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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2023-03-16 16:25 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Case Study of Development of Railway Congestion Forecasting System Using AI and Human Pair Programming System Tomoya Fukada, Mohd Anuaruddin Bin Ahmadon, Shingo Yamaguchi (Yamaguchi Univ.)  MSS2022-92 NLP2022-137 |
This paper introduces the development of a railway congestion forecasting system using an AI-human pair pro- gramming sy... [more] | MSS2022-92 NLP2022-137 pp.140-143 |
| IT, RCS, SIP | 2023-01-25 11:30 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
Channel and Data Estimation via Deep Unfolding-Aided BiGaBP for Correlated Large MIMO Koichi Maki, Tetsushi Ikegami (Meiji Univ.) IT2022-54 SIP2022-105 RCS2022-233 |
The study aims to suppress the performance degradation in a correlated fading environment by applying deep unfolding (DU... [more] | IT2022-54 SIP2022-105 RCS2022-233 pp.142-147 |
| SANE | 2022-12-15 14:30 |
Nagasaki | Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Similarity Approach for Synthetic Aperture Radar Range Ambiguity Suppression Ryo Natsuaki, Raiki Kudo, Akira Hirose (UTokyo) SANE2022-67 |
In this paper, we propose a similarity approach for Synthetic Aperture Radar (SAR) range ambiguity suppression. Range am... [more] | SANE2022-67 pp.29-32 |
| SWIM | 2022-11-26 14:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Proposal for Small and Medium River Flood Warning System Using Big Data Ryunosuke Hosaka, Tsukasa Kudo (SIST) SWIM2022-21 |
Recently, floods in small and medium-sized rivers have been increasing due to extreme weather conditions. It is importan... [more] | SWIM2022-21 pp.2-9 |
| CAS, NLP | 2022-10-21 13:15 |
Niigata | (Primary: On-site, Secondary: Online) |
[Special Invited Talk]
Activation of AI and Data Science in Niigata University Tatsuya Yamazaki (Niigata Univ.) CAS2022-31 NLP2022-51 |
In the age of big data, where digitization is progressing in various aspects of society and enormous amounts of data are... [more] | CAS2022-31 NLP2022-51 pp.60-64 |
| NLC, IPSJ-ICS | 2022-07-08 13:05 |
Online | Online | Self-Reproducing Automaton of Linguistic Intelligence
-- Self-Regulative Networking between External and Internal Languages -- Kumon Tokumaru (Researcher) NLC2022-1 |
Speech, text and binary electronic data are categorized as External Language, while memory networks inside the brain con... [more] | NLC2022-1 pp.1-6 |
| SANE | 2022-05-24 09:55 |
Kanagawa | Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
Radar system using different modulations Fuyuki Fukushima, Satoshi Kageme, Kei Suwa (Mitsubishi Electric Corp.) SANE2022-3 |
Development of mutually enhanced radar is underway. The radar enhances the capabilities of each other by utilizing the t... [more] | SANE2022-3 pp.12-17 |
| SC | 2022-03-11 09:00 |
Online | EventIn | A Web Data Base System Utilizing Open Data Provided by the Ministry of Health, Labour and Welfare Hiroshi Sunaga, Rika Iguchi (OIT) SC2021-34 |
This paper proposes a Web Database System as a way of utilizing the open data provided by the Ministry of Health, Labour... [more] | SC2021-34 pp.1-6 |
| ITS, IEE-ITS | 2022-03-11 13:50 |
Online | Online | Automatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling Considering Road Surface ConditionsAutomatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling Considering Road Surface Conditions Kazuki Fukawa, Tatsuya Kai (Tokyo Univ. of Science) ITS2021-68 |
This study derives an automatic path following control method so that a four-wheeled car model can follow a sequence of ... [more] | ITS2021-68 pp.28-33 |
| SWIM | 2022-02-18 13:35 |
Online | Online | Proposal of Circulatory Data Model between Big Data and Fog Nodes Tsukasa Kudo, Takehiro Yamamoto, Tomoki Watanabe (SIST) SWIM2021-33 |
Currently, a large amount of data is published on the cloud as big data. However, since it is not fit for the individual... [more] | SWIM2021-33 pp.15-22 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:05 |
Online | Online | Verification of gender identifiability and its sensitivity from heart rate data in Allstar heart rate variability big data analysis Itaru Kaneko, Emi Yuda (Tohoku Univ.) NLP2021-85 MICT2021-60 MBE2021-46 |
We have verified the analysis of Allstar heart rate big data (big data of heart rate that we are analyzing). This time, ... [more] | NLP2021-85 MICT2021-60 MBE2021-46 pp.50-53 |
| RCS, SIP, IT | 2022-01-21 10:55 |
Online | Online | A Study on Bayesian Receiver Design via Deep Unfolding-Aided Bilinear Inference for Correlated Large MIMO Ryota Tamaki, Kenta Ito, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) IT2021-65 SIP2021-73 RCS2021-233 |
This paper proposes a joint channel and data estimation (JCDE) scheme via deep unfolding (DU)-aided bilinear generalized... [more] | IT2021-65 SIP2021-73 RCS2021-233 pp.207-212 |
| ET | 2021-09-10 10:40 |
Online | Online | Implementation of recommendation engine, which uses data from social media, to the course introduction module. Toshikazu Iitaka (Kumamoto Gakuen Univ.) ET2021-8 |
A function which makes possible the realization of recommendations which make use of big data from external systems is ... [more] | ET2021-8 pp.1-6 |
| HCS | 2021-08-22 15:25 |
Online | Online | A displaying system comparing working results of her/himself and others according to user's personality Yuki Kitagishi, Yukinori Hamada, Tomoko Yonezawa (Kansai Univ.) HCS2021-33 |
In this study, we proposed a system that displays the past performance of the worker and others according to the worker'... [more] | HCS2021-33 pp.90-95 |
| NLP, MSS (Joint) |
2021-03-16 09:15 |
Online | Online | Modeling Inter-sector Air Traffic Flow and Congestion Degree Prediction Ryosuke Mishima, Kunihiko Hiraishi (JAIST) MSS2020-49 |
In 2015, the Ministry of Land, Infrastructure and Transportation have started to provide information on aircraft flying ... [more] | MSS2020-49 pp.27-32 |
| SDM | 2021-02-05 16:00 |
Online | Online | [Invited Talk]
R&D of 3D-IC Technology in the era of AI, IoT, Big data Katsuya Kikuchi (AIST) SDM2020-60 |
3D integration is one of the most important technologies for developing new-generation electronics devices. In this arti... [more] | SDM2020-60 pp.23-26 |
| CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] | 2021-01-26 09:00 |
Online | Online | Acceleration of Database Query Processing Using FPGA Hirohiko Ozaku (UEC), Masato Yoshimi (TIS), Celimuge Wu, Tsutomu Yoshinaga (UEC) VLD2020-55 CPSY2020-38 RECONF2020-74 |
A bottleneck of Big data analysis is a time to transfer large amount of data to the main memory from the storage. The da... [more] | VLD2020-55 CPSY2020-38 RECONF2020-74 pp.90-95 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | A Consideration on Detecting Anormal Respondents in Large Questionnaire Response Data Hiroyuki Takahashi, Wataru Kameyama, Mutsumi Suganuma (Waseda Univ.) |
In a questionnaire with a variety of questions for consumers to answer, there may be a small number of specific answers ... [more] | |
| ITS, WBS, RCC | 2020-12-15 11:35 |
Online | Online | A Study on Stress Prediction Model based on Simultaneous Measurement of Environmental and Emotional Data Koshiro Maeda, Tomoki Hashiguchi, Nobuyoshi Komuro, Keita Hirai (Chiba Univ.) WBS2020-26 ITS2020-22 RCC2020-29 |
Emotion estimation technology has attracted attention in terms of work style reform, classroom support, and car driving ... [more] | WBS2020-26 ITS2020-22 RCC2020-29 pp.103-108 |
| R | 2020-10-16 13:00 |
Online | Online | Flexible Jump Diffusion Process Model for Large Scale OSS Effort Control Considering External Factors from Big Data Tokubo Shun, Tamura Yosinobu (Tokyo City Univ), Ymada Sigeru (Tottori Univ) R2020-19 |
As the current status of software services, most of open source software (OSS) is widely used by many companies. Then, i... [more] | R2020-19 pp.1-6 |
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