Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Aoki, Hiroyuki; Liu, Y.*; Yamashita, Takashi*
Scientific Reports (Internet), 11(1), p.22711_1 - 22711_9, 2021/11
Times Cited Count：9 Percentile：60.44(Multidisciplinary Sciences)Hatayama, Sora*; Shimokawabe, Takashi*; Onodera, Naoyuki
no journal, ,
We propose a prediction method for large-scale simulation results by dividing the input geometry into multiple parts and applying a single small neural network to each part in parallel. The constructed model predicts a two-dimensional velocity field using a signed distance function as input. In addition, we divide a large area into multiple regions and the prediction is iteratively performed for each region until convergence. Finally, we confirmed that the velocity fields of multiple regions are reproduced by using a boundary exchange method.
Seki, Akiyuki; Yoshikawa, Masanori; Okita, Shoichiro; Takaya, Shigeru; Yan, X.
no journal, ,
Tanifuji, Yuta; Kawabata, Kuniaki
no journal, ,
This paper reports on the development of a camera image clarifying method using deep learning to assist in recognizing the status of the workspace when executing the task remotely. By the result of the experiments, it was confirmed that the quality of images of actual decommissioning workspace clarified by proposed method is better than that of conventional methods.
Kimura, Yoshiki; Matsumoto, Tetsuya*; Yamaguchi, Tomoki
no journal, ,
no abstracts in English
