IEEE ICIA & ISBE 2012qhmeng/icia/2012/ICIA2012Digest.pdf · 2012 and ISBE 2012, hosted in the...

Program Digest

IEEE ICIA & ISBE 2012

Sheraton Hotel Floor Plan

Second Floor

Third Floor

2012 IEEE International Conference on Information and Automation

& 2012 International Symposium on

Biomedical Engineering

June 6-‐8, 2012 Sheraton Shenyang Lido Hotel, Shenyang, China

Conference Program Digest

Co-‐Sponsored by

IEEE Robotics and Automation Society

Northeastern University

The Chinese University of Hong Kong

Shandong University

Henan University of Science and Technology

CAS/CUHK Shenzhen Institute of Advanced Technology

Technically Co-‐Sponsored by

The Chinese Association of Automation

IEEE Hong Kong Section CSRA Joint Chapter

The Robotics Society of Japan

The Japan Society of Mechanical Engineers

The Society of Instrument and Control Engineers

IEEE ICIA 2012 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: CFP12833-‐ART ISBN: 978-‐1-‐4673-‐2236-‐2 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 ©2012 by IEEE.

WELCOME On behalf of the IEEE ICIA 2012 Conference Organizing Committee, we are very pleased to welcome you to Shenyang for the 2012 IEEE International Conference on Information and Automation and the 2012 International Symposium on Biomedical Engineering. The conference topics cover the growing interests in the research areas and their applications in information, automation, biomedical engineering, and the combinations of them, among many others. Of the 286 initial paper submissions, 188 papers representing 18 countries and regions are accepted for presentation at the conference after a rigorous full-‐paper review process, achieving an acceptance rate of 65%. These papers reflect the dynamism of research activities in information, automation, and biomedical engineering and the emergence of new research topics in addressing the ever increasing challenges from the related industrial and societal needs. The conference is highlighted by three distinguished plenary speeches to be delivered by Professor Manfred Morari of ETHZ, Switzerland, Professor Kevin Lynch of Northwestern University, USA, and Professor Bart ter Haar Romeny of Eindhoven University of Technology, The Netherlands. The main objective of the IEEE ICIA conference series is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of information and automation to disseminate their latest research results and exchange views on the future research directions of the related fields. IEEE ICIA 2012 and ISBE 2012, hosted in the famous historical city of Shenyang, China, promises to be a great event and experience for researchers and scholars in information, automation, and biomedical engineering from all over the world, with excellent technical as well as social programs. We wish to express our gratitude to all of our sponsoring societies and organizations, in particular, the IEEE Robotics and Automation Society, Northeastern University, The Chinese University of Hong Kong, Shandong University, Henan University of Science and Technology, and Chinese Academy of Sciences Shenzhen Institute of Advanced Technology. We thank all the individuals who have contributed to the organization of this conference. Special thanks are extended to our colleagues in the Program Committee for their thorough review of all the paper submissions, which is vital to the success of this conference. We must extend our thanks to the Organizing Committee and the volunteers who have dedicated their time toward ensuring the success of this conference. Last but not least, we thank all the participants from some 18 countries and regions for their support and participation in making this conference a great success. Finally, if your travel plans permit, we encourage you stay beyond your meeting to enjoy visiting Shenyang and the rest of China. We wish you a great conference experience and enjoyable stay and visit in Shenyang, China.

Tianyou Chai T.-‐J. Tarn Max Q.-‐H. Meng Yan Kang

General Chair Program Chair Organizing Chair ISBE Chair

Table of Contents

Welcome ........................................................................................................................................................ 4

Organization Committees ............................................................................................................................... 6

General Information ..................................................................................................................................... 13

Transportation Information ......................................................................................................................... 15

Program Schedule ........................................................................................................................................ 18

Floor Plan of Sheraton Hotel ........................................................................................................................ 19

Plenary Talk ................................................................................................................................................ 22

Symbols for Technical Sessions .................................................................................................................... 28

Session IDs, Session Titles & Session Chairs ................................................................................................. 29

Oral Sessions

Wednesday Session……………………………………...…………………………...………………...………………………………… T-‐1

Thursday Session…………………………………………………...………………...………………….....…..…………………….. T-‐13

Friday Session………………………………………………...……………………...……………….....…..…………………….. T-‐25

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

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

6

Organization Committees

International Advisory Committee

CAI Hegao Harbin Institute of Technology, China

CHAI Tianyou Northeastern University, China

CHING Pak Chung Chinese Univ. of HK, China

DARIO Paolo Scuola Superiore Sant’Anna, Italy

DE SILVA Clarence UBC, Canada

FUKUDA Toshio Nagoya University, Japan

LU Wu-‐Sheng University of Victoria, Canada

LUH Peter B. Univ. of Connecticut, USA

MILLS James K. University of Toronto, Canada

PATEL Rajni University of Western Ontario, Canada

SUN Youxian Zhejiang University, China

TARN Tzyh-‐Jong Washington University, USA

TOMIZUKA Masayoshi UC Berkeley, USA

XIONG Youlun Huazhong U. of Science & Tech, China

XU Yangsheng Chinese Univ. of HK, China

General Chair CHAI Tianyou Northeastern University, China

General Co-‐Chairs CHU jian Zhejiang University, China

DARIO Paolo Scuola Superiore Sant’Anna, Italy

HUANG Tian Tianjin University, China

NELSON Brandley ETH-‐Zürich, Switzerland WANG Yuechao Chinese Academy of Science, China

7

Program Chair TARN Tzyh-‐Jong Washington University, USA

Program Co-‐Chairs DING Han Huazhong U. of Science & Tech, China

HUANG Qiang Beijing Institute of Technology, China

WANG Tianmiao Beihang University, China

YU Haibin Shenyang Institute of Automation, China

ZHAO Jie Harbin Institute of Technology, China

Regional Program Co-‐Chairs ASAMA Hajime University of Tokyo, Japan

Gu Jason J. Dalhousie University, Canada

TANG Lixin Northeastern University, China

WANG Hong University of Manchester, UK

ZHANG Jianwei University of Hamburg, Germany

ZHU Xiangyang Shanghai Jiaotong University, China

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

Organizing Committee Co-‐Chairs CHEN Tongwen University of Alberta, Canada

DUAN Guangren Harbin Inst. Of Technology, China

GAO Feng Shanghai Jiaotong University, China

GUO Shuxiang Kagawa University, Japan

LIU Jianchang Northeastern University, China

ZHANG Huaguang Northeastern University, China

8

Awards Committee Co-‐Chairs LI Yibin Shandong University, China

YUE Heng Northeastern University, China

ZHANG Hong University of Alberta, Canada

Organized Session Co-‐Chairs CHEN Yangquan Utah State University, USA

CHIAVERINI Stefano University of Cassino, Italy

GE Sam S. National Univ. of Singapore, Singapore

GUAN Yisheng South China U. of Technology, China

HAN Jianda Shenyang Institute of Automation, China

LIU Yunhui Chinese University of HK, China

MA Shugen Ritsumeikan University, Japan

QIN Joe Sizhao Univ. of Southern California, USA

SU Chunyi Concordia University, Canada

SUN Dong City University of Hong Kong, China

TIAN Guohui Shandong University, China

XU Lisheng Northeastern University, China

YAN Houmim City University of Hong Kong, China

YANG Guanghong Northeastern University, China

YANG Huayong Zhejiang University, China

Publicity Committee Co-‐Chairs CHEN Ben National Univ. of Singapore, Singapore

CHEN Weidong Shanghai Jiaotong University, China

FENG Gary City University of Hong Kong, China

FU Minyue University of Newcastle, Australia

HUANG Jie Chinese University of HK, China

LIU Derong Univ. of Illinois at Chicago, USA

LIN Wei Case Western Reserve University, USA

PU Jiexin Henan U. of Science & Tech., China

REN Hongliang Harvard University, USA

TANG Jiafu Northeastern University, China

XI Ning City University of Hong Kong, China

XIE Lihua Nanyang Tech. University, Singapore

9

Publications Co-‐Chairs HU Chao Zhejiang University Ningbo College, China

SONG Shuang CAS/CUHK SIAIT, CAS SIAT, China

Finance Chair ZHANG Chengjin Shandong University, China

Local Arrangement Co-‐Chairs FAN Songtao Northeastern University, China

LU Shaowen Northeastern University, China

ZHENG Xiuping Northeastern University, China

Secretariat CHEN Jimmy Chinese Univ. of HK, China

LIU Wei CAS/CUHK SIAIT, CAS SIAT, China

10

2012 International Symposium

on

Biomedical Engineering

Sponsored by

Sino-‐Dutch Biomedical and Information Engineering School

Northeastern University

ISBE Chair KANG Yan Northeastern University, China

ISBE Co-‐Chairs HAACKE E. Mark Wayne State University, USA

LI Kuncheng Capital Medical University, China

ZHENG Hairong Shenzhen Inst. Of Adv. Tech., China

11

Program Committee

Program Chair

TARN Tzyh-‐Jong Washington University, USA

Program Co-‐Chairs DING Han Huazhong U. of Science & Tech, China

HUANG Qiang Beijing Institute of Technology, China

WANG Tianmiao Beihang University, China

YU Haibin Shenyang Institute of Automation, China

ZHAO Jie Harbin Institute of Technology, China

Regional Program Co-‐Chairs ASAMA Hajime University of Tokyo, Japan

Gu Jason J. Dalhousie University, Canada

TANG Lixin Northeastern University, China

WANG Hong University of Manchester, UK

ZHANG Jianwei University of Hamburg, Germany

ZHU Xiangyang Shanghai Jiaotong University, China

Committee Members

Bi Zhuming Chang Chunqi Cao Yang

Chen Dongming Chen Weidong Chen Weihai

Chen Yang quan Chi Chong-‐Yung Dai Wenzhan

Deng Yuanlong Ding Xilun Duan Hai-‐Bin

Feng Gary Fu Quanhai Fu Yili

Fung Wai-‐Keung Gao Xueshan Gu Jason J.

12

Guan Yisheng Guo Maozu Guo Yi

Hou Zeng-‐Guang Hu Chao Hu Huosheng

Hu Jwu-‐Sheng Hu Qingmao Huang Qingjiu

Huang Qiang Ji Ping Kang Yan

Ke Li Li Guanglin Li Bin

Li Qiang Li Yangmin Li Youfu

Lian Feng-‐Li Liao Jing sheng Liao Wei-‐Hsin

Liu Guangyu Liu Jingguo Liu Peter X.

Liu Wei Liu Yugang Lou Yunjiang

Meng Max Meng Yan Mills James K.

Park Jong Hyeon Qi Shouliang Qiao Yu

Qi Xiaojun Shen Yantao Sheng Weihua

Su Chun-‐Yi Sun Dong Tan Jingdong

Tan Min Tan Wenjun Tian Guohui

Vai M. I. Wan Feng Wang Guoli

Wang Jiandong Wang Minghu Wang Xin

Wang Zhidong Wong Pak Kin Wu Xiaojun

Wu Xinyu Wu Zhengbin Wu Zhongcheng

Xu Guoqing Xu Lisheng Xu Qingsong

Yan Huaicheng Yang Shi Yang Simon X.

Zhang Dan Zhang Youmin

13

General Information Conference Venue Sheraton Shenyang Lido Hotel 386 Qingnian Street, Heping District, Shenyang, Liaoning, China Tel: +86 (24) 2318 8888 Fax: +86 (24) 2318 8000 Web: www.sheraton.com/shenyangcn Language The conference and all its activities will be conducted in English.

Conference Secretariat Jimmy Chen CUHK Wei Liu CAS SIAT Tingfang Yan Shandong University Contact E-‐mail: 2012@ieee-‐icia.org Contact Tel: +86(755) 8639-‐2430, +86(531) 8839-‐9867, +86 15069115620

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.

Conference Registration Tuesday, June 5th, 2012, 14:00-‐20:00 Venue: Sheraton Shenyang Lido Hotel Wednesday, June 6th, 2012, 08:00-‐17:00 Thursday, June 7th, 2012, 08:00-‐17:00 Friday, June 8th, 2012, 08:00-‐12:00 Venue: Sheraton Shenyang Lido Hotel Welcome Reception Date: June 6th, 2012 Time: 18:00-‐20:30 Venue: Ballroom 1, 2nd Floor, Sheraton Hotel Award Banquet Date: June 7th, 2012 Time: 18:30-‐20:00 Venue: Lido Ballroom 1, 3rd Floor, Sheraton Hotel

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Farewell Party Date: June 8th, 2012 Time: 18:00-‐20:00 Venue: Ballroom 1, 2rd Floor, Sheraton Hotel 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 and in all presentation rooms on Wednesday, Thursday and Friday.

15

Transportation Information The main airport in Shenyang is the Shenyang Airport(SHE). It is the largest airport of northeast China offering direct flights to cities around China including countries such as Japan, Russia and Korea.

By Plane The city is served by the Shenyang Taoxian International Airport (沈沈阳阳桃桃仙仙国国际际机机场场 , airport code SHE), as well as by several smaller, regional airports. Direct flights from Shenyang to Beijing, Changsha, Chaoyang, Chengdu, Chongqing, Dalian, Fuzhou, Guangzhou, Haikou, Hangzhou, Harbin, Hefei, Hong Kong, Jinan, Kunming, Lanzhou, Nanjing, Ningbo, Qingdao, Qiqihar, Sanya, Shanghai, Shantou, Shenzhen, Shijiazhuang, Taiyuan, Tianjin, Wuromqi, Wenzhou, Wuhan, Xiamen, Xian, Xuzhou, Yanji, Yantai, Zahuang, Zhengzhou, and Zhuhai. Direct international flights go to Seoul and Cheongju, South Korea; Pyongyang, North Korea; Irkutsk and Khabarovsk, Russia; Osaka and Tokyo, Japan with connections to Frankfurt, Germany, Sydney, Australia, Los Angeles, USA and other cities. The airport is located 30km south of the city. An airport shuttle runs from the airport to the main China Northern Airlines ticket office (Zhonghua Lu 117) and back frequently.

By Car Shenyang is connected by a major expressway, the Jing-‐shen 6-‐lan Expresseay, to the city of Beijing, some 658km away. Expressways also link Shenyang with Jilin and Heilongjiang provinces. The Shen-‐Da Expressway connecting Shenyang and Dalian was the first expressway ever built in China. It is the fastest highway linking one of the largest port cities to Shenyang.

By Train Train service is provided through two train stations, the north train station and the south train station. The north train station handles the majority of the long-‐distance trains while the south train station handles most of the Dongbei (northeast) trains and does local service around the province. Some trains travel to both stations so be aware of which station you need to board your train. North Train Station (Shenyang Bei Zhan) at Beizhan Lu. Beijing -‐ takes about 5~8 hours. Dalian -‐ takes about 6 hours. Dandong -‐ takes about 5 hours Guangzhou -‐ takes about 30~48 hours Harbin -‐ takes about 4~8 hours Jilin – takes about 3~8 hours Shanghai – takes about 27~34 hours

16

Tianjin – takes about 10~14 hours Qinhuangdao – takes about 5~6 hours.

South Train Station (Shenyang Huoche Zhan) at Shengli Beijie Beijing -‐ takes about 5~8 hours. Changchun – takes about 2~4 hours Dalian -‐ takes about 5 hours. Dandong -‐ takes about 4 hours Guangzhou -‐ takes about 30~48 hours Harbin -‐ takes about 7 hours Jilin – takes about 7 hours Tianjin – takes about 9 hours

By Bus Long distance bus service is handled by the following two bus stations: Main Long-‐Distance Bus Station (Shenyang Qiche Kuaisu Keyun Zhan): Located on Huigong Jie, this station serves routes to and from major cities. You can also find night buses to Beijing being hawked outside the north train station. Beijing -‐ takes about 8 hours. Changchun – takes about 4 hours Dalian -‐ takes about 6 hours. Dandong -‐ takes about 3 hours Harbin -‐ takes about 7 hours Jilin – takes about 5 hours Jinzhou – takes about 3 hours South Bus Station: Buses queue along Minzhu Lu (opposite the south train station), around Minzhu Square and some nearby streets. On most buses you pay the conductor on the bus but for Anshan and Liaoyang you must purchase tickets at the office on the east side of Minzhu Square. These buses run medium distance routes to neighboring cities within Liaoning. Buses stop departing this bus station around 6pm. Passengers arriving to this station may be offloaded from the bus on a nearby street or some distance away at a yard used for storing coaches, sited behind the post office on Zhongshan Jie. Anshan -‐ takes about 2 hours. Benxi – takes about 1 hours Liaoyang -‐ takes about 1 hours. Fushun -‐ takes about 1 hours

17

Location of Sheraton Hotel

Getting Here Rail Way Shenyang North Railway Station Travel Distance: Approximately 8.0km/4.97miles Airport Shenyang Airport (SHE) Travel Distance: Approximately 15.0km/9.32miles Bus Shenyang South Station Travel Distance: Approximately 6.0km/3.73miles

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Program Schedule Tuesday, June 5th, 2012 14:00-‐20:00 Registration at Sheraton Shenyang Lido Hotel

Wednesday, June 6th, 2012 08:30-‐18:00 Registration at Sheraton Shenyang Lido Hotel

09:00-‐10:00 Plenary Lecture I By Prof. Manfred Morari

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

10:20-‐12:00 Technical Sessions WA

12:00-‐14:00 Lunch Break (Ballroom 1, 2nd Floor)

14:00-‐16:00 Technical Sessions WP

16:00-‐16:20 Afternoon Break with Tea and Coffee

16:20-‐18:00 Technical Sessions WE

18:00-‐20:00 Welcome Reception (Ballroom 1, 2nd Floor)

Tuesday, June 7th, 2012 08:30-‐18:00 Registration at Sheraton Shenyang Lido Hotel

09:00-‐10:00 Plenary Lecture II By Professor Kevin Lynch


10:20-‐12:00 Technical Sessions TA

12:00-‐14:00 Lunch Break (Chinese Restaurant, 3rd Floor)

14:00-‐16:00 Technical Sessions TP


16:20-‐18:00 Technical Sessions TE

18:30-‐20:00 Award Reception (Lido Ballroom 1, 3rd Floor)

Friday, June 8th, 2012 08:30-‐12:00 Registration at Sheraton Shenyang Lido Hotel

09:00-‐10:00 Plenary Lecture III By Professor Bart ter Haar Romeny


10:20-‐12:00 Technical Sessions FA

12:00-‐14:00 Lunch Break (Ballroom 1, 2nd Floor)

14:00-‐15:40 Technical Sessions FP


16:00-‐17:40 Technical Sessions FE

18:00-‐20:00 Farewell Party (Ballroom 1, 2nd Floor)

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Floor Plan of Sheraton Shenyang Lido Hotel Plenary talks will be held at Lian Hall, 2nd Floor. All oral present sessions will be held in Ballroom 2, 2nd Floor, Ballroom 3, 2nd Floor, Zhu Hall, 2nd Floor, Lian Hall, 2nd Floor, Kunlun Hall, 3rd Floor and Meeting Room, 26F. 2nd Floor will be used for plenary talks, sessions and lunch on Wednesday and Friday. It will also be used for Welcome Reception on Wednesday and Farewell Party on Friday.

2nd Floor Grand Ballroom, Sheraton

20

For 3rd Floor, Kunlun hall will be used for sessions on Thursday and Friday, Chinese Restaurant will be used for lunch on Thursday, and Lido Ballroom 1 will be used for Award Banquet on Thursday.

3rd Floor Lido Ballroom, Sheraton.

3rd Floor, Kunlun Hall

22

IEEE ICIA 2012 Plenary Talk I 9:00-‐10:00, Wednesday, June 6

Lian Hall, 2nd Floor

The Role of Theory in Control Practice

Professor Manfred Morari

ETHZ Zürich Switzerland

Abstract

Twenty years ago I delivered a plenary lecture with the same title at the American Control Conference in Boston. I will go back and reflect on the successes and failures, on what we have learned and which problems remain open. The focus will be on robust and constrained control and the real time implementation of control algorithms. I will comment on the progress we have made on the control of hybrid systems and how our vastly more powerful computational resources have affected the design tools we have at our disposal. Throughout the lecture, industrial examples from the automotive and power electronics domains and the industrial energy sector will illustrate the arguments.

23

Biography

Manfred Morari was head of the Department of Information Technology and Electrical Engineering at ETH Zurich from 2009 to 2012 and head of the Automatic Control Laboratory from 1994 to 2008. Before that he was the McCollum-‐Corcoran Professor of Chemical Engineering and Executive Officer for Control and Dynamical Systems at the California Institute of Technology. He obtained the diploma from ETH Zurich and the Ph.D. from the University of Minnesota, both in chemical engineering. His interests are in hybrid systems and the control of biomedical systems. In recognition of his research contributions he received numerous awards, among them the Donald P. Eckman Award, the John R. Ragazzini Award and the Richard E. Bellman Control Heritage Award of the American Automatic Control Council, the Allan P. Colburn Award and the Professional Progress Award of the AIChE, the Curtis W. McGraw Research Award of the ASEE, Doctor Honoris Causa from Babes-‐Bolyai University, Fellow of IEEE, IFAC and AIChE, the IEEE Control Systems Technical Field Award, and was elected to the National Academy of Engineering (U.S.). Manfred Morari has held appointments with Exxon and ICI plc and serves on the technical advisory boards of several major corporations.

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IEEE ICIA 2012 Plenary Talk II 09:00-‐10:00, Thursday, June 7


Nonprehensile Robotic Manipulation

Professor Kevin Lynch Northwestern University

Evanston, USA

Abstract Nonprehensile manipulation primitives such as rolling, sliding, pushing, pivoting, tipping, tapping, jiggling, juggling, and throwing and catching are commonly used by humans, animals, and even industrial automation processes. These graspless manipulation modes exploit dynamics to create object motions that would otherwise be impossible to achieve. Despite this, most robots seem to prefer grasping and avoid nonprehensile manipulation. This limited repertoire artificially constrains the set of manipulation tasks the robot can achieve.

I will describe progress and challenges in planning and control of nonprehensile robotic manipulation. I will then describe recent work on the PPOD (Programmable Parts-‐feeding Oscillatory Device), which uses nonlinear frictional dynamics and six-‐degree-‐of-‐freedom vibration of a rigid plate to simultaneously control the motion of multiple parts sliding on its surface.

25

Biography

Kevin Lynch is professor of mechanical engineering in the McCormick School of Engineering and Applied Science at Northwestern University, where he is codirector of the Northwestern Institute on Complex Systems (NICO) and the Laboratory for Intelligent Mechanical Systems. His research focuses on robot manipulation and locomotion, self-‐organizing multi-‐agent systems, bio-‐inspired sensing and control, and functional electrical stimulation for restoration of human function. Lynch is a Senior Editor of the IEEE Transactions on Automation Science and Engineering, co-‐author of The Principles of Robot Motion (MIT Press, 2005), an IEEE fellow, and the recipient of Northwestern's Professorship of Teaching Excellence and the engineering Teacher of the Year award. He earned a BSE in Electrical Engineering from Princeton University and a PhD in Robotics from Carnegie Mellon University.

26

IEEE ICIA 2012 Plenary Talk III 9:00-‐10:00, Friday, June 8


Vision for Vision

Professor Bart Bart ter Haar Romeny

Eindhoven University of Technology Eindhoven, The Netherlands

Abstract

The visual system is our primary sense. It is outperforming our modern computers in pattern recognition and under compromised imaging conditions. The results of modern MRI and optical imaging techniques of brain functionality give good inspiration for new mathematical models of vision. We develop such models, and apply these to computer-‐assisted diagnosis. The results are highly promising and robust. Applications are automated large-‐scale retina analysis for diabetes screening (to prevent blindness: ‘vision for vision’), interactive brain connectivity visualization from Diffusion Weighted MR imaging for deep brain stimulation and safe epilepsy surgery.

The lecture will be richly illustrated, and is of educational nature.

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Biography

Prof. Bart ter Haar Romeny is full professor and chair in Biomedical Image Analysis, at the Department of Biomedical Engineering at Eindhoven University of Technology, in Eindhoven, the Netherlands. His background is physics, with a PhD of Utrecht University. His application areas focus on innovative methods for computer-‐assisted diagnosis, as well as visualization for brain and heart diseases. Much of his inspiration comes from the visual system.

Since 2006 he is vice-‐dean of the Biomedical Information and Engineering School of NEU, and has been a frequent lecturer in Shenyang.

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Symbols for Technical Sessions

Symbols for Days of a Week

W = Wednesday T = Thursday F = Friday

Symbols for Session Times Slots

Session A = 10:20-‐12:00

For Wednesday and Thursday Session P = 14:00-‐16:00 Session E = 16:20-‐18:00

For Friday

Session P = 14:00-‐15:40 Session E = 16:00-‐17:40

Symbols for Room Assignments Wednesday, June 6 Room ID 1 2 3 4 Room Zhu Hall, 2nd Floor Ballroom 3, 2nd Floor Ballroom 2, 2nd Floor Lian Hall, 2nd Floor

Thursday, June 7 Room ID 1 2 3 4 Room Kunlun Hall, 3rd Floor Meeting Room, 26F Zhu Hall, 2nd Floor Lian Hall, 2nd Floor

Friday, June 8 Room ID 1 2 3 4 Room Kunlun Hall, 3rd Floor Ballroom 3, 2nd Floor Ballroom 2, 2nd Floor Lian Hall, 2nd Floor

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Session IDs, Session Titles & Session Chairs Wednesday, June 6, 2012

Morning Session Title Session Chairs WA-‐1 Advanced Robots Songmin Jia Hongwei Mo

WA-‐2 Automation Jie Chen Chengjin Zhang

WA-‐3 Advanced Management System Lixin Tang Wei Liu

WA-‐4 Biomedical Application Hairong Zheng Kuanquan Wang

Afternoon WP-‐1 Network & Communications Yunjian Ge Guoxiang Gu

WP-‐2 Robotics and Manipulation Jianwei Zhang Yili Fu

WP-‐3 Intelligent Control and System Qiang Huang Lixin Tang

WP-‐4 Biomedical Imaging Jinzhu Yang Kuanquan Wang

WE-‐1 Automation II Li Qiu Jie Chen

WE-‐2 Advanced Robots II Guohui Tian Songmin Jia

WE-‐3 Computer Vision Baopu Li David Zhang

WE-‐4 Biomedical Imaging II Han Gao B. M. ter Haar Romeny

Thursday June 7, 2012 Morning Session Title Session Chairs TA-‐1 Mobile System Guoqing Xu Heng Yue

TA-‐2 Image/Video Processing David Zhang Baopu Li

TA-‐3 Intelligent Control and System II Jianwei Zhang Dezhang Xu

TA-‐4 Biomedical Imaging III Yan Kang Hong Wang

Afternoon TP-‐1 Automation III Guoxiang Gu Heming Jia

TP-‐2 Image/Video Processing II Baopu Li Wei Liu

TP-‐3 Control and Systems Jianda Han Hong Zhang

TP-‐4 Biomedical Instrumentation Kim Yeoun-‐Jae Hong Li

TE-‐1 Vehicle Dynamics Control Songmin Jia Xueyuan Guan

TE-‐2 Image/Video Processing III David Zhang Jason Gu

TE-‐3 Network & Communications II Qiang Huang Yili Fu

TE-‐4 Biomedical Instrumentation II Hong Shao Yaonan Zhang

Friday June 8, 2012 Morning Session Title Session Chairs FA-‐1 Pattern Recognition Yaonan Zhang Shuang Song

FA-‐2 Advanced Robots III Chengjin Zhang Wei Liu

FA-‐3 Signal Processing Lu Wang Lisheng Xu

FA-‐4 Biomedical Instrumentation III Shuxiang Guo Shihai Xiang

Afternoon FP-‐1 Pattern Recognition II Jason Gu Shuang Song

FP-‐2 Control Applications Chunyi Su Jianda Han

FP-‐3 Signal Processing II Hao Zou Wei Liu

FP-‐4 Computer Aided Diagnosis Li Ke Fangfang Jiang

FE-‐1 Pattern Recognition III Jason Gu Zhendong Liu

FE-‐2 Sensors Guohui Tian Yunjian Ge

FE-‐3 Signal Processing III Yuexian Zou Lisheng Xu

FE-‐4 Computer Application Li Ke Fangfang Jiang

Technology Sessions

2nd Floor Grand Ballroom, Sheraton

Wednesday, June 6, 2012

WA‐1 Advanced Robots

WA‐2 Mobile System

WA‐3 Advanced Management System

WA‐4 Biomedical Application

WP‐1 Control and Systems

WP‐2 Robotics and Manipulation

WP‐3 Intelligent Control and System

WP‐4 Biomedical Imaging

WE‐1 Automation

WE‐2 Advanced Robots II

WE‐3 Computer Vision

WE‐4 Biomedical Imaging II

Zhu Hall, 2nd Floor (1) 10:20-10:40 Zhu Hall, 2nd Floor (2) 10:40-11:00


Zhu Hall, 2nd Floor (5) 11:40-12:00

WA1:Advanced Robots

Session Chair: Songmin Jia and Hongwei Mo

Zhu Hall, 2nd Floor 10:20-12:00 Wednesday, June 6

IEEE International Conference on Information and

Automation&International Symposium on Biomedical Engineering

Global path planning of in a static environment is an important problem for a mobile robot. Biogeography-based optimization (BBO) is a population-based evolutionary algorithm that is based on the mathematics ofbiogeography. It mainly uses the biogeography-based migration operator to share the information among solutions. Differential Evolution (DE) is a fast and robust evolutionary algorithm for global optimization. We propose a hybrid algorithm of BBO and DE, named BBDE for robot global pathplanning in a static environment. The combination of differential evolution and migration strategy results in a better algorithm. Simulation results show that the proposed approach is feasible for solving RPP.

Bio-geography based Differential Evolution for Robot Path Planning

Hongwei Mo,Zhenzhen LiAutomation College, Harbin Engineering University

Design of Aerial Dispersal Miniature Detection Robotic

Liancun Zhang1, Qiang Huang1, Liying Wu2, Junyao Gao1, Yue Li1, and Weimin Zhang1

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

• Aerial dispersal miniature detection robotic system is suitable for carrying detection task in natural disasters or man-made disasters.

• Design of aerial dispersal miniature detection robotic system has been illustrated in the paper.

• Some experiments have been done to validate anti-impact ability and autonomous capability of the robot.

Application of aerial dispersal miniature detection robotic system

The SLAM Algorithm of Mobile Robot with Omnidirectional Vision Based on EKF

Kaiyu Wang, Guihua Xia, Qidan Zhu, Yongtao Yu, Yebin Wu and Yan WangDepartment of Automation, Harbin Engineering University, Harbin, China

• An improved simultaneous localization and mapping(SLAM) method based on extended Kalman filter(EKF) is presented to solve the SLAM problem of mobile robot with omnidirectional vision.The environment feature is extracted from the environment information around the mobile robot got by onmidirectional vision, then the landmark is located, finally, the position and attitude of the mobile robot and the map library are updated synchronously by using the EKF algorithm.

Tracked Mobile Robot

Autonomous Robot Exploration Based on Hybrid Environment Model

Songmin Jia, Hongmin Shen, Xiuzhi Li, Wei Cui, Ke WangResearch Center of Distributed Robotics &Intelligent System

College of Electronic Information & Control Engineering , Beijing University of TechnologyBeijing, China

• The model of the unknown environment is structured as a hybrid representation, both topological and grid-based.

• In our work, SLAM technique for robot exploration is based on laser scan-matching and RBPF.

• Path planning algorithm based on topological graph is used for the robot’s exploration task. The exploration result

Robust Human Detecting and Tracking Using Varying Scale Template Matching

Songmin Jia, Shuang Wang, Lijia Wang, Xiuzhi LiResearch Center of Disturbuted Robotics & Intelligent System

College of Electronic Information & Control EngineeringBeijing University of Technology

Beijing, China

• This paper employs the methods of human detecting and tracking based on stereo vision in the indoor environment.

• A novel method of template matching based on head-shoulder model is proposed to detect human.

• Robust human tracking is performed using the EKF.

T-1

Ballroom 3, 2nd Floor (1) 10:20-10:40 Ballroom 3, 2nd Floor (2) 10:40-11:00


Ballroom 3, 2nd Floor (5) 11:40-12:00

Session Chair: Jie Chen and Chengjin Zhang

Ballroom 3, 2nd Floor 10:20-12:00 Wednesday, June 6

WA2:Automation

Method of Modeling Wideband Signals Received by an Array Antenna Based on Power Spectral

DensityHongqi Yu, Jing Guo, Xin Xu, Zhaolin Sun, Haijun Liu, Jietao Diao

School of Electronic Science and Engineering,National University of Defense TechnologyHunan, China

• Wideband signal and its sampling– The definition of wideband signal

• Uniform linear array module• The proposed modeling method

based on power spectral density• The influence of bandwidth on

MDL algorithm

2( )( ) lim T

fT

F fS f

T

( )fp S f df

/ 2 2

/2( ) ( ( ))

B j ft

Bs t e d S f

2

1( ) l

Lj f t

ll

s t a e

An effective soft iteration channel estimatorfor HF channel

Miao Benshu and ZhaoDepartment of Electronic Engineering, Tsinghua University

Beijing, China

• An new soft iteration channel estimator was proposed by combining a traditional estimator with Turbo equalization

• The figure gives the BER results for iterative receiving over Watterson channel with A corresponding to the frequently used LMS algorithm and B, C the proposed algorithm. Solid lines reports BER after 0th iteration while dashed lines reports BER after 2th iteration

• The proposed estimator has a power gain of some 0.5dB over LMS estimator

BER results

Step-response Simulation of Energy Regulation Based Electrohydraulic Variable-speed Drive

Xu Ming, Ni Jing, and Chen GuojinDepartment of Mechanical Engineering, Hangzhou Dianzi University

Hangzhou, China

• Electrohydraulic Variable-speed Drive

• Energy Regulation• Fast Response• Good Energy-saving performance

Inverter

ERD

23

4

5

67

8

9

M

p e p s

Load

1

10

Energy Regulation VSD

Distributed Component-Based Framework for Unmanned Air Vehicle Systems

Agwad El-Sayed and Mohamed ElHelwUbiquitous Computing Group, Nile University

Cairo, Egypt• We propose a distributed

component-based framework.• It allows rapid and seamless UAV

applications development. • It is composed of four main

components: Mission Planner, Task Executer, World Model and DicoCom.

• It provides DicoScript language for binding the distributed components together and describing UAV missions.

Distributed Component-based Framework Architecture

UAV MissionUAV Mission

Core Framework Components

Mission PlannerMission Planner

World ModelWorld Model Task ExecutorTask Executor

User-Defined Framework Components

DicoComDicoCom DicoComDicoComDicoComDicoCom

3D Flight Path Planning based on RRTs for RNP RequirementsBaofeng Shi, Peng Cheng, and Nong Cheng

Department of Automation, Tsinghua UniversityBeijing, China

• An integrated path planner based on modified RRTs is proposed.

• The planner is able to generate a 3D collision-free path that complies with RNP requirement while considering the aircraft kinematic constraints.

• The pruning method based on A* and smoothing method based on B-Spline curves are presented.

• Numerical simulations are performed based on the airspace environment around Beijing airport.

Path Planning in Beijing Terminal Airspace

T-2





WA3:Advanced Management System

Session Chair: Lixin Tang and Wei Liu

Fuzzy Synchronization of Chaotic Systems based on

Genetic Algorithm

Xiaohua Wang

Model of Balanced Distribution and Optimal Scheduling of the Oxygen System in Iron and

Steel IndustryXiaolei Zhang1,3, Yanyan Zhang1, 2 and Lixin Tang1, 2

1 The Logistics Institute, Northeastern University Shenyang, China2 Liaoning Key Laboratory of Manufacturing System and Logistics Shenyang, China

3 State Key Laboratory of Synthetical Automation for Process Industries Shenyang, China

• Make decision on turning on or off the oxygen units, adjusting the production rate, the pressure rate, the liquefied rate and steam rate of each unit.

• A LP model is established to distribute and optimal scheduleoxygen among users considering the production, the holding, the consumption in an iron and steel plant .

• The diffusion cost, pressure cost, liquefied cost, steam cost and setup cost of air separation system is minimized.

Produce and flow of steam system

Analysis and Configuration of Docking Adjusting Mechanism for Replenishment at Sea

Ying Yu, Baolin Yin, Guizhen Liu, Xianzhi Li School of Mechanical Engineering, University of Jiamusi, Heilongjiang Province, China

• Based on Screw Theory, discussing the configuration of docking adjusting mechanism with single-type and combination-type.

• Synthesize 19 basic motion types, and put out a single-closed-transmission-chain mechanism viable.

• Through propose 2-RPU-C single-closed-transmission-chain mechanisms and evolved three types of new mechanisms.

Configuration of 2-RPU-C mechanism with one closed-transmission-chain

A Prediction Model for Steering Tasks with UserOperational Biases

Traditional Steering Law (Accot and Zhai, 1997)

W

A

MT=a+b(A/W)

Only system factors (A, W and R) are included in the law

a, b: constants

New Prediction Model

MT=a+b(A/SD) a, b:

constants

Transform W into SDSD means Standard Deviation of sampled points of the trajectorySD = the distribution of sampled pointsSD reflects what subjects actually didW reflects what subjects were asked to do

Both system and subjective factors are included in the new model

Research about Based-SOA Agriculture Management

Information System

Duan YanE

T-3

Lian Hall, 2nd Floor (1) 10:20-10:40 Lian Hall, 2nd Floor (2) 10:40-11:00


Lian Hall, 2nd Floor (5) 11:40-12:00

WA4: Biomedical Application

Session Chair: Hairong Zheng and Kuanquan Wang

Lian Hall, 2nd Floor 10:20-12:00 Wednesday, June 6

0 5 10 15 20 25 30-4

-3

-2

-1

0

1

Short time energy

ECG signal

Powerratio

Threshold-cross rate

Adaptive R-wave detection method in dynamic ECG with heavy EMG artifactYue Zhong1, Lisheng Xu1,2, Li Yan3, Yanhua Shen1 and Shuhong Wang1.

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

3Heilongjiang Bayi Agriculture University College of Information Technology, 163319

• Introducing different kinds of EMG artifact in dynamic ECG signals.

• Classifying dynamic ECG by power ratio of frequency ranges, threshold-cross rate and short time energy.

• R-wave detection based on wavelet transform and Empirical Mode Decomposition method.

• Results of R-wave detection of ECG examples in daily life evaluated the accuracy of the proposed method.

Classification results of dynamic ECG signals by quality analysis

On the Singular Problem in Linear Algorithmfor the Magnetic Dipole Positioning

Chao Hu1, 3, Houxiang Miao1,2, Shuang Song3, Jianke Chen1,2, Xiaoxiao Li3

1 Ningbo Institute of Technology, Zhejiang University, Ningbo, 315100, China2Taiyuan University of Science and Technology, Taiyuan, 030024, China

3 Institute of Advanced Integration Technology, CAS, Shenzhen, 518067, China

• Magnetic dipole model is presented;• A linear algorithm is proposed to do the

localization for the position and orientation of the dipole object.

• Four singular problems have been analyzed and some methods are proposed to handle these problems.

• Some simulations an experiments have been done and the results show these methods are feasible. Magnetic Dipole Localization

Refined Analysis of Heart Sound Based on Hilbert - Huang Transform

Li Lin, Dejun Guan, Dongrui Zhang , Jinhan Feng , Lisheng XuShenyang Radio and Television University，Northeastern University, Key Laboratory of

Medical Image Computing(Northeastern University), Ministry of EducationShenyang，China

• Heart sounds preprocessing by wavelet transform and Huang - transform technology.

• Extract the envelopes of heart sounds based on Hilbert transform.

• Using the Hilbert-Huang transform theory to analysis pathologic heart sounds .

• Extracting 5 characteristic parameters make the assessments of pathological signals have a quantitative measure

Boundary spectrum of normal heart sounds

An Integrated Detection Method of Clustered Microcalcifications in Mammography Based on

Multiscale Hessian MatrixYing Wang, Hong Li, Xiaoguang Pan, Yan Kang and Hong Zhao

College of Information Science and Engineering, Northeastern UniversityShenyang, China

• Used an adaptive threshold in a local window to detect big ringed dot calcification in the image which should be excluded from the candidate region.

• Applied Hessian Matrix in multiscale to detect dot shape. cluster features were employed to group them.

• The sensitivity of the method was 92.7%, with the FP 0.19 per image.

big ringed dot false postive and microcalcification in different scale

ROI Scale1 Scale2 Add all scale

T-4




WP1:Networks and Communications

Session Chair: Yunjian Ge and Guoxiang Gu


Improvement of LEACH in Wireless Sensor Networks Based

on Balanced Energy StrategyYingqi Lu, Du Zhang, Ya Chen, Xiao Liu ,Ping ZongNanjing University of Posts &Telecommunications

Nanjing, China

• Running process of LEACH• Energy model of data transmission in

LEACH protocol• The problems of classical LEACH

protocol• The improvement of LEACH protocol

Data Reduction and Bandwidth Allocation forVideo-Based Network System

Yi-Chun Lin and Feng-Li LianDepartment of Electrical Engineering, National Taiwan University

Taipei, Taiwan

• Base on captured visual content information, dynamic bandwidth allocation algorithm is proposed to raise bandwidth utilization.

• Based on available bandwidth of camera, progressive data reduction is designed to remove unessential frames and visual content.

• Experimental results demonstrate excellent performance of the proposed algorithms.

Video

multi-rate down-

sampling

region-based

embedded coding

variable bit-

stream

1 2 3 4 5 6 7 8 9 106

8

10

12

14

16

18Entropy

time slot

entro

py(b

its)

Camera1Camera2Camera3

1 2 3 4 5 6 7 8 9 100

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8Visibility

time slot

Camera1Camera2Camera3

1 15 30 45 60 75 90 105 120 135 150 1650

10

20

30

40

50

60

70

80

90

100

Frame No.

PS

NR

Camera1 (alpha = 0.2 beta = 0.8)

MovingObjectsBackgroundWalls

1 2 3 4 5 6 7 8 9 10 110

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5Bandwidth (alpha=0.2,beta=0.8)

time slot

Ban

dwid

th(M

bps

)

Camera1Camera2Camera3Total

Improving Intrusion Detection through MergingHeterogeneous IP Data

Wenjie Zhu, Qiang WangDepartment of Automation

University of Science and Technology of China (USTC)

• Background• Framework of DTJA(Duplex Traffic

Joint Analysis) method• Upward/Downward Intrusion

Estimation• Experiments• Conclusion and Future work• Q&A

The idea of DTJA

Analysis on IOT Communication ProtocolZhiyan Liu1, Bao Xi1, and Yongfeng Yuan2

1School of Management, and 2School of Computer Science and Technology, Harbin Institute of Technology

Harbin, China

• The major obstacles restrict the development of IOT are the lacking of lacking of unified communication protocol and relative technology.

• This paper presents a procedure of universal IOT communication, which describes UID registration, cancellation procedure, UID search procedure and UID information search procedure in details.

• This paper also analyses relative factors for setting up unified standard from data status and data timeliness perspectives.

UID Info Searching Protocol

RFID System

3. Query UID Interface

IOT Name Server

IOT Middleware

7. Object Info

4. InterfaceAddress & Port

2. Net Address1. Query Net Address

IOT Info Service

5. Query Object Info 8. Object Info

6. Query Object Info

The research on real-time simulation using an Ethernet based embedded parallel system

Li Ying, Jia Yan-Cheng Kunming University of Science and Technology, Kunming China

• An embedded parallel system based on Ethernet;

• MAC-layer enables data exchange between nodes in parallel system;

• Parallel simulation method based on the platform about task partition and scheduling;

• With an asynchronous motor as a instance, the feasibility of real-time simulation is confirmed.

• Compared with the serial simulation with single DSP, the parallel efficiency and speed-up ratio of the parallel system are determined.

1

A New Weighted Centroid Localization

Algorithm based on RSSI

Abstract :an Anchor_optimized modified weighted centroid localization algorithm based on RSSI was proposed. Firstly, the algorithm optimize the anchor nodes according to the distance from the unknown node to the anchor nodes ,and then it select the nearest four anchors to localize, the reciprocal of the sum of measured distance was be taken as the weigh. Finally the weights were modified so as to further improving the precision. Simulation results show that the algorithm accuracy has been significantly improved than the centroid algorithm and weighted centroid algorithm.

Keywords:Localization; RSSI; weighted centroid algorithm; Anchor_optimized ancor nodes

HongyuShiDepartment of Electronic Science

Huizhou UniversityHuizhou, China

E-mail: [email protected]

T-5




Session Chair: Jianwei Zhang and Zhijun Li


WP2: Robotics and Manipulation

Point-to-point Planning for Free-floating Space Manipulator with Zero-disturbance Spacecraft Attitude

Fuhai Zhang, Yili Fu, Lei Hua, Hongwei Chen, Shuguo Wang, Bin GuoState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China

• A point-to-point planning approach of the FFSM is presented to ensure that the manipulator end-effectorreaches the desired point and the spacecraft attitude is zero-disturbance simultaneously.

• With the introduction of the correlative coefficient, whether the singularities of the current path points happen could be judged.

• The effectiveness and feasibility of the proposed approach is verified by simulation results

The FFSM Model

Adaptive Fuzzy Control of Trilateral Tele-operation with Communication Random Delays

Zhijun Li1, Liang Ding2 , …, and Haibo Gao2

1South China University of Technology 2Habin Institute of Technology

• Trilateral teleoperation system withdual-master-single-slave configuration.

• Using partial feedback linearization, the whole trilateral teleoperation system consisting of both the master and the slave is transformed into three subsystems.

• By integrating Markov jump systems to handle random delays, adaptive fuzzy control strategies are developed.

Trilateral teleoperation

Research on Map Merging for Multi-robotic System Based on RTM

Ke Wang, Songmin Jia, Yuchen Li, Xiuzhi Li, Bing GuoCollege of Electronic Information & Control Engineering, Beijing University of Technology

Beijing, China

• A multi-robot system for exploring in large-scale unknown environment was built.

• The SP2ATM Algorithm was used for path planning.

• The ICP Algorithm was used for self-location of each robot and the map merging where SIFT feature was matched among robots.

• Some RT-components was built by using RTM technology.

The components structure of mobile robot map merging

Subsystem User Interface

RTC

Subsystem Robot Control

RTC

Subsystem Data Process System

Mapdata

Control

The Pose of Robot

RTC

Laser Data

The Pose of RobotRTC

SubsystemData Collecting

RTC RTC

Image Data

RTC

The feature of the imageThe current AST

Human-Like Indoor Navigation for Autonomous Industrial Mobile Manipulator

• An effective and robust classification by using a novel cascade Bayesian classifier.

• Autonomous localization & navigation with human-like guide information.

• Experiments verify effectiveness of the proposed method

• Many potential applications in antonomous industrial automation.

Autonomous Industrial Mobile Manipulator(AIMM)

Hongtai Cheng, Heping ChenTexas State UniversityTexas, United States

Yong LiuNanjing University of ST

Nanjing, China

Weihua ShengOklahoma State University

Stillwater, OK,USA

Dead End

CrossTRight

CornerLeftStraightCorner

RightT T

Left

0Y 1Y 2Y 3Y 4Y 5Y 6Y 7Y

Basic Corridor Types

A Novel Battery Charger for Plug-in Hybrid Electric Vehicles

Liangrong Wang1,2,4, Jianing Liang1,2, Guoqing Xu2,3, Kun Xu1,2,4, Zhibin Song1,2,41Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,

Shenzhen 518055, China2The Chinese University of Hong Kong Shatin, Hong Kong, China

3Department of Electrical Engineering, Tongji University, Shanghai 200092, China4Graduate University of Chinese Academy of Sciences Beijing 100049,China

Schematic Diagram of Integrated Charger

• In this paper, an innovative integrated battery charger is presented.

• The operation mode of charger can be divided into three modes: boosting drive motor mode, directly drive motor mode and charging mode.

• The simulation results have been presented to verify the operation for battery charger, showing the system has good operation performance.

Modeling of Rate-dependent Asymmetric Hysteresis Nonlinearity for Magnetostrictive

ActuatorsZhi Li, Tianyou Chai, Ying Feng, and Chun-Yi Su

State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, ChinaSouth China University of Technology, Guangzhou, China

• A rate-dependent asymmetric shifted Prandtl-Ishlinskii (RASPI) model was first proposed, which utilizes a pure time delay as the rate dependent operator to reflect the change of the hysteresis due to different input frequencies.

• Experimental tests were conducted on the magnetostrictive actuator and the results show that the RASPI model corresponds well with the experimental data.

The rate-dependent asymmetric hysteresis effect in the magnetostrictive actuator

T-6





WP3:Intelligent Control and System

Session Chair: Qiang Huang and Lixin Tang

Design of Hovering Altitude Holding Control System for Helicopter

Xiaoyan Wang, Xinmin Wang and Congchao YaoDepartment of Automation, Northwestern Polytechnical University

Xi’an, China• Sea wave model is established based

on rational spectrum method.• Kalman filter is designed according

to the integrated height system of radio altimeter and vertical accelerometer.

• Two altitude holding control structures are developed based on helicopter explicit model following control system (EMFCS).

• The resistance to vertical wind disturbance or parametric perturbations is proved.

The Optimized Control Structure

The Model Following Control System

Second-Level Sliding Mode Tracking Control of Unmanned Surface Vessels with Parameter

UncertaintiesZhu Qidan, Jiang Zhengqiao,Liu Zhilin and Yu Ruiting

Department of Automation, Harbin Engineering UniversityHarbin, China

Unmanned Surface Vessel

( )u surge

( )v sway

Bx

By

• State of the trajectory tracking control problem.

• Sliding Mode Tracking Control Law for Surge and Lateral Motion.

• Simulation Examples for Circular Trajectory and Straight-Line Trajectory.

• Conclusion and Future Work

Adaptive Integral Backstepping Control for a 3-DOF Helicopter

Wei-Nan Gao and Zheng FangState Key Lab of Synthetical Automation for Process Industries, Northeastern University

Shenyang, China

• A Quanser’s 3-DOF helicopter is a simplified and benchmark experi-mental model for validating the effe-ctiveness of various flight control algorithms.

• An adaptive integral backstepping algorithm is applied to realize robust control of the 3-DOF helicopter.

• Experimental results demonstrate that the proposed algorithm performs well in tracking and under model uncertain-ties.

The 3-DOF Helicopter

Uncertain Chua system chaos synchronization using single variable feedback based on

adaptive techniqueFengxiang Chen, Guangji Ji, Shuang Zhai, Shijia Wang, Su Zhou, Tong Zhang

School of Automotive studies, Tongji University,Shanghai, China

• Only single variable is received from master Chua chaotic system

• Parameters perturbation in chaotic system

• The control law is a simple as

• The design method mainly based on adaptive technique

( ( ))

x y

y z y x

z y z f z

0 0

ˆ ˆ

ˆ ˆ ˆˆ

ˆˆ ˆ ˆ( ( ))

x y

y z y x

z y z f z u

z

Synchronization error

0 0,zz z

z

eu ke h e k a

e

Combined Power and Rotating Speed Control of Ship Electrical Propulsion System in Waves

Yaohua Luo, Shijia Lv, Shaobo Kang, and Xiaoli DuanCollege of Automation, Harbin Engineering University

Harbin, China• A model of ship motion considered

regular waves is introduced and the inverter-motor-drive system based on rotor magnetic field vector control is studied.

• A propeller open water test has been finished.

• The fluctuations of the power and speed are controlled in an acceptable range.

Rotating speed and power of the motor

The Process Control System Based on LabVIEW in a Hardening Die Steel Production Line

Jiangyun Li1, Jinhui Zhang2, Nan Zheng3, and Xiaoli Li4School of Automation & Electrical Engineering, University of Science and Technology Beijing,

Beijing,China

• Hardening die Steel• Process Control system based on

LabVIEW development tool. • Communication between L2 and

L1 and within L1 by OPC Protocol .• Communication between L3 and

L2 by Socket Protocol.• Link SQL Server and LabVIEW by

DCOM.System structure

T-7




WP4:Biomedical Imaging

Session Chair: Jinzhu Yang and Kuanquan Wang


Medical Image Encryption Based on a Composition of Logistic Maps

and Chebyshev MapsYin Dai and Xin Wang

Sino-Dutch of Biomedical and Information Engineering school, Northeastern UniversityShenyang, China

• DICOM images are widely used in the medical imaging field, so it is important to study images security.

• A new encryption algorithm based on a composition of Logistic maps and Chebyshev maps is proposed.

• The new algorithm can be applied to DICOM images to secure the transmission of medical image data.

Correlation of encrypted image

Breast Mass Segmentation in Mammography Using Improved Dynamic

ProgrammingBuer Qi, Xiaoguang Pan, Hong Li, and Yan Kang

Sino-Dutch Biomedical and Information Engineering School, Northeastern University Shenyang, China

• Mass segmentation is the foundation of mass detection and a challenging task in Breast CAD.

• Our Goals: Using an improved dynamic programming method to obtain accurate contours

• Introducing an adaptive mass radius determining method and a boundary compensation method The Process of Improved Dynamic

Programming

An Efficient Interval Query Algorithm Based on Inverted List in Cloud Environment

Zhiqiong Wang, Ke Gong, Shikai Jin, Wenjun Liu and Zixi LiuSino-Dutch Biomedical and Information Engineering School, Northeastern University

Shenyang, China

• CNCList+ was proposed to improve the interval query speed.

• IQIL is created to further reduce the interval query time.

• Sub-intervals formation. • Intersection checking between sub-

intervals and target query interval.• Superior performance on query

speed of IQIL compared to CNCList+.

Intersection Checking

A Fast Subtraction Algorithm of Brain CT Angiography Images based on MMBE

Fangfang Han, Jinzhu Yang, Dazhe zhao,and Hong ZhaoNortheastern University

Shenyang, China

• An improved subtraction method on Brain CTA Images.

• Adapted sample and compression of gray scales to improve the speed of 3D registration.

• Improved extraction of bone by the combination of threshold and refinement of bone mask methods.

• The algorithm proposed in this paper have improved about eight times of computing speed.

The Subtraction Result

A Three Dimensional Ray Casting Method for Juxta-pleural Nodule Segmentation in Thoracic

CT ImagesGuanglei Si, Jinfeng Cai, and Yan Kang

Laboratory for Medical Imaging Research , Northeastern UniversityShenyang, China

• Cast rays from the seed point P to the border points of the foreground.

• The rays PA, PB and PC are all included in the foreground.

• The rays PD, PE and PF will pass through the background.

• For the boundary points G and H, their extension lines will keep transferring until they reach the border of the VOI . Ray casting process

5

0

5

0

5

0

5

0

5

0

5

a

c

b

d

d

c

P

A

B

C

DE

F

G

H

I

J

Vocal Tract Spectrum Transformation Based on Clustering in Voice Conversion System

Xie Weichao, and Zhang LinghuaCollege of Telecommunication & Information Engineering, Nanjing University of Posts and

TelecommunicationsNanjing, China

• A vocal tract spectrum transformation method based on clustering in voice conversion system is proposed.

• K-means clustering is involved before GMM modelling.

• Establish the transformation rules for every cluster. Each frame is classified into a cluster and converted by the rules of that cluster.

• Experiments show proposed method improves the quality of syntheticspeech, has better spectral envelopewith less spectral distortion. The Spectral envelope

T-8




WE1:Automation II

Session Chair: Li Qiu and Jie Chen


Linear Quadratic Optimal Control of Continuous-time LTI Systems with Random Input Gains

Wei Chen, Jianying Zheng, and Li QiuDepartment of Electronic and Computer Engineering, Hong Kong University of Science and

Technology, Clear Water Bay, Kowloon, Hong Kong, China

• Linear quadratic optimal control of continuous-time linear time-invariant systems with random input gains is studied.

• One main novelty is the use of channel/controller co-design which is carried out by virtue of the twist of channel resource allocation, i.e., the channel capacities can be allocated subject to an overall capacity constraint.

• A nice analytic solution is obtained under certain conditions. The optimal control law is a linear state feedback.

Networked Feedback Control over Fading Channels and the Relation to H_2 Control

• The MS stabilization for discrete-time NCS over the fading channel modeled as multiplicative random processes is studied.

• A unitary matrix is introduced to encode and decode the control signal at the two ends of the fading channel based on which an innovative resource allocation method is developed to mitigate the channel fading.

• Reveal the true nature of H_2 control for MS stabilization and provide a synthesis procedure for design of the NCS over the fading channel.

Guoxiang GuDepartment of Electrical and

Computer Engineering, Louisiana State University, USA

Li QiuDepartment of Electronic and Computer Engineering, Hong Kong University of

Science and Technology, China

Minimum Sensor Duty Cycle with Guaranteed Estimator Performance

Ye Yuan1 and Ling Shi21: Control Group, Department of Engineering, University of Cambridge,

Cambridge, CB2 1PZ, U.K.2: Department of Electronic and Computer Engineering, Hong Kong

University of Science and Technology, Hong Kong.

• We construct schemes that provide tight lower and upper bounds of the minimum sensor duty cycle and guarantee bounded average error at the estimator.

• We construct an optimal scheme that minimizes the sensor duty cycle and guarantees bounded error at all times at the estimator .

EstimatorProcess SchedulerSensor

Linear Output Regulation of Heterogeneous Networked Systems Based on Adaptive Dynamic

State FeedbackShaobao Lia, Gang Fenga, Juan Wangb, Xiaoyuan Luob, and Xinping Guanc

a. Department of Mechanical & Biomedical Engineering, City University of Hong Kong;b. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, China;

c. Institute of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai, China.

• The aim is to make the networked heterogeneous nodes track the reference while rejecting the disturbances.

• Two distributed adaptive control laws based on dynamic state feedback are presented to solve the regulation problem.

• The feedback gains are independent of the Laplacian matrices of system topologies.

Linear Output Regulation

T-9




Session Chair: Guohui Tian and Songmin Jia


WE2:Advanced Robots II

Improvement Flexibility of SLAM in Unknown Environment Based on

Robot Technology Middleware

• we presents an efficient simultaneous localization and mapping (SLAM) technique in multi-obstacle environment for indoor mobile robot navigation based on Laser Range Finder.

• We use Rao-Blackwellized Particle Filter (RBPF) to localize mobile robot and use Vector Field Histogram(VFH) for obstacle avoidance.

• Robot Technology Middleware (RTM) was used.

The components structure ofmobile robot SLAM based

on RBPF.

Songmin Jia, Bing Guo, Xiuzhi Li, Ke Wang, Yuchen LiCollege of Electronic Information & Control Engineering

Beijing, China

Design of A Novel Frog-InspiredHopping Leg

Wei Zhang, Jizhuang Fan and Hegao CaiState Key Laboratory of Robotics and System, Harbin Institute of Technology

Harbin, Heilongjiang Province, China

• Powered by pneumatic muscles in bioarticular method.

• Kinematic analysis of the mechanism and the pneumatic muscles.

• Jumping simulation based on the virtual components in Adams.

Frog-Inspired Hopping Leg

A Domain Specific Architecture Description Language for Autonomous Mobile RobotsLei Zhang, Huaxi (Yulin) Zhang, Zheng Fang, René Zapata, Marianne Huchard

State Key Laboratory of Synthetic Automation for Process IndustriesNortheastern University, Shenyang, China

• A domain specific architecture framework for Autonomous Mobile Robot

• A domain specific architecture description language.

• A AMR domain ontology and metamodel.

• An AMR-ADL metamodel based on AMR domain ontology and architecture metamodel Domain driven AMR-ADL framework

The Structure and Application of Intelligent Space System Oriented to Home Service Robot

Fei Lu, Xinran Wang and Guohui TianSchool of Control Science and Engineering, Shandong University

Jinan, China

• Structure of intelligent space system oriented to home service.

• Key technology modules of intelligent space system.

• Smart and agilely home service based on intelligent space.

Intelligent Space oriented to home service robot

Gait Design and Optimization of A New Limb Robot

Jizhung Fan, Jihong Yan and Jie ZhaoResearch Laboratory for Service Robotics, Shandong University

Jinan, China• A integration robot of arm and leg,

with permanent magnet adsorption.• Applied to the field of detection on

the large storage tanks, hull check, etc.

• Robot cross gait when it walk quickly on the barrier-free road.

• Robot cross gait optimization algorithm based on the optimal energy.

three-limb biomimetic robot

1.Servo motor, 2.Limb 1, 3.Turbine worm, 4.Limb 2, 5.Operation mechanism, 6.Adsorption mechanism, 7.Three force/torque sensors, 8.Limb.3

T-10





WE3:Computer Vision

Session Chair: Baopu Li and David Zhang

Locality Enhanced Spectral Embedding and Spatially Smooth Spectral Regression for Face

RecognitionFurui Liu, Xiyan Liu

State Key Lab of CAD&CG, College of Computer Science, Zhejiang UniversityHangzhou, China

• Locality enhanced spectral embedd-ing (LESE) with a non-nearest graph

• Spatially smooth spectral regression (SSR) to constrain coefficients to be spatially smooth

• Laplacian smooth is used• The learned subspace is for the face

recognition task by applying cluster-ing methods as K-means

• Two direction smooth—both vertical and horizontal

Face Recognition Accuracy on Yale Face Database

Image Features-Based Mobile Robot LocalizationRui Lin, Zhenhua Wang, Rongchuan Sun and Lining Sun

Robotics and Microsystem Center, Soochow UniversitySuzhou, China

• We present a novel algorithm for mobile robot localization based on image features.

• A novel method is proposed to extract distinctive invariant image features, which is coined PLOT (Polynomial Local Orientation Tensor).

• Extended RANSAC is proposed for mobile robot pose estimate due to its efficiency. Bird’s eye view of PLOT

landmarks in the database, pose estimates and odometry

during the movement.

Hand Gesture Recognition using RGB-D CuesLan Lin1,2，Yang Cong1，Yandong Tang1

1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences; 2.Graduate School of the Chinese Academy of Sciences.

Shenyang，China

• RGB-D data cubes construction

• Hand detection withskin color and depth

• Hand pattern extractionby saliency points.

• Gesture classificationwith Adjacency Matrix.

Data and gesture pattern

A Novel Graph-Based Matching Method to Merge the Extracted Maps from Mobile Robots

A. Karambakhsh, Vahid Azizi, M. H.K.Heiran, M. Y.Azar, M.R. MeybodiMechatronics Research Laboratory (MRL), Qazvin Incubator Center of Technology Center

(QICTU), Qazvin Islamic Azad University (QIAU)Qazvin, Iran

• One of the most discussed issues in mobile robots study fields is the mapping discussion or SLAM.

• we are intended to generate a graph based on image processing techniques and match them.

• one of the methods that shown better results, is to match edges between nodes.

Proposed structure to match two extracted graphs of each map

An Automatic Method for Texture Extraction and Mapping in 3d Building

ReconstructionCheng Hui, and Zhang Jianpei

College of Computer Science & Technology, Haerbin Engineering UniversityHaerbin, China

• Texture Sampling.• Image Rectification. • Texture Mapping.• Experimental Results.

The Complete Model Reconstruction

T-11




WE4:Biomedical Imaging II

Session Chair: Han Gao and B. M. ter Haar Romeny


A new X-ray scatter correction method based on BAG for cone beam CT

Ping Geng1, Fei Teng2, Dayu Xiao3, and Yan Kang4College of Science, Northeastern University,

Shenyang City China

• The new method which combines image sequence processing and Guassian Blurring is designed on a flat panel detector .

• . The results of scatter correction indicate that the proposed method is practical and effective

The scatter correction result

Identification research of pulmonary nodules based on PCA and the improved BP neural network

Fan Linan, Hu Xiangli, Sun Shenshen, Gu WenjuanSchool of Information Engineering , Shenyang University

Shenyang, China

Lung cancer is one of the biggest healthy hazards of cancer to the human life in the world, especially for nearly half of a century. Incidence and mortality rates in every country's lung cancer are rising sharply. If lung cancer is diagnosed and treated in the early days, survival rate of the 5-year will rise from 14% to 49%. Pulmonary nodules is early form of expression of lung cancer. So we propose a detective method of pulmonary nodules which is applied to CT image based on PCA and the improved BP neural network. pulmonary nodule

Reconstruction of Panoramic Image through Fusion of Sequential Lateral Multi-Lens Logging Images

Hongtao Hu, Xia Lin, Zhouli LiSchool of Computer Science,Xi’an ShiYou University

Xi’an, China

• The original well wall images are a set of sequential isometric images taken by a lateral multi-lens video logging.

• Wavelet transform image fusion method is proposed though computation of the overlap region of sequential images.

• The proposed method is consisted of three steps.

• experiment shows the proposed method solves the issue of discontinuity of mosaic image edge gray and the fusion panoramic image demonstrates a better visual effect.

Reconstruction of Panoramic Image

Research on Automatic Recognition of Breast Tumors Based on Principal Component Analysis

Li Ke, Nan Li and Yingying ChenInstitute of Biomedical and Electromagnetic Engineering,

Shenyang University of Technology, Shenyang, China

• The method to calculate the covariance matrix

• Calculate the eigenvalues and eigenvectors

• Structure a feature space by eigenvectors

• Map test images to the feature space The full tumor

Identification of Incorrect Segmentation and Centerline Correction of Coronary Arteries in CT

Angiographic ImagesLing Fu, Lei Shi, and Yan Kang

Sino-Dutch Biomedical and Information Engineering School, Northeastern UniversityShenyang, China

• Accurately extracted centerlines of coronary arteries are important for computer-aided diagnosis of cardiovascular diseases.

• We propose two automatic methods to identify the incorrectly segmented vessels and correct their centerlines.

• We evaluated the proposed methods quantitatively on real CT angiographic datasets. The evaluation results demonstrate the effectiveness of the methods. The Corrected Centerlines

T-12

Thursday, June 7, 2012

TA‐1 Automation II

TA‐2 Image/Video Processing

TA‐3 Intelligent Control and System II

TA‐4 Biomedical Imaging III

TP‐1 Automation III

TP‐2 Image/Video Processing II

TP‐3 Network & Communications

TP‐4 Biomedical Instrumentation

TE‐1 Vehicle Dynamics Control

TE‐2 Image/Video Processing III

TE‐3 Network & Communications II

TE‐4 Biomedical Instrumentation II

Kunlun Hall, 3rd Floor (1) 10:20-10:40 Kunlun Hall, 3rd Floor (2) 10:40-11:00


Kunlun Hall, 3rd Floor (5) 11:40-12:00

Session Chair: Guoqing Xu and Heng Yue

Kunlun Hall, 3rd Floor 10:20-12:00 Thursday, June 7

TA1: Mobile System

Vibration Energy Harvesting in Automobiles to Power Wireless Sensors

Qingyuan Zhu, Mingjie Guan, and Yuanqin HeSmart Materials and Strucutures Laboratory, Xiamen University

Xiamen, China

• Reports vibration levels detected in automobiles during road test.

• Designs and fabricates a piezoelectric vibration energy harvester for automobile vibrations.

• Shows the measured voltage and power outputs of the harvester during road test.

• The measurement results show that the vibrations in the automobiles are large enough for useful vibration harvesting.

The Vibration EnergyHarvester Prototype

Multiple Aerial Vehicles Cooperative Mission Planning with RHP

Xiang Dai, Shidong Qiao, Zhong Liu, Jincai Huang, Guangying ZhuScience and Technology on Information Systems Engineering Laboratory, National University

of Defense TechnologyChangsha China

• Multiple aerial vehicles cooperative operation model.

• A new planning algorithm with RHP. • Eliminate the long way around case.• Simulation and comparison between

the algorithm and the existing ones.

Aerial Vehicle Formation

A Novel Verifiable Threshold Signature Scheme Based on Bilinear Pairing in Mobile Ad Hoc

NetworkXianyong Meng¹ ² and Yangmin Li¹ ³

¹Mechatronics Laboratory, University of Macau, Macao²Zhuhai College of Jilin University, Zhuhai, China³Tianjin University of Technology, Tianjin, China

• We construct a (t, n) threshold key management scheme without a trusted party in Mobile Ad Hoc Network.

• We proposed a verifiable threshold signature scheme that all participants must provide confidential and verifiable information each other.

• We design a new bilinear pairing-based threshold signature scheme which is more security, verifiable and efficient compared with the presented schemes for Mobile Ad Hoc Network.

Traction Control for Electric Vehicles -A Novel Control Scheme

Jialong Chen, Guoqing Xu, Kun Xu, Weimin Li and Liang ZhengCenter for Automotive Electronics, Shenzhen Institutes of Advanced Technology,

Chinese Academy of Sciences, Shenzhen, China

• Traction control is critical to avoid loss of control on low-adhesion road surfaces.

• Electric vehicles have faster torque response derived from the motor, as well as more flexible powertrains with in-wheel motors, which can significantly improve the dynamic control performance.

• We propose a novel traction control scheme for electric vehicles.

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Modeling and Simulation of MI Wireless Communication for a Deepwater Mooring System

Zhen Zhao, Shuzhi Sam Ge, Wei He, and Yoo Sang ChooDepartment of Electrical & Computer Engineering, National University of Singapore, Singapore

• Subsea is a challenging environment for wireless Communication.

• The most popular underwater wireless communication technique using acoustic wave does not work well.

• Magnetic wireless communication is analyzed.

• Transmission loss between transceivers is investigated.

• Simulation model of the MI wirelesscommunication is built. Magnetic flux density passed

through the reception coil3rd Floor

T-13

Meeting Room, 26F (1) 10:20-10:40 Meeting Room, 26F (2) 10:40-11:00


Meeting Room, 26F (5) 11:40-12:00

Meeting Room, 26F 10:20-12:00 Thursday, June 7

TA2:Image/Video Processing

Session Chair: David Zhang and Baopu Li

A New Stereo Matching Method with Combination of Cross-based Aggregation and Hierarchical

Belief PropagationTianyu Yang Qing He Ning Wei Baopu Li Chao Hu Max Q.-H. Meng

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China,

• utilize the merits of both local method and global method.

• combine cross-based support aggregation and belief propagation

• propose a matching cost function. incorporating the edge information

• some disparity refinements are done.

• effective and reasonable result.disparity result of tsukuba image

3D Reconstruction Based on Digital Speckle Correlation in Virtual Sport

Chuanyang Ruan1,2,3, Jun Jiang2,3, Feiqi Deng1, Jun Cheng2,3, and Huaxing Qian1

1South China University of Technology, Guangzhou, 510640, China2Shenzhen Institutes of Advanced Technology, Chinese Academy of

Sciences, Shenzhen, 518055, China3The Chinese University of Hong Kong, Hong Kong, China

• The Digital Speckle Correlation Algorithm and Curve

• Fast Search Method Based on Relevant Information of Neighborhood

• The Proposed Interpolation Algorithm

• Measurement Method• Experimental Results

flow chart

A Monocular Distance Estimation Method Used in Video Sequence

Xiaolei Li and Lu WangSchool of Control Science and Engineering, Shandong University

Jinan, China

• Monocular distance estimation with Pin-hole model

• Distance estimation based on edge points

• Hough Transform (HT) restriction algorithm proposed for distance estimation in video sequence

• Kalman Filtering helps the proposed algorithm Vision system in AUV

Detection of Geometric Shape for Traffic Lane and Mark

Xian Liu, Gang Wang, Jingsheng Liao, Baopu Li, Qing He and Max Q. -H. Meng

Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Shenzhen, Guangdong, China

• In this paper, we introduce a method to detect geometric shape for traffic lane and mark. This method contains four steps.

• First, we apply HSV color space, histogram equalization and Otsualgorithm for image preprocessing. Then we use Canny algorithm and Progressive Probabilistic Hough Transform algorithm finding an optimal position of lane in image. Then by using Kalman filter model, we update and track lane marking lines. Finally we use template matching method to detect shape of traffic mark. We introduce normalized cross-correlation to recognize the traffic signs.

• Experiment results demonstrate that the proposed scheme can detect geometric shape for traffic lane and mark effectively.

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A New Hybrid Metric Map Representation by Using Voronoi Diagram and its Application to SLAM

Shuai Guo1,2, Shugen Ma1,3, Bin Li1, Rongchuan Sun1,2, and Yuechao Wang1

1. Shenyang Institute of Automation, Chinese Academy of Science, China2. Graduate University of Chinese Academy of Sciences, China

3. Department of Robotics, Ritsumeikan University, Japan

• A novel hybrid metric map representation based on Voronoi

• Theorem 1: The map partition result is unique.

• Theorem 2: The hybrid metric map describes all the observed environment.

• Shape matching data association: Benefit brought from the hybrid metric map.

Experimental result Meeting Room, 26F

T-14




TA3:Intelligent Control and System II

Session Chair: Jianwei Zhang and Dezhang Xu

Zhu Hall, 2nd Floor 10:20-12:00 Thursday, June 7

ROS-based Object Localization Using RFID and Laser Scan

Shujun Gong, Huifen Liu, Ying Hu, and Jianwei ZhangShenzhen Institutes of Advanced Technology, CAS, Shenzhen, China

• The ROS-based Simultaneous Localization and Mapping (SLAM) combined with Radio Frequency Identification (RFID) is used for a coarse position by our robot called RCT-M.

• Then with the RFID tag information, we could query the object information in the object database.

• Finally, with the object information we utilize suitable laser feature detection to localize an object for a precise position. Some factors associated with RFID reader and RFID tags that can affect the object localization are also discussed.

Object localization

Memory-Based Hierarchical Task and Motion Planning

Yi Zeng, Jun Zhang, Weiwei Lu and Ying HuSIAT, Chinese Academy of sciences, China

The Chinese University of Hong Kong, ChinaJianwei Zhang

TAMS, Department of Informatics, University of Hamburg, Germany

• HTN planning is altered by interleaving with execution and extended with a geometric planner for mobile manipulation tasks.

• a memory-base can memory and manage mass patter-specific records, and supply data to the planner and various actuators.

Design of a Wheeled Inverted Pendulum as platform for Learning based Control

Liping Ouyang, Bianjing Du, Ansi Peng, and Yongsheng OuShenzhen Institutes of Advanced Technology, Chinese Academy of Science

Shenzhen, China

• High efficient, low cost Wheeled Inverted Pendulum• Special consideration for learning based control• Friendly interface for multi application

Workspace analysis of the underwaterdexterous hand

Xu De-zhang, Wei Ran, Zhang Wan, Wang Zhihong Wang BuyunAnhui Polytechnic University , China

• Structure of IUDH dexterous hand• The coordinate systems• Kinematic description• The kinematic solutions• Local coordinates of touch point• Global coordinates of touch point• Number example

IUDH Dexterous hand

Multi-objective Optimization of Rolling Schedules for Tandem Cold Rolling Based on

Adaptive Weight Differential Evolution AlgorithmYong Li1, Yu Wang2, Qun Gai1

1.School of Electrical Engineering Shenyang University of Technology Shenyang, LiaoningProvice, China.

2. Department of Automatic Control Shenyang Aerospace University Shenyang, LiaoningProvice, China

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•Rolling Schedules Multi-objective Optimization of Tandem Cold Rolling

•Parameters And Results

T-15




TA4:Biomedical Imaging III

Session Chair: Yan Kang and Hong Wang

Lian Hall, 2nd Floor 10:20-12:00 Thursday, June 7

Analysis of influencing factors using Grappa algorithm for image reconstruction

Shao Hong, Wang YaoSchool of Sino-Dutch Biomedical and Information Engineering,

Northeastern University,Shenyang, China

• It discusses three influencing factors in GRAPPA reconstruction algorithm, they are block number, ACS lines and acceleration factor.

• The block number in rang of 4 to 8 shows similar good result. In order to minimize computation, block number is set to 4.

• ACS lines can improve reconstruction quality, but add scanning time. So 32 is reasonable.

• The bigger acceleration factor is, the bigger SNR the image has. So acceleration factor is always set to 2.

SOS image vs reconstruction image

Automatic skull stripping in brain MRI based on local moment of inertia structure tensor

Yi Zhong, Wei Feng, Shouliang Qi, E. Mark Haacke and Yan KangSino-Dutch biomedical and Information engineering school, Northeastern University

Shenyang, China

• A new automatic skull stripping method for FLAIR MR images.

• Edge detection using moment of inertia structure tensor.

• Data from 30 MS patients were processed by both proposed method and BET.

• The results show proposed method has a better correlation with the manual segmentation result.

Fig. Result of skull stripping for one MS patient. Left to right columns: original images, skull stripped using BET and using the proposed method

Tractography of the Optic Radiationfor Vision Sparing Epilepsy Surgery

C.M.W. Tax, R. Duits, B.M. ter Haar Romeny, A. Vilanova, P. OssenblokEindhoven University of Technology, Kempenhaeghe Epilepsy Center

Eindhoven, the Netherlands

• In medio-temporal epilepsy surgery damage may occur to the visual tract

• Reconstruction of the optic radiation was done by fMRI-seeded Diffusion Tensor Imaging (DTI-tractography)

• We could map the highly curved fibers of Meyer’s loop accurately

• We discriminated fibers of the central, upper and lower visual areas, enabling much safer surgery

Visual pathway reconstruction

Three Dimensional MREIT for Breast Cancer Detection on Open MRI

Gang Li, Ruijuan Chen, Liling Hao and Ling LinState Key Laboratory of Precision Measurement Technology and Instruments,

Tianjin University, Tianjin, China

• MREIT is a novel electrical conductivity imaging technology that is hopeful to be applied in the diagnosis of early breast cancer.

• The sensitivity reconstruction algorithm is developed to three dimensional Open MREIT.

• Simulation results on a hemisphere model show the validity.

• Phantom results show a promising application prospect of Open MREIT for breast cancer detection. Open MREIT for Breast Imaging

Algorithmic Development of Myelin Water Imaging Based on Multi-component T2

AnalysisShouliang Qi, Weijie Ji, Jingshu Zhang, Yan Kang

Sino-Dutch Biomedical and Information Engineering SchoolNortheastern University

Shenyang, Liaoning Province, [email protected]

Myelin water fraction based on multi-component T2 analysis is one promising biomarker for the myelin in the brain. Two smoothing algorithms are proposed and compared in this study. Then the feasibility of using 6 echoes to determine MWF is investigated. Myelin water fraction image

T-16




Session Chair: Guoxiang Gu and Heming Jia


TP1:Automation III

Study on Mathematic Model of Wiped Film Molecular Distillation Evaporator

Keping Liu, Tianfang Sun and Quan TaoDepartment of Control Theory and Engineering

Changchun University of TechnologyChangchun, Jilin, China

• Analysis of important factors to molecular distillation

• Establishing and solving of themathematic model

• The analysis of influence to distillation process about the feed temperature and concentration. Fig. 1 Schematic diagram of molecular distillation theory

Horizontal Tracking Control for AUVBased on Nonlinear Sliding Mode

Lu Wang, He-ming Jia, Li-jun Zhang, Hong-Bin Wang

College of Automation , Harbin Engineering University

Harbin, China

With the purpose of the path tracking control of under-actuated autonomous underwater vehicle (AUV) in the role of the unknown current disturbance, proposed a path tracking controller based on nonlinear iterative sliding mode incremental feedback. Horizontal circular tracking curve

of underactuated AUV

Study on Design and Simulation Analysis of Electronic Hydraulic Brake System for Vehicles

Shoutao Li, Xinglong Pei and YongxueCollege of Communication Engineering, Jilin University

Jilin, China

• Introduction of the current work on Electronic Hydraulic Brake system

• Design the structure of the EHB system.

• Design the Hydraulic control unit (HCU) and the control unit of the EHB system.

• Make a regulation of the controller parameters.

• Simulation result and conclusion.The Structure of the Electronic

Hydraulic Brake System

Helicopter Blades Pyramid Angle Measurement Based on Panoramic Vision Technology

Mai Jiang, Wei Liang and Xiaoling ZhangLab of Industry Control Networks and Systems, Shenyang Institute of Automation

Shenyang, China

• In this paper a new method for helicopter blades pyramid angel measurement based on panoramic vision technology is introduced.

• The inverse projection equations derived from panoramic spherical reductive algorithm for calculation of the blades height differences

• The experimental results show that this method has higher accuracy and suitable for rotor blades pyramid measurement system. The Hyperboloid Mirror Catadioptric System

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Adaptive and Reliable Transmission Scheduling with Low-Cost Estimation of Channel States

Xiaoling Zhang, Wei Liang, Haibin Yu, and Xisheng FengShenyang Institute of Automation, Chinese Academy of Sciences

Shenyang, China

• Low cost method for channel state cognition.

• Optimizing method for retry count. • Global timeslot allocation method

for the optimality of resource allocation.

• Local channel decision-making method for reducing the burden of global allocation. Framework of ARSC Algorithm

Global Asymptotic Stabilization of an Underactuated Surface Vessel

Zeng Bo-Wen, Zhu Qi-Dan , Yu Rui-TingCollege of Automation Harbin Engineering University ,Hrbin,China

• The stabilization problem of an underactuated surface vessel is considered. The ships under consideration are not actuated in the sway direction. A time-varying stabilization controller is presented to make the origin of an underactuated surface vessel globally asymptotic stable. Simulation results show t h e e f f e c t i v e n e s s o f t h e controller. The idea can also be applied to design controllers of other underactuated systems

Underactuated surface vessel

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T-17





TP2:Image/Video Processing II

Session Chair: Baopu Li and Wei Liu

Improved Tensor Based Registration: AnHeterogeneous Approach

Ying Wang, Yan Kang, E. Mark Haacke and Hong ZhaoCollege of Information Science and Engineering, Northeastern University

Shenyang, China• An improved variant to the classic

tensor-based moment-of-inertia rigid body method for registering brain images in magnetic resonance imaging is presented.

• Application of a low pass Hanning filter on k-space data.

• Applied iteratively and leads to an improved accuracy.

• The average accuracy was 1.8×10 -4

fractional pixel for misplacements along X and Y axes.

Correction of simultaneous shifts along X and Y axes

Adaptive Unscented Kalman Filters Applied to Visual Tracking

Qichuan Ding, Xingang Zhao, and Jianda Han State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS

Shenyang, China

• The MIT-based AUKF and the master-slave-structure AUKF are introduced in this paper.

• A general kinematics equation of a rigid body is derived from a series of consecutive rotation and translation.

• AUKFs can accurately estimate the position, orientation of a rigid-body from sequential images.

The Experiment Setup

Orthonormal Finite Ridgelet Transform Coding Using an EBCOT‐like Algorithm

In this paper, an image coding algorithm based on a rate-distortion optimized orthonormal finite ridgelet transform (OFRIT) decomposition and on a block-partitioning coding scheme which quantizes each subband separately is proposed. In this way, our algorithm naturally overcomes the difficulty in defining parent-child relationships for wavelet-based ridgelet subbands, which exists in the zerotree based methods. The main merit of the proposed method is that the ridgelet transform can provide optimally sparse representation of objects with singularities along straight edges and the orthonormal finite ridgelet transform(OFRIT) can decompose the high frequency parts of the images which are not decomposed in discrete wavelet transform. The experimental results show that the proposed algorithm significantly outperforms SPIHT and JPEG2000 schemes in novel image with straight lines significantly or curve lines significantly coding, in terms of both PSNR and visual quality.

A Portable Wireless Image Receiving System for the Capsule Endoscope

Yu Hu, Baopu Li, Dewen Zeng, Chao Hu ,and Max Q.-H MengShenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, China

• The system is used to receive JPEG images from Wireless Capsule Endoscope(WCE).

• It’s convenience and flexibility for patients and doctors to use WCE, and also facilitate to miniaturization WCE.

• JPEG images decoding on this embedded system.• Showing real-time images by LCD.• Saving images data on a SD card.

Watermark Performance Contrast between Contourlet and Non-subsampled Contourlet

TransformGuangyong Gao, Baoqin Cai, Shaowen Xu and TaoYan

School of Information Science & Technology, Jiujiang University Jiujiang, China

• The performance between the watermark scheme using contourlet tranform and that using non-subsampled contourlettransform (NSCT) is compared.

• The transparency and robustness analyses are performed on watermark scheme using contourlet tranform or NSCT.

• A conclusion can be drawn that NSCT is more suitable for watermark application than contourlet tranform. Original Peppers

Fuzzy Direct Torque Control of IPMSM to Improve both Efficiency and Speed Response

# H. Mostafavi, # M. Sadeghi, # P. Ghaebi Panah, and *S. Azizkhani# Ragheb Isfahani Higher Education Institute, Isfahan, Iran

*Multimedia University, Cyberjaya, Malaysia

T-18




TP3:Control and Systems

Session Chair: Jianda Han and Hong Zhang


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A new robust controller design method, called disturbance observation based internal model control, is proposed. This new controller has a new structure composed of two sub-controllers, the inner disturbance compensator and the outer nominal controller. An attractive advantage of this structure is that the parameters of the two controllers can be designed separately. That is, there is little coupling between the two sub-controllers. The comparison between the structures of the proposed controller and that of the traditional internal model controller is given, and detailed theoretical analysis on controller performances, robustness and sensitivity are conducted. Finally, extensive experiments are conducted to verify the feasible and validity of this new controller designing algorithm in the real application.

Fast and Robust Pose Estimation UsingCoplanar Feature Points

Junying Xia, Xiaoquan Xu and Jiulong XiongCollege of Mechatronic Engineering and Automation, National University of Defense Technology

Changsha, Hunan Province, China

• Most pose estimation algorithms fail to deal with Pose Ambiguitywhen using coplanar feature points.

• First, find the two minima poseunder Para-perspective.

• Then, refine them using the Orthogonal Iteration algorithm to get the two minima pose under perspective.

• Finally, chose the minimum with the lower object collinearityError as the Final-Pose. Solution for Pose Ambiguity

On correlation analysis of bivariate alarm signalsZijiang Yang, Jiandong Wang, and Tongwen Chen

College of Engineering, Peking University, Beijing, ChinaDept. of Electrical & Computer Engineering University of Alberta

• The correlation ration coefficient is more suitable for alarm data similarity analysis, and its upper bound 1/16 is smallest than all other binary similarity coefficients.

• Correlation delay is shown to be indispensable and effective for the alarm data correlation analysis.

• A novel correlation analysis method for alarm signals is proposed based on the correlation ratio coefficient and distribution of the correlation delay.

Posture Prediction of Humanoid Robot: Modeling and Simulation of Manual Lifting

Parvin Abedi, Ali Leiylavi Shoushtari and Meysam BistooniDepartment of Engineering, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran

• Redundancy problem in biomechanical models of human body and the CNS solution.

• Biomechatronical Modeling of human body.

• Optimization-based simulation.• Results.• Conclusion.

Biomechatronical Model of Human Body

DWT Based Steam Detection with AdaboostZhijie Wang, Mohamed Ben Salah and Hong Zhang

Department of Computing Science, University of AlbertaEdmonton, Alberta, Canada

• Steam can occlude objects of interest in many applications.

• Common steam detection systems first extract features from an input image and then classify its regions.

• We use discrete wavelet transform (DWT) for feature extraction and Adaboost for classification.

• Our algorithm is efficient than - and our DWT features outperform – others in steam detection experiments. Input Image (Top) and

Detected Steam (Bottom)

Biped Robot Push Detection and RecoveryAwais Yasin, Qiang Huang, Qian Xu, Weimin Zhang

Intelligent Robotics Institute, School of Mechatronics Engineering, Beijing Institute of Technology, Beijing, P.R. China

• Push detection for a 23-DOF small humanoid robot using Attitude and Heading Reference System.

• Foot force sensors for ZMP measurement.

• LIPM based trajectory generation

• Push Recovery through foot placement.

Push Detection & Recovery System




TP4:Biomedical Instrumentation

Session Chair: Kim Yeoun-Jae and Hong Li


The Average Cerebral Perfusion in Patients with Multiple Sclerosis (MS) using MRI

Yi Zhong, David Utrianien, Wei Feng, Shouliang Qi, Yan Kang and E.Mark HaackeSino-Dutch biomedical and information engineering school, Northeastern University

Shenyang, China

• Flow and structural of the neck venous may be correlate in MS patients.

• 140 MS patients and 26 normal controls were imaged.

• Average CBF as a function of IJV flow rate was presented.

• Results show there are slight positive correlation with IJV outflow within the no-stenosis group.

Fig. Average CBF plotted against total IJV flow for 140 MS patients and 26 normal controls. The MS group was further sub-divided into 2 age groups: younger than 50 years and older than 50 years.

Implementation of Cuff-less Continuous Blood Pressure Measurement System Based on

AndroidLisheng Xu, Xu Guo, Feifei Yang, Sainan Yin, Xibin Zhang, Max Q.-H. Meng

Key Laboratory of Medical Image Computing (Northeastern University)Ministry of Education

• A blood pressure monitoring device has been presented for real-time non-invasive blood pressure monitoring based on Android smart-phone.

• Blood pressure can be estimate from the pulse transit time (PTT) in this paper.

• Our monitoring device :– ECG acquisition module– PPG acquisition module– Android smart-phone with application

Cuff-less BP measurement device

The Implementation of Single Channel ECG and Dual Channel Pulse Signals Synchronous

Acquisition SystemLisheng Xu, Xibin Zhang, Feifei Yang, Yanhua Shen, Max Q.-H. Meng

Sino-Dutch Biomedical and Information Engineering School, Northeastern University Liaoning, China

• ECG and two radial pulse signals can be synchronously acquired,displayed and analyzed.

• the difference between two radial pulse signals can be analyzed by this system.

• This system can be used for future study on cardiovascular diseases related to the bilateral vascular system. multi-channel signals

Synchronous acquisition system

Flexible Tactile Sensor System for Robot Skin Based on LabVIEW

Ying Huang , Xiaowen Zhao, Qinghua Yang, Siyu Wu and Caixia LiuSchool of Electronic Science & Applied Physics, Hefei University of Technology

Anhui, China• Using carbon black-silicone rubber

significant piezoresistive effect, the tactile sensor with interdigitated structure was designed.

• A flexible tactile sensor array was fabricated to detect the force acted on. The principle of the force detection was analyzed.

• Connecting the tactile sensor array with data acquisition card and pc, some objects of different shapes were loaded on the tactile sensor array; the detected results were showed by LabVIEW software.

The schematic of tactile sensor system

Drug Incompatibility Checking System on Mobile Platform

Jianhua Li, Mingjie Xu, Huiming Dong, Zheng Zhang and Yan KangKey Laboratory of Medical Image Computing Ministry of Education, Northeastern University,

Shenyang, China

• A new software for mobile intelligent terminals is based on Android Operating System.

• Drug Imcompatibility Checking System(DICS) was developed in Java with the support of SQLite.

• DICS is efficient and portable.• Tests showed that it is user-

friendly, time-saving and effective in applications.

Drug IncompatibilityChecking System

A Balance Control Strategy of A Walking Biped

Robot in An Externally Applied ForceYeoun-Jae Kim, Joon-Yong Lee, and Ju-Jang Lee

Robotics Program, Department of EE KAISTDaejeon, Korea

• Simulation Study of Biped Robot Balance Control in Walking with Externally Applied Force.

T-20



Kunlun Hall, 3rd Floor (5) 17:40-18:00

Session Chair: Songmin Jia and Xueyuan Guan


TE1:Vehicle dynamics control

A GPU Accelerated Real-time Self-contained Visual Navigation System for UAVs

Xueyuan Guan1, Hongyang Bai2

1. National Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing, China

2. School of Energy and Power Engineering, , Nanjing University of Science and TechnologyNanjing, China

Architecture of navigation system for UAVs

Multimodal Intelligent Wheelchair Control Based on Fuzzy Algorithm

Songmin Jia, Jun Yan, Jinhui Fan, Xiuzhi Li, Liwen GaoResearch Center of Distributed Robotics & Intelligent System, Beijing University of Technology

Beijing, China

• The control method of this intelligent tennis wheelchair is based on seat pressure sensors and omnidirectional wheels.

• The wheelchair has manual mode and automatic mode. In manual mode, user controls the wheelchair depending on joystick. While in automatic mode, according to value of weight shift measurement, we infer the user’s intension based on fuzzy controller.

• An intelligent wheelchair interface developed in order that those modules could be switched conveniently and freely. The Intelligent Wheelchair

Fuzzy Logic Control in Regenerative Braking System for Electric Vehicle

Hao Zhang1, Guoqing Xu2,Weimin Li3, and Meilan Zhou4Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen ,

China

The structure of FLC

Fuzzy Logic Control Approach to the Energy Management of Parallel Hybrid Electric Vehicles

Dengke Lu1, 2, Weimin Li1, Guoqing Xu1, 3, 4, and Meilan Zhou2

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

2Harbin University Of Science And Technology, Harbin 150080, China3Department of Electrical Engineering, Tongji University, Shanghai 200092, China;

4Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, China

The power system of PHEV

• First proposes an strategy based on fuzzy control of EMS.

• Then simulation with three different drive cycles by using ADVISOR.

• Finally analysis results and it will be compared with the rule-based of electric assist control strategy.

Multiple Crane Scheduling in Batch Annealing Process with No-delay Constraints for Machine

Unloading Xie Xie1, Yanping Li2 and Yongyue Zheng3

1,2 Key Laboratory of Manufacturing Industrial and Integrated Automation, Shenyang University Shenyang, China

3Liaoning Institute of standardization, Shenyang, China

• This paper investigates the problem of multi-crane scheduling in batch annealing process in steel enterprises so that the completion time of the last annealed coil (makespan) is minimized.

• We present a heuristic algorithm and propose some properties forderiving a lower bound to verify the performance of the proposedheuristics.

• We show the worst case bound of our heuristic algorithm.

Layout of a batch annealing workshop

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3(0, )y

x

y

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3rd Floor

T-21



Meeting Room, 26F (5) 17:40-18:00


TE2:Image/Video Processing III

Session Chair: David Zhang and Jason Gu

An Method of Feature Line Extraction of Triangle Mesh Surface

Zhao Jibin, Xia Renbo, Liu WeijunShenyang Inst. of Automation, Chinese Academy of Sciences

Shenyang, China

• An algorithm of effective feature line extraction for triangle mesh model is proposed.

• Firstly the principal curvatures and principal directions of vertex of triangle mesh model are analyzed and feature vertex is confirmed.

• then the method of “seed growth” to extract feature line is proposed.

• Experiments and applications show that the method is not only simple and extracting feature rapid, but also extract stably and exactly feature line. selection of the feature point

A Partial Differential Equation Algorithmfor Image Enhancement

Yanan Fu, Tingfang Yan, David W. Zhang and Max Q.-H. Meng School of control Science and Engineering, Shandong University, Jinan, China

Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China

• A novel approach for image enhancement is presented in this paper.

• Three kinds of enhancement operation execute in one PDE based framework at the same time.

• Experimental results demonstrate that the method substantially improves the subjective quality of the enhanced images. Experimental Results

Analysis of DXF File with an Application to 3D Graphic Display

Wen Shang, Jun Zhong, and Qin YanSchool of Mechanical and Electrical Engineering, Suzhou University of Science and

TechnologySuzhou, China

• A comprehensive analysis of DXF file including all kinds of entities, such as line, circle, ellipse, polyline, spline.

• Application to 3D display of planar graphs based on OpenGL, such as advertisement words.

3D Graphic Display of Advertisement Words

Image Segmentation by ImprovedLevel Set Evolution Algorithm

haiying Liu1, tingfang Yan1, Yu Cheng1, Yanan Fu1, Max Q.-H. Meng211.School of Control Science and Engineering, Shandong University, Jinan, China

2.Department of Electronical Engineering, Chinese University of Hong Kong, Hong Kong, China

• This paper investigated novel schemes concerning a variational level set evolution algorithm.

• Time-consuming re-initialization process is replaced by the internal energy.

• Variable energy modify the curve evolution direction according to the image information.

• The results validate the considerable performance of our algorithm.

Numerical Simulation Results

(b) New Algorithm

(d) Li Chunming

(a) Initial contour

(c) C−V

An Automatic Method for Detecting Objects of Interest in Videos Using Surprise Theory

Yuanlong Yu1, 2 , Jason Gu1, 3 and David W. Zhang 3

1Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, Canada2School of Automation, Beijing Institute of Technology, Beijing, China

3Shandong University, Jinan, Shandong, China

• Automatic object detection aims to automatically decide which objectsshould be captured and where they are in each frame of the video.

• Surprise theory is used to estimate a saliency map which indicates the degree of interest for each pixel.

• Branch-and-bound algorithm is then used to localize objects of interest one by one in the descending order of saliency.

Framework of Automatic Object DetectionMeeting Room, 26F

T-22

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TE3:Networks and Communications II

Session Chair: Qiang Huang and Yili Fu


Automated Network Analysis by Projected Power Method

Zi Wang, Beijing Univ. of Posts & TelecommunicationsWenye Li, Macao Polytechnic InstituteYan Sun, Queen Mary Univ. of London

• Objective: to partite a network into different communities based on Newman’s modularity model

• Method: Spectral partition + iterative rounding (Li et. al’2011)

• Contribution: Establish relations between Li’s method and Projected Power Method

• Implication: Further analysis of Li’s method

Probabilistic Inference over Sensor Networks for Clusters: Extension to Multiple States

Wenye LiMacao Polytechnic Institute, Macao SAR, China

• Model: to partite sensor networks trading-off intra-communication, inter-communication and individual sensor energy with uncertainties

• Contribution: a probabilistic inference algorithm for fast detection of cluster assignments

• Evaluation: significant improved speeds over conventional heuristics

A Location-Aware Parallel MAC Protocol for MultihopWireless Networks

Guoyan Yang, Xin Guan, Yahong GuoCollege of Information Science and Technology Heilongjiang University

Harbin China

Abstract—In this paper, we propose an efficient parallel transmission MAC protocol based on geographical location information of nodes. The protocol breaks through the limit of parallel transmission based on traditional CSMA MAC protocols, for this protocol exploits nodes’ geographical location information to achieve the parallel transmission of exposed terminal, so as to enhance the reuse efficiency of the valuable wireless channel resources. According to the location coordinates of the nodes, this paper explores the feasibility analysis of parallel transmission of exposed terminal node, and completes the parallel check. Simulation results show that, compared to IEEE 802.11 DCF protocol, the proposed MAC protocol can significantly improve the average throughput of the network, reducing data transmission delay, and effectively improving the efficiency and performance in Multihop Wireless Networks.

Anatomy of compromising email accountsSeema Khanna, Dr. Harish Chaudhry

National Informatics Center, Indian Institute of TechnologyIndia

• The immediate objective of this research review paper is to carefully examine the ways in which email are compromised and to find countermeasures for the same. Future work and advanced methodologies can be developed for the same.

• One more supplementary objective is to draw attention and make email users aware of the latest attacks, trends and variousmethodologies used by the hacker to gain unauthorized access to the users' email accounts.

Cloud Security: Analysis and Risk Management of VM ImagesGundeep Singh Bindra, Prashant Kumar Singh, Krishen Kant Kandwal, Seema Khanna,

SRM University, HCL Technologies, Tata Consultancy Services, National Informatics CenterIndia

Cloud computing may be defined as management and provision of resources, software, applications and information as services over the cloud (internet) on demand. Cloud computing is a flexible, cost-effective, and proven delivery platform for providing business or consumer IT services over the Internet. With its ability to provide users dynamically scalable, shared resources over the Internet and to avoid large upfront fixed costs, cloud computing has recently emerged as a promising hosting platform that performs an intelligent usage of a collection of services, applications, information and infrastructure comprised of pools of computer networks, information and storage resources. However, critical information on the cloud motivates the hackers and presents a serious threat to the critical information ,thus creating a need for security. In this paper, we explain how cloud computing along with its open secure architecture emphasize on various security threats in cloud computing, the existing methods to control them, along with their pros and cons. This research paper also focuses on providing the security on VM images which are the foundation for the overall security of the cloud.

T-23




Session Chair: Hong Shao and Yaonan Zhang


TE4:Biomedical Instrumentation II

Time-frequency Analysis of Heart Sounds in Telemedicine

Consulting System for AuscultationZhao Yue, Jihong Liang, Yanli Shen

Sino-Dutch Biomedical and Information Engineering School, , Northeastern UniversityShenyang, China

• Heart sound signal is one of the most important physiological signals of human beings.

• Denoise of heart sound• Envelope extraction of heart sound• Features in time domain• Features in frequency domain

Features in time andfrequency domains

Study on the Variability of Pulse Wave and ECG ofGraduate Students with Different Body Positions

Li Yan, Sainan Yin, Shuhong Wang, Jia liu, Lisheng Xu, and Yong ZhaoCollege of Information Technology, Heilongjiang Bayi Agriculture University

Daqing, China

• The pulse contours of 20 subjectshave two kinds of waveforms: has a tidal wave or not. LVET in Group 2 is larger than that in Group 1.

• From supine to standing, 95% subjects’ diastole gets shorter; all subjects’ HR is accelerated andPWTT decreases.

• In supine position, 100% subjects’DBP significantly decreased about 11.2 mmHg and 90% subjects’ SBP reduced about 7.7 mmHg. The Scenario of this Experiment

A Family Medical Monitoring System Based on Embedded uC/OS-II and GPRS

Weili Zhou Jingsheng Liao Baopu Li Jingrong Li South China University of Technology Guangzhou,China

Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen,China

• High integration(blood pressure(BP), blood oxygen(SpO2), respiration, electrocardiogram(ECG))

• Low cost(self designed sensor board)• GPRS remote monitoring(a competitive

home based wireless medical monitoring solution in the future)

Family monitoring system

An Extensible Embedded Terminal Platform for Wireless Telemonitoring

Xiang Fang Jingsheng Liao Ruyi Zhang Pingqiang Ni Baopu Li Max Q.-H. MengShenzhen Institutes of Advanced technology, Chinese Academy of Sciences,

Shenzhen, China

• Extensible digital interface to biomedical sensors according to different needs.

• Perfect power management unit with efficiency and energy conservation.

• Transmit physiological signals through 3G or WLAN in real-time.

• Ingenious design of device driver programs to support interaction between hardware and application.

The embedded terminal

The Implementation of Pulse Wave Signal Generator Based on Piecewise

Gaussian-Cosine FittingLisheng Xu, Dan Song, Jueli Chen, Quanhai Fu，Hao Wang，Max Q.-H. Meng

Key Laboratory of Medical Image Computing (Northeastern University) , Ministry of Education

• This system works as an special signal generator for pulse wave detection equipment

• Using a method of pulse wave modeling: Piecewise Gaussian-Cosine Fitting, pulse wave can be reconstructed according to its feature points

• Based on FPGA device， using SOPC developing flow to constitute a pulse wave generator

• Different kinds of pulse wave can be generated as well as noises.

The pulse wave generator

The anolog output shownin oscilloscope

T-24

Friday, June 8, 2012

FA‐1 Pattern Recognition

FA‐2 Advanced Robots III

FA‐3 Signal Processing

FA‐4 Biomedical Instrumentation III

FP‐1 Pattern Recognition II

FP‐2 Control Applications

FP‐3 Signal Processing II

FP‐4 Computer Aided Diagnosis

FE‐1 Pattern Recognition III

FE‐2 Sensors

FE‐3 Signal Processing III

FE‐4 Computer Application




Session Chair: Yaonan Zhang and Shuang Song

Zhu Hall, 2nd Floor 10:20-12:00 Friday, June 8

FA1:Pattern Recognition

A Novel Object RecognitionSystem for Cognitive Robot

Yang Luo1, Yongqiang Gao1, 2, Li Liu1, Xinyang Huang1

1School of Computer Science and Technology, University of South China, Hunan, China2Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Structures of images library, Cup detection and recognition

• Proposing three hypotheses• Target objects segmented• Objects classified• Information stored

• Combining cognitive psychology • Finding given object from scene• Finding given object from image

library• Finding given object from scene

A Novel Paddy Field Algorithm Based on Pattern Search Method

Xin Kong, Yen-Lun Chen, Wei Xie, and Xinyu WuShenzhen Institutes of Advanced Technology, CAS, Shenzhen, China

College of Electronic and Information Engineering, SCUT, Guangzhou, ChinaDepartment of Mechanical and Automation Engineering, CUHK, Hong Kong SAR, China

• This paper proposed a hybrid optimization algorithm to efficiently solve the optimization problems.

• This paper combines the global optimization capability of PFA and the local optimization capability of PS.

• The simulation results based on three sample functions alongside with PFA and PS show that the hybrid algorithm performs well.

• The effect of various parameters on the performance of the hybrid algorithm is investigated. The simulation results

Revisiting Principal-Axes Aligned Conics: A Unified Algebraic Constraint and Geometric

Interpretation for Camera CalibrationShen Cai, Longxiang Huang, and Yuncai Liu

Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong UniversityShanghai, China

• Use the intersection points to obtain the unified algebraic constraint of PAA conics and corresponding geometric interpretation.

• Analyze the ambiguity problem of determining unknown parameters.

• Propose a nonlinear optimization for PAA conics to estimate the radial distortion and get better results. Geometric Interpretation

of PAA conics

Carotid Artery Segmentation in 3D UltrasoundImages Using a Hybrid Framework

Xiaotong Wang and Yaonan Zhang Sina-Dutch Biomedical and Information Engineering School

Northeastern University Shenyang, China

• A hybrid method based on region and boundary information.

• Including region growing algorithm, marching cubes and deformable model for the segmentation.

• Developed with the context of the Insight ToolKit (ITK)..

• High quality segmentation results and computational efficiency.

Design and Implementation of a High-Performance Client/Server

Voiceprint Recognition SystemGuanyu Gao, Kai Kang, Shengxiao Guan, Guanhua Gao

University of Science and Technology of ChinaHefei, China

• This paper designs and implements an authentication system of client/server architecture based on voiceprint recognition.

• We propose a new method of endpoint detection named short-term variance which can effectively pick up the voice signal from the original signal in actual environment.

• In order to boost the server’s performance, we implemented a new parallel algorithm for VQ codeword search on the SMP system.




FA2:Advanced Robots III

Session Chair: Chengjin Zhang and Wei Liu

Ballroom 3, 2nd Floor 10:20-12:00 Friday, June 8

Design and Implementation of a Finger Haptic Device for Large-Scale Force-Tactile Hybrid

Haptic RenderingZhongqing Liu, Yanhe Zhu and Jie Zhao

State Key Laboratory of Robotics and System, Harbin Institute of TechnologyHarbin, China

• The principles of operation of thefinger haptic device are discussed.

• The μ-U calibration experiment platform is established.

• Two experiments were designed to verify the feasibility and practicality for the finger haptic device.

The Finger Haptic Device

The rubber parts can reduce the sliding force values and vibration, compared to the rigidity parts.

The rubber can imitate the characters of that natural caterpillar.

Experiment Platform for Sliding-Force Testing

A Method to Reduce the Sliding Force on Adhering Points of Caterpillar Climbing Robot

WANG Wei, ZHAO LongchaoRobotics Institute, Beihang University, Beijing City, China

Experimental Validation of Optimal Load-allocation Control in Pace Gait Ladder Decent Motion

for Multi-Locomotion Robot (MLR)Zhiguo Lu1, Kosuke Sekiyama1, Tadayoshi Aoyama1, Yasuhisa Hasegawa2, Toshio Fukuda1

1: Nagoya University, Japan 2: University of Tsukuba, Japan

• A general energetically efficient optimization method was presented.

• The internal stress inside the closed chain was adjusted using a key joint method.

• The optimal load-allocation control was applied for allocating the robot load.

Snapshots of vertical ladder decent motion for MLR.

Experiments of obstacles and collision avoidance with a distributed multi-robot system

Filippo Arrichiello1, Stefano Chiaverini1, Vaibhav Kumar Mehta2

1) University of Cassino and Southern Lazio, Cassino, Italy2) L.N. Mittal Insititute of Information Technology, Jaipur, India

• Feature based EKF localization algorithm for indoor environment

• Behavior based technique to navigate avoiding obstacles and collisions

• Preliminary experiments with a team of four mobile robots with laser range finder and communicating via ad-hoc network

Team of Khepera III mobilerobots used for the experiments

Study on Intelligent Visual Servoing of Space Robot for Cooperative Target Capturing

Ye Shi , Bin Liang, Xueqian Wang, Wenfu Xu and Houde LiuDepartment of Control Science and Engineering, Harbin Institute of Technology

Harbin, China• One important area for the

application of space robotics is autonomous On-Orbit Servicing (OOS) of failed spacecrafts.

• Visual servo of eye-in-hand type system is one of the most promising approaches to perform this task.

• Taking account of the special aspects of space environment such as lighting and available computing power, to realize a safe and reliable real-time visual servoing operation.

Autonomous robotic capture of a satellite

T-26




FA3:Signal Processing

Session Chair: Lu Wang and Lisheng Xu


A Closed-form Approach to Acoustic Source Localization

Guogang Xiong, Xiaoyun Li, Xinyu Wu and Yongsheng Ou

• Acoustic source location is determined by Time Difference of Arrival (TDOA)

• closed-form solution to Acoustic Source Localization can be found easily and directly

• Three typical four-sensor arrays are mainly concerned. In some special directions, the error of planar arrays raises sharply

• In practical applications, as the closed-form solution includes two possible sources, four-sensor array can’t provide the unique source as the existence of ambiguity. A five-sensor array to exclude the ambiguous source is provided.

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Chinese University of Hong Kong, Hong Kong SAR, China

Analysis of Large Scale Ionospheric Tilts Effects on the Error of Single Site Location

Yuan Xiao‐huaThis paper analyzes the effect of large scale ionospheric tilts on the errors of single site location by establishing a simplified model for large scale ionospheric tilts in a three‐dimensional coordinate. An equation including the coordinate of the reflection point and a numerical resolution to the equation based on Newton‐Raphson iterative algorithm are given. Then the curves of error of single site location versus tilts angle, direction and target range is given by simulations

Model of large scale tilts influence on signal propagation in HF Model of SSL error

A Method of Close-Range Calibration of Fisheye Lens Camera

Xiangji CHEN, Guoqiang HANSchool of Computer Science and Engineering, South China University of Technology，

Guangzhou,China• An object distance related fisheye

camera model, which is derived from the two-step projection model and extended in some respects, is proposed.

• The method of calibration based on the model is provided.

• We will show how given three image of a planar pattern we can recover the intrinsic parameters of the camera and how the model work when rectify images shot at different object distances.

M

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Humanoid Walking Pattern Generation Based on the Ground Reaction Force Features of Human Walking

Zhangguo Yu, Xuechao Chen, Qiang Huang, Huaping Wang, and Si ZhangIntelligent Robotics Institute, Beijing Institute of Technology, China

• Investigated the ground reaction force features and ZMP of human walking.

• Proposed a method to design the humanoid ZMP to mimic human ZMP trajectories.

• Presented a model for alternating the support leg smoothly to decrease the contact impact.

• Verified of the validation of the proposed methods by simulation and experiment on a real humanoid. BHR-4 Humanoid Walking

Epileptic Seizure Detection Using Wavelet Transform Based Sample Entropy and

Support Vector MachineLing Han Hong Wang Cong Liu Chunsheng Li

Sino-Dutch Biomedical and Information Engineering School NortheasternUniversity Shenyang, Liaoning Province, China

• Fifth-level wavelet decomposition was applied to EEG acquired from epileptic patients.

• SampEn of the wavelet coefficients were computed and selected as features to characterize the EEG.

• The SVM is used to classify.

EEG (epileptic seizures )and the Sample entropy

T-27




Session Chair: Shuxiang Guo and Shihai Xiang

Lian Hall, 2nd Floor 10:20-12:00 Friday, June 8

FA4:Biomedical Instrumentation III

Bluetooth Low Energy (BLE) Based MobileElectrocardiogram Monitoring System

Bin Yu, Yongxu Li and Lisheng XuSina-Dutch Biomedical and Information Engineering School

Northeastern University Shenyang, China

• Real-time, long-term wireless healthcare monitoring.

• Single-chip Signal Acquisition Module.

• Bluetooth Low Energy technology used in healthcare field.

• Smart-phone platform application.

BLE-Based ECG Monitoring System

Design of dynamic synchronous multi-channel data acquisition system for lung sound based on

FPGA Benjin Wang，Lei Miao，Huiying Dong，Zeguang Zheng，Hongyi Li

State Key Laboratory of Robotics，Shenyang Institute of Automation (SIA)Chinese Academy of Sciences (CAS) , Shenyang , Liaoning Province, China

• simultaneous data acquisition system structure.

• a brief introduction to lung sound• system hardware description and

software design

Data acquisition system

The Design and Implementation of a Mechanical Quick Connector for Medical Equipment

Jie Yan, Hao Liu, Guixiang Li, and Yanmin LiState Key Laboratory of Robotics, SIA, Chinese Academy of Sciences

Shenyang, China• Several commonly used mechanical

connectors in the field of medical equipment was enumerated and analyzed.

• A new mechanical quick connector for medical equipment was designed.

• Several calculations were done to make sure the mechanical structure could work.

• The actual mechanism was processed, it could function quickly and stably.

The Mechanical Quick Connector

An Improved Method for Risk Assessment ofCarrier-Based Aircraft

Qidan Zhu, Hui Li, Zhi Zhang and Lipeng WanDepartment of Automation, Harbin Engineering University

Harbin, China• The aircraft system was established

with its flying qualities which include normal overload response criterion and C* criterion evaluated.

• The pilot-aircraft system including attitude control loop and trajectory control loop is established.

• Longitudinal Safe Flight Area was determined by simulation, according to distribution of touchdown points and hook-to-ramp clearance.

• The method of risk assessment was designed according to risk coefficients of reference points.

The pilot-aircraft system

Construction of 3D Vessel Model of the VR Robotic Catheter SystemBaofeng Gao, Shuxiang Guo, Nan Xiao，Jin Guo

Xufeng Xiao, Shu Yang, Mohan QuFaculty of Engineering, Kagawa University， Japan

• In this paper, we introduce a kind of Virtual Reality based Robotic Catheter System which can be used for the training of the interns to do the operation.

• For the VR system, we use the master side as the controller, and we use the open source code DCMTK to read the information of “.DCM” file and carry out the CT image segmentation for the Virtual Reality based Robotic Catheter System and we use Open Scene Graph (OSG) to realize the 3D image output and catheter control of the Virtual Reality System.

T-28





FP1:Pattern Recognition II

Session Chair: Jason Gu and Shuang Song

Mining the Functional Relations in the Neighborhood of Splice Sites�

Ying Wang, Qinke Peng, Tao Xu and Jia LvSystems Engineering Institute and

School of Electronic and Information EngineeringXi’an Jiaotong University

Xi’an, 710049, China

Accurate identification of splice site is a critical component of bioinformatics and efficient feature representation plays an utmost important role in splice site identification. We proposed a new feature representing method utilizing neural networks to generate the new feature by modeling the possible functional relations in the neighborhood of splice sites. The experimental results on HS3D dataset and the homo sapiens dataset of EID showed that the features represented by our method were effective. And this might indicate that the functional relations in the neighborhood of splice sites are existed..

An Improved Random Forest Classifier for Image Classification

Baoxun Xu, Yunming Ye, and Lei NieShenzhen Graduate School, Harbin Institute of Technology

Shenzhen, China

• This algorithm is particularly designed for analysing very high dimensional data with multiple classes whose well-known representative data is image data.

• A novel feature weighting method and tree selection method are developed and synergistically served for making random forest framework well suited to classify image data with a large number of object categories.

• With the new feature weighting method for subspace sampling and tree selection method, we can effectively reduce subspace size and improve classification performance.

A Robust Local Census-based Stereo Matching Insensitive to Illumination changes

Xin Luan, Honghong Zhou, Dalei Song, Fangjie Yu, Xiufang Li and Bing XueOcean University of China

Qingdao, China

• we present a novel robust census transform stereo matching algorithm

• We take the summation of the intensity mean and a small value as the center pixel to revise the classic census transform.

• Experiments have been carried out and the results show that the proposed algorithm achieves high efficiency and accuracy and is robust to the illumination changes.

Disparity map of real-word scenes

A New Affine Registration Algorithm Applied to Off-line Signature Verification

Wei Tian, Jingyuan LvSchool of Electrical Engineering, University of Jinan

Jinan, China• The proposed method is based on

offline signature verification by a novel algorithm for affine registration of 2D point sets.

• Verification function is achieved based on a difference between the points which can be determined by an unknown rotation.

• The algorithms have shown promising results, also it gives better recognition rates in a public signature database.

Matching points for off-line signatures

Iterative Method for Two Line Element ConversionLi Weiping , Qiu Hongxing , Dang Qi

College of Astronautics , Northwestern Polytechnical UniversityJinan, China

• Describe SGP4,SDP4 model.• Describe iterative algorithm for

converting classical osculating orbit element to TLE.

• Use a state vector instead of osculating orbit element to ensure convergence.

• Verify the algorithm and give an example. Elements Calculation Flow




FP2:Control Applications

Session Chair: Chunyi Su and Jianda Han


Experiments of Bilateral Teleoperation of a Formation of Nonholonomic Mobile Robots

Through Constant Delay CommunicationOscar M. Palafox* and Mark W. Spong

*Aerospace Engineering Department, Texas A&M University, College Station, TX, USA

• Novel single master multiple slave bilateral teleoperation for mobile robots.

• Constant delay considered in communication channels.

• Using partial feedback linearization, synchronization of dynamics. systems and switch stability results.

• Experimental validation of theoretical findings.

Formation Teleoperation

Qidan Zhu, Yongtao Yu, Zhi Zhang ,Wen Zhang and Zixia Wen

Department of Automation, Harbin Engineering UniversityHarbin, China

• A new discrete variable structure APCS based on conditional integral sliding surface and disturbance compensation was designed.

• Some automatic carrier landing simulations with airflow disturbance were carried out.

• With compared with the traditional APCS, the aircraft with the proposed APCS has better path tracking performance. Longitude architecture

of ACLS

Design of Approach Power Compensation System for Carrier-Based Aircraft Using Conditional Integral Sliding Surface

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Switching LPV Control for Aircraft Lateral-Directional Axis During Powered Approach

Qidan Zhu, Zixia Wen, Zhi Zhang, Yongtao Yu and Wen ZhangDepartment of Automation, Harbin Engineering University

Heilongjiang, China

• The angle of attack varies from 2 degree to 14 degree, and the corresponding airspeed varies from 337 km/h to 233 km/h, respectively. So the model of aircraft varies greatly, single controller can’t acquire good performance.

• Switching linear parameter varying (LPV) is employed to aircraft control system for getting a high handling quality.

• Multi-Lyapunov functions technique performs well in aircraft control system for the angle of attack varying in a wide envelop.

Aircraft Lateral Control Diagram

Modeling and Simulation of Gas Scheduling System in Iron and Steel Enterprises

Bingzhi Gao, Zhilei Wang, Xiaoli Li, Yixin YinSchool of Automation and Electrical Engineering

University of Science and Technology BeijingKey Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education)

• Introduction of gas scheduling system

• Dynamic model of gas system• Optimization analysis • Architecture and simulation of gas

scheduling system

Zhilei Wang

The Multi-Pulse Control Algorithm of High Pressure Common Rail Diesel Engine Based on

Structure ArrayShuman Guo1, Tong Zhang2

1.Department of Mechanical Engineering ,North China Institute of Water Conservancy and Hydroelectric Power, zhengzhou, China 2. Henan Museum, zhengzhou, China

ECU hardware structure

T-30




FP3:Signal Processing II

Session Chair: Hao Zou and Wei Liu


Fractal Dimension Applied in Texture Feature Extraction in X-ray Chest Image Retrieval

Shao Hong, Duan HuidongSchool of Sino-Dutch Biomedical and Information Engineering, Northeastern University

Shenyang, China• Before texture feature extraction,

image preprocessing have been used for improving the contrast and SNR of the image.

• Some transforms have been done on image matrices to better express the direction details of x-ray chest images.

• The experiment results show that the retrieval system with the fractal algorithm has relatively high precision and recall up to about 85%.

Preprocessing result of x-ray chest image

Design of A Real-Time ECG Filter for Resource Constraint Computer

Ruyi Zhang1, Xiang Fang1, Yuanqi Liu1, Jingsheng Liao1,Baopu Li1 and Max Q.-H.Meng2

Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences. Shenzhen, Guangdong Province, China

• a digital filter design method for resource constraint microprocessor.

• integer coefficients, low computation complexity, good denoising performance.

• verified by MIT/BIH Arrhythmia Database and tested on a MSP430 platform for performance evaluation.

Clean ECG Signal

Constructing Chinese Domain Lexicon with Improved Entropy Formula for Sentiment

Analysis Jing Zhang, Qinke Peng

Systems Engineering Institute, Xi’an Jiaotong UniversityXi’an, China

Sentiment analysis can promptly find the public attitudes and mental states to provide basis for the decision-making. In this paper, we introduce a method to calculate sentiment scores of words and phrases in different domains for sentiment analysis. This methodnot only makes up the defect that existing lexicons couldn't adapt to different domains and cyber words, but also avoids high cost of manual annotation in corpus-based approaches. Meanwhile, in order to avoid the high dimensions and sparseness in "bag of words" method, we calculate weighted sum of sentiment score in a reviewfor classification. The results of experiments show that our method is available for sentiment classification on movie and stock reviews.

An Improved Lower Bound for A General Case of The Master-plate Design Problem

Xie Xie1, Yanping Li2 and Yongyue Zheng3

1,2 Key Laboratory of Manufacturing Industrial and Integrated Automation, Shenyang University Shenyang, China

3Liaoning Institute of standardization, Shenyang, China

• This paper investigates a master-plate design problem encountered in the heavy plate mill of the steel industry.

• Our problem is a more general case which is not only to determine the size of each order-plate within a specified range but also to decide the size of each created master-plate.

• We formulate this problem as a mixed-integer program, and present an improved lower bound for verifying the effectiveness of a proposed algorithm.

Process flow for manufacturing steel plates

A New Stereo Matching Algorithm based on Image Segmentation

Zi-wei Zhou1,Ge Li, Ji-zhuang Fan and Jie ZhaoState Key Laboratory of Robotic and System,Harbin Institute of Technology,Harbin, China

• The basic concepts of Stereo Matching

• The mathematical model of the graph cuts algorithm

• The improvement of the algorithm in matching speed

• Result of the experimentsThe Image pair and the

matching results

T-31




Session Chair: Li Ke and Fangfang Jiang


FP4:Computer Aided Diagnosis

The Carotid Intimal-media Thickness Measurement of Ultrasound Images Based

on an Improved Chan-Vese ModelYang Gao, Yaonan Zhang

Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang China

• A semi-automatic method to measure the carotid intima-media thickness based on Ultrasound images.

• The segmentation we use is an improved Chan-Vese Model.

• The first improved point is due to Rayleigh; the second is adding local information to the model. Segmentation Result

A Computer-Aided Lesion Diagnose Method Based on GastroscopeIimage

Pan Liang1, 2, Yang Cong1 and Mo Guan2

1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences

2Shenyang University of Technology, Shenyang, China

• Take samples in images which were labeled by clinicians.

• Extract RG, OPPO, HUE color histogram, and LBP texture.

• Make classification with SVM classifier.

• Make classification for each patch in detecting images with above features.

The Gastroscopelimage

Detection of the Period of Voice Based on WaveletDejun Guan1, Yue Zhong2 , Jinhan Feng2 ,Lisheng Xu2,3 , Liping Wang4.

1Shenyang Radio and Television University, Shenyang, Liaoning, 1100032Sino-Dutch Biomedical and Information Engineering School, Northeastern University

3Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education4Shengjing Hospital, Shenyang, Liaoning, China

• Importance and difficulties of the voice period detecting is introduced.

• Detecting period of vocal signals based on EGG signals, according to correlation between them.

• Period Detection of Voice Signal Based on the Wavelet Analysis.

• The experiment results show that this algorithm is feasible and effective.

Results of period detecting based on wavelet analysis

A Review of Surgery Navigation System Based on Ultrasound Guidance

Xiaozhao Chen, Nan Bao, Jianhua Li and Yan KangDepartment of Sino-Dutch Biomedical and Information Engineering, Northeastern University

Shenyang, China

• INTRODUCTION.• ULTRASONIC NAVIGATION

PARTICIPATE IN SURGERY NAVIGATION IN TWO WAYS.

• ULTRASOUND NAVIGATION SYSTEM WORKFLOW AND COMPONENTS.

• CONCLUSIONS.Surgery navigation guided by

intraoperative US images correcting preoperative images

Infiltrative Breast Cancer Initial DetectionBased on Double-Scale Sech Template Matching

Li Ke, Yingying Chen, Nan Li, and Yan KangInstitute of Biomedical and Electromagnetic Engineering,

, Shenyang University of Technology Shenyang, China

• Breast Region Extraction• Breast Pectoral-Muscle Remove• Double-scale Sech Template

Matching algorithm• Compare the results with the Sphere

template matching

The results of suspectedmass region detect

T-32




FE1:Pattern Recognition III

Session Chair: Jason Gu and Zhendong Liu


Derivative Code and Its Pattern for Object Recognition

Yao Cao, Baochang Zhang, Zhenhua Guo, and Jianzhuang LiuScience and Technology on Aircraft Control Laboratory, Beihang University

Beijing, China

• New feature descriptors for objects.• Derivative Code and Gabor based

models: Pixel-based hamming distance for palmprint recognition.

• Derivative Code Pattern (DCP): Region-based local pattern distribution for face recognition.

• Robust directional texture for object representation.

Palmprint and Face Recognition

Fault Pattern Recognition of Power-Shift Steering Transmission Based on Support

Vector ClusteringYing-feng Zhang, Tao Huang, Yan Yu, Jian-guo Bu, Biao Ma

Military transportation UniversityTianjin, China

• Support vector clustering is studied.• spectrometric oil analysis data is

analyzed and three parameters of feature information are developed.

• The influence of parameters on model performance is made.

• Forty groups of spectrometric oil analysis data is applied to do fault pattern recognition.

The influence of parameters onclustering region(C=0.2，σ=40 )

clusteringcurve

1st mode2nd mode3rd mode4th mode

R3

R2

Soft-sensing method based on modified ANN inversion and its application in erythromycin

fermentationYuhan Ding, Xianzhong Dai, and Guohai Liu

School of Electrical and Information Engineering , Jiangsu UniversityZhenjiang, China

• Use the measurable function variables in constructing the“assumed inherent sensor”.

• Reform the modelling steps to ensure the prior utilization of the lower order derivatives.

• More accurate.• Less sensitive to the

measurement noise. The soft-sensing method based on modified ANN inversion

1x̂

2x̂

3x̂

2x

3x

51 ~ uu

1x

1z

2z

2z

3z

1z

51 ~ uu

4z

Improved Approximation Algorithm of RNA

Structure Prediction with Pseudoknots

Zhendong Liu and Daming ZhuSchool of Computer Science and Technology , Shandong University

Jinan, China

• Based on MFE principle and the relative stability of the n-stems in RNA molecules.

• Minimum free energy method is adopted widely to predict RNA secondary structure .

• the algorithm takes O(n3) time and O(n2) space

• The algorithm not only reduces the time complexity to O(n3), but also widens the maximum length of the sequence .

ApproSearch 算法的计算实例

EBDT:A Method for Detecting LDoS AttackKai Chen, Huiyu Liu, Xiaosu Chen

School of Computer Sci. & Tech, Huazhong Univ. of Sci. & TechWuhan, China

•The Low-rate Denial of Service (LDoS) is a new type of DoS•Whenever a kind of LDoS attack occurs, the TCP traffic becomes unusual: its distribution and decreased degree are significantly different than those without any LDoS attacks.• EBDT is proposed, which detects LDoS attacks by analyzing the variation of TCP traffic.

180.09160.08140.07120.06100.0580.0460.0340.0220.010.03

50

40

30

20

10

0

Legitimate TCP

ACK

Traffic(bag/s)

Time(s)

LDoS attacks occurring

199.4 8179 .5 31 59 .5 81 39.63119. 6899.7879.8359.8839.9319.980.03

25

20

15

10

5

0

CI

CI

WS

EWMA

Time(s)

AP

LDoS attacks occurring




FE2:Sensors

Session Chair: Guohui Tian and Yunjian Ge


Study on Material Removal Rate of Electrolysis and Plasma Polishing

Ji Wang, Laichun Suo, Yili Fu and Lili GuanSchool of Mechatronics Engineering, Harbin Institute of Technology

Harbin, China

• Electrolysis and plasma polishing is a new technique that can replace the traditional polishing methods.

• The material removal rate is direct proportion to the electric current density under steady state of polishing.

• Voltage, temperature and concentration of the polishing solution and the workpiece’s diving depth in polishing solution are the important factors to influence the material removal rate.

Electrolysis and Plasma Polishing

1.DC Power 2.Workpiece3. Polishing Solution 4. Polishing Cell 5 . Gas Layer

Analysis of Cloacal-Septum-Related Gene Evolution in Vertebrate Development

Jing-shu Zhang1, Zhu-fei Wang1, Yi-jin Wang1 and Jesse Li-Ling 1,2

1. Sino-Dutch Biomedical and Information Engineering School, Northeastern UniversityShenyang, China; 2. Institute of Medical Genetics, School of Life Science & Key Laboratory for

Bio-resources and Eco-environment of Ministry of Education, Sichuan University, Chengdu, China

Comparison of non-DNA-binding protein sequences

Radical Basis Function Neural Network for A Novel Tactile Sensor Design

Xuekun Zhuang Department of Automation, USTC, Hefei

• Introduction

• Tactile sensor model based on conductive rubber

1. Properties of conductive rubber2. Numerical model of the sensor3. Decoupling algorithms

• Decoupling algorithm base on radial basis neural networks

1. Radial Basis Neural Networks2. Experiment results of RBF

• Conclusions

Using Least Square Support Vector Machine for Reducing the Cross-Sensitivity of Sensors

Jingling Chen, Wenbin Zhang, Chunguang Suo, Wensheng Gui ,Qingpeng WangDepartment of mechanical and electrical engineering, Kunming university of science

and technology, Kunming, 650093, China

• INTRODUCTION• INTELLIGENT SENSOR

SYSTEM SIMULATION MODEL• SET UP THE INVERSE MODEL

BY USING THE METHOD OF MULTIPLE-INPUT MULTIPLE-OUTPUT LS-SVM

• EXPERIMENT AND ANALYSIS• CONCLUSION

Compressed Infrared Bearing Sensor for Human Localization: Design and Implementation

YANG Yuebin, FENG Guodong, GUO Xuemei, and WANG GuoliSchool of Information Science and Technology, Sun Yat-sen University

Guangzhou, Guangdong Province, China

• This work proposes a compressed infrared bearing-sensor which can generate the light weight bearing measurements of the human target.

• The sensing efficiency of the sensor is optimized by the compressed sensing theory.

• The PIR detectors have been selected in this work and the visibility of the sensor is modulated by a metal mask. The compressed infrared

bearing-sensor

T-34




Session Chair: Yuexian Zou and Lisheng Xu


FE3:Signal Processing III

Rolling Force Prediction Based on Wavelet Multiple-RBF Neural Network

Yan Liu, Chaonan Tong, Fengqin LinKey Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education),

University of Science and Technology Beijing, China

The Rolling Force Prediction Model

RBF neural network1

Multi-resolution wavelet analysis

RBF neural network2

RBF neural network3

x1

x2

x3

y3

y2

y1

w1

w2

w3

Database

Rolling force

An Efficient Parallel Numerical Methodfor Large-scale Computational Models

of Cardiac ElectrophysiologyLianqing Wang, Yongfeng Yuan, Kuanquan Wang, and Mo Li

School of Computer Science and Technology,Harbin Institute of Technology, Harbin 150001, China

• Background and research status of parallel cardiac electrophysiological simulation.

• The numerical method suitable for parallel computing and the new global method proposed for no-flux boundary conditions treating proposed.

• Key technology of parallel implementation for the methods proposed.

• Results and discussions Conduction of electric activity

Design of Multi-stage Optimal Arbitrary Time-delay Filter

Keping Liu,Min Yang and Zhongwei WuCollege of Electrical & Electronic Engineering,Changchun University of Technology

Changchun, Jilin Province, China

• Advantages of MOATF:A. The robustness is greater than other

traditional input shapers.B. The delay time can be controlled

and choose freedomly.C. Simulation results demonstrated the

effective of MOATF forsuppressing residual vibration of flexible system.

Three-dimensional sensitivity curve for MOATF

5

10

15

0.10.2

0.30.4

0.50

10

20

30

40

50

60

Frequency(Hz)Time-delay(s)

（）

Per

cent

age

Vib

ratio

n%

A Novel Instantaneous Frequency-based Voice Activity Detection for Strong Noisy Speech

Wei Shi and Yuexian ZouAdvanced Digital Signal Processing Lab, Peking University Shenzhen Graduate School

Shenzhen, China

• A novel Voice Activity Detection algorithm under HHT framework.

• The Weighted Instantaneous Frequency Average is designed and proposed as the measurement.

• Good ability to extract voiced segments of speech.

• Better performance for Strong Noisy Speech compared with some conventional VAD algorithms. Result of WIFA-VAD

0 2 4 6 8 10-1

0

1Clean Speech

time(s)am

plitu

de

0 2 4 6 8 10-1

0

1Noisy speech (SNR=-5dB)

time(s)

ampl

itude

100 200 300 400 500 600 700

0.70.80.9

WIFA

frames

PCA and LDA for EMG-based Control of Bionic Mechanical Hand

Daohui Zhang, Anbin Xiong, Xingang Zhao and Jianda HanShenyang Institute of Automation, Chinese Academy of Sciences

Shenyang, China

• Do a comparative study of LDA and PCA for EMG classification.

• Select five time-domain features and four frequency-domain features of EMG.

• Choose five hand motion for classification.

• Do online control experiments of Bionic Mechanical Hand.

Five class of hand motionsin LDA space

T-35





FE4:Computer Application

Session Chair: Li Ke and Fangfang Jiang

Computer-Assisted Monte Carlo Simulation of Optimum Cut-off Grade in

Surface Mining Metal Ore DepositsLI Shou-guo, YANG Chang

Xi ' an University of Architecture and TechnologyXi’an, China

• Introduce a jump diffusionreal options price model to the t r a d i t i o n a l r e s e a rch o n mineral resources price, and deduce a back-calculation formula about cut-off grade.

• Then, produce some future p r i c e s b y s t o c h a s t i csimulation.

• And then, simulate the future price changing process by using computer-assisted Monte Carlo method and indirectly obtain the optimal current cut-off grade. Finally, take a mining enterprise as the detailed example to validate the results.

CAD/CAM Fabrication and Clinical Application of Mucosa-supported Template for the

Edentulous MaxillaZhichao Huang, Bingwei He

College of Mechanical Engineering, Fuzhou University, Fuzhou, ChinaJiang Chen, Yanqin Li

School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China

• Introduce the procedure of designing Mucosa-supported surgical template.

• Give an example of actual clinical application for an edentulous maxilla.

• Discussion and conclusion about the new method of designing template. Virtual implant

Visualization using Histogram Based Transfer Functions for 3D Cardiac Volume Data Set

Fangzhou Shen, Kuanquan Wang,Yongfeng Yuan, and Lianqing WangSchool of Computer Science and Technology, Harbin Institute of Technology

Harbin, China

• Introduction of Visualization• Design of 1D Histogram Based

Transfer Function• Design of 2D Histogram Based

Transfer Function• Experimental Results and Discuss

The rendering result

An Improved Trajectory Prediction Algorithm based on Trajectory Data Mining for Air Traffic

ManagementYue Song, Peng Cheng, and Chundi Mu

Tsinghua UniversityBeijing, China

• Radar data mining• Typical trajectory• Hybrid estimation• Improved trajectory prediction

accuracy

Improved prediction accuracy

0 5 10 15 20 25 30 35 400

0.5

1

1.5

2

2.5

3x 104 Average Prediction Error, kc = 23

T

Erro

r(m)

The Algorithm before ImprovedThe Improved Algorithm

Improved Periodic Output Feedback Control Method for Creep

Characteristic of Thick IPMC PlateZhiyong Sun, Lina Hao, Liqun Liu and Jianchao Gao

School of Mech & Auto, Northeastern University, Shenyang, China

• Creep model is proposed for thick IPMC plate modeling.

• Periodic Output Feedback Control method (POF) is studied for IPMC plate manipulation.

• Error integral compensation POF control method (IPOF) is developed for IPMC signal-tracking tasks.

• Position tracking tests are carried out for validating the control methods.

IPMC Plate Samples

T-36

ICIA2012 Session Chair Index

Chen,Jie ………………………………………………………………………………………………………………… WA2Chen,Jie WE1Fu,Yili ………………………………………………………………………………………………………………… TE3Gao,Han ………………………………………………………………………………………………………………… WE4Ge,Yunjian ………………………………………………………………………………………………………………… WP1Ge,Yunjian FE2Gu,Guoxiang ………………………………………………………………………………………………………………… TP1Gu,Guoxiang WP1Gu,Jason ………………………………………………………………………………………………………………… FP1Gu,Jason FE1Gu,Jason TE2Guan,Xueyuan ………………………………………………………………………………………………………………… TE1Guo,Shuxiang ………………………………………………………………………………………………………………… FA4Han,Jianda ………………………………………………………………………………………………………………… TP3Han,Jianda FP2Huang,Qiang ………………………………………………………………………………………………………………… WP3Huang,Qiang TE3Jia,Heming ………………………………………………………………………………………………………………… TP1Jia,Songmin ………………………………………………………………………………………………………………… WA1Jia,Songmin TE1Jia,Songmin WE2Jiang,Fangfang ………………………………………………………………………………………………………………… FP4Jiang,Fangfang FE4Kang,Yan ………………………………………………………………………………………………………………… TA4Ke,Li ………………………………………………………………………………………………………………… FP4Ke,Li FE4Kim,Yeoun-Jae ………………………………………………………………………………………………………………… TP4Li,Baopu ………………………………………………………………………………………………………………… WE3Li,Baopu TP2Li,Baopu TA2Li,Hong ………………………………………………………………………………………………………………… TP4Li, Zhijun ………………………………………………………………………………………………………………… WP2Liu,Wei ………………………………………………………………………………………………………………… WA3Liu,Wei TP2Liu,Wei FA2Liu,Wei FP3Liu,Zhendong ………………………………………………………………………………………………………………… FE1Mo,Hongwei ………………………………………………………………………………………………………………… WA1Qiu,Li ………………………………………………………………………………………………………………… WE1Romeny,B.M.ter Haar ………………………………………………………………………………………………………………… WE4Shao,Hong ………………………………………………………………………………………………………………… TE4Song,Shuang ………………………………………………………………………………………………………………… FA1Song,Shuang FP1Su,Chunyi ………………………………………………………………………………………………………………… FP2Tang,Lixin ………………………………………………………………………………………………………………… WA3Tang,Lixin WP3Tian,Guohui ………………………………………………………………………………………………………………… WE2Tian,Guohui FE2Wang,Hong ………………………………………………………………………………………………………………… TA4Wang,Kuanquan ………………………………………………………………………………………………………………… WA4Wang,Kuanquan WP4Wang,Lu ………………………………………………………………………………………………………………… FA3Xiang,Shihai ………………………………………………………………………………………………………………… FA4Xu,Dezhang ………………………………………………………………………………………………………………… TA3Xu,Guoqing ………………………………………………………………………………………………………………… TA1Xu,Lisheng ………………………………………………………………………………………………………………… FA3Xu,Lisheng FE3Yang,Jinzhu ………………………………………………………………………………………………………………… WP4Yue,Heng ………………………………………………………………………………………………………………… TA1

IEEE ICIA 2012 Session Chair Index

S-1

Zhang,Chengjin ………………………………………………………………………………………………………………… FA2Zhang,Chengjin WA2Zhang,David ………………………………………………………………………………………………………………… TE2Zhang,David TA2Zhang,David WE3Zhang,Hong ………………………………………………………………………………………………………………… TP3Zhang,Jianwei ………………………………………………………………………………………………………………… WP2Zhang,Jianwei TA3Zhang,Yaonan ………………………………………………………………………………………………………………… FA1Zhang,Yaonan TE4Zheng,Hairong ………………………………………………………………………………………………………………… WA4Zou,Hao ………………………………………………………………………………………………………………… FP3Zou,Yuexian ………………………………………………………………………………………………………………… FE3

IEEE ICIA 2012 Session Chair Index

S-2

ICIA2012 Author Index

2012 IEEE ICIA

A-1

A Abedi, Parvin...................................... T P 3 . 4 Ao, Dun.................................................. W A 3 . 1 Aoyama, Tadayoshi.............................. F A 2 . 3 Arrichiello, Filippo........................ F A 2 . 4 Azizi, Vahid........................................ W E 3 . 4 Azizkhani, Sahand.............................. T P 2 . 6

B Bai, Hongyang...................................... T E 1 . 1 Bao, Nan................................................ F P 4 . 4 Bindra, Gundeep Singh...................... T E 3 . 5 Bistooni, Meysam................................ T P 3 . 4 Bu, Jian-guo........................................ F E 1 . 2

C Cai, Baoqin.......................................... T P 2 . 5 Cai, Hegao............................................ W E 2 . 2 Cai, Jinfeng........................................ W P 4 . 5 Cai, Shen.............................................. F A 1 . 3 Cao, Yao................................................ F E 1 . 1 Chai, Tianyou...................................... W P 2 . 6 Chaudhry, Harish................................ T E 3 . 4 Chen, Fengxiang.................................. W P 3 . 4 Chen, Heping........................................ W P 2 . 4 Chen, Hongwei...................................... W P 2 . 1 Chen, Jialong...................................... T A 1 . 4 Chen, Jiang.......................................... F E 4 . 2 Chen, Jianke........................................ W A 4 . 3 Chen, Jie ............................................ W E 1 . 4 Chen, Jing-ling.................................. F E 2 . 4 Chen, Jueli.......................................... T E 4 . 5 Chen, Kai.............................................. F E 1 . 5 Chen, Ruijuan...................................... T A 4 . 4 Chen, Tongwen...................................... T P 3 . 3 Chen, Wei.............................................. W E 1 . 1 Chen, Xiangji...................................... F A 3 . 3 Chen, Xiaosu........................................ F E 1 . 5 Chen, Xiaozhao.................................... F P 4 . 4 Chen, Xuechao...................................... F A 3 . 4 Chen, Ya................................................ W P 1 . 1 Chen, Yen-lun...................................... F A 1 . 2 Chen, Yingying.................................... F P 4 . 5 Chen, Yingying W E 4 . 4 Cheng, Hongtai.................................... W P 2 . 4 Cheng, Hui............................................ W E 3 . 5 Cheng, Jun............................................ T A 2 . 2 Cheng, Nong.......................................... W A 2 . 5 Cheng, Peng.......................................... F E 4 . 4 Cheng, Peng W A 2 . 5 Cheng, Yu.............................................. T E 2 . 4 Chiaverini, Stefano.......................... F A 2 . 4 Choo, Yoo Sang.................................... T A 1 . 5

Cui, Wei................................................ W A 1 . 4

D Dai, Xiang............................................ T A 1 . 2 Dai, Xianzhong.................................... F E 1 . 3 Dai, Yin................................................ W P 4 . 1 Dang, Qi................................................ F P 1 . 5 Deng, Feiqi.......................................... T A 2 . 2 Diao, Jietao........................................ W A 2 . 1 Ding, Liang.......................................... W P 2 . 2 Ding, Qichuan...................................... T P 2 . 2 Ding, Yuhan.......................................... F E 1 . 3 Dong, Huiming...................................... T P 4 . 5 Dong, Huiying...................................... F A 4 . 2 Du, Bianjing........................................ T A 3 . 3 Duan, Huidong...................................... F P 3 . 1 Duan, Xiaoli........................................ W P 3 . 5 Duan, Yane............................................ W A 3 . 5 Duits, Remco........................................ T A 4 . 3

E Elhelw, Mohamed.................................. W A 2 . 4 El-sayed, Agwad.................................. W A 2 . 4

F Fan, Jinhui.......................................... T E 1 . 2 Fan, Jizhuang...................................... W E 2 . 2 Fan, Jizhuang W E 2 . 5 Fan, Ji-zhuang.................................... F P 3 . 5 Fan, Linan............................................ W E 4 . 2 Fan, Ningjun........................................... F A 3 . 4 Fang, Xiang.......................................... F P 3 . 2 Fang, Xiang T E 4 . 4 Fang, Zheng.......................................... W P 3 . 3 Feng, Gang............................................ W E 1 . 5 Feng, Guodong...................................... F E 2 . 5 Feng, Jinhan........................................ F P 4 . 3 Feng, Jinhan W A 4 . 4 Feng, Wei.............................................. T A 4 . 2 Feng, Wei T P 4 . 1 Feng, Xisheng...................................... T P 1 . 5 Feng, Ying............................................ W P 2 . 6 Fu, Ling................................................ W E 4 . 5 Fu, Quanhai.......................................... T E 4 . 5 Fu, Yanan.............................................. T E 2 . 2 Fu, Yili................................................ F E 2 . 1 Fu, Yili W P 2 . 1 Fukuda, Toshio.................................... F A 2 . 3

G Gai, Qun................................................ T A 3 . 5 Gan, Lixin............................................ T P 2 . 3

2012 IEEE ICIA

A-2

Gao, Baofeng........................................ F A 4 . 5 Gao, Bingzhi........................................ F P 2 . 4 Gao, Guangyong.................................... T P 2 . 5 Gao, Guanhua........................................ F A 1 . 5 Gao, Guanyu.......................................... F A 1 . 5 Gao, Haibo............................................ W P 2 . 2 Gao, Jianchao...................................... F E 4 . 5 Gao, Junyao.......................................... W A 1 . 2 Gao, Liwen............................................ T E 1 . 2 Gao, Weinan.......................................... W P 3 . 3 Gao, Yang.............................................. F P 4 . 1 Gao, Yongqiang.................................... F A 1 . 1 Ge, Shuzhi............................................ T A 1 . 5 Ge, Yunjian.......................................... F E 2 . 3 Geng, Ping............................................ W E 4 . 1 Ghaebi Panah, Payam.......................... T P 2 . 6 Gong, Ke................................................ W P 4 . 3 Gong, Shujun........................................ T A 3 . 1 Gu, Guoxiang........................................ W E 1 . 2 Gu, Jason.............................................. T E 2 . 5 Gu, Wenjuan.......................................... W E 4 . 2 Guan, Dejun.......................................... F P 4 . 3 Guan, Dejun W A 4 . 4 Guan, Lili............................................ F E 2 . 1 Guan, Mingjie...................................... T A 1 . 1 Guan, Shengxiao.................................. F A 1 . 5 Guan, Xin.............................................. T E 3 . 3 Guan, Xinping...................................... W E 1 . 5 Guan, Xueyuan...................................... T E 1 . 1 Gui, Wen-sheng.................................... F E 2 . 4 Guo, Bin................................................ W P 2 . 1 Guo, Bing.............................................. W E 2 . 1 Guo, Bing W P 2 . 3 Guo, Jin................................................ F A 4 . 5 Guo, Jing.............................................. W A 2 . 1 Guo, Shuai............................................ T A 2 . 5 Guo, Shuman.......................................... F P 2 . 5 Guo, Shuxiang...................................... F A 4 . 5 Guo, Xu.................................................. T P 4 . 2 Guo, Xuemei.......................................... F E 2 . 5 Guo, Yanhong........................................ T E 3 . 3 Guo, Zhenhua........................................ F E 1 . 1

H Haacke, E. Mark.................................. T P 4 . 1 Haacke, E.mark.................................... T A 4 . 2 Haacke, E.mark T P 2 . 1 Han, Fangfang...................................... W P 4 . 4 Han, Guoqiang...................................... F A 3 . 3 Han, Jianda.......................................... F E 3 . 5 Han, Jianda T P 2 . 2 Han, Jianda T P 3 . 1 Han, Ling.............................................. F A 3 . 5 Hao, Liling.......................................... T A 4 . 4 Hao, Lina.............................................. F E 4 . 5 Hasegawa, Yasuhisa............................ F A 2 . 3 He, Bingwei.......................................... F E 4 . 2 He, Qing................................................ T A 2 . 1

He, Qing T A 2 . 4 He, Wei.................................................. T A 1 . 5 He, Yuanqin.......................................... T A 1 . 1 He, Yuqing............................................ T P 3 . 1 Hoseini Khasheh Heiran, Mostafa.. W E 3 . 4 Hu, Chao................................................ T A 2 . 1 Hu, Chao T P 2 . 4 Hu, Chao W A 4 . 3 Hu, Hongtao.......................................... W E 4 . 3 Hu, Xiangli.......................................... W E 4 . 2 Hu, Ying................................................ T A 3 . 1 Hu, Ying T A 3 . 2 Hu, Yu.................................................... T P 2 . 4 Hua, Lei................................................ W P 2 . 1 Huang, Jincai...................................... T A 1 . 2 Huang, Longxiang................................ F A 1 . 3 Huang, Qiang........................................ F A 3 . 4 Huang, Qiang W A 1 . 2 Huang, Qiang T P 3 . 6 Huang, Tao............................................ F E 1 . 2 Huang, Xinyang.................................... F A 1 . 1 Huang, Ying.......................................... T P 4 . 4 Huang, Zhichao.................................... F E 4 . 2 Huchard, Marianne.............................. W E 2 . 3

J Ji, Guangji.......................................... W P 3 . 4 Ji, Weijie............................................ T A 4 . 5 Jia, He-ming........................................ T P 1 . 2 Jia, Songmin........................................ T E 1 . 2 Jia, Songmin W A 1 . 4 Jia, Songmin W A 1 . 5 Jia, Songmin W E 2 . 1 Jia, Songmin W P 2 . 3 Jia, Yancheng...................................... W P 1 . 5 Jiang, Jun............................................ T A 2 . 2 Jiang, Mai............................................ T P 1 . 4 Jiang, Zhengqiao................................ W P 3 . 2 Jin, Bo.................................................. W A 2 . 3 Jin, Shikai.......................................... W P 4 . 3

K Kandwal, Krishen Kant...................... T E 3 . 5 Kang, Kai.............................................. F A 1 . 5 Kang, Shaobo........................................ W P 3 . 5 Kang, Yan.............................................. F P 4 . 4 Kang, Yan F P 4 . 5 Kang, Yan T A 4 . 2 Kang, Yan T A 4 . 5 Kang, Yan T P 2 . 1 Kang, Yan T P 4 . 1 Kang, Yan T P 4 . 5 Kang, Yan W A 4 . 5 Kang, Yan W E 4 . 1 Kang, Yan W E 4 . 4 Kang, Yan W E 4 . 5

2012 IEEE ICIA

A-3

Kang, Yan W P 4 . 2 Kang, Yan W P 4 . 5 Karambakhsh, Ahmad............................ WE3.4 Ke, Li.................................................... F P 4 . 5 Ke, Li W E 4 . 4 Khanna, Seema...................................... T E 3 . 4 Khanna, Seema T E 3 . 5 Kim, Yeoun-jae.................................... T P 4 . 6 Kong, Xin.............................................. F A 1 . 2

L Lan, Lin................................................ W E 3 . 3 Lee, Joon-yong.................................... T P 4 . 6 Lee, Ju-jang........................................ T P 4 . 6 Leylavi Shoushtari, Ali.................. T P 3 . 4 Li, Baopu.............................................. F P 3 . 2 Li, Baopu T A 2 . 1 Li, Baopu T A 2 . 4 Li, Baopu T E 4 . 3 Li, Baopu T E 4 . 4 Li, Baopu T P 2 . 4 Li, Bin.................................................. T A 2 . 5 Li, Chunsheng...................................... F A 3 . 5 Li, Gang................................................ T A 4 . 4 Li, Ge.................................................... F P 3 . 5 Li, Guixiang........................................ F A 4 . 3 Li, Hong................................................ W A 4 . 5 Li, Hong W P 4 . 2 Li, Hongyi............................................ F A 4 . 2 Li, Hui.................................................. F A 4 . 4 Li, Jiangtao........................................ F A 4 . 2 Li, Jiangyun........................................ W P 3 . 6 Li, Jianhua.......................................... F P 4 . 4 Li, Jianhua T P 4 . 5 Li, Jingrong........................................ T E 4 . 3 Li, Mo.................................................... F E 3 . 2 Li, Nan.................................................. F P 4 . 5 Li, Nan W E 4 . 4 Li, Shaobao.......................................... W E 1 . 5 Li, Shouguo.......................................... F E 4 . 1 Li, Shoutao.......................................... T P 1 . 3 Li, Weimin............................................ T A 1 . 4 Li, Weimin T E 1 . 3 Li, Weimin T E 1 . 4 Li, Weiping.......................................... F P 1 . 5 Li, Wenjun............................................ W P 4 . 3 Li, Wenye.............................................. T E 3 . 1 Li, Wenye T E 3 . 2 Li, Xianzhi.......................................... W A 3 . 3 Li, Xiaolei.......................................... T A 2 . 3 Li, Xiaoli............................................ F P 2 . 4 Li, Xiaoli W P 3 . 6 Li, Xiaoxiao........................................ W A 4 . 3 Li, Xiaoyun.......................................... F A 3 . 1 Li, Xiu-fang........................................ F P 1 . 3 Li, Xiuzhi............................................ T E 1 . 2 Li, Xiuzhi W A 1 . 4 Li, Xiuzhi W A 1 . 5

Li, Xiuzhi W E 2 . 1 Li, Xiuzhi W P 2 . 3 Li, Yangmin.......................................... T A 1 . 3 Li, Yanmin............................................ F A 4 . 3 Li, Yanping.......................................... F P 3 . 4 Li, Yanping T E 1 . 5 Li, Yanqin............................................ F E 4 . 2 Li, Ying................................................ W P 1 . 5 Li, Yong................................................ T A 3 . 5 Li, Yongxu............................................ F A 4 . 1 Li, Yuchen............................................ W E 2 . 1 Li, Yuchen W P 2 . 3 Li, Yue.................................................. W A 1 . 2 Li, Zhenzhen........................................ W A 1 . 1 Li, Zhi.................................................. W P 2 . 6 Li, Zhijun............................................ W P 2 . 2 Li, Zhouli............................................ W E 4 . 3 Lian, Feng-li...................................... W P 1 . 2 Liang, Bin............................................ F A 2 . 5 Liang, Jianing.................................... W P 2 . 5 Liang, Jihong...................................... T E 4 . 1 Liang, Wei............................................ T P 1 . 4 Liang, Wei T P 1 . 5 Liao, Jingsheng.................................. F P 3 . 2 Liao, Jingsheng T A 2 . 4 Liao, Jingsheng T E 4 . 3 Liao, Jingsheng T E 4 . 4 Li-ling, Jesse.................................... F E 2 . 2 Lin, Fengqin........................................ F E 3 . 1 Lin, Li.................................................. W A 4 . 4 Lin, Ling.............................................. T A 4 . 4 Lin, Rui................................................ W E 3 . 2 Lin, Xia................................................ W E 4 . 3 Lin, Yi-chun........................................ W P 1 . 2 Liu, Caixia.......................................... T P 4 . 4 Liu, Cong.............................................. F A 3 . 5 Liu, Furui............................................ W E 3 . 1 Liu, Guizhen........................................ W A 3 . 3 Liu, Guodong........................................ T P 2 . 3 Liu, Guohai.......................................... F E 1 . 3 Liu, Haijun.......................................... W A 2 . 1 Liu, Haiying........................................ T E 2 . 4 Liu, Hao................................................ F A 4 . 3 Liu, Houde............................................ F A 2 . 5 Liu, Huifen.......................................... T A 3 . 1 Liu, Huiyu............................................ F E 1 . 5 Liu, Jia................................................ T E 4 . 2 Liu, Jianzhuang.................................. F E 1 . 1 Liu, Keping.......................................... F E 3 . 3 Liu, Keping T P 1 . 1 Liu, Li.................................................. F A 1 . 1 Liu, Liqun............................................ F E 4 . 5 Liu, Weijun.......................................... T E 2 . 1 Liu, Xian.............................................. T A 2 . 4 Liu, Xiao.............................................. W P 1 . 1 Liu, Xiyan............................................ W E 3 . 1 Liu, Yan................................................ F E 3 . 1 Liu, Yong.............................................. W P 2 . 4 Liu, Yuanqi.......................................... F P 3 . 2 Liu, Yuncai.......................................... F A 1 . 3

2012 IEEE ICIA

A-4

Liu, Zhendong...................................... F E 1 . 4 Liu, Zhilin.......................................... W P 3 . 2 Liu, Zhiyan.......................................... W P 1 . 4 Liu, Zhong............................................ T A 1 . 2 Liu, Zhongqing.................................... F A 2 . 1 Liu, Zixi.............................................. W P 4 . 3 Lu, Dengke............................................ T E 1 . 4 Lu, Fei.................................................. W E 2 . 4 Lu, Weiwei............................................ T A 3 . 2 Lu, Yingqi............................................ W P 1 . 1 Lu, Zhiguo............................................ F A 2 . 3 Luan, Xin.............................................. F P 1 . 3 Luo, Xiaoyuan...................................... W E 1 . 5 Luo, Yang.............................................. F A 1 . 1 Luo, Yaohua.......................................... W P 3 . 5 Luo, Yu.......................................... W A 4 . 2 Lv, Jia.................................................. F P 1 . 1 Lv, Jingyuan........................................ F P 1 . 4 Lv, Shijia............................................ W P 3 . 5

M Ma, Biao................................................ F E 1 . 2 Ma, Shugen............................................ T A 2 . 5 Ma, Yongxue.......................................... T P 1 . 3 Martinez Palafox, Oscar.................. F P 2 . 1 Mehta, Vaibhav Kumar........................ F A 2 . 4 Meng, Max Q. -h................................. F P 3 . 2 Meng, Max Q. -h. T A 2 . 4 Meng, Max Q.-h.................................... T A 2 . 1 Meng, Max Q.-h T E 4 . 5 Meng, Max Q.-h T P 2 . 4 Meng, Max Q.-h T P 4 . 2 Meng, Max Q.-h................................... T E 2 . 2 Meng, Max Q.-h. T E 2 . 4 Meng, Max Q.-h. T E 4 . 4 Meng, Max Q.-h. T P 4 . 3 Meng, Xianyong.................................... T A 1 . 3 Meybodi, Mohammad Reza.................... WE3.4 Miao, Benshu........................................ W A 2 . 2 Miao, Houxiang.................................... W A 4 . 3 Miao, Lei.............................................. F A 4 . 2 Mo, Guan................................................ F P 4 . 2 Mo, Hongwei.......................................... W A 1 . 1 Mostafavi, Hojat................................ T P 2 . 6 Mu, Chundi............................................ F E 4 . 4

N Ni, Pingqiang...................................... T E 4 . 4 Nie, Lei................................................ F P 1 . 2

O Ossenblok, Pauly................................ T A 4 . 3 Ou, Yongsheng...................................... F A 3 . 1 Ou, Yongsheng T A 3 . 3

Ouyang, Liping.................................... T A 3 . 3 Oyang, Xinyu........................................ F P 3 . 5

P Pan, Hongqing...................................... F E 2 . 3 Pan, Liang............................................ F P 4 . 2 Pan, Xiaoguang.................................... W A 4 . 5 Pan, Xiaoguang W P 4 . 2 Pei, Xinglong...................................... T P 1 . 3 Peng, Ansi............................................ T A 3 . 3 Peng, Qinke.......................................... F P 1 . 1 Peng, Qinke F P 3 . 3 Peng, Songcheng.................................. W A 3 . 1

Q Qi, Buer................................................ W P 4 . 2 Qi, Juntong.......................................... T P 3 . 1 Qi, Shouliang...................................... T A 4 . 2 Qi, Shouliang T A 4 . 5 Qi, Shouliang T P 4 . 1 Qian, Huaxing...................................... T A 2 . 2 Qiao, Shidong...................................... T A 1 . 2 Qiu, Hongxing...................................... F P 1 . 5 Qiu, Li.................................................. W E 1 . 1 Qiu, Li W E 1 . 2

R Ren, Zhong............................................ T P 2 . 3 Ruan, Chuanyang.................................. T A 2 . 2

S Sadeghi, Mojtaba................................ T P 2 . 6 Salah, Mohamed Ben............................ T P 3 . 5 Sekiyama, Kosuke................................ F A 2 . 3 Shang, Wen............................................ T E 2 . 3 Shao, Hong............................................ F P 3 . 1 Shao, Hong T A 4 . 1 Shen, Fangzhou.................................... F E 4 . 3 Shen, Hongmin...................................... W A 1 . 4 Shen, Yanhua........................................ T P 4 . 3 Shen, Yanhua W A 4 . 1 Shen, Yanli.......................................... T E 4 . 1 Sheng, Weihua...................................... W P 2 . 4 Shi, Baofeng........................................ W A 2 . 5 Shi, Hongyu.......................................... W P 1 . 6 Shi, Lei................................................ W E 4 . 5 Shi, Ling.............................................. W E 1 . 3 Shi, Wei................................................ F E 3 . 4 Shi, Ye.................................................. F A 2 . 5 Shu, Zhenghua...................................... T P 2 . 3 Shuang, Feng........................................ F E 2 . 3 Si, Guanglei........................................ W P 4 . 5

2012 IEEE ICIA

A-5

Singh, Prashant Kumar...................... T E 3 . 5 Song, Da-lei........................................ F P 1 . 3 Song, Dan.............................................. T E 4 . 5 Song, Shuang........................................ W A 4 . 3 Song, Yue.............................................. F E 4 . 4 Song, Zhibin........................................ W P 2 . 5 Spong, Mark William.......................... F P 2 . 1 Su, Chun-yi.......................................... W P 2 . 6 Su, Weizhou.......................................... W E 1 . 4 Sun, Lining.......................................... W E 3 . 2 Sun, Rongchuan.................................... W E 3 . 2 Sun, Shenshen...................................... W E 4 . 2 Sun, Tianfang...................................... T P 1 . 1 Sun, Xin................................................ F E 2 . 3 Sun, Yan................................................ T E 3 . 1 Sun, Zaolin.......................................... W A 2 . 1 Sun, Zhiyong........................................ F E 4 . 5 Suo, Chunguang.................................... F E 2 . 4 Suo, Laichun........................................ F E 2 . 1

T Tang, Lixin.......................................... W A 3 . 2 Tang, Yandong...................................... W E 3 . 3 Tao, Lihua............................................ T P 1 . 3 Tao, Quan.............................................. T P 1 . 1 Tax, Chantal........................................ T A 4 . 3 Teng, Fei.............................................. W E 4 . 1 Ter Haar Romeny, Bart...................... T A 4 . 3 Tian, Guohui........................................ W E 2 . 4 Tian, Wei.............................................. F P 1 . 4 Tong, Chaonan...................................... F E 3 . 1

U Utriainen, David................................ T P 4 . 1

V Vilanova, Anna.................................... T A 4 . 3

W Wang, Benjin........................................ F A 4 . 2 Wang, Buyun.......................................... T A 3 . 4 Wang, Gang............................................ T A 2 . 4 Wang, Guoli.......................................... F E 2 . 5 Wang, Hao.............................................. T E 4 . 5 Wang, Hong............................................ F A 3 . 5 Wang, Hong-bin.................................... T P 1 . 2 Wang, Huaping...................................... F A 3 . 4 Wang, Ji................................................ F E 2 . 1 Wang, Jiandong.................................... T P 3 . 3 Wang, Juan............................................ W E 1 . 5 Wang, Kaiyu.......................................... W A 1 . 3 Wang, Ke................................................ W A 1 . 4

Wang, Ke W E 2 . 1 Wang, Ke W P 2 . 3 Wang, Kuanquan.................................... F E 3 . 2 Wang, Kuanquan F E 4 . 3 Wang, Liangrong.................................. W P 2 . 5 Wang, Lianqing.................................... F E 3 . 2 Wang, Lianqing F E 4 . 3 Wang, Lijia.......................................... W A 1 . 5 Wang, Lipeng........................................ F A 4 . 4 Wang, Liping........................................ F P 4 . 3 Wang, Lu................................................ T A 2 . 3 Wang, Lu T P 1 . 2 Wang, Minghui...................................... T A 2 . 5 Wang, Qiang.......................................... W P 1 . 3 Wang, Qing-peng.................................. F E 2 . 4 Wang, Shijia........................................ W P 3 . 4 Wang, Shuang........................................ W A 1 . 5 Wang, Shuguo........................................ W P 2 . 1 Wang, Shuhong...................................... T E 4 . 2 Wang, Shuhong W A 4 . 1 Wang, Ting............................................ W A 4 . 2 Wang, Wei.............................................. F A 2 . 2 Wang, Xiaohua...................................... W A 3 . 1 Wang, Xiaotong.................................... F A 1 . 4 Wang, Xiaoyan...................................... W P 3 . 1 Wang, Xin.............................................. W P 4 . 1 Wang, Xinmin........................................ W P 3 . 1 Wang, Xinran........................................ W E 2 . 4 Wang, Xueqian...................................... F A 2 . 5 Wang, Yan.............................................. W A 1 . 3 Wang, Yao.............................................. T A 4 . 1 Wang, Yijin.......................................... F E 2 . 2 Wang, Ying............................................ F P 1 . 1 Wang, Ying T P 2 . 1 Wang, Ying W A 4 . 5 Wang, Yu................................................ T A 3 . 5 Wang, Yubing........................................ F E 2 . 3 Wang, Yuechao...................................... T A 2 . 5 Wang, Yuechao W A 4 . 2 Wang, Zhenhua...................................... W E 3 . 2 Wang, Zhidong...................................... W A 4 . 2 Wang, Zhihong...................................... T A 3 . 4 Wang, Zhijie........................................ T P 3 . 5 Wang, Zhilei........................................ F P 2 . 4 Wang, Zhiqiong.................................... W P 4 . 3 Wang, Zhufei........................................ F E 2 . 2 Wang, Zi................................................ T E 3 . 1 Wei, Ning.............................................. T A 2 . 1 Wei, Ran................................................ T A 3 . 4 Wen, Zixia............................................ F P 2 . 2 Wen, Zixia F P 2 . 3 Wu, Liying............................................ W A 1 . 2 Wu, Siyu................................................ T P 4 . 4 Wu, Xinyu.............................................. F A 1 . 2 Wu, Xinyu F A 3 . 1 Wu, Yebin.............................................. W A 1 . 3 Wu, Zhongqiang.................................... W A 3 . 1 Wu, Zhongwei........................................ F E 3 . 3

X

2012 IEEE ICIA

A-6

Xi, Bao.................................................. W P 1 . 4 Xia, Guihua.......................................... W A 1 . 3 Xia, Junying........................................ T P 3 . 2 Xia, Renbo............................................ T E 2 . 1 Xiao, Dayu............................................ W E 4 . 1 Xiao, Nan.............................................. F A 4 . 5 Xiao, Xufeng........................................ F A 4 . 5 Xie, Qing.............................................. T P 2 . 3 Xie, Wei................................................ F A 1 . 2 Xie, Weichao........................................ W P 4 . 6 Xie, Xie................................................ F P 3 . 4 Xie, Xie T E 1 . 5 Xiong, Anbin........................................ F E 3 . 5 Xiong, Guogang.................................... F A 3 . 1 Xiong, Jiulong.................................... T P 3 . 2 Xu, Baoxun............................................ F P 1 . 2 Xu, Dezhang.......................................... T A 3 . 4 Xu, Guoqing.......................................... T A 1 . 4 Xu, Guoqing T E 1 . 3 Xu, Guoqing T E 1 . 4 Xu, Guoqing W P 2 . 5 Xu, Kun.................................................. T A 1 . 4 Xu, Kun W P 2 . 5 Xu, Lisheng.......................................... F A 4 . 1 Xu, Lisheng F P 4 . 3 Xu, Lisheng T E 4 . 2 Xu, Lisheng T E 4 . 5 Xu, Lisheng T P 4 . 2 Xu, Lisheng T P 4 . 3 Xu, Lisheng W A 4 . 1 Xu, Lisheng W A 4 . 4 Xu, Ming................................................ W A 2 . 3 Xu, Mingjie.......................................... T P 4 . 5 Xu, Qian............................................... T P 3 . 6 Xu, Shaowen.......................................... T P 2 . 5 Xu, Tao.................................................. F P 1 . 1 Xu, Wei.................................................. F A 3 . 4 Xu, Wei F A 3 . 4 Xu, Wei F A 3 . 4 Xu, Wenfu.............................................. F A 2 . 5 Xu, Xiaoquan........................................ T P 3 . 2 Xu, Xin.................................................. W A 2 . 1 Xue, Bing.............................................. F P 1 . 3

Y Yan, Jie................................................ F A 4 . 3 Yan, Jihong.......................................... W E 2 . 5 Yan, Jun................................................ T E 1 . 2 Yan, Li.................................................. T E 4 . 2 Yan, Li W A 4 . 1 Yan, Qin................................................ T E 2 . 3 Yan, Tao................................................ T P 2 . 5 Yan, Tingfang...................................... T E 2 . 2 Yan, Tingfang T E 2 . 4 Yang, Chang.......................................... F E 4 . 1 Yang, Cong............................................ F P 4 . 2 Yang, Cong W E 3 . 3

Yang, Feifei........................................ T P 4 . 2 Yang, Feifei T P 4 . 3 Yang, Guoyan........................................ T E 3 . 3 Yang, Jinzhu........................................ W P 4 . 4 Yang, Min.............................................. F E 3 . 3 Yang, Qinghua...................................... T P 4 . 4 Yang, Shu.............................................. F A 4 . 5 Yang, Shu F A 4 . 5 Yang, Tianyu........................................ T A 2 . 1 Yang, Yuebin........................................ F E 2 . 5 Yang, Zijiang...................................... T P 3 . 3 Yao, Chen.............................................. W A 4 . 2 Yao, Chen W A 4 . 2 Yao, Chen W A 4 . 2 Yao, Congchao...................................... W P 3 . 1 Yasin,Awais......................................... T P 3 . 6 Ye, Yunming.......................................... F P 1 . 2 Yin, Baolin.......................................... W A 3 . 3 Yin, Sainan.......................................... T E 4 . 2 Yin, Sainan T P 4 . 2 Yin, Yixin............................................ F P 2 . 4 Yousefi Azar Khanian, Mahdi.......... W E 3 . 4 Yu, Bin.................................................. F A 4 . 1 Yu, Fang-jie........................................ F P 1 . 3 Yu, Haibin............................................ T P 1 . 5 Yu, Hongqi............................................ W A 2 . 1 Yu, Ruiting.......................................... T P 1 . 6 Yu, Ruiting W P 3 . 2 Yu, Suyang............................................ W A 4 . 2 Yu, Yan.................................................. F E 1 . 2 Yu, Ying................................................ W A 3 . 3 Yu, Yongtao.......................................... F P 2 . 2 Yu, Yongtao F P 2 . 3 Yu, Yongtao W A 1 . 3 Yu, Yuanlong........................................ T E 2 . 5 Yu, Zhangguo........................................ F A 3 . 4 Yuan, Xiao-hua.................................... F A 3 . 2 Yuan, Ye................................................ W E 1 . 3 Yuan, Yongfeng.................................... F E 3 . 2 Yuan, Yongfeng F E 4 . 3 Yuan, Yongfeng W P 1 . 4

Z Zapata, René........................................ W E 2 . 3 Zeng, Bowen.......................................... T P 1 . 6 Zeng, Dewen.......................................... T P 2 . 4 Zeng, Lvming........................................ T P 2 . 3 Zeng, Yi................................................ T A 3 . 2 Zhai, Shuang........................................ W P 3 . 4 Zhang, Baochang.................................. F E 1 . 1 Zhang, Daohui...................................... F E 3 . 5 Zhang, David W.................................... T E 2 . 2 Zhang, David W................................... T E 2 . 4 Zhang, David W. T E 2 . 5 Zhang, Dongrui.................................... W A 4 . 4 Zhang, Du.............................................. W P 1 . 1 Zhang, Fuhai........................................ W P 2 . 1 Zhang, Gangguo.................................... F A 3 . 2

2012 IEEE ICIA

A-7

Zhang, Hao............................................ T E 1 . 3 Zhang, Hong.......................................... T P 3 . 5 Zhang, Huaxi (yulin)........................ W E 2 . 3 Zhang, Jianpei.................................... W E 3 . 5 Zhang, Jianwei.................................... T A 3 . 1 Zhang, Jianwei T A 3 . 2 Zhang, Jing.......................................... F P 3 . 3 Zhang, Jingshu.................................... F E 2 . 2 Zhang, Jingshu T A 4 . 5 Zhang, Jinhui...................................... W P 3 . 6 Zhang, Jun............................................ T A 3 . 2 Zhang, Lei............................................ W E 2 . 3 Zhang, Liancun.................................... W A 1 . 2 Zhang, Li-jun...................................... T P 1 . 2 Zhang, Linghua.................................... W P 4 . 6 Zhang, Ruyi.......................................... F P 3 . 2 Zhang, Ruyi T E 4 . 4 Zhang, Si.............................................. F A 3 . 4 Zhang, Tong.......................................... F P 2 . 5 Zhang, Tong W P 3 . 4 Zhang, Wan............................................ T A 3 . 4 Zhang, Wei............................................ W E 2 . 2 Zhang, Weimin...................................... W A 1 . 2 Zhang, Weimin...................................... F A 3 . 4 Zhang, Weimin T P 3 . 6 Zhang, Wen............................................ F P 2 . 2 Zhang, Wen F P 2 . 3 Zhang, Wen-bin.................................... F E 2 . 4 Zhang, Wenbo........................................ T P 1 . 3 Zhang, Xiaolei.................................... W A 3 . 2 Zhang, Xiaoling.................................. T P 1 . 4 Zhang, Xiaoling T P 1 . 5 Zhang, Xibin........................................ T P 4 . 2 Zhang, Xibin T P 4 . 3 Zhang, Yanyan...................................... W A 3 . 2 Zhang, Yaonan...................................... F A 1 . 4 Zhang, Yaonan F P 4 . 1 Zhang, Ying-feng................................ F E 1 . 2 Zhang, Zheng........................................ T P 4 . 5 Zhang, Zhi............................................ F A 4 . 4 Zhang, Zhi F P 2 . 2 Zhang, Zhi F P 2 . 3 Zhao, Dazhe.......................................... W P 4 . 4 Zhao, Hong............................................ T P 2 . 1 Zhao, Hong W A 4 . 5 Zhao, Hong W P 4 . 4 Zhao, Jibin.......................................... T E 2 . 1 Zhao, Jie.............................................. F A 2 . 1 Zhao, Jie F P 3 . 5 Zhao, Jie W E 2 . 5 Zhao, Longchao.................................... F A 2 . 2 Zhao, Mingsheng.................................. W A 2 . 2 Zhao, Xiaowen...................................... T P 4 . 4 Zhao, Xingang...................................... F E 3 . 5 Zhao, Xingang T P 2 . 2 Zhao, Yong............................................ T E 4 . 2 Zhao, Yue.............................................. T E 4 . 1 Zhao, Zhen............................................ T A 1 . 5 Zheng, Fang.......................................... W E 2 . 3 Zheng, Hui............................................ F A 3 . 2

Zheng, Jianying.................................. W E 1 . 1 Zheng, Nan............................................ W P 3 . 6 Zheng, Yongyue.................................... F P 3 . 4 Zheng, Yongyue T E 1 . 5 Zheng, Zeguang.................................... F A 4 . 2 Zhi, Di.................................................. W A 4 . 2 Zhong, Jun............................................ T E 2 . 3 Zhong, Yi.............................................. T A 4 . 2 Zhong, Yi T P 4 . 1 Zhong, Yue............................................ F P 4 . 3 Zhong, Yue W A 4 . 1 Zhou, Hong-hong.................................. F P 1 . 3 Zhou, Meilan........................................ T E 1 . 3 Zhou, Meilan T E 1 . 4 Zhou, Su................................................ W P 3 . 4 Zhou, Weili.......................................... T E 4 . 3 Zhou, Xiaolei...................................... W A 3 . 4 Zhou, Zi-wei........................................ F P 3 . 5 Zhu, Daming.......................................... F E 1 . 4 Zhu, Guangying.................................... T A 1 . 2 Zhu, Qidan............................................ F A 4 . 4 Zhu, Qidan F P 2 . 2 Zhu, Qidan F P 2 . 3 Zhu, Qidan T P 1 . 6 Zhu, Qidan W A 1 . 3 Zhu, Qidan W P 3 . 2 Zhu, Qingyuan...................................... T A 1 . 1 Zhu, Wenjie.......................................... W P 1 . 3 Zhu, Yanhe............................................ F A 2 . 1 Zhu, Zhiqiang...................................... T P 3 . 1 Zhuang, Xuekun.................................... F E 2 . 3 Zong, Ping............................................ W P 1 . 1 Zou, Yuexian........................................ F E 3 . 4

IEEE ICIA & ISBE 2012 Program at a Glance

Tuesday, June 5, 2012 14:00-‐20:00 Registration at Sheraton Hotel

Wednesday, June 6, 2012

09:00-‐10:00 Plenary Lecture I, Lian Hall, 2nd Floor, Chair: Tianyou Chai

The role of theory in control practice Prof. Manfred Morari, ETHZ, Switzerland

10:00-‐10:20 Tea and Coffee Break

10:20-‐12:00 Session WA1 Zhu Hall, 2nd Floor

Session WA2 Ballroom 3, 2nd Floor

Session WA3 Ballroom 2, 2nd Floor

Session WA4 (ISBE) Lian Hall, 2nd Floor

12:00-‐14:00 Lunch Break (Ballroom 1, 2nd Floor, ticket required)

14:00-‐16:00 Session WP1 Zhu Hall, 2nd Floor

Session WP2 Ballroom 3, 2nd Floor

Session WP3 Ballroom 2, 2nd Floor

Session WP4 (ISBE) Lian Hall, 2nd Floor


16:20-‐18:00 Session WE1 Zhu Hall, 2nd Floor

Session WE2 Ballroom 3, 2nd Floor

Session WE3 Ballroom 2, 2nd Floor

Session WE4 (ISBE) Lian Hall, 2nd Floor

18:30-‐20:00 Welcome Reception (Ballroom 1, 2nd Floor, ticket required)

Thursday, June 7, 2012

09:00-‐10:00 Plenary Lecture II, Lian Hall, 2nd Floor, Chair: T.-‐J. Tarn

Nonprehensile Robotic Manipulation Prof. Kevin Lynch, Northwestern University, USA


10:20-‐12:00 Session TA1 Kunlun Hall, 3rd Floor

Session TA2 Meeting Room, 26F

Session TA3 Zhu Hall, 2nd Floor

Session TA4 (ISBE) Lian Hall, 2nd Floor

12:00-‐14:00 Lunch Break (Chinese Restaurant, 3rd Floor, ticket required)

14:00-‐16:00 Session TP1 Kunlun Hall, 3rd Floor

Session TP2 Meeting Room, 26F

Session TP3 Zhu Hall, 2nd Floor

Session TP4 (ISBE) Lian Hall, 2nd Floor


16:20-‐18:00 Session TE1 Kunlun Hall, 3rd Floor

Session TE2 Meeting Room, 26F

Session TE3 Zhu Hall, 2nd Floor

Session TE4 (ISBE) Lian Hall, 2nd Floor

18:30-‐21:00 Award Banquet with Performance (Lido Ballroom 1, 3rd Floor, ticket required)

Friday, June 8, 2012

09:00-‐10:00 Plenary Lecture III, Lian Hall, 2nd Floor, Chair: Yan Kang

Vision for Vision Prof. Bart ter Haar Romeny, Eindhoven University of Technology, The Netherlands


10:20-‐12:00 Session FA1 Zhu Hall, 2nd Floor

Session FA2 Ballroom 3, 2nd Floor

Session FA3 Ballroom 2, 2nd Floor

Session FA4 (ISBE) Lian Hall, 2nd Floor

12:00-‐14:00 Lunch Break (Ballroom 1, 2nd Floor, ticket required)

14:00-‐15:40 Session FP1 Zhu Hall, 2nd Floor

Session FP2 Ballroom 3, 2nd Floor

Session FP3 Ballroom 2, 2nd Floor

Session FP4 (ISBE) Lian Hall, 2nd Floor


16:00-‐17:40 Session FE1 Zhu Hall, 2nd Floor

Session FE2 Ballroom 3, 2nd Floor

Session FE3 Ballroom 2, 2nd Floor

Session FE4 (ISBE) Lian Hall, 2nd Floor

18:00-‐20:00 Farewell Party (Ballroom 1, 2nd Floor, ticket required)

Saturday, June 9, 2012 09:00-‐12:00 Shenyang Local Tour (Pre-‐registration at the Conference Registration Desk Required)

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