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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS | 2023-04-13 13:40 |
Fukushima | Nihon University, Koriyama Campus + Online (Primary: On-site, Secondary: Online) |
Vehicle Traffic Density Estimation for Predicting Communication Traffic Volume by Vehicle Communication Service Yoshie Morita, Kengo Tajiri, Yoichi Matsuo (NTT) |
(To be available after the conference date) [more] | |
| IN, NS (Joint) |
2023-03-03 13:30 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
DNS Query Log Aggregation Method Based on Co-occuerence Masaki Kobayashi, Akito Suzuki, Masahiro Kobayashi (NTT), Tatsuaki Kimura (Osaka Univ.)  IN2022-118 |
The complexity of traffic demand fluctuation factors caused by the diversification of user terminals and services has ma... [more] | IN2022-118 pp.311-316 |
| IN, CCS (Joint) |
2022-08-05 09:40 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Machine Learning-Based Network Traffic Prediction with Tunable Parameters Kaito Kuriyama, Kohei Watabe (Nagaoka Univ. of Tech.) IN2022-20 |
Network evaluation has become increasingly important in recent years. Network evaluation requires large amounts of traf... [more] |
IN2022-20 pp.27-32 |
| MSS, NLP | 2022-03-28 09:40 |
Online | Online | Prediction of Traffic Accidents using Formal Concept Analysis with Actual Data Shogo Kotani, Yuta Asanuma, Masaki Nakamura, Kazutoshi Sakakibara, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Pref. Univ.) MSS2021-56 NLP2021-127 |
The purpose of this study is for preventing future traffic accidents by past ones to analyze traffic accident data based... [more] | MSS2021-56 NLP2021-127 pp.7-12 |
| SAT, SANE (Joint) |
2022-02-24 09:40 |
Online | Online | Dynamic Scheduling for Updating Traffic Demand Prediction Model and Switching Resource Control in Satellite Communication System Masaki Takahashi, Yuichi Kawamoto, Nei Kato (Tohoku Univ.) SAT2021-53 |
Recently, the movement to link satellite communication systems with 5G networks has been accelerated worldwide, which wi... [more] | SAT2021-53 pp.1-6 |
| SAT, SANE (Joint) |
2022-02-24 10:05 |
Online | Online | Study on Bandwidth usage Reduction by Traffic Prediction Using Transfer Learning in Satellite Communication Systems Kazumasab Tamada, Yuichi Kawamoto, Nei Kato (Tohoku Univ.) SAT2021-54 |
Recently, Internet traffic has been increasing owing to the widespread use of teleworking and flat-rate video distributi... [more] | SAT2021-54 pp.7-12 |
| SANE | 2022-01-18 11:30 |
Tokyo | ENRI (Primary: On-site, Secondary: Online) |
Improvements of Trajectory Estimation for Commercial Aircraft by using Gaussian Process Regression
-- Modeling Calibrated Airspeed of Descending Aircraft in Terminal Airspace -- Daichi Toratani (MPAT, ENRI) SANE2021-86 |
Trajectory prediction technique for commercial aircraft is an important element of air traffic control. Since the trajec... [more] | SANE2021-86 pp.19-24 |
| SIS | 2021-03-05 10:00 |
Online | Online | Prediction of Network Traffic through Gaussian Process Yitu Wang, Takayuki Nakachi (NTT) SIS2020-54 |
With accurate network traffic prediction, future communication networks can realize self-management and enjoy intelligen... [more] | SIS2020-54 pp.103-108 |
| PRMU, IPSJ-CVIM | 2021-03-05 15:40 |
Online | Online | An approach for predicting traffic accidents at intersections with 360 degree panorama images Daiki Tanaka, Kiyoharu Aizawa (The Univ. of Tokyo) PRMU2020-97 |
In this study, we used deep learning to predict traffic accidents. Traffic accidents are caused by a complex combination... [more] | PRMU2020-97 pp.158-163 |
| CQ, CBE (Joint) |
2021-01-20 11:15 |
Online | Online | [Invited Lecture]
Network control technologies based on QoS requirements Masahiro Kobayashi, Shigeaki Harada (NTT) CQ2020-64 |
With the development of virtualization technologies such as Software-Defined Networking (SDN) and Network Functions Virt... [more] | CQ2020-64 pp.22-26 |
| CS, CAS | 2020-02-27 14:30 |
Kumamoto | An Estimation of Network Traffic Validation based on Sparse Coding Takayuki Nakachi, Yitu Wang (NTT) CAS2019-107 CS2019-107 |
With accurate network traffic prediction, future communication networks can realize self-management and enjoy intelligen... [more] | CAS2019-107 CS2019-107 pp.55-60 |
|
| NS, ICM, CQ, NV (Joint) |
2019-11-21 10:45 |
Hyogo | Rokkodai 2nd Campus, Kobe Univ. | Investigation of The Effect of Using Attribute Information in Network Traffic Prediction with Deep Learning Yusuke Tokuyama, Yukinobu Fukushima, Yuya Tarutani, Tokumi Yokohira (Okayama Univ.) NS2019-122 |
It is crucial for network operators to predict network traffic in the future as accurate as possible for appropriate res... [more] | NS2019-122 pp.13-18 |
| RCS | 2019-10-24 14:45 |
Kanagawa | Yokosuka Research Park | [Invited Lecture]
Traffic Big Data Assisted V2X Communications Celimuge Wu, Tsutomu Yoshinaga (UEC), Yusheng Ji (NII) RCS2019-187 |
In order to enable smart transportation, an efficient vehicle-to-everything (V2X) communication scheme is required. Howe... [more] | RCS2019-187 pp.51-56 |
| CQ | 2019-08-27 13:55 |
Hokkaido | Hakodate arena | Big Data Assisted Broadcast in VANETs Celimuge Wu, Tsutomu Yoshinaga (UEC), Yusheng Ji (NII) CQ2019-66 |
Multi-hop broadcast communications are required for vehicular Internet-of-Things applications including intelligent tran... [more] | CQ2019-66 pp.49-53 |
| CCS, IN (Joint) |
2019-08-02 15:20 |
Hokkaido | KIKI SHIRETOKO NATURAL RESORT | Traffic Prediction by Extracting Users' Access Patterns Yuka Komai (NTT), Tatsuaki Kimura (Osaka Univ.), Masahiro Kobayashi, Shigeaki Harada (NTT) IN2019-22 |
Due to the emergence of diverse network services and devices, traffic patterns in recent networks become highly complica... [more] | IN2019-22 pp.43-46 |
| RCS, SR, SRW (Joint) |
2019-03-08 09:50 |
Kanagawa | YRP | A Study on Joint Probability Distribution Property of Busy/Idle Duration and its Impact on the Performance of Auto-regressive Based Predictor over Real Environmental Channel Yafei Hou (Okayama Univ.), Kazuto Yano (ATR), Satoshi Denno (Okayama Univ.), Yoshinori Suzuki (ATR) SR2018-137 |
For improving the spectrum efficiency (SE), one of efficient methods is allocating multiple bands for simultaneous wirel... [more] | SR2018-137 pp.89-96 |
| MoNA | 2018-12-25 11:05 |
Tokyo | Network traffic prediction method considering chaos theory with TCP and UDP Naoto Suzuki, Sumiko Miyata (SIT) MoNA2018-43 |
With the diversification of streaming communication, we need to predict network traffic in a mixed environment of TCP an... [more] | MoNA2018-43 pp.25-30 |
|
| CQ, ICM, NS, NV (Joint) |
2018-11-16 11:30 |
Ishikawa | Prediction of Variation in Network Traffic by RNN Haruka Osanai (Ochanomizu Univ.), Akihiro Nakao, Shu Yamamoto (Univ. of Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.), Masato Oguchi (Ochanomizu Univ.) NS2018-145 |
A network congestion is caused by large scale disasters, multiple OSes upgrades which happen simultaneously, DDoS attack... [more] | NS2018-145 pp.87-92 |
|
| CQ | 2018-07-20 13:50 |
Miyagi | Tohoku Univ. | Traffic Matrix Prediction based on Bidirectional Recurrent Neural Network and Long Short-Term Memory Van An Le, Phi Le Nguyen (Sokendai(The Graduate University for Advanced Studies)), Yusheng Ji (NII) CQ2018-40 |
Accurate prediction of the future network traffic plays an important role in various network problems (e.g. traffic engi... [more] | CQ2018-40 pp.51-56 |
| NS, IN (Joint) |
2018-03-01 09:00 |
Miyazaki | Phoenix Seagaia Resort | Predictive traffic engineering incorporating real-world information inspired by human brain cognition process Kodai Satake, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2017-93 |
The amount of traffic through networks is increasing both in quantity and in fluctuation. One approach to accommodating... [more] |
IN2017-93 pp.21-26 |
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