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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2023-06-15 14:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Change-point Detection of Fault Counting Data Based on Anomaly Detection Methodology for Software Reliability Assessment Shin Danjo, Yuka Minamino, Masashi Kuwano (Tottori Univ), Taku Moriyama (Yokohama City Univ), Shinji Inoue (Kansai Univ)  R2023-7 |
[more] | R2023-7 pp.1-6 |
| SRW, SeMI, CNR (Joint) |
2022-11-25 15:05 |
Tochigi | Epinard Nasu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Prototype of IoT-based River Flood Monitoring and Evaluation
-- MQTT Brokers Connected in Tandem -- Yoshiyuki Shinji, Kohei Shiomoto (TCU) SRW2022-33 SeMI2022-68 CNR2022-26 |
The developing countries in Southeast Asia are constantly exposed to the risk of river floods during typhoons and cyclon... [more] | SRW2022-33 SeMI2022-68 CNR2022-26 pp.54-57(SRW), pp.70-73(SeMI), pp.39-42(CNR) |
| PRMU | 2021-12-16 10:45 |
Online | Online | Selective Inference for Multi-dimensional Multiple Change-Points Ryota Sugiyama, Hiroki Toda (NIT), Vo Nguyen Le Duy (NIT/RIKEN), Yu Inatsu (NIT), Ichiro Takeuchi (NIT/RIKEN) PRMU2021-28 |
Detecting changes in the average structure of multi-dimensional sequence is an important task in various fields. Since c... [more] | PRMU2021-28 pp.25-30 |
| IBISML | 2021-03-03 15:15 |
Online | Online | Selective Inference for Change-point Detection in Multi-dimensional Series Data Ryota Sugiyama, Hiroki Toda, Vo Nguyen Le Duy, Yu Inatsu (NIT), Ichiro Takeuchi (NIT/RIKEN) IBISML2020-51 |
Detecting changes of the average structures in a multi-dimensional sequence is an important task in various fields. In t... [more] | IBISML2020-51 pp.63-70 |
| R | 2019-10-25 14:00 |
Nagasaki | Fukue Culture Center | Multiple Change-Point Modeling for Software Reliability Assessment Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.) R2019-38 |
We discuss Markovian imperfect debugging modeling for software reliability assessment with multiple changes of testing e... [more] | R2019-38 pp.1-6 |
| CQ | 2018-05-31 14:00 |
Chiba | Chiba Univ. Nishi-Chiba Campus, academic link center | A Dynamic Base Station Switching Scheme Using Change-Point Detection in Heterogeneous Networks Eigo Matsuyama, Takahiro Matsuda, Tetsuya Takine (Osaka Univ.) CQ2018-18 |
Heterogeneous Networks are radio access networks that base stations with smaller communication range (small base station... [more] | CQ2018-18 pp.1-6 |
| MSS, NLP (Joint) |
2018-03-13 14:15 |
Osaka | Detecting changing points in multivariate nonlinear time series Rei Kotera, Tomomichi Nakamura (Univ. of Hyogo) NLP2017-108 |
There are many natural phenomena that show irregular fluctuations. We expect that the data are generated by a system.... [more] |
NLP2017-108 pp.37-42 |
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| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-06 15:05 |
Fukuoka | Kyusyu Univ. Ohashi Campus | A Study on Change-Point Prediction in Mobile Networks Shinya Wada, Yujin Tang (KDDI Research), Takahiro Matsuda (Osaka Univ.), Haruki Izumikawa, Chihiro Ono (KDDI Research), Tetsuya Takine (Osaka Univ.) CQ2016-118 |
Traffic volumes in mobile networks could be fluctuated spatiotemporally due to the change of communicational place and s... [more] | CQ2016-118 pp.43-47 |
| CQ | 2017-01-20 16:25 |
Osaka | Osaka University Nakanoshima Center | A Study on Spatio-Temporal Variability of Mobile Access Traffic and Subspace Tracking-Based Change-Point Detection Takahiro Matsuda, Senri Hirabaru (Osaka Univ.), Yuki Hirota (KDDI), Haruki Izumikawa, Hiroshi Hanano, Chihiro Ono (KDDI Research), Tetsuya Takine (Osaka Univ.) CQ2016-110 |
In mobile networks, network monitoring for access traffic is important for efficiently utilizing network resources. In t... [more] | CQ2016-110 pp.115-120 |
| R | 2016-07-29 13:30 |
Hokkaido | Otaru Chamber of Commerce and Industry | On Optimal Software Release Problems Based on a Hazard Rate Model with Effect of Change-Point Shinji Inoue, Shigeru Yamada (Tottori Univ.) R2016-13 |
We often observed the case that the hazard rate of software failure-occurrence time intervals notably change in actual t... [more] | R2016-13 pp.1-6 |
| AI | 2015-12-04 15:15 |
Fukuoka | Kyutech-Salite | Method for Detecting Explicit Structural Changes in Time Series Data Akira Kasuga, Yukio Ohsawa (UTokyo), Takaaki Yoshino, Shunichi Ashida (Daiwa Securities) AI2015-21 |
In recent years, Anomaly Detection is noticed in order to prevent a risk, perform security system and analyze behaviors.... [more] | AI2015-21 pp.51-55 |
| R | 2014-05-23 16:20 |
Aichi | On Change-Point Modeling for Software Reliability Assessment with the Truncated Distribution of Initial Fault Content Shinji Inoue, Shigeru Yamada (Tottori Univ.) R2014-7 |
We discuss change-point modeling for software reliability assessment with the change of testing-environment. Especially,... [more] | R2014-7 pp.35-40 |
|
| R | 2013-05-17 13:35 |
Hiroshima | On Change-Point Detection in Software Reliability Models and Its Application to Reliability Assessment Shinji Inoue, Shiho Hayashida, Shigeru Yamada (Tottori Univ.) R2013-7 |
A software hazard rate model is known as one of the important and useful mathematical models for describing a software f... [more] | R2013-7 pp.37-42 |
|
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Song Liu, Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-70 |
The objective of change-point detection is to discover abrupt property changes lying behind time series data. In this pa... [more] | IBISML2011-70 pp.187-198 |
| R | 2011-10-21 15:05 |
Fukuoka | On Software Reliability Assessment with Multiple Change-Point Occurrence Shinji Inoue, Shigeru Yamada (Tottori Univ.) R2011-30 |
Software reliability growth models can be developed under the basic assumption that the stochastic or statistical charac... [more] | R2011-30 pp.17-22 |
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| IBISML | 2011-03-29 11:40 |
Osaka | Nakanoshima Center, Osaka Univ. | Topic Emergence Detection in Social Networks Using Probabilistic Models of Links Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo) IBISML2010-128 |
Detection of emerging topics from social network streams is becoming increasingly important these days. Conventional app... [more] | IBISML2010-128 pp.169-176 |
| NLP | 2009-11-11 11:30 |
Kagoshima | Change-Point Detection Based on Recurrence Plots Koji Iwayama, Yoshito Hirata, Kazuyuki Aihara, Hideyuki Suzuki (Univ. of Tokyo.) NLP2009-87 |
Recently a lot of nonlinear time series analysis methods have been proposed. However, we cannot apply most of those meth... [more] | NLP2009-87 pp.31-34 |
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| R | 2007-05-18 16:00 |
Hiroshima | Hiroshima University | On Software Reliability Assessment with Change-Point Shinji Inoue, Shigeru Yamada (Tottori Univ.) R2007-12 |
Almost all of software reliability growth models proposed so far have been developed under the assumption that the stoch... [more] | R2007-12 pp.25-30 |
| IN, MoNA (Joint) |
2006-11-16 12:50 |
Kumamoto | Performance Evaluation of a Multi-Stage Network Anomaly Detection Scheme for Decreasing the False-Positive Rate against a Large Number of Simultaneous, Unknown Events Tutomu Murase (NEC), Yukinobu Fukushima (Okayama Univ.), Masayoshi Kobayashi (NEC), Hiroki Fujiwara, Tokumi Yokohira (Okayama Univ.) IN2006-93 |
Change-point detection schemes are a promising approach for detecting network anomalies such as attacks and infections b... [more] | IN2006-93 pp.25-30 |
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