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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 10:30 |
Online | Online | Automatic estimation of sleep state by multi-view video analysis Naoyuki Ebata, Shinya Fukumoto, Masayuki Kashima, Mutumi Watanabe, Hitoshi Sakimoto, Takanori Ishizuka, Masayuki Nakamura (Kagoshima Univ) PRMU2021-44 |
We have developed a method for estimating the stage of sleep by analyzing video from two viewpoints. One is to extract f... [more] | PRMU2021-44 pp.107-112 |
| PRMU | 2021-12-17 10:45 |
Online | Online | Data augmentation for domain adaptation by class consistency using soft target Wataru Imaeda (Kyocera Corp.), Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2021-49 |
Domain adaptation is a task to acquire sufficient discrimination performance between images with different domains in le... [more] | PRMU2021-49 pp.136-141 |
| IN, IA (Joint) |
2021-12-16 14:50 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
[Short Paper]
Collecting and Analyzing Campus Wireless LAN Quality Information Using Time-Series Database Atsuto Nakano, Tohru Kondo, Reiji Aibara (HU) IA2021-32 |
Wireless LAN in campus network is an essential communications infrastructure that supports education and research activi... [more] | IA2021-32 pp.22-23 |
| NC, MBE (Joint) |
2021-11-26 16:15 |
Online | Online | Deep Learning Hybrid Models for Sentiment Analysis Yunpeng Rong, Jun Ohkubo (Saitama Univ.) NC2021-30 |
Sentiment analysis (SA), which can analyze the public attitudes towards various texts, has earned increasing attention f... [more] | NC2021-30 pp.13-17 |
| CCS | 2021-11-18 16:00 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
Effects of spike transmission delay in spiking reservoir networks Satsuki Tamura, Tsubo Yasuhiro (Ritsumeikan Univ.) CCS2021-22 |
Spiking neural network is expected as a candidate of information processing systems with low-energy consumption. However... [more] | CCS2021-22 pp.26-30 |
| SANE | 2021-11-11 11:20 |
Online | Online | [Invited Talk]
Observations of the ionosphere by a GNSS network and application for GNSS-based navigation Susumu Saito (ENRI, MPAT) SANE2021-33 |
The ionosphere causes propagation delay on signals of Global Navigation Satellite System (GNSS) which results in pseudor... [more] | SANE2021-33 pp.7-11 |
| ICTSSL, IEE-SMF, IN | 2021-10-21 09:00 |
Online | Online | Performance improvement of charging electric vehicles while doing something by presentation of information on charging waiting time and facility dwell time Aomi Nakazawa (Niigata Univ.), Kazuyuki Miyakita (Niigata Univ. of Int'l & Info. Studies), Keisuke Nakano (Niigata Univ.) ICTSSL2021-18 |
One of the problems of electric vehicles (EVs) is that the waiting time for chariging is longer than that for refueling ... [more] | ICTSSL2021-18 pp.1-6 |
| RCS | 2021-10-21 16:00 |
Online | Online | [Poster Presentation]
Performance Improvement of Multiuser Massive MIMO Null-Space Expansion Kazuki Maruta (Tokyo Tech), Kabuto Arai, Nobutaka Funaki (Chiba Univ.) RCS2021-130 |
A significant challenge of the multiuser multiple-input multiple-output (MIMO) is the interference leakage among user te... [more] | RCS2021-130 p.63 |
| NS | 2021-10-08 10:40 |
Online | Online | [Invited Lecture]
A Method for Calculating Time-Division Transfer Schedule in TSN Networks Makoto Kubomi, Zhao Jeffrey, Daisuke Takita, Sachiko Taniguchi, Takahisa Yamauchi (Mitsubishi Electric) NS2021-79 |
Communications for highly accurate device control in factories, plants, trains, and vehicles requires real-time communic... [more] | NS2021-79 p.63 |
| CQ, MIKA (Joint) |
2021-09-09 12:45 |
Online | Online | [Invited Talk]
Synchronized SS-CDMA with Space-Time Synchronization for Massive Connect IoT Suguru Kameda (Hiroshima Univ.) CQ2021-43 |
The next generation information network will evolve into "Massive Connect Internet of things (IoT)", which will improve ... [more] | CQ2021-43 p.35 |
| CQ, MIKA (Joint) |
2021-09-09 14:40 |
Online | Online | [Invited Talk]
Advancement of Multiuser Massive MIMO Null-Space Expansion Kazuki Maruta (Tokyo Tech) CQ2021-46 |
Massive multiple-input multiple-output (MIMO) technology with base stations having more than a hundred antennas has been... [more] | CQ2021-46 p.46 |
| IN, NS, CS, NV (Joint) |
2021-09-09 13:30 |
Online | Online | Proposal of Deterministic Periodic Control Architecture for Networked Control Systems in Cyber-Physical Systems Nobuhiro Azuma, Hiroki Iwasawa, Takahide Kitsu, Hitoshi Masutani, Takeshi Kuwahara (NTT) NS2021-62 |
With the progress of information communication technology such as 5G and 6G, devices which have not been connected to th... [more] | NS2021-62 pp.30-35 |
| WIT | 2021-08-20 14:20 |
Online | Online | Basic Study on Novel-Game Type On-Demand Learning Contents for Deaf and Hard of Hearing Students Tatsuya Arai (NTUT), Takeaki Shionome (Teikyo Univ.), Daisuke Wakatsuki (NTUT) WIT2021-15 |
In this study, we developed a learning contents that allows students to learn based on subtitles by presenting speech-r... [more] | WIT2021-15 pp.11-16 |
| NLP, CCS | 2021-06-11 13:30 |
Online | Online | Performance Investigation of Bifurcation Point Search Method Using Differential Evolution in Discrete Dynamical Systems Ryo Adachi, Haruna Matsushita (Kagawa Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology), Takuji Kousaka (Cyukyo Univ.) NLP2021-6 CCS2021-6 |
Nested particle swarm optimization (NLPSO) has been proposed as a bifurcation point derivation method that doesnot use g... [more] | NLP2021-6 CCS2021-6 pp.24-27 |
| EMCJ | 2021-04-16 15:00 |
Online | Online | Time-Frequency Domain Correlation Power Analysis for Side-Channel Attack Resistance Evaluation of Practical Modules Masaki Himuro, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.) EMCJ2021-5 |
When evaluating the Side-Channel Attack resistance of a practical module, the correlation coefficient, a measure of side... [more] | EMCJ2021-5 pp.21-26 |
| NC, MBE (Joint) |
2021-03-03 15:35 |
Online | Online | A Study on Feature Extraction of signal arrival order using unsupervised learning of the pulsed neuron model Kaya Teramoto, Susumu Kuroyanagi (NIT) NC2020-51 |
For time series information processing using pulsed neuron models, a supervised learning rule is proposed that enables c... [more] | NC2020-51 pp.47-52 |
| 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 |
| NLC | 2021-02-18 16:05 |
Online | Online | Sarcasm Detection with Japanese Wikipedia Entity Vector Xu Xufei, Hiai Satoshi, Shimada Kazutaka (KIT) NLC2020-27 |
In recent years, the task of detecting sarcasm has been tackled in many studies. Sarcasm detection is important for unde... [more] | NLC2020-27 pp.25-30 |
| MBE, NC (Joint) |
2020-12-18 15:40 |
Online | Online | Time-delayed LSTM for historical time series Prediction Rin Adachi, Jun Rokui (Univ of Shizuoka) NC2020-30 |
The research which applies machine learning to the social time series prediction is actively carried out. Among them, ma... [more] | NC2020-30 pp.13-18 |
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