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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2024-03-13 13:55 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Improvement of TimesNet's Inception Module in Time Series Prediction Sayaka Tanaka, Masato Shirai (Shimane Univ.)  MSS2023-77 NLP2023-129 |
In recent years, time series forecasting has been actively researched. Time series prediction uses the continuity and pe... [more] | MSS2023-77 NLP2023-129 pp.35-37 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:50 |
Fukuoka | Development and Evaluation of the Water Flow Prediction Model for Remote Control of Sluice Gates in the Onga River Takahiro Ueno (Fukuoka Univ.), Koki Ozono (AJP), Masayoshi Ohashi (Fukuoka Univ.) SeMI2023-77 |
Our laboratory is engaged in the research and development of a system for the remote control and monitoring of sluice ga... [more] | SeMI2023-77 pp.37-41 |
|
| DC | 2024-02-28 13:40 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Test Point Selection Method for Multi-Cycle BIST Using Deep Reinforcement Learning Kohei Shiotani, Tatsuya Nishikawa, Shaoqi Wei, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Hiroshi Takahashi (Ehime Univ.) DC2023-98 |
Multi-cycle BIST is a test method that performs multiple captures for each scan pattern, proving effective in reducing t... [more] | DC2023-98 pp.23-28 |
| ICTSSL, CAS | 2024-01-25 09:55 |
Kanagawa | (Primary: On-site, Secondary: Online) |
A Note on Prediction Method for Road Surface Condition by LSTM Using Time Series Data in Winter Roads Kenta Motosaka, Kota Uenishi, Masahiro Yagi, Sho Takahashi, Toru Hagiwara (Hokkaido Univ.) CAS2023-83 ICTSSL2023-36 |
In snowy and cold regions, road surfaces change with snowfall, causing traffic accidents. If the road administrator ca... [more] | CAS2023-83 ICTSSL2023-36 pp.5-10 |
| 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 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 16:50 |
Tottori | (Primary: On-site, Secondary: Online) |
Flood forecasting in Matsue City using statistical methods Kazuki Yamamoto, Hitoshi Sakano, Hiroshi Yajima (Shimane Univ.) PRMU2023-23 |
In this study, we applied a statistical modeling approach to flood forecasting in rivers within Matsue City, examining a... [more] | PRMU2023-23 pp.43-46 |
| NC, MBE (Joint) |
2023-10-28 11:10 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Multi-step ahead time series prediction based on hierarchical reservoir computing with multiple memory capacity. Wenkai Yu, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ) NC2023-30 |
Reservoir computing has proven to be an efficient model in many areas, such as time series prediction. However, multi-st... [more] | NC2023-30 p.24 |
| IA | 2023-09-21 14:40 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Extracting context from external events using auxiliary information from network traffic data Eilaf M.A Babai, Koji Okamura (Kyushu Univ.) IA2023-13 |
Network traffic flow data is the main source of information about the network status, and it is constantly monitored to ... [more] | IA2023-13 pp.11-18 |
| WIT | 2023-06-16 16:15 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Proposing a Feature-Analysis Method of Finger-Movement Data for Predicting Cognitive Function of Elderly People Hayato Seiichi, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) WIT2023-6 |
In recent years, a growing body of research has suggested a relationship between cognitive function and manual dexterity... [more] | WIT2023-6 pp.30-35 |
| NLP, MSS | 2023-03-15 10:40 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Spectral analysis of synchropahsor data in a campus distribution grid: Comparison of numerical methods Munetaka Noguchi (Osaka Prefecture Univ.), Yoshihiko Susuki (Kyoto Univ.), Atsushi Ishigame (Osaka Metropolitan Univ.) MSS2022-64 NLP2022-109 |
Recently, the so-called micro-Phasor Measurement Unit (μPMU) with high-resolution capability has been expected as a new ... [more] | MSS2022-64 NLP2022-109 pp.11-16 |
| NLP, MSS | 2023-03-17 13:10 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Periodic Memory and Learning Chaotic Dynamical Systems in Hysteresis Reservoir Computing Tsukasa Saito, Kenya Jin'no (Tokyo City Univ.) MSS2022-100 NLP2022-145 |
Hysteresis Reservoir Computing, which applies a simple hysteresis network to the reservoir layer of reservoir computing,... [more] | MSS2022-100 NLP2022-145 pp.178-181 |
| IBISML | 2022-12-23 09:40 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Effect of memory unit initialization on performance for function approximation Yuto Terasawa, Jun Ohkubo (Saitama Univ.) IBISML2022-52 |
Many researchers have proposed various neural network models for learning time-series data, such as RNN, LSTM, and Trans... [more] | IBISML2022-52 pp.62-69 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Self-reported sentiment estimation with attention mechanism based on time-series physiological signals and word sequences Shun Katada, Shogo Okada (JAIST), Kazunori Komatani (Osaka Univ.) |
One of the main issues in the development of an adaptive dialogue system is to estimate a user's sentiment state in real... [more] | |
| RCC, ITS, WBS | 2022-12-14 14:05 |
Shiga | Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
Analysis of Propeller Signal Intensity Fluctuation Based on Time Series Image of a Drone Using Millimeter-Wave MIMO Radar Kenshi Ogawa, Masashi Kurosaki, Ryohei Nakamura, Hisaya Hadama (NDA) WBS2022-49 ITS2022-25 RCC2022-49 |
In recent years, drones have advanced rapidly and are widely used in society. However, along with their popular use, the... [more] | WBS2022-49 ITS2022-25 RCC2022-49 pp.83-88 |
| EE, OME, CPM | 2022-12-09 13:10 |
Tokyo | (Primary: On-site, Secondary: Online) |
Deposition of PMDA-ODA Polyamic Acid by Drop Cast Method and I-V Measurement of triboelectric generation Mahato Maeda, Dai Taguchi, Takaaki Manaka (Tokyo Tech) EE2022-23 CPM2022-78 OME2022-36 |
Dielectric materials have been fully utilized in capacitors as a medium for storing polarization energy. But now, these ... [more] | EE2022-23 CPM2022-78 OME2022-36 pp.24-29 |
| RISING (3rd) |
2022-10-31 10:30 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Validation of a Low Latency Method for Wireless LANs using Reinforcement Learning in a Thermal Power Plant Environment Daiki Yoda, Toshihisa Nabetani (Toshiba) |
In industry, the demand for wireless communications is increasing, and especially in control communication applications,... [more] | |
| HCS | 2022-10-27 13:50 |
Online | Online | Modeling of Animacy Perception Generation Processes Generated by Interaction
-- Examination of the influence of the stop-time of the object -- Yuna Adachi, Yoshimasa Tawatsuji, Tatsunori Matsui (Waseda Univ.) HCS2022-50 |
The purpose of this study is to construct a model for the process of generating animacy perception toward a robot during... [more] | HCS2022-50 pp.12-17 |
| SIP | 2022-08-25 14:15 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Multiresolution Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to Riverbed State Estimation Eisuke Kobayashi, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ.) SIP2022-54 |
In this report, we propose a method that incorporates multi-resolution representation into Convolutional-Sparse-Coded Dy... [more] | SIP2022-54 pp.25-30 |
| IN, CCS (Joint) |
2022-08-05 09:40 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Machine Learning-Based Network Traffic Prediction with Tunable Parameters Kaito Kuriyama, Kohei Watabe (Nagaoka Univ. of Tech.) IN2022-20 |
Network evaluation has become increasingly important in recent years. Network evaluation requires large amounts of traf... [more] |
IN2022-20 pp.27-32 |
| 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 |
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