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SoSADL models are analyzed by the transformation algorithm, searching for environment connections.
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Each state of the transformation process is defined by four features: ROM (Recursive Object Model), POS (Part of Speech), PES (Product Environment System), and FBS (Function Behavior State). The transformation algorithm is thus constituted by transition rules which change one transformation state to another, and procedures which apply the transition rules to a given ROM diagram.
The transformation algorithm searches for environment connections.
The transformation algorithms are based on graph transformations; tool support has been developed.
Secondly, a corresponding target ROM diagram is generated by a transformation algorithm.
The edge characteristics statistics algorithm, template-matching algorithm and the Fourier transformation algorithm were used.
Then, in the proposed scheme, we design the LLR-based transformation algorithm (TA) which uses the unimodular transformation to minimize the PEPs of the symbols by the LLR criterion.
By analysis of gas phase pressure fluctuation spectra by means of fast Fourier transformation algorithm and quantitative particle image velocimetry (PIV) measurements, different operation ranges will be identified and depicted graphically.
In the first part, a transformation algorithm is applied to 3D human motion data captured by a Kinect.
The corresponding transformation algorithms are called algorithms for degree elevation of Bernstein polynomial representations.
After images acquisition, the echo planar distortions induced by eddy-current were corrected using an affine transformation algorithm.
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