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Paper Abstract and Keywords
Presentation 2018-01-19 15:50
Time series analysis of failure rates of equipments for telecommunication networks. -- Improvement of the method of prediction --
Hiroyuki Funakoshi (NTT)
Abstract (in Japanese) (See Japanese page) 
(in English) The author has been predicted the failure rate of telecommunication network equipments by the state space model. The methods of prediction are distinguished by the pattern of failures. As a result of examination, it is found that the case does not correspond to the author’s proposal or the prediction accuracy is not appropriate. In this article, the author propose a method to improve the prediction as an alternative. Moreover, the example of analysis using actual outage data is also shown.
Keyword (in Japanese) (See Japanese page) 
(in English) failure rate / time series analysis / state space model / Kalman filter / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 386, CQ2017-101, pp. 93-98, Jan. 2018.
Paper # CQ2017-101 
Date of Issue 2018-01-11 (CQ) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee CQ  
Conference Date 2018-01-18 - 2018-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) NII 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Video/Voice Services Quality, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, etc. 
Paper Information
Registration To CQ 
Conference Code 2018-01-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Time series analysis of failure rates of equipments for telecommunication networks. 
Sub Title (in English) Improvement of the method of prediction 
Keyword(1) failure rate  
Keyword(2) time series analysis  
Keyword(3) state space model  
Keyword(4) Kalman filter  
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1st Author's Name Hiroyuki Funakoshi  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker
Date Time 2018-01-19 15:50:00 
Presentation Time 25 
Registration for CQ 
Paper # IEICE-CQ2017-101 
Volume (vol) IEICE-117 
Number (no) no.386 
Page pp.93-98 
#Pages IEICE-6 
Date of Issue IEICE-CQ-2018-01-11 


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