Shichao Qu

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Clustering for uncertain data is an interesting research topic in data mining. Researchers prefer to define uncertain data clustering problem by using combinatorial optimization model. Heuristic clustering algorithm is an efficient way to deal with this kind of clustering problem, but initialization sensitivity is one of inevitable drawbacks. In this paper,(More)
A method for rapid screening and confirmation of 205 pesticide residues in rice was developed by combining QuEChERS and high performance liquid chromatography-triple quadrupole-linear ion trap mass spectrometry (LC-Q-TRAP/MS). The rice samples were extracted with acetonitrile, and then cleaned up with primary secondary amine (PSA), anhydrous magnesium(More)
Along With the construction of urbanization, the electricity loads of large cities and load centers are increasing day by day. However, due to the land resources and environment and other factors, the development of conventional power supply is limited. Distributed generation is one of the effective ways to alleviate the surge of power load in the load(More)
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