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Paper Abstract and Keywords
Presentation 2019-02-20 11:00
A Note on Estimation of Rock Drilling Energy Using Tunnel Working Face Images
Kentaro Yamamoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In tunnel construction, it is important to grasp the geological condition of the rock to shorten the construction period and ensure the safety of work. Drilling energy that is necessary energy for rock drilling is used as an indicator of the geological condition of the rock. In this paper, we propose a classification method of tunnel working face images considering drilling energy as an initial study of drilling energy estimation. The proposed method constructs classifiers based on the k-nearest neighbor method using the value of drilling energy existing in the vicinity of the estimation target and Support Vector Machine using image features that express the rock appearance such as its color and cracks. Then the proposed method realizes classification of tunnel working face images considering drilling energy by integrating the classification results obtained via the constructed classifiers.
Keyword (in Japanese) (See Japanese page) 
(in English) tunnel working face images / drilling energy / k-nearest neighbor / Support Vector Machine / / / /  
Reference Info. ITE Tech. Rep., vol. 43, no. 5, ME2019-54, pp. 291-294, Feb. 2019.
Paper # ME2019-54 
Date of Issue 2019-02-12 (MMS, HI, ME, AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee ME IEICE-IE IEICE-ITS MMS HI AIT  
Conference Date 2019-02-19 - 2019-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ME 
Conference Code 2019-02-ME-IE-ITS-MMS-HI-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Estimation of Rock Drilling Energy Using Tunnel Working Face Images 
Sub Title (in English)  
Keyword(1) tunnel working face images  
Keyword(2) drilling energy  
Keyword(3) k-nearest neighbor  
Keyword(4) Support Vector Machine  
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1st Author's Name Kentaro Yamamoto  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Ryosuke Harakawa  
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 Author-1 
Date Time 2019-02-20 11:00:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # MMS2019-32, HI2019-32, ME2019-54, AIT2019-32 
Volume (vol) vol.43 
Number (no) no.5 
Page pp.291-294 
#Pages
Date of Issue 2019-02-12 (MMS, HI, ME, AIT) 


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