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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
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| 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 |
| 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 |
| 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] | |
| 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 |
| KBSE, SWIM | 2022-05-20 15:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Practical Application of Self-Adaptive Anomaly Detection Method Using XAI Shimon Sumita, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya (Osaka Univ.) KBSE2022-3 SWIM2022-3 |
In this study, we examine the use of XAI to improve the performance of a self-adaptive anomaly detection method. As a sp... [more] | KBSE2022-3 SWIM2022-3 pp.13-18 |
| 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 |
| RCS, SIP, IT | 2022-01-20 13:40 |
Online | Online | Received Power Prediction of 60 GHz Millimeter-Wave Propagation in Indoor Environment from Time-Series Images Using Neural Networks Khanh Nam Nguyen, Kenichi Takizawa (NICT) IT2021-55 SIP2021-63 RCS2021-223 |
A millimeter-wave (mmWave) indoor propagation environment with obstacles in 60 GHz frequency band is set up where receiv... [more] | IT2021-55 SIP2021-63 RCS2021-223 pp.149-154 |
| CQ, ICM, NS, NV (Joint) |
2021-11-26 17:15 |
Fukuoka | JR Hakata Stn. Hakata EkiHigashi Rental Room (Primary: On-site, Secondary: Online) |
Proposal of change detection technology using cluster transition tensor Shoko Takahashi, Kei Takeshita (NTT) CQ2021-75 |
As in all service fields, the AI-based operation automation is progressing in the communication field as well. Once the... [more] |
CQ2021-75 pp.49-54 |
| EE, IEE-HCA | 2021-05-27 09:25 |
Online | Online | LSTM-based Neural Network Model for Predicting Solar Power Generation Kundjanasith Thonglek, Kohei Ichikawa (NAIST), Kazufumi Yuasa, Tadatoshi Babasaki (NTT-F) EE2021-2 |
Currently, the most popular renewable energy is solar power which reduces pollution consequences from using conventional... [more] | EE2021-2 pp.7-12 |
| DE, IPSJ-DBS | 2019-12-24 16:55 |
Tokyo | National Institute of Informatics | Yuichiro Sakazaki, Rin Adachi, Jun Rokui (univ. of Shizuoka) DE2019-32 |
We proposed a model that integrates several types of data by multiple regression analysis and performs future prediction... [more] | DE2019-32 pp.93-98 |
| NC, MBE | 2019-12-06 11:00 |
Aichi | Toyohashi Tech | Prediction of EEG Time Series with Reservoir Computing Takayuki Koga, Yuta Takahashi, Rieko Osu (Waseda Univ) MBE2019-48 NC2019-39 |
We applied Reservoir Computing (RC) to predict and generate EEG time-series. In the prediction, 10sec EEG was used for t... [more] | MBE2019-48 NC2019-39 pp.19-24 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 16:15 |
Okinawa | Okinawa Institute of Science and Technology | Imputation of Missing Time-Series Multimodal Data with Variational Autoencoder Ryoichi Kojima, Shinya Wada, Kiyohito Yoshihara (KDDI Research) IBISML2019-8 |
Data is often missing and that results in negative effects on subsequent data analysis and creating machine learning mod... [more] | IBISML2019-8 pp.51-55 |
| NLP, NC (Joint) |
2019-01-24 12:00 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | Model selection using reinforcement learning in laser-based reservoir computing Kazutaka Kanno (Saitama Univ.), Makoto Naruse (NICT), Atsushi Uchida (Saitama Univ.) NLP2018-116 |
Reservoir computing is machine learning based on artificial neural network and it is a main feature that only output wei... [more] | NLP2018-116 pp.107-112 |
| ET | 2018-09-15 13:10 |
Yamaguchi | Yamaguchi University | Analysis of behaviors of audience in presentations (Second report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) ET2018-32 |
In presentations using slides, lecturers have to estimate the interests of the audience based on the behaviors of the au... [more] | ET2018-32 pp.25-30 |
| ET | 2018-07-14 10:25 |
Hokkaido | National Institute of Technology, Hakodate College | Analysis of behaviors by students and page transition (Third report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) ET2018-19 |
In this report, we consider a learning environment, which students solve given problems while reading contents consistin... [more] | ET2018-19 pp.1-6 |
| IBISML | 2018-03-06 11:15 |
Fukuoka | Nishijin Plaza, Kyushu University | Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex Masayuki Karasuyama (Nagoya Inst. of Tech./NIMS/JST), Ichiro Takeuchi (Nagoya Inst. of Tech./NIMS/RIKEN) IBISML2017-101 |
We study classification problem on the sequences of continuous observations. In particular, we are interested in identif... [more] | IBISML2017-101 pp.77-84 |
| ET | 2018-03-03 16:05 |
Kochi | Kochi University of Technology (Eikokuji Campus) | Modeling the temporal change of student proficiency using records in e-learning Midori Kodama, Takahiro Hata, Ippei Shake (NTT) ET2017-132 |
Estimating student’s proficiency from the records of learning system is the key technology to provide adaptive learning ... [more] | ET2017-132 pp.249-252 |
| ICTSSL, IN (Joint) |
2017-10-10 13:25 |
Shizuoka | Basic Analysis of Work Volume Relating with Survivors' Life Reconstruction
-- A Case Study of 2016 Kumamoto Earthquake -- Keisuke Shimizu, Munenari Inoguchi (Shizuoka Univ.), Keiko Tamura (Niigata Univ.) ICTSSL2017-30 |
we faced to many kinds of natural disasters in Japan. Once disaster occurs, local governments have to start to support f... [more] | ICTSSL2017-30 pp.5-10 |
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