Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NS, IN (Joint) |
2024-02-29 11:10 |
Okinawa |
Okinawa Convention Center |
An unsupervised online learning-based traffic classification and anomaly detection method for 5G-IIoT systems Yuxuan Shi, Qianqian Pan, Akihiro Nakao (U Tokyo) NS2023-188 |
In the context of Society 5.0, the evolution of the Internet of Things (IoT) and its ever growing demands of massive Mac... [more] |
NS2023-188 pp.96-102 |
WIT, HI-SIGACI |
2023-12-07 11:15 |
Tokyo |
AIST Tokyo Waterfront (TBD) |
On Modeling Daily Activities of the Elderly Living Alone Using Markov Series of Dirichlet Multinomial Mixture Models Ken Sadohara (AIST) WIT2023-30 |
To develop smart home technology designed to analyze the activity of residents based on the logs of installed sensors, a... [more] |
WIT2023-30 pp.31-36 |
SWIM |
2022-11-26 15:40 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Sample Program Recommendation System to Support Programming Education Yoshihisa Udagawa (Tokyo Univ. of Information Sciences) SWIM2022-24 |
One effective way to learn programming techniques is to reuse sample programs. As the number of sample programs increase... [more] |
SWIM2022-24 pp.20-26 |
SAT, RCS (Joint) |
2022-08-26 11:40 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Inter-cell Interference Control by Joint Transmit Power and Transmit Beamforming Control based on Machine Learning Naoto Tamada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) RCS2022-118 |
In mobile communications, densely deployed small cell systems using the same frequency band are expected to increase the... [more] |
RCS2022-118 pp.120-125 |
MW |
2022-03-04 11:10 |
Online |
Online |
Deep-Learning Based Anomaly Detection Method for Microwave Non-destructive Road Monitoring Takahide Morooka, Shouhei Kidera (Univ. of Electro-Communications) MW2021-134 |
Microwave radar is promising as large-scale and speedy non-destructive monitoring tool for aging road or tunnel because ... [more] |
MW2021-134 pp.128-133 |
QIT (2nd) |
2021-11-30 13:30 |
Online |
Online |
[Poster Presentation]
Machine Learning techniques for unitary design classification:A comparative study Yaswitha Gujju, Bo Yang, Dr. Yuko Kuroki, Dr. Hiroshi Imai (UTokyo) |
The recent use of correlator functions to identify the degree of pseudorandomness in a qubit system opens up immense pos... [more] |
|
CS |
2021-07-16 09:40 |
Online |
Online |
Joint Transmit Power and Beamforming Control based on Unsupervised Machine Learning for MIMO Wireless Communication Networks Naoto Tamada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) CS2021-29 |
In mobile communications, densely deployed cell systems are expected to improve the system capacity drastically. However... [more] |
CS2021-29 pp.63-68 |
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] |
2021-03-26 10:40 |
Online |
Online |
Unsupervised Recycled FPGA Detection Using Direct Density Ratio Estimation Based on Self-referencing Yuya Isaka (KGU), Michihiro Shintani (NAIST), Foisal Ahmed (PU), Michiko Inoue (NAIST) CPSY2020-60 DC2020-90 |
It is well known that the performance of field-programmable gate-array (FPGA) degrades over time due to their usage. Sev... [more] |
CPSY2020-60 DC2020-90 pp.61-66 |
KBSE |
2021-01-23 15:00 |
Online |
Online |
Consideration of evaluation datasets for DNS tunnel detection research Tetsuya Asakura, Takeo Tatsumi (OUJ) KBSE2020-32 |
In this research, we considered of evaluation datasets for dns tunnel detection research.
In this field, there are not ... [more] |
KBSE2020-32 pp.19-24 |
VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2020-11-17 14:25 |
Online |
Online |
Energy-Efficient ECG Signals Outlier Detection Hardware Using a Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, HIroki Nakahara (Tokyo Tech) VLD2020-17 ICD2020-37 DC2020-37 RECONF2020-36 |
Advancements in portable electrocardiographs have allowed electrocardiogram (ECG) signals to be recorded in everyday lif... [more] |
VLD2020-17 ICD2020-37 DC2020-37 RECONF2020-36 pp.36-41 |
ISEC, IT, WBS |
2020-03-10 13:25 |
Hyogo |
University of Hyogo (Cancelled but technical report was issued) |
Research on DNS tunnel detection by machine learning using appearance characters
-- Consideration of implementation of evaluation program -- Tetsuya Asakura, Takeo Tatsumi (OUJ) IT2019-103 ISEC2019-99 WBS2019-52 |
In this study, we considered an implementation a detection technique of DNS tunnel.
This detection techniqe is likely t... [more] |
IT2019-103 ISEC2019-99 WBS2019-52 pp.87-94 |
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 |
ISEC, SITE, LOIS |
2019-11-02 15:25 |
Osaka |
Osaka Univ. |
Research on DNS tunnel detection by machine learning using appearance characters Tetsuya Asakura, Takeo Tatsumi (OUJ) ISEC2019-84 SITE2019-78 LOIS2019-43 |
In this study, as a detection technique of DNS tunnel, it was tried to detect abnormal DNS query string by machine learn... [more] |
ISEC2019-84 SITE2019-78 LOIS2019-43 pp.141-148 |
HWS, VLD |
2019-02-28 13:55 |
Okinawa |
Okinawa Ken Seinen Kaikan |
Model Compression for ECG Signals Outlier Detection Hardware trained by Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, Hiroki Nakahara (Titech) VLD2018-114 HWS2018-77 |
In recent years, portable electrocardiographs and wearable devices have begun to spread so that electrocar- diogram (ECG... [more] |
VLD2018-114 HWS2018-77 pp.127-132 |
SR, RCS (Joint) (2nd) |
2018-10-31 10:25 |
Overseas |
Mandarin Hotel, Bangkok, Thailand |
[Poster Presentation]
A Comparison of Machine Learning Algorithms for Motor Sound Fault Detection Arpith Paida (AIT), Prerapong, Aimaschana Niruntasukrat, Koonlachat Meesublak, Panita (NECTEC) |
Automation plays important role in order to make human activities easier. In industries, machines /motors are used for m... [more] |
|
SP |
2018-08-27 14:20 |
Kyoto |
Kyoto Univ. |
[Invited Talk]
Product models and semi-supervised word segmentation Daichi Mochihashi (ISM) SP2018-28 |
While deep learning methods have achieved revolutionary success in
speech and audio research, the impact is less signif... [more] |
SP2018-28 p.29 |
ICSS, IA |
2018-06-26 09:25 |
Ehime |
Ehime University |
A consideration on the possibility of automatic classifying for anomalous posts on Twitter Ryutaro Ushigome (NICT/Chuo Univ), Takeshi Matsuda (Univ of Nagasaki), Michio Sonoda, Takeshi Takahashi, Mio Suzuki (NICT), Jinhui Chao (Chuo Univ) IA2018-9 ICSS2018-9 |
A lot of information has been posted on the SNS, including not only erroneous information and inappropriate writing, but... [more] |
IA2018-9 ICSS2018-9 pp.55-60 |
PRMU, CNR |
2018-02-19 09:30 |
Wakayama |
|
A top-down approach in dot-matrix character extraction Takuya Mizoguchi (NAIST), Yoshihisa Ijiri, Masaki Suwa (OMRON), Kiyoshi Kiyokawa (NAIST) PRMU2017-145 CNR2017-23 |
A dot-matrix character is a character formed by a dot matrix and used in such factory automation application as product ... [more] |
PRMU2017-145 CNR2017-23 pp.1-6 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Principal Component Analysis based unsupervised Feature Extraction applied to Bioinformatics Y-h. Taguchi (Chuo Univ.) IBISML2016-47 |
Recently, numerous researches were performed for the machine/statisitical learning. Among those, deep learning is especi... [more] |
IBISML2016-47 pp.17-24 |
IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
Anomaly Deteciton with K-Means
-- Comparison with Supervised Methods -- Hisashi Takahara (UNP) IBISML2016-75 |
Today, almost all computers have access to the Internet. Computers connected to the Internet are susceptible to various ... [more] |
IBISML2016-75 pp.207-214 |