Title :
A Data Extraction Algorithm for Huge Data Visualization Based on Computational Meshes
Author_Institution :
Sch. of Bus. Inf. Manage., Shanghai Univ. of Int. Bus. & Econ., Shanghai, China
Abstract :
In order to accelerate the visualization processes of huge engineering data based on computational meshes, the extraction of huge data are necessary. A data extraction algorithm of engineering visualization data based on meshes is presented. Based on ordinary four-node tetrahedron elements, ten-node tetrahedron elements, eight-node hexahedron elements, the algorithms are studied to extract and simplify data for huge engineering data visualization, which includes relationships judgment between objective points and elements and interpolation algorithm in elements. Experiments of huge data transportation are given here, which show that the algorithm is reliable, and the algorithm can be used to extract visualization data from huge data of engineering computational results.
Keywords :
data visualisation; engineering computing; information retrieval; interpolation; mesh generation; computational meshes; data extraction algorithm; data transportation; eight-node hexahedron elements; huge engineering data visualization; interpolation algorithm; objective point-element relationship judgment; ordinary four-node tetrahedron elements; ten-node tetrahedron elements; Algorithm design and analysis; Data mining; Data visualization; Equations; Finite element analysis; Interpolation; Mathematical model; data visualization; hexahedron element; interpolation; mesh; tetrahedron element;
Conference_Titel :
Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on
DOI :
10.1109/ICMeCG.2014.61