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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 24  /  [Next]  
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
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