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Similar to previous video coding standards, transform and quantization are used in the most recent video coding standard High Efficiency Video Coding (HEVC) and a large number of transform coefficients are quantized to zeros. In order to reduce the computations involved in transform and quantization in HEVC, a prediction approach based on Gaussian model is proposed to predict zero quantized transform...
As one of the important economic provinces in China, Shandong province plays an important role in energy production and energy consumption. Based on the revised time-series data of the energy production and supply in 1985-2009 in Shandong province, this study has established a grey forecasting model GM (1, 1) and made the accuracy checking for it. Smoothing test and exponential test are employed here...
To forecast land use change is important for land use management, With the development And improvement of the society, to use the land resource reasonably and effectively has become more and more important Data collection and integrate analysis are important to forecast land use change. so, model of land use change be built by using mathematics, which can be joined GIS. By this way, it cans quantificational...
Micro combustion chamber is the core part of the MTPV power system. But the size of the combustor always is determined by the experience. In the article, we attempt to predict the size of Micro combustion chamber according to the temperature distribution trend of wall with GM (1, 1) model of the grey theory system. Conversion efficiency map of GaAs photoelectric element is forecast feasible condition...
Combustors are core parts of the Micro-thermo photovoltaic System (MTPV), and their operation process has a significant influence on energy conversion efficiency of the whole system. Introduction of the grey system theory quantifies the tube length and selection point of internal sudden step in the combustor in MTPV system, optimizing the conversion efficiency of the whole system and providing a basis...
Various attribute and relation information is used in social recommendation systems. However, previous approaches fail to use them in a unified way. In this paper, we propose a unified framework for social recommendation. Entities like users and items are described by their tags. We model each entity using topic models like Latent Dirichlet Allocation(LDA) and then connect these topic models to form...
Feature selection for spectral data can be highly beneficial both to improve the predictive ability of the model and to greatly enhance its interpretation. This paper presents an efficient approach based on regularized orthogonal forward selection. The selection procedure is a direct optimization of model generalization capability by sequentially minimizing the leave-one-out (LOO) test error. Moreover,...
Equal Salt Deposit Density (ESDD) is a main factor to classify contamination severity and draw pollution distribution map. To cope with the problems existing in the ESDD predicting by multivariate linear regression (MLR), back propagation (BP) neural network and least squares support vector machines (LSSVM), a nonlinear combination forecasting model based on wavelet neural network (WNN) for ESDD is...
Immune algorithms (IAs) are microscopic view of evolutionary algorithms (EAs) and applied in combinatorial optimization problems. This paper addresses to a clonal selection algorithm (CSA) that is one of the most representative IA and was applied into the protein structure prediction (PSP) on AB off-lattice model, in which the memory B cells of the CSA was innovated by employing different strategies:...
Wavelet neural network (WNN) is a feed-forward neural network which is based on wavelet transform. The network overcomes the intrinsic shortcomings of artificial neural network, namely, slow learning speed, difficulty to determine rationally the network structure and existence of partial minimum points. Hence, WNN has more freedom degree and better adaptability than traditional multi-layer feed-forward...
According to the data provided by "Optical Sensor System for the ESDD Monitoring of Transmission Equipment", an intellectual prediction model based on least squares support vector machines (LS-SVM) is built, whose input variables are temperature (T), relative humidity (H), wind velocity (WV), air pressure (P) and rainfall(R), and output variable is equal salt deposit density (ESDD). In this...
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