IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 186  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
10:35
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
nvestigation of Appearance Inspection Method Considering the Number of Corresponding Local Patches
Katsuhisa Kitaguchi, Yohei Nishizaki, Mamoru Saito (ORIST)
(To be available after the conference date) [more]
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:20
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Classifying Cable Tendency with Semantic Segmentation by Utilizing Real and Simulated RGB Data
Pei-Chun Chien, Powei Liao, Eiji Fukuzawa, Jun Ohya (Waseda Univ.)
 [more]
ICTSSL, CAS 2023-01-27
14:10
Tokyo TBD
(Primary: On-site, Secondary: Online)
A study on the introduction of managerial workers in crime detection using crowdsourcing
Tomoya Nohara (Doshisha Univ.), Ryuya Itano, Takahiro Koita (Graduate School of Doshisha University) CAS2022-89 ICTSSL2022-53
In recent years, the number of surveillance cameras installed has been increasing due to the spread of IoT, but there is... [more] CAS2022-89 ICTSSL2022-53
pp.131-134
NS, ICM, CQ, NV
(Joint)
2022-11-24
14:15
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online
(Primary: On-site, Secondary: Online)
Research on Anomaly Detection through Analysis of Observed Traffic Using Self-Attention
Yuhang Zhou, Akihiro Nakao (UTokyo) NS2022-108
Nowadays, threat activities have become an integral part of our network lives. The sophistication and variety of differe... [more] NS2022-108
pp.47-52
NS, ICM, CQ, NV
(Joint)
2022-11-24
13:25
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online
(Primary: On-site, Secondary: Online)
Anomaly Detection on Web Pages Using HDBSCAN and Deep SVDD
Yusuke Noji, Tomotaka Kimura, Jun Cheng (Doshisha Univ.) CQ2022-51
In this paper, we propose an anomalous Web page detection method using Deep SVDD (Support Vector Data Description), whic... [more] CQ2022-51
pp.23-27
CAS, MSS, IPSJ-AL [detail] 2022-11-18
14:25
Kochi
(Primary: On-site, Secondary: Online)
How to decide threshold value in anomaly detection using Wireless Ad hoc Federated Learning and Autoencoder
Riku Nishihata, Hideya Ochial, Hiroshi Esaki (Univ. Tokyo) CAS2022-55 MSS2022-38
Machine learning requires a lot of data, but from the perspective of privacy and security, new learning methods without ... [more] CAS2022-55 MSS2022-38
pp.83-86
KBSE, SC 2022-11-05
11:10
Nagano  
(Primary: On-site, Secondary: Online)
Smoothing methods for reducing false positives in performance anomaly detection using machine learning
Taku Wakui, Mineyoshi Masuda (Hitachi) KBSE2022-41 SC2022-36
In the integrated infrastructure management market, ML-based anomaly detection is one of the key features. However, comp... [more] KBSE2022-41 SC2022-36
pp.60-65
RISING
(3rd)
2022-10-31
10:30
Kyoto Kyoto Terrsa (Day 1), and Online (Day 2, 3) [Poster Presentation] Study of Data Collection System for Anomaly Detection by Ultrasonic Components of Mechanical Equipment Operating Sounds
Rio Shigyo, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga (KIT)
Status checks of mechanical equipment are typically being conducted by workers (manpower) at the actual place. However, ... [more]
NS 2022-10-05
15:10
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
An Anomaly Detection System of IoT Traffic for Smart Home Environments
Naoto Watanabe, Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. Tech.), Ryo Yamamoto (UEC) NS2022-83
With the proliferation of Internet of things (IoT) devices, cyberattacks targeting these devices have also been increasi... [more] NS2022-83
pp.8-11
IA, CQ, MIKA
(Joint)
2022-09-16
15:45
Hokkaido Hokkaido Citizens Actives Center
(Primary: On-site, Secondary: Online)
Study of Data Collection System for Ultrasonic Waves Based Anomaly Detection of Mechanical Equipment
Rio Shigyo, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga (KIT) IA2022-32
Status checks of mechanical equipment are typically being conducted by workers (manpower). However, since the check timi... [more] IA2022-32
pp.97-102
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2022-09-13
13:40
Online Keio Univ. Yagami Campus (Hybrid)
(Primary: Online, Secondary: On-site)
Video Anomaly Detection Method using Deep Learning Models and Crowd Workers
Ryuya Itano, Tomoya Nohara, Takahiro Koita (Doshisha Univ.) LOIS2022-10 IE2022-32 EMM2022-38
In recent years, the number of surveillance cameras installed has been increasing due to the spread of IoT. However, thi... [more] LOIS2022-10 IE2022-32 EMM2022-38
pp.1-6
CQ 2022-07-22
11:20
Osaka Ritsumeikan Ibaraki Future Plaza Conference Hall
(Primary: On-site, Secondary: Online)
[Invited Talk] Spectral Graph Theory and Its Application
Yusuke Sakumoto (Kwansei Gakuin Univ.) CQ2022-25
The spectral graph theory provides an algebraical approach to investigating the characteristics of networks using the ei... [more] CQ2022-25
p.43
MI 2022-07-08
17:00
Hokkaido
(Primary: On-site, Secondary: Online)
[Short Paper] Weakly-Supervised Focal Liver Lesion Detection in CT Images
He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-40
Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoen... [more] MI2022-40
pp.30-33
SIS, IPSJ-AVM 2022-06-09
15:00
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
[Invited Talk] Advanced applications of machine learning techniques towards high-performance and cost-effective visual inspection AI
Terumasa Tokunaga (Kyutech) SIS2022-6
Visual inspection is an essential step for quality control in manufacturing. Recently, many researchers have shown great... [more] SIS2022-6
p.30
KBSE, SWIM 2022-05-20
15:00
Tokyo
(Primary: On-site, Secondary: Online)
Practical Application of Self-Adaptive Anomaly Detection Method Using XAI
Shimon Sumita, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya (Osaka Univ.) KBSE2022-3 SWIM2022-3
In this study, we examine the use of XAI to improve the performance of a self-adaptive anomaly detection method. As a sp... [more] KBSE2022-3 SWIM2022-3
pp.13-18
ICM, IPSJ-CSEC, IPSJ-IOT 2022-05-19
10:25
Nagano
(Primary: On-site, Secondary: Online)
BGP Hijacking Detection Using Deep Learning
Kenta Nakashima, Mitiko Harayama (Gifu City Univ) ICM2022-2
Failures of large autonomous systems (ASs) and network attacks can affect Border Gateway Protocol (BGP) messages, causin... [more] ICM2022-2
pp.6-11
EA 2022-05-13
14:10
Online Online Acoustic diagnosis and monitoring for high voltage switchgear
Takashi Endo, Purohit Harsh, Yohei Kawaguchi (Hitachi) EA2022-7
This paper proposes a method for estimating stroke speed from sounds made during the opening and closing of high-voltage... [more] EA2022-7
pp.30-34
MSS, NLP 2022-03-29
15:20
Online Online Process Division Learning Method for Input-Output Signals of Production Equipment
Daiki Nakahara, Masahiko Shibata, Tsuyoshi Kobayashi (Mitsubishi Electric) MSS2021-79 NLP2021-150
When a problem occurs at a production line, the cause should be found out immediately. The authors have proposed a predi... [more] MSS2021-79 NLP2021-150
pp.127-132
CCS 2022-03-27
15:40
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
Evaluation of Industrial Anomaly Detection using Diffusion Model
Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2021-48
Anomaly detection by generative models is achieved by comparing the reconstruction and the original image. However, exis... [more] CCS2021-48
pp.72-77
NS, IN
(Joint)
2022-03-10
10:40
Online Online Edge cloud cooperation system for anomaly detection using image data
Yuki Tanaka, Ryoichi Kawahara (Toyo Univ.) IN2021-32
In the field of IoT, which is becoming more widespread, it is expected that useful information extraction from image dat... [more] IN2021-32
pp.7-12
 Results 1 - 20 of 186  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan