Keynote Speeches

The objectives of this chapter are twofold: firstly to introduce DNA computation, and secondly to demonstrate how DNA computing can be applied to solve large, complex combinatorial problems, such as the optimal scheduling of a group of elevators servicing a number of floors in a multi-storey building. Recently, molecular (or wet) computing has been widely researched not only within the context of solving NP-complete/NP-hard problems that are the most difficult problems in NP, but also implementation by way of digital (silicon-based) computers [21]. We commence with a description of the basic concepts of "wet computation" , then present recent results for the efficient management of a group of elevators.
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I Education Dr. Junzo Watada was born at Osaka in 1945. He received his B.S. and M.S. degrees in electrical engineering from Osaka City University, Japan, and Dr. of Eng. degree by the research on fuzzy multivariate analysis from Osaka Prefecture University, Osaka, Japan.
II Profession He is a Professor of Management Engineering at Graduate School of Information, Production & Systems, Waseda University since 2003, after having contributed for 13 years as a professor of Human Informatics and Knowledge Engineering, to the School of Industrial Engineering at Osaka Institute of Technology, Japan. He had been with Faculty of Business Administration, Ryukoku University for 8 years. Before moving to Academic, he was with Fujitsu Ltd. Co., where he worked on development of software systems as a senior system engineer for 7 years.
III Research Interests His research interests are very broad including fuzzy system methodologies for data analysis, decision support systems and experts systems, financial engineering, macro-ergonomics. Recently he works actively on intelligent systems, genetic algorithms, neural networks, DNA computing, and so on. Especially he contributes in developing soft-computing methodologies for financial engineering and fuzzy multivariate analysis for analysis of economics and corporations, including facility assess management and brand strategy. Also, he works on economical analysis of information technology industries in various countries and on survey and analysis of company management. Dr. Watada has developed fuzzy production function, fuzzy AR time-series analysis and fuzzy multivariant analyses, and applied them to economical analysis. Recently he applies DNA computing to the optimal parts allocation problem for Robot manufacturing and DNA informatics.
IV International Cooperation He is a member of IFSA working committee, an advisory board of BISC Group, BISC Special Interest Group in Philosophy of Soft Computing , Helsinki University, Finland since 1996, an advisory board of Journal of Centre for Artificial Intelligence and Robotics, Malaysia since 1996, member of Czech-Japan Research Cooperation since 1998, a founding member, Japanese-Hungarian Integrated Intelligent Systems Laboratory(IISL) in Budapest, Hungary.
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Forecasting activities play an important role in our daily life. We usually forecast many things concerned with our daily life, such as weather, economy, stock market, population growth, ¡K, etc. Based on these forecasting techniques, we can prevent damages to occur or get benefits from the forecasting results. A drawback of traditional forecasting methods is that they can not deal with forecasting problems in which the historical data are represented by linguistic values. In recent years, some researchers used fuzzy time series to handle forecasting problems. In this talk, we present some methods to handle forecasting problems based on fuzzy time series and genetic algorithms. The proposed methods get higher average forecasting accuracy rates than the existing methods.

I Education Dr. Shyi-Ming Chen was born on Taipei, Taiwan, in 1960. He received his Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991.
II Profession He is a Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. He has published over 280 papers in referred journals, conference proceedings and book chapters. He is an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics - Part A, an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics - Part C, an Associate Editor of the IEEE Transactions on Fuzzy Systems, an Associate Editor of the IEEE Computational Intelligence Magazine, an Associate Editor of the International Journal of Applied Intelligence, an Associate Editor of the Journal of Intelligent & Fuzzy Systems, an Associate Editor of the International Journal of Artificial Intelligence Tools, an Associate Editor of the International Journal of Pattern Recognition and Artificial Intelligence, an Editor of the New Mathematics and Natural Computation Journal, an Associate Editor of the International Journal of Fuzzy Systems, an Editorial Board Member of the International Journal of Information and Communication Technology, an Editorial Board Member of the WSEAS Transactions on Systems, an Editor of the Journal of Advanced Computational Intelligence and Intelligent Informatics, an Associate Editor of the WSEAS Transactions on Computers, an Editorial Board Member of the International Journal of Computational Intelligence and Applications, an Editorial Board Member of the Advances in Fuzzy Sets and Systems Journal, an Editor of the International Journal of Soft Computing, an Editor of the Asian Journal of Information Technology, an Editorial Board Member of the International Journal of Intelligence Systems Technologies and Applications, an Editor of the Asian Journal of Information Management, an Associate Editor of the International Journal of Innovative Computing, Information and Control, an Editorial Board Member of the International Journal of Computer Applications in Technology, an Associate Editor of the Journal of Uncertain Systems, an Editorial Board Member of the Advances in Computer Sciences and Engineering Journal, an Associate Editor of the International Journal of Intelligent Information and Database Systems, and an Editorial Board Member of the International Journal of Intelligent Computing and Cybernetics. He was an Editor of the Journal of the Chinese Grey System Association from 1998 to 2003.
III Research Interests His research interests include fuzzy systems, information retrieval, knowledge-based systems, artificial intelligence, neural networks, data mining, and genetic algorithms.
IV International Cooperation He is the President of the Taiwanese Association for Artificial Intelligence (TAAI), a Senior Member of the IEEE, an IET Fellow (Fellow of IEE), and a member of the Phi Tau Phi Scholastic Honor Society. He is a Board of Governors member of the IEEE System, Man, and Cybernetics Society, Co-Chair of the IEEE SMC's Technical Committee on Intelligent Internet Systems, and an IEEE Taipei Section Officer.

Binary data have been occupying a special place in the domain of data analysis. Analysis of binary data sets, however, generally leads to NP-complete/hard problems. Consequently, the focus here is on effective heuristics for reducing the problem size. Matrix factorization or genetic algorithms is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for factorization of real data but many application areas including information retrieval, social networks, formal concept analysis, pattern recognition and data mining require processing of binary rather than real data. Unfortunately, the methods used for real matrix factorization fail in the latter case. In this talk we introduce background for binary matrix factorization.

Dr. Vaclav Snasel was born on Tabor, Czech Republic, in 1957. He received his Ph.D. degree in Algebra and Geometry the Masaryk University Brno in 1991.
He is a Professor of Computer Science at the Department of Computer Science at VSB-Technical University of Ostrava, Czech Republic.
He has published over 300 papers in referred journals, conference proceedings and book chapters. He is an Editor-in-Chief of the International Journal of Grid and Utility Computing (IJGUC) and International Journal of Autonomic Computing (IJAC) and he has recently served as a member of program committees of a number of conferences and editorial board of journals. According to the Erd És Number Project, his Erd És number is 3.
His research interests include Data Compression and File Organization, Information Retrieval, Knowledge Management, Data Mining, and Genetic Algorithms.
He is Member of the IEEE, ACM, SIAM, and AMS.

The introduction of IPTV would firstly give a quick overview of global market development of IPTV, which is derived from the trend of digital convergence. Secondly, it provides a reference case review of Chunghwa Telecom's MOD services in Taiwan. Following the overview and reference, a live demo of innovative applications is included to provide audiences first-hand and direct experiences of next generation TV services. IPTV is a hot topic for telecom operators, content providers and major IT/ Telecom equipment vendors such as Cisco, Microsoft, Sony, Intel, Ericsson and Alcatel- Lucent...etc. From a snapshot of IPTV market and service, it delivers a general picture of what IPTV was, is and will be.

Alex Huang is the Vice President of the Multimedia Integration Division of HwaCom Systems Inc., who is also the spokesperson of HwaCom Systems. Inc..
With the extended experiences of sales and marketing in telecom industry while working for Ericsson, Alex Huang expands it into digital media business to catch the trend of convergence of Telecom, Datacom and Multimedia. Alex Huang defines strategies of IPTV business, develops R&D task forces & forms comprehensive alliances with key players in IPTV ecosystem.
Alex Huang joined HwaCom in 2004 as Sales Director. He was assigned as Country Manager of Streaming21 Inc. for Korea before joint HwaCom. He was employed by Ericsson via the manager candidate Program in 1999 and promoted as APAC Business manager in 2002.