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Committee Date Time Place Paper Title / Authors Abstract Paper #
Kyoto Kyoto Terrsa (Day 1), and Online (Day 2, 3) [Poster Presentation] Network Anomaly Detection Method Based on Communication Volume Changes in Edge Switches
Yuya Nakanishi, Shingo Ata (Osaka City Univ.)
Early detection of failures and anomalies that occur in the network and prompt recovery processing are essential for sta... [more]
PRMU 2022-10-21
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Subspace based Anomaly Detection
Takumi Kanai, Naoya Sogi (Univ. Tsukuba), Atsuto Maki (KTH), Kazuhiro Fukui (Univ. Tsukuba) PRMU2022-25
In this paper, we propose a change point detection method in time series data by incorporating the concept of difference... [more] PRMU2022-25
SIP 2022-08-25
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Multiresolution Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to Riverbed State Estimation
Eisuke Kobayashi, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ.) SIP2022-54
In this report, we propose a method that incorporates multi-resolution representation into Convolutional-Sparse-Coded Dy... [more] SIP2022-54
KBSE, SWIM 2022-05-20
(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
Online Online A synchronized measurement system for WBAN channel modeling by human motion parameters
Akira Saito, Takahiro Aoyagi (Tokyo Tech) MICT2021-111
The development of WBAN channel models requires a lot of experiments and simulations. In order to reduce the number of e... [more] MICT2021-111
RCS, SIP, IT 2022-01-20
Online Online Received Power Prediction of 60 GHz Millimeter-Wave Propagation in Indoor Environment from Time-Series Images Using Neural Networks
Khanh Nam Nguyen, Kenichi Takizawa (NICT) IT2021-55 SIP2021-63 RCS2021-223
A millimeter-wave (mmWave) indoor propagation environment with obstacles in 60 GHz frequency band is set up where receiv... [more] IT2021-55 SIP2021-63 RCS2021-223
IN 2022-01-18
Online Online Evaluation on Prediction Method for Missing Probability of Sensor Value based on Hierarchical Structure of Missing Value
Norifumi Hirata, Osamu Maeshima, Kiyohito Yoshihara (KDDI Research) IN2021-25
Collecting sensor data via networks is important for IoT (Internet of Things) services.However, sensors sometimes have m... [more] IN2021-25
PRMU 2021-12-16
Online Online [Short Paper] Evaluation of Time Series Causal Discovery Method Using Plant Simulator
Kazuki Koyama, Daigo Fujiwara, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani (NTT Communications), Keisuke Asahara, Shohei Shimizu (Shiga Univ.) PRMU2021-34
In order to improve operation, the use of process data consisting of time-series data from sensors and other sources is ... [more] PRMU2021-34
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
[Short Paper] Collecting and Analyzing Campus Wireless LAN Quality Information Using Time-Series Database
Atsuto Nakano, Tohru Kondo, Reiji Aibara (HU) IA2021-32
Wireless LAN in campus network is an essential communications infrastructure that supports education and research activi... [more] IA2021-32
Fukuoka JR Hakata Stn. Hakata EkiHigashi Rental Room
(Primary: On-site, Secondary: Online)
Proposal of change detection technology using cluster transition tensor
Shoko Takahashi, Kei Takeshita (NTT) CQ2021-75
As in all service fields, the AI-based operation automation is progressing in the communication field as well.
Once the... [more]
NLP, CCS 2021-06-11
Online Online A Study on Prediction of Synchrophasor Time-Series Data of In-Campus Distribution Voltage Using Gaussian Process Regression
Munetaka Noguchi (Osaka Pref Univ.), Yoshihiko Susuki (Osaka Pref Univ./JST), Atsushi Ishigame (Osaka Pref Univ.) NLP2021-3 CCS2021-3
Due to recent penetration of distributed energy resources, dynamics of power distribution systems have been complicated ... [more] NLP2021-3 CCS2021-3
IBISML 2021-03-03
Online Online IBISML2020-46 Developing a profitable trading strategy is a central problem in the financial industry. In this presentation, we develo... [more] IBISML2020-46
- 2020-12-17
Online Online Development and evaluation of time series labeling tool based on work occurrence prediction for restaurant service
Karimu Kato, Takahiro Miura, Ryosuke Ichikari, Takashi Okuma, Takeshi Kurata (AIST)
The cost to create training data for supervised learning has been a problem. Particularly, it takes a long time to label... [more]
LOIS 2020-03-12
Okinawa Nobumoto Ohama Memorial Hall
(Cancelled but technical report was issued)
Distributed active learning achieving both of monitoring and efficient time-series data sampling for edge computing
Osamu Saisho, Keiichiro Kashiwagi, Yui Saito, Tomoyuki Fujino (NTT) LOIS2019-73
For edge computing, there is still a great demand to upload only meaningful data to cloud,. However there is no practica... [more] LOIS2019-73
DE, IPSJ-DBS 2019-12-24
Tokyo National Institute of Informatics
Yuichiro Sakazaki, Rin Adachi, Jun Rokui (univ. of Shizuoka) DE2019-32
We proposed a model that integrates several types of data by multiple regression analysis and performs future prediction... [more] DE2019-32
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Temporal Segmentation of Continuous Facial Expressions Based on Time-series 3D Data Measured for Sparse Facial Feature Points
Kentaro Yasuda, Shinjiro Iemitsu, Shigeru Akamatsu (Hosei Univ.)
Temporal segmentation of a time-series sequence of facial expressions into utterance units remains a critically unsolved... [more]
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
Okinawa Okinawa Institute of Science and Technology Imputation of Missing Time-Series Multimodal Data with Variational Autoencoder
Ryoichi Kojima, Shinya Wada, Kiyohito Yoshihara (KDDI Research) IBISML2019-8
Data is often missing and that results in negative effects on subsequent data analysis and creating machine learning mod... [more] IBISML2019-8
ET 2018-05-19
Kanagawa National Institute of Special Needs Education Sharing the results of a Moodle course material clickstream analysis and examining its effect on students
Konomu Dobashi (Aichi Univ.) ET2018-5
A face-to-face blended-type lesson was previously carried out using Moodle in PC classes attended by a large number of s... [more] ET2018-5
IBISML 2018-03-06
Fukuoka Nishijin Plaza, Kyushu University Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex
Masayuki Karasuyama (Nagoya Inst. of Tech./NIMS/JST), Ichiro Takeuchi (Nagoya Inst. of Tech./NIMS/RIKEN) IBISML2017-101
We study classification problem on the sequences of continuous observations. In particular, we are interested in identif... [more] IBISML2017-101
ET 2018-03-03
Kochi Kochi University of Technology (Eikokuji Campus) Modeling the temporal change of student proficiency using records in e-learning
Midori Kodama, Takahiro Hata, Ippei Shake (NTT) ET2017-132
Estimating student’s proficiency from the records of learning system is the key technology to provide adaptive learning ... [more] ET2017-132
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