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Data mining has been well-studied in academia and widely applied to many fields. As a significant mining means, clustering algorithm has been successfully used in facility location, image categorization and bioinformatics. K-means and affinity propagation (AP) are two effective clustering algorithms, in which the former has involved in privacy preserving data mining, but the latter does not. Considering...
Min-Max Modular Support Vector Machines (M3-SVM) is a well-known ensemble learning method. One of key problems for M3-SVM is to find a quick and effective method for data partition. This paper presents a new data partitioning method-BEK, which is based on the Bisecting K-means clustering with equalization function. BEK generally can get global optimal solution with low time complexity, and more importantly,...
Based on the assumption that flow pattern in tube settlers is laminar and the distribution of flow velocity is a circumgyratetional paraboloid, general hydraulic equations are deduced, with consideration of the effectors of acceleration a and initial fall velocity u0i of setting particles, and length li, counting radius ri, and obliquity of circular settling tubers. Comparison with other equations...
When disaster happens, it is necessary to employ efficient and accurate methods to select the best service from many service backed sites to control DR (Disaster Recovery) activities. Aim at the service deployment algorithm is not suit for MultiObjective DR of policy and target distinct. This paper presents a novel algorithm MOGOSD (MultiObjective Global Optimal Service Deployment) to resolve service...
To measure the correlation between two arbitrary Boolean functions, we propose the two new criteria called the sum-of-squares indicator and the absolute indicator of the cross-correlation. The two indicators generalize the GAC criterion (which was proposed by X.M. Zhang and Y.L. Zheng, in GAC-the criterion for global avalanche characteristics of cryptographic functions, Journal for Universal Computer...
Abundant leaves and kernel hulls of Tea-oil tree (Camellia oleifera) are still underutilized and wastefully abandoned to pollute environment. In order to solve this problem and better utilize the leaves and kernel hulls of C. oleifera, we used GC/MS technology to analyze the top value-added bioactive constituents of their benzene/ethanol extractives. After treated with freeze-drying, the fresh leaves...
The production of noble Eucalyptus oil from Eucalyptus leaves brings a mass of extracting wastewater pollutive to water environment. In order to better utilize and recover the productive wastewater from the Eucalyptus oil, we used pyrolysis-GC/MS to analyze the possible top value-added components of benzene/ethanol extractives of leaves of two Eucalyptus cultivars, i.e. E.dunnii and E.grandis. Relative...
The process of coal powder burning in the boiler is a complex and unstable suspended combustion process, so the flame image segmentation and tracking are quite difficult. In this paper, a flame image automatic threshold segmentation and tracking algorithm based on YCbCr space is proposed. The proposed algorithm uses YCbCr color space to separate the luminance from the chrominance more effectively...
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