Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, MSS |
2024-03-14 10:25 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
A Particle Swarm Optimizer Based on Chaotic Spiking Oscillators with Dynamic Thresholds for Velocity Vectors Ahmed Ali, Hidehiro Nakano (Tokyo City Univ.) MSS2023-87 NLP2023-139 |
Particle Swarm Optimization (PSO) is a metaheuristic algorithm known for solving complex optimization problems. Despite ... [more] |
MSS2023-87 NLP2023-139 pp.77-82 |
EE |
2024-03-11 09:15 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Design Method for Load-Independent WPT Systems Using Machine Learning Naoki Fukuda, Yutaro Komiyama, Wenqi Zhu, Yinchen Xie, Ayano Komanaka, Akihiro Konishi, Kien Nguyen, Hiroo Sekiya (Chiba Univ.) EE2023-58 |
This paper proposes a design method for load-independent wireless power transfer (WPT) systems using machine learning.
... [more] |
EE2023-58 pp.6-11 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 16:20 |
Tokushima |
Naruto University of Education |
Peformance Comparisons of Multi-objective Optimization Methods for Class-E Amplifier Design Tsuneki Fujita, Yuichi Tanji, Haruna Matsushita (Kagawa Univ.) NLP2023-117 MICT2023-72 MBE2023-63 |
Switching power converters are used everywhere, but it becomes an issue that their noise level at high frequencies is hi... [more] |
NLP2023-117 MICT2023-72 MBE2023-63 pp.158-161 |
NLP |
2023-11-29 10:15 |
Okinawa |
Nago city commerce and industry association |
Extension of Bifurcation Point Search Application with Parallel NLPSO to Continuous-Time Dynamical Systems Tomo Hasegawa (Tokyo Univ. of Technology), Haruna Matsushita (Kagawa Univ.), Takuji Kousaka (Chukyo Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology) NLP2023-70 |
This paper reports on the extension of the expansion of the software library for bifurcation point detection via paralle... [more] |
NLP2023-70 pp.49-52 |
NLP |
2023-11-29 14:55 |
Okinawa |
Nago city commerce and industry association |
An Examination of Sinusoidal Variability Coefficients for Enhancing Diversity in Sub-swarms Formed by GPSA Yoshikazu Yamanaka (Utsunomiya Univ) NLP2023-78 |
(To be available after the conference date) [more] |
NLP2023-78 pp.75-78 |
CCS |
2023-11-12 10:25 |
Toyama |
Toyama Prefectural University |
Analysis of a simple network topology for optimizer based on spiking-neural oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2023-34 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are one of the deterministic PSO methods, which are based ... [more] |
CCS2023-34 pp.53-57 |
RCS, SAT (Joint) |
2023-09-01 09:00 |
Nagano |
Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
K-Means-Aided Particle Swarm Optimization for Antenna Control in Multi-Cell HAPS System Wei Dai, Siyuan Yang, Mondher Bouazizi, Tomoaki Ohtsuki (Keio.) RCS2023-116 |
High Altitude Platform Stations (HAPS) are considered a solution for providing ultrawide coverage areas and disaster-res... [more] |
RCS2023-116 pp.73-78 |
EST |
2023-05-19 14:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
A Design Method of Multisection Line Impedance Matching Circuit Kei Terui, Keito Naitoh, Tsugumichi Shibata (TCU) EST2023-7 |
In this paper, we consider a configuration in which a large number of microstrip section lines with an electrical length... [more] |
EST2023-7 pp.34-39 |
EST |
2023-05-19 14:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Modeling of Step Discontinuity in Microstrip Line Width Keito Naitoh, Kei Terui, Tsugumichi Shibata (TCU) EST2023-8 |
In this paper, we study the equivalent circuit modeling of microstrip line discontinuities where the strip width suddenl... [more] |
EST2023-8 pp.40-44 |
NLP |
2023-05-13 13:00 |
Fukushima |
Kenshin Koriyama Cultural Center (Koriyama, Fukushima) |
A study of optimal solution search behavior using GPSA with devided particle swarms Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2023-5 |
To find multiple optimal solutions simultaneously, the authors have proposed the gravitational particle swarm algorithm (... [more] |
NLP2023-5 pp.20-22 |
NLP |
2023-05-13 14:55 |
Fukushima |
Kenshin Koriyama Cultural Center (Koriyama, Fukushima) |
Class E Amplifier Design via Multi-objective Particle Swarm Optimization. Tsuneki Fujita, Yuichi Tanji (Kagawa Univ.) NLP2023-9 |
Switching power converters are used everywhere, but it becomes an issue that their noise level at high frequencies is hi... [more] |
NLP2023-9 pp.37-40 |
NLP, MSS |
2023-03-15 13:40 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Algorithm and Software Investigation for Bifurcation Point Detection via Parallel Nested-Layer Particle Swarm Optimization Tomo Hasegawa (Tokyo Univ. of Technology), Haruna Matsushita (Kagawa Univ.), Takuji Kousaka (Chukyo Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology) MSS2022-70 NLP2022-115 |
This paper reports on the implementation of an application software for bifurcation point detection that supports parall... [more] |
MSS2022-70 NLP2022-115 pp.43-48 |
NC, NLP |
2023-01-29 15:30 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Parametrization of balancing tasks based on state feedback control model
-- Proposition of nonlinear single-degree-of-freedom model -- Hibiki Nakayama, Yuya Nakamura, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2022-105 NC2022-89 |
We have been researching dynamic characteristics of human behavior in balancing tasks.
In our previous study, we propos... [more] |
NLP2022-105 NC2022-89 pp.129-134 |
CCS |
2022-11-18 14:30 |
Mie |
(Primary: On-site, Secondary: Online) |
Particle swarm optimization considering a positive and negative inertia terms by Levy distribution Sohei Kusaka, Hidehiro Nakano (Tokyo City Univ.) CCS2022-57 |
Particle Swarm Optimization (PSO) is known as a type of swarm intelligence algorithms. The inertia constant of each sear... [more] |
CCS2022-57 pp.71-75 |
CCS |
2022-11-18 16:00 |
Mie |
(Primary: On-site, Secondary: Online) |
Investigation for the coupling interactions in swarm intelligence algorithm based on spiking neural-oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2022-60 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are deterministic swarm intelligence algorithms which intr... [more] |
CCS2022-60 pp.85-90 |
IN, CCS (Joint) |
2022-08-04 14:00 |
Hokkaido |
Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
On Learning of MLP by PSO with Perturbation Riku Takatou, Kenya Jin'no (Tokyo City Univ.) CCS2022-32 |
Attempt to learn the coupling coefficients of a multiclass classifier using a simplified multilayer perceptron (MLP) wit... [more] |
CCS2022-32 pp.30-34 |
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 |