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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 141 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
HCS 2021-01-23
16:50
Online Online [Invited Talk] Embodiment as the basis of human communication -- An approach from movement science --
Kentaro Kodama (TMU)
This lecture provides a brief review of a communication study from the perspective of the dynamical systems approach, wh... [more]
CCS 2020-11-26
15:00
Online Online Analysis and learning of digital spike maps
Yuya Sawano, Toshimichi Saito (HU) CCS2020-17
A digital spike map is a simple digital dynamical system defined on a set of points.
Depending on parameters and initi... [more]
CCS2020-17
pp.1-5
IBISML 2020-10-21
14:40
Online Online IBISML2020-23 Continuous deep learning architectures have recently re-emerged as variants of Neural Ordinary Differential Equations (N... [more] IBISML2020-23
p.41
IBISML 2020-10-21
16:15
Online Online IBISML2020-25 Analysis and prediction of dynamic processes using data are fundamental in a variety of scientific and industrial fields... [more] IBISML2020-25
pp.43-44
MSS, NLP
(Joint)
2020-03-10
10:20
Aichi  
(Cancelled but technical report was issued)
Detecting unobserved nodes in networks of dynamical systems estimated only from time series data.
Yuuki Sakakibara, Yutaka Shimada, Takaomi Shigehara (Saitama Univ.) NLP2019-125
Real complex phenomena can be described as coupled dynamical systems, where many dynamical systems are coupled with each... [more] NLP2019-125
pp.71-76
MSS, NLP
(Joint)
2020-03-10
13:30
Aichi  
(Cancelled but technical report was issued)
Influence of Resolution of Time Series Data on Causality Detection
Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2019-128
In this report, we investigated the influence of resolution of time series data
on causality detection by Convergent C... [more]
NLP2019-128
pp.89-94
NC, MBE
(Joint)
2020-03-06
13:25
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
A finite state markov-chain approximation of the intermittent control model during human quiet standing using a finite element analysis of its Fokker-Planck equation
Keigo Togame, Akihiro Nakamura, Yasuyuki Suzuki, Taishin Nomura (Osaka Univ.) MBE2019-96
The intermittent control during human quiet standing is a hypothetical neural control strategy that we have proposed in ... [more] MBE2019-96
p.83
MBE, NC 2019-10-12
11:20
Miyagi   Composition of the digital spike maps based on SOM
Yuya Sawano, Toshimichi Saito (HU) MBE2019-42 NC2019-33
A digital spike map (Dmap) is a simple digital dynamical system defined on a set of points. The
steady state of the Dma... [more]
MBE2019-42 NC2019-33
p.65
MBE 2019-07-20
13:00
Tokushima   Analysis of a simple stochastic hybrid dynamical system using its Fokker-Planck equation
Keigo Togame, Akihiro Nakamura, Yasuyuki Suzuki, Taishin Nomura (Osaka Univ.) MBE2019-22
The intermittent control in human quiet standing is a hypothetical model that we proposed recently, in which a conventio... [more] MBE2019-22
pp.19-24
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
13:25
Okinawa Okinawa Institute of Science and Technology Analysis of periodic orbits in digital maps by a self-organizaition synthesis method
Yuya Sawano, Toshimichi Saito (HU) NC2019-2
Self-organizing learning of digital map is considered in this paper.
The digital map is a simple digital dynamical sys... [more]
NC2019-2
pp.3-7
RCC, MICT 2019-05-29
13:00
Tokyo TOKYO BIG SIGHT Dynamic Surveillance over Graphs by Multiple Agents -- On Feasibility Conditions --
Koichi Kobayashi (Hokkaido Univ.) RCC2019-1 MICT2019-1
The surveillance problem is to find optimal trajectories of agents that patrol a given area as evenly as possible. In th... [more] RCC2019-1 MICT2019-1
pp.1-4
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] On comparison of dynamical systems via Perron-Frobenius operators on reproducing kernel Hilbert spaces
Isao Ishikawa (RIKEN/Keio Univ.), Keisuke Fujii (RIKEN), Masahiro Ikeda (RIKEN/Keio Univ.), Yuka Hashimoto (Keio Univ.), Yoshinobu Kawahara (Osaka Univ/RIKEN.) IBISML2018-67
The development of a metric for structural data is a long-term problem in pattern recognition and machine learning. In t... [more] IBISML2018-67
pp.175-182
NC, MBE
(Joint)
2018-10-20
09:50
Miyagi Tohoku Univ. Dynamical Systems Modeling of Collective Phenomena Arising in Virtual Reality Live Concert Experience Systems Attended by Multiple People via Physiological Information
Ryota Horie, Kobayashi Shohei (SIT) MBE2018-28
We proposed and developed "virtual reality live concert experience systems attended by multiple people via physiological... [more] MBE2018-28
pp.7-12
NLP 2018-08-08
14:10
Kagawa Saiwai-cho Campus, Kagawa Univ. Development of Deep Neural Network for Initial Values Generation of Dynamical Image-Reconstruction System
Ken'ichi Fujimoto, Yuichi Tanji, Hiroyuki Kitajima, Yo Horikawa (Kagawa Univ.) NLP2018-56
One of the authors et al.¥ have proposed a continuous-time dynamical system for reconstructing tomographic images from a... [more] NLP2018-56
pp.21-24
IN, CCS
(Joint)
2018-08-01
14:00
Hokkaido Kitayuzawa Mori-no-Soraniwa [Invited Talk] Phase description and synchronization of collective rhythms in networks of coupled dynamical systems
Hiroya Nakao (Tokyo Tech.) CCS2018-25 IN2018-12
Collective rhythms in networks of coupled dynamical elements often play important functional roles in real-world systems... [more] CCS2018-25 IN2018-12
pp.1-6
NLP, CCS 2018-06-08
09:45
Kyoto Kyoto Terrsa Application of tensor decomposition to chaotic itinerancy time series
Takahiro Arai, Toshio Aoyagi (Kyoto Univ.) NLP2018-29 CCS2018-2
Tensor decomposition is a typical method for analyzing resting-state BOLD signals. This method can decompose the observe... [more] NLP2018-29 CCS2018-2
pp.7-12
NLP 2017-11-05
13:10
Miyagi Research Institute of Electrical Communication Tohoku University Analysis of solution search procedure of particle swarm optimization
Seinosuke Ishikawa, Kenya Jin'no (NIT) NLP2017-65
In order to clarify the solution search procedure of the particle swarm optimization, we have proposed a deterministic p... [more] NLP2017-65
pp.1-6
NLP 2017-05-12
11:25
Okayama Okayama University of Science Analysis of chaotic dynamical systems using the projection-operator method -- Similarity between dissipative and Hamiltonian dynamical system --
Hirotaka Tominaga (Saga Univ.) NLP2017-19
We aim to verify by theoretical development and numerical experiments of
a method to associate the transport coefficie... [more]
NLP2017-19
pp.93-97
NS, IN
(Joint)
2017-03-03
13:00
Okinawa OKINAWA ZANPAMISAKI ROYAL HOTEL Autonomous distributed control methods for wireless sensor networks based on nonlinear dynamics of frog choruses
Ikkyu Aihara (Tsukuba Univ.), Daichi Kominami, Yasuharu Hirano, Masayuki Murata (Osaka Univ.) IN2016-155
There are about 6500 species of frogs around the world. Most of the frog species are nocturnal in their habitat. In gene... [more] IN2016-155
pp.347-352
 Results 21 - 40 of 141 [Previous]  /  [Next]  
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