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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
AP 2022-02-17
10:50		 Online Online [Invited Lecture] Radio Wave Propagation Characteristics of Millimeter-wave in Railway Environment
Kazuki Nakamura, Nagateru Iwasawa, Koki Iwamoto, Yusuke Kawamura, Daisuke Yamaguchi, Takayasu Kitano, Kunihiro Kawasaki (RTRI), Shotaro Yoshida (JRSEC), Masaharu Takahashi (Chiba Univ.) AP2021-161		 In railways, wireless communication systems are used to communicate between running trains and the ground. Therefore, it... [more] AP2021-161
pp.16-19
MWP 2015-05-25
15:45		 Tokyo Kikai-Shinko-Kaikan Bldg. An Study of the Reflection Characteristics of the Millimeter-wave on the Track Surface in Railways
Kazuki Nakamura, Kunihiro Kawasaki, Daisuke Yamaguchi, Tomoki Kawamura (RTRI), Tetsunori Hattori, Akira Kurita (JR East), Shotaro Yoshida (JRSEC) MWP2015-8		 The various field tests and simulations of the propagation characteristics of the millimeter wave in the railway environ... [more] MWP2015-8
pp.41-44
SP 2013-02-28
15:00		 Aichi Daido University [Poster Presentation] An n-gram Language Model based on BPD Backoff Method and W-B Discount
Shotaro Yoshida, Takeshi Kawabata (Kwansei Gakuin Univ.) SP2012-118		 A new n-gram language model is proposed for the large vocabulary continuous speech recognition system. Two approaches ar... [more] SP2012-118
pp.19-20
MBE, NC
(Joint)		 2012-03-14
13:45		 Tokyo Tamagawa University Generalization characteristics of complex-valued neural networks in dealing with wave-related data
Akira Hirose, Shotaro Yoshida (Univ. Tokyo) NC2011-135		 (To be available after the conference date) [more] NC2011-135
pp.81-86
NC, MBE
(Joint)		 2011-03-08
15:00		 Tokyo Tamagawa University Generalization characteristics of complex-valued neural networks in dealing with wave-related data
Akira Hirose, Shotaro Yoshida (Univ. Tokyo) NC2010-179		 (To be available after the conference date) [more] NC2010-179
pp.307-312
 Results 1 - 5 of 5  /   
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