Approved Organized Sessions

  • Biomimetic Approach in Robotics and Mechatronics
    • Fusaomi Nagata (Tokyo University of Science, Yamaguchi)
    The main objective of this organized session is to study about biomimetic machines, next-generation mechatronics instruments, and next-generation robots (such as service robots, ubiquitous robots, surgery-assist robots, multi-robots system, cloud robotics, intelligent machining robot etc.) by applying biologically inspired technologies that mimic the behavior and intelligence of biology. It is possible to improve the cooperation and affinity between machine (or robot) and human, if a mechanical system will be constructed so as to expect an emergence of biomimetic functions mimicking any biology for control and interface systems to be implemented. These machines are called here as biomimetic machines.
  • Digital Monozukuri
    • Aynur Unal (Ansal University)
    I would like to organize a session on DIGITAL MONOZUKURI with five participants in the session. We are going to focus on the* Use of Mobile Games* a new teaching tools and it will be around my key note talk attached here as "Textbooks as Games and Games as Textbooks: Open Innovation"
  • Collective Intelligence and Intelligent Data Analysis
    • Katsuhiro Honda (Osaka Prefecture University)
    Collective Intelligence is a key concept in analyzing complex systems, and Intelligent Data Analysis can contribute to extracting intrinsic collective knowledge, which is varied in communities. This special session focuses on how to deal with intrinsic collective knowledge and how it can be used in real applications.
  • Clustering -Fundamentals and Applications-
    • Yuchi Kanzawa (Shibaura Insitute of Technology)
    Crisp and fuzzy clustering are the most important tools in the field of data mining and machine learning, and many algorithms thus have been proposed so far. In terms of theory, new methodologies including Inductive Clustering, Data Privacy, and Data with Tolerance recently attract researchers' attention. In addition, clustering has been developed into various applications including Classifier, Collaborative Filtering and so on. In this special session, leading-edge works of crisp/fuzzy clustering with the new methodologies will be described and discussed. Moreover, some useful applications in the real world will be shown.
  • Soft Computing in Urban and Transport Planning
    • Takamasa Akiyama (Kansai University)
    The soft computing techniques are applied to the urban planning relating with civil engineering and architecture. In particular, fuzzy logic, neural network and multi-agent modelling are applied particularly in urban and transport planning. This organized session covers not only systems analysis in urban planning but also the application to environmental problems in future low carbon society. The structure engineering, geotechnical engineering, architectural design are involved as well. The session is collaborated with the research group of application of soft computing in civil engineering and architecture of Japanese Society for Fuzzy Theory and Intelligent Informatics.
  • Human Symbiotic Systems
    • Yoichiro Maeda (Osaka Institute of Technology)
    Tomohiro Yoshikawa (Nagoya University)
    Tsuyoshi Nakamura (Nagoya Institute of Technology)
    This special session aims at discussing the basic principles and methods of designing intelligent interaction with the bidirectional communication based on the effective collaboration and symbiosis between the human and the artifact, i.e. robots, agents, computer and so on. We aims at encouraging the academic and industrial discussion about the research on Human-Agent Interaction (HAI), Human-Robot Interaction (HRI), and Human-Computer Interaction (HCI) concerning Symbiotic Systems. Reflecting the fact that this society covers a wide range of topics, in this session we invite the related researchers from a variety of fields including intelligent robotics, human-machine interface, Kansei engineering and so on.
  • New Generation Computing Paradigm
    • Akihiro Fujiwara (Kyushu Institute of Technology)
    The processing power of a conventional CPU is approaching the theoretical upper limit due to various physical constraints, and therefore, new generation computing paradigms are now actively discussed. This special session widely calls for papers related to new computing that does not stick to the conventional computing paradigms.
  • Intelligent Processing in Medical and Welfare Devices
    • Noboru Takagi (Toyama Prefectural University)
    Kouki Nagamune (University of Fukui)
    On the rapid growth of computers and their environmental techniques, human-computer interface now becomes very important for improving facility and dependability of computer related systems. Intelligent information processing techniques, for example, enable us to develop computer-aided systems for helping people with disabilities. Furthermore, under the development of high-performance medical devices such as fMRIs, intelligent information processing are needed more and more in the medical fields. In this organized session, we will discuss state-of-the-art technologies related to intelligent processing in medical and welfare devices.
  • Total Environment for Text Data Mining
    • Mitsunori Matsushita (Kansai University)
    Text mining is a technique for finding useful knowledge from unstructured text data. In recent years, many text data mining methods have been proposed. During text mining, however, a user has to apply a combination of different text analysis tools and hence, this may be a burden for the user. To address the problem, a total environment for text data mining (TETDM) in which users can combine a variety of text analysis tools was proposed. This organized session intends to discuss system applications, mining methodologies, and comprehensive studies with the environment from two different standpoints: a tool developers and users.
  • Forecasting
    • Kazuhiro Takeyasu (Tokoha University)
    Yasuo Ishii (Osaka International University)
    Forecasting is inevitable in industries. But there are many rooms to be improved. In this session, various methods to improve forecasting accuracy are attempted and interesting results are obtained. It includes the following theme as: /Genetic algorithm is utilized for the estimation of weighting parameters /Optimal smoothing constant is pursued /Sensitivity analysis is conducted in the Bayesian Network
  • Rough sets, granular computing and their application
    • Hiroshi Sakai (Kyushu Institute of Technology)
    Yasuo Kudo (Muroran Institute of Technology)
    Masahiro Inuiguchi (Osaka University)
    Recently, rough sets and granular computing are recognized as the new paradigm of computing, and attract the attention of researchers coping with data mining, knowledge discovery, pattern recognition, decision analysis, soft computing, kansei engineering, etc. In this session, we focus on the recent progress of rough sets and granular computing, and exchange the new results and the ideas toward the future developments in this research area. Not only papers on rough sets, granular computing and their application but also papers in the related area are welcomed.
  • Biomedical Soft Computing Based on Human Sciences
    • Masahiro Nakano (Junshin Gakuen University)
    This session holds various sides of soft computing applied to Biomedical human sciences. The key words of the soft computing are Fuzzy, Neuro, Chaos, GA, SOM and Simulations. The session will include new idea and technology, which are still developed.
  • Decision Making and Soft Computing Techniques under Uncertainty
    • Hideki Katagiri (Hiroshima University)
    Takashi Hasuike (Osaka University)
    Decision makers face complicate and large-scale problems with various random and ambiguous conditions in the real world, and hence, it is important for both academic and practical researchers to develop decision making and soft computing techniques to solve these problems more appropriately and efficiently. This organized session contributes to discuss not only basic and academic studies of advanced decision making and soft computing techniques, but also real-world applications with large-scale and uncertain data.
  • Optimization techniques for solving challenging problems
    • Hiromi Miyajima (Kagoshima University)
    Noritaka Shigei (Kagoshima University)
    In the engineering field, there exists a lot of optimization problems to be solved. For some classes of the problems, such as nonlinear programming problem and combinatorial optimization problem, it is often difficult to find the optimal (or a good) solution. The main objective of this organized session is to discuss how to effectively find the optimal (or a good) solution for various problems such as classification, clustering, combinatorial optimization problem, regression, detection, reinforcement learning, prediction and so on.
  • Soft Computing Methodologies for Computer-aided Diagnosis
    • Syoji Kobashi (University of Hyogo)
    Hiroharu Kawanaka (Mie University)
    Miho Ohsaki (Doshisha University)
    Computer-aided diagnosis (CAD) has attracted considerable attentions because it will improve quality of diagnosis significantly with quantitative information. CAD systems have been used in various fields including medicine, health, industry testing, and others. In CAD systems, soft computing methodologies is a crucial player due to high representability of human knowledge and behavior. This special session gathers not only researchers but also engineers to share state of the arts in soft computing methodologies and to discuss the current problems.
  • Marine Safety information and Engineering system
    • Yukinobu Hoshino (Kochi University of Tech.)
    Presenters would like to discuss Soft computing of Maritime information and Engineering. It aims to provide an international academic research and industrial research to discuss. Those target issues are maritime information science and engineering systems.
  • Cool Systems Engineering
    • Keitaro Naruse (University of Aizu)
    Masahito Yamamoto (Hokkaido University)
    Michiko Watanabe (Kitami Institute of Technology)
    An intelligent system consists of many intelligent agents that can behave appropriately on the dynamically changing environment. An intelligent agent is required to have an ability to process a task autonomously, goal-oriented and flexibly for adapting any environment. Many intelligent agents can emerge more effective ability to perform difficult tasks by communicating with other agents if necessary. Such an intelligent system is called “Cool System” and designing the cool systems is called Cool Systems Engineering. The main objective of this organized session is to discuss about the analysis of cool systems and the methodology for designing cool systems.
  • Intelligent Control
    • Kazuyuki Kobayashi (Hosei University)
    Seiji Yasunobu (University of Tsukuba)
    We are planning a session "Intelligent control" at SCIS-ISIS2014. Intelligent control is the field of intelligent control for various types of robotic system. Topics of interest include, but are not limited to Topics: * Mobile robot * Driving control assistance * Adaptive intelligent control * Fuzzy control * Computer controlled systems * Computing & communications * Decentralized control * Process control * Real-time control * Fault tolerant control * Genetic & evolutionary computation * Nonlinear systems * Embedded control systems * Unmanned systems We welcome submissions from researchers of company and university, and from students of university, junior college and college.
  • Signal Processing and Machine Learning for Neurotechnology
    • Tomasz M. Rutkowski (University of Tsukuba)
    Qibin Zhao (RIKEN Brain Science Institute)
    Neurotechnology applications such as neurofeedback or brain computer/machine interfaces (BCI/BMI) gain recently major development momentum in computational neuroscience research community. The new paradigms and applications are supported by the advanced signal processing and machine learning tools. The organized session will review some of the recent and “hot” approaches targeting brain signals. The aim of the organized session is to highlight recent advances in neurotechnology. This session shall promote research area of biomedical and especially brain-signal processing with invited papers focused, but not limited to, BCI/BMI; neurofeedback; brainwaves processing, decomposition, denoising and machine learning.
  • Soft Computing and Its Applications
    • Yan Shi (Tokai University)
    Takashi Samatsu (Tokai University)
    The aims are to enhance academic exchanges on Soft Computing and Its Applications and to provide a chance for communications among researchers. The topics of interest include, but are not limited to: 1. Fuzzy Theory and Applications (Fuzzy Sets, Fuzzy Reasoning, Fuzzy Arithmetic, Fuzzy Optimization, Fuzzy Decision Making, Fuzzy Pattern Recognition, Fuzzy Control, Fuzzy Applications in Communications, Networking, Engineering, etc), 2. Evolutionary Computation (Genetic Algorithm, Computation Intelligence, Evolutionary Programming, Ant Colony Optimization, Particle Swarm Optimization, Swarm Intelligence, Estimation of Distribution Algorithms), 3. Neural Network and Applications (Neural Network Learning Algorithm, Neural Network Applications, Hybrid Neural Network, Machine Learning, Pattern Recognition).
  • Affective Mediation and Intermediation through Multimodal Interaction
    • Tomoko Yonezawa (Kansai University)
    Recent intelligent systems have unique interfaces to be attractive, familiar, and natural with multimodal I/Os. This session encourages you to submit your original discussion on such unique interactions, or your system proposals with affective mediation, intermediation, and multimodal interaction.
  • System analysis and optimization
    • Kazutoshi Sakakibara (Toyama Prefectural University)
    In the past two decades, a lot of computational intelligence techniques have been developed and applied to the practical issues. This organized session is to reflect the current researches on the theory and applications of a variety of intelligent optimization techniques especially for meta-heuristics, statistical optimization techniques, mathematical programming and swarm intelligence to solve the practical problems arising in the fields of planning, engineering design, medical engineering, social engineering, etc. Relevant topics include, but are not limited to: social system analysis, production planning, machine learning, evolutionary computation, mathematical programming, other new approaches using statistical optimization techniques.
  • Application to managerial decision making
    • Sangheon Han (Nagoya University of Commerce & Business)
    Managerial decision-making is a complex process that results in the selection of a course of action among several alternative scenarios. This session is intended to be a discussion about "applications of managerial decision making" with researchers with wide range field.
  • Intelligent Approaches and Applications
    • Shun-Feng Su (National Taiwan University of Science and Technology)
    C. W. tao (National I-Lan University, National Formosa University)
    The special session gathers several papers about intelligent approaches and applications from Taiwan. This special session is organized by Taiwan Association of System science and Engineering and is a token of thank to KIIS for their friendship and support in the past year. We know the topic may be diverse. If the program committee hopes to distribute our papers to different sessions, it is fine with us. Thank you and look forward to seeing you in Japan.
  • Self-Organizing Maps
    • Hiroshi Wakuya (Saga University)
    Kikuo Fujimura (Tottori University)
    A self-organizing map, often called its abbreviation as a "SOM", is one of neural network models proposed by Prof. T. Kohonen in 1980s. Since its proposal, a lot of researchers have been undertaken in this area, because its major features based on the topology-preserving projection are quite useful. And its trend leads to the great success of a series of the bi-annual international conferences (WSOM) for these twenty years. Then, in this organized session, a variety of research works including wide-range of relevant self-organizing systems are brought together, and a new technological innovation will be brew up through inter-disciplinary discussions.
  • Interactive Evolutionary Computation
    • Makoto Fukumoto (Fukuoka Institute of Technology)
    Makoto Inoue (Akita National College of Technology)
    Interactive Evolutionary Computation (IEC) is known as an effective approach that reflects user's preference and feelings on creation of media contents by applying searching ability of evolutionary algorithm. According to Takagi's survey (in Proc. the IEEE, 2001), application fields of IEC were mainly related to senses of sight and hearing. In recent years, IEC spreads the application fields and accelerates searching ability by employing recent evolutionary algorithms and new interfaces. This session is organized for showing the progress and the applications of IEC. The organizers hope presenters and participants to have communication to perform further development of IEC.
  • Brain Computing Systems
    • Takahiro Yamanoi (Hokkai-Gakuen Univ.)
    Suguru N. Kudoh (Kwansei Gakuin Univ.)
    Innovation for brain-inspired intelligent information processing and application of this processing method to the analysis of brain function are critical two wheels of a cart for both of developing novel brain-computing systems and elucidating higher brain functions. This organized session focuses on novel application of SOFT computing (including techniques resembling biological processes) to brain measurements, brain-computer interfaces, brain-mimetic or brain inspired information systems, neural modeling, data analysis for neuronal signals, cognitive science, psychology and other related topics in the integrated field of brain and computational sciences.
  • Soft Computing Techniques for Computer Vision
    • Motonori Doi (Osaka Electro-Communication University)
    Yoshimichi Ito (Osaka Electro-Communication University)
    Toshihiko Watanabe (Osaka Electro-Communication University)
    The computer vision techniques based on optical decices such as cameras, lasers. and projectors have become necessary recently due to spread of reasonable devices such as Kinect and a low cost PC. The techniques are indispensible for a lot of important industrial application systems including motion capturing, recognition, measurement, automation, and so on. The techniques for computer vision includes image processing, signal processing, sensing, computer graphics, and so on. This session addresses soft computing techniques and advanced system techniques for computer vision application.
  • Intelligent Robotics
    • Yasunori Takemura (Nippon Bunri University)
    Kazuo Ishii (Kyushu Institute of Technology)
    Robots are acting in using many sensors and actuators to get intelligence. A system integrating by using sensors and actuators is considered to be one of the key factor in robot development. This session, We handle a wide range of research on the intelligence of the robot. In the session, we accept and study design of the robot, behavioral algorithm, related to intelligent and so on.
  • Image and Medical Image Processing I
    • Hyoungseop Kim (Kyushu Institute of Technology)
    Hidetaka Arimura (Kyushu University)
    We are pleased to invite you to submit a paper in ISIS 2013 for the medical imaging. As you know, medical imaging is evolving to meet new demands in medical and medicine to provide computer aided diagnosis. The objective of this session is to provide an open and the informal atmosphere for discussion in information processing. In this session, researchers will exchange together their information in medical imaging to discuss the current state and future of medical imaging. The medical imaging session focus in research and development for computer information in medical fields, including (but not limited); /Medical imaging such as CT, MR imaging, PET, US … /Image processing and visualization /Segmentation /Image registration /Image reconstruction /Image guided surgery /Computer aided diagnosis
  • Image and Medical Image Processing II
    • Hyoungseop Kim (Kyushu Institute of Technology)
    Hidetaka Arimura (Kyushu University)
    We are pleased to invite you to submit a paper in ISIS 2013 for the medical imaging. As you know, medical imaging is evolving to meet new demands in medical and medicine to provide computer aided diagnosis. The objective of this session is to provide an open and the informal atmosphere for discussion in information processing. In this session, researchers will exchange together their information in medical imaging to discuss the current state and future of medical imaging. The medical imaging session focus in research and development for computer information in medical fields, including (but not limited); /Medical imaging such as CT, MR imaging, PET, US … /Image processing and visualization /Segmentation /Image registration /Image reconstruction /Image guided surgery /Computer aided diagnosis
  • Human assist intelligent systems and service robots
    • Hakaru Tamukoh (Kyushu Institute of Technology)
    Eiichi Inohira (Kyushu Institute of Technology)
    In order to realize a service robot to support our daily life, intelligent systems play a key role in a development of robot’s artificial brain. A research on this topic focuses to broad categories such as Computer Vision, Object Recognition, Human-Robot-Interaction, Object Manipulation, Ambient Intelligence, and Embedded Systems and Integration. An objective of this organized session is to discuss about basic and applied researches related on the service robot.
  • Intelligent Systems and Applications for Robotics and Vehicles
    • Young J. Ryoo (Mokpo National University)
    The major topic of the organized session is emerging technologies in the field of intelligent systems and its applications for robotics and vehicles. For the deployment of humanoids, mobile robots, unmanned vehicles and autonomous vehicles, various intelligent systems and its applications are needed to study. Intelligent systems for robotics and vehicles include computational intelligence techniques including fuzzy logic control systems, neural networks, and evolutionary computation; machine learning and smart systems including data mining, intelligent service practices; and intelligent information processing including pattern recognition and image processing. Its applications include mechanisms, electronics, sensing and actuating system, and control system for robotics and vehicles. Any paper related the topic will be welcome to join the organized session.
  • Application to Business
    • Yukio Kodono (Osaka International University) and Yoshiyuki Yabuuchi (Shimonoseki City University)
    With respect to application of soft computing, and its usefulness in many research results have been reported. However, with regard to field-based business, do not have too much penetration. In addition, the field of business systems, fuzzy and uncertain data that the data exists and is being processed them appropriately has been desired. Therefore, in this session will be announced about the application of soft computing system for the field of business.
  • Cognitive Robotics
    • Takenori Obo, Naoyuki Kubota (Tokyo Metropolitan University) and Honghai Liu (University of Portsmouth)
    The study on the intelligence, cognition, and self of robots has a long history. Nowadays, we can use various types of human-friendly robots in daily life. This means a robot should have human-like intelligence and cognitive capabilities to co-exist with people. The concepts on adaptation, learning, and cognitive development should be introduced much more in the next generation robotics from the theoretical point of view. The fuzzy, neural, and evolutionary computation plays the important role to realize cognitive development of robots from the methodological point of view. Furthermore, the synthesis of information technology, network technology, and robot technology may bring the brand-new emerging intelligence to robots from the technical point of view. The structurization of information and knowledge is a key topic to support the cognitive development of robots. This special session focuses on the intelligence of cognitive robots emerging from the adaptation, learning, and cognitive development through the interaction with people and dynamic environments from the conceptual, theoretical, methodological, and/or technical points of view.
  • Medical and Human Assist Systems
    • Kazuo Kiguchi (Kyushu University)
    Advancement of the latest robotics technologies has brought many kinds of medical and human assist systems. Some of them are already used in many places practically. In this organized session, the latest technologies on medical and human assist systems, such as surgery robots, surgery simulators, surgery assist systems, human motion simulator, power-assist robots, rehabilitation robots, service robots will be discussed.
  • Intelligent Image and Signal Processing
    • Gerald Schaefer; Md. Atiqur Rahman Ahad (Loughborough University; University of Dhaka)
    Image and signal processing techniques are applied in variety of domains, yet still there remain many challenges. Computational intelligence paradigms, such as neural networks, evolutionary algorithm fuzzy logic and others, have been shown to provide well-performing alternatives to conventional approaches and to work also in situations where traditional algorithms fail. The aim of this session is to collect recent approaches of intelligent image and signal processing techniques. High quality submissions are sought on topics including but not limited to: - image analysis and processing - image acquisition/segmentation/registration - medical imaging - functional imaging - multimodal image and signal processing - multi-dimensional signal processing - intelligent signal processing and sensing - advanced signal communication technologies - image and signal compression - etc.
  • Data Mining and Knowledge Discovery Based on Statistical Methods
    • Kuniyoshi Hayashi and Koki Kyo (Okayama University and Obihiro University of Agriculture and Veterinary Medicine)
    In this session, we mainly focus on the possibility of statistical methods for soft computing and intelligent systems. In particular, through this session, we will develop an argument in terms of a prior process for constructing systems and decision-making from the point of view of statistical approach. If possible, we will discuss on the contribution of these methods based on statistics with many participants of various fields.
  • Human Friendly Computing and Systems
    • Atsushi Inoue (Eastern Washington University)
    The aims of this session are dissemination and international exchange on advances of human friendly computing and systems, where Soft Computing generally plays critical roles. Human friendliness was extensively studied at the Laboratory for International Fuzzy Engineering (LIFE) between 1989 and 1995. Soft Computing was advocated by Professor Lotfy A. Zadeh during this period. Now, after 20 years of LIFE project, we may observe even higher demand in our societies and many innovative works all over the world. This session should include several papers of such works from different countries such as US, Kazakhstan and Japan.
  • Intelligent System for Robotics and Vehicles
    • Young-Jae Ryoo (Mokpo National University)
    The major topic of the organized session is emerging technologies in the field of intelligent systems and its applications for robotics and vehicles. For the deployment of humanoids, mobile robots, unmanned vehicles and autonomous vehicles, various intelligent systems and its applications are needed to study. Intelligent systems for robotics and vehicles include computational intelligence techniques including fuzzy logic control systems, neural networks, and evolutionary computation; and intelligent information processing including pattern recognition and image processing. Its applications include mechanisms, electronics, sensing and actuating system, and control system for robotics and vehicles.
  • Intelligent Logistics & Automation Systems
    • Yong-Tae Kim (Hankyong National University)
    Automation and robotics technology can be applied to meet the customers｡ｯ demand for quick and on-time delivery. The objective of this organized session is to present and discuss recent researches in the intelligent logistic systems for distribution centers and manufacturing factory. Autonomous transportation robots and automation devices can simplify manual operations and reduce costs and labor requirements while increasing strategic flexibility in the distribution center. Topics of the session focus on the research areas such as design and control of nonlinear electromagnetic levitation system, navigation and operation of the transportation robot, and so on.
  • Maritime Safety System to Support e-Navigation
    • Jung Sik Jeong (Mokpo Maritime National University
    In recent, e-Navigation has paid much attention at the committee of international maritime organization. It is expected that the e-Navigation contributes to not only reduction of maritime accidents, but also efficiency of sea transportation by processing maritime digital information in much safer and efficient manner, as compared to the conventional navigation. The topics deal with state-of-the-art technologies and practical implementation of SMART navigations, a.k.a e-navigation. In the session, we discuss processing techniques to analyze and represent maritime safety information, integrity monitoring scheme to provide reliable PNT service, and practical implementation of SMART navigation. We welcome all of you, who are interested in SMART Navigation in term of the e-Navigation.
  • Intelligent system of industrial applications
    • Youngchul Bae (Chonnam National University)
    Recently many researchers have studied to apply intelligent system in industrial application areas such as power plant and communication, and so on. In order to extend in application of intelligent systems, in this organized session, we deal with various intelligent system of industrial application including communication system, wind power system, image processing, nonlinear dynamics, and chaotic synchronization and control. The authors will present and discuss new research results for each as well as engage in further discussion to find more about the integration and the convergence in those subjects.
  • Intelligent System & Big Data
    • Young Im Cho (University of Suwon, Korea)
    The topic of this session is on intelligent systems based on big data and intelligent systems theory. The topics include computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; intelligent control, instrumentation and robotics; adaptive signal and multimedia processing; intelligent information processing including pattern recognition and information processing; machine learning and smart systems including data mining, intelligent service practices.
  • Application of Intelligent Systems
    • Hwachang Song (Seoul Nat'l University of Science & Tech.)
    With a focus on application of intelligent systems, this session includes technical papers involving solutions to industrial problems, which are too complex to solve using conventional approaches, in the fields of biomedical image processing, robot application and electrical energy systems. Hybrid integration of multiple approaches and technical achievements are highlighted in the session.
  • Intelligent System and Its Applications
    • Jongmyung Choi (Mokpo National University)
    The topic of this organized session is in the field of intelligent systems and its applications. Intelligent systems include computational intelligence techniques including fuzzy logic control systems, neural networks, and evolutionary computation; and intelligent information processing including pattern recognition and image processing.; naive bayes based on attribute weighting in kernel density estimation.
  • Methods and Applications of Soft Computing
    • Sungshin Kim (Pusan National University)
    This Organized Session is a multidisciplinary session for the presentation and discussion of current research in the methods and applications of Soft Computing techniques. Researches will mainly include designing method, technique, architecture, algorithm and software. Also, a performance evaluation for the soft computing and a real world application will be involved in this session. This session is organized for the presentation in various methods as applied to soft computing, with emphasis on applications in data-rich areas and provides an early forum for examination of emerging methods and approaches in this rapidly changing field.
  • Intelligent System
    • Sang-Yong Rhee (Kyungnam University)
    The session is focus on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. The topics include computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; intelligent control, instrumentation and robotics; adaptive signal and multimedia processing; intelligent information processing including pattern recognition and information processing; machine learning and smart systems including data mining, intelligent service practices; fuzzy theory and its applications.
  • Big Data Applications
    • Keon Myung Lee (Chungbuk National University)
    Recently big data has attracted much attention in both academy and businesses due to its potentional impacts in discovering and creating new opportunities. Various challenging issues have been identified and tackled in the perspective of volume of data, variety of tasks and data types, and processing speed. Hadoop seems to be most widely accepted framework for big data applications. Many parellel and distributed algorithms have been developed with MapReduce paradigm on Hadoop framework. Despite the popularity of Hadoop, there have been other platforms and paradigms for big volume of data, such as MPI, OpenMI, CUDA. This session aims to have an opportunity to present new developments of big data algorithms and to share the experience of successful big data applications to real domains.
  • User-Created Data Mining
    • Jee-Hyong Lee (Sungkyunkwan University)
    With the success of many services through the internet, a huge amount of data created by users is being accumulated, such as usage logs of services and contents created by users. In order to provide better services or to better understand the contents, many approaches have been proposed, such as recommendation, sentiment analysis, summarization, keyword extractions, etc. In this session, some recent researches related to mining data created by users will be presented.