On 8th March 2019, Satoshi Terayama (B4) , Department of System Innovation, received "Award for excellence" at The 12th Student Research Presentation Meeting of the Atomic Energy Society of Japan.
This is a small conference by students in the field of nuclear energy and radiation at a university in the Kanto and Koetsu area. Totaly 61 research presentations were made in fiscal 2020. The "Award for excellence" is awarded to one graduate student and one university student.
<About awarded research>
Research Theme: Early abnormality detection of dynamic equipment using regression-type neural network
Using the Long short-term memory (LSTM) which is a kind of deep learning, he succeeded to detect earlier signs of abnormality of equipment by analyzing the monitoring time-series data using the Long short-term memory (LSTM) which is a kind of deep learning.
After going to graduate school, I will do my best in research and study.