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Dynamic genres where pictures move, sound plays and language comes in changing combinations of speech, song and writing are ubiquitous throughout our lives. Yet the problem as to how we can go about analyzing them in blend with image, movement, sound, music and speech with a view to generating and multiplying the meaning in multimodal videos or communicative events crops up. The paper presents the...
With the continuous development of human resources accounting, the problem of human capital measurement has been more concerned. This paper, proceeding from a property point, and based on achievement of the current income, measures the value of Human Capital.
Based on economic background, the paper introduces a relatively reasonable decomposition method - logarithmic mean Divisia index (LMDI), and decomposes the electricity consumption of industry from 1994 to 2006 into three parts: production effect, structure effect, intensity effect with the LMDI method in order to find out the effect to the electricity consumption. According to the calculation based...
In this paper, by analyzing the deficiency and insufficient of subjects-selection in traditional graduate design, put forward to reform the process of subjects-selection in graduate thesis by application of web, propose an constructive programs of bidirectional subjects-selection system for graduation thesis. Bidirectional subjects-selection system for graduation thesis emphasizes the students-centered...
The application of data mining in the area of control systems provides a perfect solution for the obtaining of the control rules fully and accurately. As author, we have discussed some questions on this distributed data mining tool used in control system in some paper, which include the architecture, Computation pattern, database auto-connection, simple mining mechanism and main function of the distributed...
The application of data mining in the area of control systems provides a perfect solution for the obtaining of the control rules fully and accurately. As author, we have discussed some questions on this distributed data mining tool used in control system in some paper. In this paper, some detail technologies and methods to implement the Metadata warehouse used in that distributed data mining tool...
This paper presents a fault diagnosis method using Support Vector Machines (SVM) and Immune Clonal Selection Algorithm (ICSA). Support Vector Machines (SVM) has been well recognized as a powerful computational tool for nonlinear problems which have high dimensionalities. Whereas the parameters in SVM are usually selected by manpsilas experience, it has hampered the efficiency of SVM in practical application...
This paper synthetically applied immune clonal feature optimized method and minimax probability machine to the intrusion detection. Minimax probability machines (MPMs) is a state-of-the-art classification algorithm and has higher performance than traditional methods. We use fusions of immune clonal algorithm and MPM to enhance the overall performance of MPM. Immune clonal algorithm is used to optimize...
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