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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 30  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
DC 2022-12-16
(Primary: On-site, Secondary: Online)
Comparative eye tracking test and evaluation of drivers and attendants using VR video
Itsuki Nishiue (IY Railroad Consulting), Takeshi Mizuma (Kyosan Electric Manufacturing), Noriyuki Shinoda (Shinoda Giken) DC2022-78
 [more] DC2022-78
DC 2022-12-16
(Primary: On-site, Secondary: Online)
About the basic experiment of the gauge widening point extraction device
Noriyuki Shinoda (SHINODA GIKEN), Takeshi Mizuma (Kyosan Seiki) DC2022-79
In local railways, the fastening device may not be supported due to corrosion of wooden bolsters, etc., which may lead t... [more] DC2022-79
(Joint) [detail]
Online Online Examination of model validation of interlocking connection using UPPAAL
Takumi Hasegawa, Kohei Yabuki, Takahiro Shimura (Kyosan Mfg), Takeshi Mizuma (UTokyo)
DC 2020-12-11
(Primary: On-site, Secondary: Online)
Study of Deep Learning based Object Detection for Automatic Train Operation in Railways
Shiva Krishna Maheshuni (UTokyo), Shimura Takahiro, Yabuki Kohei, Hasegawa Takumi (Kyosan Electric Mfg), Takeshi Mizuma (UTokyo) DC2020-61
Real time object detection is already being implemented in systems like autonomous driving in cars, surveillance Cameras... [more] DC2020-61
DC 2020-12-11
(Primary: On-site, Secondary: Online)
How to collect teacher data for machine learning models to classify internal document know-how
Takahiro Shimura, Kohei Yabuki, Takumi Hasegawa (Kyosan Electric Mfg), Shiva Krishna Maheshuni, Takeshi Mizuma (Univ.Tokyo) DC2020-62
Not many companies seem to be able to utilize the product design know-how in their internal documents across the board. ... [more] DC2020-62
DC 2020-12-11
(Primary: On-site, Secondary: Online)
Development of train self-position estimation device based on brightness information of LiDAR sensor
Noriyuki Shinoda (Shinoda Gi), Takeshi Mizuma (Tokyo Univ) DC2020-66
(To be available after the conference date) [more] DC2020-66
DC 2019-12-20
Wakayama   Consideration of AHP calculation method according to scale
Ryota Kouduki, Naohiro Morishima, Yukiko Sugimoto, Tomoki Kobayashi (Kyosan), Takeshi Mizuma, Upvinder Singh, Maheshuni Shiva Krishna (UTokyo) DC2019-78
AHP is a problem-solving method that approaches both subjective and mechanical indicators in decision-making problems th... [more] DC2019-78
DC 2019-12-20
Wakayama   Consideration of safety analysis application in railway signal system -- Safety analysis using FMEA, STAMP and HAZOP --
Tomoki Kobayashi, Yukiko Sugimoto, Ryota Kouduki, Naohiro Morishima (Kyosan), Upvinder Singh, Maheshuni Shiva Krishna, Takeshi Mizuma (UTokyo) DC2019-79
Railway signal system design requires a safety analysis method suitable for large-scale and complex systems.Safety analy... [more] DC2019-79
DC 2019-12-20
Wakayama   STAMP & FTA -- Proposal of New Safety Evaluation Method using STAMP & FTA --
Upvinder Singh, Takeshi Mizuma (UTokyo), Hideo Nakamura (NU), Yukiko Sugimoto (Kyosan) DC2019-80
Modern railway signaling systems are becoming more and more complex with the increased use of software. Conventional saf... [more] DC2019-80
DC 2019-12-20
Wakayama   Examination of safety evaluation method of railway signal system -- Combined use of FMEA, FTA and STPA --
Yukiko Sugimoto, Tomoki Kobayashi, Ryota Kouzuki, Naohiro Morishima (Kyosan), Takeshi Mizuma, Upvinder Singh, Maheshuni Shiva Krishna (Univ. of Tokyo) DC2019-81
The safety evaluation method for railway signal systems was examined and it was judged that the combination use of FMEA,... [more] DC2019-81
DC 2019-12-20
Wakayama   Classification of railway stop positions by machine learning using on-board equipment accumulated data
Naohiro Morishima, Ryota kouduki, Tomoki Kobayashi, Yukiko Sugimoto (Kyosan), Takeshi Mizuma, Upvinder Singh Upvinder, Shiva Krishna Maheshuni (The University of Tokyo) DC2019-82
In recent years, the development of AI technology has been remarkable. Analysis using machine learning is attracting att... [more] DC2019-82
DC 2018-12-14
Okinawa Miyako Seisyonen-No-Ie Prosal of Practical Method of track condition monitoring compact device using machine learning
Shohei Wakai, Tetsuya Takata (Kyosan Electric Manufacturing), Takeshi Mizuma (Tokyo Univ.), Hitoshi Tsunashima, Akira Matsumoto, Yuichi Hayashida, Ryota Hirose (Nihon Univ.) DC2018-62
In local railway, there are few railway operators who chan conduct sufficient inspection of track condition due to cost ... [more] DC2018-62
DC 2018-12-14
Okinawa Miyako Seisyonen-No-Ie Study on the influence on system quality using FMEA result
Keita Ishikawa, Yasunori Miyama (KYOSAN), Upvinder Singh, Takeshi Mizuma (Tokyo Univ.) DC2018-63
(To be available after the conference date) [more] DC2018-63
DC 2018-12-14
Okinawa Miyako Seisyonen-No-Ie Study on how to choose substitutes for discontinued parts
Yusuke Yamamoto (Kyosan Electric Mfg.), Takeshi Mizuma, Upvinder Singh (Univ. of Tokyo) DC2018-64
It is necessary to select a substitute when production discontinuations or recalls occur in parts of products, and it ne... [more] DC2018-64
DC 2018-12-14
Okinawa Miyako Seisyonen-No-Ie Stydy on the safety evaluation using STAMP and FMEA/FTA in combination
Yasunori Miyama, Keitg Ishikawa (Kyosan Electric MFG), Takeshi Mizuma (Tokyo UNV.) DC2018-65
FMEA/FTA, which is a conventional evaluation method, can extract failure modes and abnormal phenomena, calculate probabi... [more] DC2018-65
DC 2018-12-14
Okinawa Miyako Seisyonen-No-Ie On the absolute position detection method using LiDAR sensor
Noriyuki Shinoda, Toshihiro Takeuchi, Daisuke Yamaguchi, Shouitirou Watanabe (NTSEL), Takeshi Mizuma (TOKYO UV) DC2018-67
 [more] DC2018-67
DC 2018-12-14
Okinawa Miyako Seisyonen-No-Ie Consideration on the key points to ensure security for train control using communication
Tomonori Hasegawa (NTSEL), Takashi Mori (JR-West), Morimasa Hayashida (NTSEL), Takeshi Mizuma (U-Tokyo) DC2018-69
In view of the declining birthrate and the aging of the population, a growing importance has been given to maintenance-s... [more] DC2018-69
DC 2017-12-15
Akita Akita Study Center, The Open University of Japan Verification of a support system for collision prevention at level crossing using image analysis technology and communication technology
Toshihiro Takeuchi, Tomonori Hasegawa, Noboru Ito (NTSEL), Takeshi Mizuma (UTokyo) DC2017-70
 [more] DC2017-70
DC 2016-12-16
Yamagata Sakata Sogo-Bunka Center(Sakata-City) Study of Reliability Analysis considering Failure Foreknowledge on Railway
Takeshi Mizuma (Tokyo University), Morimasa Hayashida (NTSEL) DC2016-72
Japanese railway took a successful safety record in comparison with other countries. However, it's availability is not n... [more] DC2016-72
DC 2015-12-18
Niigata Kurieito Mulakami (Murakami City) Study of Reliability Analysis considering Maintenance Period on railway
Takeshi Mizuma, Morimasa Hayashida (NTSEL) DC2015-80
 [more] DC2015-80
 Results 1 - 20 of 30  /  [Next]  
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