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— With the opening of the power industry to competition , the power system structure is changing. According to these changes, power system operation, planning, and control need modifications. Under this deregulated power market, generation companies (GENCOs) can schedule their generators to maximize their own profit without accurately satisfying system(More)
In this paper, a method based on local feature bidirectional two-dimensional principal component analysis is proposed for facial expression recognition. First of all, a facial expressional image is divided into three separate sub-blocks, from the horizontal and vertical directions we utilize bidirectional 2DPCA to extract local feature of each sub-block. To(More)
—This paper presents an innovative method to evaluate the credibility of network connections based on neural network with back propagation (BP) network model and Levenberg-Marquardt (LM) optimization algorithm. In it, the second-level index values are taken as input and expected evaluation values as output, based on which, L test samples are used to test(More)
A method of feature block two-dimensional principal component analysis (FB2DPCA) and multi-classifier combination is proposed for facial expression recognition. First, FB2DPCA is applied to extract human facial expression features, and then the expression classified result is obtained based on multi-classifier fusion with fuzzy integral. This proposed(More)
In Situ Gaseous Reduction (ISGR) using hydrogen sulfide (H2S) is a technology developed for soil remediation by reductive immobilization of contaminants such as hexavalent chromium (Cr(VI)). Deploying the technology requires us to obtain a much-improved understanding of the interactions among the contaminants, H2S, and various soil components. In this(More)
Small drinking water treatment systems (serving <10,000 population) in rural communities frequently encounter multiple challenges in water quality and federal regulatory compliance, especially the disinfection byproduct (DBP) regulations, due to source water variations, limited resources, and aging infrastructures. Unlike most studies on the DBP control(More)
This study used solid-state nuclear magnetic resonance techniques to characterize the chemical compositions of DOM from various sources and thereby explore the linkages of river DOM to its potential point and nonpoint sources. DOM samples were isolated from two streams draining watersheds of different land uses, landfill leachates of two ages, sequential(More)
Codebook of conventional VQ cannot be generally used and needs real time onboard updating, which is hard to implement in spaceborne SAR system. In order to solve this problem, this paper analyses the characteristic of space-borne SAR raw data firstly, and then utilizes the distortion function of multidimensional space as criterion, and finally the adaptive(More)
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