, organizing and helping the conference. Last but not least, our special thanks go to distinguished plenary speakers, invited workshop speakers, as well as all the authors for contributing their latest research work to the conference, and to all participants in making IEEE ICAL 2011 a memorable event.

If your travel plans permit, we encourage you to extend your stay to visit the Chongqing region and the rest of China. We wish you a great conference and enjoyable visits in Chongqing, China.

Simon X. Yang Jianting Zhou Max Q.-‐H. Meng General Chair Program Chair Organizing Chair

Table of Contents Welcome ................................................................................................................................... 3

Organization Committees ......................................................................................................... 5

General Information ............................................................................................................... 10

Transportation Information .................................................................................................... 12

Program Schedule ................................................................................................................... 14

Floor Plan of King World Hotel ............................................................................................... 15

Plenary Talk ........................................................................................................................... 16

Symbols for Technical Sessions ............................................................................................... 20

Session IDs, Session Titles & Session Chairs ............................................................................ 23

Oral Sessions

Monday Session……………………………………...………………………………… T-‐1

Tuesday Session………………………………………….....…..…………………….. T-‐9

Session Chair Index………………………………………………………………….…………………………………...…...S-‐1

Author Index ……………………………………………………………………………………………….…………………… A-‐1

5

Organization Committees

Advisory Committee

CHAI Tianyou Northeastern University, China

DE SILVA Clarence UBC, Canada

FUKUDA Toshio Nagoya University, Japan

KOSUGE Kazuhiro Tohoku University, Japan

LUH Peter B. Univ. of Connecticut, USA

TARN Tzyh Jong Washington University, USA

XU Yangsheng Chinese Univ. of HK, China

Honorary Conference Chairs TANG Boming Chongqing Jiaotong U, China

VANNELLI Anthony U. of Guelph, Canada

General Chair YANG Simon X. Univ. of Guelph, Canada

General Co-‐Chairs ZHANG Chengjin Shandong Univ., China

ZHANG Jianwei U. of Hamburg, Germany

ZHOU Mengchu NJ Inst. of Tech, USA

Awards Committee Chair ZHANG Hong Univ. of Alberta, Canada

6

Program Chair ZHOU Jianting Chongqing Jiaotong U., China

Regional Program Co-‐Chairs FENG Gary G. City U. of Hong Kong, China

HU Huosheng University of Essex, UK

KARRAY Fakhri Univ. of Waterloo, Canada

PU Jiexin Henan Univ. of Sci. & Tech., China

WANG Zhidong Chiba Inst. of Tech., Japan

Organized & Focused Session Chairs CAO Jianqiu Chongqing Jiaotong U., China

KUBOTA Naoyuki Tokyo Metrop. U., Japan

KWON Dong Soo KAIST, Korea

TAN Jindong Michigan Tech. Univ., USA

YUAN Xiaohu Univ. of Windsor, Canada

Publications Chairs LI Howrad U. of New Brunswick, Canada

TIAN Fengchun CQ Jiaotong U., China

Finance Chair HU Chao CAS/CUHK SIAT, China

7

Organizing Chair MENG Q.-‐H. Max Chinese U. of HK, China

Organizing Co-‐Chairs ASAMA Hajime Univ. of Tokyo, Japan

CHIAVERINI Stefano U. di Cassino, Italy

LIU Yunhui Chinese Univ. of HK, China

WU Min Zhongnan University, China

WANG Changxian CQ Jiaotong Univ., China

Publicity Chairs CHENG Guanrong Ron City U. of HK, China

GUO Shuxiang Kagawa University, Japan

LIU Xiaoping Peter Carleton Univ., Canada

LUO Chaomin Univ. of Detroit Mercy, USA

PARK Jong Hyeon Hanyang Univ., Korea

ZHU Anmin Shenzhen University, China

Local Arrangement Chairs CHAI Yi Chongqing University, China

XU Maozeng Chongqing Jiaotong U., China

Secretariat CHEN Jimmy Chinese Univ. of HK, China

8

Program Committee

Program Chair ZHOU Jianting Chongqing Jiaotong U., China

Regional Program Co-‐Chairs FENG Gary G. City U. of Hong Kong, China

HU Huosheng University of Essex, UK

KARRAY Fakhri Univ. of Waterloo, Canada

PU Jiexin Henan Univ. of Sci. & Tech., China

WANG Zhidong Chiba Inst. of Tech., Japan

Committee Members

Chai Yi Chen Ben M. Chen Chin-‐Yin

Chen Tongwen Chiu David Feng Gang

Feng Wei Fu Bo Fu Mingyu

Fu Yili Gao Xueshan Ge Yunjian

Gu Dongbing Gu Jason Hou Xuezhang

Hu Chao Hu Huosheng Hu Jwu-‐Sheng

Hu Tianjiang Huang Jie Huang Lvwen

Jiang Zhongping Lai Xuzhi Li Baopu

Li Haitao Li Howard Li Xiaofeng

Li Yangmin Li Zhijun Liao Li

Liu Jinguo Liu Rong Liu Yugang

Lou Yunjiang Luo Chaomin Ma Shugen

9

Maciejewski Anthony A. Martynenko Alex Meng Hao

Meng Max Meng Xianyong Ming Aiguo

Qin Zheng Ren Dong Ren Hongliang

Shaidah Jusoh Shen Yanjun Su Chunyi

Tan Min Tan Ying Tang Jiafu

Tang Jin Tian Fengchun Tian Guohui

Wan Feng Wang Dingwei Wang Anrong

Wang Xiaona Wang Zheng Wang Zhidong

Wu Shandong Xu Feng Xu Lisheng

Xu Qingsong Yang Guanghong Yang Guocai

Yang Qiwen Yang Xiaoli Ye Xiufen

Yoon Hyun Joong Yuan Hongyin Yuan Xiaobu

Zhang Biao Zhang Chengjin Zhang Dan

Zhang Jianwei Zhang Zichen Zhao Mi

Zheng Weixing Zhou Changjiu Zhou Shijie

Zhu Anmin Zhu Daqi

10

General Information Conference Venue King World Hotel Chongqing, Chongqing, China（重庆君豪大饭店） Tel: +8623-‐86338888 Fax: +8623-‐86339999 Web: http://www.empark.com.cn/cq02/ Address: No.9 Golden Resources Road, Jiangbei District, Chongqing, China

重庆市江北区金源路 9号

Language The conference and all its activities will be conducted in English.

Conference Secretariat Xijun Chen, CUHK; We Liu & Shuang Song, SIAT E-‐mail: 2011@ieee-‐icia.org Tel: +86 (755) 8639-‐2430

Dietary Needs Conference delegate or partner with special dietary needs etc. is invited to indicate his/her special dietary needs to the organizing committee at the Registration Desk.

Welcome Reception Date: August 15th, 2011 Time: 18:00-‐20:30 Venue: Gather at the hotel lobby at 18:00

Conference Registration Sunday, August 14th, 2011, 14:00-‐20:00 Venue: 1st Floor on King World Hotel Monday, August 15th, 2011 08:00-‐17:00 Tuesday, August 16th, 2011 08:00-‐17:00 Venue: Registration desk by the Haojing Hall on 2nd Floor of King World Hotel Award Banquet Date: August 16th, 2011 Time: 18:00-‐20:30 Venue: Jin Hao Yuan Chinese Restaurant (负一楼中餐大厅)

11

Oral Presentation and Additional Equipment Please note that each session room will be equipped with a projector, screen, laser pointer, and microphone. Laptop and/or desktop computers will be provided. General software presentation package are preinstalled, such as Microsoft PowerPoint, Adobe Acrobat reader. If you plan to use specific software presenting packages other than stated above, you are required to bring your own computer and install them before your presentation. Please include your paper number in all correspondence. Each presentation is allocated 20 minutes including question and answer period. Conference Proceedings Conference registration fee includes a copy of the Conference Proceedings on USB Key. Additional copies are available at a cost of US$50.00 (人民币￥325,HK$390) each. Please enquire at the registration Desk. Internet Access Free wireless access will be provided for all delegates at the conference venue King World Hotel and in all presentation rooms on Monday and Tuesday.

12

Transportation Information The main airport in Chongqing is the Chongqing Jiangbei International Airport, offering direct flights to most major cities in China as well as direct international flights to and from Japan, Taipei, Thailand, Singapore, Korea, Vietnam and Germany.

By Plane The city is served by the Chongqing Jiangbei International Airport (重庆江北国际机场), offering direct flights to most major cities in China as well as direct international flights to and from Japan, Taipei, Thailand, Singapore, Korea, Vietnam and Germany.

By Train Train service is provided through two train stations, the Chongqing Train Station and the Chongqing North Train Station.

Chongqing Train Station (重庆火车站 ). Guangzhou -‐ takes about 34 hours Beijing -‐ takes about 25 hours. Shanghai -‐ takes about 40 hours Xi’an -‐ takes about 11 hours

Chongqing North Train Station (重庆北站 ). Guangzhou – takes about 21-‐31 hours Chengdu – takes about 2-‐5 hours Beijing – take about 15 hours by ‘D Train’ and 29-‐32 hours by normal train. Wuhan -‐ takes about 10-‐19 hours Shanghai – takes about 15 hours by ‘D Train’ and 29 hours by normal train Xi’an -‐ takes about 10-‐12 hours Jinan -‐ takes about 27 hours Tianjin -‐ takes about 32 hours

13

Location of KingWorld Hotel

14

Program Schedule

Sunday, August 14th, 2011

14:00-‐20:00 Registration at 1st Floor on King World Hotel

Monday, August 15th, 2011

08:30-‐18:00 Registration at 2nd Floor on King World Hotel

09:00-‐09:40 Opening Ceremony

09:40-‐10:00 Morning Break with Tea and Coffee

10:00-‐11:00 Plenary Lecture I By Professor Yunhui Liu

11:00-‐12:00 Plenary Lecture II By Professor Houmin Yan

12:00-‐14:00 Lunch Break

14:00-‐15:40 Technical Sessions MP

15:40-‐16:00 Afternoon Break with Tea and Coffee

16:00-‐17:40 Technical Sessions ME

18:00-‐20:00 Welcome Reception

Tuesday, August 16th, 2011

08:30-‐18:00 Registration at 2nd Floor on King World Hotel

09:00-‐10:00 Plenary Lecture III By Professor Guanrong Chen

10:00-‐10:20 Morning Break with Tea and Coffee

10:20-‐12:00 Technical Sessions TA


14:00-‐15:40 Technical Sessions TP

15:40-‐16:00 Afternoon Break with Tea and Coffee

16:00-‐17:40 Technical Sessions TE

18:00-‐20:00 Award Banquet

15

Floor Plan of KingWorld Hotel Plenary talks will be held at Haojing Hall(豪景厅) on 2nd Floor. All oral sessions will be held at function rooms Haojing Hall (豪景厅), Haoyi Hall (豪怡厅), Haoxin Hall (豪信厅) and Haohua Hall (豪华厅) on the 2nd Floor on Monday and Tuesday.

Second Floor (Level 2)

16

IEEE ICAL 2011 Plenary Talk I 10:00-‐11:00, Monday, August 15th

Haojing Hall

One-‐Shot Learning and Mapping of Robots

Professor Yunhui Liu

Chinese University of Hong Kong Hong Kong, China

Abstract

To function in real worlds, robots must have superior ability of control and sensing that can cope with various uncertainties in modeling. Many robots fail to work in real applications because their controllers and sensing algorithms are based on exact models, which cannot be obtained in real worlds. This talk addresses two basic problems: can a robot control its motion without a model or with a coarse model and can a robot construct a 3-‐D model of the environment on-‐line with noisy sensor data and a single camera? To answer the first question, we will present a new scheme of machine learning that enables a robot to learn motion control on-‐line using a very coarse model from a single demonstration, while existing iterative learning control and reinforcement control methods require a large number of trials or demonstrations. The superior performance of this one-‐shot learning scheme will be demonstrated by experiments on the difficult problems in robotics such as slide parking of cars and motion control of helicopters. To answer the second question, we will present a new approach of visual SLAM (Simultaneous Localization and Mapping) using a single camera based on an on-‐line algorithm for estimating the 3-‐D information of the environment and its experimental results on a water surface robot, aerial robots, etc. Finally, we will also introduce some of our recent activities on intelligent robotic systems.

17

Biography Professor Yunhui Liu received his B. Eng. degree in Applied Dynamics from Beijing Institute of Technology, China, in 1985, his M. Eng. degree in Mechanical Engineering from Osaka University in 1989, and his Ph.D. degree in Mathematical Engineering and Information Physics from the University of Tokyo, Japan, in 1992. He worked at the Electrotechnical Laboratory, MITI, Japan from 1992 to 1995 as a Research Scientist. He has been with Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong since 1995 and is currently a Professor. He is also a ChangJiang visiting Professor at National University of Defense Technology and a Visiting Professor at Beijing Institute of Technology. Professor Liu is interested in multi-‐fingered grasping, adaptive control, dynamic visual servoing, active sensor networks, networked robotics, and medical robotics. His research is funded by various agencies in Hong Kong and the Mainland China. He has published over 200 papers in refereed professional journals and international conference proceedings. He received the 1994 and 1998 Best Journal Paper Awards from the Robotics Society of Japan and several Best Paper Awards from major international conferences in robotics and automation. He is an Editor of Advanced Robotics and was an Associate Editor of IEEE Transactions on Robotics and Automation. He was the General Chair of 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and actively served many other international conferences as core organizers. He is a Fellow of IEEE.

18

IEEE ICAL 2011 Plenary Talk II 11:00-‐12:00, Monday, August 15th

Haojing Hall

Robustness of Supply Chain Coordination Contracts:

Taxonomy, Examples and Structural Results

Professor Houmin Yan CUHK/City University of HK

Hong Kong, China

Abstract Supply chain coordination and associated contracts have been active research topics in supply chain management. Yet, little has been done in addressing robustness of design, evaluation, and implementation for such contracts. We develop a consistency framework for supply chain contracts and classify a number of well-‐ studied ones into groups. We demonstrate with examples that a contract can be evaluated by its consistency properties. Based on precise mathematical denitions and subsequently developed structural properties and management insights, we are not only able to measure the goodness of a contract but also to reveal the nature of its coordination. Our ndings open an avenue for design, evaluation and implementation of supplychain coordination contracts.

19

Biography

Houmin Yan is the Chair Professor of Management Sciences and the Head of Department of Management Sciences at the City University of Hong Kong. He was a Professor at the Chinese University of Hong Kong, where he directed the Executive Master of Science Program in Logistics and Supply Chain Management and the Center for the Research and Development Center for Supply Chain and Logistics management, Li & Fung Institute of Supply chain management & Logistics. He was an Associate Director and Science Advisor for Hong Kong R&D Center for Logistics and Supply Chain Management Enabling Technologies. He was also a tenured Associate Professor at the School of Management, the University of Texas at Dallas.

His main research areas are stochastic models, simulations, and supply chain management. He has published in journals such as Operations Research, Manufacturing and Service Operations Management, IIE Transactions, Production and Operations Management, Journal of Optimization: Theory and Applications, and IEEE Transactions. He consults a number of manufacturing and logistics companies, such as Motorola, Freescale, Kappa and Citic Global Logistics, on issues spanning from forecasting, supply chain management to business process reengineering.

In 2004, his paper (co-‐authored with Gan and Sethi) "Coordination of Supply Chains with Risk-‐Averse Agents" (POM, Vol. 13, 2004, 135 -‐149) received the Wickhan-‐Skinner Best paper Award from the 2nd World Conference on Production and Operations Management and the Society of Production and Operations Management(POMs). In 2005, his paper (co-‐authored with Lee and Tan) "Designing An Assembly Process with Stochastic Material Arrivals" (IIE Transactions, Vol. 35, 2003, 803-‐815) has been awarded the Best Paper Award for "the focus issues on Operations Engineering for 2003-‐2004 from the Institute of Industrial Engineers (IIE)."

He received his B.S. and M.S. from Tsinghua University and his Ph.D. from the University of Toronto. He is a member of INFORMS.

20

IEEE ICAL 2011 Plenary Talk III 9:00-‐10:00, Tuesday, August 16th

Haojing Hall

Flocking and Formation Control of Multi-‐Agent Systems

Professor Guanrong Chen City University of Hong Kong

Hong Kong, China

Abstract This presentation offers an overview of the recent progress in flocking and formation control of mobile multi-‐agent systems, with some brief review of related topics such as flocking modeling, consensus dynamics and control algorithms. Background and motivation will be introduced, and main ideas and key techniques will be addressed. Our recent research work on higher-‐order and adaptive flocking control will be briefly discussed. To that end, a couple of successful simulation and experimental examples will be demonstrated.

21

Biography

Professor Chen has been a Chair Professor and the Founding Director of the Centre for Chaos and Complex Networks at the City University of Hong Kong since year 2000, prior to which he was a Tenured Full Professor at the University of Houston, Texas, USA. He is an IEEE Fellow (1996) and an ISI highly-‐cited researcher in engineering, and was conferred an Honorary Doctorate by the Saint Petersburg State University, Russia, as well as Honorary Professorships at different ranks by some twenty universities worldwide. He currently is the Editor-‐in-‐Chief for the IEEE Circuits and Systems Magazine and for the International Journal of Bifurcation and Chaos.

22

Symbols for Technical Sessions

Symbols for Days of a Week

M = Monday T = Tuesday

Symbols for Session Times Slots

Session A = 10:20-‐12:00 Session P = 14:00-‐15:40 Session E = 16:00-‐17:40

Symbols for Room Assignments

Room ID 1 2 3 4

Room Haojing Hall (豪景厅)

Haoyi Hall (豪怡厅)

Haoxin Hall (豪信厅)

Haohua Hall (豪华厅)

23

Session IDs, Session Titles & Session Chairs

Monday August 15th, 2011 Afternoon Session Title Session Chairs

MP-‐1 Robotic I Hong Zhang Jianwei Zhang

MP-‐2 Biomedical Instrument and Applications Chao Hu Lisheng Xu

MP-‐3 Network and Vehicle I Jason Gu Xuezhang Hou

MP-‐4 Instrumentation Systems Yong Yu Chengjin Zhang

ME-‐1 Robotic II Hong Zhang Yunong Zhang

ME-‐2 Evaluation and Optimization I Jason Gu Lisheng Xu

ME-‐3 Network and Vehicle II Shuxiang Guo Xiaoling Ye

ME-‐4 Supply Chain Management Chengjin Zhang Wei Liu

Tuesday August 16th, 2011 Morning Session Title Session Chairs

TA-‐1 Transportation System Chengjin Zhang Shuang Song

TA-‐2 Intelligent Control and Automation Shujiang Li Yongchuan Tang

TA-‐3 Logistics I T.-‐J. Tarn Xiaoling Ye

TA-‐4 Automation Control I Mingyu Fu Jin Feng

Afternoon

TP-‐1 Modeling, Identification and Simulation I Yong Yu Lisheng Xu

TP-‐2 Planning, Scheduling and Coordination Shuxiang Guo Xiaoling Ye

TP-‐3 Logistics II Jiexin Pu Shuang Song

TP-‐4 Automation Control II T.-‐J. Tarn Mingyu Fu

TE-‐1 Modeling, Identification and Simulation II Mingyu Fu Wei Liu

TE-‐2 Evaluation and Optimization II Jianwei Zhang Weirong Huang

TE-‐3 Simulation and Optimization Chao Hu Xuezhang Hou

TE-‐4 Computer Vision Yunong Zhang Jiexin Pu

IEEE ICAL 2011 Program at a Glance Time\Room Haojing Hall Haoyi Hall Haoxin Hall Haohua Hall

Sunday, August 14, 2011 14:00-‐20:00 Registration at First Floor of King World Hotel

Monday, August 15, 2011 09:00-‐09:40 Opening Ceremony

09:40-‐10:00 Coffee/Tea Break

10:00-‐11:00 Plenary Lecture I, Haojing Hall, 2nd Floor, Chair: Simon X. Yang

One-‐Shot Learning and Mapping of Robots Prof. Yunhui Liu, Chinese University of Hong Kong, China

11:00-‐12:00

Plenary Lecture II, Haojing Hall, 2nd Floor, Chair: Jianting Zhou Robustness of Supply Chain Coordination Contracts: Taxonomy, Examples and Structural

Results Prof. Houmin Yan, CUHK/City University of HK, China


14:00-‐15:40 MP-‐1

Robotic I

MP-‐2 Biomedical Instrument

and Applications

MP-‐3 Network and Vehicle I

MP-‐4 Instrumentation Systems

15:40-‐16:00 Tea and Coffee Break

16:00-‐17:40 ME-‐1

Robotic II

ME-‐2 Evaluation and Optimization I

ME-‐3 Network and Vehicle

II

ME-‐4 Supply Chain Management


Tuesday, August 16, 2011

09:00-‐10:00 Plenary Lecture III, Haojing Hall, 2nd Floor, Chair: Max Q.-‐H. Meng

Flocking and Formation Control of Multi-‐Agent Systems Prof. Guanrong Chen, City University of Hong Kong, China


10:20-‐12:00 TA-‐1

Transportation System

TA-‐2 Intelligent Control and

Automation

TA-‐3 Logistics I

TA-‐4 Automation Control I


14:00-‐15:40 TP-‐1

Modeling, Identification and Simulation I

TP-‐2 Planning, Scheduling and Coordination

TP-‐3 Logistics II

TP-‐4 Automation Control II


16:00-‐17:40 TE-‐1

Modeling, Identification and Simulation II

TE-‐2 Evaluation and Optimization II

TE-‐3 Simulation and Optimization

TE-‐4 Computer Vision


Wednesday, August 17, 2011 Local Tour in Chong Qing (Register at Registration Desk)

Technical Sessions

KingWorld Hotel

君豪大饭店

Monday August 15, 2011

MP-1 Robotics I

MP-2 Biomedical Instrument and Applications

MP-3 Network and Vehicle I

MP-4 Instrumentation Systems

ME-1 Robotics II

ME-2 Evaluation and Optimization I

ME-3 Network and Vehicle II

ME-4 Supply Chain Management

MP‐1 : Robotic I

Session Chairs: Prof. Hong Zhang and Prof. Jianwei Zhang

Room: Haojing Hall, 14:00‐15:40, Monday, 15 August

MP‐1(1) 14:00‐14:20 MP‐1(2) 14:20‐14:40

Beckhoff Based Arm Control System Design for Elderly Assisting Robot

Guo Shuai, Song Zhuoyuan and Wang ZhiyongResearch Laboratory for Service Robotics, Shanghai University

Shanghai, China

• A Beckhoff based multi-motor controlling system for a four-DOF lightweight robot arm

• RS232, CANOpen and EtherCAT were used in hardware connections

• Use TwinCAT real-time industry PC system to coordinate communication among different devices

• The feasibility and stability is verified by a series of experiments

The four-DOF arm

Gear type 2-DOF joint

Design and Realization for Throwable Semi-Autonomous Reconnaissance Robot

Liancun Zhang1, Qiang Huang1, Liying Wu2, Weimin Zhang1, Yue Li1, Yuancan Huang1 and Hui Li1

1. Beijing Institute of Technology, Beijing , China 2. Beijing University of Technology, Beijing, China

• Design of throwable semi-autonomous reconnaissance robothas been illustrated in the paper.

• ANSYS/LS-DYNA was applied toaccomplish dynamic simulationanalysis of the robot.

• Some experiments have been doneto validate anti-impact ability andautonomous capability of the robot.

Throwable Semi-AutonomousReconnaissance Robot

• The robot can real-time feedback video and audio of target areaby autonomous mode or remote control mode.

MP‐1(3) 14:40‐15:00 MP‐1(4) 15:00‐15:20

Teleoperation Over Internet Communication Networks Under

Time Varying Delay

Introduced delay dependant bilateral teleoperation systems

Design can be used for both symmetric and unsymmetrical delay

Lyapunov-Krasovskii-like functional has been used to show the closed-loop stability of the teleoperators

Experimental and simulation results have been given to demonstrate theoretical development of this paper

S. Islam, P. X. Liu and A. El Saddik

A New Biped Locomotion Involving Arms Swing Based on Neural Network with Harmony Search

OptimizerEbrahim Yazdi, Vahid Azizi, Abolfazl T.Haghighat

Mechatronics Research Laboratory(MRL) , Qazvin Islamic Azad UniversityQazvin, Iran

• A New Model Free Method for Walking of Humanoid Robot

• Using Matsuoka Neural Oscillator

• Considering Roll of Hand to Stability of Robot in Walking

• Calculate Joint angle of Arms and Ankles by Other Joints

• Using Harmony Search Algorithm as an Optimization Method

Simulated NAO Robot

MP‐1(5) 15:20‐15:40 Room

Connectivity Constrained Multirobot Navigation with Considering Physical Size of Robot

Xiangpeng Li, Dong Sun, Jie Yang, and Shuang LiuUSTC-CityU Joint Advanced Research Centre

Suzhou, China

• The connectivity problem of networked robots with limited communication capabilities is investigated in this paper.

• we develop a bounded controller to guarantee networked robots to apporach their individual goal positions while maintaining network connectivity and avoiding self-collisions during motion.

Navigation

T-1

MP‐2 : Biomedical Instrument and Applications

Session Chairs: Prof. Chao Hu and Prof. Lisheng Xu

Room: Haoyi Hall, 14:00‐15:40, Monday, 15 August

MP‐2(1) 14:00‐14:20 MP‐2(2) 14:20‐14:40

A Bridge Structural Health Data Analysis Model Based On Semi-Supervised Learning

Yu Chongchong, Wang Jingyan, Tan Li, Tu XuyanDept of Computer and Information Engineering, Beijing Technology and Business University

Dept of Information Engineering, University of Science and Technology Beijing

• I. Introduction

• II. Summarization on Bridge Structural Health Research

• III. Features of Bridge Structural Parameter Data

• IV. Semi-Supervised Learning

• V. Establishment of Bridge Structural Health Data Analysis Model

Design of Remote Home Environment Monitoring and Health Care Monitoring System Based on

Data ConfusionYi Zhang, Peng Xiong, Yuan Luo and Lin Li

Chongqing University of Posts and TelecommunicationsResearch Center of Intelligent System and Robotics,

chongqing, China

• System introductuion.• Data collection network.• Data fusion algorithm.

a,Front-end data processing method and simulation analysis;b, Based on Bayes estimation theory of data fusion algorithm;c,Back-end fuzzy reasoning of data fusion algorithm.

• Experiments and conclusion. Diagram of overall system

MP‐2(3) 14:40‐15:00 MP‐2(4) 15:00‐15:20

Path Planning for 3D Transportation of Biological Cells with Optical Tweezers

Tao Ju, Shuang Liu, Jie Yang, and Dong SunCity University of Hong Kong & University of Science and Technology of China, Suzhou, China

• Micromanipulation of cells with optical tweezers is of considerable importance to many biological tasks.

• We developed a RRT-based path planning approach to cell transportation in 3D space, which realized by sub-transportations in the two orthogonal planes,

• The cell is trapped by optical tweezers and controlled robotically to move towards the target position. Cell Transportation in 3D World

Motion Analysis for Capsule Endoscopy Video Segmentation

Baopu Li1,2, Max Q.-H. Meng1,2, Chao Hu2,3

1.Department of Electronic Engineering, the Chinese University of Hong Kong 2.Shenzhen Institute of Advanced Technology, The Chinese Academy of Science, China

3.Ningbo Institute of Technology, Zhejiang University, China

• Capsule endoscopy (CE) is a revolutionary technology to diagnose the diseases for small intestine;

• Reduction of the review time for a CE video is desired;

• Two motion features are chosen to segment a CE video;

• Boundary detection is obtained by localizing local maximal values along the feature distance curve;

• Preliminary experiments show a promising performance of CE video segmentation.

MP‐2(5) 15:20‐15:40 Room

ECG and Pulse Variability Analysis for Exercise Evaluation

Lisheng Xu1,2, Yue Zhong1, Sainan Yin1, Yuemin Zhang3,Yanhua Shen1, Deguo Hao1, Yiming Hu1, Ruifeng Zhang3.

1Sino-Dutch Biomedical and Information Engineering School, Northeastern University2Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education

3Department of Physical Education, Northeastern University, Shen Yang, China

• Variability of ECG and pulse before and after exercise is introduced.

• Physical condition of subjects were evaluated through heart rate and morphology of ECG and pulse.

• Parameters shown significant difference between pre-exercise and post-exercise.

• Cardiopulmonary function of subjects have been improved in the experiment.

Change of heart ratebefore and after exercise

Change of Heart Rate

50

70

90

110

130

150

170

190

1 2 3 4 5 6 7 8 9

Weeks

Hear

tra

te

quiet state

immediately afterexercise

one minute afterexercise

two minutes afterexercise

three minutes afterexercise

T-2

MP‐3 : Network and Vehicle I

Session Chairs: Prof. Jason Gu and Prof. Xuezhang Hou

Room: Haoxin Hall, 14:00‐15:40, Monday, 15 August

MP‐3(1) 14:00‐14:20 MP‐3(2) 14:20‐14:40

Data Analysis and Simulation of Auto-ID enabled Food Supply Chains based on EPCIS Standard

Rui Wang, Sergey Prives, Roland Fischer, Michael Salfer, Willibald A. GünthnerInstitute of Material Handling, Material Flow and Logistics, Technical University of Munich

Munich, Germany

• Concept of EPCIS-based tracking and tracing in food supply chains using a case study of frozen food chain

• Development of a simulation method for generating realistic EPCIS-Events in PLANT SIMULATION

• Real-time and standard-conformable transmission of EPCIS-Events into EPCIS-based repositories for developing and testing high-level applications

Simulation Model

EPCIS-Events

EPCIS-based reposotories

The Application of Wi-Fi RTLS in Automatic Warehouse Management System

Xiangguo Ma, Tongjuan LiuBeijing Wuzi University

Beijing, China• By using the Wi-Fi RTLS

technology in the intelligent automatic warehouse management system, it increases the amount of goods transferring within one day and also tracing the entire data related to them.

• Wi-Fi RTLS inventory management system has strong automatic identification, verify and backstage supervision function, can do the real-time guidance, supervision and correction.

Wi-Fi RTLS automatic warehouse system structure

MP‐3(3) 14:40‐15:00 MP‐3(4) 15:00‐15:20

A Decentralized Heuristic for Multi-DepotSplit-Delivery Vehicle Routing Problem

A. Soeanu, S. Ray, M. Debbabi: Concordia University, Montreal, CanadaJ. Berger, A. Boukhtouta, A. Ghanmi: Defence Research and Development Canada

• Heuristic-based mechanism to solve MDSDVRP.

• Time and memory bound generation of solution by connecting fragments.

• Suitable approach for decentralized implementation among cooperative decision agents.

• Potentially adaptive technique to exogenous events during routing execution. MDSDVRP Solution Example

Wireless Sensor Network Cluster Locations: A Probabilistic Inference Approach

Yu Wang (BUPT), Wenye Li (MPI), and Yan Sun (QMUL)

• A Location Model with EnergyConcerns

• A Probabilistic Inference Methodfor Fast Estimations

• Computations in A DistributedWay

• Equivalent with State-of-the-artin Accuracy

• Evident Improvement in Speed

MP‐3(5) 15:20‐15:40 Room

On Security Detecting Architecture of Food Industry Based on Internet of Things

Bo Song, QianXing Chengdu University of Information Technology

ChengDu, China

• this paper illuminates a new security detecting architecture and a synthesized information platform, called Synthesized Architecture of Food Security Detection (SAFSD).

• The paper introduces the necessity of construction and situation of present food security, and then pays emphasis on all links of SAFSD: firstly, introduce the measures of supervision and management of all links from the production, processing, transport, sale, to dining table of foods from the angle of forming process of foods; secondly introduce the all kinks of system applications based on all roles from the angle of software application. At last, a summary is given.

T-3

MP‐4 : Instrumentation System

Session Chairs: Prof. Yong Yu and Prof. Chengjin Zhang

Room: Haohua Hall, 14:00‐15:40, Monday, 15 August

MP‐4(1) 14:00‐14:20 MP‐4(2) 14:20‐14:40

Dynamic Hysteresis Modeling of Piezoelectric Actuator in Scanning Tunneling Microscope

Qiang Wei, Chao Zhang, Guilin Zhang and Chengzhong HuSchool of Physics and Electronic Engineering, Taishan University, Taian, ChinaSchool of Control Science and Engineering, Shandong Univrsity, Jinan, China

• A modified modeling method based on dynamic recurrent neural network is designed to improve the tracking performance.

• The data pairs including driving voltage and corresponding displacement are used to train the network off-line.

• The weight values in DRNN are modified according to the error between the actual and desired displacement.

• Experiments are made to validate the effectiveness of the proposed method.

Tracking errors of DRNN model

0 1 2 3 4 5 6 7 80

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

Time (s)

Tra

ckin

g E

rror

(μ

m)

Fault Diagnosis Method Combining Multi-Relation Indexes with D-S Evidence Theory

Xiaojuan Han1,Xilin Zhang2,Fang Chen3 and ZenanDepartment of Control and Computer Engineering , North China Electrical Power University

Beijing, China• Introduction.• Fault Identifying Method Based On Grey Relation

Analysis.

• D-S Evidence Theory Decision Fusion.• The Case of Fault Diagnosis Based On Grey Relation

Analysis And D-S Theory.

' '1 2R R

' ' '1 2 3R R R

FAULT DIAGNOSIS RESULT OF SOME REDUCER CASE BASED ON GREY RLATION ANALYSIS AND D-S THEORY

D-S fusion The fusion relation indexes yielded by sample four The fusion relation indexes yielded by test data

F1 0.4631 0.3213 0.2405 0.3584 0.3499 0.2700

F2 0.3694 0.4987 0.2899 0.3650 0.4483 0.3560

F3 0.1675 0.1800 0.4696 0.2766 0.2018 0.3740

Identification result F1 F2 F3 F2 F2 F3

F1 0.5087 0.3075 0.2158 0.3708 0.3594 0.2282

F2 0.3541 0.5421 0.2830 0.3691 0.4558 0.3741

F3 0.1372 0.1504 0.5012 0.2601 0.1848 0.3977

Identification result F1 F2 F3 F1 F2 F3

MP‐4(3) 14:40‐15:00 MP‐4(4) 15:00‐15:20

A Real-Time Data Acquisition System for Mechanical Nanometer Displacement Sensors

Qian Wu, Yong Yu, Hanyu Sun, Zhengwei Li, and Yunjian GeInstitute of Intelligent Machines, Chinese Academy of Sciences

Hefei, China

• A mechanical nanometer displacement sensor with a multi-stage enlarger configuration based on flexure hinges.

• A real-time data acquisition system is designed to detect the weak output voltage signal, and then transfer the original signal into a readable form displayed in upper PC.

• The whole system can achieve the resolution of 3 [nm] and has the characteristics of large operating range, small size, high linearity, and low cost.

The Displacement Sensor System

Condenser Fault Diagnosis Base on Grey Multiple Attribute Fusion

Xiaojuan Han1,Xilin Zhang2,Fangyuan Meng3 and Hao Zhang4Department of Control and Computer Engineering , North China Electrical Power University

Beijing, China

• Introduction .

• Multiple Attributes Fusion Theory Based Grey Relation Analysis.

• Condenser Fault Diagnosis Based Grey Multiple Attributes Fusion.

• Conclusion.

Condenser Fault Diagnosis Results Based on Two Methods Proposed in This Paper

Relation analysis

F1 F2 F3 F4 F5 F6

0.7079 0.9198 0.7596 0.8901 0.7798 0.7529

F7 F8 F9 F10 F11

0.7680 0.8089 0.8141 0.8603 0.7852

Grey multiple attribute

fusion

F1 F2 F3 F4 F5 F6

0.5791 0.9867 0.5761 0.8640 0.6127 0.5320

F7 F8 F9 F10 F11

0.5508 0.6760 0.7303 0.7811 0.6503

MP‐4(5) 15:20‐15:40 Room

Distributed Optimal Fusion Filtering forMulti-Sensor Systems withState Equality Constraints Jiabing Sun1,2 , Dan Wang1 , and Chengjin Zhang1

• Distributed information fusion for state estimation

• Discrete-time systems with state equality constraints

• Filtering problem for multi-sensor systems

1) School of Control Science and Engineering , Shandong University, Jinan, China2) School of Mechanical, Electrical & Information Engineering , Shandong University

at Weihai, Weihai, China

T-4

ME‐1 : Robotic II

Session Chairs: Prof. Hong Zhang and Prof. Yunong Zhang

Room: Haojing Hall, 16:00‐17:40, Monday, 15 August

ME‐1(1) 16:00‐16:20 ME‐1(2) 16:20‐16:40

Minimum-Effort Redundancy Resolution of RobotManipulators Unified by Quadratic Programming

Kene Li and Yunong ZhangSchool of Information Science and Technology, Sun Yat-sen University

Guangzhou, China

• This paper presents the latest result that the minimum-effort redundancy resolution of robot manipulators with joint physical limits can be unified into a quadratic-programming (QP) problem formulation with different coefficient matrices and vectors defined for different schemes.

• Such a general QP formulation is subject to equality, inequality and bound constraints, simultaneously.

• The standard QP optimization routines and primal-dual neural network based on linear variational inequalities are investigated in this paper.

• The QP-based unification of robots' redundancy resolution is substantiated by a number of computer-simulation results based on PUMA560, PA10, and planar robot arms.

A Throwable Miniature Robotic SystemYue Li, Qiang Huang, Yuancan Huang, Junyao Gao, Liancun Zhang, and Ye Tian

School of Mechatronical Engineering, Beijing Institute of TechnologyBeijing, China

• The anti-impact mechanism and circuit design.

• Control system and autonomous control strategies, which includes avoiding obstacles, finding dark corner and detecting human body.

• The finite element analysis of the robot’s anti-impact ability.

• Experiments of testing robot’s anti-impact ability and semi-autonomous control.

The Throwable Miniature Robot

ME‐1(3) 16:40‐17:00 ME‐1(4) 17:00‐17:20

The Kinematics Solution and Error Analysis of a Type of Mobile Parallel Robot (MPR)

Jicheng Li1,2, Weiwei Lu1,2, Ying Hu1,2, Jianwei Zhang1,2,3

1.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences 2. The Chinese University of Hong Kong, China

3.University of Hamburg, Germany

• MPR is a new type of robot which integratesthe mechanical characteristics of both MobileRobot and Parallel Robot. It could adjust itsposition and orientation to many specialsituations.

• The kinematics characteristics of MPR wereanalysed and a simulation was made to verifytheir correctness.

• After analyzing the main error sources ofMPR, a completed error model, the errordetecting and error compensating methodwere set up to increase the precision of MPR.

• At last, an experiment with a vision systemwas done to certificate that the result met theprecision requirement.

The Structural Diagram of Mobile Parallel Robot (MPR)

On the LVI-based Numerical Method (E47 Algorithm) for Solving Quadratic Programming Problems

Yunong Zhang, Senbo Fu, Zhijun Zhang, Lin Xiao, and Xuezhong LiSchool of Information Science and Technology, Sun Yat-sen University

Guangzhou, China

• In this paper, a numerical method (termed, E47 algorithm) based on linear variational inequalities (LVI) is presented to solve quadratic programming (QP) problems which are simultaneously subject to linear equality, inequality and bound constraints.

• A ``bridge’’ theorem is presented for such constrained QP problems to be converted into LVI, and then to piecewise-linear projection equations (PLPE). The E47 algorithm is finally employed to solve the resultant PLPE, LVI and QP.

• The numerical comparison results between such an E47 algorithm and the active set algorithm further substantiate the efficacy and superiority (e.g., 168 times faster than MATLAB Quadprog) of the presented E47 algorithm for QP solving.

ME‐1(5) 17:20‐17:40 Room

The Control System and Experiments of a Miniature Autonomous Reconnaissance Robot

Change ZhengSchool of Technology, Beijng Forestry University

Beijing, China

• Hardware of the control system of this miniature reconnaissance robot.

• Reactive behaviors are implemented in this paper.

• Some experiments including obstacle-avoidance and finding-cover.

• We make some conclusion.

The miniature reconnaissance robot

T-5

ME‐2 : Evaluation and Optimization I

Session Chairs: Prof. Jason Gu and Prof. Lisheng Xu

Room: Haoyi Hall, 16:00‐17:40, Monday, 15 August

ME‐2(1) 16:00‐16:20 ME‐2(2) 16:20‐16:40

SLAM Algorithm with Parallel Localization Loops : tinySLAM 1.1

Oussama El Hamzaoui, Bruno SteuxRobotics Center, Mines ParisTech

Paris, France

• The localization quality in a SLAM algorithm depends on several parameters.

• With a fast and light weight SLAM algorithm, a position estimation algorithm can be run with different parameters simultaneously.

• The best localization result is kept and the others updated.

Score comparison : the lower the score, the better the position

estimation. Combination of two localization loops ensures the

lowest score

Travel Time Analysis of Stewart-Gough Platform in Automated Storage and Retrieval System

Bashir Salah, Muawia Ramadan and Bernd NocheTransport Systems and Logistics Department, University Duisburg-Essen

Duisburg, Germany

• Increasing system throughput. By Decreasing access time in SGP-AS/RS.

• Decreasing investment cost. By Replacing SGP instead of stacker crane.

• Decreasing operational cost. By Reducing the consumed energy.

• Decreasing the utilized area. By utilizing the height of warehouse instead of length .

Rack feeder based on the Stewart-Gough Platform

ME‐2(3) 16:40‐17:00 ME‐2(4) 17:00‐17:20

Tacit Knowledge Sharing Result Evaluation Based on Improved AHP

Xu Yuanlin, Gao Peng, Liu Zengliang and Xu Peng

School of Management of Graduate School,The Chinese Academy of Sciences,Beijing,China

• When evaluating the effect of the exchange and sharing of tacit knowledge, it needs to set a reasonable model for its evaluation from the effect factors.

• The main factors that effect the tacit knowledge exchange and

• The effect evaluation of tacit exchange and sharing based on AHP

• The tacit knowledge sharing evaluation based on improved AHP

Fig.1 quantitative hierarchical evaluation model of tacit knowledge

An Adaptive Stochastic Search AlgorithmLiu Changjun, Wei Junhu, Qiao Yan, Gao Yixing, Sun GuojiInstitute of Systems Engineering, Xi’an Jiaotong University

Shaanxi, China

• The algorithm shifts from area-dispersed search to area-centralized search by automatically adjusting search domains of individuals with iteration.

• It allows individuals to randomly enlarge their search radiuses in the search process when dealing with some difficult tasks.

• It performs significantly better than PSO, FS and GAFS and is easy to implement.

The Search Domain of ASS

ME‐2(5) 17:20‐17:40 Room

Study of Performance Evaluation for Forest Products Supply Chain Management on Multi Agent

Liqing Meng, Qin Long and Jiangxiao LuoSchool of Mechanical and Transport, Southwest Forestry University

Kunming, China

• Taking forest products supply chain management performance evaluation as research object; building forest products supply chain performance evaluation index; using the evaluation method to weighted scores and Multi-Agent technology to make the forest products supply chain performance evaluation intelligent, provide the basic conditions for obtaining effective of the implementation of supply for the forest products industry chain management.

Supply Chain Management

T-6

ME‐3 : Network and Vehicle II

Session Chairs: Prof. Shuxiang Guo and Prof. Xiaoling Ye

Room: Haoxin Hall, 16:00‐17:40, Monday, 15 August

ME‐3(1) 16:00‐16:20 ME‐3(2) 16:20‐16:40

Automatic Identification Technology-Application Of Two-Dimensional Code

Tao Sun and Di ZhouAdvanced Control Systems and Technology

University of Shandong PolytechnicJinan, China

This paper describes the currentapplication status of 2D-code in China, through the analysis to find itsdeficiencies in application. Then itmade study in logistic, health care and defense military. These applications will help to put forward the development of two-dimensional code,promote China's development of information technology, drive China's economic growth.

Two-Dimensional Code

A Fuzzy Decision Based Intelligent QoS Multicast Routing Algorithm

Junwei Wang, and Zhaoxia WuDepartment of Automation, Northeastern University at Qinhuangdao

Qinhuangdao, China

• In the network, the occurrence of inaccurate information is unavoidable.

• Fuzzy mathematics and Probability theory are two main ways to solve the problem of network inaccurate parameters.

• Artificial Fish Swarm (AFS) algorithm can solved the problem of combinatorial optimization effectively.

• A flexible QoS multicast routing algorithm based on AFS is presented and Simulations have shown that the proposed algorithm is feasible and effective.

ME‐3(3) 16:40‐17:00 ME‐3(4) 17:00‐17:20

A Novel Bidirectional Battery Energy Controller for Plug-in Hybrid Electric Vehicle

Zheng Chen, Hui Lin, Bingqiang Li and Rong QiSchool of Automation, Northwestern Polytechnical University

Xi’an, Shaanxi Province, China• A bidirectional battery energy controller

for the PHEV is introduced.

• The system controls the charging voltage and charging current based on the direct current control strategy and intelligent Proportional- Integral- Differential (PID) controller.

• The system could charge the battery from constant current charge mode to constant voltage charge mode smoothly..

• The simulation results show the effectiveness and feasibility of system.

The topology and simulation of system

A Novel Cluster Head Selection Method Using Energy for ZigBee Cluster-Tree Network

Shu-bo QIU, Yuan XU and Xiu-wei YANG

School of Electrical Engineering and Automation, Shandong Polytechnic University

Jinan, ChinaTo solve the problem that the cluster heads consume a

lot of energy in the cluster tree network, a new methodwhich can balance energy consumption and improve theenergy utilization ratio is proposed in this paper. Thismethod employs the existed network address resource toselect the reserved cluster head. By this method, theconvert of network structure which caused by changingcluster head is also reduced. The simulation result showsthat the data transfer rate has been improved and theenergy consumption of network has been balanced.

ME‐3(5) 17:20‐17:40 Room

The Choice of Private Cars Impact on Vehicle Routing Schemes in City Logistics Distribution

Xin-quan LIUCollege Of Economics and Management, Guangxi Teachers Education University

Nanning, China;

• Nan ning is the capital of Guangxi province.

• I am a teacher of Guang xi Teachers Education University.

• My Area Studies are Logistics and Transportation.

T-7

ME‐4 : Supply Chain Management

Session Chairs: Prof Chengjin Zhang and Dr. Wei Liu

Room: Haohua Hall, 16:00‐17:40, Monday, 15 August

ME‐4(1) 16:00‐16:20 ME‐4(2) 16:20‐16:40

A Review of the Adoption of Supply Chain Management in Construction

Rui Zhang and Dehua LiTianjin Institute of Urban Construction

Tianjin, China

• Concepts and characteristics of construction supply chain(CSC).

A typical construction supply network

• Implementing conditions.

• Limitations and obstacles.

• Implementing modeling.

• Evaluating factors and indicators.

• Evaluating methodology.

Application of Human-Machine Modeling Technique in the Flight Safety Simulation of Civil

Aircraft Wei Zhang, Zhi Ma, Hui Li and DaPeng Guo

College of Aeronautics, Northwestern Polytechnic Xi’an, China

• The flight safety analysis model in this paper is constructed based on pilot error and aircraft failure.

• Using the flight safety analysis model, a software evaluation system for flight safety simulation is also developed based on the object-oriented technique.

• An example is adopted to illustrate the feasibility and effectiveness of the developed models and software in evaluating the flight safety.

Simulation of a flight accident

ME‐4(3) 16:40‐17:00 ME‐4(4) 17:00‐17:20

Study of Optimal Capacity Planning for Remanufacturing Activities in Closed-Loop

Supply Chain using System Dynamics ModelingLili Wang, Tomohiro Murata

IPS, Waseda UniversityFukuoka, Japan

• Background.

• Problem Definition.

• Methodological Approach.

• Case Study

• Conclusion and Future Work.

Closed-Loop Supply Chain

The simulation and optimizing of different distribution strategies for the distribution centre

based on FlexsimXiangguo Ma, Yimin Yin, Tongjuan Liu

Beijing Wuzi UniversityBeijing, China

• Flexsim software can model discrete-time system; it is an ideal choice to plan the distribution center simulation and logistics system.

• Average efficiency of single picking strategy is higher than batch picking strategy when they are under the same storage conditions. This research will provide a decision support of optimizing of distribution center picking work. The panorama gram of the simulation model

ME‐4(5) 17:20‐17:40 Room

Supplier Selection Analysis under the Green Supply Chain

Xiangguo Ma, Tongjuan LiuBeijing Wuzi University

Beijing, China

• This thesis aims to give an evaluation index system of supplier selection which is based on the green supply chain.

• This system is associated with DEA/AHP comprehensive analysis, and assessing the comprehensive performance of supplier, and adapting to the commented objects and evaluation methodology under the green supply chain.

• This supplier selection model has the following characteristics.

• 1. By researching the content and the model of Green supply chain, supplier evaluation index system was established under the green supply chain.

• 2. It is only aiming to make appropriate index for this company; it can fulfill the profit maximum for this company.

T-8

Tuesday August 16, 2011

TA-1 Transportation System

TA-2 Intelligent Control and Automation

TA-3 Logistics I

TA-4 Automation Control I

TP-1 Modeling, Identification and Simulaition I

TP-2 Planning, Scheduling and Coordination

TP-3 Logistics II

TP-4 Automation Control II

TE-1 Modeling, Identification and Simulation II

TE-2 Evaluation and Optimization II

TE-3 Simulation and Optimization

TE-4 Computer Vision

TA‐1 : Transportation System

Session Chairs: Prof. Chengjin Zhang and Dr. Shuang Song

Room: Haojing Hall, 10:20‐12:00, Tuesday, 16 August

TA‐1(1) 10:20‐10:40 TA‐1(2) 10:40‐11:00

Engineering Practice of Measurement Information Online Intelligent Test and

Evaluation in Changchun GridXilin Zhang1,Lei Li2 and Yongchao Zhang3

Changchun Power Supply CompanyChangchun, China

• Introduction.• ONLY PowerPoint file in

PPT file format will be accepted.

• Theoretical and Practical Basis .

• System Overview .• The Main Function and

Implementation.• Conclusion. The diagram of system structure

• Reasons for slow development of courier industry– unfavorable cultural and legal

environment – backward transportation– poor courier service– insufficient internet

penetration

• Regulation Guidance– favorable policies and strong

execution – infrastructure construction

Transportation Infrastructure

Courier Industry

Payment

Software Support

Courier Infrastructure

Internet Penetration

B2C E-commerce

Figure 1 B2C E-commerce and Courier Service Development Model

Culture-legal Environment

Courier Service

Courier Industry Development Analysis ofunderdeveloped Region in China

GAO AixiongSchool of Economics and Management, Xi’an Uni of Posts&Telecoms

Xi’an, China

TA‐1(3) 11:00‐11:20 TA‐1(4) 11:20‐11:40

Study on the Speed and Location System for Low Speed Maglev Vehicle

Chunhui Dai, Xianglei Song,Fengshan Dou and Zhiqiang LongCollege of Mechaeronics Engineering and Automation,

National University of Defense Technology, Changsha, Hunan Province, China

• several speed and location detection methods of the maglev rail transportation are simply discussed .

• the method of inductive looped-cable is mainly introduced and its principle is given.

• the amplitude detection method and the phase detection method are analyzed in details, which are based on the inductive looped-cable.

Low Speed Maglev Train

Investigation of Dynamic Characteristic of Forward Swept Folding Wing

Kun Jiang, Wei Zhang, XiaoWu Xu and Zhi MaCollege of Aeronautics, Northwestern Polytechnic

Xi’an, China

• The first two natural frequencies of the wing increase with the increase of the stiffness of the hinge.

• The torsion natural frequencies are almost unchanged with the increase of the stiffness of the inner hinge, and the torsion stiffness of the wing can be improved with the increase of the stiffness of the outer.

• The folding angle seriously affects the torsion modes and nearly does not affect the bend.

The finite element model of the unfolded wing

TA‐1(5) 11:40‐12:00 Room

Dynamical modeling and controller design of four wheels driven on three-dimensional terrain

Hehe Yi, Wei Zhang, Zhi Ma, Tao LiCollege of Aeronautics, Northwestern Polytechnic University

Xi’an, China

• Whole model, kinematics and dynamics analysis

• State-space equations

• Design of control system

• Simulation results analysis

Force Analysis Of The Vehicle

x

y

z

o

gogxgy

gz

yflF

yfrF

yrlF

yrrF

gflF

gfrF

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grrFG

xfrF

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xrrF

T-9

TA‐2 : Intelligent Control and Automation

Session Chairs: Shujiang Li and Yongchuan Tang

Room: Haoyi Hall, 10:20‐12:00, Tuesday, 16 August

TA‐2(1) 10:20‐10:40 TA‐2(2) 10:40‐11:00

Position Control of Ball and Plate System Based on Switching Mechanism

Fei Zheng, Xiaoli Li, Shangjun Wang, and Dawei DingSchool of Automation and Electrical Engineering, University of Science and Technology Beijing

Beijing, China

• The mathematical model of the ball and plate system is derived.

• The analysis of the applications of different types of PID controllers is given.

• The controller by using switching mechanism is proposed for position control of the ball and plate system.

• All these algorithms are tested on the GPB2001 ball and plate system experimental platform.

The Ball and Plate System

Stabilize the Planar Single Inverted Pendulum Based on LQR

Liu Feng, Tang Yongchuan, and Qi QianCollege of Computer & Information Science, Southwest University

Beibei, China

• The model of planar single inverted pendulum is built.

• Two Linear Quadratic Regulator (LQR) controllers are designed to stabilize the inverted pendulum.

• Some simulation experiments are done in the MATLAB software and the results perform great.

• To continue this study, some real experiments are on the way.

The Planar Inverted Pendulum

Y

X

+-

+

-

M

TA‐2(3) 11:00‐11:20 TA‐2(4) 11:20‐11:40

Stabilization of the Double Inverted Pendulum Based on Discrete-time Model Predictive Control

Qi Qian, Deng Dongmei, Liu Feng and Tang YongchuanCollege of Computer & Information Science, Southwest University

Beibei, China

• The accurate mathematical model of the double inverted pendulum is introduced.

• The discrete-time model predictive control technology, which is based on Lagurre series, is used to stability the double inverted pendulum.

• Some simulation experiments in MATLAB are used to demonstrate this novel control method is available in dealing with the stability of the inverted pendulum.

The Double Inverted Pendulum

Design for Air Conditioning Evaporator Superheat Based On Direct Adaptive

Fuzzy Controller

Li Shujiang, Liang Tao, Wang Xiangdong and Kong Lixin

School of Information Science and Engineering, Shenyang University of Technology, Shenyang

TA‐2(5) 11:40‐12:00 Room

Based on Intelligent Controller Design of Automotive Engine Cooling in AVR

Microcontroller

Li Shujiang, Shan Chaoying, Wang Xiangdong and Kong Lixin

School of Information Science and Engineering, Shenyang University of Technology, Shenyang

T-10

TA‐3 : Logistics I

Session Chairs: Prof. T.‐J. Tarn and Prof. Xiaoling Ye

Room: Haoxin Hall, 10:20‐12:00, Tuesday, 16 August

TA‐3(1) 10:20‐10:40 TA‐3(2) 10:40‐11:00

Logisitics Cost Management Based on ABC and EVA Integrated Mode

Xiaoling YeSchool of Finance and Economics, Chongqing Jiaotong University

Chongqing, China

• Logisitics cost management has become the core of logisitics management

• The current logisitics cost financial accounting has the system defects

• ABC and EVA integrated mode is quite useful for the logisitics cost management

• Based on the complete cost information, the ABC and EVA integrated system can help the supervisor achieve the idea transformation from the profitability to value-creating ability.

Research on the Selection of Enterprise Logistics Strategic Paths from the Perspective of

Competitive StrategiesZhang Jian-ming

Huaxia College, Wuhan University of Technology,Wuhan, Hubei Province, China

• The core elements of logistics capability contain the factors of logistics costs and logistics service.

• Based on the matrix model of logistics capability, the possible change paths of interval 1, 2, 3, 4, 5, 6, 7, 8 and 9 are shown as fig.1.

• One being able to match with the type of competitive strategies is called valid path, otherwise, it is called invalid path.

• For enterprises, to select the logistics strategic path has five steps.

Invalid path

Valid path

Fig. 1 Paths diagram of logistics strategy

13 2

6

8 79

45Logi s t ic sservice

High

Medium

Low

Low Medium High

Logistics costs

TA‐3(3) 11:00‐11:20 TA‐3(4) 11:20‐11:40

A Fast Method to Evaluate the Runway Capacity at the Airport Based on Arrival/Departure

Capacity CurveShidong Wang, Yue Zhang, Peihan Wen and Haiyang YuChina Academy of Civil Aviation Science and Technology

Chongqing University

• The paper proposes a fast method to evaluate the runway which is based on the arrival-departure curve and statistical analysis and overcome the boundedness of historical data.

• A balance between the precision and implementing difficulty comparing with the traditional methods.

• The idea to collaborate with other technologies are proposed.

Final result of evaluating capacity

微电子学研究院微米纳米加工技术国家级重点实验室

Group Meeting Dong-Ming Fang April 18,2008

Simulations

and Analysis

Attitude Updating Algorithm of SINS and Composite Application

Rotation Vector

optimized

Algorithm

Classic

Quaternion

Maneuvering

Criterion

and Algorithm

Switching0

-1

0

19

-

,

tk tkk

k k

k

iki k

a aJ

T

J J or J J

J J

，

ZHANG Shangmin, Li Chunwen, Cheng HaoDepartment of Automation, Tsinghua University

Beijing, China

TA‐3(5) 11:40‐12:00 Room

Development and Sustainable Strategies of RITS in China

Chaozhe JIANG1,2，Jin YANG1, Jixue YUAN3

1 College of Transportation &Logistics, Southwest Jiaotong University, Chengdu, China2Department Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, N3L

3G1, Canada, 3School of Physical Education, Yunnan Normal University, Kunming, Yunnan, China

• The basic concepts of RITS

• The necessity of RITS in China

• The system architectures of RITS in China

• Sustainable development strategies for RITS in China

Overview of RITS

RITSHigher safety, larger capacity, higher operational effectiveness & efficiency and higher quality of services,

RailwayTransportationScience(RTS)

ComputerCommunicationControl(3C)

ArtificialIntelligence(AI)

T-11

TA‐4 : Automation Control I

Session Chairs: Peof. Mingyu Fu and Dr. Jin Feng

Room: Haohua Hall, 10:20‐12:00, Tuesday, 16 August

TA‐4(1) 10:20‐10:40 TA‐4(2) 10:40‐11:00

Amphibious Hovercraft Course Control Based on Support Vector Machines Adaptive PID

• Maneuverability of amphibious hovercraft is studied.

• Support vector machines is used to identify the system nonlinear model.

• Parameters of PID are tuned based the SVM system model for course control with different disturbances. Amphibious hovercraft

Xiaocheng Shi, Zhenye Liu, Mingyu Fu, Chenglong Wang Department of Automation,Harbin Engineering University, Harbin ,China

Terminal Sliding Mode Tracking Control for Dynamic Positioning J-lay Vessel

Xiaocheng Shi, Wenbo Xie, Mingyu Fu, and Xingyan SunDepartment of Automation, Harbin Engineering University

Harbin, China

• J-lay DP model is established for simulation .

• Passive nonlinear observer is used to filter high frequency motions and give estimation for immeasurable states.

• Terminal sliding mode controller is proposed to implement tracking control task.

• Reference model is designed to be suitable for pipe lay operation. Pipe Lay and Vessel Path

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d

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touchdownL

TA‐4(3) 11:00‐11:20 TA‐4(4) 11:20‐11:40

Active Pendulation Control System For theUnderactuated Davit

Lihua Liang, Hongyu Shi, Chunyang Wang, Jiguang Song and Tian Wu Department of Automation , University of Haerbin Engineering

Haerbin, China• This paper considers an active control

system that reduces pendulation of suspended loads for the underactuated characteristic of the three-dimensional davit system.

• The dynamic model is established with the Lagrange equation and the anti-swing controller of davit system is designed based on the system’s energy.

• The stability of closed-loop system is proved by Lyapunov stability theory and LaSalle invariance principle.

• Simulation results demonstrate that the active pendulation control system is effective.

Davit system model

Krein Space Approach to Robust Filtering for Multiple Uncertain Systems

Jin Feng, Fei Yu, Na Yang, Pengyu Zhang, Wei Gao, and Xin ZhangCollege of Automation, Harbin Engineering University

Harbin, China• In this paper, a new Krein space approach to robust

filtering for linear systems with multiple uncertainties is developed.

• The multiple uncertainties satisfy the energy type constraints, entering into both state and measurement equations. The proposed approach is used to tackle the sub optimization problem arising from a sum quadratic constraint (SQC) of system uncertainties.

• To this end, a novel Krein space formal system is designed. Then recursive estimation is derived from the formal system. Also, the necessary and sufficient condition for the estimation to be optimal is proposed.

• Finally, a numerical example is given to demonstrate the effectiveness of the proposed approach.

TA‐4(5) 11:40‐12:00 Room

Current Situation and Trends ofIndustrial Control Configuration Software

Yaing Luo, Shiqiang ZhangMathematic Teaching Room, College of Basic Medicine, Chongqing Medical University

Chongqing, China

• By this paper, the background for the occurrence of the industrial control configuration software is analyzed.

• The connotation of configuration software is given, and the architecture of it is constructed.

• Finally, the six development trends of configuration software are predicted, they are: function customization, function extension, application expansion, monitor networking, software standardization and platform isomerization.

T-12

TP‐1 : Modeling, Identification and Simulation I

Session Chairs: Prof. Yong Yu and Prof. Lisheng Xu


TA‐1(1) 10:20‐10:40 TA‐1(2) 10:40‐11:00

Virtual Reconstruction of Crack with Genetic Algorithm and B-spline Curve in Bridge Remote

MonitoringGuo Yan, Lian Tang, Benniu Zhang

College of Information Science and Engineering, University of Chongqing Jiaotong, China• The paper introduces virtual

reconstruction of crack with genetic algorithm and B-spline curve in bridge remote monitoring.

• Three steps are adopted to optimize the parameter vector and the number of control points of B-spline.

• The novel method is compared with the methods of direct point connections and least-squares fit of B-spline without optimizing.

The fitting crack curve in smart film

A Stochastic Cournot Bidding Model for Wind Power Producers

Haifeng Zhang, Feng Gao, Jiang Wu, Kun Liu, Qiaozhu ZhaiSKLMS and MOE KLINNS, Xi’an Jiaotong University

Xi’an, Shaanxi

• A Cournot model is employed tostudy the bidding strategies for windpower producers in pool-basedelectricity market.

• One kind of iterative algorithm isused to obtain Nash equilibriumstrategies for producers.

• Numerical results show that theoptimal strategy is highly relevant tothe imbalance prices, and also to theforecasting errors.

Flowchart of Algorithm

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0 0 0,1 ,2 ,, , ,b b b Ip p p

1 1 1,1 ,2 ,, , ,n n nb b b Ip p p

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TA‐1(3) 11:00‐11:20 TA‐1(4) 11:20‐11:40

Approximating Algorithm for RNA Structure Prediction Including Pseudoknots

Zhendong Liu and Yuxiao Dong

School of Computer Science and TechnologyShandong Jianzhu UniversityJinan, China

• RNA structure and tertiary structure could be represented by a set of nested arcs and a set of crossing arc .

• an approximating algorithm is presented to predict RNA pseudoknotted structure,the algorithm takes O(n3) time and O(n) space .

• The preliminary experimental test on the RNA sub-sequences in PseudoBase confirm that the algorithm has good sensitivity and specificity, and are among the most reasonable in the literature.. The computational re

of physalis mottle vi

Dynamic Mechanics and Electric Field Analysis of an ICPF Actuated Fish-like Underwater Microrobot

Baofeng Gao and Shuxiang GuoFaculty of Engineering, Kagawa University, Japan

• In this paper, we will present the Cube Minimum Unit Model according to the hypothesis of considerable mechanical deformation principle of the ICPF actuator, and discuss the material relationships for ICPF actuator being recognized as a isotropic material.

• We also give the electric field and stress analysis of the ICPF actuator based on the equivalent electrical circuit model and resolve the subject of output stress control based on the open-loop response.

Dynamic Analysis of ICPF actuator

• For the fish-like underwater microrobot, we will use ANSYS to give the dynamics analysis and improve the moving performance of the fish-like underwater microrobot by revising the shape of fish fin.

TA‐1(5) 11:40‐12:00 Room

A Research of the Port-HoppingTelecommunication Techniques basedon Non-Linear Feedback Shift Register

(NLFSR)

• The author carried out an improved Port-Hopping scheme based on ciphers.

• The seeding key distributing scheme is based on Diffie-Hellman algorithm.

• The port-hopping sequence generating program is based on Non-linear feedback shift register (NLFSR).

• Introduction of each modules of the system.

• System functional analysis and summary.

Xu Guo (A.P.), Xu NaShandong Jianzhu University Science College

Jinan, China

A Module of the Port-Hopping System

T-13

TP‐2 : Planning, Scheduling and Coordination

Session Chairs: Prof. Shuxiang Guo and Prof. Xiaoling Ye


TP‐2(1) 14:00‐14:20 TP‐2(2) 14:20‐14:40

Speech Control of

a Teleoperated Mobile Humanoid RobotBaocheng Wang, Zhijun Li and Nan Ding

Department of Automation, Shanghai Jiao Tong University, Shanghai, China

• Propose speech-based teleoperation.

• Incorporate event-based control scheme which overcomes the delay that the network induces.

• Robot vision for image matching and tracking used in searching objects.

The mobile humanoid robot

Real-Time Joystick Control and Experiments of Redundant Manipulators Using Cosine-Based

Velocity MappingYunong Zhang, Ling Xie, Zhijun Zhang, Kene Li, and Lin Xiao

School of Information Science and Technology, Sun Yat-sen UniversityGuangzhou, China

• In this paper, to achieve the real-time joystick control of redundantmanipulators, two schemes are proposed and investigated: onescheme is a cosine-based position-to-velocity mapping, and the otheris a real-time joystick-controlled motion planning (JCMP) scheme.

• The JCMP scheme is formulated as a standard quadratic program(QP) subject to equality and bound constraints.

• For the purpose of experimentation, a numerical algorithm based onpiecewise-linear equations (PLE) is developed for the solution of theresultant QP problem.

• The proposed schemes are implemented on the planar six degrees-of-freedom (six-DOF) motor-driven push-rod robot manipulatorcontrolled by a joystick.

TP‐2(3) 14:40‐15:00 TP‐2(4) 15:00‐15:20

Discrimination of Movement Imagery EEG Based on AR and SVM

Min Li , Liu Yang , Yi Zhang and Yuan LuoChongqing University of Posts and Telecommunications

National Engineering Research&Development Center for Information Accessibility,Research Center of Intelligent System and Robot

• BCI and EEG recognition introduction.

• The brief introduction of traditional discrimination of EEG based on AR and Bayes

• Discrimination of EEG based on AR and SVMa.Burg algorithm is used to estimate the AR coefficient.b.The basic issues of SVM.

• Data acquisition.• Experiments and conclusion.

RBF(default)

Accuracy

RBF(optimal parameter)

A Research on Vehicle Scheduling Problem to Rescue the Victims from Chemical and Biological

Terrorist Attacks1. Zhonghua Liu, Hua Yu, Jie Sui 2. Degang Liu 3. Juyun Wang

1. Graduate University of Chinese Academy of Sciences, Beijing, China2. Academy of Mathematics and Systems Science, Chinese Academy of Sciences , Beijing, China

3. Communication University of China, Beijing, China

• In this paper, we investigate the vehicle scheduling problem for rescuing victims under the context of multi-location chemical and biological terrorist attacks (CBTAs).

• A mathematical model is proposed to choose available hospitals for each victim point according to the prime rescue time and dispatch vehicles to transport victims to hospitals depending on the hospitals’ treatment capacity.

• An ant colony optimization (ACO) with an evaluation function is proposed to solve the vehicle scheduling problem and the performance of ACO is tested on simulation data.

TP‐2(5) 15:20‐15:40 Room

The Development Approaches and Research of Uniform Rules Language Designer

Gehao Lu1, Wei Guo1, Jinyan Li1, Caofan Wu2National Pilot School of Software, Yunnan University, Kunming, China;

School of Information, Yunnan University, Kunming, China)

This paper introduces a plug-in(Visual uniform rules designer) design that is deemed necessary to allow computer programmers to design business rules in eclipse so that the rules generated can work in different rule engines. The method is that some XML schema are created and then a middle convertor converts the XML files, including the graphical rules notation that has been designed in eclipse, to the corresponding rules.

The paper first briefly review relevant aspects of eclipse and XML.Then the design process, test, results and discussion are presented.

T-14

TP‐3 : Logistics II

Session Chairs: Prof. Jiexin Pu and Dr. Shuang Song


TP‐3(1) 14:00‐14:20 TP‐3(2) 14:20‐14:40

RMETC: A Reduction Method to eSPKI Trust Certificate

Daoqing SunCollege of Electronic and Information Engineering, Ningbo University of Technology

Ningbo, China

• 6-tuple description to the eSPKI trust certificate.

• The two basic reduction methods are clutering and transfer.

• It is based on D-S evidence theory and extended SPKI/SDSI.

• The example show us how to use this method.

The Reduction for Trust Clustering and Trust Transfer

)V ,(VV,O),Pl,(BelTI),s (b,C,S,I a11b1111111111111E2AB

)V ,(VV,O),Pl,(BelTI),s (b,C,S ,I a12b1212121212122E2AB

)V ,(VVIntersect),O,(OOIntersect

),TI,t(TITIIntersecNULL), (b,C,S ,I

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1211E2AB

)V ,(VV ,O),Pl,(BelTIs), (b,C,S ,I a2b222222E1AC

)V ,(VV ,O),Pl,(BelTI Null), (Null,C,I ,I a3b333333ECB

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),TI,t(TITIIntersec s), (b,C,S ,I

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UCSSDAP: Ubiquitous Computing Service Security Delegation Authorization Protocol

Daoqing SunCollege of Electronic and Information Engineering, Ningbo University of Technology

Ningbo, China

• The two sub protocols are the primal service authorizationrequisition protocol and the service delegation authorization protocol.

• The basic security methods are encryption, signature and fresh random number.

• The BAN logic is used to analyse its security .

• The the performance analysis are given to show it is a suitablesecurity solution method.

Service authorization requisition (above)

and Service delegation authorization (bellow)

TP‐3(3) 14:40‐15:00 TP‐3(4) 15:00‐15:20

Logistics Service Standardization Based on Value Chain

Xin XinMilitary Transportation University

• The logistics service provides as an important part ofsupply chain, have a core role on providing value-addedlogistics services to their relationships. Logistics servicesinvolve extensive range and which are influenced by people.So how to standardize the services becomes more and moreimportant. In IT era, logistics services are requested strictlyand sufficiently. Service standardization is a necessary choice.The paper analyses the meaning of the logistics servicestandardization and the status of logistics services in value-added activity to the whole supply chain. The main purposeof the standardization is to enhance the core enterprise’scompetition capability through analyzing the value-addedactivities in value chain. It clarifies the models contents of thelogistics services based on value chain.

The Project Schedule Management Model Based on the Program Evaluation and Review Technique and

Bayesian NetworksJin Yong1, 2, Zhao Zhigang2

1. School of Mechanical Engineering, Northwestern Polytechnical University2. China Academy of Space Technology

Beijing, China

• Establish a basic model of PERTBN and detail the simplifying model method.

• Put forward the PERTBN modeling methodology.

• Show the applicable future in the combination of PERT and bayesian network in the project schedule management.

PERTBN model

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ISP

(1)LSt

(2)LSt

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TP‐3(5) 15:20‐15:40 Room

The Study on Real Options Valuation Method of Logistics Enterprises’ Mergers and Acquisitions

Wang Jing, Xu Na,Cheng Mingzhi,Zhu RuixueShandong Jianzhu University

Lingang Development Zone, Jinan, China

• When logistics enterprises make good use of Mergers and Acquisitions, they could achieve a leap in growth.

• Real Option Theory can be applied to investment decisions of logistics enterprises that have flexible orstrategic growth in order to explore various investment opportunities under uncertainty as well as to bring new value.

Cash Flows

Initial Invest.

Year 1 Year 2 Year 3 Year 4 Year 5

Cash Flows

-60.00 15.00 19.00 22.00 24.00 17.00

Discount Rate

0.847 0.718 0.609 0.516 0.437

Present Value

12.71 13.64 13.40 12.38 7.43

Net Present Value

-0.040

T-15

TP‐4 : Automation Control II

Session Chairs: Prof. T.‐J. Tarn and Prof. Mingyu Fu


TP‐4(1) 14:00‐14:20 TP‐4(2) 14:20‐14:40

Laguerre Function Based Multiple Model Predictive Control for Nonlinear System

Xiaoli Li, Xiang Yu, Yao Wang, and Shangjun WangDepartment of Automation, University of Science and Technology Beijing

Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education)Beijing, China

• Multiple linear models based Laguerre function are provided to cover the uncertainty of a nonlinear discrete time system.

• Based on these models, a multiple model predictive controller is given.

• By using an index switching function, the transient response can be improved due to the switching among different models.

The result of multi-model control

0 50 100 150 200 250 300 350 400 450 5000

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2

3

4

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10

15

20

t/s

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0 50 100 150 200 250 300 350 400 450 5000

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40

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Optimizing Adaptive Thrust Allocation Based on Group Biasing method for Ship

Dynamic PositioningXiaocheng Shi, Yushi Wei, Jipeng Ning, Mingyu Fu and Dawei Zhao

Department of Automation, Harbin Engineering UniversityHarbin, China

• A thrust allocation algorithm is proposed to improve the dynamic performances of DP ship.

• the maneuverability and fuelconsumption are both considered in the algorithm.

• Applying the method, singular configurations are solved.

adaptive thrust allocation algorithm.

min

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TP‐4(3) 14:40‐15:00 TP‐4(4) 15:00‐15:20

An Unscented Kalman Filter Based Wave Filtering Algorithm for Dynamic Ship Positioning

Xiaocheng Shi, Xingyan Sun, Mingyu Fu, Wenbo Xie and Dawei ZhaoDepartment of Automation, Harbin Engineering University

Harbin, China

• In this paper the Unscented Kalman Filter method is used for the wave filtering of dynamic positioning ships.

• A nonlinear platform supply vessel model is employed for both the model simulation and the estimator design.

• An approximation method for the first and second order wave force calculation is used to produce the high frequency and low frequency ship motion.

General Structure of Dynamic Positioning System

Control Structure Selection for MIMO Processes: A Practical Guideline

Yunhui Luo, Hongbo Liu, Lei Jia, and Wenjian Cai

School of Control Science and Engineering, Shandong UniversityJinan, Shandong, China

• CS1: Decentralized control. • CS2: Centralized control.• CS3: Sparse control.• CS4: Full decoupling control.

• CS5: Partial decoupling control.

• interaction index array

ij n n

TP‐4(5) 15:20‐15:40 Room

On consensus speed of leader-following Multi-Agent system with an improved

algorithmXiaoyong Zhang1, Guoshan Zhang1 and Shuo Li2

1 School of Electrical Engineering and Automation, Tianjin UniversityTianjin, China

2 School of Mathematical Sciences, Nankai UniversityTianjin,China

• Based on the feature of leader-following multi-agent systems with fixed undirected topology, an improved algorithm is proposed.

• The maximum consensus speed of the improved algorithm is also achieved and it is compared to that of the traditional algorithms. The improved algorithm can achieve a faster consensus speed

T-16

TE‐1 : Modeling, Identification and Simulation II

Session Chairs: Prof. Mingyu Fu and Dr. Wei Liu


TE‐1(1) 16:00‐16:20 TE‐1(2) 16:20‐16:40

Research of User Interest Model Based on Ordered Pair Behavior

Shaohua Wang, Shengtian Liu, Zhongqiang LiuCollege of Computer Science and Technology , Shandong Jianzhu University

Jinan, China• We design a user interest model based on

ordered pair behavior in order to improve the stabilization of the existing models.

• An innovation in this paper is the view that user interest model can be organized by user ordered pair behavior relevance.

• The main idea is to accumulate the value of user behavior, and then subtract the behavior value of some unrelated behavior according to the proportion of correlation.

• The experiment result shows that the stability of interest value in this model is better than the model not associated with behaviors.

Correlation 1 2 3 4

d1 0.067 0.049 0.045 0.051

d2 0.011 0.009 0.010 0.014

d3 0.653 0.442 0.547 0.566

d4 0.000 0.000 0.001 0.001

Correlation Table of User Behavior

Scheduling Optimization for FMS Based on Petri Net Modeling and GA

Zixiang Zhao1, Guoshan Zhang1, and Zhigang Bing2

1 School of Electrical Engineering and Automation, Tianjin UniversityTianjin, China

2 Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin, China

• Introduce the timed place Petri net and model the given FMS based on the Petri net.

• Design the scheduling optimization algorithm by improving the genetic algorithm based on Petri net model.

• Simulate the proposed algorithm through the MATLAB and make comparisons.

The PN model of the FMS

TE‐1(3) 16:40‐17:00 TE‐1(4) 17:00‐17:20

Design of Robust Non-fragile H∞ Fault Detection Filter for Uncertain Delta Operator Systems

Ruiquan Lin, Tao Huang, Chunying WangCollege of Electrical Engineering and Automation, Fuzhou University

Fuzhou, China

• Introduce the problem of fault detection system.• Method of designing robust non-fragile H-inf fault detection

filter for uncertain Delta operator system is proposed in this paper.

• Two simulation experiments are designed in this paper. The perturbation of model and filter parameters are considered in one experiment, and the other without considering perturbation of the filter parameters.

• The simulation results show that robust non-fragile H-inf fault detection filter for uncertain Delta operator systems can detect the fault correctly, but robust H-inf fault detection filter for uncertain Delta operator systems detects the fault before it has occurred.

Fault-Tolerant Control of Dynamic Positioning Vessel after Thruster Failures using Disturbance

Decoupling MethodsMingyu Fu, Jipeng Ning and Yushi Wei

Department of Automation, Harbin Engineering UniversityHarbin, China

Reconfiguration Vessel After Thruster Failure

• A suitable linear state-space model of DP vessel is derived which consists of motions in 3 DOF.

• Control reconfiguration after thruster failures using disturbance decoupling methods is finished.

• The geometric approach is used to solve the disturbance decoupling problem.

• The feasible and effective of this method are demonstrated by a simulation of a DP vessel.

TE‐1(5) 17:20‐17:40 Room

The Evaluation Method Based on Cloud Model for Complex System

Zhi Ma, Wei Zhang, Hui LiCollege of Aeronautics, Northwestern Polytechnic

Xi’an, China

• The cloud model evaluation method is the effective method to evaluation the uncertainty complex.

• The evaluation method based cloud model give consideration to both randomness and fuzziness of complex system, and can make full use of evaluation data of experts.

• The measurement method of cloud comparability was introduced to judge which rating the evaluation result belongs to.

The distributing of evaluation result in the cloud model of evaluation rating

T-17

TE‐2 : Evaluation and Optimization II

Session Chairs: Prof. Jianwei Zhang and Prof. Weirong Huang


TE‐2(1) 16:00‐16:20 TE‐2(2) 16:20‐16:40

Aided Decision-Making System of Accident Operation and Command for Local Power Grid in

ChangchunXilin Zhang1,JiYong Li2,Chenghong Jiang3,Bing Liu4 and Aizhou Yang5

Changchun Power Supply CompanyChangchun, China

• Introduction.

• The description of technology achieving.

• System Structure, Function and Its Realization .

• Conclusion.

The hardware structure of the system

Centralized controlstation SCADA

system

Auxiliary decisionworkstation

Auxiliary decisionserver

Design, Optimization and Analysis of Stewart-Gough Platform based Automated Storage /

Retrieval SystemBashir Salah, Mohammed Wasiullah and Bernd Noche

Transport Systems and Logistics Department, University Duisburg-EssenDuisburg, Germany

• Design of SGP-AS/RS.

• Calculation of single command and Dual command cycle Time.

• Decreasing operational cost. By Reducing the consumed energy.

• Optimising the utilized area. By utilizing the height of warehouse instead of length .

Rack feeder based on the Stewart-Gough Platform

TE‐2(3) 16:40‐17:00 TE‐2(4) 17:00‐17:20

An Innovation Design of CNC Lathe Integrated Scheme Based on the Genetic Algorithm

Li-xin Wang, Da-yong Li and Lin-juan Du

School of Mechanical Engineering, Heilongjiang Institute of Science and TechnologyHeilongjiang, China

• It is urgent for the scheme designautomatism among the design, which isthe key to realize the integration of theproduct CAD.

• For the CNC lathe integrated schemeinnovation design, the Darwin’sevolutionism and the CAD techniqueare combined, and the theory andmethod of the hierarchical structureproduct integral conceptual innovationdesign based on the Genetic Algorithmis discussed. The user interface

Design Problems

Hierarchical Function

Structures

The Mapped Relation between

the Function and Function

Knowledge Base

Combined Scheme

Optimal Scheme

Knowledge Base

Analysis

Build

Evaluation

Evolution

The system model

Research of grading’s influence on asphalt mixture’s water stability

Weirong Huang1 Tao Liu2 Donglai Yang21 Chongqing Key Laboratory of Mountain Road Structure and Materials, Chongqing

Jiaotong University, Chongqing, China；2 Guangdong Changda Highway

Engineering Co.Ltd. Guangzhou, China

70

75

80

85

90

95

100

1# 2# 3# 4# 5# 6# 7# 8# 9# 10# 11# 12# 13#

grading number

TSR

(%)

TSR vs. Grading curve shapes of fine aggregate

TE‐2(5) 17:20‐17:40 Room

Study on Grading envelope of AC-16 Asphalt Mixture Based on Rutting Resistance

PerformanceWeirong Huang 1 Ping Yu 2 Xing Huang 3

1. Chongqing Key Laboratory of Mountain Road Structure & Materials, Chongqing Jiaotong University, Chongqing, China；2. Anhui Kexin Traffic Construction

Engineering Supervision Co.Ltd. Hefei, China;3. Chongqing Tongyang Highway

Engineering Co. Ltd . Chongqing ，China

3.0

3.2

3.4

3.6

3.8

4.0

4.2

6# 7# 3# 8# 9#

grading type

rut d

epth

Grading curve shapes of fine aggregate vs. Rut depth

T-18

TE‐3 : Simulation and Optimization

Session Chairs: Prof. Chao Hu and Prof. Xuezhang Hou


TE‐3(1) 16:00‐16:20 TE‐3(2) 16:20‐16:40

Production planning in Dynamic Cellular Manufacturing System using optimization of cell

reconfiguration Planning time horizon with Uncertain Demand

Wanyu LI, Leyi HU and Tomohiro MURATA Graduate School of Information, Production and Systems, Waseda University

Fukuoka, Japan

• Optimal planning time horizon is the extinguished factor of this study

• Production planning , reconfiguration schedule and penalty cost evaluation is the there main sub optimization to decide the optimal planning time horizon

• Sensitivity analysis has been made for map of improvement rate and optimal planning time horizon

Sensitivity analysis for optimal planning time horizon

Bidding System Based Electricity Planning in Multi-Area Electricity Using Game Theory Model

Leyi Hu, Wanyu Li and Tomohiro MurataGraduate School of Information, Production and Systems, Waseda University

Fukuoka, Japan

• In a power grid system, GenCos compete with each other through sealed bid to win the electrical generation right and make profit.

• A semi-automatic pricing mechanism set into three phases is proposed.

The 2-GenCo Bidding System

• A game-theoretical approach is applied in this multi-area situation. The 2-player game is made to be a non-cooperative one with incomplete information. Nash equilibrium point is finally found to be the optimal pricing strategy.

TE‐3(3) 16:40‐17:00 TE‐3(4) 17:00‐17:20

Existence Principle of an Optimal Controlfor a Flexible Beam with Three Turning Axles

Xuezhang HouMathematics Department, Towson University

A flexible robot beam with three turning axles isconsidered in this paper. An evolution equationcorresponding to the beam system formulatedby partial differential equations with initial andboundary conditions is established in anappropriate Hilbert space. Based on the resultsof spectral analysis and semigroup generation ofthe system operator studied previously, anoptimal control of the robot beam system isinvesigated. Finally, an existence principle ofoptimal control is proposed and proved.

Design of A High-Efficiency Quasi-Resonant LED Street-Lamp Power Supply

Jianyu Bao, Chao Hu, and Weibing BaoNingbo Institute of Technology, Zhejiang University

Ningbo, China

• In recent years, LED has been widely used in the street-lamp lighting for its energy-saving and environmentalprotection. In order to meet with the electricalcharacteristic of high-power LED lighting, a quasi-resonant LED street-lamp power supply with high-voltageand constant-current control was designed by usingFAN6300 on the basis of the traditional hard-switchedflyback converter. The operating principle of such powersupply was illustrated. The circuit diagram was given, thecalculation and selection methods of some key circuitparameters were presented. The feasibility andeffectiveness of the whole design were verified byexperimental results.

TE‐3(5) 17:20‐17:40 Room

Multi-rate Sensors Adaptive Data FusionAlgorithm Based on Incomplete

MeasurementShusheng XU, Xiaogong LIN, Mingyu FU, Dawei ZHAOCollege of Automation, Harbin Engineering University

Harbin, Heilongjiang, China

• The algorithm has a faultdetection algorithm and a switchcontroller to adaptively choosemeasurements and subsystems.

• Making use of the current andpriori estimates to improve thefusion accuracy.

• With transient failure, the statepredicted value of subsystem willbe used for the global estimate. Proposed algorithm

T-19

TE‐4 : Computer Vision

Session Chairs: Prof. Yunong Zhang and Prof. Jiexin Pu


TE‐4(1) 16:00‐16:20 TE‐4(2) 16:20‐16:40

Edge Detection of Plant Roots Image Based on Genetic BP Neural Network

Guo Jing1, Song Wenlong2, Jia Heming31,2 College of Mechanical and Electrical Engineering ,Northeast Forestry University, China

3 College of Automation, Harbin Engineering University, China• Genetic BP neural network is used for

extracting the edge of roots image in this article.

• Genetic BP neural network uses BP algorithm solves accurately after getting the range of initial weight values by training the network with genetic algorithm first.

• This hybrid algorithm has been proven anexcellent anti-noise performance and can avoid inducting of false edge and the loss of edge details.

• A dynamic parameter of plant roots morphology is given in this article as the application of roots edge detection and future study on the vegetation for slope protection.

edge detection by a three-layer feed-forward genetic BP neural network

Technologies of Global Vision-BasedGolf Ball Collection Robot

Zhiqiang Ma and Hyongsuk KimDivision of Electronics & Information Engineering Chonbuk National University

Jeonju, Republic of Korea

• Artificial mark based Robot recognition and orientation determination

• Effective regions recognition using saturation filter.

• Optimal path computation based on TSP solution for visiting every effective region.

• Obstacle avoidance.

• Spiral Scanning in one effective region Simulator of Real Robot

TE‐4(3) 16:40‐17:00 TE‐4(4) 17:00‐17:20

Functional gene prediction with vital reduced features: Further topics for feature reduction and evaluation criteria

for classifiers

Xiaochuan Ai a, Jingbo Xia b

a. College of science, Naval university of engineering, Wuhan, Chinab. College of science, Huazhong agricultural university, Wuhan, China

• We developed our previously developed method to predict the solubility of proteins.

• Feature reduction methods are discussed.

• We discussed the criteria for classifier accuracy and reliablity.

• This work is a conclusion of the current work of Dr.Xia’s team in bioinformatics and pattern recognition.

Comparison of amino acid Occurrence chances

0 A R N D C Q E G H I L K M F P S T W Y V0

2

4

6

8

10

12

14

16

18

20

Residues name

Occ

uren

ce c

ount

Occurence chances of 20 residues in the TOP 100 vital features

An Improved Back Propagation Neural Network in Objects Recognition

Lei Zhang, Jiexin PuElectronic Information Engineering College, Henan University of Science &Technology

Luoyang,China

• The BPNN can easily be trapped into a local minimum and has slow convergence.

• We presented a novel algorithm based on improved back propagation neural network from the structure and the algorithm.

• The improved algorithm of BPNN is applied to objects recognition.

• The experiments show that there is an obvious improvement in convergence speed and running time. Different Viewpoint Images

TE‐4(5) 17:20‐17:40 Room

Automatic Disease Diagnosis Systems Using Pattern Recognition Based Genetic Algorithm

and Neural Networks Mahdieh Adeli and Hassan Zarabadipour

Department of Engineering, IK International University Qazvin, Iran

• Presenting three disease diagnosis systems

• The systems have tested the breast cancer and hepatitis disease database.

• Results have been compared to the diagnosis systems with only classification.

• The presented systems improved the diagnosis accuracy.

Block diagram of method

T-20

Session Chair Index

Feng,Jin …………… …………… …………… …………… …………… TA4

Fu,Mingyu …………… …………… …………… …………… …………… TA4

Fu,Mingyu TE1

Fu,Mingyu TP4

Gu,Jason …………… …………… …………… …………… …………… ME2

Gu,Jason MP3

Guo,Shuxiang …………… …………… …………… …………… …………… ME3

Guo,Shuxiang TP2

Hou,Xuezhang …………… …………… …………… …………… …………… MP3

Hou,Xuezhang TE3

Hu,Chao …………… …………… …………… …………… …………… MP2

Hu,Chao TE3

Huang,Weirong …………… …………… …………… …………… …………… TE2

Li,shujiang …………… …………… …………… …………… …………… TA2

Liu,Wei …………… …………… …………… …………… …………… ME4

Liu,Wei TE1

Pu,Jiexin …………… …………… …………… …………… …………… TE4

Pu,Jiexin TP3

Song,Shuang …………… …………… …………… …………… …………… TA1

Song,Shuang TP3

Tang,Yongchuan …………… …………… …………… …………… …………… TA2

Tarn, T.-J. …………… …………… …………… …………… …………… TA3

Tarn, T.-J. TP4

Xu,Lisheng …………… …………… …………… …………… …………… ME2

Xu,Lisheng MP2

Xu,Lisheng TP1

Ye,Xiaoling …………… …………… …………… …………… …………… ME3

Ye,Xiaoling TA3

Ye,Xiaoling TP2

Yu,Yong …………… …………… …………… …………… …………… MP4

Yu,Yong TP1

Zhang,Chengjin …………… …………… …………… …………… …………… ME4

Zhang,Chengjin MP4

Zhang,Chengjin TA1

Zhang,Hong …………… …………… …………… …………… …………… ME1

Zhang,Hong MP1

Zhang,Jianwei …………… …………… …………… …………… …………… MP1

Zhang,Jianwei TE2

Zhang,Yunong …………… …………… …………… …………… …………… ME1

Zhang,Yunong TE4

IEEE ICAL2011 Session Chair Index

S-1

IEEE ICAL2011 Session Chair Index

S-2

Author Index

A

Adeli,Mahdieh ………… TE-4.5

Ai,Xiaochuan ………… TE-4.3

Azizi,Vahid ………… MP-1.4

B

Bao,Jianyu ………… TE-3.4

Bao,Weibing ………… TE-3.4

Berger,Jean ………… MP-3.3

Bing,Zhigang ………… TE-1.2

Boukhtouta,Abdeslem ………… MP-3.3

C

Cai,Wenjian ………… TP-4.4

Chen,Fang ………… MP-4.2

Chen,Zenan ………… MP-4.2

Chen,Zheng ………… ME-3.3

Cheng,Hao ………… TA-3.4

Cheng,Mingzhi ………… TP-3.5

D

Dai,Chunhui ………… TA-1.3

Debbabi,Mourad ………… MP-3.3

Deng,Dongmei ………… TA-2.3

Ding,Dawei ………… TA-2.1

Ding,Nan ………… TP-2.1

Dong,Yuxiao ………… TP-1.3

Dou,Fengshan ………… TA-1.3

Du,Linjuan ………… TE-2.3

E

El

Hamzaoui,Oussama ………… ME-2.1

F

Feng,Jin ………… TA-4.4

Fischer,Roland ………… MP-3.1

Fu,Mingyu ………… TA-4.1

Fu,Mingyu TA-4.2

Fu,Mingyu TE-1.4

Fu,Mingyu TE-3.5

Fu,Mingyu TP-4.2

Fu,Mingyu TP-4.3

Fu,Senbo ………… ME-1.4

G

Gao,Aixiong ………… TA-1.2

Gao,Baofeng ………… TP-1.4

Gao,Feng ………… TP-1.2

Gao,Junyao ………… ME-1.2

Gao,Peng ………… ME-2.3

Gao,Wei ………… TA-4.4

Gao,Yixing ………… ME-2.4

Ge,Yunjian ………… MP-4.3

Ghanmi,Ahmed ………… MP-3.3

Günthner,Willibald A. ………… MP-3.1

Guo,Dapeng ………… ME-4.2

Guo,Jing ………… TE-4.1

Guo,Shuai ………… MP-1.1

Guo,Shuxiang ………… TP-1.4

Guo,Wei ………… TP-2.5

H

Haghighat,Abolfazl T. ………… MP-1.4

Han,Huijian ………… TP-1.3

Han,Xiaojuan ………… MP-4.2

Han,Xiaojuan MP-4.4

Hao,Deguo ………… MP-2.5

Hou,Xuezhang ………… TE-3.3

Hu,Chao ………… MP-2.4

Hu,Chao TE-3.4

Hu,Chengzhong ………… MP-4.1

Hu,Leyi ………… TE-3.1

Hu,Leyi TE-3.2

Hu,Yiming ………… MP-2.5

Hu,Ying ………… ME-1.3

Huang,Qiang ………… ME-1.2

Huang,Qiang MP-1.2

Huang,Tao ………… TE-1.3

Huang,Weirong ………… TE-2.4

Huang,Weirong TE-2.5

Huang,Xing ………… TE-2.5

Huang,Yuancan ………… ME-1.2

Huang,Yuancan MP-1.2

I

Islam,Md Monirul ………… MP-1.1

Islam,S. ………… MP-1.3

J

Jia,Heming ………… TE-4.1

IEEE ICAL2011 Author Index

A-1

Jia,Lei ………… TP-4.4

Jiang,Chaozhe ………… TA-3.5

Jiang,Chenghong ………… TE-2.1

Jiang,Kun ………… TA-1.4

Jin,Yong ………… TP-3.4

Ju,Tao ………… MP-2.3

K

Kim,Hyongsuk ………… TE-4.2

Kong,Lixin ………… TA-2.4

Kong,Lixin TA-2.5

L

Li,Baopu ………… MP-2.4

Li,Bingqiang ………… ME-3.3

Li,Chunwen ………… TA-3.4

Li,Dayong ………… TE-2.3

Li,Dehua ………… ME-4.1

Li,Hengwu ………… TP-1.3

Li,Hui ………… ME-4.2

Li,Hui MP-1.2

Li,Hui TE-1.5

Li,Jicheng ………… ME-1.3

Li,Jinyan ………… TP-2.5

Li,Jiyong ………… TE-2.1

Li,Kene ………… ME-1.1

Li,Kene TP-2.2

Li,Lei ………… TA-1.1

Li,Lin ………… MP-2.2

Li,Min ………… TP-2.3

Li,Shujiang ………… TA-2.4

Li,Shujiang TA-2.5

Li,Shuo ………… TP-4.5

Li,Tao ………… TA-1.5

Li,Wanyu ………… TE-3.1

Li,Wanyu TE-3.2

Li,Wenye ………… MP-3.4

Li,Xiangpeng ………… MP-1.5

Li,Xiaoli ………… TA-2.1

Li,Xiaoli TP-4.1

Li,Xuezhong ………… ME-1.4

Li,Yue ………… ME-1.2

Li,Yue MP-1.2

Li,Yunhua ………… TP-3.3

Li,Zhengwei ………… MP-4.3

Li,Zhijun ………… TP-2.1

Liang,Lihua ………… TA-4.3

Liang,Tao ………… TA-2.4

Lin,Hui ………… ME-3.3

Lin,Ruiquan ………… TE-1.3

Lin,Xiaogong ………… TE-3.5

Liu,Bing ………… TE-2.1

Liu,Changjun ………… ME-2.4

Liu,Degang ………… TP-2.4

Liu,Feng ………… TA-2.2

Liu,Feng ………… TA-2.3

Liu,Hongbo ………… TP-4.4

Liu,Kun ………… TP-1.2

Liu,Peter ………… MP-1.3

Liu,Shengtian ………… TE-1.1

Liu,Shuang ………… MP-1.5

Liu,Shuang MP-2.3

Liu,Tao ………… TE-2.4

Liu,Tongjuan ………… ME-4.4

Liu,Tongjuan ME-4.5

Liu,Tongjuan MP-3.2

Liu,Xinquan ………… ME-3.5

Liu,Zengliang ………… ME-2.3

Liu,Zhendong ………… TP-1.3

Liu,Zhenye ………… TA-4.1

Liu,Zhonghua ………… TP-2.4

Liu,Zhongqiang ………… TE-1.1

Long,Qin ………… ME-2.5

Long,Zhiqiang ………… TA-1.3

Lu,Gehao ………… TP-2.5

Lu,Weiwei ………… ME-1.3

Luo,Jiangxiao ………… ME-2.5

Luo,Yaling ………… TA-4.5

Luo,Yuan ………… MP-2.2

Luo,Yuan TP-2.3

Luo,Yunhui ………… TP-4.4

M

Ma,Xiangguo ………… ME-4.4

Ma,Xiangguo ME-4.5

Ma,Xiangguo MP-3.2

Ma,Zhi ………… ME-4.2

Ma,Zhi TA-1.4

Ma,Zhi TA-1.5

Ma,ZHi TE-1.5


A-2

Ma,Zhiqiang ………… TE-4.2

Meng,Fangyuan ………… MP-4.4

Meng,Liqiang ………… ME-2.5

Meng,Max Q.-H. ………… MP-2.4

Murata,Tomohiro ………… ME-4.3

Murata,Tomohiro TE-3.1

Murata,Tomohiro TE-3.2

N

Ning,Jipeng ………… TE-1.4

Ning,Jipeng TP-4.2

Noche,Bernd ………… ME-2.2

Noche,Bernd TE-2.2

P

Prives,Sergey ………… MP-3.1

Pu,Jiexin ………… TE-4.4

Q

Qi,Qian ………… TA-2.2

Qi,Qian TA-2.3

Qi,Rong ………… ME-3.3

Qiao,Yan ………… ME-2.4

Qiu,Shu-Bo ………… ME-3.4

R

Ramadan,Muawia ………… ME-2.2

Ray,Sujoy ………… MP-3.3

S

Saddik,A. EI ………… MP-1.3

Salah,Bashir ………… ME-2.2

Salah,Bashir TE-2.2

Salfer,Michael ………… MP-3.1

Shan,Chaoying ………… TA-2.5

Shen,Yanhua ………… MP-2.5

Shi,Hongyu ………… TA-4.3

Shi,Xiaocheng ………… TA-4.1

Shi,Xiaocheng TA-4.2

Shi,Xiaocheng TP-4.2

Shi,Xiaocheng TP-4.3

Soeanu,Andrei ………… MP-3.3

Song,Bo ………… MP-3.5

Song,Jiguang ………… TA-4.3

Song,Wenlong ………… TE-4.1

Song,Xianglei ………… TA-1.3

Song,Zhuoyuan ………… MP-1.1

Steux,Bruno ………… ME-2.1

Sui,Jie ………… TP-2.4

Sun,Daoqing ………… TP-3.1

Sun,Daoqing TP-3.2

Sun,Dong ………… MP-1.5

Sun,Dong MP-2.3

Sun,Guoji ………… ME-2.4

Sun,Hanyu ………… MP-4.3

Sun,Jiabing ………… MP-4.5

Sun,Tao ………… ME-3.1

Sun,Xingyan ………… TA-4.2

Sun,Xingyan TP-4.3

Sun,Yan ………… MP-3.4

T

Tan,Li ………… MP-2.1

Tang,Lian ………… TP-1.1

Tang,Yongchuan ………… TA-2.2

Tang,Yongchuan TA-2.3

Tian,Ye ………… ME-1.2

Tu,Xuyan ………… MP-2.1

W

Wang,Baocheng ………… TP-2.1

Wang,Chenglong ………… TA-4.1

Wang,Chunyang ………… TA-4.3

Wang,Chunying ………… TE-1.3

Wang,Dan ………… MP-4.5

Wang,Jing ………… TP-3.5

Wang,Jingyan ………… MP-2.1

Wang,Junwei ………… ME-3.2

Wang,Juyun ………… TP-2.4

Wang,Lili ………… ME-4.3

Wang,Lixin ………… TE-2.3

Wang,Rui ………… MP-3.1

Wang,Shangjun ………… TA-2.1

Wang,Shangjun TP-4.1

Wang,Shaohua ………… TE-1.1

Wang,Shidong ………… TA-3.3

Wang,Xiangdong ………… TA-2.4

Wang,Xiangdong TA-2.5

Wang,Yao ………… TP-4.1

Wang,Yu ………… MP-3.4

Wang,Zhiyong ………… MP-1.1


A-3

Wasiullah,Mohammed ………… TE-2.2

Wei,Junhu ………… ME-2.4

Wei,Qiang ………… MP-4.1

Wei,Yushi ………… TE-1.4

Wei,Yushi TP-4.2

Wen,Peihan ………… TA-3.3

Wu,Caofan ………… TP-2.5

Wu,Jiang ………… TP-1.2

Wu,Liying ………… MP-1.2

Wu,Qian ………… MP-4.3

Wu,Tian ………… TA-4.3

Wu,Zhaoxia ………… ME-3.2

X

Xia,Jingbo ………… TE-4.3

Xiao,Lin ………… ME-1.4

Xiao,Lin TP-2.2

Xie,Ling ………… TP-2.2

Xie,Wenbo ………… TA-4.2

Xie,Wenbo TP-4.3

Xin,Xin ………… TP-3.3

Xing,Qian ………… MP-3.5

Xiong,Peng ………… MP-2.2

Xu,Guo ………… TP-1.5

Xu,Lisheng ………… MP-2.5

Xu,Na ………… TP-1.5

Xu,Na TP-3.5

Xu,Peng ………… ME-2.3

Xu,Shusheng ………… TE-3.5

Xu,Xiaowu ………… TA-1.4

Xu,Yuan ………… ME-3.4

Xu,Yuanlin ………… ME-2.3

Y

Yan,Guo ………… TP-1.1

Yang,Aizhou ………… TE-2.1

Yang,Donglai ………… TE-2.4

Yang,Jie ………… MP-1.5

Yang,Jie MP-2.3

Yang,Jin ………… TA-3.5

Yang,Liu ………… TP-2.3

Yang,Na ………… TA-4.4

Yang,Xiu-Wei ………… ME-3.4

Yang,Yongwei ………… TP-3.3

Yazdi,Ebrahim ………… MP-1.4

Ye,Xiaoling ………… TA-3.1

Yi,Hehe ………… TA-1.5

Yin,Sainan ………… MP-2.5

Yin,Yimin ………… ME-4.4

Yu,Chongchong ………… MP-2.1

Yu,Fei ………… TA-4.4

Yu,Haiyang ………… TA-3.3

Yu,Hua ………… TP-2.4

Yu,Ping ………… TE-2.5

Yu,Xiang ………… TP-4.1

Yu,Yong ………… MP-4.3

Yuan,Jixue ………… TA-3.5

Z

Zarabadipour,Hassan ………… TE-4.5

Zhai,Qiaozhu ………… TP-1.2

Zhang,Benniu ………… TP-1.1

Zhang,Chao ………… MP-4.1

Zhang,Chengjin ………… MP-4.5

Zhang,Guilin ………… MP-4.1

Zhang,Guoshan ………… TE-1.2

Zhang,Guoshan TP-4.5

Zhang,Haifeng ………… TP-1.2

Zhang,Hao ………… MP-4.4

Zhang,Jianming ………… TA-3.2

Zhang,Jianwei ………… ME-1.3

Zhang,Lei ………… TE-4.4

Zhang,Liancun ………… ME-1.2

Zhang,Liancun MP-1.2

Zhang,Pengyu ………… TA-4.4

Zhang,Rui ………… ME-4.1

Zhang,Ruifeng ………… MP-2.5

Zhang,Ruifeng MP-2.5

Zhang,Shangmin ………… TA-3.4

Zhang,Shiqiang ………… TA-4.5

Zhang,Wei ………… ME-4.2

Zhang,Wei TA-1.4

Zhang,Wei TA-1.5

Zhang,Wei TE-1.5

Zhang,Weimin ………… MP-1.2

Zhang,Xiaoyong ………… TP-4.5

Zhang,Xilin ………… MP-4.2

Zhang,Xilin MP-4.4

Zhang,Xilin TA-1.1

zhang,Xilin TE-2.1


A-4

Zhang,Xin ………… TA-4.4

Zhang,Yi ………… MP-2.2

Zhang,Yi TP-2.3

Zhang,Yongchao ………… TA-1.1

Zhang,Yue ………… TA-3.3

Zhang,Yueming ………… MP-2.5

Zhang,Yunong ………… ME-1.1

Zhang,Yunong ME-1.4

Zhang,Yunong TP-2.2

Zhang,Zhijun ………… ME-1.4

Zhang,Zhijun TP-2.2

Zhao,Dawei ………… TE-3.5

Zhao,Dawei TP-4.2

Zhao,Dawei TP-4.3

Zhao,Zhigang ………… TP-3.4

Zhao,Zixiang ………… TE-1.2

Zheng,Change ………… ME-1.5

Zheng,Fei ………… TA-2.1

Zhong,Yue ………… MP-2.5

Zhou,Di ………… ME-3.1

Zhu,Ruixue ………… TP-3.5


A-5

IEEE ICAL 2011 Program at a Glance Time\Room Haojing Hall Haoyi Hall Haoxin Hall Haohua Hall

Sunday, August 14, 2011 14:00-‐20:00 Registration at First Floor of King World Hotel

Monday, August 15, 2011 09:00-‐09:40 Opening Ceremony

09:40-‐10:00 Coffee/Tea Break

10:00-‐11:00 Plenary Lecture I, Haojing Hall, 2nd Floor, Chair: Simon X. Yang

One-‐Shot Learning and Mapping of Robots Prof. Yunhui Liu, Chinese University of Hong Kong, China

11:00-‐12:00

Plenary Lecture II, Haojing Hall, 2nd Floor, Chair: Jianting Zhou Robustness of Supply Chain Coordination Contracts: Taxonomy, Examples and Structural

Results Prof. Houmin Yan, CUHK/City University of HK, China


14:00-‐15:40 MP-‐1

Robotic I

MP-‐2 Biomedical Instrument

and Applications

MP-‐3 Network and Vehicle I

MP-‐4 Instrumentation Systems


16:00-‐17:40 ME-‐1

Robotic II

ME-‐2 Evaluation and Optimization I

ME-‐3 Network and Vehicle

II

ME-‐4 Supply Chain Management


Tuesday, August 16, 2011

09:00-‐10:00 Plenary Lecture III, Haojing Hall, 2nd Floor, Chair: Max Q.-‐H. Meng

Flocking and Formation Control of Multi-‐Agent Systems Prof. Guanrong Chen, City University of Hong Kong, China


10:20-‐12:00 TA-‐1

Transportation System

TA-‐2 Intelligent Control and

Automation

TA-‐3 Logistics I

TA-‐4 Automation Control I


14:00-‐15:40 TP-‐1

Modeling, Identification and Simulation I

TP-‐2 Planning, Scheduling and Coordination

TP-‐3 Logistics II

TP-‐4 Automation Control II


16:00-‐17:40 TE-‐1

Modeling, Identification and Simulation II

TE-‐2 Evaluation and Optimization II

TE-‐3 Simulation and Optimization

TE-‐4 Computer Vision


Wednesday, August 17, 2011 Local Tour in Chong Qing (Register at Registration Desk)

conference program digest - cuhk electronic engineering ...qhmeng/ical/ical2011/conference program...

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