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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| DC | 2024-12-06 16:40 |
Oita | Southern Cross Community Square | Evaluation of line of sight of drivers using eye tracking glasses on simulated tram driving Itsuki Nishiue (IY Railroad Consulting), Tetsuya Takata (Kyosan), Takeshi Mizuma (Kyosan Electric Manufacturing)  DC2024-104 |
[more] | DC2024-104 pp.29-34 |
| SANE | 2024-01-19 15:15 |
Miyagi | (Primary: On-site, Secondary: Online) |
Development of 24-GHz Band Stepped Multiple Frequency Complementary Phase Code Radar for Traffic Infrastructure System Hikaru Tsubota (Kyosan Electric Manufacturing), Takayuki Inaba (Inaba Radar Technology Laboratory), Tomonori Itagaki (Kyosan Electric Manufacturing) SANE2023-101 |
In transportation system, there is a need to develop advanced infrastructure systems to decarbonize, conserve energy, an... [more] | SANE2023-101 pp.63-68 |
| DC | 2023-12-08 15:00 |
Nagasaki | ARKAS SASEBO (Primary: On-site, Secondary: Online) |
DC2023-91 |
(To be available after the conference date) [more] | DC2023-91 pp.21-25 |
| DC | 2023-12-08 15:20 |
Nagasaki | ARKAS SASEBO (Primary: On-site, Secondary: Online) |
Fundamental Study of Train Control System on Commercial Cloud Services Ryuki Kurokawa, Hiroshi Mochizuki (Nihon Univ.), Nishida Satoshi, Minoru Sano (Kyosan Electric Mfg. Co., Ltd.) DC2023-92 |
[more] | DC2023-92 pp.26-31 |
| DC | 2022-12-16 15:00 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Learning of train control measures by means of Deep Q-Network
-- Preliminary study with a single train control -- Shogo Igarashi, Takumi Fukuda, Sei Takahashi, Hideo Nakamura (Nihon Univ), Tetsuya Takata (Kyosan Electric Manufacturing) DC2022-77 |
Although the predictive fuzzy control technique has been put to practical use as a train control strategy for automatic ... [more] | DC2022-77 pp.26-29 |
| DC | 2022-12-16 15:20 |
Yamaguchi | (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 pp.30-35 |
| DC | 2022-12-16 15:40 |
Yamaguchi | (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 pp.36-39 |
| DC | 2021-12-10 15:05 |
Kagawa | (Primary: On-site, Secondary: Online) |
A study on the optimal offset search method for traffic signals by GA with initial population generated based on standard road length Minoru Takahashi, Takumi Fukuda, Hiroshi Mochizuki, Sei Takahashi (Nihon Univ.), Hideo Nakamura (UTokyo), Hiroshi Kazama (Kyosan) DC2021-60 |
To ensure the smooth running of automobile on public roads, systematic control of traffic signal offsets is necessary. W... [more] | DC2021-60 pp.30-33 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-01 11:10 |
Online | Online | Examination of model validation of interlocking connection using UPPAAL Takumi Hasegawa, Kohei Yabuki, Takahiro Shimura (Kyosan Mfg), Takeshi Mizuma (UTokyo) |
[more] | |
| DC | 2020-12-11 13:40 |
Hyogo | (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 pp.12-17 |
| DC | 2020-12-11 14:00 |
Hyogo | (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 pp.18-22 |
| DC | 2019-12-20 13:30 |
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 pp.1-6 |
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| DC | 2019-12-20 13:55 |
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 pp.7-10 |
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| DC | 2019-12-20 14:20 |
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 pp.11-15 |
|
| DC | 2019-12-20 14:45 |
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 pp.17-20 |
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| DC | 2019-12-20 15:15 |
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 pp.21-23 |
|
| R | 2018-12-15 13:25 |
Okinawa | Countermeasures against Disconnection of Inter-vehicle Transmission for the Train Integrity Management System with the use of Inertial Sensors and Tachometer Generators Takayasu Kitano, Shigeru Taniguchi, Koji Iwata (RTRI), Shota Saiki, Masayuki Kitora, Akira Asano (Kyosan) R2018-44 |
[more] | R2018-44 pp.7-12 |
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| DC | 2018-12-14 14:25 |
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 pp.25-28 |
| DC | 2018-12-14 14:45 |
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 pp.29-32 |
| DC | 2018-12-14 15:05 |
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 pp.33-36 |
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