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] |
|
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 |
SeMI, SeMI (Joint) |
2023-01-19 14:00 |
Tokushima |
Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study of Model Training Method based on Federated Learning for Distributed Inference with Split Computing Yutaro Horikawa, Takayuki Nishio (Tokyo Tech) SeMI2022-76 |
SC (Split computing) is a distributed inference method for load balancing and latency reduction, which splits a neural n... [more] |
SeMI2022-76 pp.25-27 |
SR |
2022-11-08 09:55 |
Fukuoka |
Fukuoka University (Primary: On-site, Secondary: Online) |
Adaptive selection of radio access technology for V2X with radio environment database Atsuki Mukoda, Takeo Fujii (UEC) SR2022-58 |
With the development of automated driving systems, the day when autonomous driving vehicles and non-autonomous driving v... [more] |
SR2022-58 pp.71-77 |
RISING (3rd) |
2022-10-31 13:00 |
Kyoto |
Kyoto Terrsa (Day 1), and Online (Day 2, 3) |
[Poster Presentation]
Network Anomaly Detection Method Based on Communication Volume Changes in Edge Switches Yuya Nakanishi, Shingo Ata (Osaka City Univ.) |
Early detection of failures and anomalies that occur in the network and prompt recovery processing are essential for sta... [more] |
|
NS |
2022-10-05 11:35 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Diffusion Performance Evaluation of Complementary Data Transmission Control Method for Large Spatio-Temporal Data Retention Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) NS2022-78 |
Spatio-temporal data is a type of IoT data that depends on the generated geographical location and time, such as weather... [more] |
NS2022-78 p.3 |
NS |
2022-10-06 09:40 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Low Computation-Complexity Digital Coherent Receivers for Short-Reach Optical Fiber Communication Systems Takuma Kuno, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ.) NS2022-90 |
To process increasing intra-datacenter traffic cost-effectively, it is urgent to expand the capacity of short-reach opti... [more] |
NS2022-90 pp.60-63 |
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 14:30 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Blockage prediction for millimeter-wave communications based on people flow data Hirofumi Nakajo, Takeo Fujii (UEC) SR2022-42 |
Thanks to the high bandwidth available at millimeter-wave (mmWave), mmWave communications support high data rates and la... [more] |
SR2022-42 pp.96-103 |
ICM |
2022-07-08 10:55 |
Hokkaido |
Tokachi Plaza (Primary: On-site, Secondary: Online) |
Data Contamination Determination Methods in Topology Estimation Technology Using Traffic Data Mizuto Nakamura, Yusuke Makino, Atsushi Takada, Kyoko Yamagoe (NTT) ICM2022-19 |
Telecommunication carriers operate their networks. When a failure occurs, they use the network configuration information... [more] |
ICM2022-19 pp.48-53 |
CAS, CS |
2022-03-04 15:55 |
Online |
Online |
Federated Learning with Correlated Sensing Data in Wireless Networks Keita Hibari, Masaya Kambara, Tomotaka Kimura, Jun Cheng (Doshisha Univ) CAS2021-99 CS2021-101 |
Federated leaning in wireless networks is considered where devices are gathered in several locations and the sensing dat... [more] |
CAS2021-99 CS2021-101 pp.136-140 |
SR |
2022-01-25 14:40 |
Online |
Online |
Performance Evaluation of Access Control and Transmission Datarate Adaptation using Redundant Check Information for IEEE 802.11ax Wireless LAN Kazuto Yano, Kenta Suzuki, Babatunde Ojetunde (ATR), Koji Yamamoto (Kyoto Univ.) SR2021-81 |
In order to meet increasing traffic load on wireless communication, the authors have conducted research and development ... [more] |
SR2021-81 pp.103-110 |
SeMI |
2022-01-20 15:00 |
Nagano |
(Primary: On-site, Secondary: Online) |
[Short Paper]
Evaluation of Few Round Training with Distillation-Based Semi-Supervised Federated Learning Yuki Yoshida (Tokyo Tech), Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Tokyo Tech) SeMI2021-65 |
This paper studies how to reduce the number of rounds in model training using Distillation-based Semi-supervised federat... [more] |
SeMI2021-65 pp.48-50 |
SITE, IA, IPSJ-IOT [detail] |
2021-03-01 13:55 |
Online |
Online |
Vehicle Management Application using Driving and Location Data for Running Vehicles Kazuma Nakahara, Yasuhumi Niwa, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) SITE2020-43 IA2020-39 |
With the improvement of public transportation, high maintenance costs of private cars, the expansion of the sharing econ... [more] |
SITE2020-43 IA2020-39 pp.29-32 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 13:00 |
Online |
Online |
Self-Evaluation of AIS Station Coverage Area for GTFS Realtime of Maritime Public Transport Naoki Yamane (NIT,Tokuyama College), Tomohiro Sunada, Kazuma Urata, Kenshiro Okamura (NIT, Oshima College), Misako Urakami (NIT,Tokuyama College) ITS2020-27 IE2020-41 |
GTFS (General Transit Feed Specification) Realtime is not advanced in the maritime filed because it is necessary to rece... [more] |
ITS2020-27 IE2020-41 pp.1-6 |
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 |
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 |
SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-10 12:00 |
Online |
Online |
A Study of Wireless System Selection with Spectrum Database for IoT Soraya Mitate, Yudai Yamazaki, Takeo Fujii (UEC), Shusuke Narieda (Mie Univ.) SR2020-21 |
In recent years, LoRaWAN (Long Range Wide Area Network) has been attracting attention because it enables long-distance c... [more] |
SR2020-21 pp.71-78 |
NS, IN (Joint) |
2020-03-05 11:00 |
Okinawa |
Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
Evaluation on File Transfer Methods Considering Demand Intensity Applied to Neighbor Cooperative Data Offloading Systems Kai Tsujimura, Junichi Funasaka (Hiroshima City Univ) IN2019-97 |
Conventional data offload methods using short-range communication have not taken into account multiple contents with dif... [more] |
IN2019-97 pp.127-132 |
NS, IN (Joint) |
2020-03-06 10:40 |
Okinawa |
Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
A study of wide-area distributed IoT network system Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII) NS2019-229 |
Various devices and equipment have connectibility with telecommunication, mobile networks, internet and local industrial... [more] |
NS2019-229 pp.289-294 |
IA |
2020-01-24 16:00 |
Tokyo |
Kwansei Gakuin University, Tokyo Marunouchi Campus (Sapia Tower) |
Study on enhancing the change of situation based on number of accessing countries Yuki Uemoto, Koji Okamura (Kyushu Univ.) IA2019-64 |
One campus DNS server accesses nearly 180 countries in one day. For the purpose of investigating the cause of the very l... [more] |
IA2019-64 pp.29-34 |