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Table of Contents


Preface
We are very pleased to welcome our colleagues to the International Conference on Computational Aspects of Social Networks (CASoN-2010) hosted by Taiyuan University of Science and Technology, Machine Intelligence Research Labs (MIR-Labs), National Kaohsiung University of Applied Sciences and Shenzhen Graduate School of Harbin Institute of Technology. Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Recent trends also indicate the usage of complex network as a key feature for next generation usage and exploitation of the Web. This International conference on “Computational Aspect of Social Networks” is focused on the foundations of social networks as well as case studies, empirical, and other methodological works related to the computational tools for the automatic discovery of Web-based social networks. This conference provides an opportunity to compare and contrast the ethological approach to social behavior in animals (including the study of animal tracks and learning by members of the same species) with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks.

The main topics cover the design and use of various computational intelligence tools and software, simulations of social networks, representation and analysis of social networks, use of semantic networks in the design and community-based research issues such as knowledge discovery, privacy and protection, and visualization. CASoN-2010 brings together an interdisciplinary venue for social scientists, mathematicians, computer scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of intelligent methods applied to Social Networks, and to discuss the practical challenges encountered and the solutions adopted.

CASoN-2010 papers cover a broad set of topics with particular emphasis on Social Network Computing Methods such as (but not restricted to):


  • Network evolution

Network evolution and growth mechanisms

Online communities and computer networks

Information diffusion in social networks

Detection of communities by document analysis

Topology of real networks


  • Recommendation

Information diffusion in social networks

Recommendations for product purchase, information acquisition

Impact of recommendation models on the evolution of the social network

Classification models and their application in social recommender systems



  • Advertisement models

Economical impact of social network discovery

Social advertising

Use of social networks for marketing


  • Search in network

Web page ranking informed by social media

Search algorithms on social networks

Collaborative Filtering


  • Security

Anomaly detection in social network evolution

Data protection inside communities

Crime data mining and network analysis

Modeling trust and reputation in social networks

Misbehavior detection in communities


  • Network geography

Geographical clusters, networks, and innovation

Social geography

International Collaborations in e-Social network


  • Web

Automatic discovery and analysis of Web based social networks

Link Topology and Site Hierarchy

Web mining algorithms

Web communities

Web-Based Cooperative Work


  • Evaluation

Test collection

Benchmark creation

Measures and methodologies

CASoN-2010 is technically sponsored by the IEEE Systems, Man, and Cybernetics Society, Tainan Chapter, IEEE Signal Processing Society and Technically Supported by the IEEE SMC Technical Committee on Intelligent learning in Control Systems, IEEE SMC Technical Committee on Granular Computing, IEEE SMC Technical Committee on Soft Computing and Taiwan Association for Web Intelligence Consortium. Each accepted paper was peer reviewed by at least three or more program committee members. We would like to thank the CASoN-2010 international program committee and the additional reviewers for providing the reviews in time. Our special thanks also go to all the plenary speakers for providing the very interesting and informed talks to catalyze subsequent discussions.

Our special thanks to IEEE Computer Society Press, for all the support and help related to the production of this important scientific work. Finally, we would like to express our sincere gratitude to all the authors and local organizing committees that have contributed towards the success of this conference. We look forward to seeing you in Taiyuan, China during CASoN-2010 September 26-28, 2010.
Sincerely,

Jianchao Zeng, Jeng-Shyang Pan, and Ajith Abraham

Conference Chairs
Vaclav Snasel, Katarzyna Wegrzyn-Wolska, and Zhiyi Sun

Program Committee Chairs


August 02, 2010




Jianchao Zeng

General Co-Chair



Jeng-Shyang Pan

General Co-Chair



Ajith Abraham

General Co-Chair


画布 40
September 26 – 28, 2010

Taiyuan, China


画布 39
Honorary Chairs

Yongyi Guo, Taiyuan University of Science and Technology, China

Chun-Hsiung Fang, Kaohsiung University of Applied Sciences, Taiwan
General Chairs

Jianchao Zeng, Taiyuan University of Science and Technology, China

Jeng-Shyang Pan, Kaohsiung University of Applied Sciences, Taiwan

Ajith Abraham, Norwegian University of Science and Technology, Norway


Special Session Chair

Mario Koeppen, Kyushu Institute of Technology, Japan

Deng-Yiv Chiu, Chung-Huang University, Taiwan
Program Chairs

Vaclav Snasel, VSB-Technical University of Ostrava, Czech Republic

Katarzyna Wegrzyn-Wolska, ESIGETELAvon-Fontainebleau, France

Zhiyi Sun, Taiyuan University of Science and Technology, China


International Co-chair

HsinChun Chen, University of Arizona, USA

Osmar R. Zaiane, University of Alberta, Canada

David Zeng, University of Arizona, USA

Gening Xu, Taiyuan University of Science and Technology, China

Bin-Yih Liao, Kaohsiung University of Applied Science, Taiwan


International Advisory Committee

Reda Alhajj, VSB-Technical University of Ostrava, Canada

Katarzyna Wegrzyn-Wolska, ESIGETELAvon-Fontainebleau, France

Yanwei Ruan, Taiyuan University of Science and Technology, China

Janusz Kacprzyk, Polish Academy of Sciences, Poland

Witold Pedrycz, University of Alberta, Canada

Albert Zomaya, University of Sydney, Australia

Tzung-Pei Hong, Kaohsiung University, Taiwan

Shusaku Tsumoto, Shimane University, Japan

Ching-Chih Tsai, Chung Hsing University, Taiwan


Local Organizing Chair

Anhong Wang, Taiyuan University of Science and Technology, China

Zhihua Cui, Taiyuan University of Science and Technology, China
Publicity Chairs

Xinming Li, Taiyuan University of Science and Technology, China


Finance Chairs

Hsiang-Cheh Huang, University of Kaohsiung, Taiwan

Junlin Li, Taiyuan University of Science and Technology, China

The Second International Conference on Computational Aspects of Social Networks (CASoN-2010) will be held in Taiyuan on 18-20 October, 2010.The conference is hosted by Taiyuan University of Science and Technology.

Proceedings will be published by IEEE CS Press and indexed by EI and ISTP.

The International Conference on Computational Aspects of Social Networks aims to bring together social scientists, mathematicians, computer scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of intelligent methods applied to Social Network.

International Conference on Computational Aspects of Social Networks

SCOPE: Topics of interest include, but are not limited to:

 

  • Neural Networks and Connectionist Models

  • Evolutionary Algorithms

  • Fuzzy Logic

  • Knowledge Management

  • Multi-valued Logic

  • Semantic Networks

  • Rough Sets

  • Intelligent Agents

  • Ontologies

  • Reinforcement Learning

  • Complex Network

  • Computational Intelligence

  • Data integration across multiple social networks

Applications on Social Networks:

Network evolution

Network evolution and growth mechanisms.

Online communities and computer networks.

Information diffusion in social networks.

Detection of communities by document analysis.

Topology of real networks.

Recommendation

Information diffusion in social networks.

Recommendations for product purchase, information acquisition and establishment of social relations.

Impact of recommendation models on the evolution of the social network.

Classification models and their application in social recommender systems.

Advertisement models

Economical impact of social network discovery.

Social advertising.

Use of social networks for marketing.

Search in network

Web page ranking informed by social media.

Search algorithms on social networks.

Collaborative Filtering.


Security

Anomaly detection in social network evolution.

Data protection inside communities.

Crime data mining and network analysis.

Modeling trust and reputation in social networks.

Misbehavior detection in communities.

Network geography

Geographical clusters, networks, and innovation.

Social geography.

International Collaborations in e-Social network.

Web

Automatic discovery and analysis of Web based



Social networks.

Link Topology and Site Hierarchy.

Web mining algorithms.

Web communities.

Web-Based Cooperative Work.

Web-Based image and speech signal processing

Web-Based information security and assurance

Evaluation

Test collection.

Benchmarkcreation.







Paper Submission

Papers are invited from prospective authors with interest on the related areas. Each paper should consist of a title, authors' names, postal and email addresses, an up to 150-words abstract, a two-column body with 4 to 6 single-spaced pages and with font size at 10 pts.

All papers must be submitted electronically in PDF format only. Detail instructions will be available in the conference Websites:

http://bit.kuas.edu.tw/~cason10/

http://www1.tyust.edu.cn/cason/

http://iiirc.hitsz.edu.cn/CASoN2010/

Important Dates

Deadline for session proposal March 20, 2010

Deadline for paper submission April 4, 2010

Notification of acceptance May 31, 2010

Camera-ready manuscript submission July 2, 2010









CASoN-2010 Call for Paper

Sponsors

IEEE SMC Technical Committee on Intelligent learning in Control Systems


IEEE SMC Technical Committee on Granular Computing
IEEE SMC Technical Committee on Soft Computing

Taiyuan University of Science and Technology




Tainan Chapter of IEEE Signal Processing Society


MIR Lab


Kaohsiung University of Applied Sciences


Harbin Institute of Technology Shenzhen Graduate School


Taiwan Association for Web Intelligence Consortium



Organizing Committee
Honorary Chairs

Yongyi Guo, Taiyuan University of Science and Technology, China

Chun-Hsiung Fang, Kaohsiung University of Applied Sciences, Taiwan
General Chairs

Jianchao Zeng, Taiyuan University of Science and Technology, China

Jeng-Shyang Pan, Kaohsiung University of Applied Sciences, Taiwan

Ajith Abraham, Norwegian University of Science and Technology, Norway
Special Session Chairs

Mario Koeppen, Kyushu Institute of Technology, Japan

Deng-Yiv Chiu, Chung-Huang University, Taiwan
Program Chairs

Vaclav Snasel, VSB-Technical University of Ostrava, Czech Republic

Katarzyna Wegrzyn-Wolska, ESIGETELAvon-Fontainebleau, France

Zhiyi Sun, Taiyuan University of Science and Technology, China
International Co-chair

HsinChun Chen, University of Arizona, USA

Osmar R. Zaiane, University of Alberta, Canada

David Zeng, University of Arizona, USA

Gening Xu, Taiyuan University of Science and Technology, China

Bin-Yih Liao, Kaohsiung University of Applied Science, Taiwan
International Advisory Committee

Reda Alhajj, VSB-Technical University of Ostrava, Canada

Katarzyna Wegrzyn-Wolska, ESIGETELAvon-Fontainebleau, France

Yanwei Ruan, Taiyuan University of Science and Technology, China

Janusz Kacprzyk, Polish Academy of Sciences, Poland

Witold Pedrycz, University of Alberta, Canada

Albert Zomaya, University of Sydney, Australia

Tzung-Pei Hong, Kaohsiung University, Taiwan

Shusaku Tsumoto, Shimane University, Japan

Ching-Chih Tsai, Chung Hsing University, Taiwan
Local Organizing Chair

Anhong Wang, Taiyuan University of Science and Technology, China

Zhihua Cui, Taiyuan University of Science and Technology, China
Publicity Chairs

Xinming Li, Taiyuan University of Science and Technology, China
Finance Chairs

Hsiang-Cheh Huang, University of Kaohsiung, Taiwan

Junlin Li, Taiyuan University of Science and Technology, China

Program Committee Members
Yonglin Ren, University of Ottawa, Canada

Yau-Hwang Kuo, National Cheng Kung University, Taiwan

Ronald R. Yager, Iona College, USA

Ning Zhong, Maebashi Institute of Technology, Japan

Matjaz Gams, Jozef Stefan Institute, Slovenia

Moustafa Hammad, University of Calgary, Canada

Witold Pedrycz, University of Alberta, Canada

Milos Kudelka, Inflex, Czech Republic

Adam Wierzbicki, PJIIT, Poland

Kasia Wegrzyn-Wolska, ESIGETELAvon-Fontainebleau, France

Fatos Xhafa, Universitat Politecnica de Catalunya, Spain

Osmar R. Zaiane, University of Alberta, Canada

Thanos Vasilakos, University of Western Macedonia, Greece

Irwin King, Chinese University of Hong Kong, Hong Kong

Maryam Purvis, University of OtagoNew, Zealand

Tanya Berger-Wolf, University of Illinois, USA

Juan D. Velasquez, University of Chile, Chile

Aris Anagnostopoulos, Yahoo! Research, USA

Bingjun Sun, Yahoo! Labs, USA

Athena Vakali, Aristotle University of Thessaloniki, Greece

Michael W. Berry, University of Tennessee, USA

Haizheng Zhang, Microsoft Live Search Division, USA

Arnd Christian Konig, Microsoft Research, USA

Xiaowei Xu, University of ArkansasLittle Rock, USA

Mohammad Mahdian, Yahoo! Research, USA

Jie Tang, Knowledge Engineering Group Tsinghua University, China

Qiang Yang, Hong Kong University of Science and Technology, Hong Kong

Abdullah Uz Tansel, Baruch College, USA

Ozgur Ulusoy, Bilkent University, Turkey

Arash Shaban-Nejad, Concordia University, Canada

Matjaz Gams, Jozef Stefan Institute, Slovenia

Mohammed Alshalalfa, University of Calgary, Canada

Nader F. Mohamed, UAEU, UAE

Zongmin Ma, Northeastern University, China

Jiming Liu, Hong Kong Baptist University, Hong Kong

Mehmet Kaya, Firat University, Turkey

Faruk Polat, METU, Turkey

Witold Pedrycz, University of Alberta, Canada

Tansel Ozyer, TOBB University, Turkey

Malek Mouhoub, University of Regina, Canada

William I. Grosky, University of Michigan-Dearborn, USA

Reda Alhajj, University of Calgary, Canada

Vaclav Snasel, VSB-Technical University of Ostrava, Czech Republic

Youakim BADR, INSA-Lyon, France

Onur Ozyer, Microsoft Redmond, USA

Yonglin Ren, University of Ottawa, Canada

Yuxin Din, Harbin Institute of Technology, China

Jiye Liang, Shanxi University, China

Jilong Zhang, North University of China, China

Yaowen Xue, Shanxi Normal University, China

Junjie Chen, Taiyuan University of Technology, China

Suodi Zhang, Shanxi University of Finance&Economics, China

Gang Xie, Taiyuan University of Technology, China

Yu Hu, Taiyuan University of Technology, China

Hong Chen, North University of China, China

Zhen Jin, North University of China, China

Jifu Zhang, Taiyuan University of Science and Technology, China

Deyu Li, Shanxi University, China

Renbin Xiao, Huazhong University of Science and Technology, China
Keynote Speech (I)
The Recent Developments in Visual Cryptography

Professor Chin-Chen Chang

Feng-Chia University, Taiwan


Abstract

The computer technologies have grown significantly in the past years. More and more multimedia products such as digital cameras have become popular, so digital images are shared and transmitted widely over Internet. However, transmitting secret or important images, such as military or commercial images, over Internet is very dangerous. Malicious users may monitor Internet and try to eavesdrop these valuable images. To protect these images, visual cryptography is necessary for secure communications over Internet. Herein, secret image sharing can be applied to achieve the goal of visual cryptography. In this speech, I will talk about some visual cryptosystems based on the concept of secret image sharing.

Also, I'll talk about the concept of designing an authenticatable visual secret sharing. As for the topic of secret image sharing, the secret image sharing scheme uses several noise-like images, called shadows, to replace the original image transmitting over the Internet. The shadows can avoid threats from the illegal persons to access the secret image directly.

Secret image sharing techniques were proposed to be another branch outside traditional cryptographic techniques and steganography. Based on sharing secret images, visual cryptography for binary images, grayscale images and color images will be introduced.


Biography

Professor C.C. Chang was born in Taichung, Taiwan on Nov. 12th, 1954. He obtained his Ph.D. degree in computer engineering from National Chiao Tung University. He's first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in computer and decision sciences. Both were awarded in National Tsing Hua University. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005.

Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in National Chung Hsing University, chair professor in National Chung Cheng University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan.

Professor Chang's specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. And since his early years of career development, he consecutively won Outstanding Youth Award of Taiwan., Outstanding Talent in Information Sciences of Taiwan., AceR Dragon Award of the Ten Most Outstanding Talents, Outstanding Scholar Award of Taiwan., Outstanding Engineering Professor Award of Taiwan, Chung-Shan Academic Publication Awards, Distinguished Research Awards of National Science Council of Taiwan, Outstanding Scholarly Contribution Award of the International Institute for Advanced Studies in Systems Research and Cybernetics, Top Fifteen Scholars in Systems and Software Engineering of the Journal of Systems and Software, and so on. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published more than one thousand papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.


Keynote Speech (II)
The Tale of Human Face Recognition

Professor Liang Chen

University of Northern British Columbia, Canada


Abstract

What can Computing Machines do better than human beings? The jobs that require "massive" computing resources! But what are we going to "teach" a machine if we human beings do not know how to do a job?

Examples of such "subjective" jobs can be human face recognition, start codon prediction, and etc. There is a gap between our expectation on computing performances and our knowledge on how to do the job. This talk argues that the objective of high accuracy in related research for such jobs leads to nowhere but a general "trial and error" process; and shows by evidence that the current advance in face recognition has indeed not provided a significantly better solution than a trivial pixel matching based method. Therefore, the goal in developing AI algorithms should be shifted from "accuracy" to "stability" so that theoretical rather than fully experimental research can be carried out.
Biography

Professor Liang Chen (http://web.unbc.ca/~chenl/) received his PhD in Computer Science from Institute of Software, Chinese Academy of Sciences (Academia Sinica), China, in 1994. He is currently professor of computer science and professor on interdisciplinary program at University of Northern British Columbia (UNBC), BC, Canada. He was the former Chair of Computer Science Department at UNBC. Before coming to Canada in 2001, he spent time in China, France and Japan. Dr. Chen's research areas include pattern recognition, intelligent language tutoring system, and the computational intelligence fields.

Dr. Chen is currently chairing the IEEE Subsection of Northern British Columbia.

Keynote Speech (III)
Information Filtering From Social Networks

Professor Tao Zhou

University of Electronic Science and Technology of China, China


Abstract

The development of information systems, especially the explosive growth of Internet and World Wide Web has led to irreversible changes in our life. We are now facing rich and colorful information sources that we could not imagine a decade ago. However, the amount of information is increasing faster than our processing ability, thus evaluating all these alternatives and then making choice becomes infeasible. This information overload problem asks for automatic techniques on information filtering. This presentation will discuss the information filtering problems in large-scale social networks. I will start with the simplest yet the most fundamental information filtering problems: ranking and predicting. Then I will summarize our recent efforts on the personalized recommendation. Finally, I will discuss what the differences between the current- and the next-generation recommender systems are.


Biography

Tao Zhou received his Bachelor's degree from the University of Science and Technology of China in 2005. He obtained his Ph. D. majoring theoretical physics from the University of Fribourg in 2010. In March 2010, he was awarded a full professor position in the University of Electronic Science and Technology of China. His main research interests include infophysics, complex networks and human dynamics. He has published more than 110 SCI journal papers, and about 50 papers have been published in prestigious journals, including PNAS, Physical Reviews, New Journal of Physics and Europhysics Letters. Reports on his works appeared in many mainstream academic media, including Nature News, PNAS News, My Science, PhysOrg, TG Daily, Dutch Science Magazine, LˇAtelie, etc. All his publications have received more than 1200 citations according to the Web of Science, and his H-index is equal to 18. He is an editor or guest editor of many scientific journals, including Physics Procedia, Journal of Computer Science and Technology, Journal of Electronic Science and Technology, etc, and a standing referee of more than 20 SCI journals. He was awarded the 2010 Chorafas Prize for Young Scientists (19 young scientists over the world has obtained this prize in 2010), the first prize for Natural Science Progress by Chinese Education Ministry in 2009, and the first prize for Natural Science Progress by Anhui Province in 2009.


Map and Route to Taiyuan University of Science and Technology


Route to Academic Exchange Center



Layout of Conference-site
Library - 6F of Taiyuan University of Science and Technology

Conference Schedule




September 26, 2010

08:30

09:20



Opening

Room A (in Taiyuan University of Science and Technology)



09:20

10:20



Keynote Speech I

Room A (in Taiyuan University of Science and Technology)



10:20

10:40



Coffee Break

10:40

11:40



Session A01:

Recent advances on Swarm-based Computing (1)



Session A02:

Recent Advances on Swarm-based Computing(2)



Session A03:

Theories and Applications for Social Network Security and Intelligent Computation



Room A

Room B

Room C

11:40|

13:15


Lunch

Restaurant (in Academic Exchange Center)



13:15

15:15



Session A04:

Theories and Applications for Social Network Security



Session A05:

Fast Logic Computation, Ontologies and Multi-valued Logic in Semantic Networks



Session A06:

Middleware and Component Technology



Session P01:

Poster Session (01)




Room A

Room B

Room C

Room P

15:15

15:40



Coffee Break

15:40

17:40



Session A07:

Pattern Analysis and Optimization & Multimedia Information Processing



Session A08:

Complex Networks and Granular Computing



Session A09:

Intelligent System and Evolutionary Algorithms



Session P02:

Poster Session (02)




Room A

Room B

Room C

Room P

17:40

20:00



Dinner

Restaurant (in Academic Exchange Center)




September 27, 2010

08:30

09:20



Keynote Speech II

Room A (in Taiyuan University of Science and Technology)



09:20

10:20



Keynote Speech III

Room A (in Taiyuan University of Science and Technology)



10:20

10:40



Coffee Break

10:40

11:40



Session B01:

Applications in Smart Home



Session B02:

Business Management Application and Fuzzy Logic



Session B03:

Application of Intelligent Computation & Neural Networks and Connectionist Models



Session B10:

Wireless Sensor Network and Internet Technique



Room A

Room B

Room C

Room P

11:40|

13:15


Lunch

Restaurant (in Academic Exchange Center)



13:15

15:15



Session B04:

The Synergy between AI and Brain Science



Session B05:

Image Processing/Pattern Recognition(1)



Session B06:

Image Processing/Pattern Recognition (2)



Session P03:

Poster Session (03)




Room A

Room B

Room C

Room P

15:15

15:40



Coffee Break

15:40

17:40



Session B07:

Knowledge Management & Technical Innovation and Network based System Design



Session B08:

Neural Networks and Connectionist Models



Session B09:

Neural Networks and Connectionist Models & Network based System Design



Session P04:

Poster Session (04)




Room A

Room B

Room C

Room P

17:40

20:00



Banquet

Restaurant (in Academic Exchange Center)




September 28, 2010

Travelling


International Conference on Computational Aspects of Social Networks 2010

September 26-28, Taiyuan, China

http://www1.tyust.edu.cn/cason/ (Taiyuan)



http://bit.kuas.edu.tw/~cason10/ (Taiwan)
Conference Program


September 25, 2010

Registration

(Academic Exchange Center)

14:00-21:00




September 26, 2010

Registration

08:00-17:30

Opening

08:30-09:20

Keynote Speech I

09:20-10:20

Coffee Break

10:20-10:40

Session A01-A03

10:40-11:40

Lunch

11:40-13:15

Session A04~A06

13:15-15:15

Poster Session P01

13:15-15:15

Coffee Break

15:15-15:40

Session A07~A09

15:40-17:40

Poster Session P02

15:40-17:40

Dinner

17:40-20:00




September 27, 2010

Registration

08:00-17:30

Keynote Speech II

08:30-09:20

Keynote Speech III

09:20-10:20

Coffee Break

10:20-10:40

Session B01-B03B10

10:40-11:40

Lunch

11:40-13:15

Session B04~B06

13:15-15:15

Poster Session P03

13:15-15:15

Coffee Break

15:15-15:40

Session B07~B09

15:40-17:40

Poster Session P04

15:40-17:40

Banquet

17:40-20:00




September 28, 2010

Travelling

Session List


September 26, 2010, 10:40-11:40

A01

Recent advances on Swarm-based Computing (1)

A02

Recent advances on Swarm-based Computing (2)

A03

Theories and Applications for Social Network Security and Intelligent Computation




September 26, 2010, 13:15-15:15

A04

Theories and Applications for Social Network Security

A05

Fast Logic Computation, Ontologies and Multi-valued Logic in Semantic Networks

A06

Middleware and Component Technology

P01

Poster Session (01)




September 26, 2010, 15:40-17:40

A07

Pattern Analysis and Optimization & Multimedia Information Processing

A08

Complex Networks and Granular Computing

A09

Intelligent System and Evolutionary Algorithms

P02

Poster Session (03)




September 27, 2010, 9:50-11:50

B01

Applications in Smart Home

B02

Business Management Application and Fuzzy Logic

B03

Application of Intelligent Computation & Neural Networks and Connectionist Models

B10

Wireless Sensor Network and Internet Technique




September 27, 2010, 13:15-15:15

B04

The synergy between AI and Brain Science

B05

Image Processing/Pattern Recognition (1)

B06

Image Processing/Pattern Recognition (2)

P03

Poster Session (03)




September 27, 2010, 15:40-17:40

B07

Knowledge Management & Technical Innovation and Network based System Design

B08

Neural Networks and Connectionist Models

B09

Neural Networks and Connectionist Models & Network based System Design

P04

Poster Session (04)


A01

Recent advances on Swarm-based Computing (1)

Session ChairsProf. Zhihua Cui, Taiyuan University of Science and Technology, China

Prof. Li-Ping Xie, Taiyuan University of Science and Technology, China

A01-01­,CASoN-2010-IS02-02



Nonlinear Time-Varying Stability Analysis of Particle Swarm Optimization

Wei-Bing Fan, Zhi-Hua Cui, Yong-Jing Chen, and Ying Tan

Taiyuan University of Science and Technology, China
A01-02­,CASoN-2010-IS02-03

Using Hungry Particle Swarm Optimization to Direct Orbits of Chaotic Systems

Xing-Juan Cai and Zhi-Hua Cui

Taiyuan University of Science and Technology, China
A01-03­,CASoN-2010-IS02-04

Social Cognitive Optimization Algorithm with Reactive Power Optimization of Power System

Zhan-Hong Wei, Zhi-Hua Cui and Jian-Chao Zeng

Taiyuan University of Science and Technology, China
A01-04­,CASoN-2010-IS02-05

NW-based Particle Swarm Optimization

Xiao-Bo Zhou

Taiyuan University of Science and Technology, China
A01-05­,CASoN-2010-IS02-06

A Hybrid Vector Artificial Physics Optimization with One-Dimensional Search Method

Gang-Jun Yang, Li-Ping Xie, Ying Tan, and Jian-Chao Zeng

Taiyuan University of Science and Technology, China
A01-06­,CASoN-2010-IS02-07



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