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Existing Big data analytics platforms, such as Hadoop, lack support for user activity monitoring. Several diagnostic tools such as Ganglia, Ambari, and Cloudera Manager are available to monitor health of a cluster, however, they do not provide algorithms to detect security threats or perform user activity monitoring. Hence, there is a need to develop a scalable system that can detect malicious user...
Hot metal desulphurization pretreatment process has characteristics of multivariate and nonlinear, the sulfur content of hot metal can not be monitored online, it's difficult to set the amount of desulfurating agent accurately. To solve this problem, a model of RBF neural network was proposed based on production data of desulphurization. The model improved quality of the modeling data by removing...
In this paper, we extend the Fisher nonnegative matrix factorization (FNMF) to weighted FNMF (WFNMF). The goal of this technique is to improve the performance of FNMF-based face recognition method under varying expressions, varying illumination, and especially for the case of partial occlusions. An objective function is defined by incorporating weighting into the cost of FNMF decomposition in order...
Because sketches represent the original faces in a much concise yet recognizable form, they play an important role in criminal investigations, human perceptions and biometrics. In this work, we compared the performances of humans and a PCA-based algorithm in recognizing face sketches. A total of 250 sketches of 50 subjects were involved. All sketches were drawn manually by five artists (each artist...
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