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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 148  /  [Next]  
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
 Results 1 - 20 of 148  /  [Next]  
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