Special Issue on Selected Papers from SCIS & ISIS 2008 No.2

Author(s):  
Masayoshi Kanoh ◽  

Welcome to the second special issue on selected papers from SCIS & ISIS 2008, a joint conference combining the 4th Soft Computing and Intelligent Systems (SCIS) and the 9th International Symposium on advances Intelligent Systems (ISIS) held at Nagoya University, Japan, in September 2008. smallskip Three earlier conferences were held in: the National Institute of Advanced Industrial Science and Technology (AIST), Japan (2002); Keio University, Japan (2004); and Tokyo Institute of Technology, Japan (2006). smallskip Conference topics include fuzzy logic, clustering, evolutionary computation, machine learning, rough sets, man-machine interaction/interfaces, neural networks, computer vision, image processing, cognitive modeling, computational intelligence, etc. smallskip Papers of interest containing novel algorithms and ideas in these fields have been selected, so I hope you will enjoy this issue.smallskip I would like to thank the many people who have produced these special issues for SCIS & ISIS2008, and all of the authors and reviewers. Without your help, this issue would not have been possible.

Author(s):  
Naoyuki Kubota ◽  

SCIS & ISIS is a biennial international joint conference in the field of soft computing and intelligent systems, including branches of researches from fuzzy systems, neural networks, evolutionary computation, multi-agent systems, artificial intelligence or robotics. SCIS & ISIS 2006 falls on the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) held at Tokyo Institute of Technology, in Tokyo, Japan, on September 20-24, 2006. In this conference, 464 original papers were accepted for presentation and the number of attendees was 526. After preliminary selection and review made by the session chairs and the International Program Committees of SCIS & ISIS 2006, we have selected more than 50 papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics. The accepted papers are published as the special issues in Vol.11, No.6, 7, and 8 in 2007. This current issue presents 23 papers and covers most of the topics of the conference including fuzzy theories, self-organizing maps, and the optimization of neural networks. The learning and search methods in computational intelligence and real-world applications to image processing, robotics and manufacturing systems are highlighted in this current issue. I would like to thank all the authors and reviewers for their contribution to make this special issue possible. I am also grateful to Prof. Toshio Fukuda, Nagoya University and Prof. Kaoru Hirota, Tokyo Institute of Technology, Editors-in-chief, for inviting me to serve as Guest Editor of this Journal.


Author(s):  
Hajime Nobuhara ◽  

As mentioned in the editorial for the special issue on selected papers from SCIS & ISIS 2006 (No.1) by Dr. Naoyuki Kubota, the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) have been highly successful with 464 original papers accepted for presentation and participants numbering 526. We have selected approximately 50 quality papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics, following publication of the first volume (Vol.11, No.6) comprising 23 papers. This second volume of the SCIS & ISIS 2006 special issue includes 19 papers covering the cutting edge of computational intelligence, and the guest editors believe that readers will be inspired by the highly interesting contents containing clues to the new frontier of the computational intelligence. linebreak Related areas include image processing, control, sensor fusion, data/context/ network analysis, genetic algorithms, ontology, VHDL, game theory, and robotics among others.smallskip I would like to thank all the authors and reviewers for their valuable contributions in making this volume possible. I am also grateful to Editors-in-Chief Prof. Toshio Fukuda of Nagoya University and Prof. Kaoru Hirota of the Tokyo Institute of Technology, Dr. Toshiaki Murofushi who served as general chair of SICS & ISIS 2006, Dr. Naoyuki Kubota who was the SCIS & ISIS 2006 program chair, and the SCIS & ISIS 2006 conference staff for inviting me to serve as Guest Editor of this Journal. Last, I would like to thank the Fuji Technology Press staff, especially Dr. Kazuki Ohmori.


Author(s):  
G. K. Park ◽  

The 8th International Symposium on Advanced Intelligent Systems (ISIS 2007), a biennial joint conference between Korea and Japan, focuses on artificial intelligence, intelligent systems, information technology, and their applications. ISIS 2007, held on September 5-8 at Soraksan National Park under the auspices of the Korea Fuzzy Logic and Intelligent Systems Society (KFIS), was attended by 265 researchers, engineers, and other professionals and featured 206 presentations. Of more than 20 papers preliminarily selected and reviewed by the ISIS 2007 International Program Committees, 7 were chosen for the special issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics, centering on advanced intelligent systems including robotics, pattern recognition, data mining, and decision-making systems. The content and conclusions presented in these fine papers should prove both interesting and informative to specialists and generalists alike. I thank the authors and reviewers for their painstaking contributions to this special issue and Prof. Kaoru Hirota of the Tokyo Institute of Technology for inviting me to guest-edit this work.


Author(s):  
Yasuhisa Hasegawa ◽  

This third special issue on papers from SCIS&ISIS 2006 draws its contents from a highly successful conference attracting 526 participants from 31 countries and 464 original papers, including 297 in 60 organized sessions. The invaluable contributions by the session organizers made this conference attractive and worthwhile in soft computing and advanced intelligent systems research. Having chaired the conference's organized session committee, I wish to express my gratitude for their assistance. Some 42 selected papers have already been published in Volumes 1 and 2 of this special issue (Vol.11, Nos.6 and 7). The present volume introduces 22 papers from organized sessions in extended form after preliminary selection and review by session organizers, chairs, and international SCIS&ISIS 2006 program committees. These papers cover fields related to intelligent systems, ranging from theoretical to practical issues such as self-organizing maps, neural networks, fuzzy clustering, fuzzy control, intelligent robots, secure smart spaces, data mining, and intelligent communication systems. The guest editors believe that readers will be inspired by these highly interesting papers, which contain clues to exploring new and seminal ideas for that next step in research. I thank all of the authors and reviewers for the time and effort they put into this special issue. I am grateful to Prof. Toshio Fukuda of Nagoya University and to Prof. Kaoru Hirota of the Tokyo Institute of Technology for the opportunity to take part in this work.


Author(s):  
Tsuyoshi Nakamura ◽  

Welcome to this special issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII). I am pleased to introduce 41 selected papers presented at the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) held on September 17-21, 2008, at Nagoya University in Nagoya, Japan. This conference featured 401 original papers in presentations attended by some 500 participants. SCIS & ISIS is a biennial international joint conference in the field of soft computing and intelligent systems, including branches of research ranging from fuzzy systems, neural networks, and evolutionary computation to multiagent systems, artificial intelligence, and robotics. This current issue presents 20 papers covering most of the conference topics including fuzzy theory, self-organizing maps, robotics, computer vision, and optimization algorithms. I would like to thank the authors and reviewers and SCIS & ISIS 2008 for making this special issue possible. I am also grateful to Prof. Toshio Fukuda, Nagoya University, and Prof. Kaoru Hirota, Tokyo Institute of Technology, the editors-in-chief, and the SCIS & ISIS 2008 conference staff for inviting me to guest-edit this Journal.


Author(s):  
Annamária R. Várkonyi-Kóczy ◽  

Today's complex industrial and engineering systems - especially with the appearance of large-scale embedded and/or real-time systems - confront researchers and engineers with completely new challenges. Measurement and signal processing systems are involved in almost all kinds of activities in that field where control problems, system identification problems, industrial technologies, etc., are to be solved, i.e., when signals, parameters, or attributes must be measured, monitored, approximated, or determined somehow. In a large number of cases, traditional information processing tools and equipment fail to handle these problems. Not only is the handling of previously unseen spatial and temporal complexity questionable but such problems have also to be addressed such as the interaction and communication of subsystems based on entirely different modeling and information expression methods, the handling of abrupt changes within the environment and/or the processing system, the possible temporal shortage of computational power and/or loss of some data due to the former. Signal processing should even in these cases provide outputs of acceptable quality to continue the operation of the complete system, producing data for qualitative evaluations and supporting decisions. It means the introduction of new ideas for specifying, designing, implementing, and operating sophisticated signal processing systems. Intelligent - artificial intelligence, soft computing, anytime, etc. - methods are serious candidates for handling many theoretical and practical problems, providing a better description, and, in many cases, are the best if not the only alternatives for emphasizing significant aspects of system behavior. These techniques, however, are relatively new methods and up until now, not widely used in the field of signal processing because some of the critical questions related to design and verification are not answered properly and because uncertainty is maintained quite differently than in classical metrology. After the initiation of the 1999 IEEE International Workshop on Intelligent Signal Processing, WISP'99, which was the first event to start linking scientific communities working in the fields of intelligent systems and signal processing and hoping that it will attract more and more scientists and engineers in these hot topics, this special issue continues this pioneering work by offering a selection of nine papers fitting into the profile of the journal from the numerous high quality ones presented at WISP'99. These excellent papers deal with different aspects of advanced computational intelligence in signal processing, including the application of neural networks, fuzzy techniques, genetic and anytime algorithms in modeling, signal processing, noise cancellation, identification, and pattern recognition, multisensorial information fusion and intelligent classification in image processing, exact and nonexact complexity reduction, and nonclassical and mixed data and uncertainty representation and handling. As an editor of this special issue, I would like to express my thanks to all of the contributors and my belief in that the excellent research results it contains provide the basis for further strengthening and spreading of advanced computational intelligence in signal processing opening wide possibilities for new theoretical and practical achievements.


Author(s):  
Imre J. Rudas ◽  
◽  
János Fodor

The current issue contains 12 papers presented at the <I>IEEE 9th International Conference on Intelligent Engineering Systems (INES 2005), Cruising on the Mediterranean Sea</I>, on September 16-19, 2005, and <I>3rd Serbian-Hungarian Joint Symposium on Intelligent Systems (SISY 2005), in Subotica, Serbia and Montenegro</I>, on August 31-September 1, 2005. The topics of the two conferences are very close to each other and regard Intelligent Systems both from practical and theoretical point of view. These successful conferences brought together active participants and joined researchers from several countries working on this very quickly developing, more and more important field. After a preliminary selection made by the section chairs and the International Program Committees, we have selected 12 papers to be published in extended form in the current Special Issue of the <I>Journal of Advanced Computational Intelligence and Intelligent Informatics</I>. We would like to express our thanks to our sponsors, the organizers and mainly to the participants, who made these scientific events possible. Also, we express our thanks to the Editors of the Journal of Advanced Computational Intelligence and Intelligent Informatics, for publishing this Special Issue. In the following we briefly describe each paper. A. Almeida, G. Marreiros present a model to support collaborative scheduling in complex dynamic manufacturing environments. This model considers the interaction between an Agent based Scheduling Module and a Group Decision Support Module. P. Baranyi, Z. Petres, P. L. Várkonyi, P. Korondi and Y. Yam study in their paper how the Tensor Product model transformation is capable of determining different types of convex hulls of the Linear Time Invariant models. The study is conducted through the example of the prototypical aeroelastic wing section. B. Bede, H. Nobuhara, J. Fodor and K. Hirota propose the study of the problem if usual sum and product can be substituted by max and product operations in defining approximation operators. In this sense max-product Shepard approximation operators are defined and studied. B. Benyó, P. Somogyi and B. Paláncz address the problem of classification of cerebral blood flow signals in order to identify the disorders of the cerebral circulation. The experimental results provided in the paper confirm the effectiveness of the proposed methods. J. Gáti and Gy. Kártyás propose a model based distance learning in the every day higher education practice in their contribution. They survey some important issues and methodological elements of virtual classrooms in comparison with demands for teaching procedures, programs, and materials. L. Horváth and I. J. Rudas propose a methodology for intelligent communication and change management for engineering modeling. This study motivated by increasing of importance of change management because of continuous product development. M. Maleković and M. Čubrilo describe in their contribution how to incorporate infatuation in multi-agent systems. Infatuation stands for the focusing on a single attractive or desirable characteristic of another agent and then considering the total agent as that one positive characteristic. E. Pap and M. Takács study two dimensional copulas as binary aggregation operators in their paper. Invariant copulas and an application of copulas in the theory of aggregation operators are discussed and a result on approximation of associative copulas by strict and nilpotent triangular norms is obtained. B. Reskó, Á. Csapó and P. Baranyi present in their contribution a visual cortex inspired cognitive model for contour and vertex detection. The contour detection and vertex extraction is performed by a vast network of simple units of computation simultaneously processing the visual data. The computational units are organized in a special structure, the Visual Feature Array. M. Takács addresses investigation of the problem of the approximate reasoning in the fuzzy systems, by reviewing a specific case, where the investigated structure is a real semi-ring with pseudo-operations. It is the investigation of special-type fuzzy sets, special g-generated t-norms and implications in approximate reasoning. J. K. Tar, I. J. Rudas and A. Rontó present in their paper a simple adaptive controller that creates only temporal and situation dependent system model. The temporal model can be built up and maintained step-by-step on the basis of slow elimination of fading information by the use of simple updating rules consisting of finite algebraic steps of lucid geometric interpretation. A. R. Várkonyi-Kóczy, A. Rövid and P. Várlaki present a new fuzzy based tone reproduction pre-processing algorithm which may help in developing the hardly or non-viewable features and content of the images making easier the further processing of it.


Author(s):  
Keigo Watanabe ◽  
Kazuhiro Ohkura ◽  
Kiyotaka Izumi

This second special issue from the Joint 5th International Conference on Soft Computing and Intelligent Systems and the 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS) 2010 presents 11 progressive papers covering topics from Fuzzy c-Means, clustering, evolutionary algorithms, and self-organizing maps to optimization, spiral phenomena, matroids, multirobot systems, and reinforcement learning. This wide range of research interests reflects current trends in the SCIS & ISIS conference series. As such, they demonstrate how near-future research interests are gradually moving toward exciting new directions. We thank the authors and reviewers for taking time out from their busy schedules to make this publication possible. We are especially grateful to Prof. Toshio Fukuda of Nagoya University and to Prof. Kaoru Hirota of the Tokyo Institute of Technology for giving us the opportunity to guest-edit JACIII. Our special thanks go to Ms. Reiko Ohta of Fuji Technology Press Ltd. for her ongoing support in publication.


Author(s):  
Jianqiang Yi ◽  
◽  
Fangyan Dong ◽  

The biennial International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2008) focuses on advanced technologies for soft computing, computational intelligence, and real-world applications. The first ISCIIA was held in 2004 in Haikou, China, the second in Guangzhou, China, and the third, hosted by Dali University, held Nov. 21-Nov. 26 in Dali, Yunnan Province, China. From the 58 papers published in ISCIIA2008 proceedings, 5 have been selected and reviewed for publication in JACIII. This special issue covers learning systems, signal and image processing, human-computer interfacing, intelligent control, and robotics. These selected papers should prove to be interesting and informative for many researchers. ISCIIA2008 was cochaired by Professor Yaping Dai of Beijing Institute of Technology and professor Lihua Duan of Dali University. The local organizing committee member included Prof. Yilong Gu and Dr. Chen, who worked hard from CFP preparation to local arrangement. The founding chairs – Prof. Kaoru Hirota of Tokyo Institute of Technology, Prof. Shibin Zhao of Guangdong Polytechnical Normal University, and Mr. Raymond Tay of Mycom Inc., Singapore – contributed much to the success of ISCIIA2008. The fourth ISCIIA will be held in August in Harbin, China, and we look forward to the advances in computational intelligence technologies and industrial applications the occasion will bring.


Author(s):  
Kazuo Tanaka ◽  

We are witnessing a rapidly growing interest in the field of advanced computational intelligence, a "soft computing" technique. As Prof. Zadeh has stated, soft computing integrates fuzzy logic, neural networks, evolutionary computation, and chaos. Soft computing is the most important technology available for designing intelligent systems and control. The difficulties of fuzzy logic involve acquiring knowledge from experts and finding knowledge for unknown tasks. This is related to design problems in constructing fuzzy rules. Neural networks and genetic algorithms are attracting attention for their potential in raising the efficiency of knowledge finding and acquisition. Combining the technologies of fuzzy logic and neural networks and genetic algorithms, i.e., soft computing techniques will have a tremendous impact on the fields of intelligent systems and control design. To explain the apparent success of soft computing, we must determine the basic capabilities of different soft computing frameworks. Give the great amount of research being done in these fields, this issue addresses fundamental capabilities. This special issue is devoted to advancing computational intelligence in control theory and applications. It contains nine excellent papers dealing with advanced computational intelligence in control theory and applications such as fuzzy control and stability, mobile robot control, neural networks, gymnastic bar action, petroleum plant control, genetic programming, Petri net, and modeling and prediction of complex systems. As editor of this special issue, I believe that the excellent research results it contains provide the basis for leadership in coming research on advanced computational intelligence in control theory and applications.


Sign in / Sign up

Export Citation Format

Share Document