| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS (Joint) |
2021-03-16 09:40 |
Online | Online | Pinning consensus control of a group of quadrotors modeled by a directed acyclic graph Akinori Sakaguchi, Toshimitsu Ushio (Osaka Univ.)  MSS2020-50 |
In this study, we consider a pinning consensus control problem with a given altitude for a group of heterogeneous quadro... [more] | MSS2020-50 pp.33-36 |
| KBSE | 2021-03-06 13:00 |
Online | Online | Efficient Evacuation Support in Mountainous Areas Using UAV Itsuki Tago, Yasushi Kambayashi (NIT) KBSE2020-43 |
We have witnessed various natural disasters in many regions. Even though people pay attention to tsunami, land-slides in... [more] | KBSE2020-43 pp.54-59 |
| AI | 2020-12-11 09:05 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
An Automated Driving Strategy for Microscopic Road Traffic Using Multi-Agent Deep Reinforcement Learning Ryota Suwa, Toshiharu Sugawara (Waseda Univ.) AI2020-7 |
This study proposes a method for interaction-aware automated driving in microscopic road traffic simulations using multi... [more] | AI2020-7 pp.34-38 |
| AI | 2020-12-11 10:20 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
A Preliminary Multi-Agent Reinforcement Learning Approach for Responding Dynamic Traffic in Communication Destination Anonymization Keita Sugiyama, Naoki Fukuta (Shizuoka Univ.) AI2020-10 |
In this paper, we describe our prototype mechanism using the simulation-based multi-agent reinforcement learning for aut... [more] | AI2020-10 pp.46-51 |
| KBSE, SC | 2020-11-14 09:00 |
Online | Online + Kikai-Shinko-Kaikan Bldg. (Primary: Online, Secondary: On-site) |
Risk prediction in software development project course with real clients Fumihiro Kumeno (NIT) KBSE2020-23 SC2020-27 |
We have conducted a software development project course with real clients; non-profit organizations of local community, ... [more] | KBSE2020-23 SC2020-27 pp.41-46 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 13:30 |
Online | Online | On parameter identifications of Higher-Order IIR adaptive filters by using discrete chaotic systems Yutaro Arai, Yasunori Sugita, Tadashi Tsubone (NUT) CAS2020-15 NLP2020-36 |
Since the structure of the error function is often multimodal, in case of a strategy that minimizes the error function i... [more] | CAS2020-15 NLP2020-36 pp.21-24 |
| MSS, NLP (Joint) |
2020-03-09 09:50 |
Aichi | (Cancelled but technical report was issued) |
A Distributed Algorithm for Solving Sandberg-Willson Equations Based on Sequential Minimization of Convex Quadratic Functions Masaaki Takeuchi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-115 |
We propose a new distributed algorithm for multi-agent networks to solve Sandberg-Willson equations, which are well-know... [more] | NLP2019-115 pp.13-18 |
| MSS, NLP (Joint) |
2020-03-09 10:15 |
Aichi | (Cancelled but technical report was issued) |
A projected consensus-based algorithm for minimizing the maximum error of a system of linear equations with nonnegativity constraints Kosuke Kawashima, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-116 |
If a system of linear equations with nonnegativity constraints has a solution then it can be considered as a constrained... [more] | NLP2019-116 pp.19-23 |
| MSS, NLP (Joint) |
2020-03-10 16:45 |
Aichi | (Cancelled but technical report was issued) |
Reinforcement Learning Based Multi-Ship Course Search Method with Tracking Control Hiroki Kimura, Takahiro Tomihara, Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takushoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) NLP2019-131 |
We have developed multi-agent reinforcement learning system (MARLS) to search ships’ courses. Since the rudder angle is ... [more] | NLP2019-131 pp.103-108 |
| ICTSSL, CAS | 2020-01-31 15:40 |
Tokyo | Evacuation behavior simulation in large-scale commercial facilities Koichiro Daidai, Kyou Takata, Norika Nakamura, Nao Itou (NITT) CAS2019-93 ICTSSL2019-62 |
In this study, we investigate the effect of the presence of a guide on the evacuation time using a multi-agent simulatio... [more] | CAS2019-93 ICTSSL2019-62 pp.149-152 |
|
| ICTSSL, CAS | 2020-01-31 16:00 |
Tokyo | Study of Multi-Agent Economic Simulation Model Based on Microeconomics Tomoki Nakamura, Akihiro Murakami, Nao Ito (NITT) CAS2019-94 ICTSSL2019-63 |
The purpose of this study is to evaluate the effect of neutral currency as a local currency on the economy using multi-a... [more] | CAS2019-94 ICTSSL2019-63 pp.153-156 |
|
| RCC | 2020-01-27 14:10 |
Osaka | Distributed online subgradient method over unbalanced directed graphs Makoto Yamashita, Naoki Hayashi, Takeshi Hatanaka, Shigemasa Takai (Osaka Univ.) RCC2019-72 |
This paper considers a constrained distributed online optimization problem over strongly connected unbalanced directed n... [more] | RCC2019-72 pp.13-18 |
|
| KBSE | 2020-01-25 14:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Design and Implementation of Multi-Robot Control System Using Extended PSO Based on Multiple Software Agents Tomoya Minowa, Kazuki Kanari, Tetsuro Takahashi, Masafumi Goto, Toshihiko Seino, Yasushi Kambayashi (NIT) KBSE2019-43 |
It is difficult for people to search the site where the building collapsed and rubble was scattered. In that case, a ro... [more] |
KBSE2019-43 pp.31-36 |
| AI | 2019-12-06 13:35 |
Overseas | The University of Adelaide | A Mediation for Multi-Issue Negotiation with Genetic Algorithm Ryohei Kawata, Takaki Yasui (TUAT), Mark Klein (MIT), Yuta Hosokawa, Katsuhide Fujita (TUAT) AI2019-39 |
The complexity of the non-linear utility functions and the negotiation spaces becomes negotiations among the agents diff... [more] | AI2019-39 pp.5-8 |
| AI | 2019-11-28 14:20 |
Fukuoka | Action Planning considering State of Agents for Multi-Agent Pickup and Delivery Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara (Waseda Univ.) AI2019-33 |
(To be available after the conference date) [more] | AI2019-33 pp.19-24 |
|
| ICTSSL, IN | 2019-10-17 10:50 |
Oita | Comparison of Efficiency between Fixed and Mobile Disaster Information Transmitters Naoki Kobayashi, Yamazaki Tatsuya (Niigata Univ.), Sato Shosuke (Tohoku Univ.) ICTSSL2019-18 IN2019-32 |
To promote evacuation at the time of disaster, appropriate local information needs to be certainly transmitted to the ev... [more] | ICTSSL2019-18 IN2019-32 pp.11-16 |
|
| NS, IN, CS, NV (Joint) |
2019-09-05 16:20 |
Miyagi | Research Institute of Electrical Communication, Tohoku Univ. | [Invited Talk]
Toward the Autopoiesis Computing Gen Kitagata (Tohoku Univ.) IN2019-23 |
Autopoiesis is a concept that a component self-organizes and creates itself and it can function alone and also cooperate... [more] | IN2019-23 pp.1-4 |
| CQ | 2019-08-28 16:10 |
Hokkaido | Hakodate arena | Optimal spreading of disaster warnings using VANETs
-- Importance of quick sharing of evacuation information based on the experience of the Great East Japan Earthquake -- Kota Ichikawa, Alberto Gallegos, Taku Noguchi (Ritsumeikan Univ.) CQ2019-87 |
In recent years, the need of Vehicular Ad-hoc Networks (VANETs) during disasters has increased. For example, during the ... [more] | CQ2019-87 pp.153-157 |
| CQ | 2019-07-18 13:00 |
Niigata | Niigata Univ. | [Poster Presentation]
Study on Source Allocation in a Local Information Transmitting System for Evacuation Simulation Naoki Kobayashi, Tatsuya Yamazaki (Niigata Univ.) CQ2019-43 |
Evacuation simulation has been used as a tool to imitate human actions at the time of disaster. Among many evacuation si... [more] | CQ2019-43 pp.45-49 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2019-05-17 14:00 |
Okinawa | Okinawa Industry Support Center | Comparison between musical ensemble performance by human and one by agents
-- Toward multi-agent orchestra -- Satoshi Kawase, Takafumi Kanazawa (Osaka Univ.) HCS2019-21 HIP2019-21 |
This study investigated the group creativity of musical ensemble performance comparing performances by human and agents,... [more] | HCS2019-21 HIP2019-21 pp.165-168 |
[Return to Top Page]