Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CQ, CS (Joint) |
2024-05-16 17:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
[Special Invited Talk]
Reconstruction of Campus Network Based on Quality of Experience (QoE) Kyoko Yamori (Asahi Univ.) |
(To be available after the conference date) [more] |
|
SS, MSS |
2024-01-18 15:05 |
Ishikawa |
(Primary: On-site, Secondary: Online) |
Development of Management Methods against Inappropriate Data Segments in Bus Passenger OD Estimation using Person Tracking Methods Tsubasa Nishiura, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokkaido Univ.) MSS2023-69 SS2023-48 |
We are advancing the development of a passenger Origin-Destination (OD) estimation system using bus passengerboarding an... [more] |
MSS2023-69 SS2023-48 pp.99-104 |
MSS, CAS, IPSJ-AL [detail] |
2023-11-17 14:05 |
Okinawa |
|
Facilitating Knowledge Sharing Workshop by Natural Language Processing
-- Application and Evaluation of a Smart Voice Message System in Maintenance Operations -- Riku Ogawa, Moritaro Inoue, Naoshi Uchihira (JAIST) CAS2023-78 MSS2023-48 |
In maintenance and inspection work, the utilization and sharing of tacit knowledge held by workers in the field is impor... [more] |
CAS2023-78 MSS2023-48 pp.95-100 |
IA |
2023-09-22 14:35 |
Hokkaido |
Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Development and Evaluation of Blockchain-based Work Execution Status Management and Verification System Rui Tanaka, Hideaki Miyaji, Hiroshi Yamamoto (Ritsumeikan Univ) IA2023-29 |
In Japan, the number of companies allowing side jobs is increasing. However, there are various problems in the situation... [more] |
IA2023-29 pp.109-114 |
NLP, MSS |
2023-03-17 11:00 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Knowledge Extraction by Machine Learning Using Physical and Human Sensors in Smart Agriculture Kenta Toya, Moritaro Inoue, Naoshi Uchihira (JAIST) MSS2022-97 NLP2022-142 |
Smart agriculture based on IoT is one of the effective methods to improve the efficiency of agricultural work. However, ... [more] |
MSS2022-97 NLP2022-142 pp.164-167 |
MWPTHz, PN, EMT, IEE-EMT [detail] |
2023-01-23 15:20 |
Osaka |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Application of AI Technology for Sophisticated Operation of Optical Networks Yuji Kobayashi, Jun Kodama, Takehiko Mizoguchi, Yoshiaki Sakae, Yasuhiro Ajiro, Morihiko Ota (NEC) PN2022-35 EMT2022-73 MWPTHz2022-61 |
“Beyond 5G” is expected to be an infrastructure that will play a central role in a cyber-physical society such as “Socie... [more] |
PN2022-35 EMT2022-73 MWPTHz2022-61 pp.22-29 |
RISING (3rd) |
2022-10-31 10:30 |
Kyoto |
Kyoto Terrsa (Day 1), and Online (Day 2, 3) |
[Poster Presentation]
Validation of a Low Latency Method for Wireless LANs using Reinforcement Learning in a Thermal Power Plant Environment Daiki Yoda, Toshihisa Nabetani (Toshiba) |
In industry, the demand for wireless communications is increasing, and especially in control communication applications,... [more] |
|
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 14:25 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Development and Evaluation of Blockchain-based Work Execution Status Management and Verification System Rui Tanaka (Ritsumeikan Univ.), Hiroshi Yamamoto (Ritsumeikan University) NS2022-48 |
In Japan, due to the revision of the model employment regulations, the companies that allows side jobs are increasing. H... [more] |
NS2022-48 pp.112-117 |
AI |
2022-07-04 10:20 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Designing Rewards in Deep Reinforcement Learning for Chick Feeding System Masato Kijima, Katsuhide Fujita, Tsuyoshi Shimmura (TAT) AI2022-2 |
Livestock is raised cage-free, and there is an urgent need to develop an appropriate livestock management system.
The... [more] |
AI2022-2 pp.7-12 |
RECONF |
2022-06-08 09:20 |
Ibaraki |
CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
Investigation of methods to accelerate inference processing by deep learning Seiya Iwamoto, Chikako Nakanishi (OIT) RECONF2022-13 |
AI technologies such as deep learning are generally computationally intensive and have very high performance requirement... [more] |
RECONF2022-13 pp.52-56 |
SANE |
2022-05-24 13:00 |
Kanagawa |
Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
[Special Talk]
Cognitive Electronic Warfare: Using AI in EW Systems Karen Zita Haigh (N/A) SANE2022-7 |
This presentation will highlight how artificial intelligence (AI) can be used to solve critical problems in EW. I will d... [more] |
SANE2022-7 pp.33-37 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 15:55 |
Online |
Online (Zoom) |
Model selection for link quality prediction based on physical space information Hisashi Nagata, Riichi Kudo, Kahoko Takahashi, Tomoaki Ogawa (NTT) CQ2021-106 |
With the development of wireless communication technology, it is expected that all things will be connected to the netwo... [more] |
CQ2021-106 pp.31-36 |
LOIS, ICM |
2022-01-27 13:00 |
Online |
Online |
Proposal and Evaluation of a Methodology to Estimate Cause of Failure Based on Multiple Monitoring Data on Microservice Systems Shun Matsumoto, Masaru Sakai, Kensuke Takahashi, Satoshi Kondoh (NTT) ICM2021-33 LOIS2021-31 |
Microservice architecture, which divides service components into small components and provides services by having each c... [more] |
ICM2021-33 LOIS2021-31 pp.1-6 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:50 |
Online |
Online |
Open circuit voltage estimation and evaluation of lithium-ion batteries using machine learning models Hideaki Ito, Shohei Irikuchi, Yuuichiro Nishimura, Masahiro Fukui (Ritsumeikan Univ) NLP2021-91 MICT2021-66 MBE2021-52 |
The open circuit voltage (OCV) of a lithium-ion battery is a necessary parameter for calculating the degradation state a... [more] |
NLP2021-91 MICT2021-66 MBE2021-52 pp.77-82 |
CQ, MIKA (Joint) |
2021-09-10 11:20 |
Online |
Online |
A UAV-empowered Routing Protocol for Federated Learning in Delay Tolerant Environments Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2021-55 |
While vehicular federated learning (FL) systems can be used for various purposes, including traffic monitoring and people... [more] |
CQ2021-55 pp.88-93 |
ET |
2021-03-06 10:30 |
Online |
Online |
Building a VR Group Learning System with Asynchronous VR Content Generation Function for Sharing Group Activities Daichi Higaki, Hiroki Fukuda, Yusuke Kometani (Kagawa Univ.), Teruhiko Unoki (Photron), Masanori Yatagai (Kyoritsu Women's Univ.), Naka Gotoda, Takayuki Kunieda, Rihito Yaegashi (Kagawa Univ.) ET2020-65 |
Seminars, which are developed as part of professional education at universities, are effective in developing generic ski... [more] |
ET2020-65 pp.77-82 |
WIT, ASJ-H |
2021-02-05 13:30 |
Online |
Online |
Development of Audiovisual Learning Materials of Musculoskeletal System Reiya Sato, Takeaki Shionome (Teikyo Univ.) WIT2020-23 |
In this paper, we develop a smartphone application for learning musculoskeletal knowledge, which is essential for passin... [more] |
WIT2020-23 pp.1-4 |
R |
2020-12-11 14:00 |
Online |
Online |
"Fugaku" Supercomputer Interconnect Failure Prediction Through Deep Learning Atsushi Miki (Fujitsu) R2020-30 |
Supercomputers have large-scale structures to achieve high performance. To complete the benchmark, each unit in the syst... [more] |
R2020-30 pp.1-6 |
KBSE |
2020-09-18 13:30 |
Online |
Online |
Exploitation Patterns and systematization of issues for Machine Learning Systems Satoshi Okuda (JAIST), Norihiko Ishitani (Weathernews), Toshiki Mori, Gaku Nemoto (JAIST), Kazuhiko Nishimura (VoiceResearch), Naoshi Uchihira (JAIST) KBSE2020-4 |
The rapid increase in the development of machine learning systems in companies today presents new challenges that have n... [more] |
KBSE2020-4 pp.19-24 |
NS |
2020-05-15 11:35 |
Online |
Online |
Progressive Slicing : Practical Application Classification System for Application Slicing Takamitsu Iwai, Akihiro Nakao (UTokyo) NS2020-17 |
With the proliferation of encrypted traffic and the increasing importance of application-specific QoE management, the ne... [more] |
NS2020-17 pp.57-62 |