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DataView: a computational visualisation system for multidisciplinary design and analysis

delete2014-05-09
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王
王成恩 (Chengen Wang) *
DOI:10.1080/17517575.2014.914248delete
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摘要

摘要

En 中文
Rapidly processing raw data and effectively extracting underlining information from huge volumes of multivariate data become essential to all decision-making processes in sectors like finance, government, medical care, climate analysis, industries, science, etc. Remarkably, visualisation is recognised as a fundamental technology that props up human comprehension, cognition and utilisation of burgeoning amounts of heterogeneous data. This paper presents a computational visualisation system, named DataView, which has been developed for graphically displaying and capturing outcomes of multiphysics problem-solvers widely used in engineering fields. The DataView is functionally composed of techniques for table/diagram representation, and graphical illustration of scalar, vector and tensor fields. The field visualisation techniques are implemented on the basis of a range of linear and non-linear meshes, which flexibly adapts to disparate data representation schemas adopted by a variety of disciplinary problem-solvers. The visualisation system has been successfully applied to a number of engineering problems, of which some illustrations are presented to demonstrate effectiveness of the visualisation techniques.
Keyword:
computational visualisation
multidisciplinary design and analysis
scalar field visualisation
vector field visualisation
tensor field visualisation
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Enterprise Information Systems
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