Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2022-11-24 10:20 |
Shiga |
(Primary: On-site, Secondary: Online) |
Reconstructing of Vocal Fold Vibration Video by Echo State Network and Dimensionality Reduction Tomu Noguchi, Kota Shiozawa, Isao Tokuda (Ritsumeikan Univ.) NLP2022-56 |
Video data provides an effective means for capturing the dynamics of experimental object. The dimensionality that actual... [more] |
NLP2022-56 pp.1-4 |
NLP |
2022-11-24 10:45 |
Shiga |
(Primary: On-site, Secondary: Online) |
Quantifying the dynamical instability of complex time series based on information entropy Kota Shiozawa, Isao Tokuda (Ritsumeikan Univ.) NLP2022-57 |
Various methods based on information entropy have been proposed to quantify the complexity of time series. One of the mo... [more] |
NLP2022-57 pp.5-8 |
NLP |
2022-11-24 11:10 |
Shiga |
(Primary: On-site, Secondary: Online) |
A Study on Compressed Sensing Using de Bruijn Sequence and CDMA Kaede Abe, Akio Tsuneda (Kumamoto Univ.) NLP2022-58 |
Compressive sensing is a data acquisition theory that enables signal reconstruction from a small number of measurements ... [more] |
NLP2022-58 pp.9-12 |
NLP |
2022-11-24 11:35 |
Shiga |
(Primary: On-site, Secondary: Online) |
A Study on Stochastic Computing Using Chaotic Binary Sequences Shun-ya Taga, Akio Tsuneda (Kumamoto Univ.) NLP2022-59 |
In stochastic computing (SC),numerical values are represented by the probability of 1’s in a random bit sequence.In SC,m... [more] |
NLP2022-59 pp.13-16 |
NLP |
2022-11-24 13:00 |
Shiga |
(Primary: On-site, Secondary: Online) |
Bifurcation to chaotic diffusion in the rotationally symmetric Mexican-hat type potential with one-dimensional excitation Hirotaka Tominaga (Saga Univ.) NLP2022-60 |
Rotational motion induced by vibration has been observed in various places and has been the subject of research.
We hav... [more] |
NLP2022-60 pp.17-20 |
NLP |
2022-11-24 13:25 |
Shiga |
(Primary: On-site, Secondary: Online) |
Analysis of a model particle motility based on non-markovian process with recurrence plots Chikoo Oosawa (KIT) NLP2022-61 |
[more] |
NLP2022-61 pp.21-26 |
NLP |
2022-11-24 13:50 |
Shiga |
(Primary: On-site, Secondary: Online) |
An expression that considers a column of a recurrence plot as the mathematical basis Masanori Shiro (AIST), Yoshito Hirata (Tsukuba Univ.) NLP2022-62 |
(To be available after the conference date) [more] |
NLP2022-62 pp.27-30 |
NLP |
2022-11-24 14:15 |
Shiga |
(Primary: On-site, Secondary: Online) |
Fast reconstruction of 3D chromosome structure based on an inverse transform of a recurrence plot Yoshito Hirata (U. Tsukuba) NLP2022-63 |
A recurrence plot was originally proposed as a two-dimensional tool for visualizing a time series (Eckmann et al., EPL 1... [more] |
NLP2022-63 pp.31-34 |
NLP |
2022-11-24 14:50 |
Shiga |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Hierarchical recurrence plot analysis for music waveform and MIDI as marked point process Miwa Fukino (Panasonic Holdings) NLP2022-64 |
A method for using recurrence plots (RPs) for music analysis is introduced. When analyzing music waveform data, one song... [more] |
NLP2022-64 p.35 |
NLP |
2022-11-24 15:50 |
Shiga |
(Primary: On-site, Secondary: Online) |
Investigation of the range in application of a neural network with spike timing in quantitative analysis of two gas mixtures Taiga Manabe, Katsumi Tateno (KIT), Osamu Nakamura (UT) NLP2022-65 |
Volatile organic compounds (VOCs) are useful substances in industry, but the effects of exposure to VOCs through inhalat... [more] |
NLP2022-65 pp.36-41 |
NLP |
2022-11-24 16:15 |
Shiga |
(Primary: On-site, Secondary: Online) |
Genetic programming supported by physics-inspired methods Soichiro Kanaya, Toma Takano, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ.) NLP2022-66 |
We study a symbolic regression technique to infer the equations of systems from the observed numerical data. Our method ... [more] |
NLP2022-66 p.42 |
NLP |
2022-11-24 16:40 |
Shiga |
(Primary: On-site, Secondary: Online) |
Photonic reservoir computing with optical microcavities Kohei Arai, Tomoya Yamaguchi, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.) NLP2022-67 |
Neural networks (NNs), which mimic the function of neural circuits in the brain, use electrons to perform arithmetic ope... [more] |
NLP2022-67 pp.43-48 |
NLP |
2022-11-24 17:05 |
Shiga |
(Primary: On-site, Secondary: Online) |
Haptic sensing based on deep learning and laser speckles Koyo Sagehashi, Kei Kitagawa, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.) NLP2022-68 |
In this study, we propose a haptic soft sensing approach based on optical scattering techniques and deep learning. The u... [more] |
NLP2022-68 pp.49-54 |
NLP |
2022-11-25 09:45 |
Shiga |
(Primary: On-site, Secondary: Online) |
Maximal period of sequences generated by fourth-order recurrence relations with two variables modulo 2^k Daisaburo Yoshioka, Takuma Nishizaka (Sojo Univ.) NLP2022-69 |
[more] |
NLP2022-69 pp.55-58 |
NLP |
2022-11-25 10:10 |
Shiga |
(Primary: On-site, Secondary: Online) |
Numerical simulation of electronically coupled vehicles based on mathematical model of surf scoters Satoshi Shibata, Toru Kawabe, Ikkyu Aihara (Tsukuba Univ) NLP2022-70 |
[more] |
NLP2022-70 pp.59-64 |
NLP |
2022-11-25 10:35 |
Shiga |
(Primary: On-site, Secondary: Online) |
On various periodic orbits in coupled digital spike maps Yuken Kijima, Toshimichi Saito (HU) NLP2022-71 |
A digital spike map (Dmap) is digital dynamical system defined on a set of points. Depending on parameters, the Dmap can... [more] |
NLP2022-71 pp.65-70 |
NLP |
2022-11-25 11:10 |
Shiga |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Chaotic time series and Ueda's theory of chaos Takaya Miyano (Ritsumeikan Univ.) NLP2022-72 |
In terms of Ueda’s theory of chaos, i.e., the concept of randomly transitional oscillations, we discuss the implications... [more] |
NLP2022-72 pp.71-72 |
NLP |
2022-11-25 13:00 |
Shiga |
(Primary: On-site, Secondary: Online) |
On a Biobjective Optimization Problem in Hysteresis associative memories Shinya Kujirai, Toshimichi Saito (HU) NLP2022-73 |
This paper studies a biobjective optimization problem in hysteresis neural networks as associative memories. The network... [more] |
NLP2022-73 pp.73-76 |
NLP |
2022-11-25 13:25 |
Shiga |
(Primary: On-site, Secondary: Online) |
On a biobjective optimization problem in a Simple Swiching Converter Ryunosuke Numata, Toshimichi Saito (HU) NLP2022-74 |
This paper studies a bi-objective optimization problem in a simple model of a boost converter with a current-model switc... [more] |
NLP2022-74 pp.77-81 |
NLP |
2022-11-25 13:50 |
Shiga |
(Primary: On-site, Secondary: Online) |
Stability analysis of partial amplitude death in delay-coupled oscillator networks with complete bipartite topologies Ryuya Kawano, Yoshiki Sugitani (Ibaraki Univ) NLP2022-75 |
In this report, we analyze the stability of partial amplitude death in delay-coupled oscillator networks with complete b... [more] |
NLP2022-75 pp.82-86 |