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Density estimation can construct an estimate of the probability density function from the observed data. However, such a function may compromise the privacy of individuals. A notable paradigm for offering strong privacy guarantees in data analysis is differential privacy. In this paper, we propose DPGMM, a parametric density estimation algorithm using Gaussian mixtures model (GMM) under differential...
In this paper, a method using the balanced three-phase carrier frequency component signals is presented to estimate the initial rotor position of an interior permanent magnet synchronous motor (IPMSM). Taking advantage of the structural saliency in an IPMSM, the rotor spatial saliency position is expressed as a function of the envelope of the carrier frequency component currents in α-β frame. The...
In order to improve accuracy of estimation for ore reserves and average grade, it is important to select suitable interpolation method. Firstly, traditional inverse distance weighted method is analyzed and grade estimation model is improved. Specifically, irregular ellipsoid interpolation model is put forward, which is suitable for vein thin ore body or layer-like ore body, etc. The new model, based...
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