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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-03-01
10:45
Okinawa Okinawa Convention Center ECN Congestion Control with Gradient of Queue Length for Inter-Datacenter Gateway Proxy
Keita Aoki, Miki Yamamoto (Kansai Univ.) NS2023-211
For data replication and database synchronization, inter-DC (Data Center) communications play an important role. Inter-D... [more] NS2023-211
pp.230-235
CS 2023-11-09
11:05
Shizuoka Plaza Verde A study on proactive path switching based on video traffic prediction under co-existed mobile data
Yuka Okamoto, Hirotaka Ujikawa, Kota Asaka, Tatsuya Shimada, Tomoaki Yoshida (NTT) CS2023-70
Recently, remote robot operation using videos captured by robots is expected to resolve labor shortages. The end-to-end ... [more] CS2023-70
pp.28-29
CQ, MIKA
(Joint)
(2nd)
2023-08-31
10:50
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] Study on the Effectiveness of Building TCP Throughput Prediction Model using Federated Learning
Han Nay Aung, Hiroyuki Ohsaki (Kwansei Gakuin Univ)
In the realm of communication networks, ensuring accurate forecasts for the performance of TCP flows is essential to ach... [more]
CQ, ICM, NS, NV
(Joint)
2018-11-16
11:55
Ishikawa   Congestion Prediction Based on Throughput Estimation by Wi-Fi Packet Analysis Using Deep Learning
Aoi Yamamoto (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.), Takeshi Kamiyama (Kyushu Univ.), Masato Oguchi (Ochanomizu Univ.) NS2018-146
Recently, the number of wireless devices such as smartphones or tablet-type devices has been increasing all over the wor... [more] NS2018-146
pp.93-98
MoNA 2017-12-21
10:30
Tokyo Ochanomizu University Congestion Analysis of Variation in Network Traffic by DeepLearning
Haruka Osanai, Masato Oguchi (Ochanomizu Univ.) MoNA2017-29
When a large scale disaster happens, it is important that we can communicate with other people by phone or e- mail. Howe... [more] MoNA2017-29
pp.11-14
ITS, IEE-ITS 2017-03-07
15:55
Kyoto Kyoto Univ. Trip time prediction using traffic state prediction model derived from probe car data
Yuta Ashida, Itaru Nishioka (NEC) ITS2016-90
Trip time prediction is useful for not only private road users but also some business operators, such as logistics provi... [more] ITS2016-90
pp.81-86
SAT 2008-11-06
15:30
Overseas Riviera Hotel Pusan Congestion Prediction Based Load Balancing in IP/LEO Satellite Networks
Daigo Kudoh, Kenichi Kashibuchi, Nei Kato (Tohoku Univ.) SAT2008-27
Low Earth Orbit (LEO) satellite networks have worldwide coverage with low power consumption and short propagation delay.... [more] SAT2008-27
pp.63-68
SAT, WBS
(Joint)
2008-05-27
14:25
Chiba Nihon Univ. (Tsudanuma) Traffic control scheme based on congestion prediction in IP/LEO Satellite Network
Daigo Kudoh, Kenichi Kashibuchi, Nei Kato (Tohoku Univ.) SAT2008-4
Low Earth Orbit (LEO) satellite networks have low transmission power consumption and short propagation delays. Their ter... [more] SAT2008-4
pp.19-24
NS, IN
(Joint)
2007-03-09
16:20
Okinawa Okinawa Convention Center A Congestion Control Algorithm for Low-Latency Ethernet LAN Communications
Hideyuki Shimonishi, Junichi Higuchi, Takashi Yoshikawa, Atsushi Iwata (NEC) NS2006-244
Ethernet is seeking for its new applications to CPU-CPU and CPU-I/O communications used in, for example, a PCI-Express e... [more] NS2006-244
pp.453-458
 Results 1 - 9 of 9  /   
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