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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CQ, CS (Joint) |
2024-05-16 13:00 |
Aichi | (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study on Data Traffic Estimation in IEEE 802.15.6ma Standard Kosei Nagai, Daisuke Anzai (NITech) |
(To be available after the conference date) [more] | |
| ICSS, IPSJ-SPT | 2024-03-21 14:55 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
An Examination of Privacy-Aware Malicious Activity Detection Methods Using NII-SOCS Benchmark Data Takeshi Ogawa (Nagoya Univ.), Hirokazu Hasegawa (NII), Yukiko Yamaguchi, Hajime Shimada (Nagoya Univ.)  ICSS2023-81 |
Detection of malicious communications from communication logs may pose a risk of privacy infringement as it requires mon... [more] | ICSS2023-81 pp.87-92 |
| CAS, CS | 2024-03-14 16:20 |
Okinawa | An Approximate Solution Using K-Shortest Path and Reinforcement Learning for a Load Balancing Problem in Communication Networks Himeno Takahashi, Norihiko Shinomiya (Soka Univ.) CAS2023-123 CS2023-116 |
In recent years, the amount of data traffic in information and communication networks has been increasing and the risk o... [more] | CAS2023-123 CS2023-116 pp.70-73 |
|
| NLP, MSS | 2024-03-13 15:00 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Formal Concept Analysis of Traffic Accidents Factors using Traffic Accident Summaries Haruto Murakami, Kazutoshi Sakakibara, Masaki Nakamura, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Prefectural Univ.) MSS2023-79 NLP2023-131 |
The purpose of this study is to support police activities targeting elderly pedestrians and other vulnerable road users,... [more] | MSS2023-79 NLP2023-131 pp.42-47 |
| 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) |
2024-02-29 11:35 |
Okinawa | Okinawa Convention Center | Real-time Application Identification Scheme and Evaluation Method Using Machine Learning Tatsuhiro Ou, Kenji Kanai, Akihiro Nakao (Tokyo Univ.) NS2023-189 |
With the diversification of mobile applications, the implementation of priority control that meets the communication req... [more] | NS2023-189 pp.103-108 |
| IA | 2024-01-25 12:45 |
Tokyo | Kwansei Gakuin Univiversity, Marunouchi Campus (Primary: On-site, Secondary: Online) |
[Keynote Address]
Thoughts on Network Data Analysis Kenichi Yoshida (Univ. of Tsukuba) IA2023-60 |
The author began his career as a researcher during the second AI boom (1980 -) and found a way out in Internet research ... [more] | IA2023-60 pp.23-26 |
| ICTSSL, CAS | 2024-01-25 10:20 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Using Deep Learning to Recognize and Determine the State of Snow on LED Traffic Signals Regardless of the Outside Environment and Its Application Megumi Matsuzaka, Tsubasa Saito, Yuichi Sato (Akita Univ.) CAS2023-84 ICTSSL2023-37 |
Currently, the use of LEDs in traffic signals is being promoted for various advantages. However, due to the characterist... [more] | CAS2023-84 ICTSSL2023-37 pp.11-16 |
| IN, IA (Joint) |
2023-12-21 11:05 |
Hiroshima | Satellite Campus Hiroshima | A Study of Evaluation of Optimal Route Selection Adaptive to Urban Traffic Changes for Crowd-Sourced Delivery Koki Furukawa, Yukio Ogawa, Kaoru Ota, Mianxiong Dong (Muroran-IT) IN2023-43 |
Crowd-Sourced Delivery (CSD) has been attracting attention in recent years. The selection of delivery routes is one of t... [more] | IN2023-43 pp.19-24 |
| ITS, WBS, RCC | 2023-12-22 14:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Optimization of commute planning by CMOS annealing for traffic congestion mitigation Kento Hasegawa, Yusuke Sugita (Hitachi), Katsuhiko Mutsuga (AISIN), Toshiharu Ieki (AISIN SOFTWARE), Masanao Yamaoka (Hitachi) WBS2023-60 ITS2023-43 RCC2023-54 |
Traffic congestion is one of the serious social issues in terms of economic loss and environmental impact, and various c... [more] | WBS2023-60 ITS2023-43 RCC2023-54 pp.167-172 |
| IBISML | 2023-12-20 16:00 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Estimating Total Traffic Volume with Joint Matrix Factorization Yuma Taguchi (TCRDL), Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima (TMC), Katsushi Sanda (TCRDL) IBISML2023-33 |
Knowing the actual traffic volume on each street across a city can benefit various fields, such as transportation and th... [more] | IBISML2023-33 pp.18-24 |
| NS, RCS (Joint) |
2023-12-15 17:35 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Device Type Classification based on Periodicity Analysis of Evenly Spaced Interpolated Traffic Chikako Takasaki, Tomohiro Korikawa, Kyota Hattori, Hidenari Ohwada (NTT) NS2023-154 |
In the beyond 5G and 6G networks, the number of connected devices and their types will greatly increase including not on... [more] | NS2023-154 pp.163-168 |
| 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 |
| NS | 2023-10-05 13:25 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
IoT Device Identification based on Traffic Pattern Analysis with Two-stage Clustering Mizuki Asano, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. Tech.) NS2023-90 |
In recent years, the realization of smart homes, which will provide more effective and comfortable lifestyles by leverag... [more] | NS2023-90 pp.105-110 |
| 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 |
| IA | 2023-09-22 10:40 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
OLIViS: An OSINT-Based Lightweight Method for Identifying Video Content Services for Capacity Planning in Backbone ISPs Yuki Tamura, Fumio Teraoka, Takao Kondo (Keio Univ.) IA2023-23 |
As of 2022, 66% of Internet traffic is generated by video content services, among which Netflix and YouTube are the domi... [more] | IA2023-23 pp.75-82 |
| CS | 2023-07-27 10:02 |
Tokyo | Hachijo-machi Chamber of Commerce and Industry | Study on Traffic Reduction Scheme with Super-Resolution for Object Detection Hotaka Hoshino, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh (NIT) CS2023-27 |
Drones send images of tomato flowers to a pollination classification device that estimates from the shape of the flower ... [more] | CS2023-27 pp.35-36 |
| CS | 2023-07-28 09:00 |
Tokyo | Hachijo-machi Chamber of Commerce and Industry | CS2023-48 |
IoT services have been deployed in various areas. In these IoT services, several requirements in the quality of service ... [more] | CS2023-48 pp.109-114 |
| NS | 2023-05-12 10:00 |
Tokyo | Shinjuku Campus, Kogakuin University + Online (Primary: On-site, Secondary: Online) |
On Kernel Networking Using extended Berkeley Packet Filter Empowered by Neural Networks Takanori Hara (NAIST), Masahiro Sasabe (Kansai Univ.) NS2023-15 |
extended Berkeley Packet Filter (eBPF) is a technology to control a Linux kernel through an arbitrary program. It has be... [more] | NS2023-15 pp.26-31 |
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