Approved Special Sessions 

2006 International Conference on Intelligent Computing (ICIC’06)  

(http://www.ic-ic.org/2006/index.htm) 

August 16-19, 2006

Harbour Plaza, Kunming, China

Papers in special sessions should be submitted electronically via Online Submission & Review System. The format of the initial submissions must be PDF. All submitted papers will be refereed by experts in the respective fields according to the criteria of originality, significance, quality, and clarity. The Special Session will be officially accepted by ICIC2006 on the condition that there are at least 5 papers accepted by peer-reviewers. So the organizers for the prospective Special Sessions are welcome to invite more authors to submit their works to our conference. All accepted papers with paid registration will be included in the Proceedings of ICIC 2006, and all the authors of the papers finally accepted by Special Sessions must attend the conference and present their works to audience.

The approved Special Sessions are listed as follows:

1. Special Session on Intelligent Algorithms for Game Theory

Organizer: Ruiqing Zhao (zhao@tju.edu.cn), Institute of Systems Engineering, Tianjin University, Tianjin 300072, China

It is known that the steady development and wide applications of game theory owe to the seminal works of Neumann-Morgenstern and Nash. Game theory has revolutionized the methodologies, which are used to make sense of strategic interaction among diverse agents and applied in wide fields, such as economics, management, and operations research, etc. Meanwhile, many researchers have been attempting to apply intelligent computing in game theory. Some important computational methods, such as neural networks, fuzzy logic, PSO, GA method, etc, have been developed for the optimal strategies in game theory. We welcome original algorithmic research on intelligent algorithms for game theory. Topics of interest include, but are not limited to:

2. Special Session on Smart and Intelligent Home Technology
Organizer: Dr. Youngsu Park (taihoonn@paran.com), Hanyang University, Seoul, Korea

According to the rapid change of a computing environment, it is coming an age of ubiquitous computing that we can make use of information service at any time and anywhere as the paradigm of digital convergence such as broadcasting, communication, and appliances.
Consequently, Smart & Intelligent Home environment is constructed in the house. Various services such as security/automation, health monitoring, medical examination and treatment, entertainment, education, and e-business are realized at home.
Both affective, systematic managements and services that correspond with the above environment are required in multimedia services as well.
Topics of our session are (but not limited to):

3. Special Session on Intelligent Computing for Information Perception and Integration in Intelligent Control System
Organizer: ZHAO Xiaoguang ( xiaoguang.zhao@ia.ac.cn), Institute of Automation, The Chinese Academy of Sciences
No.95 Zhongguancundonglu, Beijing, 100080, P.R.China

With the development of computer science and technology, it has been recognized that information perception and integration is fundamental to increasing the versatility and application domain of intelligent control system. It is necessary to understand the environment of control system, because the intelligent system mimics the human function to do some work. During the last decade, perception environment information based sensor and integration knowledge based IC (Intelligent Computing) technology became the focus research field.
Recently, the field of intelligent Computing(IC) for information perception and integration in intelligent control system has presented to provide the means for acquiring, analyzing, processing and understanding application environment of intelligent control system, and to solve the control problem using IC technologies such as fuzzy logic, neural networks, and artificial intelligence based sensor network , vision and image processing , biological control system, robotic system, and integrating perception of Human-Machine or interface system. The use of the above mentioned Intelligent Computing technologies has been developing during the last few years, purpose of offering ways to acquirement control information for intelligent system.
This special session focuses on the current research trends of introducing and implementing IC techniques to address the various perception and integration for information in intelligent control system. Topics of interest include, but are not limited to the use of

4. Special Session on Computational Intelligence Approaches and Methods for Security Engineering
Organizer: Dr. Tai-hoon Kim (taihoonn@empal.com), Security Engineering Research Group, San 7, Geoyeo-Dong, Songpa-Gu, Seoul, Rep. of Korea

The general systems of today are composed of a number of components such as servers and clients, protocols, services, and so on. Systems connected to network have become more complex and wide, but the researches for the systems are focused on the 'performance' or 'efficiency'.
While most of the attention in system security has been focused on encryption technology and protocols for securing the data transaction, it is critical to note that a weakness (or security hole) in any one of the components may comprise whole system.
Security engineering is needed for reducing security holes may be included in the software. There are very many approaches or methods in software development or software engineering. Therefore, more security-related researches are needed to reduce security weakness may be included in the software and complement security-related considerations of general software engineering.
Topics of interest include, but are not limited to

5. Special Session on Novel Applications of Knowledge Discovery on Bioinformatics
Organizers: Xia Li (lixia@ems.hrbmu.edu.cn), Department of Bioinformatics, Harbin Medical University, Harbin, HeiLongjiang 150086, China. Shaoqi Rao (raos@ccf.org), Departments of Cardiovascular Medicine and Molecular Cardiology, The Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, Ohio 44195, USA

Bioinformatics is the use of computer technology to collect and analyze the incredible amounts of data generated by high-throughput methods of genomics and proteomics. These technologies are revolutionizing the way in which biology research and product development are conducted.
Many scientists find bioinformatics exciting because it holds the potential to dive into a whole new world of uncharted territory. Bioinformatics is a new science and a new way of thinking that could potentially lead to many relevant biological discoveries.
Techniques in the areas such as data mining and machine learning etc. are all applied to Bioinformatics. In order to develop these knowledge discovery approaches that contribute to our understanding of natural pattern of health and life, solutions to the interrelated problems have to be assembled into efficient and scalable systems. The special session aims at facilitating this process, and at enhancing the exchange of knowledge between computational biologists and knowledge discovery researchers. Topics of interest include (but are not limited to):

6. Special Session on Language Processing for Affective Computing
Organizer: David B. Bracewell (davidb@is.tokushimau.ac.jp , Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima 21 Minamijyousanjimacho, Tokushimashi 7708056, JAPAN

Affective Computing is a relatively new field that deals with emotions and stimuli in humancomputer interaction. Currently research is being done in gesture recognition, facial expressions, speech, and language. No matter the source, computer responses that are based on the current emotional state of the human user will improve the humancomputer experience significantly. Over the past 10 years there has been a growth in the field with numerous workshops and conferences being held. Labs across the world including MIT, Carnegie Mellon, and The University of Tokyo are actively doing research in affective Computing. Various nations around the world, like the US, China and Japan, have also seen the importance of affective computing and are heavily financing its research. Language, whether it be speech or writing has always been one of the most significant vehicles for exhibiting emotion. Emotion is so entwined in language that often times without knowing the emotion, language cannot be fully understood. As the opportunities for humancomputer interaction increases so will the need for affective Computing. Understanding the underlying emotion in speech or text and being able to generate speech or text that has emotion will be a necessity for comfortable interaction. In areas such as telephony, robotics, and online customer support the need for algorithms to understand and simulate human emotion will enable comfortable and awarding interactions. A central problem in humancomputer interaction is to improve the end experience for the human user. Studies have shown that users are more responsive and rate their interaction more highly when the computer was able to show some empathy. The need for computers to understand and create emotion will become greater as the opportunities to interact with them increases. As such, affective computing is an essential research area for the future.
Cognitive Science has long studied the interaction and connection between language and emotion. Whether speech or text, understanding emotion in language is a giant part of dealing with emotion overall. Daily tasks like using an ATM machine or using an automated system over a phone could give a better experience to the user if the systems were able to comprehend and create emotion. Beyond just giving a better humancomputer experience, affective computing can create new opportunities for people who would otherwise have a dificult time interacting with a computer. Projects, such as "ESPThe EmotionalSocial Intelligence Prosthetic,"1 have goals of helping people with varying affictions communicate and interact in an emotional way. affective computing has the promise of opening new doors for those who normally have dificulties in communicating their emotion. The goals of this special session is to bring together researchers from Natural Language Processing (NLP) and affective Computing to discuss ways of using language to recognize, estimate, and create emotion. Researchers in both fields can help each other. To have a true understanding of language, one has to understand the emotion that drives it. Techniques and tools common to NLP researchers can help those in affective Computing use language to its fullest. This special session will look at research being done in language processing for affective Computing. It will look specifically at research being done in speech and text processing for emotion recognition, corpus and tool creation, as well as other areas. The list below shows some the desired topics. In the next section there is a list of papers with their authors and abstracts who have agreed to join this special session and make the trip to Kunming to be a part of ICIC 2006. In addition to the papers listed we have researchers in China and Japan who are working on papers to submit.

7. Special Session on Intelligent Computing for Software Reliability Engineering
Organizer: GUO Ping (pguo@bnu.edu.cn), Department of Computer Science, College of Information Science, Beijing Normal University, Beijing, 100875, P.R.China

The demand for complex software systems has increased more rapidly than the ability to design, implement, test, and maintain them, and the reliability of software systems has become a major concern for our modern society. With the recent years, computer software has already become the major source of reported outages in many systems. Consequently, software engineers and researchers are striving to meet this challenge by developing and implementing software engineering methodologies able to deliver software products of high reliability, within budget and time constraints. The field of Intelligent Computing (IC) in Software Reliability Engineering has recently emerged to provide the means for addressing, studying, analyzing and understanding critical software development issues, and at the same time to offer mature IC technologies such as fuzzy logic, artificial neural networks, evolutionary computing and artificial intelligence based Intelligent systems, expert knowledge based systems, and case based reasoning. The use of the aforementioned Intelligent Computing technologies has been growing during the last decade, aiming at offering answers to the reliability of software systems. This special session focuses on the current research trends of introducing and implementing IC techniques to address the various software reliability engineering needs arising during the different phases of software development and analysis. Topics of interest include, but are not limited to, the use of

8. Special Session on Credibility Theory with Applications
Organizer: Jinwu Gao ( jgao@orsc.edu.cn ), School of Information Renmin University of China Beijing 100872, China

It is known that the steady development and widely applications of the probability theory owe to the complete axiomatic foundation given by Kolmogoroff in 1933. Fuzzy set was initialized by Zadeh via membership function in 1965, and was well developed and applied in a wide variety of real problems. Meanwhile, many researchers have been attempting to establish a complete axiomatic foundation of fuzzy set theory.
In 2004 Liu proposed the credibility theory that is a new branch of mathematics for studing the behavior of fuzzy phenomena. This session focuses on the credibility theory with applications. We welcome original contributions from both the theoretical and the application side. Topics of interest include, but are not limited to:

9. Special Session on Advances in Intelligent Computing with Applications in Multimedia Systems
Organizers: Dr. Zhang Jia-shu (jszhang@home.swjtu.edu.cn), Director, Sichuan Province Key Lab of Signal & Information Processing, Southwest Jiaotong University, Chengdu, Sichuan, P. R China. Muhammad Khurram Khan (khurram.khan@scientist.com), Group Leader, Research Group for Biometrics and Security, Sichuan Province Key Lab of Signal & Information Processing, P.R China

In this revolutionary era, a major and fundamental issue we face today is how to efficiently analyze, process, and take advantage of the plethora of information of the real world. Particularly, intelligent computing has been widely and actively studied in the recent decades with a wide range of diversity of sources. Many technologies based on intelligent systems have been developed and applied in various practical applications. Introduction of intelligence to a practical system could offer many advantages in terms of usability, reliability, management, and user acceptance.
Multimedia technologies represent new ground for research interactions among a variety of media such as speech, audio, image, video, text and graphics. Future multimedia technologies will need to handle information with an increasing level of intelligence, i.e., automatic recognition and interpretation of multimedia/multimodal signals. This special session focuses on applying intelligent computing technologies to multimedia systems.
This special session intents to bring together diversity of international researchers, experts and practitioners who are currently working in the area of intelligent computing and its applications in multimedia systems. It will explore the advances of signal processing techniques in such problems. Its goal is to stimulate interest in this field and to create productive synergy among researchers who are working in this fascinating area. Prominent researchers both from academia and industry are invited to attend and show advances in the state-of-the-art in the field. This justifies and reassures the relevance of the proposed section. We believe that this special session will promote further co-operation between specialists who are working in intelligent computing technologies including signal processing, multimedia and information processing, computer security & cryptography and other related disciplines. Furthermore, it will give interested researchers an opportunity to review the current state-of-art of the topic, exchange recent ideas, and explore promising new directions.
Original papers are solicited from the authors. It is expected that the prospective papers are unpublished and present novel, fundamental research offering innovative contributions either from a methodological viewpoint or from an application papers are unpublished and present novel, fundamental research offering innovative contributions either from a methodological viewpoint or from an application perspective. The assessment criteria will be heavily weighted towards originality, potential impact and relevance to this special session. All papers will be peer reviewed by at least three independent referees.
The solicited topics of interest include, but not limited to, all aspects of intelligent computing with their applications in multimedia systems:

10. Special Session on Emerging Intelligent Methods for Nonlinear System Modelling
Organizers: Uwe Kruger (uwe.kruger@ee.qub.ac.uk) and Kang Li (k.li@ee.qub.ac.uk), Intelligent Systems and Control Research Group, Queen's University Belfast, BT9 5AH, United Kingdom

The modelling of nonlinear system through first principal models (white-box models) and system identification (black-box models) has become an area of increasing importance over the past decades. This is noticeable from associated conferences, for example the IFAC (International Federation of Automatic Control) conferences SYSID, DYCOPS and the IFAC World Congress along with many contributions in high-calibre international research journals, such as IFAC journals of Automatica, Journal of Process Control, and IEEE Transactions on Automatic Control and Control Systems Technology.

Nonlinear modelling is the counterpart of traditional linear system modelling, which has been established as a significant and general research area from around the mid 1950s. Over the past few decades, the increase in computer horsepower has led to the mushrooming of intelligent computing techniques in nonlinear system modelling and identification, and covered a very wide range of application, e.g. medicine, bio-informatics, engineering and general science disciplines.

The proposed session brings together recent developments in a wide range of disciplines, covering theoretical developments of white-box techniques to produce a compact representation of a nonlinear system, applications in various disciplines and identification (black-box techniques) of data-driven models for complex dynamic nonlinear systems using intelligent methods. Given the mix of applications to an aerospace system, an internal combustion engine, a pulveriser and several chemical systems, as well as novel theoretical developments of model reduction and system identification of nonlinear processes provides, in the organisers' opinion, the right ingredients for an interesting session that promises lively discussions and a good attendance throughout.

11. Special Session on Intelligence Computation for Trusted Computing
Organizers: Xiaomin Hu (hxmqwe@yahoo.com.cn), SUN Yat-sen University, China. Jun ZHANG(junzhang@ieee.org), City University of Hong Kong & SUN Yat-sen University

Trusted computing encompasses the technology to design and maintain components so that it can protect systems from subversion and potential attacks. It provides a computation platform on which intruders cannot access to the software while the owners can securely use them, and the security levels of the application software can be estimated to decide whether it is safe to run. In order to protect frontal attacks, the system must be more trustable, so that the software it trusts will be more convincing. However, the realization of the leading trusted computing has a high cost. The approach trusted computing used must be feasible, but in fact, it is always mathematically intractable to analyze and verify all the software to determine whether its behavior is benign. Artificial Intelligence has presented a promising future in solving a variety of real-world problems efficiently and effectively. The typical representatives in AI are many heuristic algorithms, including tabu search, neural network, fuzzy logic, genetic algorithms and ant algorithms. Security is needed in daily life, and trusted computing will pervade everywhere. Systems will be able to recognize the surrounding situations, and modify their functionality dynamically. As all will depend on electronic means to store and exchange information in the future, so now it needs to take advantages of artificial intelligence.
This special session aims at implementing intelligence computing methods in trusted computing to make it more sensible and intelligent to potential attacks and violence. The workshop will contain some invited presentations. The workshop seeks workshop proposal submissions (consisting of a paper) on all theoretical and practical aspects of trusted computing, as well as experimental studies including, but not limited to, those shown below:

12. Special Session on Bio-Oriented and Bio-Inspired Information Systems
Organizer: Soo-Young Lee(sylee@kaist.ac.kr), Brain Science Research Center and Department of BioSystems, KAIST, Rep. of Korea 

Recently two important applications emerge from intelligent computing technology to combine biology and information systems. The bio-oriented information systems utilize information technology for biological goals, which include bioinformatics, computational biology, and lab-on-a-chip. The bio-inspired intelligent systems try to develop intelligent systems based on functional mechanism of biology, which include neural networks, artificial brain, and bio-mimetic devices. Although these two have quite different applications, they both need combine biological science and information technology. In this special session we would like to discuss how the biological science and information technology have been integrated and what actual applications have been developed. We will also report a case study of a new education program, Department of BioSystems at KAIST, to combine biology and information technology.

13. Special Session on Intelligent Computing for Agile Manufacturing Systems
Organizer: Ding-zhong Feng (gfx456@163.com or feng@ashitech.ac.jp), Department of Industrial and Information Systems Engineering
Ashikaga Institute of Technology, Ashikaga, 326-8558, Japan

With the globalization of economic markets and the individuality of market demands, today's manufacturing industry is being in an intensely competitive environment in which the factors that affect global markets are variable and unpredictable. Products' manufacturing tends to mass customization which means producing products or providing services according to customers' demands. And the life cycle of products becomes shorter and shorter. This requires that enterprises should have high flexibility so as to quickly respond market changes. Therefore, today's industry world is considerably interested in agile manufacturing (AM). It is regarded as an advanced manufacturing model for wining competitions and gaining more profits for this century.
Agile manufacturing emphasizes the importance of strategic alliances to quickly and effectively respond to customers' requirement, and to design, manufacture, test and deliver high-quality, competitively-priced products to global markets in a shortest time. It features the integration of all support systems for product and process specification, production planning and scheduling, material handling and tracking, etc. Its operation mechanism is based on a suitable strategic alliance with core competencies, that is, virtual enterprise (VE).
On the other hand, multi-agent system (MAS), as a particular type of distributed intelligent systems, inhabits a world with no global control or globally consistent knowledge. In a multi-agent system, each agent has its own goal and a certain capacity for action.
Since agile manufacturing system is composed of distributed, heterogeneous and autonomous components, it can be appropriately modeled by MAS. Actually, intelligent computing (particularly based on MAS) for operational management of agile manufacturing system is being more and more emphasized recently. This special session is set up just for the tendency and purpose. It aims to promote the application of intelligent computing to agile manufacturing systems.

14. Special Session on Networked Control Systems
Organizers: Minrui Fei (mrfei@staff.shu.edu.cn) and Lixiong Li (xli@staff.shu.edu.cn), School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072, China

In recent years, the rapid growth of communication networks provides many opportunities for control systems, and a large amount of interests have been focused on the Networked Control Systems (NCSs) wherein the control loops are closed through a real-time network. The insertion of the communication network in the control loop makes the analysis and design of the control system complex. As a result, the primary challenge in NCSs is to study the negative aspect caused by communication network, especially the network-induced delays, improve control performance and guarantee system stability.

There are many conferences related with the field of NCSs, for example American Control Conference (ACC), IEEE International Conference on Networking, Sensing and Control (ICNSC), IEEE International Conference on Robotics and Automation 2005 (ICRA) and ACM Special Interest Group on Data Communications (SIGCOMM). Furthermore, special session related with NCSs is available in some important conferences, such as IEEE Conference on Decision and Control (CDC) & European Control Conference 2005 and International Conference on Integrated Modeling & Analysis in Applied Control & Automation (IMAACA) 2004. In addition, special issue on NCSs can be found in some first class international research journals, including IEEE Control Systems Magazine and IEEE Transactions on Automatic Control

The proposed session focuses on the relationships between controls and networks in the perspective of adopting control based methodologies either to improve network performance, or to enhance control performance over the networks. Addressed topics include: conventional and intelligent control theories used in NCSs, identification loop closed through communication network, latest communication network technologies in control systems, case study and practical application of NCSs. In the organisers' opinion, the right ingredients for an interesting session that promises lively discussions and a good attendance throughout.

15. Special Session on Intelligence Learning With Emotional Function and E-Learning Application

Organizer: Professor Dong Hwa Kim kimdh@hanbat.ac.kr), Department of Instrumentation and Control Engineering, Hanbat National University, Daejeon, South Korea.

In this session we wish to explore topics related to the theory and practical applications of various intelligence learning paradigms for education and emotional system. Papers presenting new theoretical work are particularly sought. Philosophical papers discussing foundational issues are also suitable for inclusion. The list of topics includes but is not restricted to:

Intelligence Learning With Emotional Function and E-Learning Application Basic Theory