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A material, the morphology of which can be controlled by utilizing different material deposition methods, is formed within the template followed by its removal.
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This method is formed by prediction stage and test stage.
The key feature of the proposed method is formed by combining the discontinuous Galerkin method to spatial variables and a finite difference scheme to temporal variables.
To solve this problem, expert evaluation and fuzzy theory are adopted and a fuzzy risk matrix analysis method is formed.
The basis of our method is formed by a fast and accurate finite element implementation of an elasto-plastic material model, specifically designed for interactive shape manipulation.
The displacements are stored on the cell vertex and a vertex based finite volume method is formed with that integral surface and the stresses are as assumed to be uniform in the cell.
The method is formed by discretizing a new auxiliary variable formulation of the conservation equations, which is a variable density analog to the impulse or gauge formulation of the incompressible Euler equations.
A set of digital signal processing method is formed by combining a digital band-pass filter, an adaptive lattice notch filter and the DTFT algorithm considering negative frequency contribution for processing the signals of Coriolis mass flowmeter.
By improving these two aspects, a GVCA method was formed.
Then, a detailed thermal model for the shell and tube heat exchanger based on logarithmic mean temperature difference method was formed.
Both methods are forms of template matching: two segments are isolated from a long recording and the similarity between those segments is quantified.
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