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Motion estimation (ME) plays an important role in most video coding standards since it can improve the coding performance significantly. Block matching ME (BMME) based on translation motion model is employed in both H.264/Advanced Video Coding and High Efficiency Video Coding (HEVC), which assumes that all the pixels in a block undergo the same motion. However, BMME cannot represent the complex motion...
Urban saturation load is the key index to determine the final scale of power grid development in urban power network planning. The research on urban power load forecasting has important guiding significance and practical value for the construction and planning of urban power network in the future. In this paper, a new method based on the saturated load density was proposed for the prediction of urban...
Inter prediction plays an important role in most video encoding systems since it could significantly improve coding performance. The more accurate the prediction of the current block, the smaller the residual, and the higher coding efficiency could be achieved accordingly. In this paper, a localized weighted prediction method is proposed to improve inter prediction accuracy. The linear regression...
With the emergence of energy crisis and environmental pollution, the large scale photovoltaic power systems have been widely applied. However, the output power of photovoltaic power system has the property of uncertainties. In order to lighten the adverse influence for power grid, this paper attempts a method based on Grey combination model to forecast the short-term power output of a PV power system...
Radial basis function (RBF) neural network is used to predict the blast furnace hot metal based on its characteristics such as fast convergence and global optimization. As hot metal silicon content had close relationship with furnace temperature, the change of temperature in furnace was reflected indirectly by hot metal silicon content. Newrbe function in Matlab was applied for function approximation...
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