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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 71  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2024-03-12
14:45
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Visualization of the learning process of ResNet revealing its learning dynamics
Ryodo Yuge, Takashi Shinozaki (Kindai Univ.) NC2023-59
We visualize the impact of skip connections, a key element in residual networks (ResNet), and visualize its impact on th... [more] NC2023-59
p.94
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
OFT 2022-10-13
09:30
Kanagawa Kanagawa-Kenmin Center
(Primary: On-site, Secondary: Online)
[Poster Presentation] Dynamic strain measurement by OFDR employing high-speed wavelength-swept laser
Ryota Ogu, Daiki Tanimura, Chao Zhang, Fumihiko Ito (Shimane Univ.), Yuichi Yoshimura, Hiroyuki Aoshika, Michio Imai (KAJIMA) OFT2022-23
We constructed an optical frequency domain reflectometry using a broadband, high-speed wavelength swept laser with a MEM... [more] OFT2022-23
pp.20-24
ICTSSL 2022-07-29
15:30
Osaka Kansai University
(Primary: On-site, Secondary: Online)
[Invited Talk] Application of dynamics-based pedestrian simulation
Toshihiro Kawaguchi (Kansai Univ.) ICTSSL2022-16
Pedestrian simulations can be divided into rule-based and dynamics-based models regarding to the self-driving properties... [more] ICTSSL2022-16
pp.30-35
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
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
SDM 2020-11-19
13:10
Online Online [Invited Talk] Toward unification of large-scale first-principles calculations and device/process simulators
Atsushi Oshiyama (Nagoya Univ.) SDM2020-24
I report our first-principles calculations which clarify elementary processes in the epitaxial growth of GaN. We find th... [more] SDM2020-24
pp.11-14
EE, IEE-SPC 2020-07-10
10:40
Online Online (Zoom) Dynamics of Bi-directional Dual Active Bridge Converter with Power-Feedback Control for DC-Grid Connection
Yasushi Eto, Yuichi Noge, Masahito Shoyama (Kyushu Univ.) EE2020-9
This research discusses a dynamics of Dual Active Bridge (DAB) bi-directional converter for a power transfer between DC ... [more] EE2020-9
pp.25-29
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
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Effectiveness of working memory training game that utilize dynamic visual stimuli for children with ADHD
Shuhei Kanayama, Masahiko Nawate, Fumihito Ito, Takehiro Minamoto (Shimane Univ.)
In recent years, a number of studies have focused on game-based learning/training for children with developmental disabi... [more]
NLP, CAS 2019-10-22
16:45
Gifu Gifu Univ. On transition from periodic orbits to fixed points in simple neural networks
Yuki Kawamura, Toshimichi Saito (HU) CAS2019-37 NLP2019-77
A dynamic binary neural network is a recurrent-type neural network
characterized by cross-connection parameters and sig... [more]
CAS2019-37 NLP2019-77
pp.71-75
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
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
09:20
Kyoto Kyoto Terrsa A Study on Distributed Control of Power Packet Distribution Network based on Consensus Model
Seongcheol Baek (Kyoto Univ.), Hiroyasu Ando (Univ. of Tsukuba), Takashi Hikihara (Kyoto Univ.) NLP2018-28 CCS2018-1
Power packet transmission network can manage the distributed power sources flexibly. In particular, the transmission net... [more] NLP2018-28 CCS2018-1
pp.1-5
MBE, NC
(Joint)
2018-05-19
15:20
Toyama Univ. of Toyama On Stability of Sparse Binary Neural Networks
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NC2018-3
The dynamic binary neural network is characterized by ternary connection parameters and the signum activaion function.
... [more]
NC2018-3
pp.9-13
RCS, SR, SRW
(Joint)
2018-03-02
10:50
Kanagawa YRP Spectrum usage model for Smart Spectrum Access
Kento Yamada, Kenta Umebayashi (TUAT), Janne Lehtomaki, Shashika Manosha Kapuruhamy Badalge (Univ. of Oulu) SR2017-133
In a smart spectrum access, the statistical information in terms of spectrum usage can enhance a spectrum sharing dramat... [more] SR2017-133
pp.109-116
EMD 2017-11-17
14:10
Tokyo The University of Electro-Communications Simulation on metal droplet sputtering and molten pool on copper contact under electric arc
Kai Bo (Harbin Inst. of Tech.), Xue Zhou, Guofu Zhai (HIT), Mo Chen (Tokyo Inst. of Tech.) EMD2017-49
The mechanism of molten pool and metal droplet sputtering are significant to the material erosion caused by breaking or ... [more] EMD2017-49
pp.37-42
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-24
09:30
Okinawa Okinawa Institute of Science and Technology Elementary cellular automata and dynamic binary neural networks
Takahiro Ozawa, Kazuma Makita, Toshimichi Saito (Hosei Univ.) NC2017-13
This paper studies basic dynamic of elementary cellular automata(ECA):
digital dynamical systems in which time, space a... [more]
NC2017-13
pp.93-97
SR 2017-05-25
13:00
Tokyo Tokyo big sight A study on measurement parameter setting method considering spectrum usage characteristics in spectrum measurement
Yoshitaka Tamaki, Kenta Umebayashi (TUAT) SR2017-5
In this paper, a parameter setting for signal processing in a wide-band spectrum usage measurement which observe multipl... [more] SR2017-5
pp.25-31
 Results 1 - 20 of 71  /  [Next]  
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