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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICM | 2024-03-22 09:50 |
Okinawa | Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Proposal for Parallel Code Generation and Dynamic Distributed-Cluster Selection in Ray Application Rina Ueno, Nao Nisijima (Hitachi)  ICM2023-53 |
In data analysis systems, a distributed processing infrastructure can be used to increase speed through parallelization ... [more] | ICM2023-53 pp.47-50 |
| 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 |
| 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 |
| AI, JSAI-SAI, JSAI-KBS, JSAI-DOCMAS, IPSJ-ICS (Joint) |
2022-03-12 11:00 |
Hokkaido | WSSIT2022 (Primary: On-site, Secondary: Online) |
xxx Satoshi Yoshimura, Kazuki Okawara (Osaka-U), Taichi Sakakibara (YTV), Hiroki Matsuda (YTV/NAIST), Teruhiro Mizumoto (Osaka-U) AI2021-33 |
(To be available after the conference date) [more] | AI2021-33 pp.43-48 |
| 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 |
| 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 |
| 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 |
| 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 |
| CQ (2nd) |
2021-01-21 13:30 |
Online | Online | [Invited Lecture]
Individual representation of creativity using large-scale brain dataset Takeshi Ogawa (ATR) |
Thanks to development of machine learning methods based on large-scale data, it has made huge impacts on not only image ... [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 |
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