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Technical Committee on Nonlinear Problems (NLP) (Searched in: 2021)
Search Results: Keywords 'from:2022-01-21 to:2022-01-21'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:05 |
Online | Online | Verification of gender identifiability and its sensitivity from heart rate data in Allstar heart rate variability big data analysis Itaru Kaneko, Emi Yuda (Tohoku Univ.)  NLP2021-85 MICT2021-60 MBE2021-46 |
We have verified the analysis of Allstar heart rate big data (big data of heart rate that we are analyzing). This time, ... [more] | NLP2021-85 MICT2021-60 MBE2021-46 pp.50-53 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:30 |
Online | Online | Development and Evaluation of an Optimal Attachment Position Selection System Using a Patch Type R-R Interval Telemeter and a Dedicated Application Mayu Nishio, Aoi Noguchi, Toshitaka Yamakawa (Kumamoto Univ) NLP2021-86 MICT2021-61 MBE2021-47 |
(To be available after the conference date) [more] | NLP2021-86 MICT2021-61 MBE2021-47 pp.54-56 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:55 |
Online | Online | Estimation of Human Ionic Balance Based on U-Na/K Index Emi Yuda (Tohoku Univ.), Junichiro Hayano (HBSL), Yuta Tarusawa (Tohoku Gakuin Univ.), Asahi Nishimura (Miyagi Univ. of Education), Itaru Kaneko (Tohoku Univ.) NLP2021-87 MICT2021-62 MBE2021-48 |
[more] | NLP2021-87 MICT2021-62 MBE2021-48 pp.57-60 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 15:35 |
Online | Online | On the Study of Stochastic Gradient Descent Learning using Weight Difference Propagation Shahrzad Mahboubi, Ryo Yamatomi, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2021-88 MICT2021-63 MBE2021-49 |
[more] | NLP2021-88 MICT2021-63 MBE2021-49 pp.61-66 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:00 |
Online | Online | On the Study of Second-Order Training Algorithm using Matrix Diagonalization based on Hutchinson estimation Ryo Yamatomi, Shahrzad Mahboubi, Hiroshi Ninomiya (Shonan Inst. Tec.) NLP2021-89 MICT2021-64 MBE2021-50 |
In this study, we propose a new training algorithm based on the second-order approximated gradient method, which aims to... [more] | NLP2021-89 MICT2021-64 MBE2021-50 pp.67-70 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:25 |
Online | Online | Lithium-ion Battery Internal Impedance Estimation and Evaluation of Deterioration Analysis Using Machine Learning Nishimura Yuichiro, Ito Hideaki, Fukui Masahiro (Ritsumeikan Univ) NLP2021-90 MICT2021-65 MBE2021-51 |
Electrochemical Impedance Spectroscopy analysis is known to be effective as a conventional state analysis technique for ... [more] | NLP2021-90 MICT2021-65 MBE2021-51 pp.71-76 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:50 |
Online | Online | Open circuit voltage estimation and evaluation of lithium-ion batteries using machine learning models Hideaki Ito, Shohei Irikuchi, Yuuichiro Nishimura, Masahiro Fukui (Ritsumeikan Univ) NLP2021-91 MICT2021-66 MBE2021-52 |
The open circuit voltage (OCV) of a lithium-ion battery is a necessary parameter for calculating the degradation state a... [more] | NLP2021-91 MICT2021-66 MBE2021-52 pp.77-82 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 15:35 |
Online | Online | Dynamical Characteristics of Instantaneous-Frequency-Based Micro-State for EEG signals in Schizophrenia. Daiya Ebina, Sou Nobukawa (Chiba Institute of Technology), Mitsuru Kikuchi, Takashi Ikeda, Tetsuya Takahashi (Kanazawa Univ.) NC2021-34 |
[more] | NC2021-34 pp.19-23 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:00 |
Online | Online | Analysis of Functional Connectivity of EEG during Driving Masahiro Tsurushima, Sou Nobukawa (ChibaTech), Nobuhiko Wagatsuma (Toho Univ.), Inagaki Keiichiro (Chubu Univ.) NC2021-35 |
It is desirable to elucidate the functional whole brain network related to driving proficiency. In a previous study, we ... [more] | NC2021-35 pp.24-29 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:25 |
Online | Online | Correspondence beween AlexNet model and Monkey Visual Cortices Nobuhiko Wagatsumama (Toho Univ.), Akinori Hidaka (Tokyo Denki Univ.), Hiroshi Tamura (Osaka Univ.) NC2021-36 |
[more] | NC2021-36 pp.30-33 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:50 |
Online | Online | Evaluation of fine-art generated by cycle generative adversarial networks through brain activity and introspection Ryunosuke Takagi, Keiichiro Inagaki (Chubu Univ) NC2021-37 |
[more] | NC2021-37 pp.34-36 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 09:40 |
Online | Online | Wellness Entertainment with Rubbing/Tactile Interface and Live-Generated Fractals/Sounds Yoichi Nagashima (SUAC) NLP2021-92 MICT2021-67 MBE2021-53 |
I have reported on "Mathematical Modeling" design using fractals and chaos at NLP research meetings. In this paper, I re... [more] | NLP2021-92 MICT2021-67 MBE2021-53 pp.83-86 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 10:05 |
Online | Online | Changes of High Frequency Oscillation just before the suppression of β-oscillation in rat hippocampal slices. Ryusei Maeda, Toyohiro Sawada, Kiyohisa Natsume (Kyutech) NLP2021-93 MICT2021-68 MBE2021-54 |
[more] | NLP2021-93 MICT2021-68 MBE2021-54 pp.87-92 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 10:30 |
Online | Online | On the relationship between properties of the hysteresis reservoir layer and the training output sequence Tsukasa Saito, Kenya Jin'no (Tokyo City Univ) NLP2021-99 MICT2021-74 MBE2021-60 |
Reservoir computing is a type of machine learning model that can be trained at low cost and fast. However, conventional ... [more] | NLP2021-99 MICT2021-74 MBE2021-60 pp.121-124 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 10:55 |
Online | Online | Optimization for global phase distribution control of weakly forced limit-cycle oscillators Yuzuru Kato, Hiroya Nakao (Tokyo tech) NLP2021-100 MICT2021-75 MBE2021-61 |
In this paper, we proposed a method for optimizing periodic input waveforms for phase distribution control of weakly for... [more] | NLP2021-100 MICT2021-75 MBE2021-61 pp.125-128 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 11:20 |
Online | Online | A response analysis of a system with time delay under non-Gaussian colored noise
-- Validity of Taylor expansion approximation for a time-delay term -- Hideto Fukushima, Ikuhiro Yamaguchi, Takahiro Tsuchida, Hiroya Nakao (Tokyo Tech) NLP2021-101 MICT2021-76 MBE2021-62 |
The response characteristics of dynamical systems to random signals have been studied widely, e.g., in vibration control... [more] | NLP2021-101 MICT2021-76 MBE2021-62 pp.129-134 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 09:00 |
Online | Online | Various Healthcare Methods to Improve Concentration based on Health-Media-Design Yasutami Chigusa, Naoki Yano (TUT) NLP2021-95 MICT2021-70 MBE2021-56 |
[more] | NLP2021-95 MICT2021-70 MBE2021-56 pp.99-102 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 09:25 |
Online | Online | Encouraging Elderly Self-Care by Integrating Speech Dialogue Agent and Wearable Device Hayato Ozono, Sinan Chen, Masaki Saga, Masahide Nakamura (Kobe Univ.) NLP2021-96 MICT2021-71 MBE2021-57 |
Currently, Japan has entered a super-aging society. We develop a listening service using a spoken dialogue agent as a sy... [more] | NLP2021-96 MICT2021-71 MBE2021-57 pp.103-108 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 09:50 |
Online | Online | Integration Analysis of Heterogeneous Data on Mind Externalization of Elderly People at Home Sinan Chen, Hayato Ozono, Masahide Nakamura (Kobe Univ.) NLP2021-97 MICT2021-72 MBE2021-58 |
As the aging population around the world, analyzing reasons for changes in the health status of elderly people at home h... [more] | NLP2021-97 MICT2021-72 MBE2021-58 pp.109-114 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 10:15 |
Online | Online | Development of Novel Heat Stroke Detection System with Personalized WBGT Takunori Shimazaki (Jikei Univ. of Health Care Sci.), Shingo Ata (Osaka City Univ.), Yoshifumi Kawakubo (Jikei Univ. of Health Care Sci.), Daisuke Anzai (Nagoya Institute of Tech.) NLP2021-98 MICT2021-73 MBE2021-59 |
[more] | NLP2021-98 MICT2021-73 MBE2021-59 pp.115-120 |
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