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Although some developments have been achieved in finger vein recognition recently, the image deformation problem has received relatively less attention and still intractable. In this paper, the reason and the harmfulness of this problem are analyzed firstly. And then, a deformable finger vein recognition framework is proposed to deal with this problem, consisting of the improved vein PCA-SIFT feature...
We present the AP16-OL7 database which was released as the training and test data for the oriental language recognition (OLR) challenge on APSIPA 2016. Based on the database, a baseline system was constructed on the basis of the i-vector model. We report the baseline results evaluated in various metrics defined by the AP16-OLR evaluation plan and demonstrate that AP16-OL7 is a reasonable data resource...
Along with the rapid development of the power industry, distribution networks get more sophisticated. Traditional fault location methods have obvious drawbacks. In this paper, an accurate and efficient method based on multi- source information from protective equipment and FTUs (Feeder Terminal Unit) as well as voltage sag profiles from monitored node is proposed for fault location in distribution...
Along with the research on the cloud computing with its applications is deep going, the business perspective of cloud computing is emerging as the frontiers and hotspots in this field. This paper is aimed at mapping the research in this field by means of a visualization analysis approach based on the citation and co-citation network. With the aid of the software CiteSpace II and the literature data...
An effective algorithm for detecting QRS wave group was presented. The ECG signal is de-composed with the equivalent filter of a biorthogonal spline wavelet by Mallat pyramid decomposition. The signal singularity's Lipschitz exponent was used to analyze the relationship between the signal singularity (peak R) and the zero-crossing point of the modulus maximum pair of its wavelet transform,the Biorthogonal...
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