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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 |
|
| 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 |
| 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 |
| 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 |
| NLP, CAS | 2023-10-06 10:30 |
Gifu | Work plaza Gifu | Prediction and detection for extreme events of semiconductor laser using echo state network Shoma Ohara (Tokyo Univ. of Tech.), Kazutaka Kanno, Atsushi Uchida (Saitama Univ.), Hiroaki Kurokawa (Tokyo Univ. of Tech.) CAS2023-33 NLP2023-32 |
Intermittent chaos is a one of nonlinear dynamics of a semiconductor laser with optical-feedback. Intermittent chaos con... [more] | CAS2023-33 NLP2023-32 p.13 |
| NLP, CAS | 2023-10-06 16:20 |
Gifu | Work plaza Gifu | Investigating the Learning Performance of Hysteresis Reservoir Computing Kenta Yokoyama, Kenya Jin'no (Tokyo City Univ.) CAS2023-46 NLP2023-45 |
Reservoir computing can acquire larger memory capacity and higher expressive power by properly designing the internal st... [more] | CAS2023-46 NLP2023-45 pp.70-73 |
| 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 |
| SANE | 2023-05-23 11:40 |
Kanagawa | Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
NDVI prediction with SAR data using time series features Raiki Kudo (UTokyo), Seiseke Fukuda (JAXA) SANE2023-7 |
The Normalized Difference Vegetation Index (NDVI) is used to determine the growth of crops, the condition of cultivated ... [more] | SANE2023-7 pp.36-41 |
| CCS | 2023-03-26 10:35 |
Hokkaido | RUSUTSU RESORT | Acquisition of physical kinetics of machines by reservoir computing Sena Kojima, Koki Minagawa, Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2022-67 |
This report focuses on an anomaly detection application of a machine’s dynamical system using reservoir computing. We pr... [more] | CCS2022-67 pp.25-30 |
| IN, NS (Joint) |
2023-03-02 10:40 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Video Metrics Prediction Method Using Packet Timeseries Features for Video Streaming Services Junki Oura, Akihiro Wada, Masatoshi Ogawa, Jun Kakuta, Kaoru Yokoo, Teruhisa Ninomiya (Fujitsu) NS2022-173 |
Recently, a lot of network traffic is generated from video streaming services. In video streaming services, encode qual... [more] |
NS2022-173 pp.37-42 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 16:40 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Separate Predictive Time Series Reconstruction using Independent Low-Rank Matrix Analysis Hibiki Izumi, Jun Rokui (Univ of Shizuoka) PRMU2022-95 IBISML2022-102 |
Time series forecasting is the field to predict future values from past values, and various methods have been proposed. ... [more] |
PRMU2022-95 IBISML2022-102 pp.187-192 |
| 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 |
| 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 |
| NLP | 2022-08-02 09:25 |
Online | Online | Performance Evaluation of Time Series Forecasting with Chaotic Neural Network Reservoir using ReLU Derived Functions Tatsuya Saito, Misa Fujita (Chukyo Univ.) NLP2022-27 |
Reservoir computing has been attracting attention in recent years. It can learn time-series data at high speed. Th... [more] |
NLP2022-27 pp.7-10 |
| MBE | 2022-07-23 13:50 |
Online | Online | Pilot Study on Early Prediction of Sleep Apnea Based on Heart Rate Variability Time-Series Forecasting Muhammad Shaufil Adha, Tomohiko Igasaki (Kumamoto Univ.) MBE2022-14 |
A widely accepted alternative to address the continuous positive airway pressure adherence problem is the use of its aut... [more] | MBE2022-14 pp.9-12 |
| LOIS, IPSJ-DC | 2022-07-07 11:00 |
Online | Online | Greenhouse Microclimate Prediction based on Neural Networks Mujawamariya Marie Grace (Univ. of Tsukuba), Toshiyuki Amagasa (CCS, Univ. of Tsukuba), Naoya Fukuda (Univ. of Tsukuba) LOIS2022-4 |
Multivariate time series prediction approaches have been significant in wide range of real-world application. This paper... [more] | LOIS2022-4 pp.1-6 |
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