Research field (3):
Fluid engineering
, Computational science
, Information theory
Research keywords (6):
計算力学システム
, ネットワーク・コンピューティング
, 数値流体力学
, CAE System
, Network Computing
, Computational Fluid Dynamics
Research theme for competitive and other funds (5):
2014 - 2019 Development of AR camera using real time simulation technology
2005 - 2007 Research of Simulator for Predicting Quake-Proof Capability of Nuclear Power Plants
2002 - 2007 ADVENTYURE-ITBL Project
2003 - 2006 Development of Stress/Stream Camera using Real Time Simulation Technique
2003 - 2005 リアルタイムシミュレーション技術を用いた応力カメラ・流線カメラの開発
Papers (22):
Natsumi Okatani, Ryuji Shioya, Yasushi Nakabayashi, Terutoshi Tada. Development of 3D Modeling System from 2D Plane Figures using AR and AI. Transactions of the Japan Society for Computational Engineering and Science. 2022. 2022. 2022
Hiroki Nishi, Daisuke Yamanaka, Hiroyasu Kamei, Yuki Goda, Mikako Kumano, Yuka Toyoshima, Asako Takenaka, Masato Masuda, Yasushi Nakabayashi, Ryuji Shioya, et al. Importance of Serum Amino Acid Profile for Induction of Hepatic Steatosis under Protein Malnutrition. Scientific Reports. 2018. 8. 1
Shinsuke Nagaoka, Yasushi Nakabayashi, Genki Yagawa. Application of the EFMM to fluid-structure coupled analysis and its parallelization method. ECCOMAS Special Interest Conference - SEECCM 2013: 3rd South-East European Conference on Computational Mechanics, Proceedings - An IACM Special Interest Conference. 2013. 137-148
増田正人, 中林靖, 田村善昭. Prediction of Computational Fluid Dynamics Results using Convolutional LSTM. 日本計算工学会論文集(Web). 2020. 2020. 1
ZHENG Hongjie, 中林靖, 増田正人, 西宏起, 山中大介, 高橋伸一郎, 伯野史彦, 宮内陽介, 岡崎敬, 吉田一寛, et al. Effect Verification of Transfer Learning on Fatty Liver Classification with Chicken Liver Image based on Convolutional Neural Networks. 日本計算工学会論文集(Web). 2020. 2020. 1
増田正人, ZHENG Hongjie, 中林靖, 伯野史彦, 高橋伸一郎. Research on production of high quality meat by blood amino acid profile using machine learning. 日本機械学会計算力学講演会論文集(CD-ROM). 2019. 32nd
増田正人, 中林靖, 田村義昭. Prediction of numerical analysis results using Convolutional LSTM. 計算工学講演会論文集(CD-ROM). 2018. 23
Comparison Between Experimental Result and Fluid-Structure Interaction Analysis using the Enriched Free Mesh Method
(The Computational Mechanics Conference 2014)
Prediction of Analysis Result using Self-Organizing Map
(The Computational Mechanics Conference 2014)
1304 Coupled Analysis of Vibration Phenomena and Classification by Self-Organizing Map
(The Computational Mechanics Conference 2013)
G011023 Parallel Fluid-Structure Coupled Analysis Method by EFMM
(Mechanical Engineering Congress, Japan 2013)
Development of Free-Kick Support System using mnSOM
(Transactions of the Japan Society for Computational Engineering and Science 2013)