Symposiums and Organized Sessions

JSST2017 Symposiums

Numerical Simulation and Visual Analytics of Nonlinear Problems

Organizer: Atsushi Kamitani, Yamagata Univ.

Co-organizer: Satoshi Tanaka, Ritsumeikan Univ., Koji Koyamada, Kyoto Univ., and Seiichi Koshizuka, Tokyo Univ.

Both the numerical simulation and the visual analytics have played an important role in the analysis of nonlinear problems arising in a wide variety of fields in science and engineering. For example, in solid-state physics, fusion engineering, and fluid dynamics, a number of high-performance numerical techniques have been proposed for solving nonlinear partial differential equations and they have contributed to the remarkable development of these fields. Moreover, visual analytics of complicated/large-sized data is indispensable for the analysis of the results obtained in numerical simulations. In this sense, the numerical simulation and the visualization should work closely together in the analysis of nonlinear problems. The aim of this symposium is to provide a forum for exchanging ideas and discussing recent developments in the numerical simulation and the visual analytics of nonlinear problems.

New Development of Simulational Science in Statistical Physics

Organizer: Naomichi Hatano, Univ. of Tokyo

Co-organizer: Hiroaki Nakamura, National Institute for Fusion Science

To present a concise tutorial for those who are not familiar with Monte Carlo methods in statistical physics and many-body condensed matter physics.

Symposium on Simulation Technology for Safe, Secure and Resilient Society

Organizer: Masami Iwase, Tokyo Denki Univ.

In modern society, super-aging, large-scale disasters and many other uncertainties and issues are becoming obvious, and it is necessary for us to realize a safe and secure and mature society with resilience that can adapt to this situation. Therefore, it is important to exchange knowledge, information and research on simulation technology that will contribute to building a smart social system that detects various risks quickly and encourages appropriate response. The symposium aims to provide an opportunity for this purpose and to encourage researches on this field to realize such a desirable society. All papers and presentations in this scope, including widely spread targets, technologies, and applications, are welcome, and encouraged to be submitted to the symposium in JSST2017.

JSST Student Research Symposium

Organizer: Shoshiro Hatakeyama, Tokyo Denki Uni.

Co-organizer: Masami Iwase, Tokyo Denki Univ.

The JSST SRS provides an opportunity where students studying on any topics of, concerned with, utilizing and using simulation technology present their research, scholarship or creative activities. All students in the scope are encouraged to submit an application to present either preliminary or completed results from their original research or creative activity. Presentations are oral for 10 minutes with discussion for 5 minutes. Excellent papers and presentations are awarded by JSST2017 committee.

Organized Sessions

OS1: Multi-dimensional communication networks

Organizer: Kenichi Ito, Niigata Institute of Technology

Organizer: Hisashi Morishita, National Defense Academy

In this organized session, we will discuss the communication about the infrastructure or the application, the communication methods and the high reliability from diversity of communications.

OS2: Computational Electromagnetism and Its Applications

Organizer: Hajime Igarashi, Hokkaido Univ.

Co-Organizer: Hideki Kawaguchi, Muroran Institute of Technology

This session will contain presentation and discussion about electromagnetic field analysis and its application to engineering.

OS3: Simulation Technology in Origami

Organizer: Sachiko Ishida, Meiji Univ.

This session aims to discuss, but is not limited to, numerical simulation on origami geometry and mechanism, applications of computational origami, numerical approach to design and fabrication of origami-related products, visualization and software development of origami systems, and education using computational origami and origami-related software.

OS4: Complex Networks and Complex Systems

Organizer: Atsushi Tanaka and Shuhei Miyake, Yamagata Univ.

Complex systems has been fascinating subject of self organization, pattern formation and other nonlinear phenomena. In these days, the study of complex networks has been popular all over the world. That includes not only mathematics and physics but also biology, economics, technology and social science. Recent developments of computers and simulation techniques have been enabled us to analyze and simulate those big-data resources. The aim of this organized session is to provide a forum for exchanging ideas and discussing recent developments in complex systems and complex networks in the various fields of researches.

OS5: Design and Control of Multi-Functional Robots

Organizer: Shunsuke Nansai, Singapore Univ. of Technology and Design

Co-Organizer: Takuma Nemoto, Singapore Univ. of Technology and Design

In this session, we aim to share the state-of-the-art design and control strategies with analysis and experiment on multi-functional robots.

OS6: Kansei and higher brain functions

Organizer: Michiko Ohkura, Shibaura Institute of Technology

In this session, we aim to share the research progress on kansei and higher brain functions.

OS7: IoT, D2D, V2X and Mobile Communications

Organizer: Shigeru Shimamoto, Waseda Univ.

Co-Organizer: Jiang Liu, Zhenni Pan, Megumi Saito, Waseda University

In this session, we aim to share the latest research activities on wireless communications. So called 5G system will be in practical use soon. We will discuss on each technology for 5G in terms of IoT, V2X, D2D and other wireless schemes.

OS8: Image/Video Processing and Simulation

Organizer: Katsumi Konishi, Kogakuin Univ.

Co-Organizer: Tomohiro Takahashi, Tokyo University of Science

This session aims to discuss about image and video processing techniques including, but not limited to, encoding and decoding, compression, optimization, deep learning, machine learning, recognition in image and video processing.