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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS | 2022-04-15 10:45 |
Tokyo | kikai shinkou kaikan + online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
An Actor-Critic based Reinforcement Learning Algorithm for Combinatorial Optimization and Mobile Power Trucks Routing Problem Zhao Wang (NTT), Yuhei Senuma (Waseda Univ.), Yuusuke Nakano (NTT), Jun Ohya (Waseda Univ.), Ken Nishimatsu (NTT)  NS2022-1 |
In this paper, we propose an Actor-Critic based reinforcement learning (RL) algorithm for solving the traditional combin... [more] | NS2022-1 pp.1-6 |
| PRMU, IPSJ-CVIM | 2022-03-10 09:00 |
Online | Online | Deep Cascade Road Extraction Network: a Multi-task Method for Road Extraction Yubo Wang (Waseda Univ.), Zhao Wang, Yuusuke Nakano, Ken Nishimatsu (NTT), Katsuya Hasegawa (JAXA), Jun Ohya (Waseda Univ.) PRMU2021-60 |
In this work, we present an end-to-end cascade neural network model called Deep Cascade Road Extraction Network to extra... [more] | PRMU2021-60 pp.1-6 |
| ICM, IPSJ-CSEC, IPSJ-IOT | 2021-05-14 13:20 |
Online | Online | A Study of Reinforcement Learning for Solving Multi-Vehicle Routing Problems Kazuaki Akashi, Shunsuke Kanai, Kenichi Tayama, Zhao Wang, Yuusuke Nakano, Ken Nishimatsu (NTT) ICM2021-5 |
In recent years, deep reinforcement learning method have been studied for solving vehicle routing problems. For multi-ve... [more] | ICM2021-5 pp.23-28 |
| NS | 2020-04-16 14:15 |
Online | Online | An Automatic Early Restoration Planning of Telecommunication Service after Large Scale Disaster Based on Deep Reinforcement Learning Wang Zhao, Yuusuke Nakano, Ken Nishimatsu (NTT) NS2020-3 |
[more] | NS2020-3 pp.13-17 |
| CQ, CS (Joint) |
2015-04-21 11:30 |
Fukuoka | Fukuoka Institute of Technology | Analysis of Bandwidth Allocation Algorithm Based on QoE Model for Video Services Takuto Kimura, Ken Nishimatsu, Masahiro Yokota, Akira Takahashi (NTT) CQ2015-5 |
We have proposed bandwidth allocation algorithm based on QoE model for video services. This algorithm aims to maximize t... [more] | CQ2015-5 pp.21-26 |
| AI | 2014-11-27 16:00 |
Fukuoka | User Location Estimation Using Kernel Density Estimation of Past Tweets Masahiro Yokota, Kei Takeshita, Ken Nishimatsu (NTT) AI2014-22 |
[more] | AI2014-22 pp.37-42 |
|
| NS, IN (Joint) |
2014-03-07 15:30 |
Miyazaki | Miyazaki Seagia | Extraction Method for Operation Process Inforation from Trouble Tickets Akio Watanabe, Tatsuaki Kimura, Tsuyoshi Toyono, Ken Nishimatsu (NTT) IN2013-199 |
[more] | IN2013-199 pp.327-330 |
| IN, NWS (Joint) |
2014-01-23 11:35 |
Aichi | Nagoya International Center | Proposal of pre-distribution technology using the search information Kohei Kamimura (Sophia Univ.), Masahiro Yokota, Kei Takeshita, Ken Nishimatsu, Haruhisa Hasegawa (NTT) IN2013-120 |
Due to the fast development of internet services, various contents are being available through internet. The influence o... [more] | IN2013-120 pp.15-20 |
| NS, IN (Joint) |
2013-03-08 14:30 |
Okinawa | Okinawa Zanpamisaki Royal Hotel | A Content Pre-delivery Method Based on User Behavior Information Masahiro Yokota, Kei Takeshita, Ken Nishimatsu, Haruhisa Hasegawa (NTT) IN2012-204 |
With the spread of video services, the increase in volume of traffic has become a issue for carriers. Therefore, carrier... [more] | IN2012-204 pp.299-303 |
| ICM, CQ, NS (Joint) |
2008-11-13 13:25 |
Fukushima | Nihon University | A Study on Statistical Multiplexing Effect of Video Traffic Takeshi Kurosawa (NTT), Kazuya Ohkita (Osaka Univ.), Ken Nishimatsu (NTT EAST), Kei Takeshita, Motoi Iwashita (NTT) NS2008-90 |
As one of a reason of increasing traffic in recent years, it is considered that video traffic and P2P traffic flow thro... [more] |
NS2008-90 pp.7-11 |
| ICM | 2008-03-14 11:10 |
Okinawa | Unstructured data classification using Co-Occurrence in telecommunication services Motoi Iwashita, Ken Nishimatsu, Shinsuke Shimogawa (NTT) TM2007-62 |
A variety of services have recently been provided according to the sophistication of networks and personal equipment. Th... [more] | TM2007-62 pp.55-60 |
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