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All Technical Committee Conferences (Searched in: All Years)
| 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 |
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