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In this paper, we present a multi-constraint evolutionary algorithm based scheduler for fuzzy grid job scheduling. A chaotic genetic algorithm (CGA) is proposed to schedule jobs with uncertain operation time and flexible deadline on grid. The uncertainty is modeled by fuzzy set based execution time (FSET) model. Chaos is incorporated into standard genetic algorithm by logistic function, a simple equation...
This paper presents a novel method for feature extraction based on the generalized entropy of the histogram formed by Euclidean distances, which is named distributive entropy of Euclidean distance (DEED in sort). DEED is a nonlinear measure for learning feature space, which provides the congregate and information measure of learning samples space. The ratio of between-class DEED to within-class DEED...
In this paper, we present one entropy partition method and its ideal requirement for partition result, then apply this method in TCM (Traditional Chinese Medicine) data without understanding any expectation of the objectives. We propose the conception of N-class correlation in order to solve the computational problem successfully. The idea of RFS (relatives and friends set) and general filtering are...
Considering the deficiencies of the indexes weight method in present risk evaluation, firstly, a formula of calculating the relative significance of indexes was proposed by using rough set theory and the traditional analytic hierarchy process (AHP) method calculation subjective weight was improved. Then the synthesis optimization process was carried on with entropy value method of the objective weight...
Civilian cryptosystem applies Kerckhoff's law to have security dependency 100% on the password secrecy. This reflects the fact that key length and key space are very important to ensure enough entropy or randomness for securing a cryptosystem. For stronger password, passphrase is suggested. Currently, there are three methods to generate passphrase: acronym, full sentence and diceware. Here, we propose...
A novel two dimensional entropic image segmentation method is presented in this paper The method makes use of a new entropy function defined in a simple form, which can reduce computational amount notably. And the correctness of the new function is also proved. Then a strategy of mutative scale chaos optimization is adopted to search for the optimal threshold. The results of simulation illustrate...
In this paper we address the problem of design a wavelet lossy image coder that allows edge and texture preserving using a modified version of SPIHT coder. First, we obtain the edge map of an input image by means of the SUSAN edge detector. Second, a reversible wavelet transform is made. Third, the coordinates of edges or textures are mapped to the correspondent position in the wavelet domain. Finally,...
It's significant to convert a planar image into a stereo one. In this paper we used a method which needs to segment an image into sub-blocks to realize this kind of conversion; parameters such as random variables were used to control the procedure. We presented two quantitative criterions, cross-entropy and root-mean-square error, to evaluate the stereo effect. Furthermore, the stereo effect that...
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