Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 09:00 |
Online |
Online |
Atsuya Tamakoshi, Kaito Kato (Chukyo Univ.), Hiroyuki Asahara (Okayama Univ. of Sci.), Shu Karube (NIT, Oita College), Takuji Kousaka (Chukyo Univ.) NLP2021-69 MICT2021-44 MBE2021-30 |
[more] |
NLP2021-69 MICT2021-44 MBE2021-30 pp.1-4 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 09:25 |
Online |
Online |
A Basic Study of Nonlinear Phenomena in DC-DC Converter Connected to TEM Daiki Hozumi, Arata Makino, Chihiro Kondo (Okayama Univ. of Science), Shota Uchino (NIT, Anan College), Takuji Kousaka (Chukyo Univ.), Satoshi Aoki, Hiroyuki Asahara (Okayama Univ. of Science) NLP2021-70 MICT2021-45 MBE2021-31 |
In this research, we investigate dynamic behavior the operation of a power conversion circuit with a thermoelectric modu... [more] |
NLP2021-70 MICT2021-45 MBE2021-31 pp.5-8 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 09:50 |
Online |
Online |
Homoclinic points calculation method in two-dimensional discrete dynamical systems with particle swarm optimization Tatsumi Makino (Chukyo Univ.), Haruna Matsushita (Kagawa Univ.), Yuu (Tokyo Univ. of Technology), Takuji Kousaka (Chukyo Univ.) NLP2021-71 MICT2021-46 MBE2021-32 |
[more] |
NLP2021-71 MICT2021-46 MBE2021-32 pp.9-12 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 10:15 |
Online |
Online |
Verifying robustness of parameter space estimation against dynamical noise for predicting a critical transition of vegetation biomass Yoshitaka Itoh (Hokkaido Univ. of Sci.) NLP2021-72 MICT2021-47 MBE2021-33 |
This paper verifies robustness of a parameter space estimation when the estimation method is applied to predict a critic... [more] |
NLP2021-72 MICT2021-47 MBE2021-33 pp.13-16 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 09:00 |
Online |
Online |
Examination of search system using P300 response Ryoichi Sekiguchi, Masaki Kawakatsu (TDU) NLP2021-73 MICT2021-48 MBE2021-34 |
The P300 response is a type of electric potential induced by external visual and auditory stimuli, and appears in the in... [more] |
NLP2021-73 MICT2021-48 MBE2021-34 pp.17-20 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 09:25 |
Online |
Online |
Development of BCI based on Steady-State Somatosensory Evoked Potential Kenji Abe, Masaki Kawakatsu (TDU) NLP2021-74 MICT2021-49 MBE2021-35 |
The Brain-Computer-Interface (BCI) is notable technology. The main theme of BCI study is that using motor imagery. Howev... [more] |
NLP2021-74 MICT2021-49 MBE2021-35 pp.21-24 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 09:50 |
Online |
Online |
Comparison of Multimodal Cortical Activity in Focal and Generalized Epileptic Seizures Using a Multimodal Probe Manami Wakuya (KU), Takao Inoue, Imoto Hirochika, Nomura Sadahiro, Maruta Yuich, Suzuki Michiyasu (YU), Toshitaka Yamakawa (KU) NLP2021-75 MICT2021-50 MBE2021-36 |
It has been revealed that epileptic brain activity was observed via not only electrocorticography (ECoG), but also corti... [more] |
NLP2021-75 MICT2021-50 MBE2021-36 pp.25-27 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 10:15 |
Online |
Online |
Suppression of early morning hypertension by applying the mechanism of light stimulus response and sympathetic nerve activation enhancement Emi Yuda (Tohoku Univ.), Yuta Tarusawa (Tohoku Gakuin Univ.), Asahi Nishimura (MUE) NLP2021-76 MICT2021-51 MBE2021-37 |
[more] |
NLP2021-76 MICT2021-51 MBE2021-37 pp.28-30 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 10:55 |
Online |
Online |
Recognition Using YOLOv5 for Degraded Images on Image Sensor Communication Hiroko Matsuda, Haruna Matsushita (Kagawa Univ), Shintaro Arai (Okayama Univ of Sci.) NLP2021-77 MICT2021-52 MBE2021-38 |
This paper focuses on the image sensor communication (ISC) and propose a signal
demodulation method using You Only Loo... [more] |
NLP2021-77 MICT2021-52 MBE2021-38 pp.31-34 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:20 |
Online |
Online |
Multimodal sensing using optical scattering from soft materials and deep learning Sho Shimadera, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-78 MICT2021-53 MBE2021-39 |
(To be available after the conference date) [more] |
NLP2021-78 MICT2021-53 MBE2021-39 p.35 |
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] |
2022-01-21 12:10 |
Online |
Online |
Analysis of nonlinearly mixed noise Fumihiko Ishiyama (NTT) NLP2021-107 MICT2021-82 MBE2021-68 |
We are investigating countermeasure technique against electro-magnetic noise. We applied our method to the analysis of e... [more] |
NLP2021-107 MICT2021-82 MBE2021-68 pp.159-162 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 10:55 |
Online |
Online |
A System for Estimating Individual Differences of Perceptual Information in the Brain via Brain-activity Prediction by Convolutional Neural Networks Kiichi Kawahata (Osaka Univ.), Antoine Blanc (NICT), Naoya Maeda (NTT Data), Shinji Nishimoto (Osaka Univ.), Satoshi Nishida (NICT) NC2021-31 |
Our brains shape individual differences of perception by responding to sensory inputs differently across individuals. Th... [more] |
NC2021-31 pp.1-6 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:20 |
Online |
Online |
A Study on Elucidating Hierarchical Neural Processing of Visual and Semantic Information using Deep Learning Haruka Kawasaki (Ochadai), Satoshi Nishida (NICT), Ichiro Kobayashi (Ochadai) NC2021-32 |
As an objective to explore the neural hierarchical processing underlying the transition from visual to semantic informat... [more] |
NC2021-32 pp.7-12 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:45 |
Online |
Online |
Estimation of Cognitive Function by Multi-scale Entropy Analysis in EEG Signals Yuta Iinuma, Sou Nobukawa (CIT), Kimoko Mizukami (KU), Megumi Kawaguchi (FU), Yuji Tanaka (AMH), Masato Higashima (SH), Tetuya Takahashi (FU) NC2021-33 |
[more] |
NC2021-33 pp.13-18 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 13:40 |
Online |
Online |
Interspecific competition dynamics solving multi-armed bandit problems in reinforcement learning Tomoaki Niiyama, Genki Furuhata (Kanazawa Univ.), Atsushi Uchida (Saitama Univ.), Makoto Naruse (Univ. of Tokyo), Satoshi Sunada (Kanazawa Univ.) NLP2021-80 MICT2021-55 MBE2021-41 |
[more] |
NLP2021-80 MICT2021-55 MBE2021-41 p.37 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:05 |
Online |
Online |
Ultra fast optical random pattern generation and its application to image recognition Jinsei Hanawa, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-81 MICT2021-56 MBE2021-42 |
(To be available after the conference date) [more] |
NLP2021-81 MICT2021-56 MBE2021-42 p.38 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:30 |
Online |
Online |
Learning Equation of Dynamical Systems Misaki Kondo, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ) NLP2021-82 MICT2021-57 MBE2021-43 |
(To be available after the conference date) [more] |
NLP2021-82 MICT2021-57 MBE2021-43 pp.39-42 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:55 |
Online |
Online |
The Charge-Discharge Profile Estimation of Lithium-Ion Batteries Considering Degradation Trend Transitions Masahito Arima, Lei Lin (Daiwa Can), Masahiro Fukui (Ritsumeikan) NLP2021-83 MICT2021-58 MBE2021-44 |
[more] |
NLP2021-83 MICT2021-58 MBE2021-44 pp.43-48 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 13:40 |
Online |
Online |
Longitudinal Study on Autonomic Nervous System Activity in the Normal Young Subjects Hideo Nakamura (OECU) NLP2021-84 MICT2021-59 MBE2021-45 |
[more] |
NLP2021-84 MICT2021-59 MBE2021-45 p.49 |