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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, RCS (Joint) |
2023-12-15 09:50 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Analysis of Features Contributing to Early Detection of Failures in 5G Core Networks Using Machine Learning Takeru Hakii (UTokyo), Takuya Miyasaka, Junichi Kawasaki, Daiki Koyama (KDDI Research, Inc.), Norihiro Fukumoto, Akirhiro Nakao (UTokyo)  NS2023-141 |
CNF-based 5GC, a cloud-native implementation of network functions (NFs), is increasingly using machine learning for earl... [more] | NS2023-141 pp.90-96 |
| NS, RCS (Joint) |
2023-12-15 17:10 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
A Study of Q-drop Identification by Analyzing Receiver-Side Quality Data for Optical Transmission Systems Kohei Watanabe, Hiroshi Yamamoto, Hiroki Date, Daisaku Shimazaki (NTT), Yutaka Fukuchi, Hideki Maeda (TUS) NS2023-153 |
High reliability is required for optical transmission systems, which are widely deployed as the network infrastructure f... [more] | NS2023-153 pp.157-162 |
| IN, NS (Joint) |
2023-03-02 14:40 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Feature Selection Method for Predicting Network Failures on CNF 5GC Using Machine Learning with Low Layer Log Data Takeru Hakii, Norihiro Fukumoto, Akihiro Nakao (UTokyo) NS2022-192 |
In complex networks, once a failure occurs, it takes a long time to identify and recover from the cause of the failure, ... [more] | NS2022-192 pp.145-150 |
| PN, NS, OCS (Joint) |
2021-06-25 14:25 |
Online | Online | Fault-Tolerant Multi-Path Routing Method under High Network Failure Environment Taichi Okumura, Masaki Murakami, Yoshihiko Uematsu, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2021-10 |
Networks consisting of many devices require fault-tolerant methods to prepare for device failures. On the other hand, re... [more] | PN2021-10 pp.33-39 |
| EMD, R | 2021-02-12 15:00 |
Online | Online | [Invited Talk]
Reliability physics issues for electronic devices
-- Failure mechanisms that still need to be physically clarified -- Yasushi Kadota (RICOH Co.,Ltd.) R2020-37 EMD2020-28 |
Many kind of electronic devices, including semiconductor devices, have been using in various fields and applications in ... [more] | R2020-37 EMD2020-28 pp.19-24 |
| R | 2020-12-11 14:00 |
Online | Online | "Fugaku" Supercomputer Interconnect Failure Prediction Through Deep Learning Atsushi Miki (Fujitsu) R2020-30 |
Supercomputers have large-scale structures to achieve high performance. To complete the benchmark, each unit in the syst... [more] | R2020-30 pp.1-6 |
| CS, OCS (Joint) |
2020-01-17 11:15 |
Oita | Beppu Housensou Hotel (Oita Pref.) | Demonstration of a Novel Framework for Proactive Maintenance using Failure Prediction and Bit Lossless Protection in Optical Transport Networks Fumikazu Inuzuka, Takuya Oda, Takafumi Tanaka, Kei Kitamura, Seiki Kuwabara (NTT), Akira Hirano (TDU), Takuya Ohara (NTT) OCS2019-77 |
We propose a novel framework for proactive maintenance that realizes disruption-free networks with low latency. The proa... [more] | OCS2019-77 pp.67-70 |
| EE | 2018-01-30 13:35 |
Oita | Satellite Campus Oita | Failure Prediction Using Low Stability Phenomenon of Digitally Controlled SMPS by Electrolytic Capacitor ESR Degradation Hiroshi Nakao, Yu Yonezawa, Yoshiyasu Nakashima (Fujitsu LAB), Fujio Kurokawa (NiAS) EE2017-71 |
Electrolytic capacitors are known as one of the highest failure rate components in switching mode power supply SMPS). We... [more] | EE2017-71 pp.165-170 |
| CQ | 2018-01-19 15:50 |
Tokyo | NII | Time series analysis of failure rates of equipments for telecommunication networks.
-- Improvement of the method of prediction -- Hiroyuki Funakoshi (NTT) CQ2017-101 |
The author has been predicted the failure rate of telecommunication network equipments by the state space model. The met... [more] | CQ2017-101 pp.93-98 |
| DE, IPSJ-DBS, IPSJ-IFAT | 2017-09-19 15:20 |
Tokyo | Ochanomizu University | Model Ensemble for Failure Event Detection using Multiple User Activity Data on the Web Motoyuki Oki (NTT Communications), Koh Takeuchi (NTT), Yukio Uematsu (NTT Communications) DE2017-20 |
Mobile network service providers aim to maintain stable operation and improve service performance using multiple user's ... [more] | DE2017-20 pp.123-128 |
| CQ | 2017-07-27 12:05 |
Hyogo | Kobe University | Time series analysis of failure rates of equipments for telecommunication networks.
-- State space model using Bayesian inference -- Hiroyuki Funakoshi (NTT) CQ2017-35 |
The author has been analyzed the failure rate of telecommunication network equipments by time series analysis using ARIM... [more] | CQ2017-35 pp.37-42 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2015-03-03 09:45 |
Tokyo | Seikei Univ. | A study on estimation of number of spare equipments for telecommunication networks Hiroyuki Funakoshi, Tatsuya Matsukawa, Takuma Tsubaki (NTT) CQ2014-113 |
The authors have been proposed the failure rate estimation method considering the change in number of equipments for tel... [more] | CQ2014-113 pp.7-12 |
| R | 2014-11-20 13:45 |
Osaka | Prediction of performance degradation and lifetime for semiconductor devices using markov chain model Kai Momoda, Koichi Endo, Yoshihiro Midoh, Katsuyoshi Miura, Koji Nakamae (Osaka Univ.) R2014-61 |
We study on a method to predict performance degradation and lifetime of semiconductor devices under the assumption that ... [more] | R2014-61 pp.1-5 |
|
| SC | 2014-03-14 14:35 |
Tokyo | National Institute of Informatics | Online Failure Prediction with Accurate Failure Localization in Cloud Infrastructures Hiroshi Otsuka (Fujitsu Labs), Kaustubh Joshi, Matti Hiltunen, Scott Daniels (AT&T Lab), Yasuhide Matsumoto (Fujitsu Labs) SC2013-20 |
The ability to predict the occurrence of a failure in a large scale IT infrastructure, such as a cloud data center, open... [more] | SC2013-20 pp.7-12 |
| EMD | 2010-11-12 14:15 |
Overseas | Xi'an Jiaotong University | On a Contact Failure Prediction and Reliability of Electrical Contacts Zhiling Yu, Takahiro Ueno, Kenya Jin'no (Nippon Inst. of Tech.) EMD2010-115 |
The contact devices are widely used in electrical circuits, and very important. For this reason, they are required high ... [more] | EMD2010-115 pp.201-204 |
| EA, US (Joint) |
2009-01-30 16:00 |
Kyoto | Soil-moisture monitoring using ultrasonic wave for prediction of slope failures Takefumi Suda, Kazuhiro Hirai, Katsuhiko Tanaka, Kazunari Sako, Ryoichi Fukagawa (Ritsumeikan Univ.) US2008-92 |
Field monitoring systems are used for prediction of slope failures due to rainfall. Such slope failures are affected by ... [more] | US2008-92 pp.117-122 |
|
| RCS | 2008-06-27 09:50 |
Mie | Mie University | HIGH PRECISION-PREDICTIVE PREEMPTIVE AD HOC ON-DEMAND DISTANCE VECTOR ROUTING IN AD HOC NETWORKS Hayato Kitamoto, Naoki Masuda, Safdar H. Bouk, Iwao Sasase (Keio Univ.) RCS2008-18 |
Predictive Preemptive Ad hoc On-demand Distance Vector (PPAODV) routing protocol performs routing in ad hoc network by p... [more] | RCS2008-18 pp.13-18 |
| CPSY, DC | 2006-04-14 09:00 |
Tokyo | Takeda Hall | Recovery Oriented Computing
-- High Available System using Failure Prediction -- Tomohiro Nakamura (Hitachi Ltd.) |
University of California at Berkeley and Stanford University collaborate on Recovery Oriented Computing (ROC) and Reliab... [more] | CPSY2006-1 DC2006-1 pp.1-6 |
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