Call for Organized Session Proposals
Interested organizers should prepare a proposal which includes:
- Session title.
- Organizer(s) (name, affiliation and E-mail address).
- List of at least three (3) papers (tentative titles and their authors).
- Presentation mode: “oral” or “poster”.
- Please note that all presentations in an organized session should have the same presentation mode.
- If there is any discrepancy between the organizer and the presenters, the organizer’s choice takes priority over the presenters’ choice.
- SCIS&ISIS and/or ISWS papers can be mixed in an organized session. Thus, the organizers do not have to choose the conference, namely SCIS& ISIS or ISWS.
Please send it to pc_chairs at cmplx.cse.nagoya-u.ac.jp..
Approved Organized Sessions
Tomohiro Yoshikawa (Nagoya University, Japan)
Kei Ohnishi (Kyushu Institute of Technology, Japan)
This session is organized by the special interest group on evolutionary computation in Japan Society for Fuzzy Theory and Intelligent Informatics, called "ECOmp". This session widely calls for papers related to bio-inspired optimization, optimization including human factors, and artificial life.
Classification and Pattern Recognition using Machine Learning
Koichi Yamada (Nagaoka University of Technology, Japan)
Yoichiro Maeda (Ritsumeikan University, Japan)
Tomohiro Yoshikawa (Nagoya University, Japan)
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.
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 are encouraged. Reflecting the fact that this society covers a wide range of topics, the related researchers from a variety of fields including intelligent robotics, human-machine interface, Kansei engineering and so on are invited to this session.
Soft computing on an embedded system
Yukinobu Hoshino (Kochi University of Technology, Japan)
Yasuo Kudo (Muroran Institute of Technology, Japan)
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 applications but also papers in the related area are welcomed.
Soft Computing in Urban and Transport Planning
Takamasa Akiyama (Kansai University, Japan)
Robot Integration System for Symbiosis with human
Hiroyuki Masuta (Toyama Prefectural University, Japan)
Takenori Obo (Tokyo Polytechnic University, Japan)
Affective Engineering and its Interactive Approach
Muneyuki Unehara (Nagaoka University of Technology, Japan)
Katsuhiro Honda (Osaka Prefecture University, Japan)
Seiki Ubukata (Osaka Prefecture University, Japan)
Clustering is one of the most strong and important tools in many fields such as data mining, machine learning, and pattern recognition. These days, big data such as social data have attracted interest of many researchers because the data have many significant and useful knowledge implicitly. For finding such knowledge from the data, many clustering algorithms have been proposed with new methodologies such as noise rejection, EM algorithm, rough sets theory, co-clustering, network clustering, and cluster validity, and developed into various applications including text mining, community detection, recommendation system and so on. In this special session, leading-edge works of clustering and its fusion of other methodologies will be described and discussed.
Intelligent Support System with AI and IoT Technologies
Hironobu Takano (Toyama Prefectural University, Japan)
Hideaki Touyama (Toyama Prefectural University, Japan)
Tatsuo Motoyoshi (Toyama Prefectural University, Japan)
Sangheon Han (NUCB, Japan)
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.
Advanced Biomedical Engineering and Human Assistive Technology
Kouki Nagamune (University of Fukui, Japan)
Noboru Takagi (Toyama Prefectural University, Japan)
Takeshi Matsui (Gunma University, Japan)
Data mining is the process of the advanced knowledge emergence analyzing big data. An interactive cooperation between humans and computer systems assumes more importance in data mining. This session invites researchers from various fields that focus on fundamental theories and/or practical methods for data mining.
Motonori Doi (Osaka Electro-Communication University, Japan)
Yoshimichi Ito (Osaka Electro-Communication University, Japan)
Toshihiko Watanabe (Osaka Electro-Communication University, Japan)
Computer vision is important research area for industrial applications. This session addresses soft computing techniques and advanced system for computer vision. Topics of interest include, but are not limited to, the following: image analysis, video analysis, signal processing, document analysis, pattern recognition, object recognition, sensors, stereo vision, range imaging, shape representation, motion tracking, projector-camera system, vision-based interface, image retrieval, video surveillance, illumination modeling, visualization, computer graphics, and VR/AR.
Hiroshi Nakajima (Omron Corporation, Japan)
Yasuyo Kotake (Omron Corporation, Japan)
Industrial applications are the very important aspects of the SCIS&ISIS conferences. Various types of applications are welcome to this session including industrial and consumer electric components, systems, and services. Especially related to following technologies but not limited them;
Toshiya Arakawa (Aichi University of Technology, Japan)
Bio-information has been positioned more and more in important aspects, and the needs for the method of analysis to bio-information and the industrial application to it seem to increase. This session is expected to discuss the way to deal with the bio-information, and the application possibility to devices, such as medical robot and bio-information estimation device. In this session, both the basic study and the application study is welcome.
|OS-19||Image tracking and load estimation
Byung-Jae Choi (Daegu University, Korea)
|OS-20|| Sensing and Bio-Application
Suk-seung Hwang (Chosun University, Korea)
Young-Jae Ryoo (Mokpo National University, Korea)
Recently, intelligent system is one of the hottest words all over the world. Many robotic and vehicle systems insist on having intelligence, attributed to the reasoning and decision making of human beings. Advanced intelligent system includes fuzzy logic, artificial neural networks, evolutionary computing, learning theory, probabilistic method, and so on. This organized session focuses on the intelligent system and its application for robotics and vehicle. Its areas reach out comprehensive ranges.
|OS-22|| Intelligent Machine Learning Algorithm
Young Im Cho (Gachon University, Korea)
|OS-23|| Computing in Biomedical Engineering
Hangsik Shin (Chonnam National University, Korea)
Jung-Sook Kim ( Kimpo University, Korea)
IT convergence means manufacturing or creating smart and easy-to-use products or systems by combining IT and communication technologies in various fields of manufacturing and on-sites. In this session, we first introduce a smart mat system that combines sensors and communication hardware with hot water mat by developing a mobile application program that is used to control it. Next, in order to measure the safety of geotechnical structures at the construction site, we use various sensors and communication functions and propose a method of analyzing them using machine learning which is an artificial intelligence technique. Finally, we will present a mobile smart drawing editor that can input data directly during the field measurement for indoor interior.
|OS-25|| Neuroscience & Bioinformatics
Suguru N. Kudoh (Kwansei Gakuin University, Japan)
Takahiro YAMANOI (Hokkai-Gakuen Univ., Japan)
|OS-26|| Human factors and ergonomics
Yoritaka Akimoto (Nagaoka University of Technology)
Hiromi Ban (Nagaoka University of Technology)