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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS, NLP | 2022-06-10 15:55 |
Osaka | (Primary: On-site, Secondary: Online) |
Swarm intelligence algorithm based on spiking neural-oscillator networks, coupling interactions and solving performances Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU)  NLP2022-22 CCS2022-22 |
Optimizer based on spiking neural-oscillator networks (OSNN) are one of the deterministic swarm intelligence algorithms... [more] |
NLP2022-22 CCS2022-22 pp.111-116 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 15:10 |
Online | Online | Parametrization of balancing tasks based on state feedback control model
-- Proposition of single-degree-of-freedom model -- Yuya Nakamura, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ) NLP2021-113 MICT2021-88 MBE2021-74 |
Our previous study performed cooperative balancing experiments between two human subjects and discussed their statistic... [more] |
NLP2021-113 MICT2021-88 MBE2021-74 pp.193-198 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 15:35 |
Online | Online | Toward developing bouncing-type model for simulating human running behavior
-- Proposal of parameter identification method -- Takuto Otsubo, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2021-114 MICT2021-89 MBE2021-75 |
The passive running is a method to descend a slope by a running gait only using potential energy. As one of the specific... [more] | NLP2021-114 MICT2021-89 MBE2021-75 pp.199-204 |
| NLP | 2021-12-17 10:00 |
Oita | J:COM Horuto Hall OITA | Basic performances of a swarm intelligence algorithm based on spiking oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2021-43 |
Spiking oscillator networks are simply coupling systems of plural spiking oscillators, which generate various synchroniz... [more] | NLP2021-43 pp.1-6 |
| NLP | 2021-12-17 14:55 |
Oita | J:COM Horuto Hall OITA | PSO-based Bifurcation Point Detection of Discrete-Time Dynamical System with Numerical Differentiation Takashi Kawashita, Haruna Matsushita (kagawa Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology), Takuji Kousaka (Chukyo Univ.) NLP2021-52 |
In dynamical systems, it is important to analyze bifurcation phenomena, and Particle Swarm Optimization(PSO)-based bifur... [more] | NLP2021-52 pp.44-47 |
| NLP | 2021-12-17 15:20 |
Oita | J:COM Horuto Hall OITA | Application of bifurcation point detection method by improved nested-layer particle swarm optimization to two-dimensional discrete dynamical systems Takaya Hirayama, Haruna Matsushita (Kagawa Univ.), Hiroaki Kurokawa (Tokyo Univ. of Techology), Takuji Kousaka (Chukyo Univ.) NLP2021-53 |
Nested-layer particle swarm optimization (NLPSO) fails to detect a target bifurcation point when various types of bifurc... [more] | NLP2021-53 pp.48-51 |
| SRW, SeMI, CNR (Joint) |
2021-11-25 10:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
PSO-Based Drone Movement for Delay-Tolerant Networks Using Drones during Disasters Hiroyuki Asano, Hiraku Okada, Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2021-30 |
In a large-scale disaster-stricken area, the terrestrial communication systems may not work. As an emergency communicati... [more] | SeMI2021-30 pp.1-6 |
| MIKA (3rd) |
2021-10-28 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on PSO-Based Drone Movement for Delay-Tolerant Drone Networks Hiroyuki Asano, Hiraku Okada, Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) |
An emergency communication system where multiple drones are deployed over a large-scale natural disaster area and contin... [more] | |
| CAS, NLP | 2021-10-15 10:50 |
Online | Online | Searching multiple solutions for gear train optimization by GPSA Satoshi Wakahara, Yoshikazu Yamanaka, katsutoshi Yoshida (Utsunomiya Univ.) CAS2021-32 NLP2021-30 |
This paper aims to simultaneously design multiple gear trains by minimizing the weight of the gearbox. To this end, grav... [more] | CAS2021-32 NLP2021-30 pp.84-89 |
| NLP, CCS | 2021-06-11 13:30 |
Online | Online | Performance Investigation of Bifurcation Point Search Method Using Differential Evolution in Discrete Dynamical Systems Ryo Adachi, Haruna Matsushita (Kagawa Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology), Takuji Kousaka (Cyukyo Univ.) NLP2021-6 CCS2021-6 |
Nested particle swarm optimization (NLPSO) has been proposed as a bifurcation point derivation method that doesnot use g... [more] | NLP2021-6 CCS2021-6 pp.24-27 |
| NC, MBE (Joint) |
2021-03-03 16:25 |
Online | Online | Realization of Global Search and Local Search in Particle Multi-Swarm Optimization Hiroshi Sho (Kyutech) NC2020-53 |
For improving search performance and accuracy of pattern classification, this paper proposes a mixed search method of gl... [more] | NC2020-53 pp.59-64 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-04 14:55 |
Online | Online | Parameter estimation of an IIR sound correction system in a real environment Kento Kudo, Shinichi Inoue, Toshihisa Tanaka (TUAT) EA2020-84 SIP2020-115 SP2020-49 |
When the acoustic equalizer is used as an equalizer for the reference system, it is necessary to measure the sound at ea... [more] | EA2020-84 SIP2020-115 SP2020-49 pp.146-151 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 16:10 |
Online | Online | Solving the Parity Problem by Particle Multi-Swarm Optimization Hiroshi Sho (Kyutech) NC2020-24 |
In recent years, the technology of particle swarm optimization is expanding remarkably. Especially, the technical develo... [more] | NC2020-24 pp.83-88 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2020-06-29 13:25 |
Online | Online | A Study on Centralized and Distributed Intelligent Particle Multi-Swarm Optimization Hiroshi Sho (Kyutech) NC2020-3 IBISML2020-3 |
In this paper, we propose a new method of distributed intelligent particle multi-swarm optimization (DIPMSO) contrast to... [more] | NC2020-3 IBISML2020-3 pp.15-20 |
| NC, MBE (Joint) |
2020-03-05 14:15 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
NC2019-97 |
The purpose of this study is to clarify the search performance and characteristics of differential evolution (DE) and pa... [more] | NC2019-97 pp.125-130 |
| NLP | 2019-09-23 14:10 |
Kochi | Eikokuji Campus, University of Kochi | Proposal of Particle Swarm Optimization based on Parallel Computing Hayato Saiki, Yuuki Tago, Chihiro Ikuta (NIT, Suzuka College) NLP2019-44 |
In this study, we propose a novel particle swarm optimization introducing a parallel computing (PCPSO). We divide the pa... [more] | NLP2019-44 pp.45-50 |
| KBSE | 2019-01-26 09:05 |
Tokyo | NII | Operation control by Multi-Robot using PSO Ken Nishimura, Tomohiro Ohno, Yasushi Kanbayashi (NIT) KBSE2018-42 |
This paper implements an agent system developed in C ++ on the airframe and controls the operation. It was shown that ag... [more] | KBSE2018-42 pp.1-3 |
| CAS, ICTSSL | 2019-01-25 14:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Optimal Signal Control of the Burgers' Cellular Automaton Traffic Flow Model via Particle Swarm Optimization
-- Extension to the Case of Multi-cars in One Cell -- Munehiro Sato, Tatsuya Kai (Tokyo Univ. of Science) CAS2018-135 ICTSSL2018-54 |
This study develops a new systematic control method of signals for a traffic flow model represented by the burgers' cell... [more] | CAS2018-135 ICTSSL2018-54 pp.91-94 |
| SANE | 2018-11-08 14:10 |
Overseas | China (Xuchang) | A Parametric Estimation Method for Detecting Aircraft Wake Turbulence Using a Single Doppler LIDAR Rin Nakamura, Guanghao Sun, Tetsuo Kirimoto (UEC) SANE2018-66 |
Doppler light detection and ranging (LIDAR) is expected to accurate detection of wake turbulence occurred after aircraft... [more] | SANE2018-66 pp.53-56 |
| WPT, EE (Joint) |
2018-10-03 14:40 |
Kyoto | Kyoto Univ. Uji Campus | [Special Talk]
Power Supply Development using Computational Technologies Yasumichi Omoto, Yoshihiro Ikushima (OMRON Automotive Electronics) EE2018-21 |
The high-mix development of onboard power supplies is requested for the increasing of xEV in recent years. On the other ... [more] | EE2018-21 pp.17-22 |
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