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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
BioX, SIP, IE, ITE-IST, ITE-ME [detail] 2023-05-19
13:30
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
Writer Verification Based on Finger-writing of a Simple Symbol -- Introduction of Finger-softness Feature --
Takumi Fukuda, Takahiro Horiuchi, Isao Nakanishi (Tottori Univ) SIP2023-14 BioX2023-14 IE2023-14
We proposed writer verification based on writing of a simple symbol on a smartphone screen, called where users draw a si... [more] SIP2023-14 BioX2023-14 IE2023-14
pp.63-68
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 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
DC 2021-12-10
15:25
Kagawa
(Primary: On-site, Secondary: Online)
Prediction of Train Delays at Stations Using Multiple Convolutional Neural Networks with Actual Operation Data
Tsukasa Takahashi, Takumi Fukuda, Sei Takahashi (Nihon Univ.), Hideo Nakamura (UTokyo) DC2021-61
In the metropolitan area, railroads are frequently delayed due to high congestion rates during rush hours, and many meas... [more] DC2021-61
pp.34-37
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
NLP 2016-09-14
10:55
Hyogo Konan Univ. Development of a Quadrotor with Tilting Parallel Linked Body
Takumi Fukuda, Sakaguchi Akinori (Osaka Univ), Takimoto Takashi (NIT), Ushio Toshimitu (Osaka Univ) NLP2016-45
A quadrotor cannot hover in any attitude. We suggest a quadrotor with a tilting parallel linked body for improvement of ... [more] NLP2016-45
pp.5-8
 Results 1 - 6 of 6  /   
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