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Research on High-Dimensional Data Reduction
Cuihua Tian,Yan Wang,Xueqin Lin,Jing Lin,Jiangshui Hong 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.1
In this paper, features of high-dimensional data are analyzed, and existing problems of the Canonical Correlation Analysis (CCA) are analyzed for a single view of a full supervised view data. In order to improve CCA, we introduce the method of classifier and present a Classifying to Reduce Correlation Dimensionality (CRCD). Meanwhile, combining big interval learning method, we propose the big correlation analysis (BCA). At last, experiments are respectively conducted by using artificial data set and UCI standard data set. The result shows that methods are feasible and effective.
Fast Response Research of Magnetically Controlled Reactor
Chen Feng,Wang Jun,Zheng Hao,Lu Wenhua,Tian Cuihua,Yuan Jian,Chen Baichao,Yuan jiaxin 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.10
As a kind of reactive power compensation equipment with control flexibility and high reliability, magnetically controlled reactor (MCR) is widely used in reactive power compensation, over-voltage limitation and other aspects. However, low responding speed has severely limited the application of MCR. Especially when applied to suppress voltage flicker and arc suppression coil, the slow response of MCR will decrease the stability of control system, even causing the system shock. To improve the response performance of MCR, in this paper, the working principle of MCR has been analyzed, and a fast response structure of MCR has been designed with the novel fast response structure, fast excitation and rapid demagnetization can be achieved. According to the simulation and experiment results, the effectiveness of the proposed structure is verified by limiting the response time in 30ms.