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Kawamura, Takuma; Sakamoto, Naohisa*
Proceedings of 41st JSST Annual International Conference on Simulation Technology (JSST 2022) (Internet), p.266 - 269, 2022/09
Visualization of the large CFD dataset in remote locations by VR, especially using volume rendering, is one of the issues in the visualization field. The visualization library KVS supports PBVR, a unique particle-based visualization method suitable for large-scale data, and we have developed an extension of KVS for VR. In this paper, we present a design for VR extension of CS-PBVR, a remote visualization application based on KVS. The developed CS-PBVR for VR is then applied to test data and shown to be capable of VR visualization at interactive frame rates.
Sasaki, Miyuki; Sanada, Yukihisa; Torii, Tatsuo*; Yoshino, Masano*; Yoshikawa, Akira*
no journal, ,
The purpose of this study is to develop an inexpensive and simple omni-directional radiation imaging system using a fractal-shaped detector. This detector has sensitivity in all directions by arranging tetrahedral detectors of about 1 cm to 2 cm in fractal shape, and can identify the direction of radiation based on the difference in sensitivity. Previous studies shown that inverse problem analysis can better reproduce the distribution of radiation sources using the radiation count rates. For the design of this system, we propose a new analysis method when added the directional characteristics of radiation in addition to the count rates. This computational evaluation method was applied to an actual prototype detector system, and the sensitivity to actual radiation was compared with the calculated results to clarify the validity of the method.