Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SS |
2024-03-08 16:55 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Improving accuracy of code clone detection by LLM using functional equivalent method dataset Ryutaro Inoue, Yoshiki Higo (Osaka Univ.) SS2023-76 |
(To be available after the conference date) [more] |
SS2023-76 pp.162-167 |
R |
2024-02-29 17:10 |
Shimane |
|
Comparison of OSS Reliability Assessment Methods Based on Deep Learning Considering the Wiener and Jump Diffusion Processes Yoshinobu Tamura, Shoichiro Miyamoto, Lei Zhou (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-63 |
In many research fields, the methods based on deep learning have been proposed. In this paper, we propose the method of ... [more] |
R2023-63 pp.46-51 |
IN, IA (Joint) |
2023-12-22 14:00 |
Hiroshima |
Satellite Campus Hiroshima |
[Invited Talk]
Extracting the evolution of public opinion on COVID-19 vaccination from Japanese tweet data Ryota Kobayashi (U. Tokyo) IN2023-48 |
Vaccination coverage in Japan increased rapidly. Japan ranked 14th among 229 countries in terms of COVID-19 vaccination ... [more] |
IN2023-48 p.59 |
ITS, WBS, RCC |
2023-12-22 15:15 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Extension of Mobility Environment Evaluation Platform Using Location-Based Big Data and Comparison with Different Areas Takumi Soma, Tetsuya Manabe (Saitama Univ.) WBS2023-62 ITS2023-45 RCC2023-56 |
This paper is extending the mobility environment evaluation platform by using location-based big data, and comparing wit... [more] |
WBS2023-62 ITS2023-45 RCC2023-56 pp.179-184 |
SIS |
2023-12-08 09:30 |
Aichi |
Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
A Proposal of Losing Point Prediction Method Reflecting the Day's Conditions Based on Tracking Data Sota Akamatsu, Eiichiro Kodama, Wang Jiahong, Bhed Bahadur Bista, Toyoo Takata (Iwate Prefectural University) SIS2023-33 |
In baseball, the timing of pitcher substitutions is one of the most important factors influencing the winning percentage... [more] |
SIS2023-33 pp.49-54 |
DE, IPSJ-DBS, IPSJ-IFAT [detail] |
2023-09-22 11:20 |
Fukuoka |
Kitakyushu International Conference Center |
A prototype system for interactively combining more than 1000 pieces of table formatted big data and interactively overviewing of it
-- Performance measurement of overviewing (displaying, searching, tabulating, and sorting) more than 3 trillion records of virtual table formatted data -- Shinji Furusho (NNI Technologies), Atsushi Iizawa (Ricoh IT Solutions), Hiroshi Tezuka (Bird's-eye View Engineering Institute), Yukio Yamamoto (ISAS), Takashi Matsuhisa, Manabu Iida (SEC), Tadashi Nagao (Layman's Admin) DE2023-24 |
The virtual tabular data, created with the purpose of facilitating the distribution of diverse tabular big data, is a vi... [more] |
DE2023-24 pp.78-83 |
R |
2023-07-28 15:30 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Deep Learning Approach for OSS Reliability Assessment Based on Data Preprocessing Considering the Wiener Process Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-16 |
In many open source software, the development style based on the database of general bug tracking systems is the normal ... [more] |
R2023-16 pp.33-38 |
SC |
2023-06-02 15:45 |
Fukushima |
UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
Resource Allocation Optimization of Distributed Infrastructure in Big Data Analysis Systems Rina Ueno, Hitoshi Yabusaki (Hitachi) SC2023-7 |
Big data analysis systems often use distributed analysis infrastructure to accelerate processing. Minimizing resource ut... [more] |
SC2023-7 pp.38-41 |
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 |
CNR, BioX |
2023-03-02 10:30 |
Oita |
(Primary: On-site, Secondary: Online) |
Estimation of Personality Traits from Gait Etsuji Nire, Fumito Shinmura, Daigo Muramatsu (Seikei Univ.) BioX2022-71 CNR2022-37 |
We attempt to estimate a person's personality characteristics from his/her gait pattern using a deep learning approach.
... [more] |
BioX2022-71 CNR2022-37 pp.53-58 |
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 Tsukasa Kudo, Ryunosuke Hosaka (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 |