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For the facilitation of the annealing process optimization, measurements of strength, hardness, and ductility under various annealing conditions were represented by regression Kriging.
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By exploiting the EMV features, introducing a circle cluster, and proposing a novel coherence-pattern, we then form a feature-aided weight coherence (FAWC) optimization to optimize measurement-matrix.
Since the decrease of uncertainty is at the expense of higher measurement cost, optimization of measurement cost for an acceptable uncertainty becomes a significant issue.
To provide additional input data for the present CALPHAD-type optimization, calorimetric measurements were performed in two ways.
Several experimental optimization and measurements related to the top endothelial layer need to be performed to achieve microvessels as close to in vivo as possible.
∙ Optimization of measurement matrix: In compressive sampling, measurement matrix directly determines whether the reconstruction can be realized successfully [6, 7].
We do not use the optimized measurement matrices (e.g., the matrix optimized by WCM method or proposed FAWC in this paper) to avoid any improvement brought from the optimization of measurement matrix.
After optimization the measurement quality has improved (corrected case) and the flow profile is measurable with the same accuracy as in the undisturbed case.
After optimization the measurement quality has improved (corrected).
Section 3 deals with the optimization of measurement matrix by exploiting EMV features.
Therefore, we can use the redundant data of all receivers in optimization of measurement matrix φ.
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