banner
 
home  
topics of interest  
special sessions  
important dates  
information for authors  
publication  
electronic submission  
accepted papers  
venue  
venue & accomodation  
keynote speakers  
conference program  
program committee  
organizing committee  
previous conferences  
electronic registration  
conference photos  
related conferences  
     
keynote speakers
Prof. Shyi-Ming Chen

Title:

Handling Forecasting Problems Based on Two-Factors High-Order Fuzzy Time Series and Automatic Clustering Techniques

Abstract:

People often use forecasting techniques to predict something. Based on the forecasting results, we can prevent damages to occur or get benefits from the forecasts. In recent years, many researchers used fuzzy time series to handle forecasting problems. In this talk, we introduce two prediction methods, based on two-factors high-order fuzzy time series and automatic clustering techniques. Firstly, we introduce a method to predict temperature and the TAIFEX (Taiwan Futures Exchange) based on two-factors high-order fuzzy time series. Secondly, we present a method to deal with the temperature prediction and the TAIFEX prediction based on automatic clustering techniques and two-factors high-order fuzzy time series. The proposed methods get higher average forecasting accuracy rates than the existing methods. Finally, we provide some research directions, which are worth pursuing for future research.

Biography:

Dr. Shyi-Ming Chen is a Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. He received his Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. He is currently the President of the Taiwanese Association for Artificial Intelligence (TAAI). He has published over 280 papers in referred journals, conference proceedings and book chapters. His research interests include fuzzy systems, information retrieval, knowledge-based systems, artificial intelligence, neural networks, data mining and genetic algorithms. 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, and an Associate Editor of the International Journal of Innovative Computing, Information and Control. He is an IET Fellow (Fellow of IEE), a Senior Member of the IEEE, 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.

Prof. Ryszard Kowalczyk

Title:

Intelligent Agents in Adaptive Management of Service Oriented Systems

Download the presentation

Abstract:

This talk will address decentralised decision-making and negotiation capabilities of intelligent autonomous agents and their applications in managing service-oriented systems. The first part of the talk will introduce intelligent agents and service-oriented systems, and outline the context and motivation for the talk. Then different aspects of an agent-based approach for adaptive management of complex service provision on-demand in the Web/Grid environment will be presented. It includes distributed agent-based composition planning, service discovery through coalition formation, multi-party service level agreement negotiation, decentralised resource allocation, end-to-end quality-of-service monitoring, and exception handling through dynamic re-selection, re-negotiation and re-planning. They will be demonstrated with selected simple application scenarios in e-commerce trading, service contracting, applications on-demand, and supply network coordination. The concluding remarks will outline some open problems, further research and applicability of intelligent multi-agent systems in different service oriented domains including distributed resource allocation, virtual environments and peer-to-peer social networks.

Biography:

Proffesor Ryszard Kowalczyk has some 20 years of basic and applied R&D experience in intelligent systems, agent technology and service computing, and their applications in building and managing open, large-scale, distributed systems such as service-oriented systems, virtual enterprises, collaborative e-business and smart environments. He is the Foundation Director of the Swinburne's Centre for Information Technology Research (CITR) and a Full Professor of Intelligent Systems in the Faculty of Information & Communication Technologies, Swinburne University of Technology in Melbourne, Australia. Before joining the University in 2003, he spent several years with Commonwealth Scientific and Industrial Research Organisation (CSIRO) and corporate R&D divisions of multinational companies in Australia and overseas. Prof Kowalczyk has authored 4 patents and some 140 articles in refereed journals and conference proceedings, and served on a number of Editorial and Advisory Boards of international journals and organisations including IEEE SMC and IEEE FIPA WGs. He has successfully led more than 30 R&D projects funded by competitive grants and industry in excess of $17 million, delivering significant research and commercial benefits to industry partners. His past and current industry collaborators include Canon, IBM, Telstra, Vastpark, DSTO, SAP, Siemens and DaimlerChrysler. Recently he has been instrumental in establishing and leading a large EU-FP6 funded project on Adaptive Services Grid, and the largest AU-DEST funded project for international research collaboration in agent-based service oriented computing in Australia that is one of the largest single university based projects in that area internationally. He also leads Swinburne's SOC contribution in a new national Cooperative Research Centre on Smart Services.

Prof. Edward Szczerbicki

Title:

Smart Knowledge Management Platform: Toward Dwvelopment and Application of Decisional DNA

Download the presentation

Abstract:

Some of the most complicated issues regarding knowledge management are its acquisition and its conversion into explicit and usable knowledge. Thus, among all knowledge forms, storing decisional experience in a knowledge-explicit way becomes an important advance. We introduce the Decisional DNA as a reflexive knowledge structure able of capturing organizations' decisional fingerprints in the form of explicit decisional experience. The construction of Decisional DNA is a journey that starts with a decisional event. This decisional event is described by variables, functions, constraints and rules, elements that constitute the nucleotides of the Set of Experience Knowledge Structure (SOEKS). A SOEKS is an organized structure able to capture a single decisional event establishing a decisional gene. Once multiple decisional genes have been gathered, building decisional chromosomes becomes a collecting procedure. And consequently, having multiple decisional chromosomes lead to the construction of Decisional DNA of an organization. In addition, current implementations and future trends of the Decisional DNA would be presented through the introduction of emerging semantic technologies and applications that are necessary for the operation of Decisional DNA-based systems. Fully developed, the Decisional DNA as a reflexive knowledge structure certainly would improve the quality of decision-making, and could advance the notion of administering knowledge in the current decision making environment.

Biography:

Professor E Szczerbicki has had very extensive experience in the area of intelligent systems development over an uninterrupted 25 year period, 8 years of which he spent in the top systems research centres in the USA, UK, Germany and Australia. In this area he contributed to the understanding of information and knowledge management in systems operating in environments characterised by informational uncertainties. He has published over 250 refereed papers with more than 250 citations over the last 20 years. His DSc degree (1993) and the Title of Professor (2006) were gained in the area of information science for his international published contributions. Contribution to the Research Area of Intelligent Systems. The research of prof Szczerbicki contributes significantly to the area of smart information use in modelling and development of intelligent systems. With his papers published in the beginning of the nineties in "IEEE Transactions on SMC" he developed autonomous systems based on information processing for the purposes of intelligent decision support. This was his unique contribution to the emerging cross-disciplinary research area of smart information use for which information has a value, is treated as a resource, and is the basis for intelligent decision making. In 1999 he was invited to serve as a Board Member of International Academic Advisory Council for Natural and Artificial Intelligence Systems Organization (NAISO), Canada. He has given over 30 invited presentations and addresses at universities in Europe, USA and at international conferences. He is a Member of the Editorial Board/Associated Editor for 8 international journals. He chaired/co-chaired and acted as a committee member for numerous international conferences. He is a General Chair of International Symposium on Advances of Intelligent Systems and an Australian Chairman of an International Conference on Intelligent Processing and Manufacturing. He is a Vice Chair of the IFIP Working Group 7.6 on Complex Systems in Policy and Management and a Member of Berkeley Initiative in Soft Computing Special Interest Group on Intelligent Manufacturing.

Prof. Ning Zhong

Title:

Achieving Human Level Web Intelligence through Brain Informatics

Abstract:

The next major advances in artificial intelligence and Web intelligence are most likely to be brought by an in-depth unerstanding of human intelligence and its application in the design and implementation of systems with human-level intelligence. To prepare us ready for the great opportunity, this talk outlines a unified framework for the study of human-level Web intelligence (WI) by exploring the latest results from brain informatics (BI). This leads to a new research paradigm that combines the study of natural intelligence and the implementation of the brain inspired artificial intelligence systems. The long-term goal is to achieve human-level intelligence through the combination of research efforts in both WI and BI. While the Web and the Web-based intelligent systems provide a powerful new platform for supporting BI research, as well as testbeds and applications of BI, BI research provides foundations to WI research. The synergy between WI and BI advances our ways of analyzing and understanding of data, knowledge, intelligence and wisdom, as well as their inter-relationships, organization and creation process. With the recent achievements in both fields, we are much closer towards human-level Web intelligence.

Biography:

Ning Zhong received the Ph.D. degree in the Interdisciplinary Course on Advanced Science and Technology from the University of Tokyo. He is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Life Science and Informatics at Maebashi Institute of Technology, Japan. He is also director and an adjunct professor in the International WIC Institute (WICI), Beijing University of Technology. He has conducted research in the areas of knowledge discovery and data mining, rough sets and granular-soft computing, Web intelligence, intelligent agents, brain informatics, and knowledge information systems, with over 200 journal and conference publications and 20 books. He is the editor-in-chief of the Web Intelligence and Agent Systems journal (IOS Press), associate editor of IEEE Transactions on Knowledge and Data Engineering, and the Knowledge and Information Systems journal (Springer), a member of the editorial board of Transactions on Rough Sets (Springer), and the editorial board of Advanced Information and Knowledge Processing (AI&KP) book series (Springer), Frontiers in AI and Applications book series (IOS Press), Chapman&Hall/CRC Data Mining and Knowledge Discovery book series, and editor (the area of intelligent systems) of the Encyclopedia of Computer Science and Engineering (Wiley). He is the co-chair of Web Intelligence Consortium (WIC), chair of the IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), member of the steering committee of IEEE International Conferences on Data Mining (ICDM), vice chair of IEEE Computational Intelligence Society Technical Committee on Granular Computing, the steering committee of International Rough Set Society. He has served or is currently serving on the program committees of over 100 international conferences and workshops, including IEEE ICDM'02 (conference chair), IEEE ICDM'06 (program chair), IEEE/WIC WI-IAT'03 (conference chair), IEEE/WIC/ACM WI-IAT'04 (program chair), and IJCAI'03 (advisory committee member). He is a senior member of IEEE, and a member of IPSJ, JSAI, IEEE-CS, IEEE-SMC, ACM, AAAI, and IRSS.

Prof. Krzysztof Zieliński

Title:

Reflective Adaptable Middleware as Foundation for Autonomic Computing in SOA

Abstract:

The interest in adaptive computing systems has increased in the past few years with a variety of techniques now allowing software and computer systems to adapt dynamically to their operational environment. Two reasons in the computing field are driving this development. First is the emergence of ubiquitous computing, which focuses on dissolving traditional boundaries for how, when and where humans and computers interact. For example mobile computing devices must adapt to variable conditions on wireless networks and conserve limited battery life. Second is the growing demand for autonomic computing which focuses on developing systems that can manage their resources and protect themselves with only high-level human guidance. It is also supported by the observation that today a lot of computer power is wasted. For example big companies, such as Internet stores, own huge clusters only to fulfill temporary, periodical demands for their services. As a remedy for such situations many institutions started to consolidate workloads on a single system. On the one hand consolidation allows preventing underutilization but on the other hand conflicts between workloads can appear when they want to simultaneously use computing resources. Therefore it is crucial to have a mechanism for ensuring predictable service level for workloads and to autonomically manage resources that workloads consume. The lecture elaborates the resource management models for autonomic computing which employ mechanisms of modern operating systems and lightweight virtualization technology for adaptation run-time infrastructure. Examples of existing autonomic computing frameworks are overviewed and problems of their application to different levels of virtualized infrastructure are presented. In this context the concept of transparent resources management supported by Adaptable Aspect Oriented System is introduced. This concept is also extended to SOA (Service Oriented Architecture) systems. Autonomic computing is going to be remedy to complexity of services provisioning and SLA guarantee.

Biography:

Krzysztof Zieliński, a full professor and head of Department of Computer Science at AGH University of Science and Technology in Krakow Poland. His interests concern distributed computing, object-oriented and component distributed systems engineering, mobile technology, networked multimedia and service oriented computing. He is an author of over 200 papers and 6 books in this area. In years 1988-90 he worked in Olivetti Research Lab. Cambridge UK and at the Cambridge Computer Laboratory. In years 1994-2000 he was a member of the Board of Information Infrastructure for Research (ZII) at the Polish State Committee for Scientific Research (KBN). In years 2000-2004 he was member of the T11 Section (Electronics, Automatics & Robotics, Computer Science and Telecommunication) of the KBN and the Director of the Krakow Telemedicine Centre of Excellence. He has been Project Leader, Technical Manager or Workpackage Manager in a number of national and international research projects, many of which were EU-funded, like e.g. Ambient Networks, PRO-ACCESS, 6WINIT, Polish Network of CoEs, MECCANO, CRIT-2 Esprit, Tempus JEP 9336-95, and TOCOOS. Since 2006, he is a member of the Board of Information Infrastructure for Research at the Ministry of Research and Higher Education. He is a member of IEEE, ACM and Polish Academy of Sciences (Computer Science Chapter).


Important News


Accepted papers

The list of accepted papers is now available by link:

accepted papers

 

NCAIT Session

The information on poster specification is now available by link:

poster size


 
CONTACT:
Tel.:
Fax:
E-mail:
(available later)
+48 71 3204352