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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 2663  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CS 2020-07-16
10:40
Hokkaido Ripura(Rishiri Fuji)
(Primary: Online, Secondary: On-Site)
Rerouting Technique of Low-priority traffic in Layer-2 Network for Multi-service Accommodation with Time Aware Shaper
Naotaka Shibata, Shin Kaneko, Rintaro Harada, Kazuaki Honda, Jun Terada (NTT)
 [more]
CQ 2020-07-17
13:50
Fukuoka Fukuoka Univ. Study on transient fluctuation detection technology for multi-dimensional time series data
Shoko Takahashi, Daisuke Ikegami (NTT)
 [more]
ICM 2020-07-16
14:25
Online MALIOS A Study of Workflow Processes Aggregation with the Timer Mechanism for Workflow Cross-Control
Yuichi Suto, Ryosuke Sato, Aiko Oi, Kosuke Sakata, Yoshikazu Hagiwara, Tsuyoshi Furukawa (NTT)
 [more]
CS 2020-07-17
09:30
Hokkaido Ripura(Rishiri Fuji)
(Primary: Online, Secondary: On-Site)
[Tutorial Lecture] Construction of a Private Mobile Network with Open Source Software
Yohei Motomura, Jun-ya Kato (NTT)
 [more]
ICM 2020-07-17
09:00
Online MALIOS A Study of Flow Control Method to Improve Service Resource Usage Efficiency
Takashi Shirai, Kiyotaka Saito, Yuji Soejima (NTT)
 [more]
SRW 2020-06-29
11:00
Online   Vertical Tilt-Angle Characteristics of Omni/Sector Antenna
Tomoki Murakami (NTT), Tomohiro Seki (Nihon Univ.), Yasushi Takatori (NTT)
 [more]
MWP 2020-05-28
14:30
Online Kikai-Shinko-Kaikan Bldg. Experimental Evaluation of Remote Beamforming Scheme for Higher Frequency Band Radio-over-Fiber Systems
Kota Ito, Mizuki Suga, Yushi Shirato, Naoki Kita (NTT) MWP2020-2
We have proposed remote beamforming scheme for higher frequency band, which can remotely control the beam direction of b... [more] MWP2020-2
pp.7-12
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
10:30
Online 会議ツールは未定 Toward Estimation of Attentional Direction Using EEG Signals during Simultaneous Presentation of Two Types of Music
Kana Mizokuchi, Toshihisa Tanaka (TUAT), Takashi G. Sato, Yoshifumi Shiraki (NTT) SIP2020-9 BioX2020-9 IE2020-9 MI2020-9
People can pay selective attention to music or speech from various sounds.It has been reported that when multiple beat s... [more] SIP2020-9 BioX2020-9 IE2020-9 MI2020-9
pp.41-46
ICM, IPSJ-CSEC, IPSJ-IOT 2020-05-14
13:15
Misc.   Topology Discovery Method with Alarm Information for Telecom Network
Atsushi Takada, Naoki Hayashi, Mizuto Nakamura, Naoyuki Tanji, Toshihiko Seki, Kyoko Yamagoe (NTT) ICM2020-1
 [more] ICM2020-1
pp.1-6
NS 2020-05-15
13:20
Kyoto Doshisha University [Invited Lecture] Fiscal 2019 Report of Research Trends in Technical Committee on Network Systems
Yosuke Tanigawa (OPU), Shinya Kawano, Shiro Mizuno (NTT) NS2020-18
 [more] NS2020-18
pp.63-69
ICM, IPSJ-CSEC, IPSJ-IOT 2020-05-15
14:05
Misc.   A Study on Visual Analytics Method for Operation Analysis Utilizing Operation Log
Sayaka Yagi, Kimio Tsuchikawa, Fumihiro Yokose, Yuki Urabe, Haruo Oishi (NTT) ICM2020-4
Visualizing operational log data by node-link diagram is effective for understanding the actual state of complicated ope... [more] ICM2020-4
pp.19-23
NS 2020-04-16
14:15
Yamaguchi KAIKYO MESSE SHIMONOSEKI 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
NS 2020-04-17
10:45
Yamaguchi KAIKYO MESSE SHIMONOSEKI A study on Architecture and Implementation of D-Plane for E2E Network Slice
Takayuki Nakamura, Shunsuke Homma, Mitsuo Amasaka, Takuya Sato, Tomohiro Okada (NTT) NS2020-6
In recent years, in order to support various network services assumed in the 5G era, network slice is being studied that... [more] NS2020-6
pp.51-56
NS 2020-04-17
11:35
Yamaguchi KAIKYO MESSE SHIMONOSEKI 5G xHaul Sharing as Slices Implementation with TAPI based orchestration
Hiroki Baba, Shiku Hirai, Takuya Tojo, Takayuki Nakamura, Aki Fukuda, Saburou Seto, Seisho Yasukawa (NTT), Hiroshige Tanaka (NTT Communications), Taiki Yamazaki, Noriyoshi Yamazaki, Noritaka Abe (OOL) NS2020-8
The decomposition of a 5G radio access network (RAN) accelerates inter-operator infrastructure sharing of the correspond... [more] NS2020-8
pp.63-68
SC 2020-03-16
14:15
Online Hitachi Central Research Laboratory Evaluation of Automatic GPU and FPGA Offloading for Function Blocks of Applications
Yoji Yamato (NTT) SC2019-44
 [more] SC2019-44
pp.59-66
PRMU, IPSJ-CVIM 2020-03-16
16:20
Kyoto   [Short Paper] Aleatoric Uncertainty Estimation Based on Separate Formulation
Takumi Kawashima, Qing Yu (Tokyo Univ.), Akari Asai (.UW), Daiki Ikami (NTT/Tokyo Univ.), Kiyoharu Aizawa (Tokyo Univ.) PRMU2019-84
(To be available after the conference date) [more] PRMU2019-84
pp.99-100
PRMU, IPSJ-CVIM 2020-03-17
16:00
Kyoto   Acceleration of Deep Learning Inference by Model Cascading
Shohei Enomoto, Takeharu Eda (NTT) PRMU2019-98
In recent years, various applications have appeared due to the development of deep learning and the spread of IoT device... [more] PRMU2019-98
pp.203-208
LOIS 2020-03-12
11:05
Okinawa Nobumoto Ohama Memorial Hall Distributed active learning achieving both of monitoring and efficient time-series data sampling for edge computing
Osamu Saisho, Keiichiro Kashiwagi, Yui Saito, Tomoyuki Fujino (NTT) LOIS2019-73
For edge computing, there is still a great demand to upload only meaningful data to cloud,. However there is no practica... [more] LOIS2019-73
pp.97-101
NS, IN
(Joint)
2020-03-05
11:40
Okinawa Royal Hotel Okinawa Zanpa-Misaki A proposal of topology design method for optical transmission networks
Kohjun Koshiji (NTT), Masaki Okada (JAIST), Yasuharu Kaneko, Mika Ishizuka, Saburo Seto, Seisho Yasukawa (NTT) NS2019-200
In recent years, with the spread of communication services utilizing AI (Artificial Intelligence) and IoT (Internet of T... [more] NS2019-200
pp.135-140
NS, IN
(Joint)
2020-03-06
10:00
Okinawa Royal Hotel Okinawa Zanpa-Misaki [Technology Exhibit] Machine learning pipeline for analyzing Large-scale traffic
Morikawa Akira, Bo Hu (NTT) NS2019-212 IN2019-103
Recently, machine learning becomes promising to automatically extract intelligence from network traffic for cybersecurit... [more] NS2019-212 IN2019-103
p.191(NS), p.151(IN)
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