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Current methodologies based on physical image quality measurements are however not designed for the evaluation of processed images.
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In order to realize preliminary evaluation of process design, a virtual processing algorithm for the intelligent stamping process was proposed.
Experimental design was used in the evaluation of process variables.
Systematic downstream process development and optimization requires extensive experimental evaluation of process alternatives.
In this paper, a numerical evaluation of process design model was carried out.
Early evaluation of process hazards is beneficial because process can be made inherently benign at lower cost.
This approach is promising for the preliminary design and evaluation of process options including a CO2 capture unit.
Design: The Evaluation of Processes and Indicators in Infection Control (EPIC) study was conducted as a prospective surveillance study.
Therefore, it simplifies optimal design of SSR processes and evaluation of process performance, while allowing minimizing the startup time of the process.
In this perspective, chatter prediction algorithms play a crucial role, since they allow a preventive evaluation of process stability for any given spindle speed regime.
While design customizability is measured based on the information content metric, the evaluation of process customizability follows the general gist of process capability indices.
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