H. M. Huang

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A sparse crossbar (n,m, c)-concentrator is a bipartite graph with n inputs and m outputs in which any c or fewer inputs can be matched with an equal number of outputs, where c is called its capacity. Sparse crossbar concentrators play a key role in multiplexing signals in communication systems and constructing permutation and generalized connection(More)
The mechanism of brain contusion has been investigated using a series of three-dimensional (3D) finite element analyses. A head injury model was used to simulate forward and backward rotation around the upper cervical vertebra. Intracranial pressure and shear stress responses were calculated and compared. The results obtained with this model support the(More)
Electric power produced by renewable energy resources has been increased drastically, where the wind generation plays the dominant role in supplying green energy. Due to the limited available sites for onshore wind farms, offshore wind generation has attracted much attention in recent years. Technical challenges for offshore wind power plants connecting to(More)
The purpose of this paper is to search for the optimal connection of power transmission lines with underground power cables for a newly constructed substation to reduce the magnetic flux density around it. The genetic algorithm method is employed for solving the problem of optimization mentioned above to get a best connection. With the optimal connection,(More)
A sparse crossbar (n, m, e)-concentrator is a bipartite graph with n inputs and m outputs in which any c or fewer inputs can be matched with an equal number of outputs, where c is called its capacity. We present a number of new results on the crosspoint complexity of such concentrators. First, we describe a sparse crossbar (n, m, m)-concentrator whose(More)
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