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The lattice Boltzmann method (LBM) is a computational method based on kinetic description of fluid mechanics. The Intel Many Integrated Core (MIC) architecture designed for highly parallel computing has not been fully evaluated for LBM. This paper proposes a hybrid MPI/OpenMP parallel model of LBM based on CPU+MIC heterogeneous architecture, using the two-dimensional partitioning method for data division...
We propose SPSTS, an automated sequential procedure for computing point and confidence-interval (CI) estimators for the steady-state mean of a simulation output process. This procedure is based on variance estimators computed from standardized time series, and it is characterized by its simplicity relative to methods based on batch means and its ability to deliver CIs for the variance parameter of...
Moving object segmentation techniques are fundamental and crucial for video surveillance. In this paper, we abandoned the traditional background differential model approach which ignores the foreground modeling, and address this problem under the Bayesian framework. Our major contribution can be summarized as, modeling the background and foreground competitively to augment the segmentation accuracy,...
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