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The non-linear strain-dependent thermal properties of constituent materials have been discretised by multi-linear curves, which have been implemented by the user defined subroutine, USDFLD of the finite element package, Abaqus.
This paper presents our work involving the development of a real-time operator training system using a protective relay implemented by the user defined component (UDC) model of a Real-Time Digital Simulator (RTDS).
Each map task processes one data block of the input file, and outputs intermediate key/value pairs generated by the user defined map function.
The latter span any time period not covered by the user defined boxes.
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The structure strength prediction is realized by developing the user defined material (UMAT) subroutine with Fortran scripts on the ABAQUS platform.
We bridge the gap between creation and generation by converting existing manually modeled architecture to procedurally editable parametrized models, and carrying the guidance to procedural domain by letting the user define the target procedural representation.
This model was implemented into a finite element code by means of the User Defined Material files.
The final step of our algorithm is detection of the tumor boundary by shrinking the initial user defined ROI (T ROI ) to the tumor boundary.
Based on these real-time amplification plots, Ct-values were calculated in the PCR Quantification tab of the Data Analysis module by user defined assignation of the Baseline Cycles and the Threshold position.
The approach is achieved by adopting user defined experimentally related keywords, GO annotations, GO term distance matrices, orthologous housekeeping gene candidates, and stability ranking of housekeeping genes.
The modules were connected by user defined functions and schemes to a CFD solver.
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