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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
A study on loom operation analysis using acoustic signals for abnormality detection Shinji Sako (NITech)  EA2023-107 SIP2023-154 SP2023-89 |
In the textile industry, DXing of high-quality inspections at factories is essential from the perspective of improving p... [more] | EA2023-107 SIP2023-154 SP2023-89 pp.274-276 |
| IA, ICSS | 2022-06-24 11:25 |
Nagasaki | Univ. of Nagasaki (Primary: On-site, Secondary: Online) |
An Experimental Study on Name Resolution History Basis Abnormal Detection and Blocking Using SDN and DNS RPZ Hikaru Ichise, Yong Jin (Tokyo Tech), Katsuyoshi Iida (Hokkaido Univ) IA2022-13 ICSS2022-13 |
Most of the network applications communicate to the servers with the destination IP addresses obtained by prior the na... [more] |
IA2022-13 ICSS2022-13 pp.71-75 |
| CCS, NLP | 2022-06-09 13:00 |
Osaka | (Primary: On-site, Secondary: Online) |
Conditional entropy based DDoS Attack detection in Software Defined Network Tian QiWen, miyata sumiko (SIT) NLP2022-1 CCS2022-1 |
In order to detect each network attack in an SDN environment, an attack detection method has been proposed based on the ... [more] | NLP2022-1 CCS2022-1 pp.1-6 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Effective Features for Detecting Abnormal Braking from Electroencephalogram and Electrocardiogram during Automatic Driving Erika Sekiguchi, Toshihisa Tanaka (TUAT), Ken Kubota (JATCO Engineering), Shun Nakamura (CorLab), Kenichi Makita (JATCO) EA2021-94 SIP2021-121 SP2021-79 |
Although automated driving technology is advancing rapidly, the main objective of the development is to ensure safety. H... [more] | EA2021-94 SIP2021-121 SP2021-79 pp.189-194 |
| ITS, IEE-ITS | 2021-03-15 14:05 |
Online | Online | Identification of Distracted Driving Focusing on Correction Steering for Lateral Sway of the Vehicles Daiki Sakakibara, Haruki Kawanaka, Hiroyuki Oishi, Koji Oguri (Aichi Pref Univ.) ITS2020-41 |
In recent years, accidents caused by people using their phones while driving are becoming a social problem. However, the... [more] | ITS2020-41 pp.29-34 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Comparison of Neural Network Models for Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2019-156 SIP2019-158 SP2019-105 |
Epilepsy is a chronic brain disease, and the detection of abnormal waveforms by scalp electroencephalography (EEG) is an... [more] | EA2019-156 SIP2019-158 SP2019-105 pp.319-323 |
| EA, ASJ-H | 2018-08-23 15:10 |
Miyagi | Tohoku Gakuin Univ. | Investigation of abnormal sound detectionusing occurrence probability of regularsound based on Gaussian Mixture Model Koji Abe, Moeko Hara, Shouichi Takane, Masayuki Nishiguchi, Kanji Watanabe (Akita Pref. Univ.) EA2018-34 |
In most abnormal sound detection systems, abnormal sounds are defined in advance and abnormal sounds are detected by mat... [more] | EA2018-34 pp.37-44 |
| AI | 2018-07-02 15:25 |
Hokkaido | Detection of Abnormal Behavior Based on Driver Area of In-Car Movie by Deep Learning Ryo Kidoguchi, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokkaido Univ.) AI2018-10 |
Recently, due to frequent occurrence of accidents caused by abnormal behaviors of bus and truck drivers, efforts are bei... [more] | AI2018-10 pp.53-59 |
|
| SIS, IPSJ-AVM | 2017-10-12 15:20 |
Nara | Todaiji Culture Center | An autoencoder reversing abnormal inputs Akihiro Suzuki, Hakaru Tamukoh (Kyushu Inst. of Tech.) SIS2017-26 |
Usages of autoencoders (AEs) are not only a dimension reducer, but a generative model using reconstruction. AEs are used... [more] | SIS2017-26 pp.29-34 |
| MBE, NC (Joint) |
2017-03-13 11:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | The Application of the Acoustic Psychology on the Abnormal Sound Detection Shota Nasu, Susumu Kuroyanagi (NIT) NC2016-67 |
The abnormal sound detection is a usable method for early warning system for a solitary elder person,and so on. Koike et... [more] | NC2016-67 pp.19-24 |
| RCS, IT, SIP | 2016-01-18 11:50 |
Osaka | Kwansei Gakuin Univ. Osaka Umeda Campus | Abnormal Respiratory Sound Detection for Auscultatory Sound Using Wavelet Transform Yuka Yokota, Keita Uchida, Masahiro Fukumoto (Kochi Univ. of Tech.) IT2015-62 SIP2015-76 RCS2015-294 |
An electronic stethoscope with the recording function of the auscultatory sound has been used in the field of the home-v... [more] | IT2015-62 SIP2015-76 RCS2015-294 pp.85-89 |
| MI | 2015-03-03 13:40 |
Okinawa | Hotel Miyahira | A Study on Lesion Detection from Breast Ultrasound Images Based on Difference of Texture Change between Adjacent Regions Yudai Yamazaki (Univ. of Tsukuba), Masaya Iwata, Hirokazu Nosato, Eiichi Takahashi, Hidenori Sakanashi (AIST) MI2014-111 |
In this paper, we propose a novel lesion detection method for breast ultrasound images. In breast ultrasound images, t... [more] |
MI2014-111 pp.283-288 |
| LOIS, ICM | 2014-01-17 14:50 |
Nagasaki | Nagasaki Museum of History and Culture | A watching system for aged people using acoustic informations Hiroyuki Nishi, Kin Kin, Yoshimasa Kimura, Toshio Kakinoki (Sojo Univ.) ICM2013-49 LOIS2013-53 |
It is expected that the percentage of elderly people aged 65 or more to the total population ( aging rate ) will be exce... [more] | ICM2013-49 LOIS2013-53 pp.81-84 |
| IE, SIP, ICD, VLD, IPSJ-SLDM [detail] | 2012-10-18 13:30 |
Iwate | Hotel Ruiz | Human Behavior Detection Using Direction Change Invariant Features of Cubic Higher Order Local Auto Correlation Takeyuki Ishii, Hitomi Murakami, Atsushi Koike (Seikei Univ.) VLD2012-40 SIP2012-62 ICD2012-57 IE2012-64 |
In this paper, we propose a new method of feature homogenization to prevent changes in the features according to human s... [more] | VLD2012-40 SIP2012-62 ICD2012-57 IE2012-64 pp.1-6 |
| IE | 2012-04-27 14:05 |
Tokyo | Seikei University | Scale Invariants Abnormal Motion Detection of Human Behavior Takeyuki Ishii, Hitomi Murakami, Atsushi Koike (Seikei Univ.) IE2012-10 |
This paper proposes a scale invariant identification scheme of human behavior,so that distinguishing abnormal behavior t... [more] | IE2012-10 pp.51-56 |
| PRMU, SP | 2012-02-09 13:30 |
Miyagi | Detection of Abnormal Situations Based on Comprehensive Behavioral Patterns Eri Kuzumoto, Tatsuya Gibo, Shigeki Aoki, Takao Miyamoto, Motoi Iwata, Akira Shiozaki (Osaka Prefecture Univ.) PRMU2011-195 SP2011-110 |
Recently, automatic surveillance systems have become active area of research. There are two typical methods of research ... [more] | PRMU2011-195 SP2011-110 pp.53-58 |
|
| NS, RCS (Joint) |
2011-12-16 15:05 |
Yamaguchi | Yamaguchi University | Wormhole Attack Detection Method Using Abnormal Signal Strength Notification with Hop Count for Sensor Networks Yuki Ishizaka, Shigetomo Kimura, Yoshihiko Ebihara (Univ of Tsukuba) NS2011-143 |
The authors have proposed the wormhole attack detection method using the abnormal signal strength notification for senso... [more] | NS2011-143 pp.143-148 |
| PRMU | 2011-03-10 15:30 |
Ibaraki | Abnormal Motion Detection Using Temporal and Spatial Infomation Hisashi Mikado, Kazunori Onoguchi (Hirosaki Univ.) PRMU2010-257 |
This paper presents a method to detect abnormal motion by using spatio-temporal features. At first, silhouette images ob... [more] | PRMU2010-257 pp.117-122 |
|
| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-21 09:25 |
Shiga | Fault Detection and Prediction of Industrial Plants Based on Gaussian Processes Shinsaku Ozaki, Toshikazu Wada (Wakayama Univ.), Shunji Maeda, Hisae Shibuya (Hitachi) PRMU2010-175 MVE2010-100 |
This report proposes a fault and pre-fault detection method for industrial plants based on Gaussian process. Industrial ... [more] | PRMU2010-175 MVE2010-100 pp.211-216 |
|
| PRMU, SP, WIT | 2010-10-08 10:00 |
Chiba | An abnormal sound detection method using multi-stage GMM for surveillance microphone Akinori Ito, Akihito Aiba (Tohoku Univ.), Masashi Ito (Tohoku Inst. Tech.), Shozo Makino (TBGU) PRMU2010-88 SP2010-44 WIT2010-32 |
We have been developing a method for detecting abnormal sound events from audio signal recorded in real environments, wh... [more] | PRMU2010-88 SP2010-44 WIT2010-32 pp.1-6 |
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