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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCS | 2024-03-03 16:40 |
Shizuoka | Tokoha University(Shizuoka-Kusanagi Campus) | Nonverbal interaction of patient-therapist coordination during gait rehabilitation
-- Application of recurrence analyses -- Kentaro Kodama (TMU), Kazuhiro Yasuda (TPU), Ryosaku Makino (Waseda)  HCS2023-113 |
(To be available after the conference date) [more] | HCS2023-113 pp.143-146 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 09:20 |
Tokushima | Naruto University of Education | Nonlinear analysis of vocal fold polyp data using recurrence plots Takuro Hirose, Kota Shiozawa, Isao Tokuda (Ritsumeikan Univ.), Miwa Fukino (Panasonic Holdings Corporation), Yoshiharu Soeta, Masanori Shiro (AIST) NLP2023-100 MICT2023-55 MBE2023-46 |
Vocal fold oscillations can be regarded as nonlinear dynamics. Under certain circumstances, e.g., voice pathology or sin... [more] | NLP2023-100 MICT2023-55 MBE2023-46 pp.82-85 |
| NLP | 2023-11-28 13:00 |
Okinawa | Nago city commerce and industry association | Recurrence quantification analysis on electroencephalographic (EEG) potentials of epileptic seizure Makoto Sekiguchi, Tohru Ikeguchi (TUS) NLP2023-63 |
In this report, we analyze the characteristics of electroencephalographic (EEG) potentials of healthy individuals and ep... [more] | NLP2023-63 pp.21-26 |
| NLP, MSS | 2023-03-15 16:15 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Correlation dimensions of EEG time series characterizing sleep stages in mice Kazuki Koyama (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2022-77 NLP2022-122 |
In this study, we estimate the embedding dimension, which is necessary for embedding EEG time series of mouse sleep into... [more] | MSS2022-77 NLP2022-122 pp.75-80 |
| IN, CCS (Joint) |
2022-08-05 10:30 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Detecting causality for spike trains based on reconstructing dynamical system from inter-spike intervals Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) CCS2022-36 |
In this report, by modifying a nonlinear method of detecting causality, we propose a method of detecting causality for p... [more] | CCS2022-36 pp.48-53 |
| 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 |
| NLP | 2019-05-10 13:50 |
Oita | J:COM HoltoHALL OITA | Structure estimation of a neural network using Inter-spike-interval Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Ikeguchi Tohru (TUS) NLP2019-3 |
In this paper, we apply the causal estimation method of Convergent Cross Mapping to a mathematical model of neural netwo... [more] | NLP2019-3 pp.13-18 |
| NLP | 2019-05-10 14:55 |
Oita | J:COM HoltoHALL OITA | Feature extraction of nonlinear time series signal by threshold variation of recurrence plot Shiki Kanamaru (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2019-5 |
In this report, we propose a feature extraction method of nonlinear time series by threshold variation of the recurrence... [more] | NLP2019-5 pp.23-28 |
| NLP, NC (Joint) |
2019-01-23 11:20 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | An analysis on chaotic marked point process using constrained random shuffled surrogate data Kohei Yamamoto (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2018-101 |
Marked point process data refer to a time series of discrete events with additional information. For example, se... [more] |
NLP2018-101 pp.29-34 |
| NLP | 2013-03-15 09:50 |
Chiba | Nishi-Chiba campus, Chiba Univ. | Analysis on real networks by classical multidimensional scaling Yong Gao, Kaori Kuroda (Saitama Univ.), Yutaka Shimada (Aihara Innovative Mathematical Modelling Project/JST), Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2012-162 |
In the real world, we have a wide variety of complex networks, such as Internet, neural networks, human relationships an... [more] | NLP2012-162 pp.91-96 |
| NLP | 2008-03-27 15:00 |
Hyogo | Analysis method of chaotic time series using measures of networks. Yutaka Shimada, Tohru Ikeguchi (Saitama Univ.) NLP2007-161 |
Complex phenomena are ubiquitous in the real world, for example, fluctuation of financial indices in a stock market, po... [more] |
NLP2007-161 pp.43-48 |
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