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Computing connected components is a core operation on graph data. Since billion-scale graphs cannot be resident in memory of a single server, several approaches based on distributed machines have recently been proposed. The representative methods are $\mathsf{Hash\hbox{-}To\hbox{-}Min}$ and $\mathsf{PowerGraph}$. $\mathsf{Hash\hbox{-}To\hbox{-}Min}$ is the state-of-the art disk-based distributed...
In this paper, an interior permanent magnet synchronous motor (IPMSM) is proposed for electric vehicle (EV) traction system, which is required to be high efficiency performance and capable of wide constant-power operation under proper vector current control strategies. With the help of 2-D finite element analysis (FEA) and equivalent circuit method, with considering the limitation of battery voltage,...
Dimensionality reduction is essential in text mining since the dimensionality of text documents could easily reach several tens of thousands. Most recent efforts on dimensionality reduction, however, are not adequate to large document databases due to lack of scalability. We hence propose a new type of simple but effective dimensionality reduction, called horizontal (dimensionality) reduction, for...
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