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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...
Clustering is one of the most commonly data explorer techniques in Data Mining. K-harmonic means clustering (KHM) is an extension of K-means (KM) and solves the problem of KM initialization using a built-in boosting function. However, it is also suffering from running into local optima. As a stochastic global optimization technique, harmony search (HS) can solve this problem. HS-based KHM, HSKHM not...
We consider the problem of fuzzy community detection in networks, which complements the concept of overlapping community structure. Using the optimization method to approximate network feature matrix is an important approach for conventional fuzzy community detection. In order to retain valuable physical meaning of the approximation, we discard redundant constraints in the process of approximation...
Medical image registration is a critical step in medical image processing. In this paper, a mixed-type image registration approach is presented, which combines the segmentation-based and voxel-based registration. Firstly, the experimental images are preprocessed, including digital imaging and communication of medicine (DICOM) format conversion, denoising, and segmentation. Then mutual information...
The research of multi-product manufacturing scheduling under the circumstances of multi-orders is not profound so far, therefore, this paper proposed a new multi-objective optimization model which was base on orders. The objectives of this model include maximization of profit and balanced production. In order to realize balanced production, we use a method which could minimize various resource consumption...
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