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In this paper, we present a method to estimate the special points with the most motion in two neighbor frames. We propose a solution to determine the best illumination of either a static object, and a moving camera, either or a moving object and a static camera with two different issues: maximizing the brightness of the scene and maximizing the contrast in the image. The role of gradient estimation...
Load forecasting is very essential to the operation of electric utility. It is a pre-requisite to economic dispatch of electrical power and enhances the efficiency besides ensuring reliable operation of a power system. Electrical energy demand is highly dependent on various independent variables such as the weather, temperature, holidays, and days in a week. The accuracy of the forecast is important...
In the future Internet of Things devices will generate massive amounts of data that will flow to enterprise systems and provide a timely view on the execution of business processes. Being able to estimate data generated by devices may have significant effects on planning and execution of business applications. We present some methodologies for mining data gathered from devices in the energy domain...
The development of a tuning procedure for standard Kalman filter algorithm based on Q and R matrices duality principle is the main issue of this article. The tuning procedure is based on heuristics that are guided by the influence of Q and R matrices on the Kalman gain selections, as these matrices variations are driven by the QR-duality principle. An analysis of the filter performance is carried...
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