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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2024-03-14 10:00 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Extraction of Traffic Accident High-Risk Areas Using Deep Learning of Map Images and Grad-CAM Kaito Arase, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)  MSS2023-86 NLP2023-138 |
An attempt has been made to predict the traffic accident risk of each map tile image at zoom level 17 using a Convolutio... [more] | MSS2023-86 NLP2023-138 pp.71-76 |
| IA | 2023-11-22 16:25 |
Aomori | Aomori Prefecture Tourist Center ASPM (Aomori) (Primary: On-site, Secondary: Online) |
Improving the accuracy of flow prediction and anomaly detection in GAMPAL, a general-purpose anomaly detection mechanism for Internet traffic Taku Wakui (Keio Univ./Hitachi), Fumio Teraoka (Keio Univ.), Takao Kondo (Hokkaido Univ./Keio Univ.) IA2023-41 |
The authors propose a general-purpose anomaly detection mechanism using Prefix Aggregate without Labeled data (GAMPAL) f... [more] | IA2023-41 pp.33-40 |
| NS | 2023-10-05 09:20 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Experimental Evaluation of Vehicle Traffic Density Estimation for Predicting Communication Traffic Volume by Vehicle Communication Services Yoshie Morita, Kengo Tajiri, Yoichi Matsuo (NTT) NS2023-84 |
Vehicle communication services using the mobile communication network would further increase communication traffic volum... [more] | NS2023-84 pp.71-76 |
| IA | 2023-09-21 14:40 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Extracting context from external events using auxiliary information from network traffic data Eilaf M.A Babai, Koji Okamura (Kyushu Univ.) IA2023-13 |
Network traffic flow data is the main source of information about the network status, and it is constantly monitored to ... [more] | IA2023-13 pp.11-18 |
| CS | 2023-07-27 09:38 |
Tokyo | Hachijo-machi Chamber of Commerce and Industry | Proposal and Evaluation of Timed Bandwidth Control for Mobile Terminal Accommodation Ryo Murakami, Yuta Tachikawa, Yuki Hatanaka, Tetsuya Yokotani (KIT), Seiji Kozaki (Shizuoka University/MITSUBISHI ELECTRIC), Hiroshi Mineno (Shizuoka University), Takeshi Suehiro, Kenichi Nakura, Satoshi Shirai (MITSUBISHI ELECTRIC) CS2023-19 |
In the 5th Generation mobile network (5G), small cells will be deployed actively. Passive Optical Network (PON) technolo... [more] | CS2023-19 pp.3-4 |
| 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) NS2023-3 |
Vehicle communication services are new services using the mobile communication network. Since these services are expecte... [more] | NS2023-3 pp.13-18 |
| 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 |
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