Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
DC |
2020-12-11 13:00 |
Hyogo |
(Primary: On-site, Secondary: Online) |
A Degradation Prediction of Circuit Delay Using A Gradient Descent Method Seiichirou Mori, Masayuki Gondou, Yousuke Miyake, Takaaki Kato, Seiji Kajihara (Kyutech) DC2020-59 |
As the risk of aging-induced faults of VLSIs is increasing, highly reliable systems require to predict when the aging-in... [more] |
DC2020-59 pp.1-6 |
DC |
2020-12-11 13:20 |
Hyogo |
(Primary: On-site, Secondary: Online) |
Proposal of a Location-Based DTN Routing Method for Message Delivery between Fixed Nodes Yoshihiko Yonezawa, Masato Kitakami (Chiba Univ.) DC2020-60 |
In recent years, with the spread of mobile devices such as smartphones, there is a need for Internet connection in situa... [more] |
DC2020-60 pp.7-11 |
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 |
2020-12-11 14:20 |
Hyogo |
(Primary: On-site, Secondary: Online) |
Prediction of Train Delays at Stations Using Convolutional Neural Networks with Actual Operation Data Tsukasa Takahashi, Takumi Fukuda, Sei Takahashi (Nihon Univ.), Hideo Nakamura (The Univ. of Tokyo) DC2020-63 |
Trains in the metropolitan area have high congestion rates during rush hours. Congestion causes delays, and there is a l... [more] |
DC2020-63 pp.23-26 |
DC |
2020-12-11 14:40 |
Hyogo |
(Primary: On-site, Secondary: Online) |
Study on Approach for the NS type Electric Point Machine Maintenance using Condition Based Maintenance Hiroshi Shida (JR WEST), Yuki Misaki (JR Shikoku), Hiroshi Takahashi (Ehime Univ) DC2020-64 |
We study on approach for the condition based maintenance (CBM) about NS type electric point machine used widely in Japan... [more] |
DC2020-64 pp.27-32 |
DC |
2020-12-11 15:05 |
Hyogo |
(Primary: On-site, Secondary: Online) |
Vibration Measurement of Signal Bonds for Automatic Train Control Yuki Echigo, Satoshi Ohtake (Oita Univ.) DC2020-65 |
[more] |
DC2020-65 pp.33-38 |
DC |
2020-12-11 15:25 |
Hyogo |
(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 pp.39-42 |
DC |
2020-12-11 15:45 |
Hyogo |
(Primary: On-site, Secondary: Online) |
DC2020-67 |
(To be available after the conference date) [more] |
DC2020-67 pp.43-48 |
DC |
2020-12-11 16:05 |
Hyogo |
(Primary: On-site, Secondary: Online) |
A Survey of the Revisised Standard EN 50126:2017 Concerning Railway System RAMS
-- Comparison of revision lists shown in a Japanese Literature and an European one -- Koji Iwata (R.T.R.I) DC2020-68 |
[more] |
DC2020-68 pp.49-54 |