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Yamada, Tomonori
Keisan Kogaku Koenkai Rombunshu, 14(1), p.247 - 248, 2009/05
no abstracts in English
Miyamura, Hiroko; Suzuki, Yoshio; Takemiya, Hiroshi
no journal, ,
We propose a spatio-temporal map that enables the visualization of spatio-temporal data from three-dimensional models having temporal-varying physical data. Recent increases in the size and complexity of simulated time-series datasets makes the interactive visualization of datasets difficult. Therefore for such large-scale complex datasets, specifications of interested area are difficult. Our goal is to facilitate the examination of such large-scale complex spatio-temporal datasets.
Suzuki, Yoshio; Hayashi, Sachiko; Miyamura, Hiroko
no journal, ,
Our challenge is to estimate the validity of simulation results by establishing "Cerebral Methodology Based Computing (CMC)". The estimation of the validity is indispensable to accurately predict phenomena by using simulation. It is difficult to estimate the validity from a single simulation because the simulation contains uncertainties and ambiguities. We have proposed CMC as the computing methodology which enables us to estimate the validity of results with both deductive and inductive approaches, similar to the human thinking process. To realize CMC, we have constructed the system which enables us to execute both deductive simulations and inductive simulations, and then combine results of those simulations in an integration process. We have applied the system to a thermal displacement analysis of a nuclear power plant and confirmed the usefulness of the system.