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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CQ, CBE (Joint) |
2024-01-25 16:50 |
Kumamoto | Kurokawa-Onsen (Primary: On-site, Secondary: Online) |
[Invited Talk]
Analysis of global state fluctuations in functional brain networks Makoto Fukushima (Hiroshima Univ.)  CQ2023-59 |
The degree of synchronization of regional brain activities (i.e., functional connectivity) always fluctuates over time, ... [more] | CQ2023-59 p.43 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 11:10 |
Tokushima | Naruto University of Education | Realization of Finite Automata using Heteroclinic Mechanism in Continuous-Time Recurrent Networks Naoya Sugawara, Asaki Saito (Future Univ. Hakodate) NLP2023-105 MICT2023-60 MBE2023-51 |
In this study, we propose a method to construct a continuous-time recurrent network that operates with small inputs and ... [more] | NLP2023-105 MICT2023-60 MBE2023-51 pp.102-105 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 14:30 |
Tokushima | Naruto University of Education | Verification of Conditions for Conducting Virtual Reality Live Concerts Attended by 50 People via Electroencephalography Signals by Dynamical System Modeling Yukino Komoda, Ryota Horie (SIT) NLP2023-112 MICT2023-67 MBE2023-58 |
The authors have hypothesized that collective behavior occurs among the EEG features of multiple viewers in a multiple-p... [more] | NLP2023-112 MICT2023-67 MBE2023-58 pp.133-138 |
| CCS, NLP | 2023-06-09 11:10 |
Tokyo | Tokyo City Univ. | A study on learning Koopman operators from synchrophasor data on distribution voltage amplitudes Tadahiro Yano, Yoshihiko Susuki (Kyoto Univ.) NLP2023-21 CCS2023-9 |
In recent years, the so-called micro-Phasor Measurement Unit ($mu$PMU) has become a promising new option for managing AC... [more] | NLP2023-21 CCS2023-9 pp.35-38 |
| EMM, IT | 2023-05-12 10:15 |
Kyoto | Rakuyu Kaikan (Kyoto Univ. Yoshida-South Campus) (Primary: On-site, Secondary: Online) |
Gradient flow decoding for LDPC codes Tadashi Wadayama, Kensho Nakajima, Ayano Nakai-Kasai (NiTech) IT2023-8 EMM2023-8 |
The power consumption of the integrated circuit is becoming a significant burden, particularly for large-scale signal pr... [more] | IT2023-8 EMM2023-8 pp.37-42 |
| NLP, MSS | 2023-03-15 10:40 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Spectral analysis of synchropahsor data in a campus distribution grid: Comparison of numerical methods Munetaka Noguchi (Osaka Prefecture Univ.), Yoshihiko Susuki (Kyoto Univ.), Atsushi Ishigame (Osaka Metropolitan Univ.) MSS2022-64 NLP2022-109 |
Recently, the so-called micro-Phasor Measurement Unit (μPMU) with high-resolution capability has been expected as a new ... [more] | MSS2022-64 NLP2022-109 pp.11-16 |
| NLP, MSS | 2023-03-16 10:00 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Detecting causality for marked point processes Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) MSS2022-80 NLP2022-125 |
In this report, by modifying conventional causality detection method for nonlinear dynamical systems, we propose a causa... [more] | MSS2022-80 NLP2022-125 pp.89-94 |
| NLP, MSS | 2023-03-16 11:40 |
Nagasaki | (Primary: On-site, Secondary: Online) |
A Study on Properties of Koopman Eigenfunctions for a Planar Singularly-Perturbed Dynamical System Natsuki Katayama, Yoshihiko Susuki (Kyoto Univ.) MSS2022-85 NLP2022-130 |
The Koopman operator is a composition operator for nonlinear dynamical systems. The eigenfunctions of the Koopman operat... [more] | MSS2022-85 NLP2022-130 pp.114-119 |
| NLP, MSS | 2023-03-17 13:10 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Periodic Memory and Learning Chaotic Dynamical Systems in Hysteresis Reservoir Computing Tsukasa Saito, Kenya Jin'no (Tokyo City Univ.) MSS2022-100 NLP2022-145 |
Hysteresis Reservoir Computing, which applies a simple hysteresis network to the reservoir layer of reservoir computing,... [more] | MSS2022-100 NLP2022-145 pp.178-181 |
| NLP | 2022-08-02 11:15 |
Online | Online | [Invited Talk]
Dimensionality reduction of dynamical systems via Koopman operator theory and applications to nonlinear rhythms Hiroya Nakao (Tokyo Tech.) NLP2022-31 |
A method of dimensionality reduction for nonlinear dynamical systems via the Koopman operator theory and its application... [more] | NLP2022-31 pp.24-26 |
| NLP | 2022-08-02 15:30 |
Online | Online | The energy-accuracy trade-off in thresholding Nobumasa Ishida, Yoshihiko Hasegawa (Univ. Tokyo) NLP2022-36 |
In the last decade, stochastic thermodynamics revealed that the accuracy of various information processing, from biologi... [more] | NLP2022-36 pp.39-42 |
| CAS, SIP, VLD, MSS | 2022-06-16 10:50 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Multi-Agent Surveillance Based on Equitability of Travel Costs Kyohei Murakata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2022-3 VLD2022-3 SIP2022-34 MSS2022-3 |
In this paper, we consider the surveillance problem by multiple agents. A surveillance area is modeled by a directed gra... [more] | CAS2022-3 VLD2022-3 SIP2022-34 MSS2022-3 pp.13-16 |
| IBISML | 2022-03-08 13:05 |
Online | Online | [Invited Talk]
--- Takashi Matsubara (Osaka Univ.) IBISML2021-34 |
Deep learning is being considered as the most promising approach to building an artificial intelligence (AI) system; it ... [more] | IBISML2021-34 p.27 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:45 |
Online | Online | Physical deep learning based on optimal control of dynamical systems Satoshi Sunada, Genki Furuhata, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-79 MICT2021-54 MBE2021-40 |
An underlying key factor of deep neural networks is the information propagation through the layers. This suggests a conn... [more] | NLP2021-79 MICT2021-54 MBE2021-40 p.36 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 16:25 |
Online | Online | Reconstructing dynamical system from marked point processes and its application to real world data Kazuya Sawada, Nina Sviridova (TUS), Yutaka Shimada (Saitama Univ.), Tour Ikeguchi (TUS) NLP2021-116 MICT2021-91 MBE2021-77 |
In this report, we applied the method of reconstructing dynamical system for the marked point process to the human pho... [more] |
NLP2021-116 MICT2021-91 MBE2021-77 pp.209-212 |
| 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 |
| NLP | 2021-12-18 14:15 |
Oita | J:COM Horuto Hall OITA | A study on estimating appropriate parameters of state space reconstruction Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2021-64 |
In this report, we investigated appropriate parameter values for reconstructing a dynamical system using delay-coordinat... [more] | NLP2021-64 pp.96-99 |
| MSS, CAS, IPSJ-AL [detail] | 2021-11-19 11:45 |
Online | Online | Multi-Agent Surveillance Based on Travel Cost Minimization Kyohei Murakata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-50 MSS2021-30 |
In this paper, we consider the surveillance problem by multiple agents. A surveillance area is modeled by a directed gra... [more] | CAS2021-50 MSS2021-30 pp.76-79 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-29 15:25 |
Online | Online | A finite state markov-chain approximation of the intermittent control model during human quiet standing using a finite element analysis of stochastic hybrid dynamical system Yasuyuki Suzuki, Keigo Togame, Akihiro Nakamura, Taishin Nomura (Osaka Univ) NC2021-16 IBISML2021-16 |
The intermittent control model is capable of reproducing human postural sway during quiet stance by achieving body flexi... [more] | NC2021-16 IBISML2021-16 pp.108-113 |
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