Conference Digest - University of Alberta

Transcription

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
Additional copies may be ordered from:
IEEE Service Center
445 Hoes Lane
P.O. Box 1331
Piscataway, NJ 08855-1331 USA.
IEEE Catalog Number: CFP09833
ISBN: 978-1-4244-3608-8
Library of Congress: 2008911554
IEEE Catalog Number (CD-ROM): CFP09833-CDR
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write to IEEE Copyrights Manager, IEEE Operations Center, 445 Hoes Lane, P.P. Box 1331, Piscataway,
NJ 08855-1331. All rights reserved. Copyright2008 by the Institute of Electrical and Electronics Engineers,
Inc.
The Institute of Electrical and Electronics Engineers, Inc.
ii
Welcome Message
On behalf of the IEEE ICIA 2009 Conference Organizing Committee, we would like to
extend a warm welcome to you all to the 2009 IEEE International Conference on Information
and Automation. ICIA is still a young, but vibrant and growing international conference –
running annually since 2004 and gaining increasing international prominence. Its scope has
been broadened to emphasize the importance of information to automation research. We
are pleased to bring you the 2009 conference as a forum that facilitates timely and effective
academic and scientific exchanges among researchers in a wide range of research yields in
information science and automation engineering.
A record 681 valid submissions were made to this year’s conference, from 21 countries or
regions, 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 on
June 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 South
China, with a nickname of City of a Hundred Islands. The host city of the post-conference
workshop and activity is Macau, known as “Vegas of the East”. Zhuhai and Macau are
connected together, which is convenient for the conference participants to transfer. They
not only provide the attendees with a great venue for this event, but also an unparallel
experience in visiting the beautiful resort in South China. We are very glad that you are
joining us at ICIA 2009 in Zhuhai/Macau to live this exciting experience.
ICIA 2009 has been the effort of several sponsoring societies and organizations, many
individuals including our colleagues, volunteers and friends. We would like to take this opportunity to express our gratitude for their help and contributions.The Program Committee
members worked very hard to give their thorough review of all the submitted papers, which
is vital to the success of this conference;the members of the organizing committee dedicated
significantly their time toward ensuring the success of the conference.The financial assistance of the South China University of Technology and University of Alberta is gratefully
acknowledged.Last but not least, we would like to thank all the authors for their support
and participation in making this conference a success.This is your conference to be enjoyed
and celebrated. We wish you a great conference and pleasant stay in Zhuhai/Macau!
General Chairs
Program Chair
Hong Zhang, University of Alberta, Canada
James Mills, University of Toronto, Canada
Yangmin Li, University of Macau, China
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iv
Table of Contents
Welcome Message
ii
Advisory Board
vi
Organizing Committee
Program Committee
Conference Information
Program Schedule
Plenary I: Alex Zelinsky
Plenary II: Max Meng
Plenary III: Kok-Meng Lee
vii
ix
x
xiv
xviii
xix
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 on
Information and Automation
Honorary Chair
Yuanyuan Li
South China University of Technology, China
Advisory Board
Tzyh-Jong Tarn
Washington University, USA
Toshio Fukuda
Nagoya University, Japan
Shigeo Hirose
Tokyo Institute of Technology, Japan
Tianyou Chai
Northeast University, China
William Gruver
Simon Fraser University, Canada
Min Zhu
South China University of Technology, China
Rui Martins
University of Macau, China
vi
Organizing Committee of ICIA 2009
General Chairs
Hong Zhang, University of Alberta, Canada
James Mills, University of Toronto, Canada
General Co-Chairs
Kazuo Kosuge, Tohoku University, Japan
Xianmin Zhang, South China University of Technology, China
Kai Meng Mok, University of Macau, China
Program Chair
Yangmin Li, University of Macau, China
Program Co-Chairs
Yisheng 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 Chairs
Zhidong Wang, Chiba Institute of Technology, Japan
Lizhen Wang, Yunnan University, China
Awards Chairs
Yunhui 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 Chairs
Ning Xi, Michigan State University, USA
Nilanjan Ray, University of Alberta, Canada
Youfu Li, City University of Hong Kong, China
Local Arrangement Chairs
Fengcong 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 Chairs
Melanie 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
ix
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
Conference Information
Conference Registration
The conference registration desk, located in the grand lobby on the first floor of Zhuhai Dehan Hotel, will
be open according to the schedule below for on-site registration as well as for the pre-registration attendees
to 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 Monday
to Thursday. The overall schedule is shown in the table below. Three plenary talks will be given in Room
Guohui 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 Figure
2. 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 Hotel
for Macau, and bring people back to Dehan Hotel around 5:30. It is the participants’ obligation to get their
visas 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 of
the Library.
Time/Day
Monday, June 22
Tuesday, June 23
Wednesday, June 24
June 25
Morning
Plenary I
Technical Sessions (M1)
Plenary II
Technical Sessions (T1)
Plenary III
Technical Sessions (W1)
(to Macau)
Afternoon
Workshops
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. Anything
else required must be requested by the authors.
x
Email Facilities
Wired and wireless Internet access will be available in the session rooms on the 4th floor (see Figure 2), June
22-24 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 Kong
International Airport, Macau International Airport, Guangzhou International Airport, and Shenzhen International Airport. Zhuhai Airport serves mostly domestic routes, and is one hour from the city of Zhuhai by
shuttle 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 70
minutes, 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 immigration and customs and takes you directly to Zhuhai border (Gongbei) with mainland China. From Gongbei
once 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 International
Airport, a ride of about two and a half hours for about 90 RMB. Please ask the bus driver where to get off
to 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 there
are numerous buses from Guangzhou or Shenzhen to Zhuhai, departing from various parts of the city. There
is 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. The
price 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, served
at Kaiser Western Restaurants on the second floor of conference Hotel. Additional lunch tickets can be
purchased 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. Buses
leave Dehan Hotel at 17:30 to transport conference delegates to the restaurant, and bring people back to
Dehan Hotel around 20:30. A limited number of extra dinner tickets are available to spouses and friends of
registered 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. Banquet
tickets are issued to registered delegates. In addition, a limited number of extra banquet tickets are available
to 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 of
Dehan Hotel. All delegates are invited to the reception, but the dinner portion of the evening is left to the
delegates to explore Zhuhai on their own. Information about the city is available at the hotel as well as the
registration desk.
xi
Dehan Hotel Conference Levels
Guohui
Guoyan
Figure 1: Plenary talk I will be given in Guohui Room, and the conference award banquet will be held in
Guoyan Room, both on the 5th floor.
Guosheng
Guoxiang
Guose
Guoyun
Guocui
Guowang
Guoxing
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 be
given in Guoxing Room.
xii
Program Schedule
08:30
09:00
10:00
10:20
-
09:00
10:00
10:20
12:00
12:00 - 13:30
13:30 - 15:10
15:10 - 15:30
15:30 - 17:10
Monday, June 21
Opening Ceremony – Room Guohui
Plenary I (by Alex Zelinsky) – Room Guohui
Coffee/Tea Break
M1-3
M1-4
M1-5
M1-1
M1-2
Automation
I
Control Applications I
Humanoid
Robots
M2-1
M2-2
M2-3
Automation
II
Control Applications II
Parallel
Robots I
M3-1
M3-2
M3-3
Automation
III
Control Applications III
Service
Robots
Networks & Communications I
Lunch Break
M2-4
Networks & Communications II
Coffee/Tea Break
M3-4
Networks & Communications III
Information
Acquisition I
M2-5
M2-6
Computer
Vision II
Information
Acquisition II
M3-5
M3-6
Computer
Vision III
Information
and
Signal
Processing I
10:20 - 17:10
18:30 - 20:30
M1-7, M2-7, M3-7: Poster Session I, II, III – Room Guowang
Welcome Dinner (at De Yue Fang)
09:00 - 10:00
10:00 - 10:20
10:20 - 12:00
Tuesday, June 23
Plenary II (by Max Meng) – Room Guohui
Coffee/Tea Break
T1-3
T1-4
T1-5
12:00 - 13:30
13:30 - 15:10
15:10 - 15:30
15:30 - 17:30
T1-1
T1-2
Automation
IV
Control Applications IV
Mobile
Robots I
T2-1
T2-2
T2-3
Automation
V
Control Applications V
Mobile
Robots II
T3-1
T3-2
T3-3
Automation
VI
Control Applications VI
Mobile
Robots III
18:30 - 20:30
09:00 - 10:00
10:00 - 10:20
10:20 - 12:00
12:00 - 13:30
13:30 - 15:10
15:10 - 15:30
15:30 - 17:30
Lunch Break
T2-4
Mechatronic
Systems II
Coffee/Tea Break
T3-4
Pattern
tion I
Recogni-
T1-6
Computer
Vision IV
Information
and
Signal
Processing II
T2-5
T2-6
Sensors I
Information
and
Signal
Processing III
T3-5
T3-6
Sensors II
Information
and
Signal
Processing IV
Awards Banquet (at Dehan Hotel)
W1-1
Wednesday, June24
Plenary III (by Kok-Meng Lee) – Room Guohui
Coffee/Tea Break
W1-2
W1-3
W1-4
W1-5
Intelligent
Control I
Intelligent
Systems I
Mobile
Robots IV
W2-1
W2-2
W2-3
Intelligent
Control
II
Intelligent
Systems II
Parallel
Robots II
W3-1
W3-2
W3-3
CAD/CAM
I
Intelligent
Systems III
BioRobots
17:30 - 19:00
Session Room
Mechatronic
Systems I
M1-6
Computer
Vision I
Pattern
tion II
Recogni-
Lunch Break
W2-4
Pattern
tion III
Recogni-
Coffee/Tea Break
W3-4
Mechanisms
W1-6
Sensors III
Information
and
Signal
Processing V
W2-5
W2-6
Sensors IV
Information
and
Signal
Processing VI
W3-5
W3-6
Human Robot
Interaction
CAD/CAM II
Guose
Guosheng
Farewell Reception
Guoxing
Guoyun
Guoxiang
xiii
Guocui
Local Guide to Zhuhai and Macau
The host cities of the conference are located at the central-south side of Guangdong Province, China, at
the entrance of Pearl River (Zhu Jiang) to the Pacific Ocean, as shown in the following picture.
Guangzhou
Shenzhen
Hong Kong
Zhuhai
Macau
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 tip
of 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 other
cities in Guangdong Province.
Standing on the west bank of the estuary of the Pearl River to the South China Sea, Zhuhai is a gardenlike coastal city with 146 charming islands (and hence known as a City of a Hundred Islands). With its
amazing large green area, the city is a modern ecotypic resort. The beautiful Jingshan Road and Qinglu
Road (Lovers’ Road) add romantic atmosphere to Zhuhai. In 1990s, Zhuhai City as a whole was selected as
one of the top 40 tourist attractions in China. And in 1998, it won the Dubai International Award for Best
Practices to Improve the Living Environment. Since then, Zhuhai has become known to the world as a most
suitable place for human living.
Actually, people have lived there since the Neolithic Age four or five thousand years ago. A government
administrative department was set up in the area in the Qin Dynasty (221 - 206 B.C.). During the following
centuries, 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, the
city 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 geographical location near Hong Kong and Macau, its ports with excellent conditions, its overseas Chinese
contributions, and especially the policy of reform and opening up. Foreign investment, advanced technologies and management methods stimulated the economic boom of Zhuhai. As a result, the transportation
and accommodations improved. Diversified transportation links provide a wide range of ways to get there
or to travel inside the city. A variety of star rated hotels offer convenience and enjoyment.
xiv
The superior advancement in economy promotes the development of tourism of Zhuhai. The moderate
climate of Zhuhai makes it an ideal tourist destination all year round. It has many attractions worthy of
visiting, 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, various
appealing islands are recommended such as Dong’ao Island, Gaolan Island, Qi’ao Island and Hebao Island
and so on.
Zhuhai is also famous for its hot springs and golf clubs where you can take a break from sightseeing. The
consummate tourist reception and service system offers many choices of entertainment as well. Dining and
shopping are also pleasant. Western and oriental cultures collide and combine here: an open, colorful, and
romantic Zhuhai awaits you.
Dehan Hotel
(The Conference Venue)
Zhuhai
Macau
Figure 4: A map of part of Zhuhai
⦴⍋ᖋ㗄໻䜦ᑫ
ഄഔ˖ᑓϰⳕ⦴⍋Ꮦঢ়໻䏃ো೑䰙Ӯ䆂Ёᖗ˄䜦ᑫ˅
⬉䆱˖Ӵⳳ˖
Figure 5: Zhuhai Dehan Hotel (the conference venue)
xv
Macau
The name of Macau is derived from the word Magao. It was said that in the middle of 16th century
when the Portuguese first set foot there, one of the officers asked a fisherman the name of the land. The man
misunderstanding the officer’s meaning, answered ‘Magao’ - the name of A-Ma Temple in front them. The
word became the Portuguese name for the land and for nearly 400 years, the Portuguese ruled here prior to
Macau’s official return to the People’s Republic of China on December 20, 1999 as a special administrative
region.
Compared with other Chinese metropolises like Guangzhou or Hong Kong, the land of Macau is quite
small covering an area of just 27.5 square kilometers. The total population of Macau is about 470,000 of
which 95% are Chinese, the remainder being Portuguese and other westerners. The majority resides on the
Macau Peninsular where you can find a variety of both Oriental and Western cultural and historical places
of 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 around
the Macau Peninsular will bring you into a world of antiques and fashion, traditional and modern, as well
as tranquility and glitz.
Most travelers who have been to Macau conclude that it is a location suited to both tourism and living as
it is a beautiful city with clean streets, gardens and picturesque hilly landscapes. Sunshine, clear air, green
lands 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. Popular
sightseeing places that form part of a traveler’s itinerary are spread all over the Macau Peninsular. Largo do
Senado, the splendid main square with surrounding simple, elegant Portuguese and baroque style buildings
is the busiest downtown area of the city. Clothing shops, curio markets, pharmacies, snack stalls and jewelry
shops 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 screen
wall of St. Paul’s Church and the Monte Fort, one of the best-preserved forts in Macau. The Museum of
Macau, to the right of the ruins, tells all stories on the city’s past. Situated at the base of Penha Peninsula in
the southwest part of the city is A-Ma Temple, built in the Ming Dynasty (1368 - 1644), which is dedicated
to the sacred goddess A-Ma.
In the southern part of the Peninsular, the New Reclaimed Area and the Outer Harbor Area, compared
with the more traditional central and western areas, is the newly-developed region on which the modern
aspect of the city can be found. There are many luxurious hotels housing various gambling casinos and these
venues are packed with people from all over the world when the night comes. Numerous museums in these
two areas present the essence of Macau’s culture and history including Macau Wine Museum, Grand Prix
MuseumMacau 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 bustling
peninsular. Macau Jockey Club’s horse racing attracts numerous gamblers. Hac Sa Bay and Bamboo Bay
are 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 world
including 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-known
Macau dim sum delicacies should never be missed. The Pastis de Nata (a Portuguese-style egg tart) that
originated on the outlying island of Coloane is the featured snack of the city. All kinds of dim sum ranging
from almond cake, chicken cakes, cashew cookies, sesame crackers, egg and cheese rolls are served in the
many 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 an
important feature of Macau’s economy. Surprisingly, tourists do not find the kind of razzmatazz in Macau’s
casinos as elsewhere; by contrast you can feel the expectations of gamblers from their polite manners and
the 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.
xvi
Zhuhai
Macau
Figure 6: A map of Macau
xvii
Plenary Talk I
Monday, June 22, 2009, 09:00-10:00
Room: 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 operate
with the highest levels of performance, reliability and integrity. For robotics and automation technologies to
successfully deployed into everyday situations, the general public quite rightly expect automation systems
to be fully operational 100% of the time. People expect autonomous technologies to operate at higher levels
of performance and safety than people themselves exhibit. For example smart car technologies are expected
to 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 underpin
autonomous systems that are suitable for real-world deployment. Currently, it is not yet possible to realize
an 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 that
continually check all key system parameters and variables. If the monitored parameters move outside tightly
defined bounds the system will safely shutdown, and alert the human supervisor. The failure conditions are
logged and then further testing and debugging is performed. The value and appropriateness of our approach
will be shown by a number of real-world studies.
We have demonstrated how it is possible to design computer vision systems for human-machine applications 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 have
shown how this approach has been used to design field robotic systems that have deployed in agricultural
automation, submersible marine robotics and 24/7 mining applications.
Brief Biography:
Alex Zelinsky is CSIRO’s Director of the ICT Centre. Dr Zelinsky is
extensively published and is internationally recognised as a leader in the
fields of Robotics and Computer Vision. Dr Zelinsky is recognised and
respected for the commercialisation of his ground-breaking research into
computer vision systems.
.
Dr Zelinsky has received numerous awards for his work including the Australian 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. He
is a Fellow of the Academy of Technological Sciences and Engineering;
Fellow of the IEEE and Fellow of Engineers Australia.
xviii
Plenary Talk II
Tuesday, Jun 23, 2009, 09:00-10:00
Room: 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 challenges
in the development of active capsule endoscopes and the associated automatic diagnosis system based on
images obtained by the wireless capsule endoscopes. Our recent work on the development of wireless capsule endoscope dynamic model, accurate 3D localization of the wireless capsule endoscope, and actuation
mechanisms will then be presented, together with analytical, simulation and experimental results we have
obtained. We will finish the talk with a brief summary of the contents presented and our views on future
possibilities and research opportunities in the concerned research areas.
Brief Biography:
Max Q.-H. Meng has been a Professor of Electronic Engineering at the
Chinese University of Hong Kong since August 2002. He was with the
University of Alberta in Canada as an assistant professor (1994), associate professor (1998), and professor (2000), respectively. His research
interests include robotics and medical devices. He has published over 350
international journal and conference papers. He served as an Associate
VP for Conferences of the IEEE Robotics and Automation Society and
an AdCom member of the IEEE Neural Network Council/Society. He is
a recipient of the IEEE Third Millennium Medal award and a Fellow of
IEEE.
xix
Plenary Talk III
Wednesday, June 24, 2009, 09:00-10:00
Room: 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 as
agricultural, food-processing, structural health monitoring, surgical robotics, and healthcare) present new
opportunities as well as challenges. Unlike dealing with engineering objects, developing application-oriented
automation systems (working with human-subjects and/or handling live-products and natural-objects) require well-thought designs to minimize the number of experiments. Often, such systems require fusing the
knowledge and techniques beyond traditional engineering fields. Along with several practical and emerging 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 era
of information technology (AeIT).
Brief Biography:
Dr. Kok-Meng Lee received his M.S. and Ph.D. degrees in mechanical
engineering from the Massachusetts Institute of Technology in 1982 and
1985, respectively. He has been with the Georgia Institute of Technology since 1985. As a Professor of mechanical engineering, his research
interests include system dynamics and control, robotics, automation and
optomechatronics. He holds seven U.S. patents. Dr. Lee is a Fellow of
ASME and IEEE. He is currently the Editor-in-Chief of the IEEE/ASME
Transactions of Mechatronics for which he served as an Editor from 1995
to 1999. He has held representative positions within the IEEE Robotics
and Automation Society: he founded and chaired the Technical Committees on Manufacturing Automation (1996 to 1998) and on Prototyping
for Robotics and Automation; and served as Chair or Co-Chair for numerous international conferences and on the AIM Conference Advisory
Committee since 2000. His awards include Presidential Young Investigator (PYI) Award, Sigma Xi Junior
Faculty Award, International Hall of Fame New Technology Award, and the Woodruff Faculty Fellow. He
was also recognized as an advisor for seven Best Student Paper Awards and a Best Thesis Award.
xx
Monday
June 22, 2009
2009 IEEE International Conference on Information and Automation
ICIA 2009
1
Monday, June 22, 2009
Time
10:20 - 12:00
13:30 - 15:10
15:30 - 17:10
Room
Session
Session Title
Guoxing
M1-1
Automation I
3
Guoyun
M1-2
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
Guoxing
M2-1
Automation II
11
Guoyun
M2-2
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
Guoxing
M3-1
Automation III
19
Guoyun
M3-2
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
Page
Session: M1-1
Monday, June 22, 10:20 - 12:00
Automation I
Chairs: Youlun Xiong, Jiaquan Gao
Room: Guoxing
10:20 - 10:40
10:40 - 11:00
WBMOIGA: Weight-Based Multiobjective
Immune Genetic Algorithm and its Application
Jiaquan Gao
Research on Distribution Structure of Application
Service Provider Platforms Based on
Manufacturing Grid
Wei Tan and Xifan Yao
The study presents a weight-based multiobjective
immune genetic algorithm (WBMOIGA). For WBMOIGA, it can alleviate difficulty many weight-based
approaches face by two new schemes: tournament selection algorithm with similar individuals and truncation
algorithm with similar individuals. Numerical results
show WBMOIGA outperforms NSGA-II and RWGA.
With focus on resource application, this paper studies
the problem of resource discovery in broad area. we
propose a multi-level tree overlay network structure for
ASP deployment, whose nodes are highly autonomous
and mutually supportive. Lamination retrieval and
multi-spot discovery in broad area for resources can be
realized through this structure.
11:00 - 11:20
11:20 - 11:40
A Comparison of Nonlinear Filtering Approaches
for Radar Target-Tracking Performances
Huibo Zhao, Quan Pan, Yan Liang and Yongmei Cheng
Planning to Learn: Integrating Model Learning
into a Trajectory Planner for Mobile Robots
Matthew Greytak and Franz Hover
Nonlinear problem is a hot and difficult topic in radar
target tracking fielding. In this paper, we mainly compared classical tracking methods combining with RJMCMC method, including the PF, EKF-PF, UKF-PF
techniques . Simulations on maneuvering target radar
tracking are carried out to validate the performance of
the proposed scheme
We present a path planning algorithm for a simple mobile robot that performs online model learning. If the
convergence rate of the learning algorithm can be predicted for each candidate plan, then the planner automatically incorporates active learning strategies into
the optimal plan.
11:40 - 12:00
Adaptive Distance Function and its Application in
Free-Form Surface Localization
Wenlong Li, Zhouping Yin and Youlun Xiong
In this paper, a new distance function is defined to approximatively describe the distance between updated
point and corresponding surface model. Our distance
function constitutes of point-plane distance in normal
direction and compensated distance in tangent plane.
The performances are confirmed by a series of simulation experiments.
Guoxing
3
Session: M1-2
Monday, June 22, 10:20 - 12:00
Chairs: Chun-Hsiung Fang, Hassen Dorrah
Room: Guoyun
10:20 - 10:40
10:40 - 11:00
Stabilization of Discrete-Time Nonlinear Control
Systems
Chun-Hsiung Fang, Shih-Wei Kau, Sheng-Yu Shiu,
Chi-Chiuan Lu and Xin-Yuan Huang
Fuzzy Tracking Control Design
Shih-Wei Kau, Sheng-Yu Shiu, Chi-Chiuan Lu, Xin-Yuan
Huang and Chun-Hsiung Fang
The tracking control problem of T-S fuzzy systems is
solved in the paper. A new method is proposed to
improve the existing result. All the designed conditions
are expressed in the form of LMIs. From the simulation
example, it can be seen that the proposed approach
tracking performance.
This paper deals with the stabilization problem for
discrete-time nonlinear systems that are represented
by the Takagi -Sugeno fuzzy model. By the multiple
fuzzy Lyapunov function and the three-index algebraic
combination technique, a new stabilization condition is
developed. The condition is expressed in the form of
linear matrix inequalities (LMIs) and proved to be less
conservative than existing results in the literature. Finally, a truck-trailer system is given to illustrate the
novelty of the proposed approach.
11:00 - 11:20
11:20 - 11:40
Fuzzy PID Controller Design for PMLSM Direct
Drive System
Huacai Lu and Manhua Li
Development of Fuzzy Logic-Based Arithmetic
and Visual Representations for Solving Quadratic
Programming in Fully Fuzzy Environment
Hassen Dorrah and Walaa Gabr
A fuzzy PID controller is designed by combined fuzzy
control with conventional PID control for the Permanent Magnet Linear Synchronous Motor direct drive
system. Simulated and experimental results show that
the controller has strong dynamic steady performance,
and strong robustness to external disturbance.
This paper presents the development of fuzzy logic representations using the notion of normalized fuzzy matrices developed by Gabr and Dorrah for solving quadratic
programming problems in a fully fuzzy environment.
The first is the arithmetic type based on dual cell representation, expressed by replacing each parameter with
the pair (Actual Value, Fuzzy Level). The second is
the visual type based on colored cells representation.
11:40 - 12:00
Differentially Flatness-Based Trajectory Control a
2-Degree of Freedom Gantry Crane Robot
Yaqing Zheng
Detailed analysis of the differential flatness of a 2
degree-of-freedom gantry crane robot on the basis of
its nonlinear dynamic model is given. The feedforward
controller and feedback trajectory tracking controller
are analyzed. The simulation results have proven the
correctness of the theoretical conclusions.
Guoyun
4
Session: M1-3
Monday, June 22, 10:20 - 12:00
Humanoid Robots
Chairs: Qiang Huang, Xiaorui Zhu
Room: Guoxiang
10:20 - 10:40
10:40 - 11:00
Numerical Method to Estimate the Initial State of
the Stable Gaits for the Underactuated Biped
Robot with Knees
Limei Liu and Yantao Tian
Multi-Objective Optimization for a Humanoid
Robot Climbing Stairs Based on Genetic
Algorithms
Sheng Bi, Huaqing Min, Qifeng Liu and Xijing Zheng
To estimate a initial state of the stable gaits for the
biped robot with knees, a new numerical method is
proposed in this paper. It is based on the theories of
cell mapping and Poincar return map. Experimental
results verified the validity of this method.
A new method of gait optimization for a humanoid
robot climbing stairs based on multi-objective(zero moment point (ZMP) and energy minimization) Genetic
algorithm(GA) was proposed in this paper. The simulation results showed the feasibility and effectiveness of
the method.
11:00 - 11:20
11:20 - 11:40
A Humanoid Mini-Walking Robot with a Stick
Fuliang Le, Xinyu Wu, Shiqi Yu, Bin Zhang and
Yangsheng Xu
Using NEWUOA to Drive the Autonomous Visual
Modeling of an Object by a Humanoid Robot
Torea Foissotte, Olivier Stasse, Pierre-Brice Wieber and
Abderrahmane Kheddar
This paper describes a compact mini-walking robot
with Barbie’s shape, and its walking is realized with
only one actuator. The first remarkable feature of this
robot is the total weight and dimension of the proposed
mechanism is expected to be lighter and smaller than
other mini-walking robots. Secondly, the proposed leg
mechanism in the robot can work smoothly as human
with only one DOF.
This paper presents a significant amelioration of our algorithm aiming at building autonomously visual models of unknown objects, with a humanoid robot. Our
Next-Best-View solution, relying on two different optimization methods, is modified in order to improve the
robustness while broadening the cases that can be handeld.
11:40 - 12:00
On-Line Trajectory Generation for a Humanoid
Robot 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 and
smooth locomotion trajectory through linking basic offline patterns together considering stability constraints
by spline interpolation. The robot makes a selection of
one basic pattern which can be link with the current
locomotion pattern according to stability constraints
and route requirements.
Guoxiang
5
Session: M1-4
Monday, June 22, 10:20 - 12:00
Networks and Communications I
Chairs: Max Q.-H. Meng, Weifeng Chen
Room: Guocui
10:20 - 10:40
10:40 - 11:00
An Improvement of DV-Hop Algorithm Based on
Collinearity
Lingfei Wu, Max Q.-H. Meng, Jian Huang, Huawei Liang,
Chao Peng and Zijing Lin
The Conditional Diagnosability of Mobius cubes
under the Comparison Model
Shuming Zhou
The growing size of the multiprocessor systems increases their vulnerability to component failures. It
is crucial to locate and to replace the fault processors
to maintain systems high reliability. The fault diagnosis is the process of identifying fault processors in a
system through testing. The conditional diagnosis requires that for each processor v in a system, all the
processors that are directly connected to v do not fail
at the same time.
In order to fully consider the topology relationship
among the anchor nodes, an Improvement of DV-Hop
Algorithm Based on Collinearity is proposed, in which
we introduce the concept of normalized colinearity
(NC) into the selection phase of beacon nodes. The
experimental results show the validity of the proposed
method.
11:00 - 11:20
11:20 - 11:40
On the Security Cost of Interval Multicast
Weifeng Chen and Ye Sun
ELHFR: A Graph Routing in Industrial Wireless
Mesh Network
Jindong Zhao and Zhenjun Liang
We propose a new approach based on Subset Difference scheme to achieve interval-multicast security. We
formally prove that the cost of the Subset-Difference
based approach is no bigger than the one of the KeyTree based approach. Our experiment studies demonstrate that the cost of the SD-based approach is much
smaller.
This article presented a routing protocol that exploits the mesh topology and application characteristics of wirelessHART. It only find the shortest paths of
some special nodes of a BFS tree. The routing algorithm and the routing updating mechanism are presented.Simulation shows the proposal is better than
AODV.
11:40 - 12:00
Software Aging Estimation and Prediction of a
Real VOD System Based on PCA and Neural
Networks
Xiaozhi Du, Yong Qi, Di Hou and Chongan Xu
This paper investigates the software aging patterns of
a real VOD system. Firstly software aging is detected
and estimated. Then the software aging prediction
model is constructed based on PCA and artificial neural network. The experimental results show that the
presented aging prediction model is effective.
Guocui
6
Session: M1-5
Monday, June 22, 10:20 - 12:00
Computer Vision I
Chairs: Zaili Dong, Hong Wang
Room: Guose
10:20 - 10:40
10:40 - 11:00
The Object Recognition and Adaptive Threshold
Selection in the Vision System for Landing an
Unmanned Aerial Vehicle
Fucen Zeng, Haiqing Shi and Hong Wang
Analysis, Comparison and Improvement of Block
Matching Based Sub-Pixel Motion Measurement
Methods for Image Sequences
Yangjie Wei, Zaili Dong and Chengdong Wu
We present a vision-based landing system for a UAV
through the recognition of the landmark ”H” and a
triangle on top of ”H”. An adaptive threshold selection
method and image registration are used to recognize
”H”, and the Hough Line Detection and Helen formula
is applied to detect the triangle.
The sub-pixel motion measurement for image sequences
is researched, and an improved two-dimensional
distance-similarity measurement based on block matching algorithm is proposed to decrease the huge computational burden of existing strategies. The experiments
are conducted with respect to the image sequences to
show the feasibility and validity of the methods.
11:00 - 11:20
11:20 - 11:40
Improvement of Physics Performance on FFD
Algorithm
Weihua Hui, Quanhu Zhang, Bin He and Shiqi Huang
Comparison of Image Analysis and Conventional
Methods for Cellular Tissue Proportion
Measurement of Wood
Haipeng Yu, Yixing Liu, Guangping Han and Yongzhi Cui
FFD algorithm is a main method on geometry sculpture, but this approach is only used in globe region
and in geometry deformation. We present a new FFD
method based on physics which is created on masssprings model with local deformation character, so this
geometry method can be with physics attribute, which
extend application fields of FFD method greatly.
Wood cellular tissue proportions of twenty-five wood
species were analyzed with both image analysis method
and conventional weighing and grid-counting methods.
The results showed that significant positive correlations
exist among the tested data. The approach of image
analysis had more advantages of rapidity, accuracy and
agility than the conventional methods.
11:40 - 12:00
A Novel Boiler Flame Image Segmentation and
Tracking Algorithm Based on YCbCr Color Space
Min Xie, Jianhua Wu, Lin Zhang and Chun Li
A flame image automatic threshold segmentation and
tracking algorithm based on YCbCr space is proposed.The proposed algorithm is tested on two types of
video sequence.The experimental results indicate that
it is a concise method of high speed and efficiency, and
the central area of the flame can be segmented and
tracked effectively.
Guose
7
Session: M1-6
Monday, June 22, 10:20 - 12:00
Information Acquisition I
Chairs: Bin Liang, Xianzhong Dai
Room: Guosheng
10:20 - 10:40
10:40 - 11:00
Data Flow Control Infrastructure for the
Distributed Cooperative Measurement System
Dengpan Zhang and Haige Song
Research on Real-Time Estimation for Control of
Tethered Satellite System
Yong He, Bin Liang, Wenfu Xu and Cheng Li
This paper presents a novel data flow control Infrastructure for the collaborative distributed measurement.
The proposed way implements the reconfiguration of
the virtual measurement cases and schedules the users
measurement tasks among all the registered equipment
or measurement units by a dynamic reconfigurable
scheduling mechanism.
In this paper, a real-time estimator is developed to get
the parameters. The Extended Kalman Filter is used to
estimate the parameters. The proposed estimator not
only reduces the complexity of system model, but also
improves the parameters precision. Simulation results
verify the validity of this method.
11:00 - 11:20
11:20 - 11:40
Data Mining Based on Fuzzy Rough Set Theory
and its Application in the Glass Identification
Ruying Sun and Rongcang Han
Deign of CMOS Image Acquisition and
Verification System Based on FPGA
Houde Liu, Yafei Sun, Weida Huang and Bin Liang
To overcome the disadvantage of determining artificially the class number, fuzzy C means clustering is
introduced to fuzzify the continual attribute, and the
best minute class number is obtained by cluster validity analysis. The relationship of glass composition and
its application is excavated using data mining method
in this paper.
This paper designs a CMOS image acquisition and verification system based on FPGA. The key technologies
of this system are analyzed and verified, including the
development of drive programming of CMOS sensor
and experimentation on image display. This system
can realize image acquisition and verify image collected
from image acquisition system.
11:40 - 12:00
Development of ANN Inverse Compensator for
Two-Dimensional Force Sensor
Yuhan Ding, Xianzhong Dai and Chunmiao Ma
To improve the dynamic performance and eliminate
the coupling of the oblate ring 2-Dforce sensor, an
ANN inverse compensator is constructed. The compensator is composed of several differentiators and a
static ANN. Experiment results show that the coupling
phenomenon almost disappears and the dynamic performance is ameliorated.
Guosheng
8
Session: M1-7
Monday, June 22, 10:20 - 12:00
Poster Session I: Robots and Computer Vision
Chairs: Yangmin Li
Room: Guowang
10:20 - 12:00
10:20 - 12:00
A Fast SLAM Algorithm Based on the Auxiliary
Particle Filter with Stirling Interpolation
Liang Zhang and Yaowu Chen
Adaptive Method for Infrared Small Target
Detection Based on Gray-Scale Morphology and
Backward Cumulative Histogram Analysis
Xinyu Wang, Jingdong Chen, Huosheng Xu and Xi Chen
This paper provides a method which combines the auxiliary variable model with FastSLAM and, uses Stirling
Interpolation to approximate the nonlinear functions.
It overcomes the drawbacks of the FastSLAM by using a model ignoring the measurement data and the
approximation error for nonlinear functions.
We present a fast and adaptive method for infrared
small target detection. Image background regions
are removed using top-hat transform. Then, optimal threshold is obtained by backward cumulative histogram analysis and CFAR. Finally, small targets are
detected using multi-frame data association. Experimental results prove the validation of the proposed
method.
10:20 - 12:00
10:20 - 12:00
The Design of Eight Degrees of Freedom Rescue
Cutting Robot System on Vehicle
Yuxian Gai, Huiying Liu and Shaoping Huang
Fast Automatic Image Segmentation Based on
Bayesian Decision-Making Theory
Zhigen Fei, Junjie Guo, Peng Wan and Wenjian Yang
An eight degrees of freedom rescue cutting robot on
Vehicle has been developed, including mechanical system, Sensing and control system, Remote control video
system, and Vibration control system. It can used in
army to eliminate explosive. When military engineering has been attacked, it can be used to cut protection
door.
It is proposed to apply Bayesian decision-making theory based on minimum error probability to image segmentation. A novel method called weighted equal interval sampling is presented to obtain the contracted
sample set. MMIC algorithm of Bayesian Information
Criterion is employed to determine segmentation number.
10:20 - 12:00
10:20 - 12:00
Research on Obstacle Avoidance Based on Fuzzy
Control for Inspection Robot in Oil Pipeline
Ding Feng, Jin Liu, Shouyong Li, Peng Wang, Kui Zhou
and Chaobin Huang
Automatic Image Segmentation Incorporating
Shape Priors via Graph Cuts
Xianpeng Lang, Feng Zhu, Yingming Hao and Qingxiao
Wu
The paper has designed the fuzzy controller and established the fuzzy control rule for an oil pipeline inspection robot based on the fuzzy control principle. Whats
more, the results of the simulation experiment for the
robot show that the obstacle-avoidance control technology has favorable real-time, robustness and flexibility.
In this paper, we propose an automatic segmentation
algorithm via graph cut. Firstly, the data term in traditional graph cut energy is redefined to counteract illumination change. Secondly, shape priors are introduced into segmentation process, which help to obtain
more robust results. Finally, an automatic segmentation strategy is presented.
Guowang
9
Session: M1-7
Monday, June 22, 10:20 - 12:00
10:20 - 12:00
10:20 - 12:00
Robot Volume and Movement Ability
Relationship Research
Junyao Gao, Xueshan Gao, Jianguo Zhu, Boyu Wei and
Shilin Wang
Kinematics of Parallel Kinematic Machine
Exechon
Zhuming Bi, Y. Jin, R. Gibson and P. McTotal
Due to the potential advantages of parallel kinematic
machines, hundreds of them have been proposed. However, only a few of them have been practically applied.
One recently-developed one is the Exechon. Less theoretical studies are available to prove its good performance. In this paper, its kinematics has been investigated.
This paper aims at robot volume and movement ability
relationship. A mathematic formula explains why big
robot is slow than little robot. Big robot needs big ratio
of power to weight. But it is difficult for big robot use
too big motors. Big robot is often duller than little
robot.
10:20 - 12:00
10:20 - 12:00
New Method for Kinematic Analysis of a Hybrid
Manipulator
Jun Shi, Xiaorui Zhu and Zexiang Li
Topology Synthesis and Classification of a Novel
Family of Parallel Manipulator With 3-Dimension
Translation and 1-Dimension Rotation
Yuan Chen and Bing Li
This paper presents a new method to analyze the kinematics of a widely-used commercial hybrid manipulator
IRB260 from the ABB Company. This manipulator includes two parallel four-bar mechanisms that make the
kinematics and dynamic analysis complicated. In this
paper, the rigorous analytical method is totally based
on the exponential coordinate description and the screw
theory. This method has created the virtual open-chain
manipulator that is equivalent to the hybrid manipulator. Then the kinematics can be solved using the routine steps for the virtual open-chain manipulators. The
simulation results show that this new method results in
the correct kinematics of this hybrid manipulator.
Based on the single-open-chain method, a systematic
and effective design process is given and the 12 promising 3T1R parallel manipulators with lower coupling degree are presented originally in this paper. These manipulators are deliberately classified according to four
evaluation criterions. Lastly, a novel synthesized manipulator is applied to cooking robot.
10:20 - 12:00
Maintaining Communication Links in
Unstructured Environments with a Team of
Mobile Robots
Xi Chen, Wei Zhuang and Jindong Tan
The estimation of communication links quality plays a
critical role not only in sensor network routing protocol, but also in maintaining the sensor network. By
evaluating the estimation, when identify some failures
occure, mobile robots can be deployed to automatically
move to the region to cover communication gaps. This
paper presents a comprehensive metric to evaluate the
links quality and the corresponding control schemes to
maintain the communication links. The mobile robots
dynamically reconfigure themselves to maintain reliable
end-to-end communication links. Moreover, the selfdeployment algorithms allow a team of robots to recognize
the coverage gap by monitoring links quality.
Guowang
10
Session: M2-1
Monday, June 22, 13:30 - 15:10
Automation II
Chairs: Chao Hu, Yunjian Ge
Room: Guoxing
13:30 - 13:50
13:50 - 14:10
Time-Varying LQ Control for Autonomous Soft
Landing of Small-Scale Helicopter
Xiaohu Xia, Min Zhu, Xiaotao Zhang and Yunjian Ge
People Counting in Crowded Environment Based
on Texture Analysis
Sen Guo, Wei Liu and Heping Yan
This paper addresses soft landing of miniature helicopter and suggests an optimal strategy with appropriate design parameters for soft landing. The timevarying gains and time-varying quadratic performance
index LQ control for soft landing of helicopter examines and simulate. Simulation results have proved that
the designed controller is suitable.
This paper discusses people counting of crowd open
scene according to statistics. Firstly, features of texture of scene image are obtained based on grey level
dependence matrix. Then the statistical model of number of people is built. At last, people is counted based
on those statistical models.
14:10 - 14:30
14:30 - 14:50
The Injection Machine Automatically Set
Parameters Method of Injection Speed and
Pressure
Hanru Zhong and Rui Xu
Dual-Modal Indoor Mobile Localization System
Based on Prediction Algorithm
Lujia Wang, Chao Hu, Jinkuan Wang, Longqiang Tian
and Max Q.-H. Meng
This paper presents an injection model and a method
for setting grading injection pressure and speed automatically by a kind of engineering experiment. The injection model is established based on the physical process of mold filling, and then is solved by the computer
calculation for gaining grading points.
This paper proposed an indoor RF localization system
by using dual-modal architecture. It applies SPKF algorithm to reduce the reflection and scattering effect
on signal propagation in the indoor environment. Experimental results demonstrate it can improve the localization accuracy and reduce the communication cost
while object is moving.
14:50 - 15:10
Controller Design of a Two-Degree-of-Freedom
Smith Predictor Scheme for Improved
Performance
Wei Tang, Dezhi Meng, Xi Wang, Kaisheng Zhang and
Mengxiao Wang
A simple controller design method for a two-degree-offreedom Smith predictor is investigated to obtain an
improved performance of setpoint tracking and disturbance attenuation. The double controllers are designed
as ideal PID and approximate derivative PID, respectively. Simulations and application indicate the advantages of the proposed method.
Guoxing
11
Session: M2-2
Monday, June 22, 13:30 - 15:10
Chairs: Yunhui Liu, Youlun Xiong
Room: Guoyun
13:30 - 13:50
13:50 - 14:10
Research on the Fast Nose-Point Control of a
Fighter
Kaijun Liao, Xinmin Dong and Xiaoping Wang
Control System for Continuous Soaking Process in
Sugar Refinery
Wenbo Na
The fast nose-point control of a fighter is researched in
the frame of Integrated Control System with a multistrata hierarchical structure. The nose pointing command including the normal load command and bank
angle command is got and the actuator-allocation controller is designed.
The continuous soaking process (CSP) is an important
step in sugar refinery. This paper presented an intelligent optimization control system (IOCS) to implement
the modeling, optimization, and control of the CSP
with the help of c-means,clustering and genetic. The
results of actual runs demonstrate the validity of the
system.
14:10 - 14:30
14:30 - 14:50
Robust Fuzzy Control for Uncertain Markovian
Jump Nonlinear Singular Systems
Aiqing Zhang and Huajing Fang
A Hybrid Control Method of Tension and Position
for a Discontinuous Web Transport System
Jiankui Chen, Zhouping Yin, Youlun Xiong and Jianzhou
Quan
This paper deals with the problem of robust stochastic stabilization for Markovian jump nonlinear singular
systems with Wiener process via a fuzzy-control approach. Based on LMI, a state feedback fuzzy controller is designed such that the closed-loop fuzzy system is robustly stochastically stable for all admissible
uncertainties.
This paper is focused on actualizing a hybrid control
method of tension and position for a discontinuous web
transport system. Based on the mathematical model
and hybrid control strategies, an experiment platform is
established. Several experiments have been performed
to show the efficiency and feasibility of this hybrid control method.
14:50 - 15:10
Global Asymptotic Stabilization Control of a Lake
Surface Cleaning Robot
Zhongli Wang and Yunhui Liu
A global asymptotic stabilization control based on vector backstepping design for an underactuated lake surface cleaning robot (LSCR) is proposed.A non-smooth
transformation is used for transforming the system dynamics from the Cartesian coordinates to the polar coordinates. Then with the vectorial backstepping design
procedures, the position and orientation of the LSCR
can be synchronously convergent to the desired configuration. The proofs of the stability and convergence
are provided.
Guoyun
12
Session: M2-3
Monday, June 22, 13:30 - 15:10
Parallel Robots I
Chairs: Jianwei Zhang, Yunjiang Lou
Room: Guoxiang
13:30 - 13:50
13:50 - 14:10
Domestic Robots with Multi-Function and Safe
Internet Connectivity
Xiaofeng Xiong, Zhangjun Song and Jianwei Zhang
Dynamic Modeling and Contouring Control of
Parallel Kinematic Machines
Yingying Zhong, Yunjiang Lou and Zhibin Li
This paper presents a kind of domestic robot with
multi-function such as cleaning, telepresence. Its mode
of control is based on the Internet by remote control.
Because of high cost and unreliable connectivity based
on the Internet, we emphasize integration of function
and a safe method of encryption.
This study concerns dynamic modeling and contouring control of parallel kinematic machines. Since the
tracking error does not reflect truly product quality, the
contouring error is introduced in dynamic control. For
comparison purpose, the augmented PD control and
the computed torque control are also carried out.
14:10 - 14:30
14:30 - 14:50
The Error Modeling and Accuracy Synthesis of a
3-DOF Parallel Robot Delta-S
Jiangpin Mei, Liangan Zhang and Yi Li
Dynamics Based Trajectory Planning for Parallel
Manipulators
Yunjiang Lou and Fang Feng
In this paper, some key issues of a 3-DOF parallel manipulator named Delta-S is developed, such as error
modeling, sensitivity analysis, and accuracy synthesis.
Firstly, the characteristics of Delta-S are analyzed and
its error mapping function is formulated in the following. Secondly, the sensitivity analysis is carried out to
find the source errors which affect the pose accuracy of
the end-effecter in terms of the error model.
In order to fully exploit capacity of parallel robots,
dynamics based trajectory planning is inevitable by
considering both kinematic and dynamic constraints.
Three dynamics based trajectory planning methods,
the time-optimal, the jerk-bounded, and the cubic polynomial planning, are investigated, compared and implemented using the Orthopod parallel manipulator.
Guoxiang
13
Session: M2-4
Monday, June 22, 13:30 - 15:10
Networks and Communications II
Chairs: Shuxiang Guo, Hong Bae Park
Room: Guocui
13:30 - 13:50
13:50 - 14:10
Research of Fault-Tolerance Technique for High
Availability Industrial Ethernet
Aidong Xu, Liqun Jiang and Haibin Yu
Robust and Non-Fragile H-Infinity Congestion
Controller Design Algorithm for ABR Service of
ATM Networks: PLMI Approach
Seung Hyeop Yang, Joon Ki Kim and Hong Bae Park
Industrial Ethernet are widely used in industrial control
system, but the requirement of high reliability and stability for control system limits the application of industrial Ethernet. Providing high available fault-tolerant
capability on the large control systems becomes a very
important issue. In this paper, three industrial Ethernet based redundancy protocols are presented.
We describe the synthesis of robust and non-fragile Hinfinity state feedback rate-based congestion controllers
for the ATM network system with affine parameter uncertainties and round trip delay, as well as static state
feedback congestion controller with polytopic uncertainty. And we show that the resulting controller guarantees the asymptotic stability and disturbance attenuation of the closed loop system.
14:10 - 14:30
14:30 - 14:50
Building Information Specification Ontology for
Computer Network Management Based on Formal
Concept Analysis
Hui Xu and Debao Xiao
An Acoustic Communication System for Multiple
Underwater Vehicles Based on DS-CDMA
Shuxiang Guo and Zixin Zhao
This paper proposes an underwater acoustic communication system based on DS-CDMA for multiple underwater vehicles. Multiple underwater vehicles in this
system can communicate with the console on the water
surface simultaneously. The simulation results indicate
that it is feasible to use this system to accomplish underwater communication reliably.
Specification ontology may be a prospective solution
for unified description of management data modeling
languages. However, basics of a unified mathematical
theory are still lacking for ontology building. Delighted
by the philosophical thinking of conceptual scheme for
descriptive metaphysics, this paper tries to utilize Formal Concept Analysis for this purpose.
14:50 - 15:10
An Anycast Model of Implementing
Communication Between Ad Hoc Networks and
IPv6 Networks
Xiaonan Wang and Huanyan Qian
This paper proposes a communication model which
utilizes Anycast to perform the seamless communication between Ad Hoc networks and IPv6 networks.
This model creates a new kind of IPv6 address autoconfiguration scheme which does not need the address
duplication detection.
Guocui
14
Session: M2-5
Monday, June 22, 13:30 - 15:10
Computer Vision II
Chairs: Youfu Li, Jianwei Zhang
Room: Guose
13:30 - 13:50
13:50 - 14:10
A New Image Matching Algorithm Based on Scale
Adapted Interest Point Detection
Peng Liang, Shaofa Li and Cheng Wang
Adaptive Background Update Based on Mixture
Models of Gaussian
Feng Wang and Shuguang Dai
This paper brings forward a novel interest point detector called scale adapted Harris detector to detect interest points, then we formulate feature matching problem
based on Earth Movers Distance for image matching.
Experimental results demonstrate the proposed algorithm perform better than other methods in both recall
and precision.
Background subtraction method is commonly used in
image segmentation. This paper puts emphasis on
background model update based on mixture models of
Gaussian, and implements an adaptive learning method
to update background models. Each pixel is classified
into 4 different types: still background, dynamic background, moving object, temporary still object.
14:10 - 14:30
14:30 - 14:50
A Frequency Domain Approach to Fast and
Accurate Image Registration
Haili Xu, Guoran Hua, Jian Zhuang and Sun’an Wang
Motion Descriptor: A Motion Trajectory
Signature
Shandong Wu, Y. F. Li and Jianwei Zhang
An approach to image registration based on PseudoPolar Fast Fourier Transform (PPFFT) and Small
World Clonal Selection Algorithm (SWCSA) is introduced. With PPFFT, the complexity of computation
is significantly lower. Because of the optimization algorithm used, the processing accuracy of our method
is higher than that of phase correlation algorithm.
We propose a novel concept of motion descriptor to
serve as a fundamental mechanism to describe longterm spatiotemporal motions. The descriptor is a socalled signature description of motion trajectories extracted via visual tracking. We present the signature
rationale, flexible variants and its typical uses.
14:50 - 15:10
A Practical Method for Calibrating
Omnidirectional Cameras using LCD Panel
Liwei Zhang, Jianwei Zhang and Ying Hu
In this paper, we present an LCD-based method for
calibrating an omnidirectional vision system with a
parabolic mirror. Experimental results show that the
reprojected error is less than half the error of the
printed chessboard model. The method is economic
and easy to implement.
Guose
15
Session: M2-6
Monday, June 22, 13:30 - 15:10
Information Acquisition II
Chairs: Zhiguo Gong, Wancheng Wang
Room: Guosheng
13:30 - 13:50
13:50 - 14:10
OWL-based Emergency Preplan Ontology
Creation and Application in Knowledge Sharing
Feng Yang, Hui Wen, Wei Cheng and Xiaoling Dai
Inversion Based State Estimation in Bioleaching
Process Performed by Thiobacillus Ferrooxidans
Wancheng Wang
Knowledge representation and sharing crossing organizations become critical problems. A new construction
method of owl ontology oriented to emergency preplan
is proposed, and then, based on the emergency preplan
ontology guided by the new construction method, we
put forward a knowledge management and share framework oriented to virtual organization.
The ”assumed inherent sensor” inversion (AISI) that is
a soft-sensor in essence is used to perform the on-line
estimation of the directly immeasurable state variables
in the bioleaching process performed by Thiobacillus
Ferrooxidans. The simulations are performed by using
the AISI for the bioleaching process with measurement
noises. The simulation results show the effectiveness of
the AISI.
14:10 - 14:30
14:30 - 14:50
Research on an Effective Domain Meta-Search
Engine System
Nengfu Xie and Wensheng Wang
Log Mining to Support Web Query Expansions
Patrick Ngok and Zhiguo Gong
In this paper, query expansion will be achieved by mining query information in a query log. An association
will be constructed by data mining association technique. Then every incoming new query will be compared with the newly built association rule, and a new
expanded query can be constructed with the original
query and the newly added item.
This paper proposed a domain search engine system,
called DSES, and provided a domain information determination algorithm to solve domain information selection. The new approach significantly improved the
domain-specific information closure, reducing the noninformation returned. A DSES-based agriculture domain information system was designed, which showed
the method was effective.
14:50 - 15:10
Sensorless Position and Speed Estimation with
Improved Integrator for PMLSM Drive Improved
Integrator for PMLSM Drive
Huacai Lu, Manhua Li and Yuetong Xu
A sensorless detection algorithm designed for permanent magnet linear synchronous motor. Measured terminal currents and voltages are used to estimate the
flux of the -axis in stator frame. Position and speed
signals are derived from angle of the flux linkage and
its change rate. A new improved integrator is designed
for compensate DC offsets and drift.
Guosheng
16
Session: M2-7
Monday, June 22, 13:30 - 15:10
Poster Session II: Intelligent Control and Information
Chairs: Yangmin Li
Room: Guowang
13:30 - 15:10
13:30 - 15:10
A Novel Absolute Magnetic Encoder Based on
Pseudorandom Code
Yong Liu, Shuanghui Hao and Minghui Hao
Automatic Acquisition and Test for Grounding
Grid Corrosion Diagnosis
Jian Liu, Didi Cao, Hongli Cheng, Yanna Yang, Yunfeng
Ni, Teng Li and Sen Wang
A new multi-pole encoder was proposed. Two ring alnicos were used: one was magnetized to 8 N-S, and
the other was magnetized according to pseudorandom
code. Encoder was calibrated using a higher resolution
optical encoder off-line. It can realize absolute detection and cost is very low.
To reduce the manpower, an automatic acquisition and
test system for grounding grids corrosion diagnosis is
proposed. The basic principle, the steps to produce the
complete test scheme and the control strategy of automatic acquisition and test are described. Experiment
results show the feasibility of the proposed approach.
13:30 - 15:10
13:30 - 15:10
Uneven Virtual Grid-Based Clustering Routing
Protocol for Wireless Sensor Networks
Zhe Ji, Shunjie Xu, Guoqiang Wang and Li Hong
A Method of Constructing Complete Graph for
Multi-Objects Path Planning in Complex
Environment
Bo Gao, Demin Xu and Fubin Zhang
In order to balance network load in WSN, uneven virtual grid-based clustering routing protocol (VGCR) is
proposed. VGCR divides network into different rings.
According to optimal number of cluster heads, rings are
divided into grids. Cluster is rotated to change the relative location of nodes. Simulation results show good
performance.
This paper describes an approach that integrates the
representations of uniform grids and Voronoi diagrams
to build the complete graph in complex environment for
multi-objects. It generates an initial Voronoi diagram
and make modifications considering the relationship between objects and obstacles. The complete graph is
built from the modified diagram.
13:30 - 15:10
13:30 - 15:10
Target Detection in Complex Background based
on Fuzzy Enhanced Fractal Feature
Kunhua Zhang, Xuan Yang and Li Zhang
Research on Intelligent Decision Support System
for Power System
Zhuangzhi Liu, Dongxiao Niu, Xusheng Yang and
Wanxing Sheng
The new membership function of fuzzy sets based on
fractal feature is defined and fractal difference between target and background was increased effectively
through fuzzy enhancement transformation. Then
combing region connection with area feature, the target can be detected in complex background correctly,
and capability of restraining noise is good.
In order to assist the dispatcher make operation
and control decision correcctly and quickly,this paper
presents an innovative multi-agent architecture of decision support system for power system operation. The
system is divided into three layers: the decision resource layer, the communication facilitator layer and
the function agents layer.
Guowang
17
Session: M2-7
Monday, June 22, 13:30 - 15:10
13:30 - 15:10
13:30 - 15:10
The H-infinity Control Applying on
Electromagnetic Suspension Height of the Beam
on Numerically Controlled Machining Center with
Movable Gantry
Xia Yang, Yan Gao, Bo Yang and Jiguang Du
An Expert System for the Anaerobic Wastewater
Treatment Process
Jiayu Kang and Linan Mi
An expert system (ES) developed for the monitoring
and diagnosis of anaerobic wastewater treatment plants
is presented. The expert system puts emphasis on the
monitoring and designing of PH control and the prevention of acidification. The results show that good
monitoring effect can be achieved.
A suggestion to suspend large-scale movable component, has been put forward firstly to realize high accurate orientation without friction in this paper. The
simulatio designed a H robust controller to improve
the rigidity of electromagnetic suspension air-gap. This
control method can be reali n result shows that this control method has better dynamic and static performance
and robustness, and meets the requirement on high accurate rigidity of electromagnetic suspension height.
13:30 - 15:10
13:30 - 15:10
A Novel Light Intensity Modulation Curvature
Fiber Optic Sensor
Yili Fu and Haiting Di
Assessment Model of Coal Enterprise’s
Informationization Level Based on Analytic
Hierarchy Process
Kang Shao and Jinyun Li
A fiber optic sensor is developed, which can measure
curvature directly. Experiments show that the output
of sensor is linear with curvature when the radius is
larger than 60mm. Mathematical models are proposed.
The sensors are used to build a quasi-distributed system, which can measure curvature and torsion angle
simultaneously.
This paper introduced a new approach combining techniques of AHP and Delphi to construct target system
and assessment model of coal enterprise informationization, where the AHP technique was used to establish
the hierarchical structure model, and the judgment matrix was constructed by using both the AHP score and
Delphi method.
13:30 - 15:10
13:30 - 15:10
Wavelet Neural Networks Based Performance
Estimation for Power Gating Domino Circuits
Jinhui Wang, Wuchen Wu, Na Gong, Lei Zuo, Xiaohong
Peng and Ligang Hou
Skew Detection of Track Images Based on Wavelet
Transform and Linear Least Square Fitting
Changyou Li and Quanfa Yang
A novel algorithm to detect the skew angle of a scanned
track image is proposed. In the algorithm, the wavelet
transform is used to extract the skew feature points
from the track images and the linear least square
method to get the skew angle.
A system for estimating the leakage power, the active power and the delay of domino OR gates with
the sleep transistor based on wavelet neural networks
is proposed. It possesses fast speed convergence and
high precision. Comparison between the footer and the
header sleep transistor technique is given at last.
Guowang
18
Session: M3-1
Monday, June 22, 15:30 - 17:10
Automation III
Chairs: Shusheng Bi, Zhixin Zeng
Room: Guoxing
15:30 - 15:50
15:50 - 16:10
Centralized Control of Home Electric Appliances
Based on Short Range Wireless Technology
Yong Li, Donghai Huang, Zhenyu Chen and Zhixin Zeng
An Automatic Microassembly Workcell for
PMMA Microfluidic Chip Packaging
Minglei Sun, Shusheng Bi, Guohui Qiao and Jingjun Yu
This paper presents a star topology architecture system
for the control of small home electrical appliances. The
proposed system exploits the open Internet standards.
The pilot project constructed a connection between a
PC and two air conditioners through wireless modules
and serial communication links with a new CRC algorithm.
This paper reports on a workcell developed for PMMA
MFC alignment with micro assembly operations in volume MEMS devices production. The work-cell integrates microscopic computer vision, precise positioning
and pneumatic driving technique. Experimental results
show that the average operation cycle is 3.4 minutes;
the microassembly accuracy can reach 2.9 microns.
16:10 - 16:30
16:30 - 16:50
Ontology-Based Model for Resolving the
Data-Level and Semantic-Level Conflicts
Yumeng Zhao, Shidong Zhang and Zhongmin Yan
MH Algorithm: A Mixed Heuristic Algorithm for
Solution of Two-Dimentional Cutting Stock
Problem
Yingyu Huo, Kejing He, Rengui Zhang and Yong Zhong
This paper puts forward a new architecture called
RCM, which provides an extensible mechanism to describe mapping formulas and constraints of conflicts between global ontology and local sources. Grounded on
the given model, an enhanced algorithm is proposed to
deal with difficulties caused by data-level and semanticlevel conflicts.
Presents a single objective linear programming model
for the 1D and 2D cutting stock problems with time
restriction, and proposes an efficient multistage Mixed
Heuristic Algorithm (MHA) for model solving. The
final cutting solution gotten by the MHA achieves a
utilization ratio of more than 95%. MHA is widely
applicable and very fast.
16:50 - 17:10
Backstepping-Based Path Following Control of an
Underactuated Autonomous Underwater Vehicle
Yintao Wang, Weisheng Yan and Rongxin Cui
This paper derives a control law to steer the dynamic
model of an underactuated autonomous underwater vehicle (AUV) along a predefined path. We describe the
path to be followed by the movement of a virtual AUV
and drive the actual AUV on the desired path through
following this virtual AUV. Furthermore, it overcomes
a singular point that are presented in a number of path
following control strategies described in the literature.
Controller design builds on Lyapunov theory and backstepping techniques. The resulting control law yields
convergence of the path following error trajectories to
zero. Simulations illustrate the performance of the proposed controller.
Guoxing
19
Session: M3-2
Monday, June 22, 15:30 - 17:10
Chairs: Nghia Duong Hoai, Jiangang Li
Room: Guoyun
15:30 - 15:50
15:50 - 16:10
Self-Tuning Controller Design for Motion Control
Systems
Yanan Li, Jiangang Li and Xuehui Ye
Dynamic Scheduling of Multi-Task for Hybrid
Flow-Shop Based on Energy Consumption
Lingli Zeng, Fengxing Zou, Xiaohong Xu and Zheng Gao
The modeling and identification for motion control systems are discussed. A mechanism is proposed to deal
with the low-excitation problem in the closed-loop identification. A self-tuning feedback controller is proposed.
And the self-tuning ZPETC is used to improve the
tracking performance. All these algorithms are verified
in a milling machine
The idea of idle time window(ITW) is introduced.
With the ITWs of machines as constraints, the mathematical model is proposed for dynamic scheduling
of multi-task for hybrid flow-shop with the objective
of minimizing the energy consumption. The particle
swarm optimization algorithm is employed to solve this
problem.
16:10 - 16:30
16:30 - 16:50
Petri Net Controller Synthesis for Advanced
Surface Movement Guidance and Control System
Xinmin Tang, Xinping Zhu and Songchen Han
A Sliding Mode Controller for Induction Motor
Fed with Three-Level Inverter
Bac Nguyen Xuan and Nghia Duong Hoai
To guarantee safety of surface movements, it is necessary to develop Advanced Surface Movement Guidance
and Control System. This paper focuses on the controller synthesis of A-SMGCS based on discrete event
supervisory control theory, the confliction avoidance
problem of movements is transformed into state forbidden problem of controlled Petri net.
This paper presents a sliding mode controller for induction motor fed with three-level Neutral Point Clamped
(NPC) Voltage Source Inverter (VSI). The simulation
and the experimental results demonstrate the stability
and the robustness of the proposed method.
16:50 - 17:10
Current-based Wheel Slip Detection of All-Wheel
Driving Vehicle
Zhiping Zhu, Kui Yuan and Zuo Wei
This paper presents a current-based wheel slip detecting method which can detect longitudinal wheel slip
of a all-wheel driving vehicle running on road surface
with different friction patches. A multi-mode slippage
detection scheme is proposed to judge whether a wheel
slippage occurs by detecting the change of the relevant
wheel velocity and the change of the driving wheel armature current. A simple predictive control algorithm
is also proposed to reduce the effect produced by the
wheel slippage.
Guoyun
20
Session: M3-3
Monday, June 22, 15:30 - 17:10
Service Robots
Chairs: Shugen Ma, Chao Hu
Room: Guoxiang
15:30 - 15:50
15:50 - 16:10
An Amphibious Snake-Like Robot: Design and
Motion Experiments on Ground and in Water
Shumei Yu, Shugen Ma, Bin Li and Yuechao Wang
Image Representation and Compression for
Capsule Endoscope Robot
Chao Hu, Max Q.-H. Meng, Li Liu, Yinzi Pan and
Zhiyong Liu
This paper presents an amphibious snake-like robots
design and its omnipotent locomotion ability both on
the land and in the water. This amphibious snake-like
robot, mainly composed by 9 Modular Universal Units,
is waterproof and can move smoothly in the water while
pressurized with O-rings and other essential accessories.
In this paper, we concentrate on the gait diversity of
the amphibious snake-like robot.
In this paper, we present image representation and
compression techniques for the capsule endoscope.
First, the characteristics of the capsule endoscopic images are investigated. Secondly, the Cartesian, polar coordinate, and expanded square representations of
the circular image are discussed. Then special DPCM,
wavelet compression techniques are applied to get high
compression ratio and signal to noise ratio.
16:10 - 16:30
16:30 - 16:50
A Technical Review on The Orthopedic
Compliant Robotic Arms
Hongliang Ren, Max Q.-H. Meng, Lin Qi and Yichen Fan
Inverse Kinematic Analysis for the Arm of a
Mobile Humanoid Robot Based on the
Closed-Loop Algorithm
Jingguo Wang and Yangmin Li
We investigate the existing studies on the orthopedic
compliant robot arms, together with our proposals for
the pelvic surgery. In pelvic-acetabular surgery, it is
important to position the tools accurately and precisely
for operations. A review is given for the industrial
robotics arms serving as surgical tools.
This paper presents a kind of method for the inverse
kinematics of a 7-DoF arm installed on a mobile humanoid robot. Due to the redundancy, the CLIK via
pseudoinverse method is used to solve the corresponding joint trajectories if the end-effector trajectory is
given and the constraints of joint limits are applied to
optimize the redundancy.
16:50 - 17:10
Simultaneous Dynamic Scheduling and
Collision-Free Path Planning for Multiple
Autonomous Vehicles
Shuai Yuan, Haye Lau, Dikai Liu, Shoudong Huang,
Gamini Dissanayake, Daniel Pagac and Tim Pratley
This paper is about an integrated approach for dynamic
task allocation and collision-free path planning in realworld industrial material handling environment, where
multiple autonomous vehicles operate on a network of
paths and where each path segment can only be occupied by one vehicle at a given instant.
Guoxiang
21
Session: M3-4
Monday, June 22, 15:30 - 17:10
Networks and Communications III
Chairs: Huosheng Hu, Weihua Sheng
Room: Guocui
15:30 - 15:50
15:50 - 16:10
Mechanical Feature Attributes for Modeling and
Pattern Classification of Physical Activities
Theodoros Theodoridis, Alexandros Agapitos, Huosheng
Hu and Simon Lucas
An Automatic Ontology Population with a
Machine Learning Technique from
Semi-Structured Documents
Seong-Bae Park
A rigorous investigation on the synergy of mechanical
attributes to engineer tactics for measuring human activity in terms of forces, as well as to provide independency and discrimination clarity of action recognition
using linear and non-linear classification methodologies from data mining and evolutionary computation,
are the main objectives where this paper focuses on.
Mechanical analysis is employed to mathematically describe and model human movement by using a number
of mechanical features inspired mainly from Kinematics
Dynamics.
This paper proposes an automatic ontology population
method. The knowledge source for ontology population
used in this paper is web-tables. The most appropriate
concept within the ontology is determined by parse tree
kernel. Then, tables are populated as individuals of
concepts. Through experiments, the proposed method
achieves 62.35% of accuracy.
16:10 - 16:30
16:30 - 16:50
Analysis of Road Traffic Capacity Based on
Maximum Likelihood Method
Yanfei Cai and Xiaoxiong Weng
Mobility Assisted Localization for Robotic Sensor
Networks
Changhua Wu, Weihua Sheng, Yinig Zhang and Saroja
Kanchi
Capacity is different with impact of conditions of road,
traffic and operation environments. The paper arms to
analyses statistical relationship between capacity and
average headway. We find a new distribution model of
headway: lognormal distribution model. By the empirical data testing, the calculation deviation of capacity
is only 0.22 percent.
The accurate localization of sensor nodes in a mobile
robotic sensor network is important in many surveillance applications. Based on our previous work in sensor localization, this paper introduces a mobility assisted localization approach guided by network rigidity
for mobile robotic sensor networks. The rigidity test of
a network is based on a pebble game algorithm, that
decides whether the network is uniquely localizable or
not.
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 advanced
mode, eventually circulate in real world and be expanded by virtual loan granting. Virtual money evolution could increase the attractiveness of virtual world
and benefit the subscribers and game operators simultaneously.
Guocui
22
Session: M3-5
Monday, June 22, 15:30 - 17:10
Computer Vision III
Chairs: Shane Xie, Xianmin Zhang
Room: Guose
15:30 - 15:50
15:50 - 16:10
A Robust Local Descriptor Method for
Registering Maori Artefacts using Colour Images
Danny Cheng, Shane Xie and Enrico Haemmerle
Image Denosing by Curvature Strength Diffusion
Baopu Li, Max Q.-H. Meng and Huaicheng Yan
Due to its great advantage that it can preserve image edges while reducing noise, the anisotropic diffusion open a new filed in image processing. However,
as anis otropic diffusion is based on gradient, which is
sensitive to noise, it may not work efficiently especially
when the image contains a high level of noise.
Two new local descriptor methods are presented which
make use of colour images instead of greyscale images
for computing local descriptors. Experimental work
conducted indicate that the proposed methods outperform existing methods when registering images of
Maori artefacts with improvements in matching accuracy of up to 10%.
16:10 - 16:30
16:30 - 16:50
Learning Model for Object Detection Based on
Local Edge Features
Xusheng Tang, Zhelin Shi, Deqiang Li, Long Ma and Dan
Chen
A Visual Inspection System for Surface Mounted
Components Based on Color Features
Huihui Wu, Xianmin Zhang and Shiliang Hong
In order to inspect the surface mounted components
on PCBs, firstly, the features of the components were
analyzed, then, a two-stages inspection process which
synthesized the projection method and Bayes classifier
was presented. The experiment results have verified
the validity of this scheme in terns of recognition rate
and speed.
We present a learning model for object detection that
uses a novel local edge features. The features are motivated by the scheme that use the chamfer distance
as shape comparison measure. Adaboost is used to
build an object detector. Experimental results show
our method is fast and effective.
16:50 - 17:10
Image-Based Visual Servoing Using Improved
Image Moments
Sining Liu, Wen-Fang Xie and Chun-Yi Su
Visual servoing has played an important role in automated robotic manufacturing systems, of which there
is a challenge on how to choose proper image features
to enhance system performances. This paper addresses
such a challenge by proposing a method consisting of
an ameliorative image pre-processing algorithm and an
improved Image Based Visual Servoing (IBVS) using
image moments algorithm.
Guose
23
Session: M3-6
Monday, June 22, 15:30 - 17:10
Information and Signal Processing I
Chairs: Chi-Man Pun, Jwu-Sheng Hu
Room: Guosheng
15:30 - 15:50
15:50 - 16:10
Embedding Biometric Watermark on Document
Image using Discrete Wavelet Transform
Loi-Tun Lam and Chi-Man Pun
Image Quality Assessment Based on Theil
Inequality Coefficient and Discrete Wavelet
Transform
Junfeng Li, Wenzhan Dai and Haipeng Pan
In this research, signatories biometric fingerprint in digital binary format as a watermark message will be embedded into a gray level document image by discrete
wavelet transform.
A novel image quality assessment based on the characteristics of the wavelet coefficients of images and the
correlativity is proposed. The algorithm makes full use
of perfect integral comparison mechanism of the correlativity and the well matching of discrete wavelet transform with multi-channel model of human visual system.
16:10 - 16:30
16:30 - 16:50
An Improved OFDM Phase Noise Cancellation
Method
Jinlin Fu, Chunping Hou, Ke Li, Lei Yan and Shanlin Sun
Non-Synchronized H-Infinity Estimation of
Discrete-Time Piecewise Affine Systems: An LMI
Approach
Yahui Gao, Zhiyuan Liu and Hong Chen
A novel ICI self-cancellation method is proposed. Data
symbol are mapped onto pairs of adjacent subcarriers for the middle subcarriers and mapped onto pairs
of symmetric subcarriers for the two end subcarriers. Compared with other ICI self-cancellation method,
BER performance of the proposed method is much better.
This paper designs an H estimator for discrete-time
piecewise affine systems in the presence of external disturbance. The issue considered is that the transitions of
actual system state and its estimate may not be synchronized due to output noise and estimation errors.
The results are formulated as LMIs.
16:50 - 17:10
Speech Enhancement for Mobile Phones Based on
the Imparity of Two-Microphone Signals
Jwusheng Hu and Mingtang Lee
We propose a speech enhancement system for mobile
phones using pair microphones. The gain differences
of the sources between the two microphones are used
to obtain the speech absence probability. The results
are substituted into an MMSE estimator in loudness
domain. The performance is evaluated under two noise
cases.
Guosheng
24
Session: M3-7
Monday, June 22, 15:30 - 17:10
Poster Session III: Automation and Mechanisms
Chairs: Yangmin Li
Room: Guowang
15:30 - 17:10
15:30 - 17:10
Simulation and Implementation of A Large Inertia
Electro-hydraulic position control system
Jian Pan and Guanglin Shi
Algorithm of Variable Forward Step Size Planning
in Freeform Surface Machining
Shitian Zhao, Dongbiao Zhao and Yingying Fu
A new algorithm for curve of tool path discretization is
presented to improve the precision of the forward step
size. Results showed that the maximum CDE is not
locate on the middle point of the two adjacent points
and the conventional simplified mid-point method is
not accurate.
15:30 - 17:10
15:30 - 17:10
A New Adaptive Motion Estimation Algorithm
Lei Meng and Hang Li
Shape and Area Computation of Cooperative
Workspace of Dual-Arm Robot
Yi Cao, Shijun He and Xiujuan Li
Based on finite element method and genetic algorithms
dynamic mathematical model is established, and the
simulation of stress distribution around the defects of
single crystal nickel-based superalloysis also established
with ANSYS.
A robot of a dual arm in two-dimension was illustrated. The common region of both arm workspaces
was viewed as the cooperative workspace, generated by
Monte Carlo method and computer graphics. The area
of the cooperative workspace was estimated by probability and statistics.
15:30 - 17:10
15:30 - 17:10
Design and Impacting Capability Research on
Driving Device of Puncturing Mud Robot
Zhonglin Zhang, Xiufen Ye and Liquan Wang
SLCO and DLCO:Two Ontologies for Detecting
and Resolving Schema and Data-Level Semantic
Conflicts
Jing Wen, Shidong Zhang and Zhongmin Yan
The driving device of robot was designed and work
principle is recounted and virtual assembly was finished. Parameter equation was educed and effect to
output capability was analyzed. Testing of impacting
capability was put up and impacting capability was validated.
Despite the critical importance of semantic interoperability between heterogeneous databases, current approaches have not been sufficiently effective and comprehensive. We propose an Ontology-Based solution,
which use two kinds of ontologies called Schema-level
Conflict Ontology and Data-level Conflict Ontology
(SLCO and DLCO).
Guowang
25
Session: M3-7
Monday, June 22, 15:30 - 17:10
15:30 - 17:10
15:30 - 17:10
Virtual Prototyping of the New Type
Hypocycloid Energy Transformation Mechanism
Yunfeng Xue, Qungui Du, Xiaodong Huang and Junpeng
Zhu
Design Optimization of a Geneva Mechanism for
Internal Combustion Engine Application
Dan Zhang, Mike Reed, Beizhi Li, Zhen Gao and Yunjian
Ge
For proposing a new type hypocycloid mechanism to
actually realize motion transformation between the rectilinear motion to rotary motion, the 3D virtual prototype, the kinematics and dynamics model were set up.
It is conformed that calculation results are correct. The
analytical models could be applied for intelligent control strategies.
The Geneva mechanism has been used for timing applications such as clocks, watches and film projectors
so using the great timing features it possesses would
be ideal. This research explores a totally different internal combustion design in automotive industry which
revolves around the Geneva mechanism.
15:30 - 17:10
15:30 - 17:10
Multidisciplinary Joint Simulation Technology for
Servo Mechanism Analysis
Xufeng Tong, Jin Huang and Dongxia Zhang
Irradiation Degradation of Chloramphenicol,
Thiamphenicol and Florfenicol with Electron
Beam
Jiaxin Zhou, Minghong Wu, Gang Xu, Ning Liu and
Qunli Zhou
The key technique of multidisciplinary joint simulation system is introduced. A novel multidisciplinary
joint simulation platform for servo performance analysis is established. The data exchange and integration
of servo system dynamics, finite element and control
analysis are realized. Finally, the application of joint
simulation platform is demonstrated.
Electron beam irradiation of chloramphenicol, thiamphenicol and florfenicol was studied and the main
radiolysis products were determined. The degradation
of chloramphenicol, thiamphenicol and florfenicol were
above 98% at the dose of 20kGy. The concentration
of ions in aqueous solution increased and the pH value
decreased. The degradation pathway was studied.
15:30 - 17:10
15:30 - 17:10
Experiments and Results of the Silicon
Micromachined Gyroscope
Fuxue Zhang, Q. W. Yan, W. Zhang and L. F. Wu
Research and Implementation of Mesh Mergence
from Multi-View Point Cloud
Wenqiang He
This paper reports a multifunctional silicon micromachined gyroscope for determining attitude of the rotating carrier. Both the principle and the experiment of
the gyroscope are presented to explain the multifunction. This article explains the way to determine the
deflecting direction and deflecting position of the rotating carrier in the gravitation field. In the final part,
the influence of temperature on determining attitude is
discussed.
Reconstruct 3D object shapes from multi-view point
cloud is one important task. A mesh mergence algorithm is presented. First, meshes are part-merged
easily using zippering; second, the triangles in pontes
expand and degenerate to stitch the gap; at last, the
mesh is optimized to delete redundant triangles.
Guowang
26
Tuesday
June 23, 2009
ICIA 2009
27
Tuesday, June 23, 2009
Time
10:20 - 12:00
13:30 - 15:10
15:30 - 17:30
Room
Session
Session Title
Guoxing
T1-1
Automation IV
29
Guoyun
T1-2
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
Guoxing
T2-1
Automation V
35
Guoyun
T2-2
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
Guoxing
T3-1
Automation VI
41
Guoyun
T3-2
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
Page
Session: T1-1
Tuesday, June 23, 10:20 - 12:00
Automation IV
Chairs: Juing-Shian Chiou, Hong Bae Park
Room: Guoxing
10:20 - 10:40
10:40 - 11:00
Robust and Non-Fragile Fuzzy H-Infinity Control
of Radar Gimbal Stabilization System with
Time-Delay
Seung Taek Park, Hyoung Ho Lee, Jun Ki Kim and Hong
Bae Park
The Optimization of the Application of Fuzzy Ant
Colony Algorithm in Soccer Robot
Juing-Shian Chiou and Kuo-Yang Wang
This article provides a theory which is based on the
Fuzzy Ant Colony Optimization, and then uses this
theory to design an optical speed for the football robots,
and then we also apply Ant Colony Optimization to
design its routes to avoid obstacles.
We describe the controller design method for nonlinear
radar gimbal stabilization system with time-delay and
polytopic uncertainty. We show that the resulting fuzzy
controller guarantees the asymptotic stability and disturbance attenuation of the closed-loop system in spite
of controller gain variations within a resulted polytopic
region.
11:00 - 11:20
11:20 - 11:40
A Delay-Range-Dependent Approach to Robust
H-Infinity Control for Uncertain Linear Systems
with Time-Varying Delays
Huaicheng Yan, Max Q.-H. Meng and Hao Zhang
An Automatic Incremental Update Solution for
Multi-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 on
MMS-IU updating model. The paper also proposed a
set of technology routes about incremental updating,
such as automatic matching, versions comparison and
conflict detect.
Delay-range-dependent robust Hinf ty control for uncertain systems with time-varying delays and parameter uncertainties is investigated. Some new criteria
on stabilization and the existence of Hinf ty controller
are proposed in terms of LMI. Numerical examples are
provided to demonstrate the effectiveness and the advantages of the proposed method.
11:40 - 12:00
Analysis of System and Process Based Quality
Management System and Evaluation Model
Genbao Zhang, Haifeng Zeng, Guoqiang Wang and
Gengbao Huang
This paper proposes a quality system evaluation methods based on the system and the process method. Quality management system (QMS) is break down into
three-layered structure. A model for evaluation of effectiveness of QMS is established based on the threelayered structure of QMS. GAHP method is adopted
for evaluation of QMS.
Guoxing
29
Session: T1-2
Tuesday, June 23, 10:20 - 12:00
Chairs: Wen Jung Li, Ming Shao
Room: Guoyun
10:20 - 10:40
10:40 - 11:00
Adjacent Grids Algorithm and Dynamics
Programming Realization for Minimum
Time-to-Climb Trajectories
Yali Chen, Xinmin Dong and Enlin Zu
Surface Spline Based Constructing Method for
Geomagnetic Reference Map
Yukun Qiao, Shicheng Wang, Jinsheng Zhang, Lihua
Chen and Qi Zhang
This paper deals with the minimum time-to-climb
problem. The relationship between consumption time
and other states is obtained by disposing the aircraft
equations of dynamics and motion. The time interval between adjacent grids in the vertical plane is figured out. The minimum time cost is calculated by DP
method.
Precise geomagnetic reference map is needed for geomagnetic navigation and surface spline method is used
to construct small-scale geomagnetic reference map and
two common-used interpolation methods are also used
to do comparisons. Results show that the constructing
method of geomagnetic reference map based on surface
spline is feasible.
11:00 - 11:20
11:20 - 11:40
A Method of Controlling MTC Solidification
Process by Cooling Threshold
Dongdong You, Wenfang Li, Ming Shao and Yuanyuan Li
Identifications of Quality Parameters in
Paper-Making Industry
Wenhao Shen, Xiaoquan Chen, Hongbin Liu and Jinxing
Liu
A method of controlling MTC solidification process by
cooling threshold was presented based on FEM simulation and experiments research. The 3D transient heat
transfer simulation was done to analyze the influence
of the cooling threshold on the workpiece temperature
field. The outcome provides a basis for selecting MTC
parameters.
The work focuses on the multivariable and closedloop identification of paper-making industrial processes. Through different noise-to-signal ratios, the
paper gives a conclusion that pre-filtration can improve the precision of closed-loop identification model.
Proposition of a novel criterion to evaluate the identification model is another conclusion.
11:40 - 12:00
Robust and Non-Fragile Fuzzy H-Infinity
Controller Design for Discrete-Time Systems with
Parameter Uncertainties and Time Delay
June Won Lee, Hyung Ho Lee, Joon Ki Kim and Hong
Bae Park
In this paper, we show a controller design method for
a class of discrete-time nonlinear systems described in
T-S fuzzy model, which has uncertainties in state and
input. The robust and non-fragile fuzzy H controller is
designed based on Lyapunov function theory, PDC and
PLMI method.
Guoyun
30
Session: T1-3
Tuesday, June 23, 10:20 - 12:00
Mobile Robots I
Chairs: Chien-Chou Lin, Jianda Han
Room: Guoxiang
10:20 - 10:40
10:40 - 11:00
Path Planning and Tracking for Autonomous
Underwater Vehicles
Bo He, Hongge Ran, Ke Yang, Luyue Huang and
Chunyun Ren
Multiple Robots Formation Control Based On
Receding Horizon Optimization
Yuqing He and Jianda Han
A new two-level receding horizon multiple robot formation control strategy is proposed in this paper. This
new algorithm presents some attracting advantages, including the suboptimal formation behavior based on
the receding horizon optimization, the convergence ensured by the GPMN structure, the good real time performance, and the reduced communicational burden.
This paper discusses path planning and path tracking
for an AUV. The proposed path planning algorithm can
produce optimal safe path and has good real-time performance as well. Path tracking algorithm is to solve
problem how AUV tracks a variety of shaped path.
Simulation results show the algorithms are effective.
11:00 - 11:20
11:20 - 11:40
The Structure and Defects Recognition Algorithm
of an Aircraft Surface Defects Inspection Robot
Zhiwei Xing, Muhua Chen and Qingji Gao
A Hierarchical Path Planning of Manipulators
Using Memetic Algorithm
Chien-Chou Lin
The structure of mechanical and control system are
proposed in part II. And a trajectory tracing control
algorithm is given next. The rivets cracks identification algorithm is proposed in part IV. The experiment
result and the conclusion are provided at last.
A 2-stage memetic algorithm (MA) is proposed for the
path planning of manipulators. The first stage, a MAKLINK based global planner, plans a trajectory which
the end-effector of a manipulator should follows. The
second stage, a memetic algorithm with a non-random
initial population plans a series of configurations.
11:40 - 12:00
Design and Modeling of Unmanned Trimaran
Surface Vehicles
Yan Peng and Jianda Han
The design, development, modeling and sea trials of
the Unmanned Trimaran Surface Vehicles (UTSV) are
presented in this paper. A control system was developed based on backstepping to guide the vessel to track
desired trajectories based on the input of the sensors.
Physical experiments were conducted to determine the
maneuvering property of UTSV.
Guoxiang
31
Session: T1-4
Tuesday, June 23, 10:20 - 12:00
Mechatronic Systems I
Chairs: Dan Zhang, Yunjiang Lou
Room: Guocui
10:20 - 10:40
10:40 - 11:00
Design and Analysis of a Piano Playing Robot
Dan Zhang, Jianhe Lei, Beizhi Li, Daniel Lau and Craig
Cameron
Topology Optimization of a Linear Motor
Actuated Parallel XY Stage
Jian Shen and Yunjiang Lou
This paper presents the development of a piano-playing
robot in order to provide people a mean of entertainment. The design and development of this research
include two parts: the design of a dexterous hand for
manipulating a piano and a linear motion control system.
Topology optimization technique is used to design a
high-performance XY stage for next generation of semiconductor manufacturing equipments. Instead of considering single part’s performance, a topology optimization for parts with respect to performance of the overall
mechanical system is proposed. A prototype was manufactured for verification.
11:00 - 11:20
11:20 - 11:40
A Measurement System Based on Virtual
Instrumentation for Field Dynamic Balancing of
Rotors
Shulin Chen, Xiaopeng Xie and Peitian Cong
FEM Analysis and Experimental Verification of
the Ultrasonic Transducer for Thermosonic
Flip-Chip Bonding Machine
Yi-Cheng Huang and Fu-Sheng Hsiao
A network system for measuring the vibration caused
by unbalance in the rotor is designed based on virtual
instrumentation. The influence coefficient method and
mode-balancing method are used for balancing of the
rigid and flexible rotors. We developed a field dynamic
balancing instrument consisting of hardware and software components.
Improving bonding efficiency of ultrasonic transducers
plays an important role. Analysis of transducer in mechanical vibration and electrical performance is concerned. Commercial ATILA software is used. Best
resonance frequency of the transducer was determined
with impedance and laser Doppler meter. In-laboratory
thermosonic bonding machine and characteristics of
transducer are presented.
11:40 - 12:00
Evaluation of Energy Harvesting by Using
Piezoelectric Unimorph Ceramics
Yung Ting, Hariyanto Gunawan, Bing-Kuan Hou and
Chong-Yu Huang
By using the piezoelectric direct effect, piezoelectric energy harvesters hold the promise of providing an alternative power generating device. Also, ambient vibration is the focus to provide the amount of available
mechanical energy resource that can be converted into
electricity by piezoelectric ceramics. Design and analysis of the piezoelectric unimorph ceramic and electric
converter as well as efficiency of electromechanical conversion and energy storage are studied.
Guocui
32
Session: T1-5
Tuesday, June 23, 10:20 - 12:00
Computer Vision IV
Chairs: Sergej Fatikow, Xiaojun Wu
Room: Guose
10:20 - 10:40
10:40 - 11:00
A New Method for Visual Hull Computation from
Image Sequences
Peng Song, Xiaojun Wu and Michael Yu Wang
An Adaptive Weight Values Updating Mean Shift
Tracking Algorithm
Sen Guo, Wei Liu, Xin Lu and Yongsen Liang
A roubst visual hull computaion method is addressed
which is based on the polygonization of octree construction. The approach use a new projection test when
building octree construction and define an isofunction
whose value represents the 3D distance to the visual
hull to extract very smooth mesh with MC.
A novel adaptive weight values updating mean shift
tracking algorithm is proposed, weight value of every
pixel is updated according to variation of motion state
calculated by a group of Kalman filters. The result of
experiments show it has advantage on reliability and
robustness.
11:00 - 11:20
11:20 - 11:40
Measuring Structure Parameters and Pulse
Equivalents of a Double-Chained Visual
Mechanism on a Circular Orbit
Liqiang Zhao, Lingfu Kong, Rong Jing and Yanhong Zhou
A New Method for Selecting Gradient Weight in
Incremental Eigen-Background Modeling
XiaoLong Lv, GuoLiang Zhao and Hao Meng
Background modeling is an important approach used
in motion detection. The background model should
adapt to dynamic change of the environment and update quickly. In this paper, some improvements on incremental eigen-background modeling are made. A new
method of selecting weight according to reconstruction
error is proposed. Compared with existing means, this
method can not only model background effectively but
also more efficiently.
Double-chained visual mechanism on a circular orbit
is a novel binocular visual platform. Measuring structure parameters and pulse Equivalents of motors is a
key question to ensure the accuracy of metric reconstruction of the scene. This paper describes an indirect
strategy based on vision measurement for it.
11:40 - 12:00
Vision Feedback for Automated Nanohandling
Sergej Fatikow, Christian Dahmen, Tim Wortmann and
Robert Tunnell
This paper presents different image processing methods and algorithms, which are needed to enable the
reliable automation of nanohandling processes. The
imaging sensor used is the scanning electron microscope
(SEM). Tasks on image data from the SEM include object recognition, object tracking and depth estimation.
All the algorithms are discussed.
Guose
33
Session: T1-6
Tuesday, June 23, 10:20 - 12:00
Information and Signal Processing II
Chairs: Yong Yu, Huiyuan Wang
Room: Guosheng
10:20 - 10:40
10:40 - 11:00
Graph Transformation with Variables for
Formalizing Delegation Authorization of Workflow
Yonghe Wei
A Novel Information Fusion Algorithm for
GPS/INS Navigation System
Xiaochuan Zhao, Qingsheng Luo, Baoling Han and Xiyu
Li
This article presents specification formalisms for workflow delegation policies using graph transformation
with variables. In this research, authorization states
are represented by graphs and state transition by graph
transformation with variables. We present an algorithm to automatically check and eliminate conflicts
between rules and constraints.
This paper proposes a novel second order fuzzy selfadaptive filter algorithm for GPS/INS navigation system. Choosing the differences of location and velocity
information provided by GPS receiver and INS device
as the inputs, this filter modifies the regulation factor
based on the residual sequence statistical information
and PDOP (Position Dilution of Precision )provided by
GPS receiver to correct the outputs of INS device using
fuzzy logic
11:00 - 11:20
11:20 - 11:40
Batch Algorithms of Matching Pursuit and
Orthogonal Matching Pursuit with Applications
to Compressed Sensing
Huiyuan Wang, Jose Vieira, Paulo Ferreira, Bruno Jesus
and Isabel Duarte
Sensing Information Forecasting for Power Assist
Walking Legs Based on Time Series Analysis
Zhaojun Sun, Yong Yu and Yunjian Ge
In order to improve the dynamic response of the Power
Assist Walking Legs (PAWL), we propose a novel sensing information forecasting algorithm based on the time
series analysis. The forecasting algorithm is designed
to be used on-line to ensure the real-time quality of the
whole system.
Batch algorithms of matching pursuit (MP) and orthogonal matching pursuit (OMP) are proposed . In
both algorithms, the original iteration procedures are
modified in the following way. Instead of finding a single best-matched atom in each iteration, we find a number of best-matched atoms to speed up the convergence,
- a batch version. Then optimized coefficients are computed based on these atoms. Numerical simulations in
the application to compressed sensing show that the
proposed algorithms are much faster than the original
ones, while similar reconstruction precision is obtained.
11:40 - 12:00
A New Public Watermarking Algorithm for RGB
Color Image Based on Quantization Index
Modulation
Jie Nie and Zhiqiang Wei
This paper proposes a novel watermarking algorithm
which chooses the margins of corresponding DCT coefficients selected from any two of the three color channel
as the signal constellation and embeds binary watermark image into it. The openness of algorithm is ensured by the alternate selections of different color DCT
coefficients
Guosheng
34
Session: T2-1
Tuesday, June 23, 13:30 - 15:10
Automation V
Chairs: Yisheng Guan, Zhenqiang Yao
Room: Guoxing
13:30 - 13:50
13:50 - 14:10
Modelling for Athwartships Trim of Ship Balance
and Actuator with Transferring Liquid Among
Tanks
Meng Tang and Wenshang Nong
A Revised B Spline Interpolation Algorithm of
CNC Machining
Lei Luo, Jun Hu, Fang Liu and Zhenqiang Yao
An revised algorithm of cubic B spline curve interpolation is discussed. The tangential vectors are used to
establish the curve equations. The trajectory and feedrate profile can be generated simultaneously and the
simulation results show that the algorithm has high calculation efficiency and meet the demands of feedrate
smoothing.
In the paper, a model of ship balance for athwartships
trim is established, the actuator based on the transferring Liquid among Tanks for ship balance control
is also involved and built. According to those system
models, the ship balance performance and dynamic balance process are investigated and analyzed with theory
calculation and simulation.
14:10 - 14:30
14:30 - 14:50
A Versatile Automatic Welding System and
Application of Train Hook Buildup Welding
Hongxin Shi, Jinhong Zhu, Lianmei Song, Xiaoping Zou
and Jian Han
Design of Human-Machine Interaction Module
and the Communication of Control System
Xin Guo, Xiuyun wang and Xiaoyun Xu
This paper mainly introduces the design of the Humanmachine interaction module in a control system based
on CAN (Controller Area Network) bus, and the communication of the control system with CAN bus. The
advanced AVR microcontroller is used to transmit and
handle the data in the Human-machine interaction
module, in which ARM microprocessor and LED screen
are used to achieve the show of data and the result from
the controlled parts.
This paper designed a versatile automatic welding machine. Its mechanical system includes workbench mechanism, adjusting mechanism of welding gun and revolution mechanism. There are two choices for the control
system, based on PLC or IPC separately. Experiments
showed that reasonable welding was achieved, and it
can improve work conditions.
14:50 - 15:10
Optimization Design of Lather-Beds Based on
FEA
Dongmei Li and Yisheng Guan
In this paper, we present three-dimensional modeling and finite element analysis methods for the optimization design of CNC lathes. We use PRO/E and
PRO/MECHANICA to build three-dimensional modeling and to optimize the structure of lathe-beds. The
final modal analysis shows that the presented optimal
design is feasible and can produce a better structural
performance.
Guoxing
35
Session: T2-2
Tuesday, June 23, 13:30 - 15:10
Chairs: Fan Yu, Rudiger Dillmann
Room: Guoyun
13:30 - 13:50
13:50 - 14:10
Research on Accuracy Improvement of INS with
Continuous Rotation
Qi Nie, Xiaoying Gao and Zhun Liu
Two Classes of Useful Order Reduction
approaches in Engineering Practice
Wei Tang, Xi Wang, Yuyan Chao and Lifeng He
The INS rotation in this paper as an important technique is presented to remarkably improve the performance of navigation system. Simulation results indicate that, compared with the static state, the proposed
method attenuates the navigation errors caused due to
inertial sensor and greatly enhances the navigation accuracy.
In terms of the basic principles of step response modeling and moment modeling, graphical and moment order reduction approaches are proposed. The parameter
determination procedures of the low-order approximating models are illustrated and comparisons are done by
simulations to verify the approximating abilities of the
proposed method.
14:10 - 14:30
14:30 - 14:50
Optimal Model Following Control of Four-Wheel
Active Steering Vehicle
Bin Li and Fan Yu
Segmentation and Approximation of Objects in
Pointclouds using Superquadrics
Marcus Strand and Rudiger Dillmann
Four-wheel active steering (4WAS) is investigated in
this paper. A model following control structure is
adopted in which feedback controller is designed using optimal control theory to minimize the tracking errors between vehicle model and reference model. The
computer simulations are performed to evaluate the effectiveness of proposed controller.
The abstraction from raw pointclouds to high level representations is a necessity in real world robotic applications. This concerns the semantic description of household objects as well as the handling of complex objects (like grasping). This paper describes a method
for the manual segmentation of objects from scenes
and the automated approximation of objects with high
level descriptors. For both tasks solutions based on
superquadrics are presented.
Guoyun
36
Session: T2-3
Tuesday, June 23, 13:30 - 15:10
Mobile Robots II
Chairs: Hanxu Sun, Huaqing Min
Room: Guoxiang
13:30 - 13:50
13:50 - 14:10
Motion Control of a Novel Spherical Robot
Equipped with a Flywheel
Qingxuan Jia, Hanxu Sun, Yili Zheng, Hongyu Cao and
Hongyi Li
Virtual Simulator with Mobile Robot Rapid
Prototyping for Navigation Systems
Leonimer Flavio de Melo and Jose Fernando Mangili
Junior
A spherical robot equipped with a high-rate flywheel
(BYQ-V) is presented, the gyroscopic effects of the flywheel can enhance the stability of the robot. The mechanical structure, control system and simplified dynamic model are given. A LQR controller and PD
controller are designed. The controllers are validated
through experiment.
This paper presents the virtual environment implementation for project simulation and conception of supervision and control systems for mobile robots, that are capable of operate and adapting in different environments
and conditions. The purpose of this virtual system is
to facilitate the development of embedded architecture
systems.
14:10 - 14:30
14:30 - 14:50
A Component-Based Hybrid Testbed for
Multi-Mobile Robots
Jinhui Zhu, Qilun Zheng, Yingju Liang, Mingjie Liang
and Huaqing Min
Multi-Ultrasonic-Sensor Grid Map Building Based
on D-S Evidence Theory
Hongyu Cao, Hanxu Sun, Qingxuan Jia and Yili Zheng
A method of unstructured unknown environment
grid map building using ultrasonic sensors based on
Dempster-Shafer evidence theory is proposed. The
problem that evidence theory can’t be applied to information fusion under certain circumstances and evidence theory has counter-intuitive behaviors in some
cases is avoided by an approximate process algorithm.
This paper describes a component-based hybrid testbed
for multi-mobile robots. On the testbed, real and virtual robots operate together in an augmented reality
environment. The simulation server and robot software clients are built by assembling different kinds of
components. Experiments show the tesbed is flexible
and suitable for multi-mobile robots.
14:50 - 15:10
Vision-Based Ball Recognition for Soccer Robots
without Color Classification
Huimin Lu, Hui Zhang, Shaowu Yang and Zhiqiang Zheng
A novel method is proposed to recognize the FIFA ball
for soccer robots. The ball can be recognized by detecting the ellipse imaged by the ball after deriving the
imaging character of omni-directional vision. A perspective camera is added to assist recognizing the ball
by Sobel filter and Hough Transform.
Guoxiang
37
Session: T2-4
Tuesday, June 23, 13:30 - 15:10
Mechatronic Systems II
Chairs: Aiguo Ming, Wei-Hsin Liao
Room: Guocui
13:30 - 13:50
13:50 - 14:10
A Component Model and Layered System
Architecture for Reconfigurable CNC Systems
Shaohua Du, Dong Yu, Yi Hu and Yan Huang
Fault Diagnosis of Gearbox by Fast ICA and
Residual Mutual Information Based Feature
Extraction
Weidong Jiao
In order to solve the growing complexity of CNC systems, this paper presents a component model and
layered system architecture for reconfigurable CNC
systems, which addresses the functional and nonfunctional requirements of CNC systems. The proposed
model improves the reusability of system software. The
layered architecture also facilitates the implementation
of some advanced functions.
The ICA was applied to fusion of multi-channel measurements by sensors. Furthermore, statistical features
higher than second order, which embedded into the
measurements, were captured. Then, certain typical
neural classifier was trained for the final pattern classification. The experimental results show effectiveness
of the proposed method.
14:10 - 14:30
14:30 - 14:50
EPS Control Technology Based on Road Surface
Conditions
Yan Zhao, Yi Cheng and Hong Wang
Development of a Small Tracking Camera System
for Mobile Platforms
Tomohisa Aruga, Naoyuki Wada, Aiguo Ming, Norio
Kurakane, Motoo Satoh and Hideno Takeuchi
Information regarding road surface conditions can be
separated by frequency. These frequencies can be utilized in designing an EPS system more effectively in
comparison to a conventional HPS system. A means of
combining EPS design with information based on road
surface conditions to create a robust EPS system has
been achieved.
A small tracking camera system has been developed
by authors. The purpose of the tracking camera system is both to stabilize the camera and to track the
target simultaneously. This paper describes the system configuration, the design of controller and sensor
systems, and the experimental results on the tracking
performance.
14:50 - 15:10
An Improved Self-Powered Switching Interface for
Piezoelectric Energy Harvesting
Junrui Liang and Wei-Hsin Liao
In piezoelectric energy harvesting, by using the nonlinear technique named synchronized switching harvesting on inductor (SSHI), the harvesting efficiency can
be greatly enhanced. In this article, a modified circuitry and an improved analysis for the self-powered
SSHI are proposed. They lead to better design and
understanding to this switching interface.
Guocui
38
Session: T2-5
Tuesday, June 23, 13:30 - 15:10
Sensors I
Chairs: Xianmin Zhang, Shuanghui Hao
Room: Guose
13:30 - 13:50
13:50 - 14:10
Lubricant Film Thickness Measurement Using
Fiber-Optic Michelson Interferometer and
Fiber-Optic Displacement Sensor
Yuping Chen, Xiaodong Zhang, Ping Zhang and
Chunxiang Liu
An Effective Binocular Vision-Based Sensing
Approach for IAUV
Xinqian Bian, Xiaojuan Wang and Wei Zhang
A binocular sensing approach for IAUV (Intervention
Class AUV) is proposed using texture-control based
pyramid NCC to extract target region or outline, and
target range. A series of sub-methods were used to
quicken the approach and improve its accuracy. Simulative and water tank experiments were conducted to
validate the approach.
This paper focus on a new detection approach using a
fiber-optical Michelson Interferometer combined with a
fiber-optical displacement sensor for the lubricant film
thickness measurement.
14:10 - 14:30
14:30 - 14:50
Distributed Uncorrelated Optimal Fusion
Algorithm and Its Application in Estimation of
Paper Basis Weight
Xuebo Jin and Yuesong Lin
A High Speed AOI Algorithm for Chip
Component Based on Image Difference
Hongwei Xie, Yongcong Kuang and Xianmin Zhang
The paper uses a SAM technique to get the template
of a component. A high speed alignment method is
proposed to adjust the positionof component. Based
on image differences, some inspection rules were given
to determine the defect type. The study is useful for
practical applications.
In practice, the state supervision of paper machine is
generally obtained by the same kind of sensors. For
this special multisensor system, distributed uncorrelated optimal fusion algorithm is received by avoiding
computing correlated estimation covariance based on
the matrix operation and is applied in estimation of
paper basis weight system.
Guose
39
Session: T2-6
Tuesday, June 23, 13:30 - 15:10
Information and Signal Processing III
Chairs: Zesheng Tang, Guanghua Zong
Room: Guosheng
13:30 - 13:50
13:50 - 14:10
Application of Wavelet and Hilbert Transform in
the Detecting Parameter Recognition of Box Milk
Quality
Xianjiang Shi, Qiang Jing and Xinjie Zhao
An Improved Self-Adaptive Tracking
Differentiator
Guohui Qiao, Minglei Sun, Guanghua Zong and
Shouzhong Li
Application of Wavelet and Hilbert Transform in the
Detecting Parameter Recognition of Box Milk Quality
Xianjiang Shi, Qiang Jin and Xinjie Zhao AbstractThe
wavelet denoising principle combined with the Hilbert
transform principle is applied in the detecting parameter recognition of box milk quality under the noise,
which can improve the detection accuracy and make
the boxed liquid milk quality accuracy close to the theoretical value with the noise.
The performance of traditional Tracking Differentiator
will decline when tracking great changing signals. This
paper presents a novel self-adaptive second-order TD.
The result showed this algorithm could effectively restrain oscillations when input signals changed in a low
rate, and guarantee a small phase shift when the input
signals varied rapidly.
14:10 - 14:30
14:30 - 14:50
An Algorithm of Small and Dim Target Detection
in Deep Space Background
Hong Zhang and Yicheng Bai
Identification of Multi-Layered Structure
Properties Using Wavelet-Fractal Dimension of
Ultrasonic Data
Dun Yi, Jianhui Chen, Guanglong Wang, Xiaohong Shi
and Zhangsui Xu
In this article, a method of image registration based
on Feature Space of Distance (FSD) between points is
firstly introduced into dim and small target detection
in deep space background. This algorithm uses feature space to calculate the transform parameters and
realizes the detection through the suppression of the
background.
This paper present a wavelet-fractal dimension approach for extracting feature from ultrasonic nondestructive evaluation (NDE) data of a test multilayer
adhesive structure specimen. It is believed that the features extracted via the method outlined in this paper
provide considerable promise in the area of the test of
multilayered structure.
14:50 - 15:10
A Non-Uniform Rectangular Partition Coding of
Digital Image and its Application
Kin Tak U, Zesheng Tang and Dongxu Qi
In this paper, a novel method for image coding based on
non-uniform rectangular partition is proposed. Based
on it, an effective scheme of information disguise is implemented and some experimental examples are illustrated to prove that the quality of the re-constructed
image and the coding speed are all satisfactory.
Guosheng
40
Session: T3-1
Tuesday, June 23, 15:30 - 17:30
Automation VI
Chairs: Alexander Lebedev, Qingke Yuan
Room: Guoxing
15:30 - 15:50
15:50 - 16:10
Safety Monitoring and Management System for
Fluid Catalytic Cracking (FCC) Process
Laihua Fang and Zongzhi Wu
Multi-Channel Adaptive VSS with the Sliding
Surfaces Adjustment for the Control of
Nonstationary Dynamic Object
Alexander Lebedev and Vladimir Filaretov
Procedures of Hazard identification, risk evaluation of
the FCC process are presented for the design and development of a safety monitoring and management system. A novel structure of the system is proposed. Design of functions, which cover parameters monitoring,
safety analysis, video monitoring, early-warning, safety
management, etc, is explored.
The method of the synthesis of multi-channel adaptive variable structure system with the sliding mode
for the centralized control of spatial motion of the nonstationary linear object is developed in this paper. The
conditions of the existences of stable sliding mode are
obtained and strictly proved. The new law of the adaptive adjustment of the position of sliding hyper-surfaces
in each control channel is proposed and mathematically
substantiated.
16:10 - 16:30
16:30 - 16:50
A New Mechanism for Boring of Noncircular Hole
and its Performance Simulations
Kai Zhang, Quan Yang and Jun Yu
Theoretical and Experimental Study of Silicon
Micromachined Gyro for Coning Motion of
Spinning Projectile
Qingwen Yan, W. Zhang, L. F. Wu and F. X. Zhang
A revolving magnetic mechanism composed of a stator
and rotor has been designed. The simulations show
the magnetic force is little while there are only bias
currents. The influences of bias currents to magnetic
forces have been simulated and calculated theoretically,
and this would be useful to design such mechanism.
AbstractMany theoretical studies prove that the rate
gyro can be used for navigation system of the spinning
projectile, but these studies are insufficient experimental proofs under condition of the coning motion of the
spinning projectile. In this paper, the motion equation of spinning projectile including coning motion and
its numerical results are obtained. The silicon micromachined rate gyro is developed to sense the rotation
frequency.
16:50 - 17:10
A Products Integrated and Collaborative Design
Methodology Based on Virtual Product
Prototypes
Qingke Yuan, Fengyang Xu and Dahui Liu
A Product Integrated & Collaborative Design methodology based on virtual product prototypes (PICD) is
explored. In PICD, a product master model is used as
a shared information database and a virtual product
prototype is used to detect the products performance
by simulating the products working process and interactive using process.
Guoxing
41
Session: T3-2
Tuesday, June 23, 15:30 - 17:30
Chairs: Xuedong Chen, Wei Ji
Room: Guoyun
15:30 - 15:50
15:50 - 16:10
A Light-Weight Car Navigation Algorithm for
High Speed Agents using Wireless Landmark
Mersedeh Sanjabi, Somayyeh Maabi, Ali Jahanian and
Sirvan Khalighi
Cascade Servo Control for LOS Stabilization of
Opto-Electronic Tracking Platform -Design and
Self-Tuning
Wei Ji, Qi Li, Bo Xu, Junjun Tu and Dean Zhao
In this paper, a lightweight wireless landmark-based
car navigation algorithm (LWCN) is presented which
can be efficiently used in real-time systems. We implemented the LWCN on a real-time MIPS-based embedded system and analyzed its accuracy and efficiency in
various states, especially for high speed movements in
real roads.
A dual speed loop cascade control is presented in optoelectronic stabilized system. The system performance
is compared with single loop structure. The inner loop
adopts PI and a time optimal self-tuning PID is developed in outer loop. Experimental results indicate that
the proposed method can achieve higher precision and
is effective.
16:10 - 16:30
16:30 - 16:50
Design of an Intelligent SMS-based Remote
Metering System
Md. Wasi-ur- Rahman, Mohammad Tanvir Rahman,
Tareq Hasan Khan and S. M. Lutful Kabir
Investigation on Controllability of a
Magnetorheological Gun Recoil Damper
Hongsheng Hu, Jiong Wang, Suxiang Qian and Xuezheng
Jiang
AMR is a state-of-the art technology for reading electric, gas or water meter readings automatically from
remote places without any human intervention. In this
paper, a technique for remotely reading electricity meter readings using SMS has been illustrated. Existing
GSM networks have been used for sending and receiving SMS.
At present, a systematic architecture has still not
been formed, including its structure design, dynamicmodeling and controlling method of a MR damper subjected to impact load. Its primary purpose of this study
is to provide a comprehensive investigation on the controllability of a Magnetorheological (MR) gun recoil
damper.
16:50 - 17:10
Dynamic Characteristics of Aerostatic Bearings in
Nano-Precision Stage
Yixi Ye, Xuedong Chen and Xin Luo
In this paper, the dynamical performance of precision
stage with an annular aerostatic bearing is investigated
numerically and experimentally. It is discussed that
how different design and working condition of the aerostatic bearing affects the dynamical performance of
nano-precision stage.
Guoyun
42
Session: T3-3
Tuesday, June 23, 15:30 - 17:30
Mobile Robots III
Chairs: Huosheng Hu, Yan Meng
Room: Guoxiang
15:30 - 15:50
15:50 - 16:10
Adaptive Unscented Kalman Filter for Deep-Sea
tracked Vehicle Localization
Hongqian Zhu, Huosheng Hu and Weihua Gui
Probabilistic Localization Methods of a Mobile
Robot Using Ultrasonic Perception System
Lei Zhang and Rene Zapata
Abstract This paper presents an integrated navigation
method based on adaptive unscented Kalman filters
(AUKF). Taking into account the influence of measurement data delay, AUKF fuses the information from a
long base line (LBL) sonar localization system and the
dead-reckoning data to perform the state estimation.
Experimental results show that AUKF has better localization accuracy than a normal UKF for a deep-sea
tracked vehicle (DTV).
We propose three probabilistic approaches to solve the
global localization problem and the kidnapped robot
problem. They are the hybrid Grid-MCL algorithm,
sampling in Similar Energy Regions (SER) and the
combination approach with adaptive samples. The validity of our approaches is verified through extensive
simulations employing ultrasonic perception system.
16:10 - 16:30
16:30 - 16:50
Coal Mine Detect and Rescue Robot Technique
Research
Junyao Gao, Xueshan Gao, Jianguo Zhu, Wei Zhu, Boyu
Wei and Shilin Wang
Terrain Feature Localization for Mobile Robots in
Outdoor Environments
Xiaorui Zhu and Mark Minor
A novel terrain feature localization technique is proposed in this paper to allow the robot to identify its
location relative to measurable terrain characteristics.
In the example of a two-axle wheeled mobile robot, a
terrain inclination map is extracted from a given topographical map along a specific path. An EKF is used
to fuse the measurement data with the robot motion
based on the extracted terrain map. Simulations validate the proposed terrain localization technique.
This paper introduces a coal mine detect and rescue
robot. It goes into explosion environment and detects
gas content, temperature, and carry some food and
medicine to people pin down in disaster. The main
problem of it is weight than ordinary robot, communicate in turn tunnel, explosion-proof structure.
16:50 - 17:10
17:10 - 17:30
Dynamic Multi-Robot Task Allocation for
Intruder Detection
Yuyang Zhang and Yan Meng
Active Particle in MCL: an Evolutionary View
Huaqing Min, Huan Chen and Ronghua Luo
This paper develops an efficient algorithm which
puts the process of Monte Carlo Localization in the
CLONAL framework, and utilizes Particle Swarm Optimization to improve the mutation process. The key
idea is to carry out a heuristic searching step on the
particles generated in MCL.
In this paper, we propose a decentralized multirobot/multi-sensor system for intruder detection in
perimeter defense. Fiber optic sensors are used as cueing sensors to robots. A shame-level based dynamic
task allocation algorithm is proposed for intruder tracking, and a gap-based algorithm is proposed for selfdeployment of the remaining robots.
Guoxiang
43
Session: T3-4
Tuesday, June 23, 15:30 - 17:30
Pattern Recognition I
Chairs: Zuyuan Wang, Qing He
Room: Guocui
15:30 - 15:50
15:50 - 16:10
Unusual Pattern Detection Based on Hyper
Surface and Minimum Spanning Tree
Qing He, Jincheng Li, Weizhong Zhao and Zhongzhi Shi
Mean Shift Segmentation Applied into ADS40
Data for Automatic Tree-Layer Detection
Zuyuan Wang, Ruedi Boesch, Lars Waser and Christian
Ginzler
In this paper, we propose an approach for discovering unusual observations. We firstly apply an unsupervised version of Hypersurface classification algorithm to
gain the separating hypersurface. In the case of local
density, we additionally search the Minimum Spanning
Tree. The subdividing is proceeded according to the
domain knowledge.
Our research aim is to interpret the objective and
measurable NFI forest definition by using automatic
computer-vision based methods. Preliminary experimental results show the ability of mean-shift segmentation method combining with curvature feature from
ALS for automatic forest detection.
16:10 - 16:30
16:30 - 16:50
A New Fast Chinese Visible Human Brain Skull
Stripping Method
Yunjie Chen, Jianwei Zhang and Sunfeng Wang
Application of Support Vector Machine to Apple
Recognition Using in Apple Harvesting Robot
Jinjing Wang, Dean Zhao, Wei Ji, Junjun Tu and Ying
Zhang
We use adapted Gauss Mixture model as a promising
starting point for a sophisticated segmentation framework of color images within 3-dimensions. For the effect
of the fake grey matters in CVH brain data, a proper
image preprocessing strategy turned out to be necessary for accurate and robust segmentation results.
For improve recognition accuracy and efficiency, Classification method based on support vector machine is
developed for recognition of fruit in apple harvesting
robot. Images segmentation based on region growing
and color properties is done. Experimental results indicate that the proposed method is effective in classification 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 spatial information is presented for wood images retrieval.
Hue, saturation, value, contrast, angular second moment, sum of variances, long run emphasis, fractal dimension and wavelet energy proportion are extracted,
and used to retrieve species. The results show that
retrieval effectiveness can be improved.
Guocui
44
Session: T3-5
Tuesday, June 23, 15:30 - 17:30
Sensors II
Chairs: Zude Zhou, Yunjian Ge
Room: Guose
15:30 - 15:50
15:50 - 16:10
An Improved Harmonic Detection Optical Fiber
Gas Sensor
Jiming Sa, Zude Zhou, Gang Zhang and Youping Chen
A Novel Ultrasonic Ranging System Based on the
Self-Correlation of Pseudo-Random Sequence
Xiaochuan Zhao, Qingsheng Luo, Baoling Han and Xiyu
Li
Mathematical model of optical fiber gas sensor based
on difference-harmonic detection was presented and analyzed, and structure of the sensor was designed. By
using this method, systems ability of detecting 2nd harmonic component is enhanced, and systems resolving
power is increased too.
A novel ultrasonic ranging system based on the selfcorrelation of pseudo-random sequence is designed.
Modular design is applied in this ultrasonic ranging
system, which can measure the ultrasonic propagation
velocity and transit time accurately, and then calculates the obstacles distance. Low power consumption
and high performance TMS320VC5509A DSP is used
as the ultrasonic ranging systems signal processor.
16:10 - 16:30
16:30 - 16:50
An Information Theoretic Approach Based
Kullback-Leibler Discrimination to Multiple
Target Tracking
Yifan Xu, Yuejin Tan, Zhenyu Lian and Renjie He
A Novel Thin Six-Dimensional Wrist
Force/Torque Sensor with Isotropy
Qiaokang Liang, Yunjian Ge, Quanjun Song and Yu Ge
Aim to decrease the additional torque originated from
the height of the sensors, we design a thin sixdimensional force senor which is only 15mm high. The
sensor has a simple geometry and possesses the advantages of configurational simplicity, isotropic and high
sensitivity.
This paper applies the Kullback-Leibler divergence for
myopic sensor resource allocation. By taking the expected Kullback-Leibler discrimination as the information gain, the best sensor action is decided by maximizing the expected information gain. The proposed
algorithm is compared with several other methods in
the experiments.
16:50 - 17:10
Design of Networked Control System Based on
Wireless Sensor Networks
Hongjun Li, Xun Li, Shen Jie and Hongxu Ma
Serving as backbone of control applications, WSNs will
enable an unprecedented degree of NCS. In the paper we analyze and design a networked control system
where communication between sensors, controller, and
actuator takes place over WSNs. A state predictive and
state estimation based on the Extended Kalman Filter
is presented.
Guose
45
Session: T3-6
Tuesday, June 23, 15:30 - 17:30
Information and Signal Processing IV
Chairs: Jwu-Sheng Hu, Chi-Man Pun
Room: Guosheng
15:30 - 15:50
15:50 - 16:10
Invariant Shape Representation by Radon and
Wavelet Transforms for Complex Inner Shapes
Wenli Yao and Chi-Man Pun
High-Resolution Imaging using a Wideband
MIMO Radar System
Dangwei Wang, Niejing Duan, Xiaoyan Ma and Yi Su
This paper proposes a novel and effective invariant
shape representation by Radon and stationary wavelet
transforms for images with complex inner shapes. The
proposed method is invariant to general geometrical
transformations.
In this paper we propose an imaging method via wideband multiple-input multiple-output radar to reduce
the hardware complexity of the system. Compared to
the narrowband MIMO imaging system, every array
element transmits and receives simultaneously in our
array configuration, and therefore, the hardware complexity can be significantly reduced.
16:10 - 16:30
16:30 - 16:50
Signal Pattern Analysis of High Speed Rotational
Arc Sensor in GMAW
Yonghua Shi, Songsheng Zeng and Guorong Wang
Speech Enhancement Using Transfer Function
Ratio Beamformer and Matched Filter Array
Jwu-Sheng Hu and Chia-Hsing Yang
A geometry model of weld bead profile and torch rotating has been developed. The simulated current waveforms are consistent with welding experimental current
waveforms. The results show that the deviation of the
welding torch is in proportion with the asymmetry of
the current waveform in each corresponding arc rotational cycle.
This paper develops a speech enhancement approach to
extract desired speech signal from the corrupt observations. The proposed method uses transfer function ratio beamformer, H infinite adaptive filter algorithm and
matched filter array to perform speech enhancement as
well as dereverberation at two stages.
16:50 - 17:10
An Image Enhancement Algorithm for Screening
Mammograms in the Multiscale Laplacian
Pyramid
Xiaoming Liu, Jinshan Tang, Zhilin Feng and Zhaohui
Wang
A multiscale contrast enhancement algorithm based on
Laplacian Pyramid is developed to enhance the contrast of the mammograms. An image is first decomposed into a multi-level Laplacian Pyramid and a multiscale contrast measure is used to modify the coefficients iteratively level by level and the enhanced image
is obtained at the lowest level.
Guosheng
46
Wednesday
June 24, 2009
ICIA 2009
47
Wednesday, June 24, 2009
Time
10:20 - 12:00
13:30 - 15:10
15:30 - 17:10
Room
Session
Session Title
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
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
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
Page
Session: W1-1
Wednesday, June 24, 10:20 - 12:00
Intelligent Control I
Chairs: Wen-Jer Chang, Lifu Li
Room: Guoxing
10:20 - 10:40
10:40 - 11:00
Neural Network Adaptive Control of
High-Precision Flight Simulator: Theory and
Experiments
Hongjie Hu, Ping Zhan and Dedi Li
Nonlinear Internal Model Control Using Neural
Networks for Gas Collectors of Coke Oven
Hongxing Li, Yinong Zhang and Xuetao Wu
An internal model control using neural networks for
the pressure system of gas collectors of coke oven is
presented in this paper. The neural model of the system is identified by genetic algorithm. Another neural
network is trained to learn the inverse dynamics of the
system as a nonlinear controller.
This paper developed a control scheme of neural network based on feedforward and PD control for highprecision flight simulator.A RBFNN controller was
used,and the iterative algorithm of RBFNN parameters
is got by Lyapunov stability theory.The effectiveness of
the proposed control scheme is evaluated by simulation
and experiments.
11:00 - 11:20
11:20 - 11:40
Multi-Objective Flexible Job Shop Schedule
Based on Improved Ant Colony Algorithm
Li Li and Keqi Wang
Hardware-in-Loop Simulation Method for
Electronic Stability Program Based on Virtual
Integrated Technology
Lifu Li and Jing Hong
A method for solving multi-objective flexible job shop
scheduling problem based on improved ant colony algorithm is presented in this paper. The algorithm we presented is validated by practical instances. The results
obtained have shown the proposed approach is feasible
and effective for the multi-objective flexible job shop
scheduling problem.
Aiming at the development of ESP, HILS method
based on virtual integrated technology, which combines
virtual model by ADAMS/Car, virtual controller by
Simulink, and LabVIEW platform, is introduced. The
principle and structure of this method are explained.
The HILS system for ESP is developed. Experiments
results are analyzed and compared.
11:40 - 12:00
Passive Fuzzy Controller Design for a Model Car
via Discrete T-S Fuzzy Model with Multiplicative
Noise
Wen-Jer Chang, Min-Wei Chen and Cheung-Chieh Ku
This paper deals with steering control problem of a
computer simulated model car with fuzzy control approach. For simulating the real environment, the
stochastic behavior of system is considered as multiplicative noise term. In addition, the external disturbance effect on system is also discussed for achieving
attenuation performance by applying passivity theory.
Guoxing
49
Session: W1-2
Wednesday, June 24, 10:20 - 12:00
Intelligent Systems I
Chairs: Xiaobu Yuan, Xin Wang
Room: Guoyun
10:20 - 10:40
10:40 - 11:00
Zero Phase Error Tracking Control with Friction
Compensation Based Motion Control System
Xin Wang, Nengfeng Liu, Zhiqiang Liu and Maobin Wang
Multi-Agent Based System Architecture for Agile
Manufacturing System and its Learning
Algorithm with CMAC (Cerebellar Model
Articulation Controller)
Fuqing Zhao and Yahong Yang
AbstractTo reduce the tracking error caused by the
friction and servo lag, zero phase error tracking controlZPETCusing traditional PID controller and friction
compensation is proposed. The friction model is based
on LuGre model. Simulation and experimental results
show that the controller has positive effect.
A multi-agent system based system architecture for agile manufacturing systems which include agent architectures, communication interface between agents in the
manufacturing system, agent data module, knowledge
module are proposed. A agent learning model and its
mapping algorithm for CMAC are presented to make
the agent system have self learning ability.
11:00 - 11:20
11:20 - 11:40
Implementing a No-Loss State in the Game of
Tic-Tac-Toe using a Customized Decision Tree
Algorithm
Sivaraman Sriram, Rajkumar Vijayarangan, Saaisree
Raghuraman and Xiaobu Yuan
Wireless Sensor Network for Community
Intrusion Detection System Based on Classify
Support Vector Machine
Jingwen Tian, Meijuan Gao and Shiru Zhou
Wireless Sensor Network for Community Intrusion Detection System Based on Classify Support Vector Machine Jingwen Tian, Meijuan Gao, Shiru Zhou Introduction Community Intrusion Detection System Face
Recognition Method Study 1. The Principle of SVM 2.
Multi-classify SVM Application 1. Characteristic Parameters 2. Confirmation Parameters of Classify SVM
3. Application Study Conclusion
The game of Tic-Tac-Toe is one of the most commonly
known games. This game does not allow one to win all
the time and a significant proportion of games played
results in a draw. This study is aimed at evolving of
no-loss strategies in the game using Decision Tree Algorithm and comparing them with existing methodologies, mainly focused on the implementation of the game
using the Minimax algorithm.
Guoyun
50
Session: W1-3
Wednesday, June 24, 10:20 - 12:00
Mobile Robots IV
Chairs: Dong Sun, Howard Li
Room: Guoxiang
10:20 - 10:40
10:40 - 11:00
A Decentralized Local Constraint Path Planner
for Multiple Mobile Robots
Shuang Liu, Dong Sun, Changan Zhu and Wen Shang
Mechanical Design and Control System of a
Miniature Surveillance Robot
Change Zheng
This paper presents a decentralized motion planning
methodology for multiple mobile robots. A novel threestep Local-Constraint-Path Planner (LCPP) is proposed to perform path planning for each robot while
considering kinematic constraint and online implement
efficiency. A priority-based strategy is employed in the
planning to avoid mutual collisions amongst the robots.
Secret surveillance in tightly constrained spaces is demanded in many military and civilian activities. However, the crucial problem is the difficulty of packing
locomotion, sensing, computing subsystems into constrained space. This paper presents the mechanical
design, the control system of a miniature autonomous
surveillance robot for indoor reconnaissance tasks.
11:00 - 11:20
11:20 - 11:40
On-Line Affective Cognitive Learning and
Decision-Making for Autonomous Navigation of
Mobile Robots
Huidi Zhang and Shirong Liu
Fusion of Automation and Teleoperation for
Person-Following with Mobile Robots
Hemin Omer Latif, Nasser Sherkat and Ahmad Lotfi
A novel taxonomy for Person-Following, which presents
the tasks that are believed to exist in any PersonFollowing system, is introduced. A number of likely cycles of tasks based on real life scenarios are introduced
too. Then, fusion of automation and teleoperation for
Person-Following is achieved using TeleGaze which was
developed as a means of natural HRI for teleoperation
through eye gaze.
A new autonomous navigation control framework is
presented for mobile robots by integrating affective cognitive learning and decision making (ACLDM) model
with behavior-based robot system. Rational strategies for behaviors coordination are developed by online affective cognitive learning. This control strategy
can make the mobile robot navigate autonomously and
safely in unknown environment.
11:40 - 12:00
A Non-Time Based Action Executor for the
Coordinated Hybrid Agent Framework
Howard Li
In this paper, a non-time based action executor is proposed for the Coordinated Hybrid Agent (CHA) framework for the control of multi-agent systems. The nontime based agent is designed for multiple intelligent vehicles. Non-time based motion controllers have been
successfully applied to many areas such as robot motion control, multi-robot coordination, force and impact control, robotic teleoperation and manufacturing
automation.
Guoxiang
51
Session: W1-4
Wednesday, June 24, 10:20 - 12:00
Pattern Recognition II
Chairs: Huiyuan Wang, Chunmei Wang
Room: Guocui
10:20 - 10:40
10:40 - 11:00
Multiple Dictionaries-Based Radar Target
Identification via a Likelihood Ratio Test
Dangwei Wang, Ning Wu and Xiaoyan Ma
Robust Path Based Semi-Supervised
Dimensionality Reduction
Guoxian Yu, Hong Peng, Qianli Ma and Jia Wei
In this paper, we present an iteration procedure to optimize the size of the undercomplete dictionary when
multiple dictionaries are used to characterize the scattering signatures of a complex target. Furthermore, we
extend the signature reconstruction and decision criterion with only single undercomplete dictionary to the
case with multiple dictionaries.
Similarity matrix is crucial for graph base dimensionality reduction algorithm. we construct a robust path
based similarity matrix, which is superior to the similarity matrix derived from the traditional k nearest
neighborhood, besides we use side-information in the
semi-supervised learning style to get a transformation
matrix for dimensionality reduction.
11:00 - 11:20
11:20 - 11:40
Face Recognition Based on Circularly
Symmetrical Gabor Transform
Huiyuan Wang, Jinjun Wang, Xiaojuan Wu, Jose Vieira
and Paulo Ferreira
Automatic Detection of Epileptic Sharp-Slow by
Wavelet and Approximate Entropy
Chunmei Wang, Junzhong Zou, Jian Zhang and Zhisuo
Zhang
We propose a face recognition approach using circularly symmetrical Gabor transform (CSGT). The traditional Gabor transform is replaced by CSGT. All the
face images are transformed by CSGT first and then
face recognition is performed in CSGT feature space.
Detailed theoretical analysis is presented and simulation results on Yale, AR and ORL face databases are
given.
A new scheme is based on the characteristic of a multiresolution and approximate entropy (ApEn) analysis
of EEG signals. The EEG signals are detected by
Neyman-Pearson criteria. The optimal detection rule
of detecting sharp-slow is achieved.
11:40 - 12:00
Gene Expression Pattern Extraction Based on
Wavelet Analysis
Xinping Xie and Xuanhao Ding
Gene expression data are highly redundant and
noisy,and hidden gene correlation patterns play more
important roles to cancer classification than any single gene or simple combinations of genes. CWT can
more effciently detect the consistent correlation signature than DWT due to the availability of more detail
information.
Guocui
52
Session: W1-5
Wednesday, June 24, 10:20 - 12:00
Sensors III
Chairs: Anping Qiu, Jie Zhang
Room: Guose
10:20 - 10:40
10:40 - 11:00
The Study on Photo Mask Pre-Alignment
Approach Based on
Four-Quadrant-Photo-Detectors
Yun Liu
The Signal Interrogation Technology of MEMS
Optical Fiber Pressure Sensor
Congfei Wang, Guanglong Wang, Jianhui Chen and Yi
Dun
An analysis was made on the characteristics of voltage
signals from Four-Quadrant-Photo-Detectors (FQPDs)
used in photo mask pre-alignment. A pre-alignment
approach was proposed. The validity of the presented
pre-alignment approach was illustrated by the performance indexes of time cost in pre-alignments, and repeatiblity of photo masks.
This paper describes the MEMS optical fiber pressure
sensor signal interrogation systems. The white-light interferometry system, component test system and selfcalibrated interferometric intensity based system are
introduced. With the system the cavity of the MEMS
optical fiber pressure sensor is measured with high resolution by fringe analysis.
11:00 - 11:20
11:20 - 11:40
Bulk-Micromachined Silicon Resonant
Accelerometer
Anping Qiu, Yan Su, Xinhua Zhu and Qin Shi
Design and Realization for High Dynamic Silicon
Micromahined Gyroscope
Wei Zhang, Qingwen Yan and Fuxue Zhang
SRA consists of DETF, proof mass and micro lever
mechanism. DETF is modeled with the BernoulliEuler beams theory and simulatednatural frequencies
of DETF. Amplification factor of micro leverage is derived. SRA was fabricated by dissolved wafer process.
Under static measurements with (1g, the scale factor
of DEFT I is 14.35Hz/g, and DETF II13.95Hz/g.
This paper reports a design and realization method
for the high dynamic silicon micromachined gyroscope.
The gyroscope is used in control technology field to
measure pose of a rotating carrier with high self-rolling
velocity up to 14400/s. The roll angular velocity, the
yawing and pitching angle velocity of the rotating carrier are sensed and outputted by the gyroscope, and
the output signal of the gyroscope can be obtained by
the signal processing technology which is consisted of
hardware circuits, software arithmetic and compensation technique.
11:40 - 12:00
Modelling and Experimental Study on the
Fiber-Optic Ice Sensor
Wei Li, Jie Zhang, Lin Ye, Hong Zhang and Wenjun Yang
The model of fiber-optic ice sensor are presented on
the basis of a single fiber pair model. The characteristics of various parameters are simulated and compared.
Moreover, an experiment is carried out. It is demonstrated that the results obtained enable to predict the
performances of sensor with various parameters.
Guose
53
Session: W1-6
Wednesday, June 24, 10:20 - 12:00
Information and Signal Processing V
Chairs: Lizhen Wang, Matthew Greytak
Room: Guosheng
10:20 - 10:40
10:40 - 11:00
A Game Method for Multiple Attribute
Decision-Making without Weight Information
Lihua Zhou, Weiyi Liu, Yufeng Xu and Lizhen Wang
Specific Radar Emitter Recognition Based on
Wavelet Packet Transform and Probabilistic SVM
Lin Li, Hongbing Ji and Lei Wang
A game model for solving multiple attribute decision
making without weight information is proposed. Each
attribute is a player whose strategy is to choose a value
to endow its attribute weight, and whose utility is
matching degree between alternative order produced by
decision making and one produced by attribute magnitude.
Radar emitter recognition plays an important role in
military automated command and control system. It is
a composite task that involves radar signal interception,
modulation recognition, features extraction and classification. In this paper, specific radar emitter recognition is achieved by wavelet packet transform probabilistic SVM (PSVM).
11:00 - 11:20
11:20 - 11:40
Inversion of Eddy Current NDE Signals Using an
Artificial Neural Network Based Forward Model
and Particle Swarm Optimization Algorithm
Siquan Zhang
A Method for Spectrum Correction of Damped
Free Vibration Response Based on Complex
Analytic Band-Pass Filter
Lede Chen, Kang Ding and Zhijian Yang
An inversion algorithm for the reconstruction of natural crack shape from eddy current testing signals is
developed by using an artificial neural network based
forward model and particle swarm optimization algorithm. The reconstruction results verified the scheme
is promising in natural crack shape inversion.
This paper presents a spectrum correction method
based on complex analytic band-pass filter. This
method can improve the precision of spectrum correction of damped free vibration response,and reduce
the spectral leakage of negative frequency component
caused by FFT.
11:40 - 12:00
Economical Simulation in Particle Filtering using
Interpolation
Josh Taylor and Franz Hover
We present a method by which to replace the most
computationally expensive component of sampling the
importance density in particle filtering with an efficient approximation. The modification is implemented
within auxiliary and regularized particle filters in a numerical example based on the Kraichnan-Orszag system.
Guosheng
54
Session: W2-1
Wednesday, June 24, 13:30 - 15:10
Intelligent Control II
Chairs: Hugh Liu, Ming Xie
Room: Guoxing
13:30 - 13:50
13:50 - 14:10
Multivariable PID Neural Network Based Flight
Control for Small-Scale Unmanned Helicopter
Guangping Qi, Ping Song and Kejie Li
Symbolic Reachability Computation of a Class of
Second-Order System
Ming Xu, Liangyu Chen and Zhibin Li
One multi-model flight control system based on Multivariable PID Neural Network (MPIDNN) was designed
for small-scale unmanned helicopter in this paper. The
hardware, software and algorithm were designed. The
result of simulation indicates that the maximum error
magnitude of control system is about 1%.
Reachability is an important safety property. We
present the first known family of second-order systems
with the decidable symbolic computation problem of its
reachable state space at the best of our knowledge. We
extend the approach that reducing reachability computation into semi-algebraic system solving and analyzing
the systems carefully.
14:10 - 14:30
14:30 - 14:50
Investigating the Possibility of a Truly Cognitive
and Intellectually Autonomous Robot
Sainyam Gautam and Ming Xie
Observer-Based H-infinity Fuzzy Control Design
for Discrete-Time Stochastic T-S Fuzzy Model
with Multiplicative Noise
Wen-Jer Chang, Wen-Yuan Wu and Cheung-Chieh Ku
Investigation of of Truly Cognitive and Autonomous
Robots Abstract AI still cannot develop a truly intelligent robot. Understanding the true meaning of intelligence and development of neural networks are crucial for realising this goal but proposed models suffer
from fundamental limitations. In the paper, answers
are sought, proposals are made and a promising model,
Fractal Neural Network, is analysed.
This paper introduces an observer-based H-infinity
fuzzy control design method for discrete-time nonlinear
systems with multiplicative noise. The stability conditions are derived via Lyapunov function to analyze the
stability and H-infinity performance of system. The
standard two-step method is adopted to separately obtain the controller gain matrices and the observer gain
matrices by solving two sets of Linear Matrix Inequalities.
14:50 - 15:10
A Multi-Objective Control Approach for
Nonlinear Systems
Chen Gao, Hugh Liu and Ping Zhang
Analytical parameter multi-objective design is extended to nonlinear systems through Controlled Lyapunov Function(CLF). The potential benefits are two
fronts. One is CLF guarantees the stability. The other
is the cost functions adopted from AMPOS may lead to
better design. A nonlinear benchmark problem is then
used to demonstrate its effectiveness.
Guoxing
55
Session: W2-2
Wednesday, June 24, 13:30 - 15:10
Intelligent Systems II
Chairs: Wen Jung Li, Chi Man Vong
Room: Guoyun
13:30 - 13:50
13:50 - 14:10
Research on Work Mechanism of Intelligent
CAPP
Zhongbin Wang, Yuliu Chen and Qing Li
A Hierarchical Pedestrians Motion Planning
Model for Heterogeneous Crowds Simulation
Dan Guo, Cheng Wang and Xulei Wang
System architecture and the work mechanism of an intelligent CAPP system based on multi-agent system
were investigated, and conflict resolution mechanism
based on knowledge was represented. The conflicts
which intelligent CAPP generated were resolved by use
of rule-based reasoning and case-based reasoning, the
relevant agents were developed, investigation achievement was applied in the process of producing shearer.
The paper has proposed a hierarchical method for
heterogeneous pedestrian motion planning in complex dynamic environments. It extends the Minimum link paths (MLPs) in a constraint-based algorithm.Simultaneously, it uses a modified social force
model to capture local crowd dynamics under varying
interactive situations for heterogeneous crowds.
14:10 - 14:30
14:30 - 14:50
Development of Entertaining Robots: A Study
into Intelligent Acquisition of Human Language in
Robots
Rui Li and Ming Xie
The Similarity Measure between Interval Type-2
Fuzzy Sets based on Triangles
Zehua Lv, Hai Jin and Pingpeng Yuan
A novel method to represent IT2 FS by a series of linear functions is given, the similarity between IT2 FSs
is proposed and the validity of this method is proven.
Several numerical examples are given to show that the
similarity measure is reasonable and better than any
existing methods.
This paper proposes a new way for robots to acquire human language, improving on imperfections discovered
in ELIZA, A.L.I.C.E. and Jabberwacky. A skeletal design plan is drawn up, with rudimental illustrations using simple examples. The idea of this theoretical study
is to explore possibilities of building intelligent robots
14:50 - 15:10
Case-Based Reasoning for Automotive Engine
Electronic 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 is
described. By applying CBR, the efficiency of calibrating an automotive ECU becomes higher. Furthermore,
expert and novice automotive engineers may use this
system as an assistant when calibrating an ECU.
Guoyun
56
Session: W2-3
Wednesday, June 24, 13:30 - 15:10
Parallel Robots II
Chairs: Bing Li, Yuefa Fang
Room: Guoxiang
13:30 - 13:50
13:50 - 14:10
Development of Motion Type Reconfigurable
Modular Robot for Multi-Task Application
Hailin Huang and Bing Li
Structural Synthesis of Serial-Parallel Hybrid
Mechanisms via Group Theory and
Representation of Logical Matrix
Qiang Zeng and Yuefa Fang
This paper aims to provide the theoretical design of
a special type of modular reconfigurable robot system
with locally chain-based topology: the motion type reconfigurable robot. A novel motion type reconfigurable
robotic architecture is introduced. Using this architecture, the printed circuit board assembly can be totally
automatization.
This contribution presents different type of serialparallel hybrid mechanisms. A novel representation
and logical operation of spatial mechanisms are developed. The hybrid mechanisms can be categorized into
two types, closed-type and opened-type hybrid mechanisms. Finally, two examples of hybrid mechanisms are
illustrated based on the given logical operations.
14:10 - 14:30
14:30 - 14:50
Trajectory Control of the Cable-Based Parallel
Mechanism Based on Dynamics
Bin Zi and Zhencai Zhu
Computer Vision Based Calibration of the Purely
Translational Orthopod Manipulator
Yunjiang Lou, Tieniu Chen, Yuanqing Wu and Guanfeng
Liu
This paper is concerned with trajectory control of
cable-based parallel mechanisms (CPM). Firstly, the
dynamic formulation of CPM was established. Secondly, a decentralized control approach is proposed,
and an immune proportional-integral-derivative controller is developed for each subsystem of the CPM.
Finally, simulation results validate properties of the
proposed control strategy.
Kinematic calibration was achieved for the purely
translational Orthopod parallel mechanism via a flexible measuring system. Intrinsic parameters of the camera were first identified. Results were verified using
a simple yet practical experiment. Manipulator calibration was conducted using its inverse kinematics
model. Experiment data verifies the proposed calibration method.
14:50 - 15:10
Dynamics Modeling for a Novel 3-DOF Dual
Parallel Manipulator Considering the Flexibility
of Compliant Components
Yuan Yun and Yangmin Li
This paper is concerned with the design and modeling of a 3-DOF dual parallel robot with flexure hinges.
Based on our previous research experiences, a dynamic
modeling has been performed by using Kanes method.
The investigations may make contributions to the research on dynamic characteristics based on novel parallel manipulators.
Guoxiang
57
Session: W2-4
Wednesday, June 24, 13:30 - 15:10
Pattern Recognition III
Chairs: Feng Wan, Lizhen Wang
Room: Guocui
13:30 - 13:50
13:50 - 14:10
Comparison of Different Classification Methods
for EEG-Based Brain Computer Interfaces: A
Case Study
Boyu Wang, Chi Man Wong, Feng Wan, Peng Un Mak,
Pui In Mak and Mang I Vai
SubTree Augmented Naive Bayesian Classifier
Based on the Fuzzy Equivalence Partition of
Attribute Variables
Hongmei Chen, Lizhen Wang, Weiyi Liu and Hao Chen
SubTree Augmented Na?ve Bayesian classifier (STAN)
is proposed in this paper. It adopts the fuzzy equivalence partition approach to partition attribute variables
into several subsets and admits the structure of attribute variables to be several subtrees. Na?ve Bayesian
classifier and Tree Augmented Na?ve Bayesian classifier
can be easily simulated by STAN. Experiments demonstrate STAN is effective and efficient.
The performances of different off-line methods for two
different Electroencephalograph (EEG) signal classification tasks C motor imagery and finger movement,
are investigated in this paper. The main purpose of
this paper is to provide a fair and extensive comparison of some commonly employed classification methods
under the same conditions.
14:10 - 14:30
14:30 - 14:50
Application of Particle Swarm Optimization to
Credit Risk Assessment
Chengan Li, Jing Xu and Heyong Wang
Segmentation of fMRI Based on Graph Space
Construction
Hongyi Zhang, Jiexin Pu and Yongping Lin
In this paper, we apply particle swarm optimization
(PSO) to solve credit risk assessment problems by combining with feature subset selection and nearest neighbor classifiers. The experimental results demonstrate
that our proposed method lets to achieve better performance than the existing methods in terms of solution
quality and computational efficiency.
In this paper, based on phase space construction, the
proposed activation lags between pictures are estimated
by minimum mutual information. Then, the image as
the activation reach to stability is obtained for clustering analysis. Finally, an image segmentation algorithm
based on pulse-coupled neural network (PCNN) is presented in this paper.
14:50 - 15:10
Quality Assessment of Aluminum Alloy
Resistance Spot Welding Based on Wavelet and
Statistic Analysis
Cunhai Pan, Peng Zhao, Sumei Du and Jingkai Wang
The quality real-time monitoring of aluminium alloy resistance spot welding is realized by distributed
multiple-sensor synchronous collection system. Displacement signal time-frequency domain wavelet analysis and further Butterworth band-pass filter statistic
analysis show that the range of the electrode displacement signal of the expulsion welding spots can reach
about 0.5mm, which far exceeds the normal and undersize welding spots, at between 40 to 80Hz.
Guocui
58
Session: W2-5
Wednesday, June 24, 13:30 - 15:10
Sensors IV
Chairs: Ting Yu, Haibin Yu
Room: Guose
13:30 - 13:50
13:50 - 14:10
Modeling and Compensation for Temperature
Errors of Fiber Optic Gyroscope
Chunlei Zhou, Qi Zhang, Shuhua Yan, Lei Gao and
Guochao Wang
Investigation of Thermal Stress Influence on
CMUT in Standard CMOS Process
Xinqiang Lu, Ting Yu, Fengqi Yu and Yuchun Feng
A CMUT structure with a square micro-bridge membrane is modeled, and some finite element analysis
(FEA) is carried out using ANSYS 11.0 to study the influence of thermal stress on the performance of CMUT,
such as collapse voltage, resonant frequency, coupling
coefficient, sensitivity, and bandwidth for the worstcase design
Based on temperature experiment, the temperature
characteristic of IFOGs bias was studied. The Stepwise regression was used in analyzing the relationship
between IFOG’s bias and temperature.A new temperature compensation model was established. The experiment results shows that the compensation model was
effective and stable.
14:10 - 14:30
14:30 - 14:50
Two-Phase Unequal-Pitch Time-Grating
Displacement Sensor Based on Harmonic Wave
Correcting Method
Xianquan Wang, Min Wu and Ge Zhu
Soft-Sensor Modeling of Product Particle Size in
Ball Milling Circuits Based on Particle Swarm
Optimization Fuzzy Neural Networks
Xinggang Wu, Mingzhe Yuan and Haibin Yu
Firstly ,a new type of displacement sensor is proposed.
It greatly enhanced the number of pole-pairs and sensor
precision. Secondly, the new error correction method is
proposed. its sampling points is less than else. Finally
experiments validated that it can greatly enhance the
accuracy of the sensor.
By combining particle swarm optimization algorithm
(PSO) with fuzzy neural networks (FNN), a PSO fuzzy
neural networks (PSO-FNN) was proposed. Then PSOFNN was applied in soft-sensor modeling of product
particle size in ball milling circuits. Experiment results
show that the model based on PSO-FNN has higher
precision and better performance than the model based
on BPNN.
14:50 - 15:10
Non-Conduct Steering Sensor for Electric Power
Steering
Xiaoling Wang, Yan Zhao and Hong Wang
It is needed not only steering torsion sensor but also
steering angle sensor for EPS and ESP. Magnetoresistance (MR) steering sensor is a substitute for steering sensor which can measure steering torsion as well
as steering angle. The sensor consists of sensitive magnetic elements and signal disc.
Guose
59
Session: W2-6
Wednesday, June 24, 13:30 - 15:10
Information and Signal Processing VI
Chairs: Kang Ding, Jian Li
Room: Guosheng
13:30 - 13:50
13:50 - 14:10
Study on the IQA Method for Polarization Image
Based on Degree of Noise Pollution
Congli Li, Xiushun Yang, Wenbing Chen and Wei Lu
A New Secure Video Watermarking for Copyright
Protection
Xiaoju Li, Guo Lin and Li Liu
This paper presents a novel no-reference IQA (image
quality assessment) method based on the degree of
noise pollution from the angle of noise detectation for
polarization image. The experiment results show that
this method has the properties of no-reference, less
complex computation and consisting with the result of
subjective quality assessment.
For resisting copy attack and preventing an adversary
edits a watermark to be embedded, a secure and robust
video watermarking method for copyright protection is
proposed. The proposed algorithm is used in the proof
of ownership of video chunks.
14:10 - 14:30
14:30 - 14:50
Noise Influence on Frequency Estimation
Accuracy from Energy Centrobaric Correction
Method for Discrete Spectrum
Chunsong Zheng, Kang Ding and Zhijian Yang
Electromyogram Signal Analysis and Movement
Recognition Based on Wavelet Packet Transform
Lingling Chen, Peng Yang, Linan Zu and Xiaoyun Xu
For recognizing the movement intent of amputee,
wavelet packet transform was applied to analyze the
electromyogram signal, extract its frequency feature
and recognize movement transition. Experimental
results show that the movement transition between
standing and sitting can be recognized with a higher
identification rate.
This paper investigates noise influence on the frequency
estimation performance of Energy Centrobaric Correction Method. Some measures have been proposed to
overcome the drawbacks. Simulations results verify the
corrections of theoretical derivations and demonstrate
that the improved method has superior estimation accuracy and better anti-noise performance.
14:50 - 15:10
An Automatic Flaw Classification Method of
Ultrasonic Nondestructive Testing for Pipeline
Girth Welds
Jian Li, Xianglin Zhan and Shijiu Jin
An automatic identification of flaw type based on Lifted
Wavelet Transform (LWT) and BP neural network
(BPN) is introduced. LWT is proposed to extract flaw
feature. A feature library is constructed. A modified
BPN is followed as a classifier, whose output is the input flaw signals type.
Guosheng
60
Session: W3-1
Wednesday, June 24, 15:30 - 17:10
CAD/CAM I
Chairs: Tianbiao Yu, Jianjun Peng
Room: Guoxing
15:30 - 15:50
15:50 - 16:10
Research on Simulation of Multi-Axis Machining
Based on Three Dimensions Grid Representation
Jianjun Peng, Ruifeng Guo, Shimin Zhang, Zhixiang Shao
and Wanfu Ding
Research of Three-Dimensional Parametric Design
System based on Personalization and
Customization
Kai Zhao, Jing Zhou, Yang Zhang, Tianbiao Yu and
Wanshan Wang
This paper researches on the machining simulation of
the multi-axis numerical control system, and proposes
a new algorithm of intersection calculation and collision
detection based on Three Dimensions Grid Representation. The test has proved that the simulation system
can display the machining process with fast computation and less memory consumption.
For enduing the business enterprise capacity to respond
to customers need more accurately and quickly, this
text puts forward a technique route that would develop
a three-dimensional parametric design system which is
based on individual product customization under the
network environment, meanwhile it makes a research
on the key techniques.
16:10 - 16:30
16:30 - 16:50
A Novel Priority-Number-System-Based
Approach to Locator Configuration Formulization
for Fixture Design
Guohua Qin, Shiping Sun and Dong Lu
A Slack-Based Method to Clamping Force
Optimization for Fixture Design
Guohua Qin, Dong Lu and Shiping Sun
This paper presents a mechanistic model for optimally
determining the clamping forces. The model solution
is proposed as a constrained quadratic optimization by
applying the minimum norm principle. In order to efficiently compute the clamping forces, the constrained
quadratic optimization is feasibly slacked into the constrained linear programming problem.
This paper deep investigates the fixture locator configuration and its corresponding dimensions. Thus, a
priority-number-system-based method is proposed to
formulate the function relationship among all dimensions. This research work can supply the theoretical
basis to realize automated fixture design (AFD).
Guoxing
61
Session: W3-2
Wednesday, June 24, 15:30 - 17:10
Intelligent Systems III
Chairs: Pak Kin Wong, Xiaojun Wu
Room: Guoyun
15:30 - 15:50
15:50 - 16:10
Multi-Agent Based Early-Warning for Monitoring
of Major Hazard Installations
Jianfeng Zhou and Guohua Chen
A Hybrid Particle Swarm Optimization Algorithm
and its Application in Hydrogen Management
Jinsong Zhang and Zhaoxia Wang
The multi-agent group (MAG) model for monitoring and control of hazard installations is proposed.
The Feature Extraction Agent (FEA) and the Earlywarning Analysis Agent (EAA) perform the early warning function of hazard installation monitoring. The
structures, main functions and working processes of the
FEA and the EAA are analyzed.
The hybrid PSO algorithm overcomes the basic PSO
algorithm’s disadvantage of easily getting into the local
extremum in the later evolution period and keeps the
rapidity in the previous period. It was used to resolve
the static scheduling model of hydrogen balance in a
refinery and good effect was got.
16:10 - 16:30
16:30 - 16:50
Improved RSSI Based Localization Algorithm for
Park Lighting Control and Child Location
Tracking System
Jia Chen, Xiaojun Wu, Feng Ye, Ping Song and Jianwei
Liu
Computer-Supported Software Development with
BPsim Products Family-Integration of Multiple
Approaches
Konstantin Aksyonov, Irina Spitsina, Eugene Bykov,
Elena Smoliy and Olga Aksyonova
Base on ZigBee, park lighting control and child location tracking system is researched in this paper, where
an improved RSSI-based distributed localization algorithm is introduced. As a goal of our system, the
new method, unlike commercial digital-hardware-block
based strategy used in CC2431, can be implemented by
using ordinary 8-bit MCU.
Paper focuses on actual problem of development of
methods and tools for processes simulation and software engineering, that automate whole development
process. Most of current tools lack structural and
object-oriented approaches integration and design process intelligence. Keeping this in mind a multi-agent
resource conversion processes based CASE tool was engineered.
16:50 - 17:10
Incremental Modelling of Automotive Engine
Performance using LS-SVM
Chi-Man Vong, Pak-Kin Wong and Rui Zhang
Modern automotive engines are controlled by electronic
control unit (ECU). The engine performance referred to
as output torque is significantly affected by the setup of
control parameters in the ECU. Traditional ECU tuneup is done by trial-and-error method through repeated
dynamometer tests. In the paper, online LS-SVM is
presented and used for estimating the engine torque
functions so that the number of dynamometer tests can
be significantly reduced.
Guoyun
62
Session: W3-3
Wednesday, June 24, 15:30 - 17:10
Bio-Robots
Chairs: James Mills, S. Q. Xie
Room: Guoxiang
15:30 - 15:50
15:50 - 16:10
Development of a Multifingered Robotic Hand
L. Q. Tan, S. Q. Xie, I. C. Lin and T. Lin
Research on Biologically Inspired Hexapod
Robot’s Gait and Path Planning
Qingsheng Luo, Hui Zhang, Baoling Han and Xiaochuan
Zhao
A multi-fingered robotic hand is developed using hydraulic actuation with fluidic actuators. A miniaturised
hydraulic system is designed with all components intrinsically placed inside the palm. The hand is designed to be under-actuated with only five degrees of
controlled motion. the hand can be operated under
either automatic or manual mode.
We mainly adopt Solidworks as well as MSC.ADAMS
to simulate and analyze the prototype model of the
robot. By the simulations on our design, the applicability of the tripod gait is validated, and the scheme
which uses cubic spline curve as the endpoint of foots
path is feasible
16:10 - 16:30
16:30 - 16:50
Research and Development of PMA in Music
Robot
Anmin Xi, Peng He and Xu Wang
A Novel Clustering Method for Chernoff Faces
Based on V-System
Ruixia Song, Zhaoxia Zhao and Meifang Ou
This paper presents the application of the pneumatic artificial muscle (PMA) in Hulusi musical
robot.Through the establishment of PMAs static and
dynamic test model to study and analyze the characteristics. Therefore we can grasp its working characteristics and make contributions to future applications in
robots finger-driven.
The Chernoff face is a classical method in Multivariate Statistics. Based on the V-system, a class of complete orthogonal function, a new programmed clustering method for Chernoff faces is proposed. This selfadaptive clustering technique can avoid misjudgment
caused by human eyes. When the number of samples
is larger, its advantage is more obviou
16:50 - 17:10
Robotic Manipulation of Adhesive Droplets for
Applications in Microassembly
Lidai Wang, James Mills and William Cleghorn
We present a novel approach to manipulate micron size
adhesive droplets for the use in robotic microassembly.
A micro-probe is developed to pick and place micro
adhesive droplets. Surface energy is utilized to control the size of manipulated adhesive droplet. Experiments were conducted to assemble three-dimensional
high-aspect-ratio micro-mirrors.
Guoxiang
63
Session: W3-4
Wednesday, June 24, 15:30 - 17:10
Mechanisms
Chairs: G. B. Zhang, Wu Xin
Room: Guocui
15:30 - 15:50
15:50 - 16:10
Kinematics Analysis and Simulation of a New
Parallel Mechanism with Two Translational and
One Rotational Outputs
Xin Wu, Meili Chen and Yanbin Zhang
Bolt and Screw Assemblage through Collaborative
Kinematics Operation of Two Modular Robots
Based on the Position Feedback
Liying Su, Lei Shi and Yueqing Yu
Based on the single-opened-chain unit theory, a new
parallel mechanism with two translational and one rotational degrees of freedom is put forward. The kinematics of the mechanism is analyzed, the simulation
of the virtual prototype indicate that kinematic output
characteristic and position inverse solutions derived are
correct. The singularity of the mechanism is analyzed.
A cooperative robot system is set up with two modular
robots and a dynamic optical meter-OptoTrak. With
OptoTrak, the position of the end actuators is measured as the optical position feedback. A tri-layered
motion controller is designed. With the kinematics constraints of the two robots they can cooperate well.
16:10 - 16:30
16:30 - 16:50
Research and Implementation of Quality Control
System of Product Design
G. B. Zhang, G. Q. Wang, H. F. Zeng and X. L. Ren
Complete Solution of the Five-Points Path
Synthesis for Planar Four-Bar Linkages
Xiguang Huang, Guangping He, Qizheng Liao and Shimin
Wei
SOA technology is used in research of Quality Control
of Product Design. An architecture for SOA based application supportive platform is proposed. How to organize design quality information with design quality
BOM is discussed in detail. The development and application of the system demonstrated that the solution
is feasible.
The problem of synthesizing a planar four-bar linkages
whose curve passes through five prescribed precision
points based on elimination methods has been a difficult problem in kinematics because it is of high polynomial degree and highly nonlinear. A new elimination
method to solve the problem is presented. Based on
the presented method, a 36th degree univariate polynomial of the problem is derived from the determinant
of a Sylvesters matrix, which is relatively small in size,
without factoring out or deriving the greatest common
divisor. Conclusion shows that there are generically 36
non-degenerate solutions of the problem. To verify the
obtained conclusion, the completely same result can be
obtained using continuation method.
Guocui
64
Session: W3-5
Wednesday, June 24, 15:30 - 17:10
Human Robot Interaction
Chairs: Dikai Liu, Hongyi Li
Room: Guose
15:30 - 15:50
15:50 - 16:10
Research on Autonomous Interaction of Virtual
Avatar During its Master’s Operation Silence
Period
Zhixiao Yang and Zhengying Yang
An Optimized Distributed Real-Time Simulation
Framework for High Fidelity Flight Simulator
Research
Shupeng Zheng, Jingfeng He, Jun Jin and Junwei Han
An adaptive time window based algorithm is proposed
to decide if a user falls into operation silence or not
in a remote interaction. Operation silence is explained
as that the user loses interest to interaction topic. It
results to sleepy. Sleepy state is expressed by avatar in
virtual environment.
In this paper, an optimized distributed real-time simulation framework for flight simulator is presented. It
successfully uses the mediator and data bus design pattern. The mediator design pattern provides object decoupling and minimizes component interdependencies.
Meanwhile, the data bus design pattern decreases the
communication latency. This results in more maintainable and extensible software.
16:10 - 16:30
16:30 - 16:50
Information Transformation-Based Tele-Robotic
Systems
Jianning Hua, Wei Ding, Hongyi Li, Yuechao Wang and
Ning Xi
A High Performance CMOS Vibration Sensor
with Extended Floating Gate
Benxian Peng, Ting Yu, Fengqi Yu and Yuchun Feng
A novel CMOS vibration sensor with extended floating
gate is developed to realize high sensitivity, linearity,
and manufacturability. A method to enhance linearity in large displacement range by varying capacitance
coupling ratio is proposed. The sensor can achieve a
resolution of 0.05g, and ultra low power of 824.3 uW .
Relative posture between end-effector and the object
to be grasped is what we concern about in telerobotic
systems. Since visual information results in low performance, a method based on information transformation
is presented to cope with this problem and guide the
continuous completion of grasping task.
16:50 - 17:10
Workspace Mapping and Force Control for Small
Haptic Device Based Robot Teleoperation
Pholchai Chotiprayanakul and Dikai Liu
This paper presents a small haptic workspace spanning
control method for large tele-environment. A force field
method is also presented to manipulate the robot arms
motion in complex 3D environments. Experimental results achieve accurate positioning and provide the operator with efficient touch sensing.
Guose
65
Session: W3-6
Wednesday, June 24, 15:30 - 17:10
CAD/CAM II
Chairs: Bing Li, Xin Wang
Room: Guosheng
15:30 - 15:50
15:50 - 16:10
The Research of Shipbuilding Schedule Based on
Genetic Algorithm
Duanyang Zhao, Jiaquan Gao and Qingxiang Xu
A Multi-Agent Model for the Order Driven Agile
Manufacturing Systems and Order Form Selection
Algorithm
Fuqing Zhao, Qiuyu Zhang and Yahong Yang
The overall arrangement in shipbuilding project is a
strategic and optimal scheme with the shortest days
and the best economic benefits for construction. A multiobjective model and a new genetic algorithm based on
vector group encoding are proposed. Numerical results
show the algorithm is better than the common genetic
algorithm.
A multi-agent model for the order driven agile manufacturing systems and order form selection algorithm
are provided. Shop floor activity and its corresponding
control flow are given. Particle Swarm Optimization
(PSO) algorithm for the order driven system is used to
intelligently select the suitable order for the system.
16:10 - 16:30
16:30 - 16:50
The Application of Aspectual Feature Module in
Hardware Description Language - A Perspective
Jun Ye, Tun Li and Qingpin Tan
Velocity Control of Transfer Points in
Non-Smoothing Segment Trajectory for CNC
Machining
Xin Wang, W. B. Zhang and X. C. Ye
Aspectual Feature Module (AFM) is a newly proposed
methodology for the development of software product
lines. Considering the similar problems of product line
development in hardware (e.g. how to exploit the similarity between products in product line), this paper
suggests the application of AFM in Hardware Description Languages (HDL).
In this paper a simple and practical method of velocity
control is put forward. Based on linear velocity acceleration and deceleration, the non-smoothing transfer point is predicted. Optimized transition velocity is
given by considering velocity limitation conditions and
kinematic theory. Smooth transfer and continuous trajectory interpolation are realized.
16:50 - 17:10
A B-Spline Surface Interpolator for Precision
Machining of Free-Form Surfaces
Yue Du, Bing Li, Weiyang Lin and Xiaojun Yang
This paper presents a B-Spline surface interpolator for
generating tool paths for free-form surfaces. To address
problem of degradation in machining precision associated with non-constant scallop heights generated when
using iso-parametric machining method, an on-line or
off-line CC path scheduling algorithm is developed to
ensure desired machining precision.
Guosheng
66
Thursday
June 25, 2009
ICIA 2009
67
Workshops on Robotics
Automated Robot-based Nanohandling
Sergej Fatikow
Division 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” stated
Richard P. Feynman at the beginning of his visionary talk “There’s Plenty of Room at the Bottom”, given
on December 29th 1959 at the annual meeting of the American Physical Society at the California Institute
of 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 very
difficult one because of a lack of understanding of the underlying phenomena of the nanoworld and because
of a lack of suitable nanohandling methods.
The talk by Prof. Sergej Fatikow addresses the latter issue. The handling of micro- and nano-scale objects with an accuracy in the nanometer range is an important current trend in robotics. It is often referred
to 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. Additionally, many other technologies requiring tool/probe positioning with an accuracy in the nanometer range
are also regarded as nanohandling, e.g. material nanocharacterization methods like indentation or scratching; mechanical or electrical measurements on nanoscale objects; nanostructuring of surfaces by deposition
or removal of materials, and others. Automated nanohandling is one of the key challenges of microsystem
technology and nanotechnology. It will enable high-throughput manufacturing of novel products and open
up new application fields. Current research activities in AMiR include, amongst others, the development
of new nanohandling robots; the investigation of novel automated nanohandling strategies; the development
of advanced control methods; as well as the investigation of suitable real-time sensing technologies on the
nanoscale.
In his talk, Prof. Fatikow introduces main approaches for handling objects on the nanoscale. He especially
addresses his current work of an automated robot-based nanohandling station inside a scanning electron microscope (SEM). The latter serves as a powerful vision sensor and a work space for nanohandling robots
integrated into the vacuum chamber and equipped with application-specific tools. Different research aspects
of this work regarding the implementation of the main system components C the piezo-driven nanohandling
robots, 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 automated nanoassembly of AFM supertips inside SEM, handling and characterization of carbon nanotubes
(CNT), electron beam induced deposition (EBiD) as a bonding and nanostructuring technology, automation
issues in AFM-based nanohandling, characterization of biological objects by AFM/nanorobots, and others.
A Synchronization Approach to Formation Control of Multiple Mobile Robots
Dong Sun
Department 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 while
maintaining time-varying formations. The main idea is to control each robot to track its desired trajectory
while synchronizing its motion with those of other robots to keep relative kinematics relationship as required
by the formation. First, we pose the formation control problem as a synchronization control problem, and
identify the synchronization control goal according to the formation requirement. The formation error is
measured 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 and
synchronization errors to approach zero asymptotically. The rotary controller is also designed to ensure
the robot to be always oriented towards its desired position. Both translational and rotary controls are
68
supported by a centralized high level planer for task monitoring and robot global localization. Finally, we
perform simulations and experiments to demonstrate the effectiveness of the proposed synchronization control approach in the formation control tasks.
A Novel Type of Microrobots for Biomedical Applications
Shuxiang Guo
Intelligent 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 have
been developed. However, the power supply with cable and the friction power with the inner wall were the
problem of research conventionally in this research. We have reported a novel prototype model of microrobot utilizing electromagnetic actuator as the servo actuator to realize moving motion. We propose an
improved novel prototype model of microrobot, the running experiments have been carried out, and the
operating characteristic was evaluated both in horizontal direction and in vertical direction. It shows that
the proposed microrobot can correspond to the dirt adhering to the inner wall, or long distance movement
even if in vertical direction by the experiment results, and moving speed control can be easily performed by
frequency adjustment of the alternate magnetic field. It will play an important part in industrial application
and microsurgery.
From Biological Systems to Intelligent Robots
Huosheng Hu
University of Essex, UK
After recent advancement of computing and robotics technologies, intelligent robots are soon ready to
serve us in our home, hospital, office and everywhere. They are mobile, autonomous and interactive, inspired
from behavior demonstration of biological systems. A number of new application areas have currently
received significant interests in the robotics community, including service robots, medical robots, education
robots and entertainment robots, etc. However, these robots face a number of challenges. Firstly, they
have to deal with uncertainty within the systems, such as sensor noise, actuator inaccuracy, and components
failure. Secondly, they have to handle a huge uncertainty in the real world, which is dynamically changing
over time. To catch up these changes in real time is very difficult since no sensor is able to work in all
the situation and circumstances. Thirdly, inspiration from biological systems is an important issue to be
addressed 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 around
humans.
In this talk, I will briefly overview the current state of art robotics technologies, and present our current
research work toward the development of advanced theory and technologies for intelligent robots, based on
inspiration from biological systems. More specifically, bio-mimetic system modeling, head gesture based
control of a wheelchair, and human motion tracking are discussed respectively, and some preliminary results
are demonstrated.
Research & Development of Parallel Kinematics Machine
in Harbin Institute of Technology
Bin Li
Harbin Institute of Technology, China
Parallel robot which was well established as handling and positioning devices, have recently attracted
attention as machine tools because of their potential merits in high motion dynamics and accuracy combined
69
with high structural rigidity due to their closed kinematic loops. The world first prototypes of Parallel
Kinematics Machine(PKM) have been introduced to public at the IMTS show 1994 Chicago. The machines
were intended for complex 5-axis milling operations and were realized as Stewart platform. Within the
following years, many new prototypes for milling and other processes have been developed in industry and
research institutes, however, most of the existing work intended to study the fundamentals of this new
technology 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 hard
working the BJ-series PKM could reach the same accuracy level as the traditional milling machine, the
key involved techniques such as servo-control, calibration, CAM interface, etc. have been developed. The
Parallel Machining Center (PMC) which is tailored for turbine blade machining has been developed and
successfully used in industry in 2005, the cost of the PMC is only one third of the imported Swiss-made
Starlarg machine tool but could achieve same machining accuracy.
In HIT Shenzhen campus the work on research and development on PKM are still continued, a novel
Hybrid Platform-based PKM was patented and developed in 2007, which include a 4-DOF parallel mechanism 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 on
parallel robot is also introduced in the talk.
Advances in High Performance Robotic Machine Tools
Dan Zhang
Faculty 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 performed more and more actively in every industrial field. High performance robotic machine tools development
is 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 robotic
machines are introduced. Then the examples of serial/parallel robots and serial/parallel machines are illustrated, and their comparisons are conducted. The rational of using parallel robots for machine tools is
analysed. A comparative study is carried out on some successful robotic machine tools and conventional
machine tools including Tricept, Delta robot etc. Finally, the conceptual design and synthesis of high performance robotic machine is introduced.
Motion Trajectory Description and Recognition
Youfu Li
Department 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 and
behaviors. However, effective descriptors are currently lacking that can fully depict spatial trajectories in
3D. 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 approximate
signature, the noise-sensitive high order derivatives are avoided. The trajectory can then be recognized
based on the customized signatures similarity metric. Experiments are conducted to verify the signature’s
effectiveness and robustness in 3-D trajectory description and recognition.
70
Workshops on Mechatronics
Distributed Multipole Modeling Method for Design and
Control of Multi-DOF Electromagnetic Actuators
Kok-Meng Lee
Georgia Institute of Technology, USA
Design and control of multi degrees of freedom (DOF) electromagnetic actuators require a good understanding of the magnetic fields, and involve real-time calculation of magnetic forces. This talk discusses
a 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. The
method, referred here as distributed multi-pole (DMP) model, inherits many advantages of the dipole model
originally conceptualized in the context of physics, but provides an effective means to account for the shape
and magnetization of the physical magnet. The DMP models have been validated by comparing the calculated fields and magnetic forces against numerical and experimental results. The comparisons show excellent
agreement. We also illustrate the application of the DMP model in developing an accurate torque model
to faithfully simulate the transient response of a spherical motor, and as a basis for deriving a closed-form
inverse torque model for its real-time motion control.
Dynamic Visual Servoing of Robotic Systems
Yun Hui Liu
Department of Engineering
The Chnese University of Hong Kong, China
Dynamic visual servoing is a problem of designing visual servo controllers for robotic systems while
considering its nonlinear dynamics. Most existing visual servoing methods do not consider the nonlinear
dynamics. This talk will introduce our recent efforts on dynamic visual servoing of robotic systems for both
calibrated and uncalibrated cameras. In particular, we will introduce the concept of depth-independent
interaction matrix to map the image errors onto the actuator space of the robotic systems. The conditions
will be derived under which the depth-independent interaction matrix can be linearly parameterized by the
unknown camera and geometric parameters so that an adaptive algorithm can be developed for on-line estimation of the unknown parameters. The asymptotic stability of the system will be proved by the Lyapunov
theory and the experiments will be demonstrated.
Energy Harvesting from Vibration for Wireless Sensor Networks
Wei-Hsin Liao
The Chinese University of Hong Kong, China
Wireless sensor networks (WSNs) have drawn significant attention in monitoring plants, resources, and
infrastructures. Traditional electrochemical batteries are usually used in powering the WSNs. But replacing
batteries, due to their limited lifetime, is very inconvenient. The labor and cost associated with changing 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 for
battery replacement. Without replacing batteries, the WSNs will stop working as soon as the power runs
out. Therefore, it is desired that the WSNs can acquire energy from the ambient environment to have a
perpetual power supply. Considering the needs, to harvest the power from the vibration environment would
be a convenient means to supply the power for the sensor network. While there are several options for
harvesting 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 materials
were investigated. Piezoelectric power generators are used to transfer the mechanical energy from vibration
71
into electrical energy. Power generators were designed with piezoelectric materials, integrated with efficient
energy harvesting circuits and energy storage devices. Power generating abilities were evaluated. Experimental 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 such
as wireless sensor networks. The application of piezoelectric materials to the development of self-powered
technique would be advantageous as batteries could be replaced to supply power for mobile and wireless
microsystems. Without using batteries, the self-powered systems will be more environmentally friendly by
utilizing 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 mechanism equipped with one actuator can perform two working modes, a normal working mode and an assistant
enhanced mode. Robot under the normal working mode is used for moving in pipe or monitoring the inner
surface of the pipe. On the other hand, robot under the assistant enhanced mode will produce a larger torque
to help itself surmount an obstacle in the pipe without any other driving actuator. This special feature is
achieved by applying a power transmission mechanism.
Development of Flapping and Underwater Robots using Piezoelectric Fiber
Composite
Aiguo Ming
Piezoelectric fiber composite is a new flexible smart material with large displacement. Compared with
conventional artificial muscles, the piezoelectric fiber composite can be used for composing powerful flapping and underwater robots with a very simple and compact structure. The development of flapping and
underwater robots is given in the talk. By pasting the thin and flexible composite on to a structure, flapping
and meandering motions observed in creatures such as birds and fishes can be realized. The mechanism
design, control method and experimental results of the robots using piezoelectric fiber composite based on
the principle of creatures are introduced.
72
Author Index
A
Chen, Youping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Chen, Yuan
...................................9
Chen, Yuliu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Chen, Yunjie
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Chen, Yuping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Chen, Zhenyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Cheng, Danny
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Cheng, Hongli
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Cheng, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Cheng, Yi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .38
Cheng, Yongmei
.............................. 3
Chiou, Juing-Shian
. . . . . . . . . . . . . . . . . . . . . . . . . . 29
Chotiprayanakul, Pholchai
. . . . . . . . . . . . . . . . . . . 65
Cleghorn, William
. . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Cong, Peitian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Cui, Rongxin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Cui, Yongzhi
..................................7
Agapitos, Alexandros
. . . . . . . . . . . . . . . . . . . . . . . . 22
Aksyonov, Konstantin
. . . . . . . . . . . . . . . . . . . . . . . .62
Aksyonova, Olga
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Aruga, Tomohisa
. . . . . . . . . . . . . . . . . . . . . . . . . . . . .38
B
Bai, Yicheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Bi, Sheng
..................................... 5
Bi, Shusheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Bi, Zhuming
.................................. 9
Bian, Xinqian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Boesch, Ruedi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Bykov, Eugene
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
C
Cai, Yanfei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .22
Cameron, Craig
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Cao, Didi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Cao, Hongyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .37
Cao, Jun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Cao, Yi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Chang, Wen-Jer
. . . . . . . . . . . . . . . . . . . . . . . . . . 49, 55
Chao, Yuyan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Chen, Bo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Chen, Dan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Chen, Guohua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Chen, Hao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Chen, Hong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Chen, Hongmei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Chen, Huan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Chen, Jia
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Chen, Jianhui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 40, 53
Chen, Jiankui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Chen, Jingdong
............................... 9
Chen, Lede
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
Chen, Liangyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Chen, Lihua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Chen, Lingling
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Chen, Meili
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Chen, Min-Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .49
Chen, Muhua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Chen, Shulin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Chen, Tieniu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .57
Chen, Weifeng
................................ 6
Chen, Wenbing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Chen, Xi
......................................9
Chen, Xiaoquan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Chen, Xuechao
................................5
Chen, Xuedong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Chen, Yali
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Chen, Yaowu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9
D
Dahmen, Christian
. . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Dai, Shuguang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Dai, Wenzhan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Dai, Xianzhong
............................... 8
Dai, Xiaoling
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
de Melo, Leonimer Flavio
. . . . . . . . . . . . . . . . . . . . 37
Di, Haiting
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Dillmann, Rudiger
. . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Ding, Kang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54, 60
Ding, Wanfu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Ding, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Ding, Xuanhao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .52
Ding, Yuhan
.................................. 8
Dissanayake, Gamini
. . . . . . . . . . . . . . . . . . . . . . . . . 21
Dong, Xinmin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 12, 30
Dong, Zaili
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7
Dorrah, Hassen
............................... 4
Du, Jiguang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Du, Qungui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Du, Shaohua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Du, Sumei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Du, Xiaozhi
...................................6
Du, Yue
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Duan, Niejing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Duarte, Isabel
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
Dun, Yi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
E
F
73
Fan, Yichen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Fang, Chun-Hsiung
........................... 4
Fang, Huajing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Fang, Laihua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .41
Fang, Yuefa
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Fatikow, Sergej
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Fei, Zhigen
....................................9
Feng, Ding
....................................9
Feng, Fang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Feng, Yuchun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 59, 65
Feng, Zhilin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Ferreira, Paulo
. . . . . . . . . . . . . . . . . . . . . . . . . . . 34, 52
Filaretov, Vladimir
. . . . . . . . . . . . . . . . . . . . . . . . . . 41
Foissotte, Torea
...............................5
Fu, Jinlin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Fu, Yili
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Fu, Yingying
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Haemmerle, Enrico
. . . . . . . . . . . . . . . . . . . . . . . . . . .23
Han, Baoling
. . . . . . . . . . . . . . . . . . . . . . . . . 34, 45, 63
Han, Guangping
.............................. 7
Han, Jian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Han, Jianda
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .31
Han, Junwei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Han, Rongcang
............................... 8
Han, Songchen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Hao, Minghui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Hao, Shuanghui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Hao, Yingming
................................9
He, Bin
....................................... 7
He, Bo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
He, Guangping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
He, Jingfeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
He, Kejing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
He, Lifeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
He, Peng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
He, Qing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
He, Renjie
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
He, Shijun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
He, Wenqiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
He, Yong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8
He, Yuqing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Hoai, Nghia Duong
. . . . . . . . . . . . . . . . . . . . . . . . . . 20
Hong, Jing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Hong, Li
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Hong, Shiliang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Hou, Bing-Kuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Hou, Chunping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Hou, Di
.......................................6
Hou, Ligang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Hover, Franz
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3, 54
Hsiao, Fu-Sheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Hu, Chao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11, 21
Hu, Hongjie
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Hu, Hongsheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Hu, Huosheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 22, 43
Hu, Jun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .35
Hu, Jwu-Sheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Hu, Jwusheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Hu, Yi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Hu, Ying
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15
Hua, Guoran
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Hua, Jianning
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Huang, Chaobin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9
Huang, Chong-Yu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Huang, Donghai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Huang, Gengbao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Huang, Hailin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Huang, He
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Huang, Jian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6
Huang, Jin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Huang, Luyue
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .31
Huang, Qiang
.................................5
Huang, Shaoping
..............................9
G
Gabr, Walaa
..................................4
Gai, Yuxian
...................................9
Gao, Bo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Gao, Chen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Gao, Jiaquan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3, 66
Gao, Junyao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9, 43
Gao, Lei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Gao, Meijuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
Gao, Qingji
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Gao, Xiaoying
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Gao, Xueshan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43
Gao, Yahui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Gao, Yan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Gao, Zhen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Gao, Zheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Gautam, Sainyam
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Ge, Peinan
....................................5
Ge, Yu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Ge, Yunjian
. . . . . . . . . . . . . . . . . . . . . . . 11, 25, 34, 45
Gibson, R.
....................................9
Ginzler, Christian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Gong, Na
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Gong, Zhiguo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Greytak, Matthew
............................ 3
Guan, Yisheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Gui, Weihua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Gunawan, Hariyanto
. . . . . . . . . . . . . . . . . . . . . . . . . 32
Guo, Dan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Guo, Junjie
................................... 9
Guo, Ruifeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Guo, Sen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11, 33
Guo, Shuxiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Guo, Xin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
H
74
Huang, Shiqi
..................................7
Huang, Shoudong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Huang, Weida
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8
Huang, Xiaodong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Huang, Xiguang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Huang, Xin-Yuan
............................. 4
Huang, Yan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Huang, Yi-Cheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Hui, Weihua
.................................. 7
Huo, Yingyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Le, Fuliang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5
Lebedev, Alexander
. . . . . . . . . . . . . . . . . . . . . . . . . . 41
Lee, Hyoung Ho
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .29
Lee, Hyung Ho
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Lee, June Won
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Lee, Mingtang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Lei, Jianhe
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Li, Baopu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Li, Beizhi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 32
Li, Bin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21, 36
Li, Bing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 57, 66
Li, Changyou
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Li, Cheng
.....................................8
Li, Chengan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Li, Chun
......................................7
Li, Congli
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Li, Dedi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .49
Li, Deqiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Li, Dongmei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Li, Hang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Li, Hongjun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Li, Hongxing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Li, Hongyi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37, 65
Li, Howard
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51
Li, Jian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Li, Jiangang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Li, Jincheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Li, Jinyun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Li, Junfeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Li, Ke
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Li, Kejie
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5, 55
Li, Li
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Li, Lifu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Li, Lin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
Li, Manhua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4, 16
Li, Qi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Li, Qing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Li, Rui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .56
Li, Shaofa
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15
Li, Shouyong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9
Li, Shouzhong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Li, Teng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Li, Tun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Li, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Li, Wenfang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .30
Li, Wenlong
...................................3
Li, Xiaoju
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Li, Xiujuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Li, Xiyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34, 45
Li, Xun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Li, Y. F.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Li, Yanan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Li, Yangmin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21, 57
Li, Yi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Li, Yong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Li, Yuanyuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
I
J
Jahanian, Ali
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Jesus, Bruno
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
Ji, Hongbing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
Ji, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42, 44
Ji, Zhe
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Jia, Qingxuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Jiang, Liqun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Jiang, Xuezheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Jiao, Weidong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .38
Jie, Shen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Jin, Hai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Jin, Jun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Jin, Shijiu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Jin, Xuebo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Jin, Y.
........................................9
Jing, Qiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Jing, Rong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Junior, Jose Fernando Mangili
. . . . . . . . . . . . . . . 37
K
Kabir, S. M. Lutful
. . . . . . . . . . . . . . . . . . . . . . . . . . 42
Kanchi, Saroja
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Kang, Jiayu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .17
Kau, Shih-Wei
................................ 4
Khalighi, Sirvan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Khan, Tareq Hasan
. . . . . . . . . . . . . . . . . . . . . . . . . . 42
Kheddar, Abderrahmane
......................5
Kim, Joon Ki
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 14, 30
Kim, Jun Ki
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Kong, Lingfu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Ku, Cheung-Chieh
. . . . . . . . . . . . . . . . . . . . . . . 49, 55
Kuang, Yongcong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Kurakane, Norio
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
L
Lam, Loi-Tun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Lang, Xianpeng
...............................9
Latif, Hemin Omer
. . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Lau, Daniel
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Lau, Haye
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
75
Li, Zexiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9
Li, Zhibin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13, 55
Lian, Zhenyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Liang, Bin
.................................... 8
Liang, Huawei
................................ 6
Liang, Junrui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Liang, Mingjie
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Liang, Peng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Liang, Qiaokang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Liang, Yan
....................................3
Liang, Yingju
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Liang, Yongsen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Liang, Zhenjun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6
Liao, Kaijun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Liao, Qizheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Liao, Wei-Hsin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Lin, Chien-Chou
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Lin, Guo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Lin, I. C.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Lin, T.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Lin, Weiyang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Lin, Yongping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .58
Lin, Yuesong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Lin, Zijing
.................................... 6
Liu, Chunxiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Liu, Dahui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Liu, Dikai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21, 65
Liu, Fang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Liu, Guanfeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Liu, Hongbin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Liu, Houde
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8
Liu, Hugh
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .55
Liu, Huiying
.................................. 9
Liu, Jian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Liu, Jianwei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .62
Liu, Jin
.......................................9
Liu, Jinxing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Liu, Li
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21, 60
Liu, Limei
.................................... 5
Liu, Nengfeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
Liu, Ning
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Liu, Qifeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5
Liu, Shirong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Liu, Shuang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Liu, Sining
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Liu, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11, 33
Liu, Weiyi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54, 58
Liu, Xiaoming
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Liu, Yixing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7, 44
Liu, Yong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Liu, Yun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Liu, Yunhui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Liu, Zhiqiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
Liu, Zhiyong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Liu, Zhiyuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Liu, Zhuangzhi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Liu, Zhun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Lotfi, Ahmad
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Lou, Yunjiang
. . . . . . . . . . . . . . . . . . . . . . . . 13, 32, 57
Lu, Chi-Chiuan
............................... 4
Lu, Dong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Lu, Huacai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4, 16
Lu, Huimin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Lu, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Lu, Xin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Lu, Xinqiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .59
Lucas, Simon
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Luo, Lei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Luo, Qingsheng
. . . . . . . . . . . . . . . . . . . . . . . 34, 45, 63
Luo, Ronghua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .43
Luo, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Luo, Xin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Lv, XiaoLong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Lv, Zehua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .56
M
Ma, Chunmiao
................................8
Ma, Hongxu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Ma, Long
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Ma, Qianli
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Ma, Shugen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Ma, Xiaoyan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46, 52
Maabi, Somayyeh
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Mak, Peng Un
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Mak, Pui In
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .58
McTotal, P.
...................................9
Mei, Jiangpin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Meng, Dezhi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Meng, Hao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Meng, Lei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Meng, Max Q.-H.
. . . . . . . . . . . . . . .6, 11, 21, 23, 29
Meng, Yan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Mi, Linan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Mills, James
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Min, Huaqing
. . . . . . . . . . . . . . . . . . . . . . . . . . 5, 37, 43
Ming, Aiguo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Minor, Mark
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
N
Na, Wenbo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .12
Ngok, Patrick
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Ni, Yunfeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Nie, Jie
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
Nie, Qi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Niu, Dongxiao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Nong, Wenshang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
O
Ou, Meifang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
P
76
Pagac, Daniel
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Pan, Cunhai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Pan, Haipeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Pan, Jian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Pan, Quan
....................................3
Pan, Yinzi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Park, Hong Bae
. . . . . . . . . . . . . . . . . . . . . . 14, 29, 30
Park, Seong-Bae
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Park, Seung Taek
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Peng, Benxian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Peng, Chao
................................... 6
Peng, Hong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Peng, Hui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Peng, Jianjun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Peng, Xiaohong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Peng, Yan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Pratley, Tim
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Pu, Jiexin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Pun, Chi-Man
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 24, 46
Sherkat, Nasser
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Shi, Guanglin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Shi, Haiqing
.................................. 7
Shi, Hongxin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Shi, Jun
...................................... 9
Shi, Lei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Shi, Qin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Shi, Xianjiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Shi, Xiaohong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Shi, Yonghua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Shi, Zhelin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Shi, Zhongzhi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Shiu, Sheng-Yu
............................... 4
Smoliy, Elena
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Song, Haige
...................................8
Song, Lianmei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Song, Peng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .33
Song, Ping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55, 62
Song, Quanjun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Song, Ruixia
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Song, Zhangjun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Spitsina, Irina
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Sriram, Sivaraman
. . . . . . . . . . . . . . . . . . . . . . . . . . . 50
Stasse, Olivier
................................ 5
Strand, Marcus
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Su, Chun-Yi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Su, Liying
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Su, Yan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Su, Yi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Sun, Dong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Sun, Hanxu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Sun, Minglei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19, 40
Sun, Ruying
.................................. 8
Sun, Shanlin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Sun, Shiping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Sun, Yafei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8
Sun, Yanli
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Sun, Ye
.......................................6
Sun, Zhaojun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
Q
Qi, Dongxu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Qi, Guangping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Qi, Lin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Qi, Yong
......................................6
Qian, Huanyan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .14
Qian, Suxiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .42
Qiao, Guohui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19, 40
Qiao, Yukun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Qin, Guohua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Qiu, Anping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Quan, Jianzhou
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
R
Raghuraman, Saaisree
. . . . . . . . . . . . . . . . . . . . . . . .50
Rahman, Md. Wasi-ur. . . . . . . . . . . . . . . . . . . . . . 42
Rahman, Mohammad Tanvir
. . . . . . . . . . . . . . . . . 42
Ran, Hongge
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Reed, Mike
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Ren, Chunyun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Ren, Hongliang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Ren, X. L.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
T
Takeuchi, Hideno
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Tan, Jindong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9
Tan, L. Q.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Tan, Qingpin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Tan, Wei
......................................3
Tan, Yuejin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Tang, Jinshan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Tang, Meng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Tang, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11, 36
Tang, Xinmin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Tang, Xusheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Tang, Zesheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Taylor, Josh
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
Theodoridis, Theodoros
. . . . . . . . . . . . . . . . . . . . . . 22
Tian, Jingwen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
S
Sa, Jiming
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Sanjabi, Mersedeh
. . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Satoh, Motoo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Shang, Wen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Shao, Kang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Shao, Ming
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Shao, Zhixiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Shen, Jian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Shen, Wenhao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Sheng, Wanxing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Sheng, Weihua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
77
Tian, Longqiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Tian, Yantao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5
Ting, Yung
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Tong, Xufeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Tu, Junjun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42, 44
Tunnell, Robert
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Wang, Shilin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43
Wang, Sun’an
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Wang, Sunfeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Wang, Wancheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Wang, Wanshan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Wang, Wensheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . .16
Wang, Xi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .11, 36
Wang, Xianquan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Wang, Xiaojuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Wang, Xiaoling
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Wang, Xiaonan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Wang, Xiaoping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Wang, Xin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50, 66
Wang, Xinyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9
wang, Xiuyun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Wang, Xu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .63
Wang, Xulei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Wang, Yintao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Wang, Yuechao
. . . . . . . . . . . . . . . . . . . . . . . . . . . 21, 65
Wang, Zhaohui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .46
Wang, Zhaoxia
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Wang, Zhongbin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Wang, Zhongli
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Wang, Zuyuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Waser, Lars
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Wei, Boyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43
Wei, Jia
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Wei, Shimin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Wei, Yangjie
.................................. 7
Wei, Yonghe
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
Wei, Zhiqiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
Wei, Zuo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Wen, Hui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Wen, Jing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Weng, Xiaoxiong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Wieber, Pierre-Brice
.......................... 5
Wong, Chi Man
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Wong, Pak-Kin
. . . . . . . . . . . . . . . . . . . . . . . . . . . 56, 62
Wortmann, Tim
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Wu, Changhua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Wu, Chengdong
...............................7
Wu, Huihui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Wu, Jianhua
.................................. 7
Wu, L. F.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 41
Wu, Lingfei
................................... 6
Wu, Min
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Wu, Minghong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Wu, Ning
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Wu, Qingxiao
.................................9
Wu, Shandong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Wu, Wen-Yuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Wu, Wuchen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Wu, Xiaojuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Wu, Xiaojun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33, 62
Wu, Xin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Wu, Xinggang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
U
U, Kin Tak
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
V
Vai, Mang I
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Vieira, Jose
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34, 52
Vijayarangan, Rajkumar
. . . . . . . . . . . . . . . . . . . . . 50
Vong, Chi-Man
. . . . . . . . . . . . . . . . . . . . . . . . . . . 56, 62
W
Wada, Naoyuki
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Wan, Bo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Wan, Feng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Wan, Peng
....................................9
Wang, Boyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Wang, Cheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . .15, 56
Wang, Chunmei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Wang, Congfei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Wang, Dangwei
. . . . . . . . . . . . . . . . . . . . . . . . . . 46, 52
Wang, Feng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Wang, G. Q.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Wang, Guanglong
. . . . . . . . . . . . . . . . . . . . . . . . 40, 53
Wang, Guochao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Wang, Guoqiang
. . . . . . . . . . . . . . . . . . . . . . . . . 17, 29
Wang, Guorong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Wang, Heyong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Wang, Hong
. . . . . . . . . . . . . . . . . . . . . . . . . . . 7, 38, 59
Wang, Huiyuan
. . . . . . . . . . . . . . . . . . . . . . . . . . 34, 52
Wang, Jingguo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Wang, Jingkai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Wang, Jinhui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Wang, Jinjing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Wang, Jinjun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Wang, Jinkuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Wang, Jiong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Wang, Keqi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Wang, Kuo-Yang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . .29
Wang, Lei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
Wang, Lidai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Wang, Liquan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Wang, Lizhen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54, 58
Wang, Lujia
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Wang, Maobin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
Wang, Mengxiao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Wang, Michael Yu
. . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Wang, Peng
...................................9
Wang, Sen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Wang, Shicheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
78
Wu,
Wu,
Wu,
Wu,
Xinyu
....................................5
Xuetao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Yuanqing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Zongzhi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Yan, Weisheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Yan, Zhongmin
. . . . . . . . . . . . . . . . . . . . . . . . . . . 19, 25
Yang, Bo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Yang, Chia-Hsing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Yang, Feng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Yang, Ke
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Yang, Peng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Yang, Quan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Yang, Quanfa
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Yang, Seung Hyeop
. . . . . . . . . . . . . . . . . . . . . . . . . . 14
Yang, Shaowu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .37
Yang, Wenjian
................................ 9
Yang, Wenjun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .53
Yang, Xia
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Yang, Xiaojun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Yang, Xiushun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Yang, Xuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Yang, Xusheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Yang, Yahong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 50, 66
Yang, Yanna
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Yang, Zhengying
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Yang, Zhijian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54, 60
Yang, Zhixiao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Yao, Wenli
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Yao, Xifan
.................................... 3
Yao, Zhenqiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Ye, Feng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Ye, Jun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Ye, Lin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Ye, X. C.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Ye, Xiufen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Ye, Xuehui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Ye, Yaqin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Ye, Yixi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .42
Yi, Dun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Yin, Zhouping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3, 12
You, Dongdong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Yu, Dong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Yu, Fan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Yu, Fengqi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59, 65
Yu, Guoxian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Yu, Haibin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14, 59
Yu, Haipeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7, 44
Yu, Jingjun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Yu, Jun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Yu, Shiqi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5
Yu, Shumei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Yu, Tianbiao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Yu, Ting
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59, 65
Yu, Yong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
Yu, Yueqing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Yu, Zhangguo
.................................5
Yuan, Kui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Yuan, Mingzhe
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Yuan, Pingpeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Yuan, Qingke
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
X
Xi, Anmin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Xi, Ning
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Xia, Xiaohu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Xiao, Debao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Xie, Hongwei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Xie, Min
......................................7
Xie, Ming
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55, 56
Xie, Nengfu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Xie, S. Q.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Xie, Shane
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Xie, Wen-Fang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Xie, Xiaopeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .32
Xie, Xinping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Xing, Zhiwei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Xiong, Xiaofeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Xiong, Youlun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3, 12
Xu, Aidong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Xu, Bo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Xu, Chongan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6
Xu, Demin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Xu, Fengyang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Xu, Gang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Xu, Haili
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15
Xu, Hui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Xu, Huosheng
.... .... ..... .... ..... .... ..... ..9
Xu, Jing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Xu, Ming
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Xu, Qingxiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Xu, Rui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Xu, Shunjie
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Xu, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5
Xu, Wenfu
....................................8
Xu, Xiaohong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Xu, Xiaoyun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35, 60
Xu, Yangsheng
................................5
Xu, Yifan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Xu, Yuetong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Xu, Yufeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
Xu, Zhangsui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Xuan, Bac Nguyen
. . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Xue, Yunfeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Y
Yan,
Yan,
Yan,
Yan,
Yan,
Yan,
Heping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Huaicheng
. . . . . . . . . . . . . . . . . . . . . . . . . . 23, 29
Lei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Q. W.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Qingwen
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41, 53
Shuhua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
79
Yuan, Shuai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .21
Yuan, Xiaobu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
Yun, Yuan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Zhang, Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .39, 53
Zhang, Xianmin
. . . . . . . . . . . . . . . . . . . . . . . . . . 23, 39
Zhang, Xiaodong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . .39
Zhang, Xiaotao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Zhang, Yanbin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Zhang, Yang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Zhang, Ying
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Zhang, Yinig
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Zhang, Yinong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Zhang, Yuyang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .43
Zhang, Zhisuo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Zhang, Zhonglin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Zhao, Dean
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42, 44
Zhao, Dongbiao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Zhao, Duanyang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Zhao, Fuqing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50, 66
Zhao, GuoLiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .33
Zhao, Huibo
.................................. 3
Zhao, Jindong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6
Zhao, Kai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Zhao, Liqiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Zhao, Peng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Zhao, Shitian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Zhao, Weizhong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Zhao, Xiaochuan
. . . . . . . . . . . . . . . . . . . . . 34, 45, 63
Zhao, Xinjie
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Zhao, Yan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38, 59
Zhao, Yumeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Zhao, Zhaoxia
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Zhao, Zixin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Zheng, Change
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Zheng, Chunsong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Zheng, Qilun
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Zheng, Shupeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Zheng, Xijing
................................. 5
Zheng, Yaqing
................................ 4
Zheng, Yili
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .37
Zheng, Zhiqiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Zhong, Hanru
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Zhong, Yingying
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Zhong, Yong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Zhou, Chunlei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .59
Zhou, Jianfeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Zhou, Jiaxin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Zhou, Jing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Zhou, Kui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9
Zhou, Lihua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .54
Zhou, Qunli
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Zhou, Shiru
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
Zhou, Shuming
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6
Zhou, Shunping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Zhou, Yanhong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Zhou, Zude
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Zhu, Changan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51
Zhu, Feng
.....................................9
Zhu, Ge
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .59
Z
Zapata, Rene
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Zeng, Fucen
...................................7
Zeng, H. F.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Zeng, Haifeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Zeng, Lingli
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Zeng, Qiang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Zeng, Songsheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Zeng, Zhixin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Zhan, Ping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .49
Zhan, Xianglin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Zhang, Aiqing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Zhang, Bin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5
Zhang, Dan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 32
Zhang, Dengpan
.............................. 8
Zhang, Dongxia
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Zhang, F. X.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Zhang, Fubin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Zhang, Fuxue
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 53
Zhang, G. B.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Zhang, Gang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Zhang, Genbao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Zhang, Hao
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Zhang, Hong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40, 53
Zhang, Hongyi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Zhang, Hui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37, 63
Zhang, Huidi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51
Zhang, Jian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Zhang, Jianwei
. . . . . . . . . . . . . . . . . . . . . . . 13, 15, 44
Zhang, Jie
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Zhang, Jinsheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Zhang, Jinsong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .62
Zhang, Kai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Zhang, Kaisheng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Zhang, Kunhua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Zhang, Lei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Zhang, Li
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Zhang, Liang
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9
Zhang, Liangan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Zhang, Lin
....................................7
Zhang, Liwei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Zhang, Ping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39, 55
Zhang, Qi
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30, 59
Zhang, Qiuyu
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Zhang, Quanhu
............................... 7
Zhang, Rengui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Zhang, Rui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Zhang, Shidong
. . . . . . . . . . . . . . . . . . . . . . . . . . 19, 25
Zhang, Shimin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Zhang, Siquan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
Zhang, W.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25, 41
Zhang, W. B.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
80
Zhu,
Zhu,
Zhu,
Zhu,
Zhu,
Zhu,
Zhu,
Zhu,
Zhu,
Zhu,
Zhu,
Hongqian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Jianguo
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43
Jinhong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Jinhui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Junpeng
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Min
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Wei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .43
Xiaorui
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9, 43
Xinhua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Xinping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Zhencai
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Zhu, Zhiping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Zhuang, Jian
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Zhuang, Wei
.................................. 9
Zi, Bin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Zong, Guanghua
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Zou, Fengxing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Zou, Junzhong
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Zou, Xiaoping
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .35
Zu, Enlin
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Zu, Linan
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
Zuo, Lei
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
81

Conference Digest - University of Alberta

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