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Paper Abstract and Keywords
Presentation 2014-02-17 10:05
A note on estimating deformation based on Bayesian networks using images from bridge inspection
Katsuki Kobayashi, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a method for estimating deformation of bridges based on Bayesian networks. There exist strong relationship between types of deformation, parts and members of bridges and their visual features. Therefore, the proposed method generates a Bayesian network by using types of parts and members of bridges obtained from inspection and visual features of deformation. By using the obtained Bayesian network, the estimation of the unknown deformation from new inspection data becomes feasible.
Keyword (in Japanese) (See Japanese page) 
(in English) maintenance and management / inspection data / Bayesian network / visual feature / / / /  
Reference Info. ITE Tech. Rep., vol. 38, no. 7, ME2014-4, pp. 217-221, Feb. 2014.
Paper # ME2014-4 
Date of Issue 2014-02-10 (HI, ME, AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee IEICE-ITS IEICE-IE AIT HI ME  
Conference Date 2014-02-17 - 2014-02-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ITS Image Processing, etc. 
Paper Information
Registration To ME 
Conference Code 2014-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A note on estimating deformation based on Bayesian networks using images from bridge inspection 
Sub Title (in English)  
Keyword(1) maintenance and management  
Keyword(2) inspection data  
Keyword(3) Bayesian network  
Keyword(4) visual feature  
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1st Author's Name Katsuki Kobayashi  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Sho Takahashi  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takahiro Ogawa  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Miki Haseyama  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker
Date Time 2014-02-17 10:05:00 
Presentation Time 15 
Registration for ME 
Paper # ITE-HI2014-4,ITE-ME2014-4,ITE-AIT2014-4 
Volume (vol) ITE-38 
Number (no) no.7 
Page pp.217-221 
#Pages ITE-5 
Date of Issue ITE-HI-2014-02-10,ITE-ME-2014-02-10,ITE-AIT-2014-02-10 


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