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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 10:30 |
Tokushima | Naruto University of Education | Estimation of Determinism for Imaging Photoplethysmogram Ayane Mine, Nina Sviridova (TCU)  NLP2023-86 MICT2023-41 MBE2023-32 |
Photoplethysmography is a method of acquiring biological information by irradiating light onto the fingertip and measuri... [more] | NLP2023-86 MICT2023-41 MBE2023-32 pp.16-20 |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Liouvillian spectral analysis for dynamics of open quantum systems via dynamic mode decomposition Yuzuru Kato (FUN), Hiroya Nakao (Tokyo Tech) |
Dynamic mode decomposition (DMD) is a data-driven method for the estimation, prediction, and control of complex dynamica... [more] | |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Sparse identification of quantum dynamics via quantum circuit learning Yusei Tateyama, Yuzuru Kato (FUN) |
Sparse Identification of Nonlinear Dynamics (SINDy) is a data-driven method for estimation and prediction of nonlinear d... [more] | |
| NLP | 2023-11-28 11:15 |
Okinawa | Nago city commerce and industry association | Dynamics of Reservoir in Echo State Network Shion Yoshida, Tohru Ikeguchi (TUS) NLP2023-62 |
Reservoir computing is one of the frameworks for machine learning for fast and highly accurate analysis of time series a... [more] | NLP2023-62 pp.15-20 |
| NLP | 2023-05-13 15:20 |
Fukushima | Kenshin Koriyama Cultural Center (Koriyama, Fukushima) | Basic study of nonlinear phenomena in high step-up DC-DC converter with TEM Ayuto Yokota (Okayama Univ. of Science), Takuji Kousaka (Chukyo Univ.), Shota Uchino, Hiroyuki Asahara (Okayama Univ. of Science) NLP2023-10 |
The main purpose of this research is to analyze the behavior of a high step-up ratio DC-DC converter connected to a ther... [more] | NLP2023-10 pp.41-44 |
| NLP, MSS | 2023-03-16 10:20 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Calculation of Lyapunov Exponent for Imaging Photoplethysmogram Hirofumi Nakayama, Nina Sviridova, Tohru Ikeguchi (TUS) MSS2022-81 NLP2022-126 |
Photoplethysmogram is a biological signal of the cardiovascular system that measures changes in the amount of light refl... [more] | MSS2022-81 NLP2022-126 pp.95-99 |
| NC, NLP | 2023-01-28 10:40 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Study on minimal diagonal line length effect on recurrence quantification analysis. Nina Sviridova, Tohru Ikeguchi (TUS) NLP2022-83 NC2022-67 |
The recurrence plot visualizes the complex multidimensional system’s dynamics as a two-dimensional binary image. Applied... [more] | NLP2022-83 NC2022-67 pp.11-15 |
| NLP | 2022-11-25 14:15 |
Shiga | (Primary: On-site, Secondary: Online) |
Synchronization of Coupled Nonlinear Sampled-data Systems with Transmission Delays Takuya Misawa, Toshiki Oguchi (Tokyo Metropolitan Univ.) NLP2022-76 |
First, we consider two nonlinear sampled-data systems bidirectionally coupled via transmission delay couplings. Reducing... [more] | NLP2022-76 pp.87-90 |
| NLP | 2022-11-25 15:15 |
Shiga | (Primary: On-site, Secondary: Online) |
Towards Defining Minimal Time Series Length for Normalized Recurrence Quantification Analysis Nina Sviridova, Tohru Ikeguchi (TUS) NLP2022-78 |
Estimating the minimal required time series length is an important problem in many applied studies. In our previous stud... [more] | NLP2022-78 pp.97-102 |
| SDM, ED, CPM | 2022-05-27 15:50 |
Online | Online | Study on semiconductor-based nonlinear dynamic node for physical reservoir computing system Seiya Kasai, Shunsuke Saito (Hokkaido Univ.) ED2022-12 CPM2022-6 SDM2022-19 |
Reservoir computing is a framework of the neural network-based machine learning for time series. In this system, design ... [more] | ED2022-12 CPM2022-6 SDM2022-19 pp.21-24 |
| 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 |
| QIT (2nd) |
2021-11-30 13:30 |
Online | Online | [Poster Presentation]
Synchronization analysis of a quantum nonlinear oscillator using continuous measurement Yuhi Adachi, Yuzuru Kato, Hiroya Nakao (Tokyo tech) |
In this study, we analyze quantum synchronization of a quantum van der Pol oscillator with a harmonic drive using quantu... [more] | |
| MBE, NC (Joint) |
2021-10-29 11:40 |
Online | Online | A numerical study on the relationship between complexity and accuracy of neural networks based on ordinary differential equations Kaoru Esashika, Jun Ohkubo (Saitama Univ.) NC2021-26 |
In recent years, many reports have been published on deep neural networks. The residual networks have contributed to rem... [more] | NC2021-26 pp.46-50 |
| NC, NLP (Joint) |
2021-01-22 12:05 |
Online | Online | Low Frequency Oscillation in a Current Controlled DC-DC Converter with Photovoltaic Model Shota Uchino (Okayama Univ. of Sci.), Takuji Kousaka (Chukyo Univ.), Satoshi Aoki, Hiroyuki Asahara (Okayama Univ. of Sci.) NLP2020-51 |
In this study, we analyze stability of the DC-DC converter with photovoltaic module. First, we explain the stability ana... [more] | NLP2020-51 pp.58-63 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-08 14:50 |
Online | Online | [Invited Talk]
Dissipativity-Based Stability Analysis of Networked Nonlinear Descriptor Systems and Its Application to Power Grids Chiaki Kojima (Toyama Prefectural Univ.) RCC2020-2 NS2020-31 RCS2020-66 SR2020-9 SeMI2020-3 |
This paper pursues to construct a theoretical framework which can efficiently capture the dynamics of large-scale hetero... [more] | RCC2020-2 NS2020-31 RCS2020-66 SR2020-9 SeMI2020-3 pp.1-6(RCC), pp.1-6(NS), pp.49-54(RCS), pp.1-6(SR), pp.1-6(SeMI) |
| NLP, CAS | 2019-10-23 09:05 |
Gifu | Gifu Univ. | On a Path Integral Formulation of Dynamics of a Nonlinear RLC Reciprocal Circuit Hideaki Okazaki (SIT) CAS2019-39 NLP2019-79 |
In this report, a path integral formulation of dynamics of a nonlinear RLC reciprocal circuit described by Brayton-Moser... [more] | CAS2019-39 NLP2019-79 pp.83-86 |
| NLP | 2019-09-24 10:15 |
Kochi | Eikokuji Campus, University of Kochi | On a Numerical Model of Synchronization Phenomenon observed in Passive Walking Robots on a Movable Base Naoya Suruga, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2019-52 |
In this study, we investigate the synchronization phenomenon observed in the passive walking robot on the moving base in... [more] | NLP2019-52 pp.87-92 |
| MSS, CAS, SIP, VLD | 2019-07-31 10:25 |
Iwate | Iwate Univ. | On a Quantum Mechanical Representation of Dynamics of a Nonlinear RLC Reciprocal Circuit Hideaki Okazaki (SIT) CAS2019-14 VLD2019-20 SIP2019-30 MSS2019-14 |
In this report, a quantum mechanical representation of dynamics of a nonlinear RLC reciprocal circuit described by Brayt... [more] | CAS2019-14 VLD2019-20 SIP2019-30 MSS2019-14 pp.61-64 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-21 11:10 |
Fukuoka | [Invited Talk]
Reservoir Computing: Theory, Physical Implementations, and Applications Kohei Nakajima (Univ. Tokyo) PRMU2018-60 IBISML2018-37 |
Reservoir Computing (RC) has been proposed as a framework for training recurrent neural networks. In this framework, low... [more] | PRMU2018-60 IBISML2018-37 pp.149-154 |
|
| NLP, CCS | 2018-06-08 15:15 |
Kyoto | Kyoto Terrsa | AGVs Dsipatch Timing Control for Self-synchronized Production in a Cellular Manufacturing System Takehiro Itou (NEC), Keiji Konishi (Osaka Prefecture University), Hisaya Wakayama, Kumiko Tadano, Yoshiharu Maeno (NEC) NLP2018-38 CCS2018-11 |
In cellular manufacturing factories composed of many processes, synchronized production is desirable in order to keep hi... [more] | NLP2018-38 CCS2018-11 pp.57-62 |
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