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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 |
| RCS, SR, SRW (Joint) |
2024-03-14 10:15 |
Tokyo | The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study on Time Variable Prediction using Packet Capture Data Acquired by Inexpensive Devices Ayuka Morishige, Hideya So (SIT) SR2023-96 |
To improve spectrum utilization efficiency, spectrum sharing access has been considered in which multiple wireless syste... [more] | SR2023-96 pp.46-48 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 09:40 |
Tokushima | Naruto University of Education | Data-driven flood forecasting based on delay-coordinates Satoshi Oishi (Osaka Univ.), Kenji Komiya (NTT), Hideyuki Suzuki, Sho Shirasaka (Osaka Univ.) NLP2023-84 MICT2023-39 MBE2023-30 |
(To be available after the conference date) [more] | NLP2023-84 MICT2023-39 MBE2023-30 pp.8-11 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 17:10 |
Tokushima | Naruto University of Education | Short-term prediction of a propagating flame in a Hele-Shaw cell using LSTM Taisuke Yamamoto, Kosuke Iizuka, Yusuke Nabae, Hiroshi Gotoda (TUS) NLP2023-119 MICT2023-74 MBE2023-65 |
(To be available after the conference date) [more] | NLP2023-119 MICT2023-74 MBE2023-65 pp.166-169 |
| 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 |
| 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 |
| 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 |
| 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 | 2022-08-02 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 |
| CCS | 2022-03-27 09:00 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Construction and Evaluation of Physical Reservoir Based on CNT/Molecular Networks Kento Igarashi, Tetsuya Asai, Megumi Akai (Hokkaido Univ.) CCS2021-36 |
Previous studies have suggested that a network consisting of carbon nanotubes ( CNT ) and polyacid molecules ( POM ) may... [more] | CCS2021-36 pp.1-6 |
| MICT, EMCJ (Joint) |
2022-03-04 16:25 |
Online | Online | A synchronized measurement system for WBAN channel modeling by human motion parameters Akira Saito, Takahiro Aoyagi (Tokyo Tech) MICT2021-111 |
The development of WBAN channel models requires a lot of experiments and simulations. In order to reduce the number of e... [more] | MICT2021-111 pp.53-58 |
| AI | 2022-02-28 11:00 |
Miyazaki | Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
Behavior Prediction of Cervus nippon Considering Environmental Factors by Time-Series Transformer Kentaro Kazama, Katsuhide Fujita, Shinsuke Koike (TUAT) AI2021-15 |
In order to prevent damage to agriculture and forestry caused by wild animals, new wildlife management methods are requi... [more] | AI2021-15 pp.19-24 |
| IN | 2022-01-18 11:35 |
Online | Online | Evaluation on Prediction Method for Missing Probability of Sensor Value based on Hierarchical Structure of Missing Value Norifumi Hirata, Osamu Maeshima, Kiyohito Yoshihara (KDDI Research) IN2021-25 |
Collecting sensor data via networks is important for IoT (Internet of Things) services.However, sensors sometimes have m... [more] | IN2021-25 pp.7-12 |
| PRMU | 2021-12-16 15:15 |
Online | Online | Multivariate time series forecasting accuracy improvement method based on LSTNet Hayato Sano, Jun Rokui (Univ of Shizuoka) PRMU2021-37 |
Multivariate time series forecasting is a field to predict future values by analyzing the past of multiple time series d... [more] | PRMU2021-37 pp.71-76 |
| PRMU | 2021-12-17 15:15 |
Online | Online | An LSTM-based prefetcher exploiting delta correlation Hiroki Taniai, Tomoki Nakamura, Toru Koizumi, Yuya Degawa, Hidetsugu Irie, Shuichi Sakai, Ryota Shioya (Tokyo Univ.) PRMU2021-53 |
Prefetching is one of the major hardware techniques to improve the execution performance of programs in modern processor... [more] | PRMU2021-53 pp.160-164 |
| CCS | 2021-11-19 13:00 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
Physical reservoir computing on analog-digital hybrid circuit systems consisting of discrete semiconductor devices Yuki Abe, Kose Yoshida (Hokkaido Univ), Megumi Akai-Kasaya (Hokkaido Univ/Osaka Univ), Tetsuya Asai (Hokkaido Univ) CCS2021-30 |
This report describes machine learning process & benchmarks by using physical reservoir computing device. We design phys... [more] | CCS2021-30 pp.73-78 |
| CCS | 2021-03-29 13:00 |
Online | Online | Construction of Nonlinear Large-Scale Network Simulator aiming for Emergence of Reservoir function Kento Igarashi, Tetsuya Asai, Megumi Akai (Hokkaido Univ.) CCS2020-21 |
A large-scale network simulator consisting of non-linear elements has been constructed for the physical implementation o... [more] | CCS2020-21 pp.1-6 |
| IBISML | 2021-03-03 11:15 |
Online | Online | IBISML2020-46 |
Developing a profitable trading strategy is a central problem in the financial industry. In this presentation, we develo... [more] | IBISML2020-46 p.38 |
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