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Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2023-09-12
15:15		 Hokkaido   A Study on the Implementation of Cooperative CAVs by Sharing the Observation Information Using Simulations and Considerations Based on Qualitative Evaluation
Ken Matsuda (Graduate School of FUN), Ei-Ichi Osawa (FUN) AI2023-4		 This study focuses on cooperative connected autonomous vehicles (cooperative CAVs). This research aims to propose a simu... [more] AI2023-4
pp.19-24
CS, SIP, CAS 2011-03-03
13:50		 Okinawa Ohhamanobumoto memorial hall (Ishigaki)( On Channel Estimation and Compensation in DFTS-OFDM using Scattered Pilot
Akihiko Sato, Fumio Takahata (Waseda Univ.) CAS2010-113 SIP2010-129 CS2010-83		 Scattered pilots (SP) would be effective for the estimation and compensation of fast fading propagation paths. This pap... [more] CAS2010-113 SIP2010-129 CS2010-83
pp.67-72
CQ, NS, ICM
(Joint)		 2009-11-13
16:40		 Ishikawa Kanazawa Institute of Technology (Ishikawa) A study on service classification using time-series traffic data
Takeshi Yamashita, Kentaro Hoshi, Masatsugu Ichino, Naohisa Komatsu (Waseda Univ.), Kei Takeshita, Masayuki Tsujino (NTT Corp.) CQ2009-54		 Network Traffic has increased rapidly by spreading high-speed internet.
In order to offer quality of each service, netw... [more]		 CQ2009-54
pp.85-90
NS 2009-05-22
11:25		 Hiroshima Hiroshima City University (Hiroshima) A Study on the ApplicationClassification Method Using the Flow-Group Information
Kei Takeshita, Takeshi Kurosawa, Masayuki Tsujino, Motoi Iwashita (NTT), Masatsugu Ichino, Naohisa Komatsu (Waseda Univ) NS2009-28		 The Internet treats many kinds of applications as a same QoS level. In such a network, there are the cases that users ar... [more] NS2009-28
pp.67-71
NS 2009-05-22
11:50		 Hiroshima Hiroshima City University (Hiroshima) A study on service classification of traffic pattern
Takeshi Yamashita, Kentaro Hoshi, Masatsugu Ichino, Naohisa Komatsu (Waseda Univ.), Kei Takeshita, Masayuki Tsujino (NTT) NS2009-29		  [more] NS2009-29
pp.73-78
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