Affiliation |
Graduate School of International Resource Sciences Department of Earth Resource Engineering and Environmental Science |
Laboratory Address |
Room N207, Faculty of International Resource Sciences Bidg., Akita University, 1-1 Tegatagakuen, Akita 010-8502 |
Laboratory Phone number |
+81-18-889-2496 |
Homepage URL |
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Mail Address |
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TORIYA Hisatoshi
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Research Interests 【 display / non-display 】
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Image Processing
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Computer Vision
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Remote Sensing
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Machine Learning
Graduating School 【 display / non-display 】
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2008.04-2012.03
University of Tsukuba Graduated
Graduate School 【 display / non-display 】
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2018.04-2021.03
University of Tsukuba Doctor's Degree Program Completed
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2012.04-2014.03
University of Tsukuba Master's Degree Program Completed
Campus Career 【 display / non-display 】
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2022.11-Now
Akita University Graduate School of International Resource Sciences Department of Earth Resource Engineering and Environmental Science Associate Professor
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2021.05-2022.10
Akita University Graduate School of International Resource Sciences Department of Earth Resource Engineering and Environmental Science Specially-appointed Assistant Professor
Research Achievements 【 display / non-display 】
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Development of Asbestos Containing Serpentinite Identification Method Using Hyper Spectral Imaging
Narihiro OWADA, Minato TOBITA, Brian SINAICE, Hisatoshi TORIYA, Shinji UTSUKI, Youhei KAWAMURA
International Journal of the Society of Materials Engineering for Resources ( The Society of Materials Engineering for Resources of JAPAN ) 25 ( 2 ) 2022.10 [Refereed]
Research paper (journal) Domestic Co-author
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Landslides Susceptibility Mapping Using Frequency Ratio Model and GIS in Central Parts of Badakhshan Province, Afghanistan
Bashirahmad Jalali, Hisatoshi Toriya, Taeyoo Na, Itaru Kitahara, Tsuyoshi Adachi, Youhei Kawamura
International Journal of the Society of Materials Engineering for Resources ( The Society of Materials Engineering for Resources of JAPAN ) 25 ( 2 ) 2022.10 [Refereed]
Research paper (journal) Domestic Co-author
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Deep Learning as an Early Detection System for Rotary Percussion Drilling Malfunctions
Yoshino KOSUGI, Hisatoshi TORIYA, Mahdi SAADAT, Tsuyoshi ADACHI,Hajime IKEDA,Youhei KAWAMURA
International Journal of the Society of Materials Engineering for Resources ( The Society of Materials Engineering for Resources of JAPAN ) 25 ( 2 ) 205 - 211 2022.10 [Refereed]
Research paper (journal) International Co-author
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Visualization of 1D CNN Lithology Identification Model from Rotary Percussion Drilling Vibration Signals Using Explainable Artificial Intelligence Grad-CAM
Lesego SENJOBA, Hajime IKEDA, Hisatoshi TORIYA, Masaya HISADA, Tsuyoshi ADACHI, Youhei KAWAMURA
International Journal of the Society of Materials Engineering for Resources ( The Society of Materials Engineering for Resources of JAPAN ) 25 ( 2 ) 224 - 228 2022.10 [Refereed]
Research paper (journal) Domestic Co-author
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Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site
Hisatoshi Toriya, Zedrick Paul L. Tungol, Hajime Ikeda, Narihiro Owada, Hong Doo Jang, Tsuyoshi Adachi, Itaru Kitahara, Youhei Kawamura
Mining ( MDPI ) 2 ( 2 ) 438 - 448 2022.06 [Refereed]
Research paper (journal) International Co-author
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A Method to Correct Perspective Distortion of Ground Area without Camera Parameters
Toriya H.
Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021 ( Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021 ) 3566 - 3567 2021 [Refereed]
Research paper (international conference proceedings)
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Digital Twin Technology Accelerating in Mining Industry
KAWAMURA Youhei, IKEDA Hajime, TORIYA Hisatoshi
Geoinformatics ( Japan Society of Geoinformatics ) 32 ( 4 ) 107 - 112 2021.12
<p>The concept of digital twins has started attracting attention due to the expansion of the Internet of Things (IoT) and the development of augmented reality (AR) and virtual reality (VR). Similar to the digital twins of other industries, the digital twin for mining is virtual representations of the physical world and are stored in a typical structure on the cloud data platform. However, a digital twin is different from general models and simulations. The concept of reproducing and simulating an entity in a digital space using real-world data is not novel. However, the difference between a digital twin and general simulations is that changes in the real world can be reproduced in the digital space and are linked to each other in real time. With the expansion of IoT, real-world data is being automatically collected in real time and immediately reflected in digital spaces through networks. Thus, the similarity between real-world objects and digitalspace models can be maintained. From this perspective, a digital twin is considered to be a "dynamic" virtual model in the real world. Digital twin technology for mining can enable mine modelling for various purposes.</p>
◆Original paper【 display / non-display 】
◆International conference proceedings【 display / non-display 】
◆Other【 display / non-display 】
Grant-in-Aid for Scientific Research 【 display / non-display 】
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Grant-in-Aid for Early-Career Scientists
Project Year: 2023.04 - 2026.03