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List of Invited Sessions:
| 1. |
Ontology-based Information Systems
Prof Jason J. Jung, Korea
|
(pdf) |
| 2. |
Web-based and Mobile Recommender Systems
Prof Ngoc-Thanh Nguyen, Poland
Dr Janusz Sobecki, Poland |
(pdf) |
| 3. |
Applied Intelligent Systems
Prof Dariusz Krol, Poland
Dr Boguslaw Szlachetko, Poland
Dr Michal Lower, Poland |
(pdf) |
| 4. |
Applications of Intelligent Systems
Prof Shyi-Ming Chen, Taiwan
|
(pdf) |
| 5. |
Fuzzy Systems
Prof Shyi-Ming Chen, Taiwan |
(pdf) |
| 6. |
Intelligent Systems for Robotics, Control and Image Processing
Prof Chih-Min Lin, Taiwan
|
(pdf) |
| 7. |
Machine Learning for Computational Biology
Dr. Yufei Huang, USA
Dr. Yufang Jin, USA |
(pdf) |
| 8. |
Information Security, Privacy and Machine Learning
Prof. Sos Agaian, USA
Prof. C. L. Philip Chen, USA |
(pdf) |
| 9. |
Machine Learning and its applications in bioinformatics
Mr. Nicolas Cebron, Germany
Prof. Michael R. Berthold, Germany
Prof. Hong Yan, Hong Kong |
(pdf) |
| 10. |
Biologically-motivated computation for machine learning and pattern recognition
Prof. Il-Seok Oh, Korea |
(pdf) |
| 11. |
Computational Intelligence for Image Processing and Pattern Recognition
Dr. Qian Yin, China
Prof. Ping Guo, China |
(pdf) |
| 12. |
Intelligent Multimedia Data Analysis
Prof. Pankoo Kim, Korea |
(pdf) |
| 13. |
Logistics and Inventory Supply Chain Management
Prof. Hui-Ming Wee, Taiwan |
(pdf) |
| 14. |
Multisensor Information Fusion and Its Applications
Dr. Quanbo Ge, China |
(pdf) |
| 15. |
Machine Learning Applications
Prof. Tzung-Pei Hong, Taiwan
Prof. Shyue-Liang Wang, Taiwan |
(pdf) |
| 16. |
Intelligence Techniques for System Reliability
Dr. Che-Sau Chang, Singapore
Ms. Fan Yang, Singapore |
(pdf) |
| 17. |
Innovation and Applications of Soft Computing Methods
Prof. Huey-Ming Lee, Taiwan
Prof. Junzo Watada, Japan
Prof. Lily Lin, Taiwan |
(pdf) |
| 18. |
Computational Intelligence in Complex Systems and Behavior
Prof Honghua Tan, China
Mr Qi Luo, China |
(pdf) |
| 19. |
Service-oriented E-Service
Prof Wei Li, China
Prof Anind K. Dey, USA |
(pdf) |
| 20. |
Intelligent and Ubiquitous Computing
Dr Feng Xiong, China
Dr Bing Wu, UK |
(pdf) |
| 21. |
Image Processing and Pattern Recognition
Dr Melody Z. W. Liao, China
Prof Yuan Y. Tang, Hong Kong |
(pdf) |
| 22. |
Intelligent Techniques and the Applications
Prof Loi Lei Lai, United Kingdom |
(pdf) |
| 23. |
Information Security
Dr Xiaodong Zuo, China
Dr Dacheng Tao, China
Dr Jialie Shen, Singapore
Dr Kaiqi Huang, China
Dr Yuan Yuan, U.K. |
(pdf) |
| 1. Ontology-based Information Systems |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interesting in ontology-based information systems. Researchers from these areas are encouraged to submit proposals to present their work related to ontology and ontology-based applications. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Keywords: |
Ontology; Semantic Web; Ontology mapping (and alignment) |
| Submission Topics: |
| - |
Ontology management (mapping, alignment, and matching) |
| - |
Semantic business integration |
| - |
Ontology-based application |
| - |
Semantic Web |
| - |
Other related topics |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (j2jung@gmail.com) on or before 1st March, 2008 |
| Organizers: |
Prof. Jason J. Jung
Department of Computer Engineering,
Yeungnam University
Dae-Dong, Gyeungsan 712-749, Korea
Tel:+ 82-53-8103534
Email:j2jung@gmail.com, j2jung@intelligent.pe.kr |
| Back to the Top |
| 2. Web-based and Mobile Recommender Systems |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interesting in recommender systems. Researchers from different areas of recommender systems methodology and applications are encouraged to submit proposals to present their work related to fuzzy systems. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| - |
E-learning in the web environment |
| - |
Hyperlink recommendation |
| - |
Information retrieval and filtering |
| - |
Mobile recommender systems |
| - |
Personal agent |
| - |
Personalization processes |
| - |
Product recommendation |
| - |
User interface recommendation |
| - |
Web browsing |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (thanh@pwr.wroc.pl) on or before 1st March, 2008 |
| Organizers: |
Prof Ngoc-Thanh Nguyen
Institute of Information Science and Engineering
Wroclaw University of Technology
Wyb. Wyspianskiego 27, 50-370 Wroclaw Poland
Tel:+48-71-3204139
Fax:+48-71-3203884
Email:thanh@pwr.wroc.pl
Dr Janusz Sobecki
Institute of Applied Informatics
Wroclaw University of Technology
Wyb. Wyspianskiego 27, 50-370 Wroclaw Poland
Tel:+ 886-2-27376417
Fax:+ 886-2-27301081
Email:sobecki@pwr.wroc.pl |
| Back to the Top |
| 3. Applied Intelligent Systems |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interesting in Applied Intelligent Systems. Researchers from these areas are encouraged to submit proposals to present their work related to intelligent systems. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Keywords: |
Adaptive systems, Fuzzy systems, Expert systems, Control systems, Neural Networks, Genetic Algorithms, Evolutionary Control, Multi-agent systems, Natural language processing, Speech processing |
| Submission Topics: |
| - |
Adaptive systems |
| - |
Reconfigurable computing |
| - |
Computational intelligence |
| - |
Hybrid intelligent systems |
| - |
Intelligent agents and control |
| - |
Multi-sensors systems |
| - |
Natural language processing |
| - |
Speech synthesis and recognition |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (Dariusz.Krol@pwr.wroc.pl) on or before 1st March, 2008 |
| Organizer: |
Prof. Dariusz Krol
Institute of Applied Informatics,
Wroclaw University of Technology,
Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland
Tel:+48 71 320 32 58
Fax:+48 71 320 34 55
Email:Dariusz.Krol@pwr.wroc.pl
Dr. Boguslaw Szlachetko
Institute of Telecommunication,
Teleinformatics and Acoustics,
Wroclaw University of Technology
Email:Boguslaw.Szlachetko@pwr.wroc.pl
Dr. Michal Lower
Institute of Computer Engineering,
Automation, and Robotics,
Wroclaw University of Technology
Email:Michal.Lower@pwr.wroc.pl |
| Back to the Top |
| 4. Applications of Intelligent Systems |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interesting in intelligent systems. Researchers from these areas are encouraged to submit proposals to present their work related to intelligent systems. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| - |
Neural nets and support vector machines |
| - |
Intelligent and knowledge based systems |
| - |
Intelligent agent |
| - |
Inductive learning |
| - |
Intelligent control |
| - |
Sample and feature selection |
| - |
Evolutionary computation |
| - |
Data Mining |
| - |
Computer Security |
| - |
Intelligent Systems |
| - |
Other related topics |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (smchen@mail.ntust.edu.tw) on or before 1st March, 2008 |
| Organizers: |
Prof. Shyi-Ming Chen
Department of Computer Science and Information Engineering,
National Taiwan University of Science and Technology,
Taiwan
Email:smchen@mail.ntust.edu.tw |
| Back to the Top |
| Description: |
The goal of this invited session is to bring together researchers interesting in fuzzy systems. Researchers from these areas are encouraged to submit proposals to present their work related to fuzzy systems. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| - |
Fuzzy interpolative reasoning |
| - |
Fuzzy data mining |
| - |
Fuzzy time series |
| - |
Fuzzy forecasting |
| - |
Fuzzy expert systems |
| - |
Fuzzy neural networks |
| - |
Other related topics |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (smchen@mail.ntust.edu.tw) on or before 1st March, 2008 |
| Organizers: |
Prof. Shyi-Ming Chen
Department of Computer Science and Information Engineering,
National Taiwan University of Science and Technology,
Taiwan
Email:smchen@mail.ntust.edu.tw |
| Back to the Top |
| 6. Intelligent Systems for Robotics, Control and Image Processing |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interested in intelligent systems for robotics, controls and image processing. Researchers from these areas are encouraged to submit paper to present their work related to above topics. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| - |
Fuzzy system |
| - |
Neural network |
| - |
Cerebellar model articulation controller |
| - |
Genetic algorithm |
| - |
Robotics |
| - |
Control systems |
| - |
Image processing |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (cml@saturn.yzu.edu.tw) on or before 1st March, 2008 |
| Organizers: |
Prof. Chih-Min Lin
Department of Electrical Engineering,
Yuan-Ze University,
Taiwan
Email:cml@saturn.yzu.edu.tw |
| Back to the Top |
| 7. Machine Learning for Computational Biology |
(pdf) |
| Description: |
The special session seeks contributions that apply machine learning in high throughput biological data analysis and biological system simulation. Emphasis will be given but not limited to: biomarker discovery based on expression microarray and/or proteomics data, miRNA and miRNA target identification, gene network and pathway reengineering and analysis, genetic system simulation and control, elucidation of the relationship of network topology and biological function. |
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (yufei.huang@utsa.edu) on or before 1st March, 2008 |
| Organizers: |
Dr. Yufei Huang
Department of Electrical and Computer Engineering,
University of Texas at San Antonio,
USA
Email:yufei.huang@utsa.edu
Dr. Yufang Jin
Department of Electrical and Computer Engineering,
University of Texas at San Antonio,
USA
Email:yufang.Jin@utsa.edu |
| Back to the Top |
| 8. Information Security, Privacy and Machine Learning |
(pdf) |
| Description: |
The special session is an international forum for the exchange of new ideas and practical experience in all aspects of security, privacy and assurance in information and multimedia systems (SPAIM) and intelligent communication systems. This Session will serve as a broad multi-disciplinary forum for SPAIM related issues and seeks submissions from academia and industry describing novel research results that cover theoretical and practical advancements in the entire areas of SPAIM systems and intelligent communications systems. In addition, the organizers especially encourage submissions on topics such as security, privacy, management and assurance in information systems, transmission and detection of sensitive information via communication systems, document identification, forensics analysis of information hiding, combined encryption and hiding schemes and methods for SPAIM applications. |
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (Sos.Agaian@utsa.edu) on or before 1st March, 2008 |
| Organizers: |
Prof. Sos Agaian
Department of Electrical and Computer Engineering,
University of Texas at San Antonio,
USA
Email:Sos.Agaian@utsa.edu
Prof. C. L. Philip Chen
Department of Electrical and Computer Engineering,
University of Texas at San Antonio,
USA
Email:Philip.Chen@utsa.edu |
| Back to the Top |
| 9. Machine Learning and its applications in bioinformatics |
(pdf) |
| Description: |
The goal of this session is to bring together researchers interested in machine learning methods in the field of bioinformatics. Researchers from these areas are encouraged to submit proposals to present their work.
The development of new automated screening devices has led to a vast amount of unlabeled data that needs to be classified. Often, the help of a human expert is necessary to classify this data. This calls for interactive systems that try to learn a concept with the help of a human expert. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| - |
Inductive learning in bioinformatics |
| - |
Active learning in bioinformatics |
| - |
Ensemble methods in bioinformatics |
| - |
Interactive systems in bioinformatics |
| - |
Clustering methods in bioinformatics |
| - |
Applications in biology |
| - |
Other related topics in bioinformatics |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (nicolas.cebron@uni-konstanz.de) on or before 1st March, 2008 |
| Organizers: |
Mr. Nicolas Cebron
Department of Computer and Information Science
University of Konstanz
BOX M712
78457 Konstanz
Germany
Email:nicolas.cebron@uni-konstanz.de
Tel:+49 7531 88-4719
Fax:+49 7531 88-5132
Prof. Michael R. Berthold
Department of Computer and Information Science
University of Konstanz
BOX M712
78457 Konstanz
Germany
Email:michael.berthold@uni-konstanz.de
Tel:+49 7531 88-2202
Fax:+49 7531 88-5132
Prof. Hong Yan
G6618, Academic Building
City University Hong Kong
Hong Kong
Email:h.yan@cityu.edu.hk
Tel:+852-2788-7375
Fax:+852-3010-1998 |
| Back to the Top |
| 10. Biologically-motivated computation for machine learning and pattern recognition |
(pdf) |
| Description: |
The biologically-motivated computation is now popular in many practical applications. Many different ways of using the principle of biological phenomena are available and many different implementations of them are being used in the machine learning and pattern recognition fields. The session aims at bringing together researchers in the above-mentioned areas and disseminating the up-to-date research results. |
| Submission Topics: |
| - |
Genetic algorithm |
| - |
Ant colony optimization |
| - |
Particle swarm optimization |
| - |
Artificial immune system |
| - |
Classification and clustering |
| - |
Regression |
| - |
Optimal searching |
| - |
Feature extraction and selection |
| - |
Other related topics |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (isoh@chonbuk.ac.kr) on or before 1st March, 2008 |
| Organizers: |
Prof. Il-Seok Oh
Division of Electronics and Information Engineering,
Chonbuk National University
Deokjin-dong 664-14
Jeonju, Chonbuk, Korea
Email:isoh@chonbuk.ac.kr
Tel:+82-63-270-3401 |
Back to the Top
| 11. Computational Intelligence for Image Processing and Pattern Recognition |
(pdf) |
| Description: |
Computational intelligence (CI) techniques involve different methodologies, e.g. fuzzy set theory, artificial neural networks, evolutionary computing and rough set theory. These techniques to incorporate imprecision and incomplete information make them a useful tool in modelling complex systems and providing wide applications. Image Processing and Pattern Recognition are most interested aspects in applications. This session will focus on the problems and applications that deal with the Image Processing and Pattern Recognition using CI techniques.
|
| Keywords: |
Computational Intelligence, Image Processing, Pattern Recognition |
| Submission Topics: |
| - |
Neural Networks |
| - |
Fuzzy Logic |
| - |
Rough Set Theory |
| - |
Evolutionary Algorithms |
| - |
Swarm Intelligence |
| - |
Granular Computing |
| - |
Data Mining Techniques |
| - |
Adaptive Computing Systems |
| - |
Knowledge Based Systems |
| - |
Machine Learning Techniques |
| - |
Hybrid Intelligent Systems |
| - |
Support Vector Machine |
| - |
Motion Tracking |
| - |
Feature Extraction |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (yinqian@yahoo.cn) on or before 1st March, 2008 |
| Organizers: |
Dr. Qian Yin
Image Processing and Pattern Recognition Laboratory,
College of Information Science and Technology, Beijing Normal University, Beijing 100875, China
Tel:+8610-58800435
Fax:+8610-58809444
Email:yinqian@yahoo.cn
Prof. Ping Guo
Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing 100875, China
Tel:+8610-58800441
Fax:+8610-58809444
Email:pguo@ieee.org |
| Back to the Top |
| 12. Intelligent Multimedia Data Analysis |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interested in intelligent multimedia data analysis. Researchers from these areas are encouraged to submit proposals to present their work related to following topics. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| - |
Semantic Multimedia Data Processing |
| - |
Multimedia Data Retrieval Systems |
| - |
Multimedia Data Management Systems and Applications |
| - |
Multimedia Data Security |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (pankoo@chosun.ac.kr) on or before 1st March, 2008 |
| Organizers: |
Prof. Pankoo Kim
Department of Computer Engineering,
Chosun University
Seosukdong Gwangju 501-759, KOREA
Tel:+82-62-230-7636
Email:pankoo@chosun.ac.kr |
| Back to the Top |
| 13. Logistics and Inventory Supply Chain Management |
(pdf) |
| Description: |
Global competitiveness and advanced information technology have resulted in the importance of logistics and inventory supply chain management (SCM). Companies now compete based on the efficiency of SCM rather than performance objectives such as price and quality. Logistics and inventory control have become key strategic components to develop a cost effective global supply chain in order to meet the increasing needs of customers in terms of flexibility, responsiveness and cost.
The aim of this invited session is to encourage researchers to investigate the processes involved in inventory SCM decisions and logistics. It is intended that contributions will provide a better understanding on modelling and analysis associated with global supply chains.
The invited session will encourage researchers to develop analytic models for various inventory supply chain decisions in a global supply chain. Emphasis will be placed on inventory modelling and performance measurement in a global supply chain. The application of operations research techniques will be explored. The prime objective of the invited session is to encourage original works that demonstrates the application of operations research/management techniques.
|
| Keywords: |
Logistics, Supply chains, Inventory |
| Submission Topics: |
| - |
Developing strategic logistic decisions |
| - |
Modeling of perishable inventory models |
| - |
Evaluating supply chain inventory models |
| - |
Collaborative supply chain inventory and logistics systems |
| - |
Financial appraisal of various logistics and inventory decisions |
| - |
Cost and risk considerations in supply chain management |
| - |
Deteriorating inventory model with partial backordering |
| - |
Stochastic supply chain inventory models |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (weehm@cycu.edu.tw) on or before 1st February, 2008 |
| Organizers: |
Prof. Hui-Ming Wee
Industrial Engineering Department, Chung Yuan Christian University
Chung Pei Road, Chungli, Taiwan
Tel:886-3-2654409
Email:weehm@cycu.edu.tw |
| Back to the Top |
| 14. Multisensor Information Fusion and Its Applications |
(pdf) |
| Description: |
Motivated by the fast development of information technology and sensor technology, plenty of large-scale distributed multisensor systems are emerging continuously. The components in these systems are typically spatially distributed, may operate in an asynchronous manner, but have their operation coordinated to achieve desired overall objectives. Accordingly, Multisensor Information Fusion (MIF) is extensively used in many military and civil fields such as target tracking, image processing, economy analysis, robot, sensor networks, navigation and positioning, and electric power etc.
By means of information fusion, different sources of information are combined to improve the performances of a system. In order to collect the data from local sensors, wireless sensor networks are used widely to transmit information from local sensor nodes to the sink node. However, many constraints are introduced because of the distributed structure and the use of sensor networks such as asynchronous sampling, data delay, packet dropout, limited communication bandwidth, the configuration and dynamic topology for sensor networks and so on. The research of MIF faces many difficulties for these constraints. In addition, it is a great challenge for MIF because various fields are paying more attention to information fusion. The current state of the art of such research is the subject of this invited session of multisensor information fusion and its applications. |
| Keywords: |
Information Fusion, Asynchronous system, distributed and centralized fusion, wireless sensor networks, constraints, Kalman filter |
| Submission Topics: |
| - |
Asynchronous fusion |
| - |
Data fusion of delayed systems |
| - |
Target tracking |
| - |
Information fusion with network-induced constraints |
| - |
Sensor Networks and Intelligent robot |
| - |
Integrated navigation and positioning |
| - |
Image processing and fusion |
| - |
Economic analysis and other related applications |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (QuanboGe@163.com) on or before 1st March, 2008 |
| Organizers: |
Dr. Quanbo Ge
College of Automation, Hangzhou Dianzi University
Xiasha High Education Zone, Hangzhou, Zhejiang, P.R.China
Tel:+86-571-86915193
E-mail:QuanboGe@163.com |
| Back to the Top |
| 15. Multisensor Information Fusion and Its Applications |
(pdf) |
| Description: |
In the past decades, methodologies based on Artificial Intelligence (AI) and Machine Learning (ML) have received great attention. This session focuses on the current development of Machine Learning, Soft Computing and their applications in solving real problems. Researchers are encouraged to submit papers to present their work related to this theme. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| - |
Machine Learning |
| - |
Data Mining |
| - |
Regression |
| - |
Optimization |
| - |
Design Automation |
| - |
Evolvable Hardware |
| - |
Robotics & Computer Vision |
| - |
Hybrid Intelligent Systems |
| - |
Internet Applications |
| - |
Applications to Real Problems |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (slwang@nuk.edu.tw) on or before 1st March, 2008 |
| Organizers: |
Prof. Tzung-Pei Hong
Department of Computer Science and Information Engineering,
National University of Kaohsiung,
No. 700, Kaohsiung University Road, Nan-Tzu District
Kaohsiung 811, Taiwan
Tel:+886+7+5919028
Fax:+886+7+5919158
Email:tphong@nuk.edu.tw
Prof. Shyue-Liang Wang
Department of Information Management,
National University of Kaohsiung,
No. 700, Kaohsiung University Road, Nan-Tzu District
Kaohsiung 811, Taiwan
Tel:+886+7+5919028
Fax:+886+7+5919158
Email:slwang@nuk.edu.tw |
| Back to the Top |
| 16. Intelligence Techniques for System Reliability |
(pdf) |
| Description: |
System reliability is a major challenge in system design and operation. Unreliable systems are not only major source of user frustration, they are also costly. Assessing and improving system reliability involve multidisciplinary research areas that touch upon a wide range of intelligent techniques (e.g. Knowledge-Based Systems, Expert Systems, Artificial Neural Networks, Fuzzy Techniques, Evolutionary Computing, Knowledge Discovery and Data Mining, etc.). Many methods have been developed with varying degrees of success. This special session aims to draw together best researchers in this field to share their successful experience. We welcome novel algorithms, creative ideas, the state-of-art technologies and applications in system reliability. |
| Submission Topics: |
| - |
Forecasting models and systems |
| - |
Fuzzy system |
| - |
Neural network |
| - |
Evolutionary computation |
| - |
Expert system |
| - |
Hybrid approaches |
| - |
Real world applications in system reliability |
| - |
Other related topics |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (yang_fan@nus.edu.sg) on or before 1st March, 2008 |
| Organizers: |
Dr. Che-Sau Chang
E4-05-32,
Department of Electrical and Computer Engineering,
Engineering Drive 3, National University of Singapore
117576, Singapore
Tel:(0065)6516 6543
Email:eleccs@nus.edu.sg
Ms. Fan Yang
WS2-05-21, Power Systems Lab,
Engineering Drive 3, National University of Singapore,
117576, Singapore
Tel:(0065)65162136
Fax:(0065)65162136
Email:yang_fan@nus.edu.sg
|
| Back to the Top |
| 17. Innovation and Applications of Soft Computing Methods |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interested in innovation and applications of soft computing such as fuzzy systems, chaos systems, neural networks, genetic algorithms, and so on. Researchers from these areas are encouraged to submit proposals to present their work related to soft computing. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| - |
Reasoning |
| - |
Data and text mining |
| - |
Web mining |
| - |
Time series data analysis |
| - |
Forecasting |
| - |
Expert systems |
| - |
Biological computation |
| - |
Engineering management |
| - |
Innovation and applications of soft computing |
| - |
Other related topics and their applications |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (hmlee@faculty.pccu.edu.tw / junzow@osb.att.ne.jp / lily@cute.edu.tw) on or before 1st March, 2008 |
| Organizers: |
Prof Huey-Ming Lee
Dept.of Information Management
Chinese Culture University
55, Hwa-Kung Road, Yang-Ming-San,
Taipei (11114) Taiwan
Tel:+886-937-893-845
Email:hmlee@faculty.pccu.edu.tw
Prof Junzo Watada
Graduate School of IPS
Waseda University
2-7 Hibikino, Wakamatsuku, Kitakyushu,
808-0135 JAPAN
Phone and Fax:+81-93-692-5179
Email:junzow@osb.att.ne.jp
Prof Lily Lin
Dept. of International Trade
China University of Technology, Taipei, Taiwan
Email:lily@cute.edu.tw |
| Back to the Top |
| 18. Computational Intelligence in Complex Systems and Behavior |
(pdf) |
| Description: |
The session on computational intelligence in complex systems and behavior provides an opportunity for researchers, engineers and practitioners to present the latest research results, innovations, and potential future directions in computational intelligence in complex systems. An emphasis of the session will be on complex systems and behavior including innovative usage of computational intelligence in robotics and system. |
| Submission Topics: |
| - |
Evolutionary robotics |
| - |
Sensor fusion |
| - |
Biologically inspired robotics |
| - |
Neural networks in complex systems |
| - |
Evolutionary computing in complex systems |
| - |
Soft computing in complex systems |
| - |
Genetic algorithms in complex systems |
| - |
Adaptive and learning control |
| - |
Agent technology in complex systems |
| - |
Complex behaviors |
| - |
Machine learning in complex systems |
| - |
Human machine interaction |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (whluo2008@gmail.com) on or before 1st March, 2008 |
| Organizers: |
Prof. Honghua Tan
Wuhan Institute of Technology,
China
Mr.
Qi Luo
College of Electrical and Electronic Engineering,
Wuhan Institute of Technology, Wuhan, 430073, China
Tel:+8627-65183434
Email:whluo2008@gmail.com |
| Back to the Top |
| 19. Service-oriented E-Service |
(pdf) |
| Description: |
The session focuses on IT infrastructures and new technologies to facilitate dynamic e-business and Web-based information systems. These include the design of distributed architectures and emerging technologies for developing advanced E-commerce systems as well as algorithmic and economic issues. Submissions of high quality papers describing mature results or on-going work are invited. |
| Submission Topics: |
| - |
Intellectual property and digital rights management |
| - |
Mobile commerce |
| - |
QoS support, workload monitoring and benchmarking |
| - |
Real-time Internet delivery technologies |
| - |
Business applications of grid technology |
| - |
Security, privacy and trust issues |
| - |
Electronic data interchange |
| - |
Web service computing and composition |
| - |
Transaction and workflow management |
| - |
IT service management |
| - |
Auction and negotiation technology |
| - |
Automated shopping, trading, and contracting |
| - |
Decision support and recommender systems |
| - |
Marketing and advertising technology |
| - |
Supply chain management and planning |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (zjnliwei@gmail.com) on or before 1st March, 2008 |
| Organizers: |
Prof. Wei Li
Zhejiang Normal University, China
Email:zjnliwei@gmail.com
Prof. Anind K. Dey
Carnegie Mellon University, USA |
| Back to the Top |
| 20. Intelligent and Ubiquitous Computing |
(pdf) |
| Description: |
We cordially invite you to attend the session on intelligent and ubiquitous computing. In today's globally competitive environment, effective intelligent and ubiquitous computing technologies allow new opportunities for users to be intensely connected. The session brings together researchers, academics and industry practitioners who are involved or interested in the design and development of intelligent and ubiquitous computing technologies. |
| Submission Topics: |
| - |
Mobile and Wireless Communications |
| - |
Database and Data Mining |
| - |
Security, Privacy and Trust |
| - |
Pervasive Applications |
| - |
Agent and Intelligent Computing |
| - |
Service and Semantic Computing |
| - |
Grid, P2P and Scalable Computing |
| - |
Dependable, Reliable and Autonomic Computing |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (fengxiong1970@yahoo.cn) on or before 1st March, 2008 |
| Organizers: |
Dr. Feng Xiong
Ningbo University, China
Email:fengxiong1970@yahoo.cn
Dr. Bing Wu
Loughborough University, UK |
| Back to the Top |
| 21. Image Processing and Pattern Recognition |
(pdf) |
| Description: |
Image Processing and Pattern Recognition are two important fields in computer science. Although having a long history in research, computer scientists and engineers still pay more attention on the new ideas of these fields. This invited session will provide an international forum for the participants to share knowledge, experience and new ideas and future trends in the fields. |
| Keywords: |
Image Processing, Pattern Recognition |
| Submission Topics: |
| - |
Image matching |
| - |
Image segmentation |
| - |
Watermarking |
| - |
Optical character recognition |
| - |
Feature extraction |
| | | | | | | |
