conference digest - webdocs cs ualberta - university of alberta

2009 IEEE International Conference on

Information and Automation

(ICIA 2009)

Conference Digest

June 22-25, 2009

Zhuhai/Macau, China

Sponsored by

IEEE Robotics and Automation Society (RAS)

IEEE Systems, Man, and Cybernetics Society

South China University of Technology

University of Macau

ICIA 2009 PROCEEDINGS

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ii

Welcome Message

On behalf of the IEEE ICIA 2009 Conference Organizing Committee, we would like toextend a warm welcome to you all to the 2009 IEEE International Conference on Informationand Automation. ICIA is still a young, but vibrant and growing international conference –running annually since 2004 and gaining increasing international prominence. Its scope hasbeen broadened to emphasize the importance of information to automation research. Weare pleased to bring you the 2009 conference as a forum that facilitates timely and effectiveacademic and scientific exchanges among researchers in a wide range of research yields ininformation science and automation engineering.

A record 681 valid submissions were made to this year’s conference, from 21 countries orregions, 82 of which come from outside mainland China. After a thorough review process,298 or about 43% of the submitted papers were accepted into ICIA 2009’s technical program,which runs from three days on June 22, 23, and 24, 2009 in six parallel tracks. In addition,We are pleased to complement the technical program with a one-day workshop in Macau onJune 25, and three plenary talks by world renowned researchers of our field.

The host city of ICIA 2009 conference program, Zhuhai, is a beautiful coastal city in SouthChina, with a nickname of City of a Hundred Islands. The host city of the post-conferenceworkshop and activity is Macau, known as “Vegas of the East”. Zhuhai and Macau areconnected together, which is convenient for the conference participants to transfer. Theynot only provide the attendees with a great venue for this event, but also an unparallelexperience in visiting the beautiful resort in South China. We are very glad that you arejoining us at ICIA 2009 in Zhuhai/Macau to live this exciting experience.

ICIA 2009 has been the effort of several sponsoring societies and organizations, manyindividuals including our colleagues, volunteers and friends. We would like to take this op-portunity to express our gratitude for their help and contributions.The Program Committeemembers worked very hard to give their thorough review of all the submitted papers, whichis vital to the success of this conference;the members of the organizing committee dedicatedsignificantly their time toward ensuring the success of the conference.The financial assis-tance of the South China University of Technology and University of Alberta is gratefullyacknowledged.Last but not least, we would like to thank all the authors for their supportand participation in making this conference a success.This is your conference to be enjoyedand celebrated. We wish you a great conference and pleasant stay in Zhuhai/Macau!

General Chairs Program Chair

Hong Zhang, University of Alberta, CanadaJames Mills, University of Toronto, Canada Yangmin Li, University of Macau, China

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Table of Contents

Welcome Message ii

Advisory Board vi

Organizing Committee vii

Program Committee ix

Conference Information x

Program Schedule xiv

Plenary I: Alex Zelinsky xviii

Plenary II: Max Meng xix

Plenary III: Kok-Meng Lee xx

Technical Sessions: Monday, June 22 1

Technical Sessions: Tuesday, June 23 27

Technical Sessions: Wednesday, June 24 47

Workshops: Thursday, June 25 (Macau) 67

Author Index 73

2009 IEEE International Conference onInformation and Automation

Honorary Chair

Yuanyuan Li

South China University of Technology, China

Advisory Board

Tzyh-Jong TarnWashington University, USA

Toshio FukudaNagoya University, Japan

Shigeo HiroseTokyo Institute of Technology, Japan

Tianyou ChaiNortheast University, China

William GruverSimon Fraser University, Canada

Min ZhuSouth China University of Technology, China

Rui MartinsUniversity of Macau, China

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Organizing Committee of ICIA 2009

General ChairsHong Zhang, University of Alberta, Canada

James Mills, University of Toronto, Canada

General Co-ChairsKazuo Kosuge, Tohoku University, Japan

Xianmin Zhang, South China University of Technology, China

Kai Meng Mok, University of Macau, China

Program ChairYangmin Li, University of Macau, China

Program Co-ChairsYisheng Guan, South China University of Technology, China

Hugh Liu, University of Toronto, Canada

Abderrahmane Kheddar, CNRS, France

Edward Tunstel, Johns Hopkins University-APL, USA

Publication ChairsZhidong Wang, Chiba Institute of Technology, Japan

Lizhen Wang, Yunnan University, China

Awards ChairsYunhui Liu, Chinese University of Hong Kong, China

Dong Sun, City University of Hong Kong, China

Sam S. Ge, National University of Singapore, Singapore

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Workshop ChairsNing Xi, Michigan State University, USA

Nilanjan Ray, University of Alberta, Canada

Youfu Li, City University of Hong Kong, China

Local Arrangement ChairsFengcong Lan, South China University of Technology, China

Danping Wang, South China University of Technology, China

Zhong Chen, South China University of Technology, China

Mang I Vai, University of Macau, China

Feng Wan, University of Macau, China

Finance ChairsMelanie Calvert, University of Alberta, Canada

Sun Wei, South China University of Technology, China

Hongxia, Yang, South China University of Technology, China

Program Committee

Bi, Shusheng

Bi, Zhuming

Chen, Xin

Chen, Weihai

Chen, Weidong

Chen, Chun-Ta

Chen, Yongsheng

Dailey, Matthew

Damaren, Chris

Ding, Xilun

Gu, Jason

Duan, Haibin

Fang, Yongchun

Fatikow, Sergej

Feng, Gary

Fiorini, Paolo

Fung, Wai-Keung

Gao, Xueshan

Ge, Sam

Gong, Zhiguo

Gu, Jason

Guan, Yisheng

Guo, Shuxiang

Guo, Yi

Hashimoto, Minoru

Hou, Zhenguang

Hu, Chao

Hu, Huosheng

Hu, Jwu-Sheng

Huang, Qingjiu

Huang, Yalou

Ji, Ping

Kheddar, Abderrahmane

Lee, Jang Myung

Li, Bin

Li, Bing

Li, Howard

Li, Jiangang

Li, Xiaoshan

Li, Yangmin

Li, Youfu

Li, Yunhua

Lian, Feng-Li

Liao, Wei-Hsin

Liu, Dikai

Liu, Guangyu

Liu, Hugh

Liu, Jinguo

Liu, Yugang

Liu, Yunhui

Lou, Yunjiang

Lu, Tien-Fu

Ma, Shugen

Mei, Tao

Meng, Yan

Mills, James K.

Ouezdou, Fathi Ben

Ouyang, Puren

Park, Jong

Perez, Ruben

Sakka, Sophie

Shan, Jinjun

Shen, Yantao

Sheng, Weihua

Shi, Jichuan

Stasse, Olivier

Su, Chunyi

Sun, Dong

Tan, Min

Tan, Jindong

Tsai, Ching-Chih

Vai, Ming-I

Wan, Feng

Wang, Zhidong

Wang, Huiyuan

Wang, Guoli

Wang, Xin

Wang Yu

Wang, Lizhen

Wong, Pak-Kin

Wu, Changhua

Wu, Xiaojun

Wu, Xiaofeng

Xiao, Jizhong

Xie, Ming

Xin, Ming

Xu, Qingsong

Yan, Shaoze

Yang, Guilin

Ye, Cang

Ying, Xianghua

Yu, Shui

Yu, Yong

Yuan, Jianjun

Yuan, Xiaobu

Yun, Chao

Zhang, Dan

Zhang, Hong

Zhang, Tiemin

Zhang, Xianmin

Zhang, Yongde

Zhang, Youmin

Zhang, Yunong

Zhao, Xin

Zhao, Xinhua

Zhao, Zhijun

Zheng, Yuan Fang

Zhou, Yu

Zhu, Chi

Zhu, George

Zhu, Jianguo

Zhu, Xiangyang

Zhu, Xiaorui

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Conference Information

Conference Registration

The conference registration desk, located in the grand lobby on the first floor of Zhuhai Dehan Hotel, willbe open according to the schedule below for on-site registration as well as for the pre-registration attendeesto pick up their registration package.

Day Sunday, June 21 Monday, June 22 Tuesday, June 23 Wednesday, June 24

Time 12:00 - 20:00 08:30 - 17:00 09:00 - 17:00 09:00 - 12:00

Four-day Conference Schedule

The conference technical sessions and social functions cover a four-day period, Jun 22-25, from Mondayto Thursday. The overall schedule is shown in the table below. Three plenary talks will be given in RoomGuohui on the 5th floor, as shown in Figure 1. The technical sessions will be held in rooms Guoxing, Guoyun,Guoxiang, Guoxcui, Guose, Guosheng and Guowang, respectively, all on the 4th floor, as shown in Figure2. A more detailed schedule is shown in the table of Program Schedule on page xiii.

ICIA09 will organize a half-day workshops in Macau on June 25. Buses will leave at 10:00 from Dehan Hotelfor Macau, and bring people back to Dehan Hotel around 5:30. It is the participants’ obligation to get theirvisas to access Macau.

Workshop I (on robotics) will be held at Auditorium STDM, International Library of University of Macau.Workshop II (on mechatronics) will be held at Auditorium II, International Library of University of Macau.Lunch will be provided in Library Cafe (Lord Stow’s Bakery), located on the 2nd Lower Ground Floor ofthe Library.

Time/Day Monday, June 22 Tuesday, June 23 Wednesday, June 24 June 25

Morning Plenary I Plenary II Plenary III (to Macau)Technical Sessions (M1) Technical Sessions (T1) Technical Sessions (W1)

Afternoon Technical Sessions (M2) Technical Sessions (T2) Technical Sessions (W2) WorkshopsTechnical Sessions (M3) Technical Sessions (T3) Technical Sessions (W3)

Evening Welcome Dinner Awards Banquet Farewell Reception

Audio-Visual Equipment

There will be a data projector, a pointer, a microphone and a computer available in all rooms. Anythingelse required must be requested by the authors.

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Email Facilities

Wired and wireless Internet access will be available in the session rooms on the 4th floor (see Figure 2), June22-24 from 09:00-18:00.

Transportation

By plane and bus/boat:

The host city Zhuhai may be reached by first fly to one of five airports: Zhuhai Airport, Hong KongInternational Airport, Macau International Airport, Guangzhou International Airport, and Shenzhen Inter-national Airport. Zhuhai Airport serves mostly domestic routes, and is one hour from the city of Zhuhai byshuttle bus. It takes about 15 minutes to reach the hotel from shuttle bus stop.

From Hong Kong International Airport, there is a direct ferry (SkyPier) to Zhuhai Jiuzhou Port in 70minutes, which is five minutes by taxi from the hotel. However there are only three service runs a day.

From Macau International Airport, there is an Express Link service, which bypasses the Macau immigra-tion and customs and takes you directly to Zhuhai border (Gongbei) with mainland China. From Gongbeionce you exit the immigration building, it is 15 minutes by taxi to the conference hotel.

Bus services to Zhuhai are available from Shenzhen International Airport and Guangzhou InternationalAirport, a ride of about two and a half hours for about 90 RMB. Please ask the bus driver where to get offto reach Zhuhai Dehan Hotel. It is usually another 10 to 15 minutes by taxi to reach the hotel.

By train and bus:

You can choose to take a train to Guangzhou or Shenzhen first, from another Chinese city. Then thereare numerous buses from Guangzhou or Shenzhen to Zhuhai, departing from various parts of the city. Thereis no direct train to Zhuhai at this time.

Taxi is one of the convenient transportation tools in Zhuhai, it can be gotten anywhere in the city. Theprice is 2.4 RMB/km, with a starting fee of RMB 10 (RMB 13 after 12:00 PM).

Lunches

Buffet lunches will be provided to all registered ICIA09 participants, on June 22, 23, and 24, servedat Kaiser Western Restaurants on the second floor of conference Hotel. Additional lunch tickets can bepurchased for $20 or 160 RMB per ticket at the ICIA09 Registration Desk.

Social and Cultural Functions

Welcome Dinner will be held on June 22 out of the conference hotel, at De Yue Fang at 18:30. Busesleave Dehan Hotel at 17:30 to transport conference delegates to the restaurant, and bring people back toDehan Hotel around 20:30. A limited number of extra dinner tickets are available to spouses and friends ofregistered delegates at the cost of $50 or 400 RMB per ticket.

Awards Banquet will be held in the Room Guoyan on floor 5 at Dehan Hotel on June 23 at 18:30. Banquettickets are issued to registered delegates. In addition, a limited number of extra banquet tickets are availableto spouses and friends of the registered delegates at $50 or 400 RMB per ticket.

Farewell Reception will take place on June 24 at 17:30 in the Imperial Dining Palace on the 2nd floor ofDehan Hotel. All delegates are invited to the reception, but the dinner portion of the evening is left to thedelegates to explore Zhuhai on their own. Information about the city is available at the hotel as well as theregistration desk.

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Dehan Hotel Conference Levels

Guoyan

Guohui

Figure 1: Plenary talk I will be given in Guohui Room, and the conference award banquet will be held inGuoyan Room, both on the 5th floor.

Guocui

Guowang Guoxing

Guoyun

Guose Guoxiang

Guosheng

Figure 2: Tracks 1 through 7 parallel technical sessions will be held in rooms Guoxing, Guoyun, Guoxiang,Guoxcui, Guose, Guosheng and Guowang, respectively, all on the 4th floor. Plenary talks II and III will begiven in Guoxing Room.

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Program Schedule

Monday, June 2108:30 - 09:00 Opening Ceremony – Room Guohui09:00 - 10:00 Plenary I (by Alex Zelinsky) – Room Guohui10:00 - 10:20 Coffee/Tea Break10:20 - 12:00 M1-1 M1-2 M1-3 M1-4 M1-5 M1-6

AutomationI

Control Ap-plications I

HumanoidRobots

Networks & Com-munications I

ComputerVision I

InformationAcquisition I

12:00 - 13:30 Lunch Break13:30 - 15:10 M2-1 M2-2 M2-3 M2-4 M2-5 M2-6

AutomationII

Control Ap-plications II

ParallelRobots I

Networks & Com-munications II

ComputerVision II

InformationAcquisition II

15:10 - 15:30 Coffee/Tea Break15:30 - 17:10 M3-1 M3-2 M3-3 M3-4 M3-5 M3-6

AutomationIII

Control Ap-plications III

ServiceRobots

Networks & Com-munications III

ComputerVision III

Informationand SignalProcessing I

10:20 - 17:10 M1-7, M2-7, M3-7: Poster Session I, II, III – Room Guowang18:30 - 20:30 Welcome Dinner (at De Yue Fang)

Tuesday, June 2309:00 - 10:00 Plenary II (by Max Meng) – Room Guohui10:00 - 10:20 Coffee/Tea Break10:20 - 12:00 T1-1 T1-2 T1-3 T1-4 T1-5 T1-6

AutomationIV

Control Ap-plications IV

MobileRobots I

MechatronicSystems I

ComputerVision IV

Informationand SignalProcessing II

12:00 - 13:30 Lunch Break13:30 - 15:10 T2-1 T2-2 T2-3 T2-4 T2-5 T2-6

AutomationV

Control Ap-plications V

MobileRobots II

MechatronicSystems II

Sensors I Informationand SignalProcessing III

15:10 - 15:30 Coffee/Tea Break15:30 - 17:30 T3-1 T3-2 T3-3 T3-4 T3-5 T3-6

AutomationVI

Control Ap-plications VI

MobileRobots III

Pattern Recogni-tion I

Sensors II Informationand SignalProcessing IV

18:30 - 20:30 Awards Banquet (at Dehan Hotel)

Wednesday, June2409:00 - 10:00 Plenary III (by Kok-Meng Lee) – Room Guohui10:00 - 10:20 Coffee/Tea Break10:20 - 12:00 W1-1 W1-2 W1-3 W1-4 W1-5 W1-6

IntelligentControl I

IntelligentSystems I

MobileRobots IV

Pattern Recogni-tion II

Sensors III Informationand SignalProcessing V

12:00 - 13:30 Lunch Break13:30 - 15:10 W2-1 W2-2 W2-3 W2-4 W2-5 W2-6

IntelligentControlII

IntelligentSystems II

ParallelRobots II

Pattern Recogni-tion III

Sensors IV Informationand SignalProcessing VI

15:10 - 15:30 Coffee/Tea Break15:30 - 17:30 W3-1 W3-2 W3-3 W3-4 W3-5 W3-6

CAD/CAMI

IntelligentSystems III

Bio-Robots

Mechanisms Human RobotInteraction

CAD/CAM II

17:30 - 19:00 Farewell Reception

Session Room Guoxing Guoyun Guoxiang Guocui Guose Guosheng

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Local Guide to Zhuhai and Macau

The host cities of the conference are located at the central-south side of Guangdong Province, China, atthe entrance of Pearl River (Zhu Jiang) to the Pacific Ocean, as shown in the following picture.

Zhuhai

Macau

Shenzhen

Hong Kong

Guangzhou

Figure 3: Location of Zhuhai and Macau in Guangdong Province

Zhuhai

ICIA 2009 will be held in Zhuhai, a beautiful coastal city in South China. Located at the southern tipof the Pearl River Delta of Guangdong Province, Zhuhai is one of the five special economic zones in China.It faces Hong Kong in the east across the sea and joins Macau in the south. Also, it is close to many othercities in Guangdong Province.

Standing on the west bank of the estuary of the Pearl River to the South China Sea, Zhuhai is a garden-like coastal city with 146 charming islands (and hence known as a City of a Hundred Islands). With itsamazing large green area, the city is a modern ecotypic resort. The beautiful Jingshan Road and QingluRoad (Lovers’ Road) add romantic atmosphere to Zhuhai. In 1990s, Zhuhai City as a whole was selected asone of the top 40 tourist attractions in China. And in 1998, it won the Dubai International Award for BestPractices to Improve the Living Environment. Since then, Zhuhai has become known to the world as a mostsuitable place for human living.

Actually, people have lived there since the Neolithic Age four or five thousand years ago. A governmentadministrative department was set up in the area in the Qin Dynasty (221 - 206 B.C.). During the followingcenturies, the area underwent slow but steady development. In 1953, Zhuhai County was set up there,upgraded to Zhuhai City in 1979. In 1980, a special economic zone was established in Zhuhai. Today, thecity has under its jurisdiction three districts, namely, Xiangzhou, Doumen, and Jinwan.

In recent years, Zhuhai has made progress in economic development owning to its advantageous geo-graphical location near Hong Kong and Macau, its ports with excellent conditions, its overseas Chinesecontributions, and especially the policy of reform and opening up. Foreign investment, advanced technolo-gies and management methods stimulated the economic boom of Zhuhai. As a result, the transportationand accommodations improved. Diversified transportation links provide a wide range of ways to get thereor to travel inside the city. A variety of star rated hotels offer convenience and enjoyment.

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The superior advancement in economy promotes the development of tourism of Zhuhai. The moderateclimate of Zhuhai makes it an ideal tourist destination all year round. It has many attractions worthy ofvisiting, including the Zhuhai Fisher Girl Statue, New Yuanmingyuan Garden, Pearl Land Amusement Park,Jiuzhou City, Meixi Royal Stone Archways, Huangyang Mountain and Baiteng Lake. Additionally, variousappealing islands are recommended such as Dong’ao Island, Gaolan Island, Qi’ao Island and Hebao Islandand so on.

Zhuhai is also famous for its hot springs and golf clubs where you can take a break from sightseeing. Theconsummate tourist reception and service system offers many choices of entertainment as well. Dining andshopping are also pleasant. Western and oriental cultures collide and combine here: an open, colorful, andromantic Zhuhai awaits you.

Dehan Hotel(The Conference Venue)

Macau

Zhuhai

Figure 4: A map of part of Zhuhai

Figure 5: Zhuhai Dehan Hotel (the conference venue)

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Macau

The name of Macau is derived from the word Magao. It was said that in the middle of 16th centurywhen the Portuguese first set foot there, one of the officers asked a fisherman the name of the land. The manmisunderstanding the officer’s meaning, answered ‘Magao’ - the name of A-Ma Temple in front them. Theword became the Portuguese name for the land and for nearly 400 years, the Portuguese ruled here prior toMacau’s official return to the People’s Republic of China on December 20, 1999 as a special administrativeregion.

Compared with other Chinese metropolises like Guangzhou or Hong Kong, the land of Macau is quitesmall covering an area of just 27.5 square kilometers. The total population of Macau is about 470,000 ofwhich 95% are Chinese, the remainder being Portuguese and other westerners. The majority resides on theMacau Peninsular where you can find a variety of both Oriental and Western cultural and historical placesof interest and all sorts of old buildings that are either European baroque or traditional Chinese in style.The blend of people, culture and history has influences on every aspect of life in the city. A wander aroundthe Macau Peninsular will bring you into a world of antiques and fashion, traditional and modern, as wellas tranquility and glitz.

Most travelers who have been to Macau conclude that it is a location suited to both tourism and living asit is a beautiful city with clean streets, gardens and picturesque hilly landscapes. Sunshine, clear air, greenlands and all sorts of delicious food all contribute to its many attractions.

Wandering around is the best way to explore the city’s numerous historical and cultural heritages. Popularsightseeing places that form part of a traveler’s itinerary are spread all over the Macau Peninsular. Largo doSenado, the splendid main square with surrounding simple, elegant Portuguese and baroque style buildingsis the busiest downtown area of the city. Clothing shops, curio markets, pharmacies, snack stalls and jewelryshops housed in the narrow alleyways that radiate from the square sell dazzling items.

A northerly walk leads tourists to the featured attractions of the city Ruins of St. Paul’s, a former screenwall of St. Paul’s Church and the Monte Fort, one of the best-preserved forts in Macau. The Museum ofMacau, to the right of the ruins, tells all stories on the city’s past. Situated at the base of Penha Peninsula inthe southwest part of the city is A-Ma Temple, built in the Ming Dynasty (1368 - 1644), which is dedicatedto the sacred goddess A-Ma.

In the southern part of the Peninsular, the New Reclaimed Area and the Outer Harbor Area, comparedwith the more traditional central and western areas, is the newly-developed region on which the modernaspect of the city can be found. There are many luxurious hotels housing various gambling casinos and thesevenues are packed with people from all over the world when the night comes. Numerous museums in thesetwo areas present the essence of Macau’s culture and history including Macau Wine Museum, Grand PrixMuseumMacau Art Museum, etc.

The two outlying islands of Taipa and Coloane, connected to the Macau Peninsular by two bridges,feature tranquil natural and beach sceneries and are good choice for a short break away from the bustlingpeninsular. Macau Jockey Club’s horse racing attracts numerous gamblers. Hac Sa Bay and Bamboo Bayare two breathtaking natural scenic areas with the best seaside bathing places in Macau.

Macau is the paradise for gourmands with a wide range of delicious cuisines from all over the worldincluding unparalleled Macau-style Portuguese cuisine, traditional Cantonese cuisine, exotic food from Italy,France, Brazil, India, Japan, and Korea... Everyone can find his own favorite! Moreover, the well-knownMacau dim sum delicacies should never be missed. The Pastis de Nata (a Portuguese-style egg tart) thatoriginated on the outlying island of Coloane is the featured snack of the city. All kinds of dim sum rangingfrom almond cake, chicken cakes, cashew cookies, sesame crackers, egg and cheese rolls are served in themany Portuguese caf and they are good choices for gifts of families or friends.

Known as ’Oriental Las Vegas’, the gambling industry in Macau is booming and has already become animportant feature of Macau’s economy. Surprisingly, tourists do not find the kind of razzmatazz in Macau’scasinos as elsewhere; by contrast you can feel the expectations of gamblers from their polite manners andthe peaceful atmosphere.

Macau, a famous destination with prosperity and peace, fashion and history, oriental and western cultures,is deserving of a visit and a stay here is sure to revitalize the weary traveler.

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Macau

Zhuhai

Figure 6: A map of Macau

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Plenary Talk I

Monday, June 22, 2009, 09:00-10:00Room: Guohui

Chair: Hong Zhang

Dependable Autonomous Systems

Alex Zelinsky

Director, Information & Communication Technologies Centre

CSIRO, Australia

Abstract:

Today, we expect that all consumer technologies such as computers, ipods and motor vehicles all operatewith the highest levels of performance, reliability and integrity. For robotics and automation technologies tosuccessfully deployed into everyday situations, the general public quite rightly expect automation systemsto be fully operational 100% of the time. People expect autonomous technologies to operate at higher levelsof performance and safety than people themselves exhibit. For example smart car technologies are expectedto cause ZERO accidents while human errors kill more 150,000 people on our roads world-wide every year!

The design principles are now emerging based on years of exhaustive trial and error testing to underpinautonomous systems that are suitable for real-world deployment. Currently, it is not yet possible to realizean autonomous system that doesn’t fail periodically. Even if the mean rate between failures is days or weeks,a single failure could have catastrophic consequences.

CSIRO has adopted an approach to address this situation through built-in monitoring systems thatcontinually check all key system parameters and variables. If the monitored parameters move outside tightlydefined bounds the system will safely shutdown, and alert the human supervisor. The failure conditions arelogged and then further testing and debugging is performed. The value and appropriateness of our approachwill be shown by a number of real-world studies.

We have demonstrated how it is possible to design computer vision systems for human-machine applica-tions can operate with over 99% reliability, in all lighting conditions, for all types of users irrespective of age,race or visual appearance. These systems have been used in automotive and sports applications. We haveshown how this approach has been used to design field robotic systems that have deployed in agriculturalautomation, submersible marine robotics and 24/7 mining applications.

Brief Biography:

Alex Zelinsky is CSIRO’s Director of the ICT Centre. Dr Zelinsky isextensively published and is internationally recognised as a leader in thefields of Robotics and Computer Vision. Dr Zelinsky is recognised andrespected for the commercialisation of his ground-breaking research intocomputer vision systems.

Dr Zelinsky has received numerous awards for his work including the Aus-tralian Engineering Excellence Award, Australian Eureka Science Prize,US R&D magazine Top 100 Award (2002); and a Clunies Ross Award.Dr. Zelinsky has been a World Economic Forum Technology Pioneer. Heis a Fellow of the Academy of Technological Sciences and Engineering;Fellow of the IEEE and Fellow of Engineers Australia..

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Plenary Talk II

Tuesday, Jun 23, 2009, 09:00-10:00Room: Guoxing

Chair: James Mills

Active Wireless Capsule Endoscopy and

Automatic Diagnosis

Max Meng

Professor, Department of Electrical Engineering

Chinese University of Hong Kong, China

Abstract:

In this talk, we will first review the state of the art in wireless capsule endoscopy and the challengesin the development of active capsule endoscopes and the associated automatic diagnosis system based onimages obtained by the wireless capsule endoscopes. Our recent work on the development of wireless cap-sule endoscope dynamic model, accurate 3D localization of the wireless capsule endoscope, and actuationmechanisms will then be presented, together with analytical, simulation and experimental results we haveobtained. We will finish the talk with a brief summary of the contents presented and our views on futurepossibilities and research opportunities in the concerned research areas.

Brief Biography:

Max Q.-H. Meng has been a Professor of Electronic Engineering at theChinese University of Hong Kong since August 2002. He was with theUniversity of Alberta in Canada as an assistant professor (1994), as-sociate professor (1998), and professor (2000), respectively. His researchinterests include robotics and medical devices. He has published over 350international journal and conference papers. He served as an AssociateVP for Conferences of the IEEE Robotics and Automation Society andan AdCom member of the IEEE Neural Network Council/Society. He isa recipient of the IEEE Third Millennium Medal award and a Fellow ofIEEE.

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Plenary Talk III

Wednesday, June 24, 2009, 09:00-10:00Room: Guoxing

Chair: Yangmin Li

Simulation-based Engineering Science for

Automation in the Era of Information

Technology

Kok-Meng Lee

Professor, School of Mechanical Engineering

Georgia Institute of Technology, USA

Abstract:

Growing applications of robotics, automation and mechatronics in non-traditional industries (such asagricultural, food-processing, structural health monitoring, surgical robotics, and healthcare) present newopportunities as well as challenges. Unlike dealing with engineering objects, developing application-orientedautomation systems (working with human-subjects and/or handling live-products and natural-objects) re-quire well-thought designs to minimize the number of experiments. Often, such systems require fusing theknowledge and techniques beyond traditional engineering fields. Along with several practical and emerg-ing applications to help illustrate the impacts, this talk will focus on simulation-based engineering science(SES) which offers the scientific and mathematical basis to develop new approaches to synergistically design,model, algorithm, real-time computation, communication and control of systems for automation in the eraof information technology (AeIT).

Brief Biography:

Dr. Kok-Meng Lee received his M.S. and Ph.D. degrees in mechanicalengineering from the Massachusetts Institute of Technology in 1982 and1985, respectively. He has been with the Georgia Institute of Technol-ogy since 1985. As a Professor of mechanical engineering, his researchinterests include system dynamics and control, robotics, automation andoptomechatronics. He holds seven U.S. patents. Dr. Lee is a Fellow ofASME and IEEE. He is currently the Editor-in-Chief of the IEEE/ASMETransactions of Mechatronics for which he served as an Editor from 1995to 1999. He has held representative positions within the IEEE Roboticsand Automation Society: he founded and chaired the Technical Commit-tees on Manufacturing Automation (1996 to 1998) and on Prototypingfor Robotics and Automation; and served as Chair or Co-Chair for nu-merous international conferences and on the AIM Conference Advisory

Committee since 2000. His awards include Presidential Young Investigator (PYI) Award, Sigma Xi JuniorFaculty Award, International Hall of Fame New Technology Award, and the Woodruff Faculty Fellow. Hewas also recognized as an advisor for seven Best Student Paper Awards and a Best Thesis Award.

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MondayJune 22, 2009

2009 IEEE International Conference on Information and AutomationICIA 2009

1

Monday, June 22, 2009

Time Room Session Session Title Page

10:20 - 12:00 Guoxing M1-1 Automation I 3

Guoyun M1-2 Control Applications I 4

Guoxiang M1-3 Humanoid Robots 5

Guocui M1-4 Networks and Communications I 6

Guose M1-5 Computer Vision I 7

Guosheng M1-6 Information Acquisition I 8

Guowang M1-7 Poster Session I: Robots and Computer Vision 9

13:30 - 15:10 Guoxing M2-1 Automation II 11

Guoyun M2-2 Control Applications II 12

Guoxiang M2-3 Parallel Robots I 13

Guocui M2-4 Networks and Communications II 14

Guose M2-5 Computer Vision II 15

Guosheng M2-6 Information Acquisition II 16

Guowang M2-7 Poster Session II: Intelligent Control and Information 17

15:30 - 17:10 Guoxing M3-1 Automation III 19

Guoyun M3-2 Control Applications III 20

Guoxiang M3-3 Service Robots 21

Guocui M3-4 Networks and Communications III 22

Guose M3-5 Computer Vision III 23

Guosheng M3-6 Information and Signal Processing I 24

Guowang M3-7 Poster Session III: Automation and Mechanisms 25

2

Session: M1-1 Monday, June 22, 10:20 - 12:00

Automation I

Chairs: Youlun Xiong, Jiaquan GaoRoom: Guoxing

10:20 - 10:40

WBMOIGA: Weight-Based MultiobjectiveImmune Genetic Algorithm and its Application

Jiaquan Gao

The study presents a weight-based multiobjectiveimmune genetic algorithm (WBMOIGA). For WB-MOIGA, it can alleviate difficulty many weight-basedapproaches face by two new schemes: tournament selec-tion algorithm with similar individuals and truncationalgorithm with similar individuals. Numerical resultsshow WBMOIGA outperforms NSGA-II and RWGA.

10:40 - 11:00

Research on Distribution Structure of ApplicationService Provider Platforms Based on

Manufacturing GridWei Tan and Xifan Yao

With focus on resource application, this paper studiesthe problem of resource discovery in broad area. wepropose a multi-level tree overlay network structure forASP deployment, whose nodes are highly autonomousand mutually supportive. Lamination retrieval andmulti-spot discovery in broad area for resources can berealized through this structure.

11:00 - 11:20

A Comparison of Nonlinear Filtering Approachesfor Radar Target-Tracking Performances

Huibo Zhao, Quan Pan, Yan Liang and Yongmei Cheng

Nonlinear problem is a hot and difficult topic in radartarget tracking fielding. In this paper, we mainly com-pared classical tracking methods combining with RJM-CMC method, including the PF, EKF-PF, UKF-PFtechniques . Simulations on maneuvering target radartracking are carried out to validate the performance ofthe proposed scheme

11:20 - 11:40

Planning to Learn: Integrating Model Learninginto a Trajectory Planner for Mobile Robots

Matthew Greytak and Franz Hover

We present a path planning algorithm for a simple mo-bile robot that performs online model learning. If theconvergence rate of the learning algorithm can be pre-dicted for each candidate plan, then the planner au-tomatically incorporates active learning strategies intothe optimal plan.

11:40 - 12:00

Adaptive Distance Function and its Application inFree-Form Surface Localization

Wenlong Li, Zhouping Yin and Youlun Xiong

In this paper, a new distance function is defined to ap-proximatively describe the distance between updatedpoint and corresponding surface model. Our distancefunction constitutes of point-plane distance in normaldirection and compensated distance in tangent plane.The performances are confirmed by a series of simula-tion experiments.

Guoxing

3


Control Applications I

Chairs: Chun-Hsiung Fang, Hassen DorrahRoom: Guoyun

10:20 - 10:40

Stabilization of Discrete-Time Nonlinear ControlSystems

Chun-Hsiung Fang, Shih-Wei Kau, Sheng-Yu Shiu,Chi-Chiuan Lu and Xin-Yuan Huang

This paper deals with the stabilization problem fordiscrete-time nonlinear systems that are representedby the Takagi -Sugeno fuzzy model. By the multiplefuzzy Lyapunov function and the three-index algebraiccombination technique, a new stabilization condition isdeveloped. The condition is expressed in the form oflinear matrix inequalities (LMIs) and proved to be lessconservative than existing results in the literature. Fi-nally, a truck-trailer system is given to illustrate thenovelty of the proposed approach.

10:40 - 11:00

Fuzzy Tracking Control DesignShih-Wei Kau, Sheng-Yu Shiu, Chi-Chiuan Lu, Xin-Yuan

Huang and Chun-Hsiung Fang

The tracking control problem of T-S fuzzy systems issolved in the paper. A new method is proposed toimprove the existing result. All the designed conditionsare expressed in the form of LMIs. From the simulationexample, it can be seen that the proposed approachtracking performance.

11:00 - 11:20

Fuzzy PID Controller Design for PMLSM DirectDrive System

Huacai Lu and Manhua Li

A fuzzy PID controller is designed by combined fuzzycontrol with conventional PID control for the Perma-nent Magnet Linear Synchronous Motor direct drivesystem. Simulated and experimental results show thatthe controller has strong dynamic steady performance,and strong robustness to external disturbance.

11:20 - 11:40

Development of Fuzzy Logic-Based Arithmeticand Visual Representations for Solving Quadratic

Programming in Fully Fuzzy EnvironmentHassen Dorrah and Walaa Gabr

This paper presents the development of fuzzy logic rep-resentations using the notion of normalized fuzzy matri-ces developed by Gabr and Dorrah for solving quadraticprogramming problems in a fully fuzzy environment.The first is the arithmetic type based on dual cell repre-sentation, expressed by replacing each parameter withthe pair (Actual Value, Fuzzy Level). The second isthe visual type based on colored cells representation.

11:40 - 12:00

Differentially Flatness-Based Trajectory Control a2-Degree of Freedom Gantry Crane Robot

Yaqing Zheng

Detailed analysis of the differential flatness of a 2degree-of-freedom gantry crane robot on the basis ofits nonlinear dynamic model is given. The feedforwardcontroller and feedback trajectory tracking controllerare analyzed. The simulation results have proven thecorrectness of the theoretical conclusions.

Guoyun

4


Humanoid Robots

Chairs: Qiang Huang, Xiaorui ZhuRoom: Guoxiang

10:20 - 10:40

Numerical Method to Estimate the Initial State ofthe Stable Gaits for the Underactuated Biped

Robot with KneesLimei Liu and Yantao Tian

To estimate a initial state of the stable gaits for thebiped robot with knees, a new numerical method isproposed in this paper. It is based on the theories ofcell mapping and Poincar return map. Experimentalresults verified the validity of this method.

10:40 - 11:00

Multi-Objective Optimization for a HumanoidRobot Climbing Stairs Based on Genetic

AlgorithmsSheng Bi, Huaqing Min, Qifeng Liu and Xijing Zheng

A new method of gait optimization for a humanoidrobot climbing stairs based on multi-objective(zero mo-ment point (ZMP) and energy minimization) Geneticalgorithm(GA) was proposed in this paper. The simu-lation results showed the feasibility and effectiveness ofthe method.

11:00 - 11:20

A Humanoid Mini-Walking Robot with a StickFuliang Le, Xinyu Wu, Shiqi Yu, Bin Zhang and

Yangsheng Xu

This paper describes a compact mini-walking robotwith Barbie’s shape, and its walking is realized withonly one actuator. The first remarkable feature of thisrobot is the total weight and dimension of the proposedmechanism is expected to be lighter and smaller thanother mini-walking robots. Secondly, the proposed legmechanism in the robot can work smoothly as humanwith only one DOF.

11:20 - 11:40

Using NEWUOA to Drive the Autonomous VisualModeling of an Object by a Humanoid Robot

Torea Foissotte, Olivier Stasse, Pierre-Brice Wieber andAbderrahmane Kheddar

This paper presents a significant amelioration of our al-gorithm aiming at building autonomously visual mod-els of unknown objects, with a humanoid robot. OurNext-Best-View solution, relying on two different opti-mization methods, is modified in order to improve therobustness while broadening the cases that can be han-deld.

11:40 - 12:00

On-Line Trajectory Generation for a HumanoidRobot Based on Combination of Off-Line Patterns

Zhangguo Yu, Qiang Huang, Xuechao Chen, Wei Xu,Peinan Ge and Kejie Li

This paper proposed a method to generate stable andsmooth locomotion trajectory through linking basic off-line patterns together considering stability constraintsby spline interpolation. The robot makes a selection ofone basic pattern which can be link with the currentlocomotion pattern according to stability constraintsand route requirements.

Guoxiang

5


Networks and Communications I

Chairs: Max Q.-H. Meng, Weifeng ChenRoom: Guocui

10:20 - 10:40

An Improvement of DV-Hop Algorithm Based onCollinearity

Lingfei Wu, Max Q.-H. Meng, Jian Huang, Huawei Liang,Chao Peng and Zijing Lin

In order to fully consider the topology relationshipamong the anchor nodes, an Improvement of DV-HopAlgorithm Based on Collinearity is proposed, in whichwe introduce the concept of normalized colinearity(NC) into the selection phase of beacon nodes. Theexperimental results show the validity of the proposedmethod.

10:40 - 11:00

The Conditional Diagnosability of Mobius cubesunder the Comparison Model

Shuming Zhou

The growing size of the multiprocessor systems in-creases their vulnerability to component failures. Itis crucial to locate and to replace the fault processorsto maintain systems high reliability. The fault diag-nosis is the process of identifying fault processors in asystem through testing. The conditional diagnosis re-quires that for each processor v in a system, all theprocessors that are directly connected to v do not failat the same time.

11:00 - 11:20

On the Security Cost of Interval MulticastWeifeng Chen and Ye Sun

We propose a new approach based on Subset Differ-ence scheme to achieve interval-multicast security. Weformally prove that the cost of the Subset-Differencebased approach is no bigger than the one of the Key-Tree based approach. Our experiment studies demon-strate that the cost of the SD-based approach is muchsmaller.

11:20 - 11:40

ELHFR: A Graph Routing in Industrial WirelessMesh Network

Jindong Zhao and Zhenjun Liang

This article presented a routing protocol that ex-ploits the mesh topology and application characteris-tics of wirelessHART. It only find the shortest paths ofsome special nodes of a BFS tree. The routing algo-rithm and the routing updating mechanism are pre-sented.Simulation shows the proposal is better thanAODV.

11:40 - 12:00

Software Aging Estimation and Prediction of aReal VOD System Based on PCA and Neural

NetworksXiaozhi Du, Yong Qi, Di Hou and Chongan Xu

This paper investigates the software aging patterns ofa real VOD system. Firstly software aging is detectedand estimated. Then the software aging predictionmodel is constructed based on PCA and artificial neu-ral network. The experimental results show that thepresented aging prediction model is effective.

Guocui

6


Computer Vision I

Chairs: Zaili Dong, Hong WangRoom: Guose

10:20 - 10:40

The Object Recognition and Adaptive ThresholdSelection in the Vision System for Landing an

Unmanned Aerial VehicleFucen Zeng, Haiqing Shi and Hong Wang

We present a vision-based landing system for a UAVthrough the recognition of the landmark ”H” and atriangle on top of ”H”. An adaptive threshold selectionmethod and image registration are used to recognize”H”, and the Hough Line Detection and Helen formulais applied to detect the triangle.

10:40 - 11:00

Analysis, Comparison and Improvement of BlockMatching Based Sub-Pixel Motion Measurement

Methods for Image SequencesYangjie Wei, Zaili Dong and Chengdong Wu

The sub-pixel motion measurement for image sequencesis researched, and an improved two-dimensionaldistance-similarity measurement based on block match-ing algorithm is proposed to decrease the huge compu-tational burden of existing strategies. The experimentsare conducted with respect to the image sequences toshow the feasibility and validity of the methods.

11:00 - 11:20

Improvement of Physics Performance on FFDAlgorithm

Weihua Hui, Quanhu Zhang, Bin He and Shiqi Huang

FFD algorithm is a main method on geometry sculp-ture, but this approach is only used in globe regionand in geometry deformation. We present a new FFDmethod based on physics which is created on mass-springs model with local deformation character, so thisgeometry method can be with physics attribute, whichextend application fields of FFD method greatly.

11:20 - 11:40

Comparison of Image Analysis and ConventionalMethods for Cellular Tissue Proportion

Measurement of WoodHaipeng Yu, Yixing Liu, Guangping Han and Yongzhi Cui

Wood cellular tissue proportions of twenty-five woodspecies were analyzed with both image analysis methodand conventional weighing and grid-counting methods.The results showed that significant positive correlationsexist among the tested data. The approach of imageanalysis had more advantages of rapidity, accuracy andagility than the conventional methods.

11:40 - 12:00

A Novel Boiler Flame Image Segmentation andTracking Algorithm Based on YCbCr Color Space

Min Xie, Jianhua Wu, Lin Zhang and Chun Li

A flame image automatic threshold segmentation andtracking algorithm based on YCbCr space is pro-posed.The proposed algorithm is tested on two types ofvideo sequence.The experimental results indicate thatit is a concise method of high speed and efficiency, andthe central area of the flame can be segmented andtracked effectively.

Guose

7


Information Acquisition I

Chairs: Bin Liang, Xianzhong DaiRoom: Guosheng

10:20 - 10:40

Data Flow Control Infrastructure for theDistributed Cooperative Measurement System

Dengpan Zhang and Haige Song

This paper presents a novel data flow control Infras-tructure for the collaborative distributed measurement.The proposed way implements the reconfiguration ofthe virtual measurement cases and schedules the usersmeasurement tasks among all the registered equipmentor measurement units by a dynamic reconfigurablescheduling mechanism.

10:40 - 11:00

Research on Real-Time Estimation for Control ofTethered Satellite System

Yong He, Bin Liang, Wenfu Xu and Cheng Li

In this paper, a real-time estimator is developed to getthe parameters. The Extended Kalman Filter is used toestimate the parameters. The proposed estimator notonly reduces the complexity of system model, but alsoimproves the parameters precision. Simulation resultsverify the validity of this method.

11:00 - 11:20

Data Mining Based on Fuzzy Rough Set Theoryand its Application in the Glass Identification

Ruying Sun and Rongcang Han

To overcome the disadvantage of determining artifi-cially the class number, fuzzy C means clustering isintroduced to fuzzify the continual attribute, and thebest minute class number is obtained by cluster valid-ity analysis. The relationship of glass composition andits application is excavated using data mining methodin this paper.

11:20 - 11:40

Deign of CMOS Image Acquisition andVerification System Based on FPGA

Houde Liu, Yafei Sun, Weida Huang and Bin Liang

This paper designs a CMOS image acquisition and ver-ification system based on FPGA. The key technologiesof this system are analyzed and verified, including thedevelopment of drive programming of CMOS sensorand experimentation on image display. This systemcan realize image acquisition and verify image collectedfrom image acquisition system.

11:40 - 12:00

Development of ANN Inverse Compensator forTwo-Dimensional Force Sensor

Yuhan Ding, Xianzhong Dai and Chunmiao Ma

To improve the dynamic performance and eliminatethe coupling of the oblate ring 2-Dforce sensor, anANN inverse compensator is constructed. The com-pensator is composed of several differentiators and astatic ANN. Experiment results show that the couplingphenomenon almost disappears and the dynamic per-formance is ameliorated.

Guosheng

8


Poster Session I: Robots and Computer Vision

Chairs: Yangmin LiRoom: Guowang

10:20 - 12:00

A Fast SLAM Algorithm Based on the AuxiliaryParticle Filter with Stirling Interpolation

Liang Zhang and Yaowu Chen

This paper provides a method which combines the aux-iliary variable model with FastSLAM and, uses StirlingInterpolation to approximate the nonlinear functions.It overcomes the drawbacks of the FastSLAM by us-ing a model ignoring the measurement data and theapproximation error for nonlinear functions.

10:20 - 12:00

Adaptive Method for Infrared Small TargetDetection Based on Gray-Scale Morphology and

Backward Cumulative Histogram AnalysisXinyu Wang, Jingdong Chen, Huosheng Xu and Xi Chen

We present a fast and adaptive method for infraredsmall target detection. Image background regionsare removed using top-hat transform. Then, opti-mal threshold is obtained by backward cumulative his-togram analysis and CFAR. Finally, small targets aredetected using multi-frame data association. Exper-imental results prove the validation of the proposedmethod.

10:20 - 12:00

The Design of Eight Degrees of Freedom RescueCutting Robot System on Vehicle

Yuxian Gai, Huiying Liu and Shaoping Huang

An eight degrees of freedom rescue cutting robot onVehicle has been developed, including mechanical sys-tem, Sensing and control system, Remote control videosystem, and Vibration control system. It can used inarmy to eliminate explosive. When military engineer-ing has been attacked, it can be used to cut protectiondoor.

10:20 - 12:00

Fast Automatic Image Segmentation Based onBayesian Decision-Making Theory

Zhigen Fei, Junjie Guo, Peng Wan and Wenjian Yang

It is proposed to apply Bayesian decision-making the-ory based on minimum error probability to image seg-mentation. A novel method called weighted equal in-terval sampling is presented to obtain the contractedsample set. MMIC algorithm of Bayesian InformationCriterion is employed to determine segmentation num-ber.

10:20 - 12:00

Research on Obstacle Avoidance Based on FuzzyControl for Inspection Robot in Oil Pipeline

Ding Feng, Jin Liu, Shouyong Li, Peng Wang, Kui Zhouand Chaobin Huang

The paper has designed the fuzzy controller and estab-lished the fuzzy control rule for an oil pipeline inspec-tion robot based on the fuzzy control principle. Whatsmore, the results of the simulation experiment for therobot show that the obstacle-avoidance control technol-ogy has favorable real-time, robustness and flexibility.

10:20 - 12:00

Automatic Image Segmentation IncorporatingShape Priors via Graph Cuts

Xianpeng Lang, Feng Zhu, Yingming Hao and QingxiaoWu

In this paper, we propose an automatic segmentationalgorithm via graph cut. Firstly, the data term in tra-ditional graph cut energy is redefined to counteract il-lumination change. Secondly, shape priors are intro-duced into segmentation process, which help to obtainmore robust results. Finally, an automatic segmenta-tion strategy is presented.

Guowang

9


10:20 - 12:00

Robot Volume and Movement AbilityRelationship Research

Junyao Gao, Xueshan Gao, Jianguo Zhu, Boyu Wei andShilin Wang

This paper aims at robot volume and movement abilityrelationship. A mathematic formula explains why bigrobot is slow than little robot. Big robot needs big ratioof power to weight. But it is difficult for big robot usetoo big motors. Big robot is often duller than littlerobot.

10:20 - 12:00

Kinematics of Parallel Kinematic MachineExechon

Zhuming Bi, Y. Jin, R. Gibson and P. McTotal

Due to the potential advantages of parallel kinematicmachines, hundreds of them have been proposed. How-ever, only a few of them have been practically applied.One recently-developed one is the Exechon. Less the-oretical studies are available to prove its good perfor-mance. In this paper, its kinematics has been investi-gated.

10:20 - 12:00

New Method for Kinematic Analysis of a HybridManipulator

Jun Shi, Xiaorui Zhu and Zexiang Li

This paper presents a new method to analyze the kine-matics of a widely-used commercial hybrid manipulatorIRB260 from the ABB Company. This manipulator in-cludes two parallel four-bar mechanisms that make thekinematics and dynamic analysis complicated. In thispaper, the rigorous analytical method is totally basedon the exponential coordinate description and the screwtheory. This method has created the virtual open-chainmanipulator that is equivalent to the hybrid manipula-tor. Then the kinematics can be solved using the rou-tine steps for the virtual open-chain manipulators. Thesimulation results show that this new method results inthe correct kinematics of this hybrid manipulator.

10:20 - 12:00

Topology Synthesis and Classification of a NovelFamily of Parallel Manipulator With 3-Dimension

Translation and 1-Dimension RotationYuan Chen and Bing Li

Based on the single-open-chain method, a systematicand effective design process is given and the 12 promis-ing 3T1R parallel manipulators with lower coupling de-gree are presented originally in this paper. These ma-nipulators are deliberately classified according to fourevaluation criterions. Lastly, a novel synthesized ma-nipulator is applied to cooking robot.

10:20 - 12:00

Maintaining Communication Links inUnstructured Environments with a Team of

Mobile RobotsXi Chen, Wei Zhuang and Jindong Tan

The estimation of communication links quality plays acritical role not only in sensor network routing proto-col, but also in maintaining the sensor network. Byevaluating the estimation, when identify some failuresoccure, mobile robots can be deployed to automaticallymove to the region to cover communication gaps. Thispaper presents a comprehensive metric to evaluate thelinks quality and the corresponding control schemes tomaintain the communication links. The mobile robotsdynamically reconfigure themselves to maintain reliableend-to-end communication links. Moreover, the selfde-ployment algorithms allow a team of robots to recognizethe coverage gap by monitoring links quality.

Guowang

10


Automation II

Chairs: Chao Hu, Yunjian GeRoom: Guoxing

13:30 - 13:50

Time-Varying LQ Control for Autonomous SoftLanding of Small-Scale Helicopter

Xiaohu Xia, Min Zhu, Xiaotao Zhang and Yunjian Ge

This paper addresses soft landing of miniature heli-copter and suggests an optimal strategy with appro-priate design parameters for soft landing. The time-varying gains and time-varying quadratic performanceindex LQ control for soft landing of helicopter exam-ines and simulate. Simulation results have proved thatthe designed controller is suitable.

13:50 - 14:10

People Counting in Crowded Environment Basedon Texture Analysis

Sen Guo, Wei Liu and Heping Yan

This paper discusses people counting of crowd openscene according to statistics. Firstly, features of tex-ture of scene image are obtained based on grey leveldependence matrix. Then the statistical model of num-ber of people is built. At last, people is counted basedon those statistical models.

14:10 - 14:30

The Injection Machine Automatically SetParameters Method of Injection Speed and

PressureHanru Zhong and Rui Xu

This paper presents an injection model and a methodfor setting grading injection pressure and speed auto-matically by a kind of engineering experiment. The in-jection model is established based on the physical pro-cess of mold filling, and then is solved by the computercalculation for gaining grading points.

14:30 - 14:50

Dual-Modal Indoor Mobile Localization SystemBased on Prediction Algorithm

Lujia Wang, Chao Hu, Jinkuan Wang, Longqiang Tianand Max Q.-H. Meng

This paper proposed an indoor RF localization systemby using dual-modal architecture. It applies SPKF al-gorithm to reduce the reflection and scattering effecton signal propagation in the indoor environment. Ex-perimental results demonstrate it can improve the lo-calization accuracy and reduce the communication costwhile object is moving.

14:50 - 15:10

Controller Design of a Two-Degree-of-FreedomSmith Predictor Scheme for Improved

PerformanceWei Tang, Dezhi Meng, Xi Wang, Kaisheng Zhang and

Mengxiao Wang

A simple controller design method for a two-degree-of-freedom Smith predictor is investigated to obtain animproved performance of setpoint tracking and distur-bance attenuation. The double controllers are designedas ideal PID and approximate derivative PID, respec-tively. Simulations and application indicate the advan-tages of the proposed method.

Guoxing

11


Control Applications II

Chairs: Yunhui Liu, Youlun XiongRoom: Guoyun

13:30 - 13:50

Research on the Fast Nose-Point Control of aFighter

Kaijun Liao, Xinmin Dong and Xiaoping Wang

The fast nose-point control of a fighter is researched inthe frame of Integrated Control System with a multi-strata hierarchical structure. The nose pointing com-mand including the normal load command and bankangle command is got and the actuator-allocation con-troller is designed.

13:50 - 14:10

Control System for Continuous Soaking Process inSugar Refinery

Wenbo Na

The continuous soaking process (CSP) is an importantstep in sugar refinery. This paper presented an intelli-gent optimization control system (IOCS) to implementthe modeling, optimization, and control of the CSPwith the help of c-means,clustering and genetic. Theresults of actual runs demonstrate the validity of thesystem.

14:10 - 14:30

Robust Fuzzy Control for Uncertain MarkovianJump Nonlinear Singular Systems

Aiqing Zhang and Huajing Fang

This paper deals with the problem of robust stochas-tic stabilization for Markovian jump nonlinear singularsystems with Wiener process via a fuzzy-control ap-proach. Based on LMI, a state feedback fuzzy con-troller is designed such that the closed-loop fuzzy sys-tem is robustly stochastically stable for all admissibleuncertainties.

14:30 - 14:50

A Hybrid Control Method of Tension and Positionfor a Discontinuous Web Transport System

Jiankui Chen, Zhouping Yin, Youlun Xiong and JianzhouQuan

This paper is focused on actualizing a hybrid controlmethod of tension and position for a discontinuous webtransport system. Based on the mathematical modeland hybrid control strategies, an experiment platform isestablished. Several experiments have been performedto show the efficiency and feasibility of this hybrid con-trol method.

14:50 - 15:10

Global Asymptotic Stabilization Control of a LakeSurface Cleaning Robot

Zhongli Wang and Yunhui Liu

A global asymptotic stabilization control based on vec-tor backstepping design for an underactuated lake sur-face cleaning robot (LSCR) is proposed.A non-smoothtransformation is used for transforming the system dy-namics from the Cartesian coordinates to the polar co-ordinates. Then with the vectorial backstepping designprocedures, the position and orientation of the LSCRcan be synchronously convergent to the desired config-uration. The proofs of the stability and convergenceare provided.

Guoyun

12


Parallel Robots I

Chairs: Jianwei Zhang, Yunjiang LouRoom: Guoxiang

13:30 - 13:50

Domestic Robots with Multi-Function and SafeInternet Connectivity

Xiaofeng Xiong, Zhangjun Song and Jianwei Zhang

This paper presents a kind of domestic robot withmulti-function such as cleaning, telepresence. Its modeof control is based on the Internet by remote control.Because of high cost and unreliable connectivity basedon the Internet, we emphasize integration of functionand a safe method of encryption.

13:50 - 14:10

Dynamic Modeling and Contouring Control ofParallel Kinematic Machines

Yingying Zhong, Yunjiang Lou and Zhibin Li

This study concerns dynamic modeling and contour-ing control of parallel kinematic machines. Since thetracking error does not reflect truly product quality, thecontouring error is introduced in dynamic control. Forcomparison purpose, the augmented PD control andthe computed torque control are also carried out.

14:10 - 14:30

The Error Modeling and Accuracy Synthesis of a3-DOF Parallel Robot Delta-S

Jiangpin Mei, Liangan Zhang and Yi Li

In this paper, some key issues of a 3-DOF parallel ma-nipulator named Delta-S is developed, such as errormodeling, sensitivity analysis, and accuracy synthesis.Firstly, the characteristics of Delta-S are analyzed andits error mapping function is formulated in the follow-ing. Secondly, the sensitivity analysis is carried out tofind the source errors which affect the pose accuracy ofthe end-effecter in terms of the error model.

14:30 - 14:50

Dynamics Based Trajectory Planning for ParallelManipulators

Yunjiang Lou and Fang Feng

In order to fully exploit capacity of parallel robots,dynamics based trajectory planning is inevitable byconsidering both kinematic and dynamic constraints.Three dynamics based trajectory planning methods,the time-optimal, the jerk-bounded, and the cubic poly-nomial planning, are investigated, compared and imple-mented using the Orthopod parallel manipulator.

Guoxiang

13


Networks and Communications II

Chairs: Shuxiang Guo, Hong Bae ParkRoom: Guocui

13:30 - 13:50

Research of Fault-Tolerance Technique for HighAvailability Industrial Ethernet

Aidong Xu, Liqun Jiang and Haibin Yu

Industrial Ethernet are widely used in industrial controlsystem, but the requirement of high reliability and sta-bility for control system limits the application of indus-trial Ethernet. Providing high available fault-tolerantcapability on the large control systems becomes a veryimportant issue. In this paper, three industrial Ether-net based redundancy protocols are presented.

13:50 - 14:10

Robust and Non-Fragile H-Infinity CongestionController Design Algorithm for ABR Service of

ATM Networks: PLMI ApproachSeung Hyeop Yang, Joon Ki Kim and Hong Bae Park

We describe the synthesis of robust and non-fragile H-infinity state feedback rate-based congestion controllersfor the ATM network system with affine parameter un-certainties and round trip delay, as well as static statefeedback congestion controller with polytopic uncer-tainty. And we show that the resulting controller guar-antees the asymptotic stability and disturbance atten-uation of the closed loop system.

14:10 - 14:30

Building Information Specification Ontology forComputer Network Management Based on Formal

Concept AnalysisHui Xu and Debao Xiao

Specification ontology may be a prospective solutionfor unified description of management data modelinglanguages. However, basics of a unified mathematicaltheory are still lacking for ontology building. Delightedby the philosophical thinking of conceptual scheme fordescriptive metaphysics, this paper tries to utilize For-mal Concept Analysis for this purpose.

14:30 - 14:50

An Acoustic Communication System for MultipleUnderwater Vehicles Based on DS-CDMA

Shuxiang Guo and Zixin Zhao

This paper proposes an underwater acoustic commu-nication system based on DS-CDMA for multiple un-derwater vehicles. Multiple underwater vehicles in thissystem can communicate with the console on the watersurface simultaneously. The simulation results indicatethat it is feasible to use this system to accomplish un-derwater communication reliably.

14:50 - 15:10

An Anycast Model of ImplementingCommunication Between Ad Hoc Networks and

IPv6 NetworksXiaonan Wang and Huanyan Qian

This paper proposes a communication model whichutilizes Anycast to perform the seamless communica-tion between Ad Hoc networks and IPv6 networks.This model creates a new kind of IPv6 address auto-configuration scheme which does not need the addressduplication detection.

Guocui

14


Computer Vision II

Chairs: Youfu Li, Jianwei ZhangRoom: Guose

13:30 - 13:50

A New Image Matching Algorithm Based on ScaleAdapted Interest Point DetectionPeng Liang, Shaofa Li and Cheng Wang

This paper brings forward a novel interest point detec-tor called scale adapted Harris detector to detect inter-est points, then we formulate feature matching problembased on Earth Movers Distance for image matching.Experimental results demonstrate the proposed algo-rithm perform better than other methods in both recalland precision.

13:50 - 14:10

Adaptive Background Update Based on MixtureModels of Gaussian

Feng Wang and Shuguang Dai

Background subtraction method is commonly used inimage segmentation. This paper puts emphasis onbackground model update based on mixture models ofGaussian, and implements an adaptive learning methodto update background models. Each pixel is classifiedinto 4 different types: still background, dynamic back-ground, moving object, temporary still object.

14:10 - 14:30

A Frequency Domain Approach to Fast andAccurate Image Registration

Haili Xu, Guoran Hua, Jian Zhuang and Sun’an Wang

An approach to image registration based on Pseudo-Polar Fast Fourier Transform (PPFFT) and SmallWorld Clonal Selection Algorithm (SWCSA) is intro-duced. With PPFFT, the complexity of computationis significantly lower. Because of the optimization al-gorithm used, the processing accuracy of our methodis higher than that of phase correlation algorithm.

14:30 - 14:50

Motion Descriptor: A Motion TrajectorySignature

Shandong Wu, Y. F. Li and Jianwei Zhang

We propose a novel concept of motion descriptor toserve as a fundamental mechanism to describe long-term spatiotemporal motions. The descriptor is a so-called signature description of motion trajectories ex-tracted via visual tracking. We present the signaturerationale, flexible variants and its typical uses.

14:50 - 15:10

A Practical Method for CalibratingOmnidirectional Cameras using LCD Panel

Liwei Zhang, Jianwei Zhang and Ying Hu

In this paper, we present an LCD-based method forcalibrating an omnidirectional vision system with aparabolic mirror. Experimental results show that thereprojected error is less than half the error of theprinted chessboard model. The method is economicand easy to implement.

Guose

15


Information Acquisition II

Chairs: Zhiguo Gong, Wancheng WangRoom: Guosheng

13:30 - 13:50

OWL-based Emergency Preplan OntologyCreation and Application in Knowledge Sharing

Feng Yang, Hui Wen, Wei Cheng and Xiaoling Dai

Knowledge representation and sharing crossing organi-zations become critical problems. A new constructionmethod of owl ontology oriented to emergency preplanis proposed, and then, based on the emergency preplanontology guided by the new construction method, weput forward a knowledge management and share frame-work oriented to virtual organization.

13:50 - 14:10

Inversion Based State Estimation in BioleachingProcess Performed by Thiobacillus Ferrooxidans

Wancheng Wang

The ”assumed inherent sensor” inversion (AISI) that isa soft-sensor in essence is used to perform the on-lineestimation of the directly immeasurable state variablesin the bioleaching process performed by ThiobacillusFerrooxidans. The simulations are performed by usingthe AISI for the bioleaching process with measurementnoises. The simulation results show the effectiveness ofthe AISI.

14:10 - 14:30

Research on an Effective Domain Meta-SearchEngine System

Nengfu Xie and Wensheng Wang

This paper proposed a domain search engine system,called DSES, and provided a domain information de-termination algorithm to solve domain information se-lection. The new approach significantly improved thedomain-specific information closure, reducing the non-information returned. A DSES-based agriculture do-main information system was designed, which showedthe method was effective.

14:30 - 14:50

Log Mining to Support Web Query ExpansionsPatrick Ngok and Zhiguo Gong

In this paper, query expansion will be achieved by min-ing query information in a query log. An associationwill be constructed by data mining association tech-nique. Then every incoming new query will be com-pared with the newly built association rule, and a newexpanded query can be constructed with the originalquery and the newly added item.

14:50 - 15:10

Sensorless Position and Speed Estimation withImproved Integrator for PMLSM Drive Improved

Integrator for PMLSM DriveHuacai Lu, Manhua Li and Yuetong Xu

A sensorless detection algorithm designed for perma-nent magnet linear synchronous motor. Measured ter-minal currents and voltages are used to estimate theflux of the -axis in stator frame. Position and speedsignals are derived from angle of the flux linkage andits change rate. A new improved integrator is designedfor compensate DC offsets and drift.

Guosheng

16


Poster Session II: Intelligent Control and Information


13:30 - 15:10

A Novel Absolute Magnetic Encoder Based onPseudorandom Code

Yong Liu, Shuanghui Hao and Minghui Hao

A new multi-pole encoder was proposed. Two ring al-nicos were used: one was magnetized to 8 N-S, andthe other was magnetized according to pseudorandomcode. Encoder was calibrated using a higher resolutionoptical encoder off-line. It can realize absolute detec-tion and cost is very low.

13:30 - 15:10

Automatic Acquisition and Test for GroundingGrid Corrosion Diagnosis

Jian Liu, Didi Cao, Hongli Cheng, Yanna Yang, YunfengNi, Teng Li and Sen Wang

To reduce the manpower, an automatic acquisition andtest system for grounding grids corrosion diagnosis isproposed. The basic principle, the steps to produce thecomplete test scheme and the control strategy of auto-matic acquisition and test are described. Experimentresults show the feasibility of the proposed approach.

13:30 - 15:10

Uneven Virtual Grid-Based Clustering RoutingProtocol for Wireless Sensor Networks

Zhe Ji, Shunjie Xu, Guoqiang Wang and Li Hong

In order to balance network load in WSN, uneven vir-tual grid-based clustering routing protocol (VGCR) isproposed. VGCR divides network into different rings.According to optimal number of cluster heads, rings aredivided into grids. Cluster is rotated to change the rel-ative location of nodes. Simulation results show goodperformance.

13:30 - 15:10

A Method of Constructing Complete Graph forMulti-Objects Path Planning in Complex

EnvironmentBo Gao, Demin Xu and Fubin Zhang

This paper describes an approach that integrates therepresentations of uniform grids and Voronoi diagramsto build the complete graph in complex environment formulti-objects. It generates an initial Voronoi diagramand make modifications considering the relationship be-tween objects and obstacles. The complete graph isbuilt from the modified diagram.

13:30 - 15:10

Target Detection in Complex Background basedon Fuzzy Enhanced Fractal FeatureKunhua Zhang, Xuan Yang and Li Zhang

The new membership function of fuzzy sets based onfractal feature is defined and fractal difference be-tween target and background was increased effectivelythrough fuzzy enhancement transformation. Thencombing region connection with area feature, the tar-get can be detected in complex background correctly,and capability of restraining noise is good.

13:30 - 15:10

Research on Intelligent Decision Support Systemfor Power System

Zhuangzhi Liu, Dongxiao Niu, Xusheng Yang andWanxing Sheng

In order to assist the dispatcher make operationand control decision correcctly and quickly,this paperpresents an innovative multi-agent architecture of deci-sion support system for power system operation. Thesystem is divided into three layers: the decision re-source layer, the communication facilitator layer andthe function agents layer.

Guowang

17


13:30 - 15:10

The H-infinity Control Applying onElectromagnetic Suspension Height of the Beam

on Numerically Controlled Machining Center withMovable Gantry

Xia Yang, Yan Gao, Bo Yang and Jiguang Du

A suggestion to suspend large-scale movable compo-nent, has been put forward firstly to realize high accu-rate orientation without friction in this paper. Thesimulatio designed a H robust controller to improvethe rigidity of electromagnetic suspension air-gap. Thiscontrol method can be reali n result shows that this con-trol method has better dynamic and static performanceand robustness, and meets the requirement on high ac-curate rigidity of electromagnetic suspension height.

13:30 - 15:10

An Expert System for the Anaerobic WastewaterTreatment Process

Jiayu Kang and Linan Mi

An expert system (ES) developed for the monitoringand diagnosis of anaerobic wastewater treatment plantsis presented. The expert system puts emphasis on themonitoring and designing of PH control and the pre-vention of acidification. The results show that goodmonitoring effect can be achieved.

13:30 - 15:10

A Novel Light Intensity Modulation CurvatureFiber Optic SensorYili Fu and Haiting Di

A fiber optic sensor is developed, which can measurecurvature directly. Experiments show that the outputof sensor is linear with curvature when the radius islarger than 60mm. Mathematical models are proposed.The sensors are used to build a quasi-distributed sys-tem, which can measure curvature and torsion anglesimultaneously.

13:30 - 15:10

Assessment Model of Coal Enterprise’sInformationization Level Based on Analytic

Hierarchy ProcessKang Shao and Jinyun Li

This paper introduced a new approach combining tech-niques of AHP and Delphi to construct target systemand assessment model of coal enterprise informationiza-tion, where the AHP technique was used to establishthe hierarchical structure model, and the judgment ma-trix was constructed by using both the AHP score andDelphi method.

13:30 - 15:10

Wavelet Neural Networks Based PerformanceEstimation for Power Gating Domino Circuits

Jinhui Wang, Wuchen Wu, Na Gong, Lei Zuo, XiaohongPeng and Ligang Hou

A system for estimating the leakage power, the ac-tive power and the delay of domino OR gates withthe sleep transistor based on wavelet neural networksis proposed. It possesses fast speed convergence andhigh precision. Comparison between the footer and theheader sleep transistor technique is given at last.

13:30 - 15:10

Skew Detection of Track Images Based on WaveletTransform and Linear Least Square Fitting

Changyou Li and Quanfa Yang

A novel algorithm to detect the skew angle of a scannedtrack image is proposed. In the algorithm, the wavelettransform is used to extract the skew feature pointsfrom the track images and the linear least squaremethod to get the skew angle.

Guowang

18


Automation III

Chairs: Shusheng Bi, Zhixin ZengRoom: Guoxing

15:30 - 15:50

Centralized Control of Home Electric AppliancesBased on Short Range Wireless Technology

Yong Li, Donghai Huang, Zhenyu Chen and Zhixin Zeng

This paper presents a star topology architecture systemfor the control of small home electrical appliances. Theproposed system exploits the open Internet standards.The pilot project constructed a connection between aPC and two air conditioners through wireless modulesand serial communication links with a new CRC algo-rithm.

15:50 - 16:10

An Automatic Microassembly Workcell forPMMA Microfluidic Chip Packaging

Minglei Sun, Shusheng Bi, Guohui Qiao and Jingjun Yu

This paper reports on a workcell developed for PMMAMFC alignment with micro assembly operations in vol-ume MEMS devices production. The work-cell inte-grates microscopic computer vision, precise positioningand pneumatic driving technique. Experimental resultsshow that the average operation cycle is 3.4 minutes;the microassembly accuracy can reach 2.9 microns.

16:10 - 16:30

Ontology-Based Model for Resolving theData-Level and Semantic-Level Conflicts

Yumeng Zhao, Shidong Zhang and Zhongmin Yan

This paper puts forward a new architecture calledRCM, which provides an extensible mechanism to de-scribe mapping formulas and constraints of conflicts be-tween global ontology and local sources. Grounded onthe given model, an enhanced algorithm is proposed todeal with difficulties caused by data-level and semantic-level conflicts.

16:30 - 16:50

MH Algorithm: A Mixed Heuristic Algorithm forSolution of Two-Dimentional Cutting Stock

ProblemYingyu Huo, Kejing He, Rengui Zhang and Yong Zhong

Presents a single objective linear programming modelfor the 1D and 2D cutting stock problems with timerestriction, and proposes an efficient multistage MixedHeuristic Algorithm (MHA) for model solving. Thefinal cutting solution gotten by the MHA achieves autilization ratio of more than 95%. MHA is widelyapplicable and very fast.

16:50 - 17:10

Backstepping-Based Path Following Control of anUnderactuated Autonomous Underwater Vehicle

Yintao Wang, Weisheng Yan and Rongxin Cui

This paper derives a control law to steer the dynamicmodel of an underactuated autonomous underwater ve-hicle (AUV) along a predefined path. We describe thepath to be followed by the movement of a virtual AUVand drive the actual AUV on the desired path throughfollowing this virtual AUV. Furthermore, it overcomesa singular point that are presented in a number of pathfollowing control strategies described in the literature.Controller design builds on Lyapunov theory and back-stepping techniques. The resulting control law yieldsconvergence of the path following error trajectories tozero. Simulations illustrate the performance of the pro-posed controller.

Guoxing

19


Control Applications III

Chairs: Nghia Duong Hoai, Jiangang LiRoom: Guoyun

15:30 - 15:50

Self-Tuning Controller Design for Motion ControlSystems

Yanan Li, Jiangang Li and Xuehui Ye

The modeling and identification for motion control sys-tems are discussed. A mechanism is proposed to dealwith the low-excitation problem in the closed-loop iden-tification. A self-tuning feedback controller is proposed.And the self-tuning ZPETC is used to improve thetracking performance. All these algorithms are verifiedin a milling machine

15:50 - 16:10

Dynamic Scheduling of Multi-Task for HybridFlow-Shop Based on Energy Consumption

Lingli Zeng, Fengxing Zou, Xiaohong Xu and Zheng Gao

The idea of idle time window(ITW) is introduced.With the ITWs of machines as constraints, the math-ematical model is proposed for dynamic schedulingof multi-task for hybrid flow-shop with the objectiveof minimizing the energy consumption. The particleswarm optimization algorithm is employed to solve thisproblem.

16:10 - 16:30

Petri Net Controller Synthesis for AdvancedSurface Movement Guidance and Control System

Xinmin Tang, Xinping Zhu and Songchen Han

To guarantee safety of surface movements, it is neces-sary to develop Advanced Surface Movement Guidanceand Control System. This paper focuses on the con-troller synthesis of A-SMGCS based on discrete eventsupervisory control theory, the confliction avoidanceproblem of movements is transformed into state for-bidden problem of controlled Petri net.

16:30 - 16:50

A Sliding Mode Controller for Induction MotorFed with Three-Level Inverter

Bac Nguyen Xuan and Nghia Duong Hoai

This paper presents a sliding mode controller for induc-tion motor fed with three-level Neutral Point Clamped(NPC) Voltage Source Inverter (VSI). The simulationand the experimental results demonstrate the stabilityand the robustness of the proposed method.

16:50 - 17:10

Current-based Wheel Slip Detection of All-WheelDriving Vehicle

Zhiping Zhu, Kui Yuan and Zuo Wei

This paper presents a current-based wheel slip detect-ing method which can detect longitudinal wheel slipof a all-wheel driving vehicle running on road surfacewith different friction patches. A multi-mode slippagedetection scheme is proposed to judge whether a wheelslippage occurs by detecting the change of the relevantwheel velocity and the change of the driving wheel ar-mature current. A simple predictive control algorithmis also proposed to reduce the effect produced by thewheel slippage.

Guoyun

20


Service Robots

Chairs: Shugen Ma, Chao HuRoom: Guoxiang

15:30 - 15:50

An Amphibious Snake-Like Robot: Design andMotion Experiments on Ground and in WaterShumei Yu, Shugen Ma, Bin Li and Yuechao Wang

This paper presents an amphibious snake-like robotsdesign and its omnipotent locomotion ability both onthe land and in the water. This amphibious snake-likerobot, mainly composed by 9 Modular Universal Units,is waterproof and can move smoothly in the water whilepressurized with O-rings and other essential accessories.In this paper, we concentrate on the gait diversity ofthe amphibious snake-like robot.

15:50 - 16:10

Image Representation and Compression forCapsule Endoscope Robot

Chao Hu, Max Q.-H. Meng, Li Liu, Yinzi Pan andZhiyong Liu

In this paper, we present image representation andcompression techniques for the capsule endoscope.First, the characteristics of the capsule endoscopic im-ages are investigated. Secondly, the Cartesian, po-lar coordinate, and expanded square representations ofthe circular image are discussed. Then special DPCM,wavelet compression techniques are applied to get highcompression ratio and signal to noise ratio.

16:10 - 16:30

A Technical Review on The OrthopedicCompliant Robotic Arms

Hongliang Ren, Max Q.-H. Meng, Lin Qi and Yichen Fan

We investigate the existing studies on the orthopediccompliant robot arms, together with our proposals forthe pelvic surgery. In pelvic-acetabular surgery, it isimportant to position the tools accurately and preciselyfor operations. A review is given for the industrialrobotics arms serving as surgical tools.

16:30 - 16:50

Inverse Kinematic Analysis for the Arm of aMobile Humanoid Robot Based on the

Closed-Loop AlgorithmJingguo Wang and Yangmin Li

This paper presents a kind of method for the inversekinematics of a 7-DoF arm installed on a mobile hu-manoid robot. Due to the redundancy, the CLIK viapseudoinverse method is used to solve the correspond-ing joint trajectories if the end-effector trajectory isgiven and the constraints of joint limits are applied tooptimize the redundancy.

16:50 - 17:10

Simultaneous Dynamic Scheduling andCollision-Free Path Planning for Multiple

Autonomous VehiclesShuai Yuan, Haye Lau, Dikai Liu, Shoudong Huang,Gamini Dissanayake, Daniel Pagac and Tim Pratley

This paper is about an integrated approach for dynamictask allocation and collision-free path planning in real-world industrial material handling environment, wheremultiple autonomous vehicles operate on a network ofpaths and where each path segment can only be occu-pied by one vehicle at a given instant.

Guoxiang

21


Networks and Communications III

Chairs: Huosheng Hu, Weihua ShengRoom: Guocui

15:30 - 15:50

Mechanical Feature Attributes for Modeling andPattern Classification of Physical Activities

Theodoros Theodoridis, Alexandros Agapitos, HuoshengHu and Simon Lucas

A rigorous investigation on the synergy of mechanicalattributes to engineer tactics for measuring human ac-tivity in terms of forces, as well as to provide indepen-dency and discrimination clarity of action recognitionusing linear and non-linear classification methodolo-gies from data mining and evolutionary computation,are the main objectives where this paper focuses on.Mechanical analysis is employed to mathematically de-scribe and model human movement by using a numberof mechanical features inspired mainly from KinematicsDynamics.

15:50 - 16:10

An Automatic Ontology Population with aMachine Learning Technique from

Semi-Structured DocumentsSeong-Bae Park

This paper proposes an automatic ontology populationmethod. The knowledge source for ontology populationused in this paper is web-tables. The most appropriateconcept within the ontology is determined by parse treekernel. Then, tables are populated as individuals ofconcepts. Through experiments, the proposed methodachieves 62.35% of accuracy.

16:10 - 16:30

Analysis of Road Traffic Capacity Based onMaximum Likelihood MethodYanfei Cai and Xiaoxiong Weng

Capacity is different with impact of conditions of road,traffic and operation environments. The paper arms toanalyses statistical relationship between capacity andaverage headway. We find a new distribution model ofheadway: lognormal distribution model. By the empir-ical data testing, the calculation deviation of capacityis only 0.22 percent.

16:30 - 16:50

Mobility Assisted Localization for Robotic SensorNetworks

Changhua Wu, Weihua Sheng, Yinig Zhang and SarojaKanchi

The accurate localization of sensor nodes in a mobilerobotic sensor network is important in many surveil-lance applications. Based on our previous work in sen-sor localization, this paper introduces a mobility as-sisted localization approach guided by network rigidityfor mobile robotic sensor networks. The rigidity test ofa network is based on a pebble game algorithm, thatdecides whether the network is uniquely localizable ornot.

16:50 - 17:10

Network Virtual Money Evolution Mode:Moneyness, Dynamics and Trend

Hui Peng and Yanli Sun

Network virtual money tends to evolve from original,primary to ameliorative, intermediate and advancedmode, eventually circulate in real world and be ex-panded by virtual loan granting. Virtual money evolu-tion could increase the attractiveness of virtual worldand benefit the subscribers and game operators simul-taneously.

Guocui

22


Computer Vision III

Chairs: Shane Xie, Xianmin ZhangRoom: Guose

15:30 - 15:50

A Robust Local Descriptor Method forRegistering Maori Artefacts using Colour Images

Danny Cheng, Shane Xie and Enrico Haemmerle

Two new local descriptor methods are presented whichmake use of colour images instead of greyscale imagesfor computing local descriptors. Experimental workconducted indicate that the proposed methods out-perform existing methods when registering images ofMaori artefacts with improvements in matching accu-racy of up to 10%.

15:50 - 16:10

Image Denosing by Curvature Strength DiffusionBaopu Li, Max Q.-H. Meng and Huaicheng Yan

Due to its great advantage that it can preserve im-age edges while reducing noise, the anisotropic diffu-sion open a new filed in image processing. However,as anis otropic diffusion is based on gradient, which issensitive to noise, it may not work efficiently especiallywhen the image contains a high level of noise.

16:10 - 16:30

Learning Model for Object Detection Based onLocal Edge Features

Xusheng Tang, Zhelin Shi, Deqiang Li, Long Ma and DanChen

We present a learning model for object detection thatuses a novel local edge features. The features are mo-tivated by the scheme that use the chamfer distanceas shape comparison measure. Adaboost is used tobuild an object detector. Experimental results showour method is fast and effective.

16:30 - 16:50

A Visual Inspection System for Surface MountedComponents Based on Color Features

Huihui Wu, Xianmin Zhang and Shiliang Hong

In order to inspect the surface mounted componentson PCBs, firstly, the features of the components wereanalyzed, then, a two-stages inspection process whichsynthesized the projection method and Bayes classifierwas presented. The experiment results have verifiedthe validity of this scheme in terns of recognition rateand speed.

16:50 - 17:10

Image-Based Visual Servoing Using ImprovedImage Moments

Sining Liu, Wen-Fang Xie and Chun-Yi Su

Visual servoing has played an important role in auto-mated robotic manufacturing systems, of which thereis a challenge on how to choose proper image featuresto enhance system performances. This paper addressessuch a challenge by proposing a method consisting ofan ameliorative image pre-processing algorithm and animproved Image Based Visual Servoing (IBVS) usingimage moments algorithm.

Guose

23


Information and Signal Processing I

Chairs: Chi-Man Pun, Jwu-Sheng HuRoom: Guosheng

15:30 - 15:50

Embedding Biometric Watermark on DocumentImage using Discrete Wavelet Transform

Loi-Tun Lam and Chi-Man Pun

In this research, signatories biometric fingerprint in dig-ital binary format as a watermark message will be em-bedded into a gray level document image by discretewavelet transform.

15:50 - 16:10

Image Quality Assessment Based on TheilInequality Coefficient and Discrete Wavelet

TransformJunfeng Li, Wenzhan Dai and Haipeng Pan

A novel image quality assessment based on the char-acteristics of the wavelet coefficients of images and thecorrelativity is proposed. The algorithm makes full useof perfect integral comparison mechanism of the correl-ativity and the well matching of discrete wavelet trans-form with multi-channel model of human visual system.

16:10 - 16:30

An Improved OFDM Phase Noise CancellationMethod

Jinlin Fu, Chunping Hou, Ke Li, Lei Yan and Shanlin Sun

A novel ICI self-cancellation method is proposed. Datasymbol are mapped onto pairs of adjacent subcarri-ers for the middle subcarriers and mapped onto pairsof symmetric subcarriers for the two end subcarri-ers. Compared with other ICI self-cancellation method,BER performance of the proposed method is much bet-ter.

16:30 - 16:50

Non-Synchronized H-Infinity Estimation ofDiscrete-Time Piecewise Affine Systems: An LMI

ApproachYahui Gao, Zhiyuan Liu and Hong Chen

This paper designs an H estimator for discrete-timepiecewise affine systems in the presence of external dis-turbance. The issue considered is that the transitions ofactual system state and its estimate may not be syn-chronized due to output noise and estimation errors.The results are formulated as LMIs.

16:50 - 17:10

Speech Enhancement for Mobile Phones Based onthe Imparity of Two-Microphone Signals

Jwusheng Hu and Mingtang Lee

We propose a speech enhancement system for mobilephones using pair microphones. The gain differencesof the sources between the two microphones are usedto obtain the speech absence probability. The resultsare substituted into an MMSE estimator in loudnessdomain. The performance is evaluated under two noisecases.

Guosheng

24


Poster Session III: Automation and Mechanisms


15:30 - 17:10

Simulation and Implementation of A Large InertiaElectro-hydraulic position control system

Jian Pan and Guanglin Shi

15:30 - 17:10

Algorithm of Variable Forward Step Size Planningin Freeform Surface Machining

Shitian Zhao, Dongbiao Zhao and Yingying Fu

A new algorithm for curve of tool path discretization ispresented to improve the precision of the forward stepsize. Results showed that the maximum CDE is notlocate on the middle point of the two adjacent pointsand the conventional simplified mid-point method isnot accurate.

15:30 - 17:10

A New Adaptive Motion Estimation AlgorithmLei Meng and Hang Li

Based on finite element method and genetic algorithmsdynamic mathematical model is established, and thesimulation of stress distribution around the defects ofsingle crystal nickel-based superalloysis also establishedwith ANSYS.

15:30 - 17:10

Shape and Area Computation of CooperativeWorkspace of Dual-Arm RobotYi Cao, Shijun He and Xiujuan Li

A robot of a dual arm in two-dimension was illus-trated. The common region of both arm workspaceswas viewed as the cooperative workspace, generated byMonte Carlo method and computer graphics. The areaof the cooperative workspace was estimated by proba-bility and statistics.

15:30 - 17:10

Design and Impacting Capability Research onDriving Device of Puncturing Mud RobotZhonglin Zhang, Xiufen Ye and Liquan Wang

The driving device of robot was designed and workprinciple is recounted and virtual assembly was fin-ished. Parameter equation was educed and effect tooutput capability was analyzed. Testing of impactingcapability was put up and impacting capability was val-idated.

15:30 - 17:10

SLCO and DLCO:Two Ontologies for Detectingand Resolving Schema and Data-Level Semantic

ConflictsJing Wen, Shidong Zhang and Zhongmin Yan

Despite the critical importance of semantic interoper-ability between heterogeneous databases, current ap-proaches have not been sufficiently effective and com-prehensive. We propose an Ontology-Based solution,which use two kinds of ontologies called Schema-levelConflict Ontology and Data-level Conflict Ontology(SLCO and DLCO).

Guowang

25


15:30 - 17:10

Virtual Prototyping of the New TypeHypocycloid Energy Transformation MechanismYunfeng Xue, Qungui Du, Xiaodong Huang and Junpeng

Zhu

For proposing a new type hypocycloid mechanism toactually realize motion transformation between the rec-tilinear motion to rotary motion, the 3D virtual proto-type, the kinematics and dynamics model were set up.It is conformed that calculation results are correct. Theanalytical models could be applied for intelligent con-trol strategies.

15:30 - 17:10

Design Optimization of a Geneva Mechanism forInternal Combustion Engine Application

Dan Zhang, Mike Reed, Beizhi Li, Zhen Gao and YunjianGe

The Geneva mechanism has been used for timing ap-plications such as clocks, watches and film projectorsso using the great timing features it possesses wouldbe ideal. This research explores a totally different in-ternal combustion design in automotive industry whichrevolves around the Geneva mechanism.

15:30 - 17:10

Multidisciplinary Joint Simulation Technology forServo Mechanism Analysis

Xufeng Tong, Jin Huang and Dongxia Zhang

The key technique of multidisciplinary joint simula-tion system is introduced. A novel multidisciplinaryjoint simulation platform for servo performance analy-sis is established. The data exchange and integrationof servo system dynamics, finite element and controlanalysis are realized. Finally, the application of jointsimulation platform is demonstrated.

15:30 - 17:10

Irradiation Degradation of Chloramphenicol,Thiamphenicol and Florfenicol with Electron

BeamJiaxin Zhou, Minghong Wu, Gang Xu, Ning Liu and

Qunli Zhou

Electron beam irradiation of chloramphenicol, thi-amphenicol and florfenicol was studied and the mainradiolysis products were determined. The degradationof chloramphenicol, thiamphenicol and florfenicol wereabove 98% at the dose of 20kGy. The concentrationof ions in aqueous solution increased and the pH valuedecreased. The degradation pathway was studied.

15:30 - 17:10

Experiments and Results of the SiliconMicromachined Gyroscope

Fuxue Zhang, Q. W. Yan, W. Zhang and L. F. Wu

This paper reports a multifunctional silicon microma-chined gyroscope for determining attitude of the rotat-ing carrier. Both the principle and the experiment ofthe gyroscope are presented to explain the multifunc-tion. This article explains the way to determine thedeflecting direction and deflecting position of the ro-tating carrier in the gravitation field. In the final part,the influence of temperature on determining attitude isdiscussed.

15:30 - 17:10

Research and Implementation of Mesh Mergencefrom Multi-View Point Cloud

Wenqiang He

Reconstruct 3D object shapes from multi-view pointcloud is one important task. A mesh mergence al-gorithm is presented. First, meshes are part-mergedeasily using zippering; second, the triangles in pontesexpand and degenerate to stitch the gap; at last, themesh is optimized to delete redundant triangles.

Guowang

26

TuesdayJune 23, 2009


27

Tuesday, June 23, 2009


10:20 - 12:00 Guoxing T1-1 Automation IV 29

Guoyun T1-2 Control Applications IV 30

Guoxiang T1-3 Mobile Robots I 31

Guocui T1-4 Mechatronic Systems I 32

Guose T1-5 Computer Vision IV 33

Guosheng T1-6 Information and Signal Processing II 34

13:30 - 15:10 Guoxing T2-1 Automation V 35

Guoyun T2-2 Control Applications V 36

Guoxiang T2-3 Mobile Robots II 37

Guocui T2-4 Mechatronic Systems II 38

Guose T2-5 Sensors I 39

Guosheng T2-6 Information and Signal Processing III 40

15:30 - 17:30 Guoxing T3-1 Automation VI 41

Guoyun T3-2 Control Applications VI 42

Guoxiang T3-3 Mobile Robots III 43

Guocui T3-4 Pattern Recognition I 44

Guose T3-5 Sensors II 45

Guosheng T3-6 Information and Signal Processing IV 46

28

Session: T1-1 Tuesday, June 23, 10:20 - 12:00

Automation IV

Chairs: Juing-Shian Chiou, Hong Bae ParkRoom: Guoxing

10:20 - 10:40

Robust and Non-Fragile Fuzzy H-Infinity Controlof Radar Gimbal Stabilization System with

Time-DelaySeung Taek Park, Hyoung Ho Lee, Jun Ki Kim and Hong

Bae Park

We describe the controller design method for nonlinearradar gimbal stabilization system with time-delay andpolytopic uncertainty. We show that the resulting fuzzycontroller guarantees the asymptotic stability and dis-turbance attenuation of the closed-loop system in spiteof controller gain variations within a resulted polytopicregion.

10:40 - 11:00

The Optimization of the Application of Fuzzy AntColony Algorithm in Soccer RobotJuing-Shian Chiou and Kuo-Yang Wang

This article provides a theory which is based on theFuzzy Ant Colony Optimization, and then uses thistheory to design an optical speed for the football robots,and then we also apply Ant Colony Optimization todesign its routes to avoid obstacles.

11:00 - 11:20

A Delay-Range-Dependent Approach to RobustH-Infinity Control for Uncertain Linear Systems

with Time-Varying DelaysHuaicheng Yan, Max Q.-H. Meng and Hao Zhang

Delay-range-dependent robust Hinfty control for un-certain systems with time-varying delays and param-eter uncertainties is investigated. Some new criteriaon stabilization and the existence of Hinfty controllerare proposed in terms of LMI. Numerical examples areprovided to demonstrate the effectiveness and the ad-vantages of the proposed method.

11:20 - 11:40

An Automatic Incremental Update Solution forMulti-Scale Spatial Database

Yaqin Ye, Bo Chen, Bo Wan and Shunping Zhou

In order to maintain real-time data in spatial database,a multi-method updating solution is presented based onMMS-IU updating model. The paper also proposed aset of technology routes about incremental updating,such as automatic matching, versions comparison andconflict detect.

11:40 - 12:00

Analysis of System and Process Based QualityManagement System and Evaluation ModelGenbao Zhang, Haifeng Zeng, Guoqiang Wang and

Gengbao Huang

This paper proposes a quality system evaluation meth-ods based on the system and the process method. Qual-ity management system (QMS) is break down intothree-layered structure. A model for evaluation of ef-fectiveness of QMS is established based on the three-layered structure of QMS. GAHP method is adoptedfor evaluation of QMS.

Guoxing

29


Control Applications IV

Chairs: Wen Jung Li, Ming ShaoRoom: Guoyun

10:20 - 10:40

Adjacent Grids Algorithm and DynamicsProgramming Realization for Minimum

Time-to-Climb TrajectoriesYali Chen, Xinmin Dong and Enlin Zu

This paper deals with the minimum time-to-climbproblem. The relationship between consumption timeand other states is obtained by disposing the aircraftequations of dynamics and motion. The time inter-val between adjacent grids in the vertical plane is fig-ured out. The minimum time cost is calculated by DPmethod.

10:40 - 11:00

Surface Spline Based Constructing Method forGeomagnetic Reference Map

Yukun Qiao, Shicheng Wang, Jinsheng Zhang, LihuaChen and Qi Zhang

Precise geomagnetic reference map is needed for geo-magnetic navigation and surface spline method is usedto construct small-scale geomagnetic reference map andtwo common-used interpolation methods are also usedto do comparisons. Results show that the constructingmethod of geomagnetic reference map based on surfacespline is feasible.

11:00 - 11:20

A Method of Controlling MTC SolidificationProcess by Cooling Threshold

Dongdong You, Wenfang Li, Ming Shao and Yuanyuan Li

A method of controlling MTC solidification process bycooling threshold was presented based on FEM simula-tion and experiments research. The 3D transient heattransfer simulation was done to analyze the influenceof the cooling threshold on the workpiece temperaturefield. The outcome provides a basis for selecting MTCparameters.

11:20 - 11:40

Identifications of Quality Parameters inPaper-Making Industry

Wenhao Shen, Xiaoquan Chen, Hongbin Liu and JinxingLiu

The work focuses on the multivariable and closed-loop identification of paper-making industrial pro-cesses. Through different noise-to-signal ratios, thepaper gives a conclusion that pre-filtration can im-prove the precision of closed-loop identification model.Proposition of a novel criterion to evaluate the identi-fication model is another conclusion.

11:40 - 12:00

Robust and Non-Fragile Fuzzy H-InfinityController Design for Discrete-Time Systems with

Parameter Uncertainties and Time DelayJune Won Lee, Hyung Ho Lee, Joon Ki Kim and Hong

Bae Park

In this paper, we show a controller design method fora class of discrete-time nonlinear systems described inT-S fuzzy model, which has uncertainties in state andinput. The robust and non-fragile fuzzy H controller isdesigned based on Lyapunov function theory, PDC andPLMI method.

Guoyun

30


Mobile Robots I

Chairs: Chien-Chou Lin, Jianda HanRoom: Guoxiang

10:20 - 10:40

Path Planning and Tracking for AutonomousUnderwater Vehicles

Bo He, Hongge Ran, Ke Yang, Luyue Huang andChunyun Ren

This paper discusses path planning and path trackingfor an AUV. The proposed path planning algorithm canproduce optimal safe path and has good real-time per-formance as well. Path tracking algorithm is to solveproblem how AUV tracks a variety of shaped path.Simulation results show the algorithms are effective.

10:40 - 11:00

Multiple Robots Formation Control Based OnReceding Horizon Optimization

Yuqing He and Jianda Han

A new two-level receding horizon multiple robot for-mation control strategy is proposed in this paper. Thisnew algorithm presents some attracting advantages, in-cluding the suboptimal formation behavior based onthe receding horizon optimization, the convergence en-sured by the GPMN structure, the good real time per-formance, and the reduced communicational burden.

11:00 - 11:20

The Structure and Defects Recognition Algorithmof an Aircraft Surface Defects Inspection Robot

Zhiwei Xing, Muhua Chen and Qingji Gao

The structure of mechanical and control system areproposed in part II. And a trajectory tracing controlalgorithm is given next. The rivets cracks identifica-tion algorithm is proposed in part IV. The experimentresult and the conclusion are provided at last.

11:20 - 11:40

A Hierarchical Path Planning of ManipulatorsUsing Memetic Algorithm

Chien-Chou Lin

A 2-stage memetic algorithm (MA) is proposed for thepath planning of manipulators. The first stage, a MAK-LINK based global planner, plans a trajectory whichthe end-effector of a manipulator should follows. Thesecond stage, a memetic algorithm with a non-randominitial population plans a series of configurations.

11:40 - 12:00

Design and Modeling of Unmanned TrimaranSurface Vehicles

Yan Peng and Jianda Han

The design, development, modeling and sea trials ofthe Unmanned Trimaran Surface Vehicles (UTSV) arepresented in this paper. A control system was devel-oped based on backstepping to guide the vessel to trackdesired trajectories based on the input of the sensors.Physical experiments were conducted to determine themaneuvering property of UTSV.

Guoxiang

31


Mechatronic Systems I

Chairs: Dan Zhang, Yunjiang LouRoom: Guocui

10:20 - 10:40

Design and Analysis of a Piano Playing RobotDan Zhang, Jianhe Lei, Beizhi Li, Daniel Lau and Craig

Cameron

This paper presents the development of a piano-playingrobot in order to provide people a mean of entertain-ment. The design and development of this researchinclude two parts: the design of a dexterous hand formanipulating a piano and a linear motion control sys-tem.

10:40 - 11:00

Topology Optimization of a Linear MotorActuated Parallel XY Stage

Jian Shen and Yunjiang Lou

Topology optimization technique is used to design ahigh-performance XY stage for next generation of semi-conductor manufacturing equipments. Instead of con-sidering single part’s performance, a topology optimiza-tion for parts with respect to performance of the overallmechanical system is proposed. A prototype was man-ufactured for verification.

11:00 - 11:20

A Measurement System Based on VirtualInstrumentation for Field Dynamic Balancing of

RotorsShulin Chen, Xiaopeng Xie and Peitian Cong

A network system for measuring the vibration causedby unbalance in the rotor is designed based on virtualinstrumentation. The influence coefficient method andmode-balancing method are used for balancing of therigid and flexible rotors. We developed a field dynamicbalancing instrument consisting of hardware and soft-ware components.

11:20 - 11:40

FEM Analysis and Experimental Verification ofthe Ultrasonic Transducer for Thermosonic

Flip-Chip Bonding MachineYi-Cheng Huang and Fu-Sheng Hsiao

Improving bonding efficiency of ultrasonic transducersplays an important role. Analysis of transducer in me-chanical vibration and electrical performance is con-cerned. Commercial ATILA software is used. Bestresonance frequency of the transducer was determinedwith impedance and laser Doppler meter. In-laboratorythermosonic bonding machine and characteristics oftransducer are presented.

11:40 - 12:00

Evaluation of Energy Harvesting by UsingPiezoelectric Unimorph Ceramics

Yung Ting, Hariyanto Gunawan, Bing-Kuan Hou andChong-Yu Huang

By using the piezoelectric direct effect, piezoelectric en-ergy harvesters hold the promise of providing an alter-native power generating device. Also, ambient vibra-tion is the focus to provide the amount of availablemechanical energy resource that can be converted intoelectricity by piezoelectric ceramics. Design and anal-ysis of the piezoelectric unimorph ceramic and electricconverter as well as efficiency of electromechanical con-version and energy storage are studied.

Guocui

32


Computer Vision IV

Chairs: Sergej Fatikow, Xiaojun WuRoom: Guose

10:20 - 10:40

A New Method for Visual Hull Computation fromImage Sequences

Peng Song, Xiaojun Wu and Michael Yu Wang

A roubst visual hull computaion method is addressedwhich is based on the polygonization of octree construc-tion. The approach use a new projection test whenbuilding octree construction and define an isofunctionwhose value represents the 3D distance to the visualhull to extract very smooth mesh with MC.

10:40 - 11:00

An Adaptive Weight Values Updating Mean ShiftTracking Algorithm

Sen Guo, Wei Liu, Xin Lu and Yongsen Liang

A novel adaptive weight values updating mean shifttracking algorithm is proposed, weight value of everypixel is updated according to variation of motion statecalculated by a group of Kalman filters. The result ofexperiments show it has advantage on reliability androbustness.

11:00 - 11:20

Measuring Structure Parameters and PulseEquivalents of a Double-Chained Visual

Mechanism on a Circular OrbitLiqiang Zhao, Lingfu Kong, Rong Jing and Yanhong Zhou

Double-chained visual mechanism on a circular orbitis a novel binocular visual platform. Measuring struc-ture parameters and pulse Equivalents of motors is akey question to ensure the accuracy of metric recon-struction of the scene. This paper describes an indirectstrategy based on vision measurement for it.

11:20 - 11:40

A New Method for Selecting Gradient Weight inIncremental Eigen-Background ModelingXiaoLong Lv, GuoLiang Zhao and Hao Meng

Background modeling is an important approach usedin motion detection. The background model shouldadapt to dynamic change of the environment and up-date quickly. In this paper, some improvements on in-cremental eigen-background modeling are made. A newmethod of selecting weight according to reconstructionerror is proposed. Compared with existing means, thismethod can not only model background effectively butalso more efficiently.

11:40 - 12:00

Vision Feedback for Automated NanohandlingSergej Fatikow, Christian Dahmen, Tim Wortmann and

Robert Tunnell

This paper presents different image processing meth-ods and algorithms, which are needed to enable thereliable automation of nanohandling processes. Theimaging sensor used is the scanning electron microscope(SEM). Tasks on image data from the SEM include ob-ject recognition, object tracking and depth estimation.All the algorithms are discussed.

Guose

33


Information and Signal Processing II

Chairs: Yong Yu, Huiyuan WangRoom: Guosheng

10:20 - 10:40

Graph Transformation with Variables forFormalizing Delegation Authorization of Workflow

Yonghe Wei

This article presents specification formalisms for work-flow delegation policies using graph transformationwith variables. In this research, authorization statesare represented by graphs and state transition by graphtransformation with variables. We present an algo-rithm to automatically check and eliminate conflictsbetween rules and constraints.

10:40 - 11:00

A Novel Information Fusion Algorithm forGPS/INS Navigation System

Xiaochuan Zhao, Qingsheng Luo, Baoling Han and XiyuLi

This paper proposes a novel second order fuzzy self-adaptive filter algorithm for GPS/INS navigation sys-tem. Choosing the differences of location and velocityinformation provided by GPS receiver and INS deviceas the inputs, this filter modifies the regulation factorbased on the residual sequence statistical informationand PDOP (Position Dilution of Precision )provided byGPS receiver to correct the outputs of INS device usingfuzzy logic

11:00 - 11:20

Batch Algorithms of Matching Pursuit andOrthogonal Matching Pursuit with Applications

to Compressed SensingHuiyuan Wang, Jose Vieira, Paulo Ferreira, Bruno Jesus

and Isabel Duarte

Batch algorithms of matching pursuit (MP) and or-thogonal matching pursuit (OMP) are proposed . Inboth algorithms, the original iteration procedures aremodified in the following way. Instead of finding a sin-gle best-matched atom in each iteration, we find a num-ber of best-matched atoms to speed up the convergence,- a batch version. Then optimized coefficients are com-puted based on these atoms. Numerical simulations inthe application to compressed sensing show that theproposed algorithms are much faster than the originalones, while similar reconstruction precision is obtained.

11:20 - 11:40

Sensing Information Forecasting for Power AssistWalking Legs Based on Time Series Analysis

Zhaojun Sun, Yong Yu and Yunjian Ge

In order to improve the dynamic response of the PowerAssist Walking Legs (PAWL), we propose a novel sens-ing information forecasting algorithm based on the timeseries analysis. The forecasting algorithm is designedto be used on-line to ensure the real-time quality of thewhole system.

11:40 - 12:00

A New Public Watermarking Algorithm for RGBColor Image Based on Quantization Index

ModulationJie Nie and Zhiqiang Wei

This paper proposes a novel watermarking algorithmwhich chooses the margins of corresponding DCT coef-ficients selected from any two of the three color channelas the signal constellation and embeds binary water-mark image into it. The openness of algorithm is en-sured by the alternate selections of different color DCTcoefficients

Guosheng

34


Automation V

Chairs: Yisheng Guan, Zhenqiang YaoRoom: Guoxing

13:30 - 13:50

Modelling for Athwartships Trim of Ship Balanceand Actuator with Transferring Liquid Among

TanksMeng Tang and Wenshang Nong

In the paper, a model of ship balance for athwartshipstrim is established, the actuator based on the trans-ferring Liquid among Tanks for ship balance controlis also involved and built. According to those systemmodels, the ship balance performance and dynamic bal-ance process are investigated and analyzed with theorycalculation and simulation.

13:50 - 14:10

A Revised B Spline Interpolation Algorithm ofCNC Machining

Lei Luo, Jun Hu, Fang Liu and Zhenqiang Yao

An revised algorithm of cubic B spline curve interpo-lation is discussed. The tangential vectors are used toestablish the curve equations. The trajectory and fee-drate profile can be generated simultaneously and thesimulation results show that the algorithm has high cal-culation efficiency and meet the demands of feedratesmoothing.

14:10 - 14:30

A Versatile Automatic Welding System andApplication of Train Hook Buildup Welding

Hongxin Shi, Jinhong Zhu, Lianmei Song, Xiaoping Zouand Jian Han

This paper designed a versatile automatic welding ma-chine. Its mechanical system includes workbench mech-anism, adjusting mechanism of welding gun and revolu-tion mechanism. There are two choices for the controlsystem, based on PLC or IPC separately. Experimentsshowed that reasonable welding was achieved, and itcan improve work conditions.

14:30 - 14:50

Design of Human-Machine Interaction Moduleand the Communication of Control System

Xin Guo, Xiuyun wang and Xiaoyun Xu

This paper mainly introduces the design of the Human-machine interaction module in a control system basedon CAN (Controller Area Network) bus, and the com-munication of the control system with CAN bus. Theadvanced AVR microcontroller is used to transmit andhandle the data in the Human-machine interactionmodule, in which ARM microprocessor and LED screenare used to achieve the show of data and the result fromthe controlled parts.

14:50 - 15:10

Optimization Design of Lather-Beds Based onFEA

Dongmei Li and Yisheng Guan

In this paper, we present three-dimensional model-ing and finite element analysis methods for the opti-mization design of CNC lathes. We use PRO/E andPRO/MECHANICA to build three-dimensional mod-eling and to optimize the structure of lathe-beds. Thefinal modal analysis shows that the presented optimaldesign is feasible and can produce a better structuralperformance.

Guoxing

35


Control Applications V

Chairs: Fan Yu, Rudiger DillmannRoom: Guoyun

13:30 - 13:50

Research on Accuracy Improvement of INS withContinuous Rotation

Qi Nie, Xiaoying Gao and Zhun Liu

The INS rotation in this paper as an important tech-nique is presented to remarkably improve the perfor-mance of navigation system. Simulation results indi-cate that, compared with the static state, the proposedmethod attenuates the navigation errors caused due toinertial sensor and greatly enhances the navigation ac-curacy.

13:50 - 14:10

Two Classes of Useful Order Reductionapproaches in Engineering Practice

Wei Tang, Xi Wang, Yuyan Chao and Lifeng He

In terms of the basic principles of step response model-ing and moment modeling, graphical and moment or-der reduction approaches are proposed. The parameterdetermination procedures of the low-order approximat-ing models are illustrated and comparisons are done bysimulations to verify the approximating abilities of theproposed method.

14:10 - 14:30

Optimal Model Following Control of Four-WheelActive Steering Vehicle

Bin Li and Fan Yu

Four-wheel active steering (4WAS) is investigated inthis paper. A model following control structure isadopted in which feedback controller is designed us-ing optimal control theory to minimize the tracking er-rors between vehicle model and reference model. Thecomputer simulations are performed to evaluate the ef-fectiveness of proposed controller.

14:30 - 14:50

Segmentation and Approximation of Objects inPointclouds using SuperquadricsMarcus Strand and Rudiger Dillmann

The abstraction from raw pointclouds to high level rep-resentations is a necessity in real world robotic applica-tions. This concerns the semantic description of house-hold objects as well as the handling of complex ob-jects (like grasping). This paper describes a methodfor the manual segmentation of objects from scenesand the automated approximation of objects with highlevel descriptors. For both tasks solutions based onsuperquadrics are presented.

Guoyun

36


Mobile Robots II

Chairs: Hanxu Sun, Huaqing MinRoom: Guoxiang

13:30 - 13:50

Motion Control of a Novel Spherical RobotEquipped with a Flywheel

Qingxuan Jia, Hanxu Sun, Yili Zheng, Hongyu Cao andHongyi Li

A spherical robot equipped with a high-rate flywheel(BYQ-V) is presented, the gyroscopic effects of the fly-wheel can enhance the stability of the robot. The me-chanical structure, control system and simplified dy-namic model are given. A LQR controller and PDcontroller are designed. The controllers are validatedthrough experiment.

13:50 - 14:10

Virtual Simulator with Mobile Robot RapidPrototyping for Navigation Systems

Leonimer Flavio de Melo and Jose Fernando MangiliJunior

This paper presents the virtual environment implemen-tation for project simulation and conception of supervi-sion and control systems for mobile robots, that are ca-pable of operate and adapting in different environmentsand conditions. The purpose of this virtual system isto facilitate the development of embedded architecturesystems.

14:10 - 14:30

A Component-Based Hybrid Testbed forMulti-Mobile Robots

Jinhui Zhu, Qilun Zheng, Yingju Liang, Mingjie Liangand Huaqing Min

This paper describes a component-based hybrid testbedfor multi-mobile robots. On the testbed, real and vir-tual robots operate together in an augmented realityenvironment. The simulation server and robot soft-ware clients are built by assembling different kinds ofcomponents. Experiments show the tesbed is flexibleand suitable for multi-mobile robots.

14:30 - 14:50

Multi-Ultrasonic-Sensor Grid Map Building Basedon D-S Evidence Theory

Hongyu Cao, Hanxu Sun, Qingxuan Jia and Yili Zheng

A method of unstructured unknown environmentgrid map building using ultrasonic sensors based onDempster-Shafer evidence theory is proposed. Theproblem that evidence theory can’t be applied to in-formation fusion under certain circumstances and ev-idence theory has counter-intuitive behaviors in somecases is avoided by an approximate process algorithm.

14:50 - 15:10

Vision-Based Ball Recognition for Soccer Robotswithout Color Classification

Huimin Lu, Hui Zhang, Shaowu Yang and Zhiqiang Zheng

A novel method is proposed to recognize the FIFA ballfor soccer robots. The ball can be recognized by de-tecting the ellipse imaged by the ball after deriving theimaging character of omni-directional vision. A per-spective camera is added to assist recognizing the ballby Sobel filter and Hough Transform.

Guoxiang

37


Mechatronic Systems II

Chairs: Aiguo Ming, Wei-Hsin LiaoRoom: Guocui

13:30 - 13:50

A Component Model and Layered SystemArchitecture for Reconfigurable CNC Systems

Shaohua Du, Dong Yu, Yi Hu and Yan Huang

In order to solve the growing complexity of CNC sys-tems, this paper presents a component model andlayered system architecture for reconfigurable CNCsystems, which addresses the functional and non-functional requirements of CNC systems. The proposedmodel improves the reusability of system software. Thelayered architecture also facilitates the implementationof some advanced functions.

13:50 - 14:10

Fault Diagnosis of Gearbox by Fast ICA andResidual Mutual Information Based Feature

ExtractionWeidong Jiao

The ICA was applied to fusion of multi-channel mea-surements by sensors. Furthermore, statistical featureshigher than second order, which embedded into themeasurements, were captured. Then, certain typicalneural classifier was trained for the final pattern clas-sification. The experimental results show effectivenessof the proposed method.

14:10 - 14:30

EPS Control Technology Based on Road SurfaceConditions

Yan Zhao, Yi Cheng and Hong Wang

Information regarding road surface conditions can beseparated by frequency. These frequencies can be uti-lized in designing an EPS system more effectively incomparison to a conventional HPS system. A means ofcombining EPS design with information based on roadsurface conditions to create a robust EPS system hasbeen achieved.

14:30 - 14:50

Development of a Small Tracking Camera Systemfor Mobile Platforms

Tomohisa Aruga, Naoyuki Wada, Aiguo Ming, NorioKurakane, Motoo Satoh and Hideno Takeuchi

A small tracking camera system has been developedby authors. The purpose of the tracking camera sys-tem is both to stabilize the camera and to track thetarget simultaneously. This paper describes the sys-tem configuration, the design of controller and sensorsystems, and the experimental results on the trackingperformance.

14:50 - 15:10

An Improved Self-Powered Switching Interface forPiezoelectric Energy Harvesting

Junrui Liang and Wei-Hsin Liao

In piezoelectric energy harvesting, by using the nonlin-ear technique named synchronized switching harvest-ing on inductor (SSHI), the harvesting efficiency canbe greatly enhanced. In this article, a modified cir-cuitry and an improved analysis for the self-poweredSSHI are proposed. They lead to better design andunderstanding to this switching interface.

Guocui

38


Sensors I

Chairs: Xianmin Zhang, Shuanghui HaoRoom: Guose

13:30 - 13:50

Lubricant Film Thickness Measurement UsingFiber-Optic Michelson Interferometer and

Fiber-Optic Displacement SensorYuping Chen, Xiaodong Zhang, Ping Zhang and

Chunxiang Liu

This paper focus on a new detection approach using afiber-optical Michelson Interferometer combined with afiber-optical displacement sensor for the lubricant filmthickness measurement.

13:50 - 14:10

An Effective Binocular Vision-Based SensingApproach for IAUV

Xinqian Bian, Xiaojuan Wang and Wei Zhang

A binocular sensing approach for IAUV (InterventionClass AUV) is proposed using texture-control basedpyramid NCC to extract target region or outline, andtarget range. A series of sub-methods were used toquicken the approach and improve its accuracy. Sim-ulative and water tank experiments were conducted tovalidate the approach.

14:10 - 14:30

Distributed Uncorrelated Optimal FusionAlgorithm and Its Application in Estimation of

Paper Basis WeightXuebo Jin and Yuesong Lin

In practice, the state supervision of paper machine isgenerally obtained by the same kind of sensors. Forthis special multisensor system, distributed uncorre-lated optimal fusion algorithm is received by avoidingcomputing correlated estimation covariance based onthe matrix operation and is applied in estimation ofpaper basis weight system.

14:30 - 14:50

A High Speed AOI Algorithm for ChipComponent Based on Image Difference

Hongwei Xie, Yongcong Kuang and Xianmin Zhang

The paper uses a SAM technique to get the templateof a component. A high speed alignment method isproposed to adjust the positionof component. Basedon image differences, some inspection rules were givento determine the defect type. The study is useful forpractical applications.

Guose

39


Information and Signal Processing III

Chairs: Zesheng Tang, Guanghua ZongRoom: Guosheng

13:30 - 13:50

Application of Wavelet and Hilbert Transform inthe Detecting Parameter Recognition of Box Milk

QualityXianjiang Shi, Qiang Jing and Xinjie Zhao

Application of Wavelet and Hilbert Transform in theDetecting Parameter Recognition of Box Milk QualityXianjiang Shi, Qiang Jin and Xinjie Zhao AbstractThewavelet denoising principle combined with the Hilberttransform principle is applied in the detecting param-eter recognition of box milk quality under the noise,which can improve the detection accuracy and makethe boxed liquid milk quality accuracy close to the the-oretical value with the noise.

13:50 - 14:10

An Improved Self-Adaptive TrackingDifferentiator

Guohui Qiao, Minglei Sun, Guanghua Zong andShouzhong Li

The performance of traditional Tracking Differentiatorwill decline when tracking great changing signals. Thispaper presents a novel self-adaptive second-order TD.The result showed this algorithm could effectively re-strain oscillations when input signals changed in a lowrate, and guarantee a small phase shift when the inputsignals varied rapidly.

14:10 - 14:30

An Algorithm of Small and Dim Target Detectionin Deep Space BackgroundHong Zhang and Yicheng Bai

In this article, a method of image registration basedon Feature Space of Distance (FSD) between points isfirstly introduced into dim and small target detectionin deep space background. This algorithm uses fea-ture space to calculate the transform parameters andrealizes the detection through the suppression of thebackground.

14:30 - 14:50

Identification of Multi-Layered StructureProperties Using Wavelet-Fractal Dimension of

Ultrasonic DataDun Yi, Jianhui Chen, Guanglong Wang, Xiaohong Shi

and Zhangsui Xu

This paper present a wavelet-fractal dimension ap-proach for extracting feature from ultrasonic non-destructive evaluation (NDE) data of a test multilayeradhesive structure specimen. It is believed that the fea-tures extracted via the method outlined in this paperprovide considerable promise in the area of the test ofmultilayered structure.

14:50 - 15:10

A Non-Uniform Rectangular Partition Coding ofDigital Image and its Application

Kin Tak U, Zesheng Tang and Dongxu Qi

In this paper, a novel method for image coding based onnon-uniform rectangular partition is proposed. Basedon it, an effective scheme of information disguise is im-plemented and some experimental examples are illus-trated to prove that the quality of the re-constructedimage and the coding speed are all satisfactory.

Guosheng

40


Automation VI

Chairs: Alexander Lebedev, Qingke YuanRoom: Guoxing

15:30 - 15:50

Safety Monitoring and Management System forFluid Catalytic Cracking (FCC) Process

Laihua Fang and Zongzhi Wu

Procedures of Hazard identification, risk evaluation ofthe FCC process are presented for the design and de-velopment of a safety monitoring and management sys-tem. A novel structure of the system is proposed. De-sign of functions, which cover parameters monitoring,safety analysis, video monitoring, early-warning, safetymanagement, etc, is explored.

15:50 - 16:10

Multi-Channel Adaptive VSS with the SlidingSurfaces Adjustment for the Control of

Nonstationary Dynamic ObjectAlexander Lebedev and Vladimir Filaretov

The method of the synthesis of multi-channel adap-tive variable structure system with the sliding modefor the centralized control of spatial motion of the non-stationary linear object is developed in this paper. Theconditions of the existences of stable sliding mode areobtained and strictly proved. The new law of the adap-tive adjustment of the position of sliding hyper-surfacesin each control channel is proposed and mathematicallysubstantiated.

16:10 - 16:30

A New Mechanism for Boring of Noncircular Holeand its Performance SimulationsKai Zhang, Quan Yang and Jun Yu

A revolving magnetic mechanism composed of a statorand rotor has been designed. The simulations showthe magnetic force is little while there are only biascurrents. The influences of bias currents to magneticforces have been simulated and calculated theoretically,and this would be useful to design such mechanism.

16:30 - 16:50

Theoretical and Experimental Study of SiliconMicromachined Gyro for Coning Motion of

Spinning ProjectileQingwen Yan, W. Zhang, L. F. Wu and F. X. Zhang

AbstractMany theoretical studies prove that the rategyro can be used for navigation system of the spinningprojectile, but these studies are insufficient experimen-tal proofs under condition of the coning motion of thespinning projectile. In this paper, the motion equa-tion of spinning projectile including coning motion andits numerical results are obtained. The silicon micro-machined rate gyro is developed to sense the rotationfrequency.

16:50 - 17:10

A Products Integrated and Collaborative DesignMethodology Based on Virtual Product

PrototypesQingke Yuan, Fengyang Xu and Dahui Liu

A Product Integrated & Collaborative Design method-ology based on virtual product prototypes (PICD) isexplored. In PICD, a product master model is used asa shared information database and a virtual productprototype is used to detect the products performanceby simulating the products working process and inter-active using process.

Guoxing

41


Control Applications VI

Chairs: Xuedong Chen, Wei JiRoom: Guoyun

15:30 - 15:50

A Light-Weight Car Navigation Algorithm forHigh Speed Agents using Wireless Landmark

Mersedeh Sanjabi, Somayyeh Maabi, Ali Jahanian andSirvan Khalighi

In this paper, a lightweight wireless landmark-basedcar navigation algorithm (LWCN) is presented whichcan be efficiently used in real-time systems. We imple-mented the LWCN on a real-time MIPS-based embed-ded system and analyzed its accuracy and efficiency invarious states, especially for high speed movements inreal roads.

15:50 - 16:10

Cascade Servo Control for LOS Stabilization ofOpto-Electronic Tracking Platform -Design and

Self-TuningWei Ji, Qi Li, Bo Xu, Junjun Tu and Dean Zhao

A dual speed loop cascade control is presented in opto-electronic stabilized system. The system performanceis compared with single loop structure. The inner loopadopts PI and a time optimal self-tuning PID is devel-oped in outer loop. Experimental results indicate thatthe proposed method can achieve higher precision andis effective.

16:10 - 16:30

Design of an Intelligent SMS-based RemoteMetering System

Md. Wasi-ur- Rahman, Mohammad Tanvir Rahman,Tareq Hasan Khan and S. M. Lutful Kabir

AMR is a state-of-the art technology for reading elec-tric, gas or water meter readings automatically fromremote places without any human intervention. In thispaper, a technique for remotely reading electricity me-ter readings using SMS has been illustrated. ExistingGSM networks have been used for sending and receiv-ing SMS.

16:30 - 16:50

Investigation on Controllability of aMagnetorheological Gun Recoil Damper

Hongsheng Hu, Jiong Wang, Suxiang Qian and XuezhengJiang

At present, a systematic architecture has still notbeen formed, including its structure design, dynamic-modeling and controlling method of a MR damper sub-jected to impact load. Its primary purpose of this studyis to provide a comprehensive investigation on the con-trollability of a Magnetorheological (MR) gun recoildamper.

16:50 - 17:10

Dynamic Characteristics of Aerostatic Bearings inNano-Precision Stage

Yixi Ye, Xuedong Chen and Xin Luo

In this paper, the dynamical performance of precisionstage with an annular aerostatic bearing is investigatednumerically and experimentally. It is discussed thathow different design and working condition of the aero-static bearing affects the dynamical performance ofnano-precision stage.

Guoyun

42


Mobile Robots III

Chairs: Huosheng Hu, Yan MengRoom: Guoxiang

15:30 - 15:50

Adaptive Unscented Kalman Filter for Deep-Seatracked Vehicle Localization

Hongqian Zhu, Huosheng Hu and Weihua Gui

Abstract This paper presents an integrated navigationmethod based on adaptive unscented Kalman filters(AUKF). Taking into account the influence of measure-ment data delay, AUKF fuses the information from along base line (LBL) sonar localization system and thedead-reckoning data to perform the state estimation.Experimental results show that AUKF has better lo-calization accuracy than a normal UKF for a deep-seatracked vehicle (DTV).

15:50 - 16:10

Probabilistic Localization Methods of a MobileRobot Using Ultrasonic Perception System

Lei Zhang and Rene Zapata

We propose three probabilistic approaches to solve theglobal localization problem and the kidnapped robotproblem. They are the hybrid Grid-MCL algorithm,sampling in Similar Energy Regions (SER) and thecombination approach with adaptive samples. The va-lidity of our approaches is verified through extensivesimulations employing ultrasonic perception system.

16:10 - 16:30

Coal Mine Detect and Rescue Robot TechniqueResearch

Junyao Gao, Xueshan Gao, Jianguo Zhu, Wei Zhu, BoyuWei and Shilin Wang

This paper introduces a coal mine detect and rescuerobot. It goes into explosion environment and detectsgas content, temperature, and carry some food andmedicine to people pin down in disaster. The mainproblem of it is weight than ordinary robot, communi-cate in turn tunnel, explosion-proof structure.

16:30 - 16:50

Terrain Feature Localization for Mobile Robots inOutdoor Environments

Xiaorui Zhu and Mark Minor

A novel terrain feature localization technique is pro-posed in this paper to allow the robot to identify itslocation relative to measurable terrain characteristics.In the example of a two-axle wheeled mobile robot, aterrain inclination map is extracted from a given topo-graphical map along a specific path. An EKF is usedto fuse the measurement data with the robot motionbased on the extracted terrain map. Simulations vali-date the proposed terrain localization technique.

16:50 - 17:10

Dynamic Multi-Robot Task Allocation forIntruder Detection

Yuyang Zhang and Yan Meng

In this paper, we propose a decentralized multi-robot/multi-sensor system for intruder detection inperimeter defense. Fiber optic sensors are used as cue-ing sensors to robots. A shame-level based dynamictask allocation algorithm is proposed for intruder track-ing, and a gap-based algorithm is proposed for self-deployment of the remaining robots.

17:10 - 17:30

Active Particle in MCL: an Evolutionary ViewHuaqing Min, Huan Chen and Ronghua Luo

This paper develops an efficient algorithm whichputs the process of Monte Carlo Localization in theCLONAL framework, and utilizes Particle Swarm Op-timization to improve the mutation process. The keyidea is to carry out a heuristic searching step on theparticles generated in MCL.

Guoxiang

43


Pattern Recognition I

Chairs: Zuyuan Wang, Qing HeRoom: Guocui

15:30 - 15:50

Unusual Pattern Detection Based on HyperSurface and Minimum Spanning Tree

Qing He, Jincheng Li, Weizhong Zhao and Zhongzhi Shi

In this paper, we propose an approach for discover-ing unusual observations. We firstly apply an unsuper-vised version of Hypersurface classification algorithm togain the separating hypersurface. In the case of localdensity, we additionally search the Minimum SpanningTree. The subdividing is proceeded according to thedomain knowledge.

15:50 - 16:10

Mean Shift Segmentation Applied into ADS40Data for Automatic Tree-Layer Detection

Zuyuan Wang, Ruedi Boesch, Lars Waser and ChristianGinzler

Our research aim is to interpret the objective andmeasurable NFI forest definition by using automaticcomputer-vision based methods. Preliminary experi-mental results show the ability of mean-shift segmen-tation method combining with curvature feature fromALS for automatic forest detection.

16:10 - 16:30

A New Fast Chinese Visible Human Brain SkullStripping Method

Yunjie Chen, Jianwei Zhang and Sunfeng Wang

We use adapted Gauss Mixture model as a promisingstarting point for a sophisticated segmentation frame-work of color images within 3-dimensions. For the effectof the fake grey matters in CVH brain data, a properimage preprocessing strategy turned out to be neces-sary for accurate and robust segmentation results.

16:30 - 16:50

Application of Support Vector Machine to AppleRecognition Using in Apple Harvesting Robot

Jinjing Wang, Dean Zhao, Wei Ji, Junjun Tu and YingZhang

For improve recognition accuracy and efficiency, Clas-sification method based on support vector machine isdeveloped for recognition of fruit in apple harvestingrobot. Images segmentation based on region growingand color properties is done. Experimental results in-dicate that the proposed method is effective in classifi-cation performance and recognition rate of apple.

16:50 - 17:10

Image Retrieval of Wood Species by Color,Texture, and Spatial Information

Haipeng Yu, Jun Cao, Wei Luo and Yixing Liu

A method that integrates the color, textural and spa-tial information is presented for wood images retrieval.Hue, saturation, value, contrast, angular second mo-ment, sum of variances, long run emphasis, fractal di-mension and wavelet energy proportion are extracted,and used to retrieve species. The results show thatretrieval effectiveness can be improved.

Guocui

44


Sensors II

Chairs: Zude Zhou, Yunjian GeRoom: Guose

15:30 - 15:50

An Improved Harmonic Detection Optical FiberGas Sensor

Jiming Sa, Zude Zhou, Gang Zhang and Youping Chen

Mathematical model of optical fiber gas sensor basedon difference-harmonic detection was presented and an-alyzed, and structure of the sensor was designed. Byusing this method, systems ability of detecting 2nd har-monic component is enhanced, and systems resolvingpower is increased too.

15:50 - 16:10

A Novel Ultrasonic Ranging System Based on theSelf-Correlation of Pseudo-Random Sequence

Xiaochuan Zhao, Qingsheng Luo, Baoling Han and XiyuLi

A novel ultrasonic ranging system based on the self-correlation of pseudo-random sequence is designed.Modular design is applied in this ultrasonic rangingsystem, which can measure the ultrasonic propagationvelocity and transit time accurately, and then calcu-lates the obstacles distance. Low power consumptionand high performance TMS320VC5509A DSP is usedas the ultrasonic ranging systems signal processor.

16:10 - 16:30

An Information Theoretic Approach BasedKullback-Leibler Discrimination to Multiple

Target TrackingYifan Xu, Yuejin Tan, Zhenyu Lian and Renjie He

This paper applies the Kullback-Leibler divergence formyopic sensor resource allocation. By taking the ex-pected Kullback-Leibler discrimination as the informa-tion gain, the best sensor action is decided by maxi-mizing the expected information gain. The proposedalgorithm is compared with several other methods inthe experiments.

16:30 - 16:50

A Novel Thin Six-Dimensional WristForce/Torque Sensor with Isotropy

Qiaokang Liang, Yunjian Ge, Quanjun Song and Yu Ge

Aim to decrease the additional torque originated fromthe height of the sensors, we design a thin six-dimensional force senor which is only 15mm high. Thesensor has a simple geometry and possesses the advan-tages of configurational simplicity, isotropic and highsensitivity.

16:50 - 17:10

Design of Networked Control System Based onWireless Sensor Networks

Hongjun Li, Xun Li, Shen Jie and Hongxu Ma

Serving as backbone of control applications, WSNs willenable an unprecedented degree of NCS. In the pa-per we analyze and design a networked control systemwhere communication between sensors, controller, andactuator takes place over WSNs. A state predictive andstate estimation based on the Extended Kalman Filteris presented.

Guose

45


Information and Signal Processing IV

Chairs: Jwu-Sheng Hu, Chi-Man PunRoom: Guosheng

15:30 - 15:50

Invariant Shape Representation by Radon andWavelet Transforms for Complex Inner Shapes

Wenli Yao and Chi-Man Pun

This paper proposes a novel and effective invariantshape representation by Radon and stationary wavelettransforms for images with complex inner shapes. Theproposed method is invariant to general geometricaltransformations.

15:50 - 16:10

High-Resolution Imaging using a WidebandMIMO Radar System

Dangwei Wang, Niejing Duan, Xiaoyan Ma and Yi Su

In this paper we propose an imaging method via wide-band multiple-input multiple-output radar to reducethe hardware complexity of the system. Compared tothe narrowband MIMO imaging system, every arrayelement transmits and receives simultaneously in ourarray configuration, and therefore, the hardware com-plexity can be significantly reduced.

16:10 - 16:30

Signal Pattern Analysis of High Speed RotationalArc Sensor in GMAW

Yonghua Shi, Songsheng Zeng and Guorong Wang

A geometry model of weld bead profile and torch rotat-ing has been developed. The simulated current wave-forms are consistent with welding experimental currentwaveforms. The results show that the deviation of thewelding torch is in proportion with the asymmetry ofthe current waveform in each corresponding arc rota-tional cycle.

16:30 - 16:50

Speech Enhancement Using Transfer FunctionRatio Beamformer and Matched Filter Array

Jwu-Sheng Hu and Chia-Hsing Yang

This paper develops a speech enhancement approach toextract desired speech signal from the corrupt observa-tions. The proposed method uses transfer function ra-tio beamformer, H infinite adaptive filter algorithm andmatched filter array to perform speech enhancement aswell as dereverberation at two stages.

16:50 - 17:10

An Image Enhancement Algorithm for ScreeningMammograms in the Multiscale Laplacian

PyramidXiaoming Liu, Jinshan Tang, Zhilin Feng and Zhaohui

Wang

A multiscale contrast enhancement algorithm based onLaplacian Pyramid is developed to enhance the con-trast of the mammograms. An image is first decom-posed into a multi-level Laplacian Pyramid and a mul-tiscale contrast measure is used to modify the coeffi-cients iteratively level by level and the enhanced imageis obtained at the lowest level.

Guosheng

46

WednesdayJune 24, 2009


47

Wednesday, June 24, 2009


10:20 - 12:00 Guoxing W1-1 Intelligent Control I 49

Guoyun W1-2 Intelligent Systems I 50

Guoxiang W1-3 Mobile Robots IV 51

Guocui W1-4 Pattern Recognition II 52

Guose W1-5 Sensors III 53

Guosheng W1-6 Information and Signal Processing V 54

13:30 - 15:10 Guoxing W2-1 Intelligent Control II 55

Guoyun W2-2 Intelligent Systems II 56

Guoxiang W2-3 Parallel Robots II 57

Guocui W2-4 Pattern Recognition III 58

Guose W2-5 Sensors IV 59

Guosheng W2-6 Information and Signal Processing VI 60

15:30 - 17:10 Guoxing W3-1 CAD/CAM I 61

Guoyun W3-2 Intelligent Systems III 62

Guoxiang W3-3 Bio-Robots 63

Guocui W3-4 Mechanisms 64

Guose W3-5 Human Robot Interaction 65

Guosheng W3-6 CAD/CAM II 66

48

Session: W1-1 Wednesday, June 24, 10:20 - 12:00

Intelligent Control I

Chairs: Wen-Jer Chang, Lifu LiRoom: Guoxing

10:20 - 10:40

Neural Network Adaptive Control ofHigh-Precision Flight Simulator: Theory and

ExperimentsHongjie Hu, Ping Zhan and Dedi Li

This paper developed a control scheme of neural net-work based on feedforward and PD control for high-precision flight simulator.A RBFNN controller wasused,and the iterative algorithm of RBFNN parametersis got by Lyapunov stability theory.The effectiveness ofthe proposed control scheme is evaluated by simulationand experiments.

10:40 - 11:00

Nonlinear Internal Model Control Using NeuralNetworks for Gas Collectors of Coke Oven

Hongxing Li, Yinong Zhang and Xuetao Wu

An internal model control using neural networks forthe pressure system of gas collectors of coke oven ispresented in this paper. The neural model of the sys-tem is identified by genetic algorithm. Another neuralnetwork is trained to learn the inverse dynamics of thesystem as a nonlinear controller.

11:00 - 11:20

Multi-Objective Flexible Job Shop ScheduleBased on Improved Ant Colony Algorithm

Li Li and Keqi Wang

A method for solving multi-objective flexible job shopscheduling problem based on improved ant colony algo-rithm is presented in this paper. The algorithm we pre-sented is validated by practical instances. The resultsobtained have shown the proposed approach is feasibleand effective for the multi-objective flexible job shopscheduling problem.

11:20 - 11:40

Hardware-in-Loop Simulation Method forElectronic Stability Program Based on Virtual

Integrated TechnologyLifu Li and Jing Hong

Aiming at the development of ESP, HILS methodbased on virtual integrated technology, which combinesvirtual model by ADAMS/Car, virtual controller bySimulink, and LabVIEW platform, is introduced. Theprinciple and structure of this method are explained.The HILS system for ESP is developed. Experimentsresults are analyzed and compared.

11:40 - 12:00

Passive Fuzzy Controller Design for a Model Carvia Discrete T-S Fuzzy Model with Multiplicative

NoiseWen-Jer Chang, Min-Wei Chen and Cheung-Chieh Ku

This paper deals with steering control problem of acomputer simulated model car with fuzzy control ap-proach. For simulating the real environment, thestochastic behavior of system is considered as multi-plicative noise term. In addition, the external distur-bance effect on system is also discussed for achievingattenuation performance by applying passivity theory.

Guoxing

49


Intelligent Systems I

Chairs: Xiaobu Yuan, Xin WangRoom: Guoyun

10:20 - 10:40

Zero Phase Error Tracking Control with FrictionCompensation Based Motion Control System

Xin Wang, Nengfeng Liu, Zhiqiang Liu and Maobin Wang

AbstractTo reduce the tracking error caused by thefriction and servo lag, zero phase error tracking con-trolZPETCusing traditional PID controller and frictioncompensation is proposed. The friction model is basedon LuGre model. Simulation and experimental resultsshow that the controller has positive effect.

10:40 - 11:00

Multi-Agent Based System Architecture for AgileManufacturing System and its Learning

Algorithm with CMAC (Cerebellar ModelArticulation Controller)

Fuqing Zhao and Yahong Yang

A multi-agent system based system architecture for ag-ile manufacturing systems which include agent architec-tures, communication interface between agents in themanufacturing system, agent data module, knowledgemodule are proposed. A agent learning model and itsmapping algorithm for CMAC are presented to makethe agent system have self learning ability.

11:00 - 11:20

Implementing a No-Loss State in the Game ofTic-Tac-Toe using a Customized Decision Tree

AlgorithmSivaraman Sriram, Rajkumar Vijayarangan, Saaisree

Raghuraman and Xiaobu Yuan

The game of Tic-Tac-Toe is one of the most commonlyknown games. This game does not allow one to win allthe time and a significant proportion of games playedresults in a draw. This study is aimed at evolving ofno-loss strategies in the game using Decision Tree Al-gorithm and comparing them with existing methodolo-gies, mainly focused on the implementation of the gameusing the Minimax algorithm.

11:20 - 11:40

Wireless Sensor Network for CommunityIntrusion Detection System Based on Classify

Support Vector MachineJingwen Tian, Meijuan Gao and Shiru Zhou

Wireless Sensor Network for Community Intrusion De-tection System Based on Classify Support Vector Ma-chine Jingwen Tian, Meijuan Gao, Shiru Zhou Intro-duction Community Intrusion Detection System FaceRecognition Method Study 1. The Principle of SVM 2.Multi-classify SVM Application 1. Characteristic Pa-rameters 2. Confirmation Parameters of Classify SVM3. Application Study Conclusion

Guoyun

50


Mobile Robots IV

Chairs: Dong Sun, Howard LiRoom: Guoxiang

10:20 - 10:40

A Decentralized Local Constraint Path Plannerfor Multiple Mobile Robots

Shuang Liu, Dong Sun, Changan Zhu and Wen Shang

This paper presents a decentralized motion planningmethodology for multiple mobile robots. A novel three-step Local-Constraint-Path Planner (LCPP) is pro-posed to perform path planning for each robot whileconsidering kinematic constraint and online implementefficiency. A priority-based strategy is employed in theplanning to avoid mutual collisions amongst the robots.

10:40 - 11:00

Mechanical Design and Control System of aMiniature Surveillance Robot

Change Zheng

Secret surveillance in tightly constrained spaces is de-manded in many military and civilian activities. How-ever, the crucial problem is the difficulty of packinglocomotion, sensing, computing subsystems into con-strained space. This paper presents the mechanicaldesign, the control system of a miniature autonomoussurveillance robot for indoor reconnaissance tasks.

11:00 - 11:20

On-Line Affective Cognitive Learning andDecision-Making for Autonomous Navigation of

Mobile RobotsHuidi Zhang and Shirong Liu

A new autonomous navigation control framework ispresented for mobile robots by integrating affective cog-nitive learning and decision making (ACLDM) modelwith behavior-based robot system. Rational strate-gies for behaviors coordination are developed by on-line affective cognitive learning. This control strategycan make the mobile robot navigate autonomously andsafely in unknown environment.

11:20 - 11:40

Fusion of Automation and Teleoperation forPerson-Following with Mobile Robots

Hemin Omer Latif, Nasser Sherkat and Ahmad Lotfi

A novel taxonomy for Person-Following, which presentsthe tasks that are believed to exist in any Person-Following system, is introduced. A number of likely cy-cles of tasks based on real life scenarios are introducedtoo. Then, fusion of automation and teleoperation forPerson-Following is achieved using TeleGaze which wasdeveloped as a means of natural HRI for teleoperationthrough eye gaze.

11:40 - 12:00

A Non-Time Based Action Executor for theCoordinated Hybrid Agent Framework

Howard Li

In this paper, a non-time based action executor is pro-posed for the Coordinated Hybrid Agent (CHA) frame-work for the control of multi-agent systems. The non-time based agent is designed for multiple intelligent ve-hicles. Non-time based motion controllers have beensuccessfully applied to many areas such as robot mo-tion control, multi-robot coordination, force and im-pact control, robotic teleoperation and manufacturingautomation.

Guoxiang

51


Pattern Recognition II

Chairs: Huiyuan Wang, Chunmei WangRoom: Guocui

10:20 - 10:40

Multiple Dictionaries-Based Radar TargetIdentification via a Likelihood Ratio Test

Dangwei Wang, Ning Wu and Xiaoyan Ma

In this paper, we present an iteration procedure to op-timize the size of the undercomplete dictionary whenmultiple dictionaries are used to characterize the scat-tering signatures of a complex target. Furthermore, weextend the signature reconstruction and decision crite-rion with only single undercomplete dictionary to thecase with multiple dictionaries.

10:40 - 11:00

Robust Path Based Semi-SupervisedDimensionality Reduction

Guoxian Yu, Hong Peng, Qianli Ma and Jia Wei

Similarity matrix is crucial for graph base dimension-ality reduction algorithm. we construct a robust pathbased similarity matrix, which is superior to the sim-ilarity matrix derived from the traditional k nearestneighborhood, besides we use side-information in thesemi-supervised learning style to get a transformationmatrix for dimensionality reduction.

11:00 - 11:20

Face Recognition Based on CircularlySymmetrical Gabor Transform

Huiyuan Wang, Jinjun Wang, Xiaojuan Wu, Jose Vieiraand Paulo Ferreira

We propose a face recognition approach using circu-larly symmetrical Gabor transform (CSGT). The tra-ditional Gabor transform is replaced by CSGT. All theface images are transformed by CSGT first and thenface recognition is performed in CSGT feature space.Detailed theoretical analysis is presented and simula-tion results on Yale, AR and ORL face databases aregiven.

11:20 - 11:40

Automatic Detection of Epileptic Sharp-Slow byWavelet and Approximate Entropy

Chunmei Wang, Junzhong Zou, Jian Zhang and ZhisuoZhang

A new scheme is based on the characteristic of a multi-resolution and approximate entropy (ApEn) analysisof EEG signals. The EEG signals are detected byNeyman-Pearson criteria. The optimal detection ruleof detecting sharp-slow is achieved.

11:40 - 12:00

Gene Expression Pattern Extraction Based onWavelet Analysis

Xinping Xie and Xuanhao Ding

Gene expression data are highly redundant andnoisy,and hidden gene correlation patterns play moreimportant roles to cancer classification than any sin-gle gene or simple combinations of genes. CWT canmore effciently detect the consistent correlation signa-ture than DWT due to the availability of more detailinformation.

Guocui

52


Sensors III

Chairs: Anping Qiu, Jie ZhangRoom: Guose

10:20 - 10:40

The Study on Photo Mask Pre-AlignmentApproach Based on

Four-Quadrant-Photo-DetectorsYun Liu

An analysis was made on the characteristics of voltagesignals from Four-Quadrant-Photo-Detectors (FQPDs)used in photo mask pre-alignment. A pre-alignmentapproach was proposed. The validity of the presentedpre-alignment approach was illustrated by the perfor-mance indexes of time cost in pre-alignments, and re-peatiblity of photo masks.

10:40 - 11:00

The Signal Interrogation Technology of MEMSOptical Fiber Pressure Sensor

Congfei Wang, Guanglong Wang, Jianhui Chen and YiDun

This paper describes the MEMS optical fiber pressuresensor signal interrogation systems. The white-light in-terferometry system, component test system and self-calibrated interferometric intensity based system areintroduced. With the system the cavity of the MEMSoptical fiber pressure sensor is measured with high res-olution by fringe analysis.

11:00 - 11:20

Bulk-Micromachined Silicon ResonantAccelerometer

Anping Qiu, Yan Su, Xinhua Zhu and Qin Shi

SRA consists of DETF, proof mass and micro levermechanism. DETF is modeled with the Bernoulli-Euler beams theory and simulatednatural frequenciesof DETF. Amplification factor of micro leverage is de-rived. SRA was fabricated by dissolved wafer process.Under static measurements with (1g, the scale factorof DEFT I is 14.35Hz/g, and DETF II13.95Hz/g.

11:20 - 11:40

Design and Realization for High Dynamic SiliconMicromahined Gyroscope

Wei Zhang, Qingwen Yan and Fuxue Zhang

This paper reports a design and realization methodfor the high dynamic silicon micromachined gyroscope.The gyroscope is used in control technology field tomeasure pose of a rotating carrier with high self-rollingvelocity up to 14400/s. The roll angular velocity, theyawing and pitching angle velocity of the rotating car-rier are sensed and outputted by the gyroscope, andthe output signal of the gyroscope can be obtained bythe signal processing technology which is consisted ofhardware circuits, software arithmetic and compensa-tion technique.

11:40 - 12:00

Modelling and Experimental Study on theFiber-Optic Ice Sensor

Wei Li, Jie Zhang, Lin Ye, Hong Zhang and Wenjun Yang

The model of fiber-optic ice sensor are presented onthe basis of a single fiber pair model. The characteris-tics of various parameters are simulated and compared.Moreover, an experiment is carried out. It is demon-strated that the results obtained enable to predict theperformances of sensor with various parameters.

Guose

53


Information and Signal Processing V

Chairs: Lizhen Wang, Matthew GreytakRoom: Guosheng

10:20 - 10:40

A Game Method for Multiple AttributeDecision-Making without Weight InformationLihua Zhou, Weiyi Liu, Yufeng Xu and Lizhen Wang

A game model for solving multiple attribute decisionmaking without weight information is proposed. Eachattribute is a player whose strategy is to choose a valueto endow its attribute weight, and whose utility ismatching degree between alternative order produced bydecision making and one produced by attribute magni-tude.

10:40 - 11:00

Specific Radar Emitter Recognition Based onWavelet Packet Transform and Probabilistic SVM

Lin Li, Hongbing Ji and Lei Wang

Radar emitter recognition plays an important role inmilitary automated command and control system. It isa composite task that involves radar signal interception,modulation recognition, features extraction and classi-fication. In this paper, specific radar emitter recogni-tion is achieved by wavelet packet transform probabilis-tic SVM (PSVM).

11:00 - 11:20

Inversion of Eddy Current NDE Signals Using anArtificial Neural Network Based Forward Model

and Particle Swarm Optimization AlgorithmSiquan Zhang

An inversion algorithm for the reconstruction of nat-ural crack shape from eddy current testing signals isdeveloped by using an artificial neural network basedforward model and particle swarm optimization algo-rithm. The reconstruction results verified the schemeis promising in natural crack shape inversion.

11:20 - 11:40

A Method for Spectrum Correction of DampedFree Vibration Response Based on Complex

Analytic Band-Pass FilterLede Chen, Kang Ding and Zhijian Yang

This paper presents a spectrum correction methodbased on complex analytic band-pass filter. Thismethod can improve the precision of spectrum cor-rection of damped free vibration response,and reducethe spectral leakage of negative frequency componentcaused by FFT.

11:40 - 12:00

Economical Simulation in Particle Filtering usingInterpolation

Josh Taylor and Franz Hover

We present a method by which to replace the mostcomputationally expensive component of sampling theimportance density in particle filtering with an effi-cient approximation. The modification is implementedwithin auxiliary and regularized particle filters in a nu-merical example based on the Kraichnan-Orszag sys-tem.

Guosheng

54


Intelligent Control II

Chairs: Hugh Liu, Ming XieRoom: Guoxing

13:30 - 13:50

Multivariable PID Neural Network Based FlightControl for Small-Scale Unmanned Helicopter

Guangping Qi, Ping Song and Kejie Li

One multi-model flight control system based on Multi-variable PID Neural Network (MPIDNN) was designedfor small-scale unmanned helicopter in this paper. Thehardware, software and algorithm were designed. Theresult of simulation indicates that the maximum errormagnitude of control system is about 1%.

13:50 - 14:10

Symbolic Reachability Computation of a Class ofSecond-Order System

Ming Xu, Liangyu Chen and Zhibin Li

Reachability is an important safety property. Wepresent the first known family of second-order systemswith the decidable symbolic computation problem of itsreachable state space at the best of our knowledge. Weextend the approach that reducing reachability compu-tation into semi-algebraic system solving and analyzingthe systems carefully.

14:10 - 14:30

Investigating the Possibility of a Truly Cognitiveand Intellectually Autonomous Robot

Sainyam Gautam and Ming Xie

Investigation of of Truly Cognitive and AutonomousRobots Abstract AI still cannot develop a truly intel-ligent robot. Understanding the true meaning of in-telligence and development of neural networks are cru-cial for realising this goal but proposed models sufferfrom fundamental limitations. In the paper, answersare sought, proposals are made and a promising model,Fractal Neural Network, is analysed.

14:30 - 14:50

Observer-Based H-infinity Fuzzy Control Designfor Discrete-Time Stochastic T-S Fuzzy Model

with Multiplicative NoiseWen-Jer Chang, Wen-Yuan Wu and Cheung-Chieh Ku

This paper introduces an observer-based H-infinityfuzzy control design method for discrete-time nonlinearsystems with multiplicative noise. The stability condi-tions are derived via Lyapunov function to analyze thestability and H-infinity performance of system. Thestandard two-step method is adopted to separately ob-tain the controller gain matrices and the observer gainmatrices by solving two sets of Linear Matrix Inequal-ities.

14:50 - 15:10

A Multi-Objective Control Approach forNonlinear Systems

Chen Gao, Hugh Liu and Ping Zhang

Analytical parameter multi-objective design is ex-tended to nonlinear systems through Controlled Lya-punov Function(CLF). The potential benefits are twofronts. One is CLF guarantees the stability. The otheris the cost functions adopted from AMPOS may lead tobetter design. A nonlinear benchmark problem is thenused to demonstrate its effectiveness.

Guoxing

55


Intelligent Systems II

Chairs: Wen Jung Li, Chi Man VongRoom: Guoyun

13:30 - 13:50

Research on Work Mechanism of IntelligentCAPP

Zhongbin Wang, Yuliu Chen and Qing Li

System architecture and the work mechanism of an in-telligent CAPP system based on multi-agent systemwere investigated, and conflict resolution mechanismbased on knowledge was represented. The conflictswhich intelligent CAPP generated were resolved by useof rule-based reasoning and case-based reasoning, therelevant agents were developed, investigation achieve-ment was applied in the process of producing shearer.

13:50 - 14:10

A Hierarchical Pedestrians Motion PlanningModel for Heterogeneous Crowds Simulation

Dan Guo, Cheng Wang and Xulei Wang

The paper has proposed a hierarchical method forheterogeneous pedestrian motion planning in com-plex dynamic environments. It extends the Mini-mum link paths (MLPs) in a constraint-based algo-rithm.Simultaneously, it uses a modified social forcemodel to capture local crowd dynamics under varyinginteractive situations for heterogeneous crowds.

14:10 - 14:30

Development of Entertaining Robots: A Studyinto Intelligent Acquisition of Human Language in

RobotsRui Li and Ming Xie

This paper proposes a new way for robots to acquire hu-man language, improving on imperfections discoveredin ELIZA, A.L.I.C.E. and Jabberwacky. A skeletal de-sign plan is drawn up, with rudimental illustrations us-ing simple examples. The idea of this theoretical studyis to explore possibilities of building intelligent robots

14:30 - 14:50

The Similarity Measure between Interval Type-2Fuzzy Sets based on Triangles

Zehua Lv, Hai Jin and Pingpeng Yuan

A novel method to represent IT2 FS by a series of lin-ear functions is given, the similarity between IT2 FSsis proposed and the validity of this method is proven.Several numerical examples are given to show that thesimilarity measure is reasonable and better than anyexisting methods.

14:50 - 15:10

Case-Based Reasoning for Automotive EngineElectronic Control Unit Calibration

Chi-Man Vong, Pak-Kin Wong and He Huang

This paper briefly reviews the methodology of CBR.Then the application of CBR to ECU calibration isdescribed. By applying CBR, the efficiency of calibrat-ing an automotive ECU becomes higher. Furthermore,expert and novice automotive engineers may use thissystem as an assistant when calibrating an ECU.

Guoyun

56


Parallel Robots II

Chairs: Bing Li, Yuefa FangRoom: Guoxiang

13:30 - 13:50

Development of Motion Type ReconfigurableModular Robot for Multi-Task Application

Hailin Huang and Bing Li

This paper aims to provide the theoretical design ofa special type of modular reconfigurable robot systemwith locally chain-based topology: the motion type re-configurable robot. A novel motion type reconfigurablerobotic architecture is introduced. Using this architec-ture, the printed circuit board assembly can be totallyautomatization.

13:50 - 14:10

Structural Synthesis of Serial-Parallel HybridMechanisms via Group Theory andRepresentation of Logical Matrix

Qiang Zeng and Yuefa Fang

This contribution presents different type of serial-parallel hybrid mechanisms. A novel representationand logical operation of spatial mechanisms are devel-oped. The hybrid mechanisms can be categorized intotwo types, closed-type and opened-type hybrid mecha-nisms. Finally, two examples of hybrid mechanisms areillustrated based on the given logical operations.

14:10 - 14:30

Trajectory Control of the Cable-Based ParallelMechanism Based on Dynamics

Bin Zi and Zhencai Zhu

This paper is concerned with trajectory control ofcable-based parallel mechanisms (CPM). Firstly, thedynamic formulation of CPM was established. Sec-ondly, a decentralized control approach is proposed,and an immune proportional-integral-derivative con-troller is developed for each subsystem of the CPM.Finally, simulation results validate properties of theproposed control strategy.

14:30 - 14:50

Computer Vision Based Calibration of the PurelyTranslational Orthopod Manipulator

Yunjiang Lou, Tieniu Chen, Yuanqing Wu and GuanfengLiu

Kinematic calibration was achieved for the purelytranslational Orthopod parallel mechanism via a flexi-ble measuring system. Intrinsic parameters of the cam-era were first identified. Results were verified usinga simple yet practical experiment. Manipulator cal-ibration was conducted using its inverse kinematicsmodel. Experiment data verifies the proposed calibra-tion method.

14:50 - 15:10

Dynamics Modeling for a Novel 3-DOF DualParallel Manipulator Considering the Flexibility

of Compliant ComponentsYuan Yun and Yangmin Li

This paper is concerned with the design and model-ing of a 3-DOF dual parallel robot with flexure hinges.Based on our previous research experiences, a dynamicmodeling has been performed by using Kanes method.The investigations may make contributions to the re-search on dynamic characteristics based on novel par-allel manipulators.

Guoxiang

57


Pattern Recognition III

Chairs: Feng Wan, Lizhen WangRoom: Guocui

13:30 - 13:50

Comparison of Different Classification Methodsfor EEG-Based Brain Computer Interfaces: A

Case StudyBoyu Wang, Chi Man Wong, Feng Wan, Peng Un Mak,

Pui In Mak and Mang I Vai

The performances of different off-line methods for twodifferent Electroencephalograph (EEG) signal classifi-cation tasks C motor imagery and finger movement,are investigated in this paper. The main purpose ofthis paper is to provide a fair and extensive compari-son of some commonly employed classification methodsunder the same conditions.

13:50 - 14:10

SubTree Augmented Naive Bayesian ClassifierBased on the Fuzzy Equivalence Partition of

Attribute VariablesHongmei Chen, Lizhen Wang, Weiyi Liu and Hao Chen

SubTree Augmented Na?ve Bayesian classifier (STAN)is proposed in this paper. It adopts the fuzzy equiva-lence partition approach to partition attribute variablesinto several subsets and admits the structure of at-tribute variables to be several subtrees. Na?ve Bayesianclassifier and Tree Augmented Na?ve Bayesian classifiercan be easily simulated by STAN. Experiments demon-strate STAN is effective and efficient.

14:10 - 14:30

Application of Particle Swarm Optimization toCredit Risk Assessment

Chengan Li, Jing Xu and Heyong Wang

In this paper, we apply particle swarm optimization(PSO) to solve credit risk assessment problems by com-bining with feature subset selection and nearest neigh-bor classifiers. The experimental results demonstratethat our proposed method lets to achieve better perfor-mance than the existing methods in terms of solutionquality and computational efficiency.

14:30 - 14:50

Segmentation of fMRI Based on Graph SpaceConstruction

Hongyi Zhang, Jiexin Pu and Yongping Lin

In this paper, based on phase space construction, theproposed activation lags between pictures are estimatedby minimum mutual information. Then, the image asthe activation reach to stability is obtained for cluster-ing analysis. Finally, an image segmentation algorithmbased on pulse-coupled neural network (PCNN) is pre-sented in this paper.

14:50 - 15:10

Quality Assessment of Aluminum AlloyResistance Spot Welding Based on Wavelet and

Statistic AnalysisCunhai Pan, Peng Zhao, Sumei Du and Jingkai Wang

The quality real-time monitoring of aluminium al-loy resistance spot welding is realized by distributedmultiple-sensor synchronous collection system. Dis-placement signal time-frequency domain wavelet anal-ysis and further Butterworth band-pass filter statisticanalysis show that the range of the electrode displace-ment signal of the expulsion welding spots can reachabout 0.5mm, which far exceeds the normal and un-dersize welding spots, at between 40 to 80Hz.

Guocui

58


Sensors IV

Chairs: Ting Yu, Haibin YuRoom: Guose

13:30 - 13:50

Modeling and Compensation for TemperatureErrors of Fiber Optic Gyroscope

Chunlei Zhou, Qi Zhang, Shuhua Yan, Lei Gao andGuochao Wang

Based on temperature experiment, the temperaturecharacteristic of IFOGs bias was studied. The Step-wise regression was used in analyzing the relationshipbetween IFOG’s bias and temperature.A new tempera-ture compensation model was established. The exper-iment results shows that the compensation model waseffective and stable.

13:50 - 14:10

Investigation of Thermal Stress Influence onCMUT in Standard CMOS Process

Xinqiang Lu, Ting Yu, Fengqi Yu and Yuchun Feng

A CMUT structure with a square micro-bridge mem-brane is modeled, and some finite element analysis(FEA) is carried out using ANSYS 11.0 to study the in-fluence of thermal stress on the performance of CMUT,such as collapse voltage, resonant frequency, couplingcoefficient, sensitivity, and bandwidth for the worst-case design

14:10 - 14:30

Two-Phase Unequal-Pitch Time-GratingDisplacement Sensor Based on Harmonic Wave

Correcting MethodXianquan Wang, Min Wu and Ge Zhu

Firstly ,a new type of displacement sensor is proposed.It greatly enhanced the number of pole-pairs and sensorprecision. Secondly, the new error correction method isproposed. its sampling points is less than else. Finallyexperiments validated that it can greatly enhance theaccuracy of the sensor.

14:30 - 14:50

Soft-Sensor Modeling of Product Particle Size inBall Milling Circuits Based on Particle Swarm

Optimization Fuzzy Neural NetworksXinggang Wu, Mingzhe Yuan and Haibin Yu

By combining particle swarm optimization algorithm(PSO) with fuzzy neural networks (FNN), a PSO fuzzyneural networks (PSO-FNN) was proposed. Then PSO-FNN was applied in soft-sensor modeling of productparticle size in ball milling circuits. Experiment resultsshow that the model based on PSO-FNN has higherprecision and better performance than the model basedon BPNN.

14:50 - 15:10

Non-Conduct Steering Sensor for Electric PowerSteering

Xiaoling Wang, Yan Zhao and Hong Wang

It is needed not only steering torsion sensor but alsosteering angle sensor for EPS and ESP. Magneto-resistance (MR) steering sensor is a substitute for steer-ing sensor which can measure steering torsion as wellas steering angle. The sensor consists of sensitive mag-netic elements and signal disc.

Guose

59


Information and Signal Processing VI

Chairs: Kang Ding, Jian LiRoom: Guosheng

13:30 - 13:50

Study on the IQA Method for Polarization ImageBased on Degree of Noise Pollution

Congli Li, Xiushun Yang, Wenbing Chen and Wei Lu

This paper presents a novel no-reference IQA (imagequality assessment) method based on the degree ofnoise pollution from the angle of noise detectation forpolarization image. The experiment results show thatthis method has the properties of no-reference, lesscomplex computation and consisting with the result ofsubjective quality assessment.

13:50 - 14:10

A New Secure Video Watermarking for CopyrightProtection

Xiaoju Li, Guo Lin and Li Liu

For resisting copy attack and preventing an adversaryedits a watermark to be embedded, a secure and robustvideo watermarking method for copyright protection isproposed. The proposed algorithm is used in the proofof ownership of video chunks.

14:10 - 14:30

Noise Influence on Frequency EstimationAccuracy from Energy Centrobaric Correction

Method for Discrete SpectrumChunsong Zheng, Kang Ding and Zhijian Yang

This paper investigates noise influence on the frequencyestimation performance of Energy Centrobaric Correc-tion Method. Some measures have been proposed toovercome the drawbacks. Simulations results verify thecorrections of theoretical derivations and demonstratethat the improved method has superior estimation ac-curacy and better anti-noise performance.

14:30 - 14:50

Electromyogram Signal Analysis and MovementRecognition Based on Wavelet Packet TransformLingling Chen, Peng Yang, Linan Zu and Xiaoyun Xu

For recognizing the movement intent of amputee,wavelet packet transform was applied to analyze theelectromyogram signal, extract its frequency featureand recognize movement transition. Experimentalresults show that the movement transition betweenstanding and sitting can be recognized with a higheridentification rate.

14:50 - 15:10

An Automatic Flaw Classification Method ofUltrasonic Nondestructive Testing for Pipeline

Girth WeldsJian Li, Xianglin Zhan and Shijiu Jin

An automatic identification of flaw type based on LiftedWavelet Transform (LWT) and BP neural network(BPN) is introduced. LWT is proposed to extract flawfeature. A feature library is constructed. A modifiedBPN is followed as a classifier, whose output is the in-put flaw signals type.

Guosheng

60


CAD/CAM I

Chairs: Tianbiao Yu, Jianjun PengRoom: Guoxing

15:30 - 15:50

Research on Simulation of Multi-Axis MachiningBased on Three Dimensions Grid RepresentationJianjun Peng, Ruifeng Guo, Shimin Zhang, Zhixiang Shao

and Wanfu Ding

This paper researches on the machining simulation ofthe multi-axis numerical control system, and proposesa new algorithm of intersection calculation and collisiondetection based on Three Dimensions Grid Represen-tation. The test has proved that the simulation systemcan display the machining process with fast computa-tion and less memory consumption.

15:50 - 16:10

Research of Three-Dimensional Parametric DesignSystem based on Personalization and

CustomizationKai Zhao, Jing Zhou, Yang Zhang, Tianbiao Yu and

Wanshan Wang

For enduing the business enterprise capacity to respondto customers need more accurately and quickly, thistext puts forward a technique route that would developa three-dimensional parametric design system which isbased on individual product customization under thenetwork environment, meanwhile it makes a researchon the key techniques.

16:10 - 16:30

A Novel Priority-Number-System-BasedApproach to Locator Configuration Formulization

for Fixture DesignGuohua Qin, Shiping Sun and Dong Lu

This paper deep investigates the fixture locator con-figuration and its corresponding dimensions. Thus, apriority-number-system-based method is proposed toformulate the function relationship among all dimen-sions. This research work can supply the theoreticalbasis to realize automated fixture design (AFD).

16:30 - 16:50

A Slack-Based Method to Clamping ForceOptimization for Fixture Design

Guohua Qin, Dong Lu and Shiping Sun

This paper presents a mechanistic model for optimallydetermining the clamping forces. The model solutionis proposed as a constrained quadratic optimization byapplying the minimum norm principle. In order to ef-ficiently compute the clamping forces, the constrainedquadratic optimization is feasibly slacked into the con-strained linear programming problem.

Guoxing

61


Intelligent Systems III

Chairs: Pak Kin Wong, Xiaojun WuRoom: Guoyun

15:30 - 15:50

Multi-Agent Based Early-Warning for Monitoringof Major Hazard InstallationsJianfeng Zhou and Guohua Chen

The multi-agent group (MAG) model for monitor-ing and control of hazard installations is proposed.The Feature Extraction Agent (FEA) and the Early-warning Analysis Agent (EAA) perform the early warn-ing function of hazard installation monitoring. Thestructures, main functions and working processes of theFEA and the EAA are analyzed.

15:50 - 16:10

A Hybrid Particle Swarm Optimization Algorithmand its Application in Hydrogen Management

Jinsong Zhang and Zhaoxia Wang

The hybrid PSO algorithm overcomes the basic PSOalgorithm’s disadvantage of easily getting into the localextremum in the later evolution period and keeps therapidity in the previous period. It was used to resolvethe static scheduling model of hydrogen balance in arefinery and good effect was got.

16:10 - 16:30

Improved RSSI Based Localization Algorithm forPark Lighting Control and Child Location

Tracking SystemJia Chen, Xiaojun Wu, Feng Ye, Ping Song and Jianwei

Liu

Base on ZigBee, park lighting control and child loca-tion tracking system is researched in this paper, wherean improved RSSI-based distributed localization algo-rithm is introduced. As a goal of our system, thenew method, unlike commercial digital-hardware-blockbased strategy used in CC2431, can be implemented byusing ordinary 8-bit MCU.

16:30 - 16:50

Computer-Supported Software Development withBPsim Products Family-Integration of Multiple

ApproachesKonstantin Aksyonov, Irina Spitsina, Eugene Bykov,

Elena Smoliy and Olga Aksyonova

Paper focuses on actual problem of development ofmethods and tools for processes simulation and soft-ware engineering, that automate whole developmentprocess. Most of current tools lack structural andobject-oriented approaches integration and design pro-cess intelligence. Keeping this in mind a multi-agentresource conversion processes based CASE tool was en-gineered.

16:50 - 17:10

Incremental Modelling of Automotive EnginePerformance using LS-SVM

Chi-Man Vong, Pak-Kin Wong and Rui Zhang

Modern automotive engines are controlled by electroniccontrol unit (ECU). The engine performance referred toas output torque is significantly affected by the setup ofcontrol parameters in the ECU. Traditional ECU tune-up is done by trial-and-error method through repeateddynamometer tests. In the paper, online LS-SVM ispresented and used for estimating the engine torquefunctions so that the number of dynamometer tests canbe significantly reduced.

Guoyun

62


Bio-Robots

Chairs: James Mills, S. Q. XieRoom: Guoxiang

15:30 - 15:50

Development of a Multifingered Robotic HandL. Q. Tan, S. Q. Xie, I. C. Lin and T. Lin

A multi-fingered robotic hand is developed using hy-draulic actuation with fluidic actuators. A miniaturisedhydraulic system is designed with all components in-trinsically placed inside the palm. The hand is de-signed to be under-actuated with only five degrees ofcontrolled motion. the hand can be operated undereither automatic or manual mode.

15:50 - 16:10

Research on Biologically Inspired HexapodRobot’s Gait and Path Planning

Qingsheng Luo, Hui Zhang, Baoling Han and XiaochuanZhao

We mainly adopt Solidworks as well as MSC.ADAMSto simulate and analyze the prototype model of therobot. By the simulations on our design, the applica-bility of the tripod gait is validated, and the schemewhich uses cubic spline curve as the endpoint of footspath is feasible

16:10 - 16:30

Research and Development of PMA in MusicRobot

Anmin Xi, Peng He and Xu Wang

This paper presents the application of the pneu-matic artificial muscle (PMA) in Hulusi musicalrobot.Through the establishment of PMAs static anddynamic test model to study and analyze the charac-teristics. Therefore we can grasp its working character-istics and make contributions to future applications inrobots finger-driven.

16:30 - 16:50

A Novel Clustering Method for Chernoff FacesBased on V-System

Ruixia Song, Zhaoxia Zhao and Meifang Ou

The Chernoff face is a classical method in Multivari-ate Statistics. Based on the V-system, a class of com-plete orthogonal function, a new programmed cluster-ing method for Chernoff faces is proposed. This self-adaptive clustering technique can avoid misjudgmentcaused by human eyes. When the number of samplesis larger, its advantage is more obviou

16:50 - 17:10

Robotic Manipulation of Adhesive Droplets forApplications in Microassembly

Lidai Wang, James Mills and William Cleghorn

We present a novel approach to manipulate micron sizeadhesive droplets for the use in robotic microassembly.A micro-probe is developed to pick and place microadhesive droplets. Surface energy is utilized to con-trol the size of manipulated adhesive droplet. Exper-iments were conducted to assemble three-dimensionalhigh-aspect-ratio micro-mirrors.

Guoxiang

63


Mechanisms

Chairs: G. B. Zhang, Wu XinRoom: Guocui

15:30 - 15:50

Kinematics Analysis and Simulation of a NewParallel Mechanism with Two Translational and

One Rotational OutputsXin Wu, Meili Chen and Yanbin Zhang

Based on the single-opened-chain unit theory, a newparallel mechanism with two translational and one ro-tational degrees of freedom is put forward. The kine-matics of the mechanism is analyzed, the simulationof the virtual prototype indicate that kinematic outputcharacteristic and position inverse solutions derived arecorrect. The singularity of the mechanism is analyzed.

15:50 - 16:10

Bolt and Screw Assemblage through CollaborativeKinematics Operation of Two Modular Robots

Based on the Position FeedbackLiying Su, Lei Shi and Yueqing Yu

A cooperative robot system is set up with two modularrobots and a dynamic optical meter-OptoTrak. WithOptoTrak, the position of the end actuators is mea-sured as the optical position feedback. A tri-layeredmotion controller is designed. With the kinematics con-straints of the two robots they can cooperate well.

16:10 - 16:30

Research and Implementation of Quality ControlSystem of Product Design

G. B. Zhang, G. Q. Wang, H. F. Zeng and X. L. Ren

SOA technology is used in research of Quality Controlof Product Design. An architecture for SOA based ap-plication supportive platform is proposed. How to or-ganize design quality information with design qualityBOM is discussed in detail. The development and ap-plication of the system demonstrated that the solutionis feasible.

16:30 - 16:50

Complete Solution of the Five-Points PathSynthesis for Planar Four-Bar Linkages

Xiguang Huang, Guangping He, Qizheng Liao and ShiminWei

The problem of synthesizing a planar four-bar linkageswhose curve passes through five prescribed precisionpoints based on elimination methods has been a diffi-cult problem in kinematics because it is of high polyno-mial degree and highly nonlinear. A new eliminationmethod to solve the problem is presented. Based onthe presented method, a 36th degree univariate poly-nomial of the problem is derived from the determinantof a Sylvesters matrix, which is relatively small in size,without factoring out or deriving the greatest commondivisor. Conclusion shows that there are generically 36non-degenerate solutions of the problem. To verify theobtained conclusion, the completely same result can beobtained using continuation method.

Guocui

64


Human Robot Interaction

Chairs: Dikai Liu, Hongyi LiRoom: Guose

15:30 - 15:50

Research on Autonomous Interaction of VirtualAvatar During its Master’s Operation Silence

PeriodZhixiao Yang and Zhengying Yang

An adaptive time window based algorithm is proposedto decide if a user falls into operation silence or notin a remote interaction. Operation silence is explainedas that the user loses interest to interaction topic. Itresults to sleepy. Sleepy state is expressed by avatar invirtual environment.

15:50 - 16:10

An Optimized Distributed Real-Time SimulationFramework for High Fidelity Flight Simulator

ResearchShupeng Zheng, Jingfeng He, Jun Jin and Junwei Han

In this paper, an optimized distributed real-time sim-ulation framework for flight simulator is presented. Itsuccessfully uses the mediator and data bus design pat-tern. The mediator design pattern provides object de-coupling and minimizes component interdependencies.Meanwhile, the data bus design pattern decreases thecommunication latency. This results in more maintain-able and extensible software.

16:10 - 16:30

Information Transformation-Based Tele-RoboticSystems

Jianning Hua, Wei Ding, Hongyi Li, Yuechao Wang andNing Xi

Relative posture between end-effector and the objectto be grasped is what we concern about in teleroboticsystems. Since visual information results in low perfor-mance, a method based on information transformationis presented to cope with this problem and guide thecontinuous completion of grasping task.

16:30 - 16:50

A High Performance CMOS Vibration Sensorwith Extended Floating Gate

Benxian Peng, Ting Yu, Fengqi Yu and Yuchun Feng

A novel CMOS vibration sensor with extended floatinggate is developed to realize high sensitivity, linearity,and manufacturability. A method to enhance linear-ity in large displacement range by varying capacitancecoupling ratio is proposed. The sensor can achieve aresolution of 0.05g, and ultra low power of 824.3 uW .

16:50 - 17:10

Workspace Mapping and Force Control for SmallHaptic Device Based Robot Teleoperation

Pholchai Chotiprayanakul and Dikai Liu

This paper presents a small haptic workspace spanningcontrol method for large tele-environment. A force fieldmethod is also presented to manipulate the robot armsmotion in complex 3D environments. Experimental re-sults achieve accurate positioning and provide the op-erator with efficient touch sensing.

Guose

65


CAD/CAM II

Chairs: Bing Li, Xin WangRoom: Guosheng

15:30 - 15:50

The Research of Shipbuilding Schedule Based onGenetic Algorithm

Duanyang Zhao, Jiaquan Gao and Qingxiang Xu

The overall arrangement in shipbuilding project is astrategic and optimal scheme with the shortest daysand the best economic benefits for construction. A mul-tiobjective model and a new genetic algorithm based onvector group encoding are proposed. Numerical resultsshow the algorithm is better than the common geneticalgorithm.

15:50 - 16:10

A Multi-Agent Model for the Order Driven AgileManufacturing Systems and Order Form Selection

AlgorithmFuqing Zhao, Qiuyu Zhang and Yahong Yang

A multi-agent model for the order driven agile manu-facturing systems and order form selection algorithmare provided. Shop floor activity and its correspondingcontrol flow are given. Particle Swarm Optimization(PSO) algorithm for the order driven system is used tointelligently select the suitable order for the system.

16:10 - 16:30

The Application of Aspectual Feature Module inHardware Description Language - A Perspective

Jun Ye, Tun Li and Qingpin Tan

Aspectual Feature Module (AFM) is a newly proposedmethodology for the development of software productlines. Considering the similar problems of product linedevelopment in hardware (e.g. how to exploit the sim-ilarity between products in product line), this papersuggests the application of AFM in Hardware Descrip-tion Languages (HDL).

16:30 - 16:50

Velocity Control of Transfer Points inNon-Smoothing Segment Trajectory for CNC

MachiningXin Wang, W. B. Zhang and X. C. Ye

In this paper a simple and practical method of velocitycontrol is put forward. Based on linear velocity ac-celeration and deceleration, the non-smoothing trans-fer point is predicted. Optimized transition velocity isgiven by considering velocity limitation conditions andkinematic theory. Smooth transfer and continuous tra-jectory interpolation are realized.

16:50 - 17:10

A B-Spline Surface Interpolator for PrecisionMachining of Free-Form Surfaces

Yue Du, Bing Li, Weiyang Lin and Xiaojun Yang

This paper presents a B-Spline surface interpolator forgenerating tool paths for free-form surfaces. To addressproblem of degradation in machining precision associ-ated with non-constant scallop heights generated whenusing iso-parametric machining method, an on-line oroff-line CC path scheduling algorithm is developed toensure desired machining precision.

Guosheng

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ThursdayJune 25, 2009


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Workshops on Robotics

Automated Robot-based Nanohandling

Sergej FatikowDivision for Microrobotics and Control Engineering (AMiR)

University of Oldenburg, Germany

“What I want to talk about is the problem of manipulating and controlling things on a small scale” statedRichard P. Feynman at the beginning of his visionary talk “There’s Plenty of Room at the Bottom”, givenon December 29th 1959 at the annual meeting of the American Physical Society at the California Instituteof Technology. Today, half a century after this first insight into unlimited opportunities on the nanoscale,we still have to talk about the same issue. The problem identified by Feynmann turned out to be a verydifficult one because of a lack of understanding of the underlying phenomena of the nanoworld and becauseof a lack of suitable nanohandling methods.

The talk by Prof. Sergej Fatikow addresses the latter issue. The handling of micro- and nano-scale ob-jects with an accuracy in the nanometer range is an important current trend in robotics. It is often referredto as nanohandling and is primarily understood as manipulation of objects, which may include their finding,grasping, moving, tracking, releasing, positioning, pushing, pulling, cutting, bending, twisting, etc. Addi-tionally, many other technologies requiring tool/probe positioning with an accuracy in the nanometer rangeare also regarded as nanohandling, e.g. material nanocharacterization methods like indentation or scratch-ing; mechanical or electrical measurements on nanoscale objects; nanostructuring of surfaces by depositionor removal of materials, and others. Automated nanohandling is one of the key challenges of microsystemtechnology and nanotechnology. It will enable high-throughput manufacturing of novel products and openup new application fields. Current research activities in AMiR include, amongst others, the developmentof new nanohandling robots; the investigation of novel automated nanohandling strategies; the developmentof advanced control methods; as well as the investigation of suitable real-time sensing technologies on thenanoscale.

In his talk, Prof. Fatikow introduces main approaches for handling objects on the nanoscale. He especiallyaddresses his current work of an automated robot-based nanohandling station inside a scanning electron mi-croscope (SEM). The latter serves as a powerful vision sensor and a work space for nanohandling robotsintegrated into the vacuum chamber and equipped with application-specific tools. Different research aspectsof this work regarding the implementation of the main system components C the piezo-driven nanohandlingrobots, the control system, the vision-feedback approaches, and the force/tactile sensors C are discussed.Finally, current research projects and applications being pursued in AMiR are outlined. They include au-tomated nanoassembly of AFM supertips inside SEM, handling and characterization of carbon nanotubes(CNT), electron beam induced deposition (EBiD) as a bonding and nanostructuring technology, automationissues in AFM-based nanohandling, characterization of biological objects by AFM/nanorobots, and others.

A Synchronization Approach to Formation Control of Multiple Mobile Robots

Dong SunDepartment of Manufacturing Engineering and Engineering Management

City University of Hong Kong, China

In this talk, we present a synchronization approach to trajectory tracking of multiple mobile robots whilemaintaining time-varying formations. The main idea is to control each robot to track its desired trajectorywhile synchronizing its motion with those of other robots to keep relative kinematics relationship as requiredby the formation. First, we pose the formation control problem as a synchronization control problem, andidentify the synchronization control goal according to the formation requirement. The formation error ismeasured by the position synchronization error, which is defined based on the established robot network.Second, we develop a synchronous controller for each robot’s translation to guarantee both position andsynchronization errors to approach zero asymptotically. The rotary controller is also designed to ensurethe robot to be always oriented towards its desired position. Both translational and rotary controls are

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supported by a centralized high level planer for task monitoring and robot global localization. Finally, weperform simulations and experiments to demonstrate the effectiveness of the proposed synchronization con-trol approach in the formation control tasks.

A Novel Type of Microrobots for Biomedical Applications

Shuxiang GuoIntelligent Mechanical System Engineering Department

Kagawa University, Japan

It is purpose to develop a novel type of microrobots in pipe that has the characteristics of flexibility,driven by wireless, good response and safety in body. Up to now, some kinds of microrobots in pipe havebeen developed. However, the power supply with cable and the friction power with the inner wall were theproblem of research conventionally in this research. We have reported a novel prototype model of micro-robot utilizing electromagnetic actuator as the servo actuator to realize moving motion. We propose animproved novel prototype model of microrobot, the running experiments have been carried out, and theoperating characteristic was evaluated both in horizontal direction and in vertical direction. It shows thatthe proposed microrobot can correspond to the dirt adhering to the inner wall, or long distance movementeven if in vertical direction by the experiment results, and moving speed control can be easily performed byfrequency adjustment of the alternate magnetic field. It will play an important part in industrial applicationand microsurgery.

From Biological Systems to Intelligent Robots

Huosheng HuUniversity of Essex, UK

After recent advancement of computing and robotics technologies, intelligent robots are soon ready toserve us in our home, hospital, office and everywhere. They are mobile, autonomous and interactive, inspiredfrom behavior demonstration of biological systems. A number of new application areas have currentlyreceived significant interests in the robotics community, including service robots, medical robots, educationrobots and entertainment robots, etc. However, these robots face a number of challenges. Firstly, theyhave to deal with uncertainty within the systems, such as sensor noise, actuator inaccuracy, and componentsfailure. Secondly, they have to handle a huge uncertainty in the real world, which is dynamically changingover time. To catch up these changes in real time is very difficult since no sensor is able to work in allthe situation and circumstances. Thirdly, inspiration from biological systems is an important issue to beaddressed in the design of intelligent robots since it could provide some guidance to solve the problem.Finally, human-robot interaction is a key for success, including communicating with and navigation aroundhumans.

In this talk, I will briefly overview the current state of art robotics technologies, and present our currentresearch work toward the development of advanced theory and technologies for intelligent robots, based oninspiration from biological systems. More specifically, bio-mimetic system modeling, head gesture basedcontrol of a wheelchair, and human motion tracking are discussed respectively, and some preliminary resultsare demonstrated.

Research & Development of Parallel Kinematics Machinein Harbin Institute of Technology

Bin LiHarbin Institute of Technology, China

Parallel robot which was well established as handling and positioning devices, have recently attractedattention as machine tools because of their potential merits in high motion dynamics and accuracy combined

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with high structural rigidity due to their closed kinematic loops. The world first prototypes of ParallelKinematics Machine(PKM) have been introduced to public at the IMTS show 1994 Chicago. The machineswere intended for complex 5-axis milling operations and were realized as Stewart platform. Within thefollowing years, many new prototypes for milling and other processes have been developed in industry andresearch institutes, however, most of the existing work intended to study the fundamentals of this newtechnology rather than as market products apart from few successful example, such as Tricept. In addition,a large number of patents related to PKM have been applied.

The research and development of PKM in Harbin Institute of Technology, China was dated from 1995,the first prototype BJ-1 based on Stewart platform mechanism was completed in 1998, after 5-year hardworking the BJ-series PKM could reach the same accuracy level as the traditional milling machine, thekey involved techniques such as servo-control, calibration, CAM interface, etc. have been developed. TheParallel Machining Center (PMC) which is tailored for turbine blade machining has been developed andsuccessfully used in industry in 2005, the cost of the PMC is only one third of the imported Swiss-madeStarlarg machine tool but could achieve same machining accuracy.

In HIT Shenzhen campus the work on research and development on PKM are still continued, a novelHybrid Platform-based PKM was patented and developed in 2007, which include a 4-DOF parallel mecha-nism as the worktable of the machining part, and the electric spindle could provide one translational DOF,so that the machine tool is capable of implementing 5-axis machining. Some of the related research work onparallel robot is also introduced in the talk.

Advances in High Performance Robotic Machine Tools

Dan ZhangFaculty of Engineering and Applied Science

University of Ontario Institute of Technology, Canada

Research and development of various parallel mechanism applications in engineering are now being per-formed more and more actively in every industrial field. High performance robotic machine tools developmentis considered a key technology of robot applications in manufacturing industry in the future.

In this talk, first, the basic concepts and definitions of serial robot, parallel robot and parallel roboticmachines are introduced. Then the examples of serial/parallel robots and serial/parallel machines are il-lustrated, and their comparisons are conducted. The rational of using parallel robots for machine tools isanalysed. A comparative study is carried out on some successful robotic machine tools and conventionalmachine tools including Tricept, Delta robot etc. Finally, the conceptual design and synthesis of high per-formance robotic machine is introduced.

Motion Trajectory Description and Recognition

Youfu LiDepartment of Manufacturing Engineering and Engineering Management

City University of Hong Kong, China

Motion trajectory description plays an important role in characterizing human or robot actions andbehaviors. However, effective descriptors are currently lacking that can fully depict spatial trajectories in3D. In this work, we propose a novel signature for free form trajectory description in Euclidean space.The signature admits rich invariants due to the computational locality. By implementing the approximatesignature, the noise-sensitive high order derivatives are avoided. The trajectory can then be recognizedbased on the customized signatures similarity metric. Experiments are conducted to verify the signature’seffectiveness and robustness in 3-D trajectory description and recognition.

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Workshops on Mechatronics

Distributed Multipole Modeling Method for Design andControl of Multi-DOF Electromagnetic Actuators

Kok-Meng LeeGeorgia Institute of Technology, USA

Design and control of multi degrees of freedom (DOF) electromagnetic actuators require a good under-standing of the magnetic fields, and involve real-time calculation of magnetic forces. This talk discussesa new method to derive closed-form solutions for characterizing the magnetic field of permanent magnets(PM), and their uses in modeling the magnetic torque of PM-based actuators and sensing systems. Themethod, referred here as distributed multi-pole (DMP) model, inherits many advantages of the dipole modeloriginally conceptualized in the context of physics, but provides an effective means to account for the shapeand magnetization of the physical magnet. The DMP models have been validated by comparing the calcu-lated fields and magnetic forces against numerical and experimental results. The comparisons show excellentagreement. We also illustrate the application of the DMP model in developing an accurate torque modelto faithfully simulate the transient response of a spherical motor, and as a basis for deriving a closed-forminverse torque model for its real-time motion control.

Dynamic Visual Servoing of Robotic Systems

Yun Hui LiuDepartment of Engineering

The Chnese University of Hong Kong, China

Dynamic visual servoing is a problem of designing visual servo controllers for robotic systems whileconsidering its nonlinear dynamics. Most existing visual servoing methods do not consider the nonlineardynamics. This talk will introduce our recent efforts on dynamic visual servoing of robotic systems for bothcalibrated and uncalibrated cameras. In particular, we will introduce the concept of depth-independentinteraction matrix to map the image errors onto the actuator space of the robotic systems. The conditionswill be derived under which the depth-independent interaction matrix can be linearly parameterized by theunknown camera and geometric parameters so that an adaptive algorithm can be developed for on-line esti-mation of the unknown parameters. The asymptotic stability of the system will be proved by the Lyapunovtheory and the experiments will be demonstrated.

Energy Harvesting from Vibration for Wireless Sensor Networks

Wei-Hsin LiaoThe Chinese University of Hong Kong, China

Wireless sensor networks (WSNs) have drawn significant attention in monitoring plants, resources, andinfrastructures. Traditional electrochemical batteries are usually used in powering the WSNs. But replacingbatteries, due to their limited lifetime, is very inconvenient. The labor and cost associated with chang-ing hundreds or thousands of batteries would be troublesome and expensive in maintaining the networks.Moreover, in many cases, the WSNs are installed in the remote areas, thus it is difficult to retrieve forbattery replacement. Without replacing batteries, the WSNs will stop working as soon as the power runsout. Therefore, it is desired that the WSNs can acquire energy from the ambient environment to have aperpetual power supply. Considering the needs, to harvest the power from the vibration environment wouldbe a convenient means to supply the power for the sensor network. While there are several options forharvesting the ambient vibrational power, piezoelectric materials have been of great interest and promise.

As an alternative to renewable energy, energy harvesting from vibration using piezoelectric materialswere investigated. Piezoelectric power generators are used to transfer the mechanical energy from vibration

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into electrical energy. Power generators were designed with piezoelectric materials, integrated with efficientenergy harvesting circuits and energy storage devices. Power generating abilities were evaluated. Experi-mental efforts were carried out to implement the synthesized systems with piezoelectric power generators.The results of our studies are beneficial for advancing the remote sensing technology of various systems suchas wireless sensor networks. The application of piezoelectric materials to the development of self-poweredtechnique would be advantageous as batteries could be replaced to supply power for mobile and wirelessmicrosystems. Without using batteries, the self-powered systems will be more environmentally friendly byutilizing the otherwise wasted mechanical energy from the vibration sources.

An In-pipe Inspection Robot based on Adaptive Mobile Mechanism:Mechanical Design and Basic Experiments

Shugen Ma

A robot has been developed for the purpose of performing the internal inspection tasks of pipelines.Adaptability and efficiency are the basic considerations for this robot. The proposed adaptive mobile mech-anism equipped with one actuator can perform two working modes, a normal working mode and an assistantenhanced mode. Robot under the normal working mode is used for moving in pipe or monitoring the innersurface of the pipe. On the other hand, robot under the assistant enhanced mode will produce a larger torqueto help itself surmount an obstacle in the pipe without any other driving actuator. This special feature isachieved by applying a power transmission mechanism.

Development of Flapping and Underwater Robots using Piezoelectric FiberComposite

Aiguo Ming

Piezoelectric fiber composite is a new flexible smart material with large displacement. Compared withconventional artificial muscles, the piezoelectric fiber composite can be used for composing powerful flap-ping and underwater robots with a very simple and compact structure. The development of flapping andunderwater robots is given in the talk. By pasting the thin and flexible composite on to a structure, flappingand meandering motions observed in creatures such as birds and fishes can be realized. The mechanismdesign, control method and experimental results of the robots using piezoelectric fiber composite based onthe principle of creatures are introduced.

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Author Index

A

Agapitos, Alexandros . . . . . . . . . . . . . . . . . . . . . . . . 22Aksyonov, Konstantin . . . . . . . . . . . . . . . . . . . . . . . .62Aksyonova, Olga . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62Aruga, Tomohisa . . . . . . . . . . . . . . . . . . . . . . . . . . . . .38

B

Bai, Yicheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40Bi, Sheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Bi, Shusheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Bi, Zhuming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Bian, Xinqian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Boesch, Ruedi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Bykov, Eugene . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62

C

Cai, Yanfei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .22Cameron, Craig . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Cao, Didi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Cao, Hongyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .37Cao, Jun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .44Cao, Yi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Chang, Wen-Jer . . . . . . . . . . . . . . . . . . . . . . . . . . 49, 55Chao, Yuyan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36Chen, Bo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Chen, Dan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Chen, Guohua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62Chen, Hao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Chen, Hong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Chen, Hongmei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Chen, Huan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43Chen, Jia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62Chen, Jianhui . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40, 53Chen, Jiankui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Chen, Jingdong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Chen, Lede . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54Chen, Liangyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55Chen, Lihua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Chen, Lingling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Chen, Meili . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Chen, Min-Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .49Chen, Muhua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Chen, Shulin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Chen, Tieniu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .57Chen, Weifeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Chen, Wenbing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Chen, Xi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Chen, Xiaoquan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Chen, Xuechao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Chen, Xuedong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Chen, Yali . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Chen, Yaowu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9

Chen, Youping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Chen, Yuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Chen, Yuliu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Chen, Yunjie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .44Chen, Yuping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Chen, Zhenyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Cheng, Danny . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Cheng, Hongli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Cheng, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Cheng, Yi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .38Cheng, Yongmei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Chiou, Juing-Shian . . . . . . . . . . . . . . . . . . . . . . . . . . 29Chotiprayanakul, Pholchai . . . . . . . . . . . . . . . . . . . 65Cleghorn, William . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Cong, Peitian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Cui, Rongxin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Cui, Yongzhi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

D

Dahmen, Christian . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Dai, Shuguang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Dai, Wenzhan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .24Dai, Xianzhong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Dai, Xiaoling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16de Melo, Leonimer Flavio . . . . . . . . . . . . . . . . . . . . 37Di, Haiting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Dillmann, Rudiger . . . . . . . . . . . . . . . . . . . . . . . . . . . 36Ding, Kang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54, 60Ding, Wanfu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Ding, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .65Ding, Xuanhao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .52Ding, Yuhan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Dissanayake, Gamini . . . . . . . . . . . . . . . . . . . . . . . . . 21Dong, Xinmin . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12, 30Dong, Zaili . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7Dorrah, Hassen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Du, Jiguang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Du, Qungui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Du, Shaohua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Du, Sumei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Du, Xiaozhi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Du, Yue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Duan, Niejing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Duarte, Isabel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34Dun, Yi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .53

E

F

73

Fan, Yichen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Fang, Chun-Hsiung . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Fang, Huajing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Fang, Laihua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .41Fang, Yuefa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57Fatikow, Sergej . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Fei, Zhigen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Feng, Ding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Feng, Fang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Feng, Yuchun . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59, 65Feng, Zhilin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Ferreira, Paulo . . . . . . . . . . . . . . . . . . . . . . . . . . . 34, 52Filaretov, Vladimir . . . . . . . . . . . . . . . . . . . . . . . . . . 41Foissotte, Torea . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Fu, Jinlin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Fu, Yili . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Fu, Yingying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

G

Gabr, Walaa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Gai, Yuxian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Gao, Bo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Gao, Chen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55Gao, Jiaquan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3, 66Gao, Junyao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9, 43Gao, Lei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59Gao, Meijuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50Gao, Qingji . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Gao, Xiaoying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36Gao, Xueshan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43Gao, Yahui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Gao, Yan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Gao, Zhen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Gao, Zheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Gautam, Sainyam . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55Ge, Peinan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Ge, Yu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .45Ge, Yunjian . . . . . . . . . . . . . . . . . . . . . . . 11, 25, 34, 45Gibson, R. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Ginzler, Christian . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Gong, Na . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Gong, Zhiguo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Greytak, Matthew . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Guan, Yisheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Gui, Weihua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43Gunawan, Hariyanto . . . . . . . . . . . . . . . . . . . . . . . . . 32Guo, Dan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Guo, Junjie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Guo, Ruifeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Guo, Sen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11, 33Guo, Shuxiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Guo, Xin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

H

Haemmerle, Enrico . . . . . . . . . . . . . . . . . . . . . . . . . . .23Han, Baoling . . . . . . . . . . . . . . . . . . . . . . . . . 34, 45, 63Han, Guangping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Han, Jian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Han, Jianda . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .31Han, Junwei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65Han, Rongcang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Han, Songchen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Hao, Minghui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Hao, Shuanghui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Hao, Yingming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9He, Bin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7He, Bo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31He, Guangping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .64He, Jingfeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65He, Kejing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19He, Lifeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36He, Peng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .63He, Qing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44He, Renjie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45He, Shijun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25He, Wenqiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25He, Yong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8He, Yuqing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Hoai, Nghia Duong . . . . . . . . . . . . . . . . . . . . . . . . . . 20Hong, Jing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Hong, Li . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Hong, Shiliang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Hou, Bing-Kuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Hou, Chunping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Hou, Di . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Hou, Ligang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Hover, Franz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3, 54Hsiao, Fu-Sheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Hu, Chao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11, 21Hu, Hongjie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .49Hu, Hongsheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Hu, Huosheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22, 43Hu, Jun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .35Hu, Jwu-Sheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Hu, Jwusheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .24Hu, Yi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Hu, Ying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15Hua, Guoran . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15Hua, Jianning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .65Huang, Chaobin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9Huang, Chong-Yu . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Huang, Donghai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Huang, Gengbao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Huang, Hailin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57Huang, He . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Huang, Jian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6Huang, Jin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .25Huang, Luyue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .31Huang, Qiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Huang, Shaoping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

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Huang, Shiqi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Huang, Shoudong . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Huang, Weida . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8Huang, Xiaodong . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Huang, Xiguang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Huang, Xin-Yuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Huang, Yan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Huang, Yi-Cheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Hui, Weihua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Huo, Yingyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

I

J

Jahanian, Ali . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Jesus, Bruno . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34Ji, Hongbing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54Ji, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42, 44Ji, Zhe . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Jia, Qingxuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .37Jiang, Liqun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Jiang, Xuezheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Jiao, Weidong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .38Jie, Shen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .45Jin, Hai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Jin, Jun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65Jin, Shijiu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Jin, Xuebo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Jin, Y. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Jing, Qiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40Jing, Rong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Junior, Jose Fernando Mangili . . . . . . . . . . . . . . . 37

K

Kabir, S. M. Lutful . . . . . . . . . . . . . . . . . . . . . . . . . . 42Kanchi, Saroja . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Kang, Jiayu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .17Kau, Shih-Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Khalighi, Sirvan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Khan, Tareq Hasan . . . . . . . . . . . . . . . . . . . . . . . . . . 42Kheddar, Abderrahmane . . . . . . . . . . . . . . . . . . . . . . 5Kim, Joon Ki . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14, 30Kim, Jun Ki . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Kong, Lingfu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Ku, Cheung-Chieh . . . . . . . . . . . . . . . . . . . . . . . 49, 55Kuang, Yongcong . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Kurakane, Norio . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38

L

Lam, Loi-Tun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Lang, Xianpeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Latif, Hemin Omer . . . . . . . . . . . . . . . . . . . . . . . . . . .51Lau, Daniel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Lau, Haye . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Le, Fuliang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5Lebedev, Alexander . . . . . . . . . . . . . . . . . . . . . . . . . . 41Lee, Hyoung Ho . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .29Lee, Hyung Ho . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .30Lee, June Won . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Lee, Mingtang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Lei, Jianhe . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Li, Baopu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Li, Beizhi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 32Li, Bin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21, 36Li, Bing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 57, 66Li, Changyou . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Li, Cheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Li, Chengan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Li, Chun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Li, Congli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Li, Dedi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .49Li, Deqiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Li, Dongmei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Li, Hang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Li, Hongjun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .45Li, Hongxing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Li, Hongyi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37, 65Li, Howard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51Li, Jian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Li, Jiangang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Li, Jincheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Li, Jinyun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Li, Junfeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Li, Ke . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Li, Kejie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5, 55Li, Li . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Li, Lifu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Li, Lin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54Li, Manhua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4, 16Li, Qi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Li, Qing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Li, Rui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .56Li, Shaofa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15Li, Shouyong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Li, Shouzhong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40Li, Teng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Li, Tun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Li, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Li, Wenfang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .30Li, Wenlong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Li, Xiaoju . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Li, Xiujuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Li, Xiyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34, 45Li, Xun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Li, Y. F. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Li, Yanan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Li, Yangmin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .21, 57Li, Yi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Li, Yong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Li, Yuanyuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

75

Li, Zexiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9Li, Zhibin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13, 55Lian, Zhenyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Liang, Bin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Liang, Huawei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Liang, Junrui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Liang, Mingjie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37Liang, Peng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Liang, Qiaokang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Liang, Yan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Liang, Yingju . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37Liang, Yongsen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Liang, Zhenjun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6Liao, Kaijun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Liao, Qizheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Liao, Wei-Hsin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Lin, Chien-Chou . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Lin, Guo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Lin, I. C. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Lin, T. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .63Lin, Weiyang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Lin, Yongping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .58Lin, Yuesong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Lin, Zijing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Liu, Chunxiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Liu, Dahui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41Liu, Dikai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21, 65Liu, Fang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Liu, Guanfeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57Liu, Hongbin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Liu, Houde . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8Liu, Hugh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .55Liu, Huiying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Liu, Jian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Liu, Jianwei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .62Liu, Jin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Liu, Jinxing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .30Liu, Li . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21, 60Liu, Limei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Liu, Nengfeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50Liu, Ning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Liu, Qifeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5Liu, Shirong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51Liu, Shuang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51Liu, Sining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Liu, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11, 33Liu, Weiyi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .54, 58Liu, Xiaoming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Liu, Yixing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7, 44Liu, Yong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Liu, Yun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Liu, Yunhui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Liu, Zhiqiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50Liu, Zhiyong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Liu, Zhiyuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Liu, Zhuangzhi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .17

Liu, Zhun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36Lotfi, Ahmad . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51Lou, Yunjiang . . . . . . . . . . . . . . . . . . . . . . . . 13, 32, 57Lu, Chi-Chiuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Lu, Dong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Lu, Huacai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4, 16Lu, Huimin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37Lu, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Lu, Xin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Lu, Xinqiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .59Lucas, Simon . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Luo, Lei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Luo, Qingsheng . . . . . . . . . . . . . . . . . . . . . . . 34, 45, 63Luo, Ronghua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .43Luo, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .44Luo, Xin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Lv, XiaoLong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Lv, Zehua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .56

M

Ma, Chunmiao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Ma, Hongxu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Ma, Long . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Ma, Qianli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Ma, Shugen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Ma, Xiaoyan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46, 52Maabi, Somayyeh . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Mak, Peng Un . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Mak, Pui In . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .58McTotal, P. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Mei, Jiangpin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Meng, Dezhi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Meng, Hao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Meng, Lei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .25Meng, Max Q.-H. . . . . . . . . . . . . . . .6, 11, 21, 23, 29Meng, Yan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43Mi, Linan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Mills, James . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Min, Huaqing . . . . . . . . . . . . . . . . . . . . . . . . . . 5, 37, 43Ming, Aiguo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Minor, Mark . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

N

Na, Wenbo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .12Ngok, Patrick . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Ni, Yunfeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Nie, Jie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34Nie, Qi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36Niu, Dongxiao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Nong, Wenshang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

O

Ou, Meifang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63

P

76

Pagac, Daniel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Pan, Cunhai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Pan, Haipeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Pan, Jian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Pan, Quan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Pan, Yinzi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Park, Hong Bae . . . . . . . . . . . . . . . . . . . . . . 14, 29, 30Park, Seong-Bae . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Park, Seung Taek . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Peng, Benxian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65Peng, Chao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Peng, Hong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Peng, Hui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Peng, Jianjun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Peng, Xiaohong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Peng, Yan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Pratley, Tim . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Pu, Jiexin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Pun, Chi-Man . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24, 46

Q

Qi, Dongxu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40Qi, Guangping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55Qi, Lin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Qi, Yong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Qian, Huanyan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .14Qian, Suxiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .42Qiao, Guohui . . . . . . . . . . . . . . . . . . . . . . . . . . . . .19, 40Qiao, Yukun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Qin, Guohua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Qiu, Anping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Quan, Jianzhou . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

R

Raghuraman, Saaisree . . . . . . . . . . . . . . . . . . . . . . . .50Rahman, Md. Wasi-ur- . . . . . . . . . . . . . . . . . . . . . . 42Rahman, Mohammad Tanvir . . . . . . . . . . . . . . . . . 42Ran, Hongge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Reed, Mike . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Ren, Chunyun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Ren, Hongliang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Ren, X. L. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64

S

Sa, Jiming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Sanjabi, Mersedeh . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Satoh, Motoo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Shang, Wen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51Shao, Kang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Shao, Ming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Shao, Zhixiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Shen, Jian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Shen, Wenhao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Sheng, Wanxing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Sheng, Weihua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22

Sherkat, Nasser . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51Shi, Guanglin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Shi, Haiqing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Shi, Hongxin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Shi, Jun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Shi, Lei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Shi, Qin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Shi, Xianjiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40Shi, Xiaohong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .40Shi, Yonghua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Shi, Zhelin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Shi, Zhongzhi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Shiu, Sheng-Yu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Smoliy, Elena . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62Song, Haige . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Song, Lianmei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Song, Peng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .33Song, Ping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55, 62Song, Quanjun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Song, Ruixia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Song, Zhangjun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Spitsina, Irina . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62Sriram, Sivaraman . . . . . . . . . . . . . . . . . . . . . . . . . . . 50Stasse, Olivier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Strand, Marcus . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36Su, Chun-Yi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Su, Liying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Su, Yan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Su, Yi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Sun, Dong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51Sun, Hanxu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37Sun, Minglei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19, 40Sun, Ruying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Sun, Shanlin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Sun, Shiping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Sun, Yafei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8Sun, Yanli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Sun, Ye . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Sun, Zhaojun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34

T

Takeuchi, Hideno . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Tan, Jindong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9Tan, L. Q. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Tan, Qingpin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Tan, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Tan, Yuejin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Tang, Jinshan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .46Tang, Meng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Tang, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11, 36Tang, Xinmin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Tang, Xusheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Tang, Zesheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40Taylor, Josh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54Theodoridis, Theodoros . . . . . . . . . . . . . . . . . . . . . . 22Tian, Jingwen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50

77

Tian, Longqiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Tian, Yantao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5Ting, Yung . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Tong, Xufeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Tu, Junjun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42, 44Tunnell, Robert . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

U

U, Kin Tak . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

V

Vai, Mang I . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Vieira, Jose . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34, 52Vijayarangan, Rajkumar . . . . . . . . . . . . . . . . . . . . . 50Vong, Chi-Man . . . . . . . . . . . . . . . . . . . . . . . . . . . 56, 62

W

Wada, Naoyuki . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Wan, Bo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Wan, Feng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Wan, Peng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Wang, Boyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Wang, Cheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15, 56Wang, Chunmei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .52Wang, Congfei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Wang, Dangwei . . . . . . . . . . . . . . . . . . . . . . . . . . 46, 52Wang, Feng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Wang, G. Q. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Wang, Guanglong . . . . . . . . . . . . . . . . . . . . . . . . 40, 53Wang, Guochao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59Wang, Guoqiang . . . . . . . . . . . . . . . . . . . . . . . . . 17, 29Wang, Guorong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Wang, Heyong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Wang, Hong . . . . . . . . . . . . . . . . . . . . . . . . . . . 7, 38, 59Wang, Huiyuan . . . . . . . . . . . . . . . . . . . . . . . . . . 34, 52Wang, Jingguo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Wang, Jingkai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Wang, Jinhui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Wang, Jinjing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Wang, Jinjun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Wang, Jinkuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .11Wang, Jiong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Wang, Keqi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Wang, Kuo-Yang . . . . . . . . . . . . . . . . . . . . . . . . . . . . .29Wang, Lei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54Wang, Lidai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Wang, Liquan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .25Wang, Lizhen . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54, 58Wang, Lujia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Wang, Maobin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50Wang, Mengxiao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Wang, Michael Yu . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Wang, Peng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Wang, Sen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Wang, Shicheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

Wang, Shilin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43Wang, Sun’an . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Wang, Sunfeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .44Wang, Wancheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Wang, Wanshan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Wang, Wensheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . .16Wang, Xi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .11, 36Wang, Xianquan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59Wang, Xiaojuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Wang, Xiaoling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59Wang, Xiaonan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Wang, Xiaoping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .12Wang, Xin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50, 66Wang, Xinyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9wang, Xiuyun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Wang, Xu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .63Wang, Xulei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Wang, Yintao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Wang, Yuechao . . . . . . . . . . . . . . . . . . . . . . . . . . .21, 65Wang, Zhaohui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .46Wang, Zhaoxia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62Wang, Zhongbin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Wang, Zhongli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Wang, Zuyuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Waser, Lars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Wei, Boyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43Wei, Jia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Wei, Shimin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Wei, Yangjie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Wei, Yonghe . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34Wei, Zhiqiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34Wei, Zuo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .20Wen, Hui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Wen, Jing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .25Weng, Xiaoxiong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Wieber, Pierre-Brice . . . . . . . . . . . . . . . . . . . . . . . . . . 5Wong, Chi Man . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Wong, Pak-Kin . . . . . . . . . . . . . . . . . . . . . . . . . . .56, 62Wortmann, Tim . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Wu, Changhua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Wu, Chengdong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Wu, Huihui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Wu, Jianhua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Wu, L. F. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 41Wu, Lingfei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Wu, Min . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59Wu, Minghong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Wu, Ning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Wu, Qingxiao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Wu, Shandong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Wu, Wen-Yuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55Wu, Wuchen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Wu, Xiaojuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Wu, Xiaojun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33, 62Wu, Xin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Wu, Xinggang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59

78

Wu, Xinyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Wu, Xuetao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .49Wu, Yuanqing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57Wu, Zongzhi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41

X

Xi, Anmin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Xi, Ning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65Xia, Xiaohu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Xiao, Debao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Xie, Hongwei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Xie, Min . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Xie, Ming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55, 56Xie, Nengfu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Xie, S. Q. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Xie, Shane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Xie, Wen-Fang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Xie, Xiaopeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .32Xie, Xinping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Xing, Zhiwei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Xiong, Xiaofeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .13Xiong, Youlun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3, 12Xu, Aidong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Xu, Bo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42Xu, Chongan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6Xu, Demin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Xu, Fengyang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41Xu, Gang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Xu, Haili . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15Xu, Hui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .14Xu, Huosheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Xu, Jing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Xu, Ming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55Xu, Qingxiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Xu, Rui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Xu, Shunjie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Xu, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5Xu, Wenfu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Xu, Xiaohong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Xu, Xiaoyun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35, 60Xu, Yangsheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Xu, Yifan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Xu, Yuetong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Xu, Yufeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54Xu, Zhangsui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40Xuan, Bac Nguyen . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Xue, Yunfeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Y

Yan, Heping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Yan, Huaicheng . . . . . . . . . . . . . . . . . . . . . . . . . . 23, 29Yan, Lei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Yan, Q. W. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Yan, Qingwen . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41, 53Yan, Shuhua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59

Yan, Weisheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Yan, Zhongmin . . . . . . . . . . . . . . . . . . . . . . . . . . .19, 25Yang, Bo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Yang, Chia-Hsing . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Yang, Feng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Yang, Ke . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Yang, Peng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Yang, Quan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41Yang, Quanfa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Yang, Seung Hyeop . . . . . . . . . . . . . . . . . . . . . . . . . . 14Yang, Shaowu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .37Yang, Wenjian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Yang, Wenjun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .53Yang, Xia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Yang, Xiaojun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Yang, Xiushun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Yang, Xuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Yang, Xusheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .17Yang, Yahong . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50, 66Yang, Yanna . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Yang, Zhengying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65Yang, Zhijian . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54, 60Yang, Zhixiao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65Yao, Wenli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Yao, Xifan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Yao, Zhenqiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Ye, Feng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62Ye, Jun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Ye, Lin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Ye, X. C. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Ye, Xiufen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Ye, Xuehui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .20Ye, Yaqin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Ye, Yixi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .42Yi, Dun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .40Yin, Zhouping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3, 12You, Dongdong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Yu, Dong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Yu, Fan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36Yu, Fengqi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59, 65Yu, Guoxian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Yu, Haibin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14, 59Yu, Haipeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7, 44Yu, Jingjun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Yu, Jun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41Yu, Shiqi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5Yu, Shumei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Yu, Tianbiao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .61Yu, Ting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59, 65Yu, Yong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34Yu, Yueqing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Yu, Zhangguo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Yuan, Kui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Yuan, Mingzhe . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .59Yuan, Pingpeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Yuan, Qingke . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41

79

Yuan, Shuai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .21Yuan, Xiaobu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50Yun, Yuan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57

Z

Zapata, Rene . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43Zeng, Fucen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Zeng, H. F. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Zeng, Haifeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Zeng, Lingli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Zeng, Qiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57Zeng, Songsheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Zeng, Zhixin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Zhan, Ping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .49Zhan, Xianglin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Zhang, Aiqing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Zhang, Bin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5Zhang, Dan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 32Zhang, Dengpan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Zhang, Dongxia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Zhang, F. X. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41Zhang, Fubin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Zhang, Fuxue . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 53Zhang, G. B. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .64Zhang, Gang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Zhang, Genbao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Zhang, Hao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Zhang, Hong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40, 53Zhang, Hongyi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Zhang, Hui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37, 63Zhang, Huidi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51Zhang, Jian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Zhang, Jianwei . . . . . . . . . . . . . . . . . . . . . . . 13, 15, 44Zhang, Jie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Zhang, Jinsheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Zhang, Jinsong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .62Zhang, Kai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41Zhang, Kaisheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Zhang, Kunhua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Zhang, Lei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43Zhang, Li . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Zhang, Liang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9Zhang, Liangan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Zhang, Lin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Zhang, Liwei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Zhang, Ping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39, 55Zhang, Qi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30, 59Zhang, Qiuyu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Zhang, Quanhu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Zhang, Rengui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Zhang, Rui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62Zhang, Shidong . . . . . . . . . . . . . . . . . . . . . . . . . . 19, 25Zhang, Shimin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Zhang, Siquan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54Zhang, W. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 41Zhang, W. B. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66

Zhang, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .39, 53Zhang, Xianmin . . . . . . . . . . . . . . . . . . . . . . . . . . 23, 39Zhang, Xiaodong . . . . . . . . . . . . . . . . . . . . . . . . . . . . .39Zhang, Xiaotao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Zhang, Yanbin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Zhang, Yang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Zhang, Ying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Zhang, Yinig . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .22Zhang, Yinong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Zhang, Yuyang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .43Zhang, Zhisuo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Zhang, Zhonglin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Zhao, Dean . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42, 44Zhao, Dongbiao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Zhao, Duanyang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Zhao, Fuqing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50, 66Zhao, GuoLiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .33Zhao, Huibo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Zhao, Jindong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6Zhao, Kai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Zhao, Liqiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Zhao, Peng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Zhao, Shitian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Zhao, Weizhong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Zhao, Xiaochuan . . . . . . . . . . . . . . . . . . . . . 34, 45, 63Zhao, Xinjie . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40Zhao, Yan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38, 59Zhao, Yumeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Zhao, Zhaoxia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Zhao, Zixin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Zheng, Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51Zheng, Chunsong . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Zheng, Qilun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .37Zheng, Shupeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65Zheng, Xijing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Zheng, Yaqing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Zheng, Yili . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .37Zheng, Zhiqiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37Zhong, Hanru . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Zhong, Yingying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Zhong, Yong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Zhou, Chunlei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .59Zhou, Jianfeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62Zhou, Jiaxin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Zhou, Jing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61Zhou, Kui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9Zhou, Lihua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .54Zhou, Qunli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .25Zhou, Shiru . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50Zhou, Shuming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6Zhou, Shunping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Zhou, Yanhong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Zhou, Zude . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Zhu, Changan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51Zhu, Feng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Zhu, Ge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .59

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Zhu, Hongqian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43Zhu, Jianguo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43Zhu, Jinhong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Zhu, Jinhui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37Zhu, Junpeng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Zhu, Min . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Zhu, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .43Zhu, Xiaorui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43Zhu, Xinhua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Zhu, Xinping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Zhu, Zhencai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .57

Zhu, Zhiping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Zhuang, Jian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15Zhuang, Wei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Zi, Bin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57Zong, Guanghua . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40Zou, Fengxing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Zou, Junzhong . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52Zou, Xiaoping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .35Zu, Enlin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30Zu, Linan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Zuo, Lei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

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