TORIYA Hisatoshi

写真a

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

https://sites.google.com/view/toriya-hisatoshi

Mail Address

E-mail address

Research Interests 【 display / non-display

  • Image Processing

  • Computer Vision

  • Remote Sensing

  • Machine Learning

Graduating School 【 display / non-display

  • 2008.04
    -
    2012.03

    University of Tsukuba     Graduated

Graduate School 【 display / non-display

  • 2018.04
    -
    2021.03

    University of Tsukuba    Doctor's Degree Program  Completed

  • 2012.04
    -
    2014.03

    University of Tsukuba    Master's Degree Program  Completed

Campus Career 【 display / non-display

  • 2022.11
    -
    Now

    Akita University   Graduate School of International Resource Sciences   Department of Earth Resource Engineering and Environmental Science   Associate Professor  

  • 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

    ◆Original paper【 display / non-display

  • 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

  • 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

  • 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

  • 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

  • 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

  • display all >>

    ◆International conference proceedings【 display / non-display

  • 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)  

    DOI

  • ◆Other【 display / non-display

  • 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>

    DOI CiNii Research

Grant-in-Aid for Scientific Research 【 display / non-display

  • Grant-in-Aid for Early-Career Scientists

    Project Year: 2023.04  -  2026.03