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The randomness of the network behaviors poses serious challenges for discovering the abnormal patterns in network traffic flows. This paper presents a method based on blind source separation approach for detecting abnormal traffic flows. It decomposes the network traffic into two components: the routine pattern and the abnormal pattern. The scale-space filter with adaptive scale is applied to filter...
A model of the relationship between the structure of alcohols and their chromatographic retention index has been set by Randic branch index, but the error forecasted was big in many situations because of the complexity and nonlinearity of structure-activity relationship, and it has a high request to the sample selection. A model based on radial basis function (RBF) neural network for determining the...
For the purpose of extracting slope information of farmland spots, this paper introduces how to choose the size of DEM grid according to topographic features. It has designed the method of using weighed mean filtering to process grid slope, which can produce the slope level map that is more suitable for farmland slope extraction. According to the problem that after overlaying slope map and farmland...
The theory of rough set, raised by Polish scholar Z.Pawlak, is used as a mathematical tool that dealt with the probabilistic and fuzzy objects, takes on the function of simulating human preventative thinking. This text pass combining the rough set theory with TOPSIS method, and used in the process of desulfuration projects decision evaluation, through the analysis and research could be found that...
In order to eliminate the musical noise remained in the results enhanced by short-time spectral attenuation techniques, this paper proposes a novel a priori SNR estimator. The proposed estimator is built on Burg-based power spectral estimation, which takes into account the properties in estimator of smoothness, accuracy and resolution, with the emphasis on their relationships and influences on de-noising...
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