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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SR, SRW (Joint) |
2021-03-05 16:55 |
Online | Online | Electromagnetic Noise Classification and Novelty Detection for Frequency Sharing among Various Communications in the Manufacturing Field Michio Miyamoto, Ayano Ohnishi, Yoshio Takeuchi (ATR), Toshiyuki Maeyama (ATR/Takushoku Univ.), Akio Hasegawa, Hiroyuki Yokoyama (ATR)  SR2020-89 |
Machine learning is applied to classify the electromagnetic noise generated in the manufacturing field. The frequency an... [more] | SR2020-89 pp.99-103 |
| ICSS, IPSJ-SPT | 2021-03-01 10:00 |
Online | Online | Implementation and Evaluation of a Plagiarism Detection Method for Source Code on Programming Contest Ryusei Ishikawa (Ritsumeikan Univ.), Yuichi Hattori (Secure Cycle), Hiroyuki Inoue (Hiroshima City Univ.), Atsuo Inomata (Osaka Univ.) ICSS2020-36 |
Programming competitions are held all over the world to write programs accurately in a short time. However, because many... [more] | ICSS2020-36 pp.61-65 |
| CQ, CBE (Joint) |
2021-01-21 16:00 |
Online | Online | [Poster Presentation]
Performance Evaluation of Channel State Information Clustering for Wireless LAN-based Object Detection Systems Eiki Ando, Hiroki Senji, Osamu Muta (Kyushu Univ.), Tomoki Murakami, Shinya Otsuki (former NTT) CQ2020-77 |
Various object detection schemes utilizing channel state information (CSI) in WLAN systems have been investigated recent... [more] | CQ2020-77 pp.68-69 |
| RCS | 2020-06-24 - 2020-06-26 |
Online | Online | Forcible Search Scheme for Mixed Gibbs Sampling Massive MIMO Detection Kenji Yamazaki, Sanada Yukitoshi (Keio Univ.) RCS2020-55 |
In this paper, mixed Gibbs sampling multiple-input multiple-output (MIMO) detection with forcible search is proposed. In... [more] | RCS2020-55 pp.193-198 |
| ISEC | 2020-05-20 13:30 |
Online | Online | [Invited Talk]
Almost Optimal Cheating-Detectable (2,2,n) Ramp Secret Sharing Scheme (from CANDAR 2019) Tomoki Agematsu (NEC), Satoshi Obana (Hosei univ) ISEC2020-6 |
In this research, we consider a strong ramp secret sharing scheme (SSS for short) that can detect cheating. A cheating-d... [more] | ISEC2020-6 p.27 |
| NS, IN (Joint) |
2020-03-06 10:10 |
Okinawa | Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
Anomaly Detection in Smart Home Networks using Situation Estimation in-Home Activities Masahiro Tanaka, Masaaki Yamauchi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.), Kensuke Ueda, Yoshiaki Kato (mitsubishi) IN2019-115 |
In this paper, we propose a method to detect the anomalous operation of home IoT devices focusing on the condition. Our... [more] |
IN2019-115 pp.219-224 |
| NLP, NC (Joint) |
2020-01-25 15:25 |
Okinawa | Miyakojima Marine Terminal | A study on detection method for localized vibrations using energy distribution in a nonlinear coupled resonators Hikaru Furuta, Masayuki Kimura, Shinji Doi (Kyoto Univ.) NLP2019-108 |
Several moving intrinsic localized modes (ILMs) are created via modulational instability of the zone boundary mode in a ... [more] | NLP2019-108 pp.117-120 |
| IT, SIP, RCS | 2020-01-24 11:10 |
Hiroshima | Hiroshima City Youth Center | Fisher information and quantum gyro sensor
-- Ikehara's interpretation of quantum probability theory -- Osamu Hirota (Tamagawa Univ.) IT2019-69 SIP2019-82 RCS2019-299 |
In quantum information science, information theory researchers should lead physics researchers in order to execute Wiene... [more] | IT2019-69 SIP2019-82 RCS2019-299 pp.191-196 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-24 13:55 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | Edge detection algorithms using stochastic architectures for various images Naoto Shinozaki, Kimiyoshi Usami (SIT) VLD2019-87 CPSY2019-85 RECONF2019-77 |
Stochastic computing (SC) is an approximate calculation method with the existence probability of 1 in a bit string as a ... [more] | VLD2019-87 CPSY2019-85 RECONF2019-77 pp.199-204 |
| SR | 2019-12-06 11:15 |
Okinawa | Ishigaki City Hall (Ishigaki Island) | Energy Detection for M-QAM Signal Shun Ishihara, Kenta Umebayashi (TUAT), Janne Lehtomaki (UOO) SR2019-103 |
In this paper, we address energy detection for M-ary quadrature amplitude modulation (QAM) signal. Typically, statisti... [more] |
SR2019-103 pp.83-86 |
| AI | 2019-11-28 13:05 |
Fukuoka | A proposal of a method for analyzing causes of incorrect detection when detecting objects using Deep Learning Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) AI2019-30 |
In this paper, we propose a method for analyzing the causes of incorrect detection / poor accuracy when detecting object... [more] | AI2019-30 pp.1-6 |
|
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Performance evaluation of rendezvous channel method including misdetection by ε-greedy method using learning type occupancy measurement Yuki Nishio, Osamu Takyu (Shinshu Univ.), Hayato Soya (Neko 9 Lab.), Mai Ohta (Fukuoka Univ.), Takeo Fujii (UEC), Fumihito Sasamori, Shiro Handa (Shinshu Univ.) |
The author has so far had a problem that access channels differ between two wireless terminals (master and slave) that e... [more] | |
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Energy detection for M-QAM signal Shun Ishihara, Kenta Umebayashi (TUAT), Janne Lehtomaki (UOO) |
In this presentation, we address energy detection for M-ary quadrature amplitude modulation (QAM) signal. Typically, sta... [more] | |
| ICSS | 2019-11-13 14:20 |
Miyazaki | MRT Terrace(Miyazaki) | Issue on Adversarial Malware Sample Generation using Reinforcement Learning against Machine Learning Based Malware Detection System Seiya Takagi, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada (Nagoya Univ.) ICSS2019-62 |
In recent years, security researchers have applied machine learning techniques to malware detection researches to improv... [more] | ICSS2019-62 pp.13-18 |
| SR | 2019-11-04 11:00 |
Overseas | Rutgers University Inn & Conference Center, NJ, USA | [Poster Presentation]
Performance evaluation of rendezvous channel by e-greedy method with learning type occupancy under misdetection Yuki Nishio, Osamu Takyu (Shinshu Univ.), Hayato Soya (Neko 9 Lab), Mai Ohta (Fukuoka Univ.), Takeo Fujii (UEC), Fumihito Sasamori, Shiro Handa (Shinshu Univ.) SR2019-65 |
The author has so far had a problem that access channels differ between two wireless terminals (master and slave) that ... [more] |
SR2019-65 pp.3-4 |
| PRMU, IPSJ-CVIM | 2019-05-30 11:20 |
Tokyo | A Preliminary Study on Integrating Camera and LiDAR Pedestrian Detections Adaptive to Surrounding Environmental Conditions Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide (Nagoya Univ.), Kazuki Kato (DENSO CORPORATION), Hiroshi Murase (Nagoya Univ.) PRMU2019-6 |
Results of pedestrian detectors from in-vehicle sensors still have room for improvement in real environments. Therefore... [more] |
PRMU2019-6 pp.31-36 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-21 09:50 |
Fukuoka | Anomaly Detection for Various Operations of Machine Kazuki Kobayashi, Masatoshi Sekine, Satoshi Ikada (OKI) PRMU2018-56 IBISML2018-33 |
In this paper, we propose an anomaly level estimation method for various operation of machine. Our proposed method has t... [more] | PRMU2018-56 IBISML2018-33 pp.133-138 |
|
| 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 |
| PRMU, BioX | 2018-03-18 15:45 |
Tokyo | A Preliminary Study on Estimating the Difficulty of Pedestrian Detection Adaptive to Vehicle Surrounding Environments Measured by LiDAR Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide (Nagoya Univ.), Kazuki Kato (DENSO CORPORATION), Hiroshi Murase (Nagoya Univ.) BioX2017-48 PRMU2017-184 |
Results of pedestrian detectors from in-vehicle sensors still have room for improvement in real environments. Therefore... [more] |
BioX2017-48 PRMU2017-184 pp.73-78 |
|
| VLD, HWS (Joint) |
2018-03-01 09:00 |
Okinawa | Okinawa Seinen Kaikan | A Study of Lithography Hotspot Detection Method Based on Feature Vectors Considering Distances between Wires Gaku Kataoka, Masato Inagi, Shinobu Nagayama, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-105 |
In lithography, which is one of the LSI fabrication processes, a layout pattern with a high failure probability is calle... [more] | VLD2017-105 pp.97-102 |
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