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Paper Abstract and Keywords
Presentation 2020-02-27 13:30
A Note on Estimation of rock compressive strength index from drilling data based on online learning
Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) It is necessary to evaluate the ground condition of the rock mass for safe and efficient tunnel construction. Currently, the evaluation of ground condition is performed by engineers manually, and thus methods of quantitative evaluation that do not rely on human biases are required. In this paper, we present a ground condition estimation method based on online learning using drilling data. An online learning-based estimation model can learn parameters according to the tunnel construction process. Therefore, it is possible to take into account changes in ground conditions, and highly accurate estimation can be realized.
Keyword (in Japanese) (See Japanese page) 
(in English) Tunnel / drilling data / online learning / passive-aggressive algorithm / / / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee ITE-HI IE ITS ITE-MMS ITE-ME ITE-AIT  
Conference Date 2020-02-27 - 2020-02-28 
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 ITE-ME 
Conference Code 2020-02-HI-IE-ITS-MMS-ME-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 compressive strength index from drilling data based on online learning 
Sub Title (in English)  
Keyword(1) Tunnel  
Keyword(2) drilling data  
Keyword(3) online learning  
Keyword(4) passive-aggressive algorithm  
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1st Author's Name Kentaro Yamamoto  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Ren Togo  
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 2020-02-27 13:30:00 
Presentation Time 15 
Registration for ITE-ME 
Paper #  
Volume (vol) IEICE-119 
Number (no)  
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#Pages IEICE- 
Date of Issue  


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