Shi CHEN (D2), Department of Nuclear Engineering and Management, won “Best Poster Award” at The 39th Annual Meeting of INMMJ
Shi CHEN (D2), Department of Nuclear Engineering and Management, won “Best Poster Award” at The 39th Annual Meeting of the Institute of Nuclear Materials Management Japan Chapter(INMMJ).
<About awarded research>
An urgent lesson learned from Fukushima Daiichi accident is what can happen by natural disaster also can be made to happen by human design. The accident raised a fear that terrorists could cause a similar accident by acts of sabotage against nuclear facilities and it is noticeable that threats of nuclear terrorism for nuclear security is increased after the accident. Especially as a threat to nuclear facilities, insider sabotage is worthy of attention. We propose a vision-based Deep Neural Network (DNN) model for hand motion recognition and sabotage detection in response to the certain limitations of Physical Protection System (PPS) in nuclear facilities.
<Comments> I would like to express my sincere gratitude to my supervisor Prof. Kazuyuki Demachi. His patience and kindness helped me to overcome the difficulties and develop my research ideas. I would also like to thank all of my laboratory colleges for insightful comments and incredibly helps. For the future plan, I will continue my work on developing the insider sabotage detection system using deep learning to maintain the safety and security of nuclear facilities