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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 158  /  [Next]  
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
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