The model has been verified and validated by implementing a distributed image-rendering algorithm over a simulated mobile cluster model.
We verify this claim by implementing TTS and R-RS on common sensors.
With respect to other works in literature [10 13], where smart DC/DC converter functionalities are verified by simulations, this work implements all the described features in a fabricated silicon prototype that was subject to a full experimental characterization.
The Leacock 2006 orthotropic yield criterion, previously developed and experimentally verified by Leacock [1], was implemented as a rate independent, elastoplastic user material subroutine (UMAT) within the commercial finite element software PAM-STAMP 2G™.
Here, a phase-field-based numerical model is first implemented and verified by accurately capturing the initial dynamic wetting of millimeter-sized metal drops and then the model is extended to predict the dynamic wetting of a micrometer-sized metal drop.
The efficiency and the robustness of the proposed method are theoretically analyzed and empirically verified by a series of experiments implemented on multiple synthetic and face reconstruction problems, as compared with the classical PCA method and other typical sparse PCA methods.
Then, the implemented model is verified by means of a benchmark problem with a known analytical solution.
The proposed controller is designed and verified by digital computer simulation and then implemented for buck, boost and buck boost converters by using an 8-bit microcontroller.
