Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS |
2023-05-18 18:20 |
Okinawa |
Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Mobility-Aware Timing Control of Parameter Aggregation in Edge Federated Learning Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. of Tech.), Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki (Univ. of Tokyo) SeMI2023-7 |
Services that utilize region-specific data collected by onboard vehicle sensors have been attracting attention.
In thes... [more] |
SeMI2023-7 pp.26-29 |
CCS |
2023-03-26 16:25 |
Hokkaido |
RUSUTSU RESORT |
Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker Masaki Sugiyama (TUS), Li Aohan (UEC), Makoto Naruse (UTokyo), Mikio Hasegawa (TUS) CCS2022-79 |
Non-orthogonal multiple access (NOMA) is a technology that allows multiple users to share the same channel with appropri... [more] |
CCS2022-79 pp.91-96 |
ICM |
2023-03-17 13:15 |
Okinawa |
Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Evaluating Impact of Users' sojourn time on Learning Performance in Spot-Based Federated Learning Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. of Tech.), Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki (Univ. of Tokyo) ICM2022-56 |
In federated learning (FL), each update of the model generates communication, which increases the traffic on the mobile ... [more] |
ICM2022-56 pp.80-83 |
ICM |
2023-03-17 14:45 |
Okinawa |
Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
A Location-based Group Construction Method for Distributed Machine Learning Ryota Hasegawa (SIT), Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (SIT) ICM2022-60 |
Recently, machine learning (ML) has been utilized in various situations as a technology for learning from large amounts ... [more] |
ICM2022-60 pp.101-104 |
IN, NS (Joint) |
2023-03-02 11:00 |
Okinawa |
Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Resource allocation methods for efficient and fairness utilization of network and computational resources in edge cloud
-- Scalable resource allocation and network path selection -- Shota Akiyoshi (Kyutech), Yuzo Taenaka (NAIST), Kazuya Tsukamoto (Kyutech) NS2022-170 |
Cross-domain data fusion in the edge cloud is becoming a key driver to growth of the numerous and diverse applications i... [more] |
NS2022-170 pp.19-24 |
RCS, SR, SRW (Joint) |
2023-03-02 10:15 |
Tokyo |
Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Highly Accurate Terminal Location Estimation Method by Template Matching Using Receiving Power Transition Information in the VHF-Band Keika Minaki, Keiichi Mizutani, Hiroshi Harada (Kyoto Univ.) SRW2022-50 |
A method for estimating the location of a mobile terminal equipped with ARIB STD-T103/119-based VHF-band public broadban... [more] |
SRW2022-50 pp.37-42 |
KBSE |
2023-01-19 14:40 |
Ishikawa |
(Primary: On-site, Secondary: Online) |
Fairness-aware human resource allocation for runtime business process Nayuta Egashira, Hiroki Horita (Ibaraki Univ.) KBSE2022-46 |
Predictive business process monitoring improves the work efficiency of a running business process based on the analysis ... [more] |
KBSE2022-46 pp.19-24 |
IN, IA (Joint) |
2022-12-12 15:35 |
Hiroshima |
Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study of a Metaverse Object Management Method Based on Visible Regions Using Geographical Overlay Networks Nobuki Aoki, Tomoya Kawakami (Fukui Univ.), Satoru Matsumoto, Tomoki Yoshihisa (Osaka Univ.), Yuuichi Teranishi (NICT/Osaka Univ.) IA2022-49 |
In this study,we investigate a method to distribute and manage objects in a virtual space (metaverse) among multiple com... [more] |
IA2022-49 pp.23-24 |
CCS |
2022-11-18 16:25 |
Mie |
(Primary: On-site, Secondary: Online) |
Edge Server Placement Decision Method Using Utilization Variance and Eccentricity Koki Shibata, Sumiko Miyata (SIT) CCS2022-61 |
When edge computing is used for automated driving technology or online gaming, it is important to reduce the maximum del... [more] |
CCS2022-61 pp.91-96 |
RISING (3rd) |
2022-10-31 10:30 |
Kyoto |
Kyoto Terrsa (Day 1), and Online (Day 2, 3) |
[Poster Presentation]
Resource allocation method for fairness and efficient utilization of network and computational resources in edge networks Shota Akiyoshi (Kyutech), Yuzo Taenaka (NAIST), Kazuya Tsukamoto (Kyutech) |
Cross-domain data fusion is becoming a key driver of the growth of numerous and diverse applications in the IoT era. We ... [more] |
|
IA, CQ, MIKA (Joint) |
2022-09-15 18:15 |
Hokkaido |
Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
Development and Evaluation of Safety Support System for Bicycle Driving by Analyzing Multi-Sensor Data Koki Kishimoto, Hiroshi Yamamoto (Ritsumeikan Univ.) IA2022-24 |
In recent years, the number of bicyclists has increased in Japan due to various reasons such as improvement of health aw... [more] |
IA2022-24 pp.54-59 |
AP, SANE, SAT (Joint) |
2022-07-28 13:30 |
Hokkaido |
Asahikawa Taisetsu Crystal Hall (Primary: On-site, Secondary: Online) |
A Study on Reduction of Transmission Time for Vehicle-to-Vehicle Communications Using NR Sidelink with Unmanned Aerial Vehicle in Disaster Situations Rin Yamazaki, Yuichi Kawamoto, Nei Kato (Tohoku Univ.) AP2022-49 SANE2022-30 SAT2022-25 |
In recent years, the demand for services using wireless communication has increased rapidly, creating a demand for more ... [more] |
AP2022-49 SANE2022-30 SAT2022-25 pp.86-90(AP), pp.44-48(SANE), pp.47-51(SAT) |
RCS |
2022-04-22 10:55 |
Osaka |
Osaka University, and online (Primary: On-site, Secondary: Online) |
Capacity-Fairness Tradeoff-aware Optimal Power Allocation for Cluster-wise Distributed MU-MIMO System Sijie Xia, Chang Ge, Qiang Chen, Fumiyuki Adachi (Tohoku Univ.) RCS2022-7 |
According to the ever-increasing mobile data traffic, ultra-dense distributed antenna system is recommended to support t... [more] |
RCS2022-7 pp.30-34 |
NS, IN (Joint) |
2022-03-11 10:10 |
Online |
Online |
A resource allocation method of network and computational resources in edge networks Shota Akiyoshi (Kyutech), Yuzo Taenaka (NAIST), Kazuya Tsukamoto (Kyutech) NS2021-141 |
Cross-domain data fusion is becoming a key driver to growth of the numerous and diverse applications in IoT era. We have... [more] |
NS2021-141 pp.109-114 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 10:35 |
Online |
Online (Zoom) |
[Short Paper]
Estimating direction of pedestrians during free walking using a hand-held smartphone Ikuto Ohki, Hidehiko Shishido, Yoshinari Kameda (U-Tsukuba) IMQ2021-17 IE2021-79 MVE2021-46 |
In a walking support system for the visually impaired, if the system can estimate which way the next step will be taken,... [more] |
IMQ2021-17 IE2021-79 MVE2021-46 pp.39-42 |
EMM |
2022-03-07 13:50 |
Online |
(Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Head location estimation using CSRNet for understanding Highly Congested Scenes Takuya Nagatoshi, Michiharu Niimi (KIT) EMM2021-95 |
Neural network for congested scene recognition called CSRNet has been proposed. The purpose of CSRNet is to count the nu... [more] |
EMM2021-95 pp.17-22 |
RCS, SR, SRW (Joint) |
2022-03-04 17:15 |
Online |
Online |
A Study on Detecting Object Location Information in Indoor Environment Using Fixed 3D LiDAR Mizuki Tanaka, Seiichi Sampei, Takumi Takahashi (Osaka Univ.) RCS2021-295 |
This paper proposes a 3D map creation scheme for detecting objects in indoor environments using 3D LiDARs. In the propos... [more] |
RCS2021-295 pp.218-222 |
RCS, SIP, IT |
2022-01-20 17:45 |
Online |
Online |
An Indoor Location Estimation Method with Learning Point Reduction Imai Masahito, Koyama Akio (Yamagata Univ.) IT2021-59 SIP2021-67 RCS2021-227 |
There are many location-based services using GPS. For instance, navigating a car, navigating pedestrians using apps on s... [more] |
IT2021-59 SIP2021-67 RCS2021-227 pp.173-178 |
SeMI |
2022-01-21 16:00 |
Nagano |
(Primary: On-site, Secondary: Online) |
[Short Paper]
Definition of a new feature of location activeness using Inverse Discrete Fourier Transform Shunei Inoue, Yutaka Arakawa, Shigemi Ishida (Kyushu Univ.) SeMI2021-76 |
It is important to promote Evidence-Based Policy Making (EBPM) to conduct effective tourism policies with unique tourism... [more] |
SeMI2021-76 pp.92-97 |
SRW, SeMI, CNR (Joint) |
2021-11-26 09:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Terminal Location Estimation Using Delay Profile by Machine Learning with Hierarchical Clustering Jun Hirata, Keichi Mizutani, Hiroshi Harada (Kyoto Univ.) SRW2021-36 |
A location estimation method using machine learning with hierarchical clustering of delay profiles has been proposed as ... [more] |
SRW2021-36 pp.37-42 |