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 |
NS, IN (Joint) |
2024-03-01 10:45 |
Okinawa |
Okinawa Convention Center |
ECN Congestion Control with Gradient of Queue Length for Inter-Datacenter Gateway Proxy Keita Aoki, Miki Yamamoto (Kansai Univ.) NS2023-211 |
For data replication and database synchronization, inter-DC (Data Center) communications play an important role. Inter-D... [more] |
NS2023-211 pp.230-235 |
NS, RCS (Joint) |
2023-12-15 17:10 |
Fukuoka |
Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
A Study of Q-drop Identification by Analyzing Receiver-Side Quality Data for Optical Transmission Systems Kohei Watanabe, Hiroshi Yamamoto, Hiroki Date, Daisaku Shimazaki (NTT), Yutaka Fukuchi, Hideki Maeda (TUS) NS2023-153 |
High reliability is required for optical transmission systems, which are widely deployed as the network infrastructure f... [more] |
NS2023-153 pp.157-162 |
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 |
RISING (3rd) |
2023-10-31 13:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Few Shot Learning-Driven Traffic Forecast for 5G VNF Scaling Qianqian Pan, Akihiro Nakao (The Univ. of Tokyo) |
Virtual network functions (VNFs) make 5G networks more feasible to the diverse and heterogeneous communication environme... [more] |
|
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 |
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, 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 |
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 |
NS, IN (Joint) |
2020-03-06 13:20 |
Okinawa |
Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
Relearning Mechanism to Follow Trend Changes for Resource Arbitration in NFV Platforms Takahiro HIrayama, Mashiro Jibiki, Ved P. Kafle (NICT) IN2019-137 |
Network Function Virtualization (NFV) provides diverse virtualized functions for services such as Internet-of-Things (Io... [more] |
IN2019-137 pp.351-356 |
RCS, SR, SRW (Joint) |
2020-03-04 09:00 |
Tokyo |
Tokyo Institute of Technology (Cancelled but technical report was issued) |
R&D of Technology for High Reliability Management of Advanced 5G Network to Various Requirements of Communication Services Takahide Murakami, Hiroyuki Shinbo, Yu Tsukamoto, Shinobu Nanba, Yoji Kishi (KDDI Research), Morihiko Tamai, Hiroyuki Yokoyama (ATR), Takanori Hara, Koji Ishibashi (The University of Electro-Communications), Kensuke Tsuda, Yoshimi Fujii (Kozo Keikaku Engineering Inc.), Fumiyuki Adachi, Keisuke Kasai, Masataka Nakazawa (Tohoku Univ.), Yuta Seki, Takayuki Sotoyama (Panasonic) RCS2019-320 |
As the 5th generation mobile communication system is widespread approximately 2025, more variety of communication qualit... [more] |
RCS2019-320 pp.1-6 |
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 |
RISING (2nd) |
2019-11-27 13:55 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Poster Presentation]
Resource Allocation Incorporating Real-World Information For Network Slices With Human Brain Cognition Semin An, Yuichi Ohsita, Nasayuki Murata (Osaka Univ.) |
Network slicing is a technology to accomodate various network services. By using a network slicing, we allocate resource... [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 |
AP, RCS (Joint) |
2019-11-21 10:15 |
Saga |
Saga Univ. |
Study of Frequency Usage Prediction Using Machine Leaning for Spectrum Sharing Hiroki Hosoi, Toshiyuki Maeyama (Takushoku Univ.), Tatsuya Yoshioka (ATR), Nobuo Suzuki (Kindai Univ.) RCS2019-216 |
Recently, traffic has been increasing rapidly, there is concern about the depletion of frequency resources. For this rea... [more] |
RCS2019-216 pp.79-84 |
SR (2nd) |
2019-11-04 - 2019-11-05 |
Overseas |
Rutgers University Inn & Conference Center, NJ, USA |
Traffic Prediction in Future Mobile Networks using Hidden Markov Model Sumeet Dash (Shiv Nadir Univ.), Sumit Maheshwari (Rutgers Univ.), Sudipta Mahapatra (IIT Kharagpur) |
The recent advances in the wireless network architectures are mainly focused on improving the end-user performance as me... [more] |
|
AP |
2019-10-18 13:00 |
Osaka |
Osaka Univ. |
A study on variety and size of input data for radio propagation prediction using a deep neural network Takahiro Hayashi, Tatsuya Nagao, Satoshi Ito (KDDI Research, Inc) AP2019-102 |
Not only has the volume of mobile traffic been increasing exponentially in recent years, making various services availab... [more] |
AP2019-102 pp.119-124 |
RCS, SAT (Joint) |
2019-08-23 11:45 |
Aichi |
Nagoya University |
Wireless Network Control Enabled by Data Assessment Using Machine Learning Ryoichi Shinkuma, Takayuki Nishio (Kyoto Univ.) RCS2019-166 |
The real-time prediction of spatial information is promising for next-generation mobile networks. Recent developments in... [more] |
RCS2019-166 pp.109-112 |
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 |