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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SS, MSS | 2022-01-12 11:35 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
A Method for Mesoscopic Modeling Method of Large Volume Traffic Flow Applying Process Mining Techniques Kenji Uehara, Kunihiko Hiraishi (JAIST)  MSS2021-51 SS2021-38 |
With the improvement of computing power and the widespread use of sensor technologies such as cameras and GNSS, highly a... [more] | MSS2021-51 SS2021-38 pp.112-117 |
| RISING (3rd) |
2021-11-16 09:30 |
Tokyo | (Primary: On-site, Secondary: Online) |
Implementation of Traffic Control Based on traffic control with trTCM using P4 Fumiya Oshima, Takuji Tachibana (Univ. Fukui) |
In order to control the quality of service (QoS) in communication networks, traffic control functions based on two rate ... [more] | |
| RISING (3rd) |
2021-11-17 09:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Analysis of Behaviors in Campus Network based on Traffic Patterns at Network Switches Yuya Nakanishi, Shingo Ata (Osaka City Univ.) |
In recent growth of ICT, especially in Universities, the enhancement of education by ICT such as remote lectures and the... [more] | |
| MIKA (3rd) |
2021-10-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A study on congestion control scheme in wireless network for IoT systems Yuto Mogi, Nobuhiko Itoh, Kenko Ota, Takefumi Hiraguri (NIT), Miki Yamamoto (Kansai Univ.), Hideaki Yoshino (NIT) |
With the spread and development of the Internet of Things (IoT), congestion due to overload of IoT systems is expected t... [more] | |
| AP | 2021-10-07 14:25 |
Online | Online | [Poster Presentation]
Study on Separation and Identification of Multiple Targets in Traffic Monitoring Using MW FM-CW Radar Kazuho Suzuki, Hiroyoshi Yamada (Niigata Univ.) AP2021-84 |
Recently, traffic monitoring systems near intersections using millimeter-wave radar have been attracting attention, targ... [more] | AP2021-84 pp.64-67 |
| IN, NS, CS, NV (Joint) |
2021-09-09 13:30 |
Online | Online | {Architecture for Configurable Real-time Device Identification in Campus Core Networks Kohei Hayashi (Osaka City Univ.), Kota Tuchie, Nobuyuki Nakamura, Taketsugu Yao (OKI), Shingo Ata (Osaka City Univ.) IN2021-14 |
In recent years, data traffic of IoT devices is increasing rapidly. In order to achieve a secure management of large-sca... [more] | IN2021-14 pp.13-18 |
| ICM | 2021-03-19 10:50 |
Online | Online | [Encouragement Talk]
Utility of Training Data in Sequential Accumulation Learning-Based Anomaly Detection Natsuki Fukazawa, Naoki Yoshida, Shingo Ata, Ikuo Oka (Osaka City Univ.) ICM2020-69 |
In Network-based Intrusion Detection Systems (NIDS) using supervised learning, one of important challengings is how to c... [more] | ICM2020-69 pp.52-57 |
| LOIS | 2021-03-04 14:15 |
Online | Online | Verification of delivery performance of the on-demand video delivery system Kenichi Shimizu, Yasuhiko Higaki, Shigeo Fujimoto, Yasuo Sugai (Chiba Univ.) LOIS2020-50 |
The on-demand class video delivery system developed by the authors has achieved stable operation without any major syst... [more] |
LOIS2020-50 pp.18-23 |
| 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 16:05 |
Online | Online | [Invited Talk]
A machine learning approach to data generation in networks Kohei Watabe (Nagaoka Univ. of Tech.) CQ2020-71 |
When we evaluate communication networks and protocols/applications running on them, it is important to demonstrate their... [more] | CQ2020-71 p.57 |
| IA, IN (Joint) |
2020-12-15 11:40 |
Online | Online | Application Identification Method with Meta-Learning Shun Tobiyama, Bo Hu, Kazunori Kamiya (NTT), Kenji Takahashi (NTT Ltd.) IN2020-40 |
With the continuous evolution of the Internet, a variety of web applications, such as video streaming, social network se... [more] | IN2020-40 pp.43-48 |
| LOIS, EMM, IE, IEE-CMN, ITE-ME, IPSJ-AVM [detail] | 2020-09-01 16:55 |
Online | Online | Design of e-learining oriented video streaming system Kenichi Shimizu, Yasuhiko Higaki, Shigeo Fujimoto, Yasuo Sugai (Chiba Univ.) LOIS2020-7 IE2020-19 EMM2020-31 |
A practical on-demand video delivery system on Moodle was designed and developed for e-learning system for Chiba Univers... [more] | LOIS2020-7 IE2020-19 EMM2020-31 pp.13-18 |
| ICM | 2020-07-17 09:25 |
Online | Online | Study on which data we should label in a few-shot learning for service identification over encrypted web services Shouta Yoshida, Yutaka Eguchi, Kohei Shiomoto (TCU) ICM2020-14 |
It is very important to monitor and control the communication traffic to cope with the increasing communication traffic... [more] |
ICM2020-14 pp.37-42 |
| ICM | 2020-03-03 10:00 |
Okinawa | Ohama Nobumoto Memorial Hall (Cancelled but technical report was issued) |
Automatic Accumulation of Learning Data on Learning-based Anomaly Detection Utilizing Communication Traffics Natsuki Fukazawa, Naoki Yoshida, Shingo Ata, Ikuo Oka (Osaka City Univ.) ICM2019-50 |
With the advancement and diversification of information infrastructure in recent years, the importance of network secur... [more] |
ICM2019-50 pp.49-54 |
| ICM | 2020-03-03 16:40 |
Okinawa | Ohama Nobumoto Memorial Hall (Cancelled but technical report was issued) |
SDN-based Dynamic Traffic Shaping Method Kota Ebine, Ryotaro Yamauchi, Shin-ichi Kuribayashi (Seikei Univ.) ICM2019-66 |
Traffic shaping controls communication traffic flow to prevent a specified communication rate from being exceeded. In co... [more] | ICM2019-66 pp.141-146 |
| LOIS, ICM | 2020-01-10 11:25 |
Nagasaki | ARKAS SASEBO | [Encouragement Talk]
A Two-stage Clustering Method for P2PTV Unit Traffic Classification and Its Evaluation Rina Ooka, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. of Tech.) ICM2019-39 LOIS2019-54 |
Peer-to-peer-based video streaming (P2PTV) in which user terminals (peers) directly communicate with each other has attr... [more] | ICM2019-39 LOIS2019-54 pp.51-56 |
| SSS | 2019-12-17 16:25 |
Tokyo | [Encouragement Talk]
Analysis of Accident Occurrence Using Traffic Accident Statistics Original Form Fumiya Fujita (Niigata Univ.) SSS2019-27 |
According to the Metropolitan Police Department, an average of nearly 10 people per day are killed by traffic accidents.... [more] | SSS2019-27 pp.19-22 |
|
| RISING (2nd) |
2019-11-27 13:55 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Representation Method of P2PTV Traffic Using Unit Traffic Patterns Rina Ooka, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. of Tech.) |
Peer-to-peer-based video delivery (P2PTV) applications exchange video data among peers and can thus reduce the server lo... [more] | |
| 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 |
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