In this research, a low temperature in-field 57Fe Mössbauer spectroscopy is used for investigation of anomalous magnetic properties of MnZn nanoferrite. Based on Mössbauer spectroscopy results, the reduced saturation magnetization of MnZn nanoferrite in respect to that of bulk sample is due to nonequilibrium cation distribution and spin disorder. The enhanced Curie temperature of MnZn nanofer...

This paper studies identi cation and estimation of rst-price auctions, without assuming that the bidders have correct beliefs about the distribution of valuations. Identi cation is achieved through an exclusion restriction and a common support assumption for the belief and the valuation distribution. The identi cation result yields a closed form for the inverse bid function, which suggests two-...

We herein report on the effect that water molecules, present as impurities, in the vicinity of an ionic liquid model structure, may induce on the Lewis acidity/basicity patterns normally observed in these materials. Depending on the position and orientation of water, the Lewis acidity/basicity pattern changes from "normal distribution" (i.e., the basicity located at the anion moiety and the aci...

The power generation of solar photovoltaic (PV) technology is being implemented in every nation worldwide due to its environmentally clean characteristics. Therefore, PV signi?cantly growing the present applications and usage systems. Despite strength arrays systems, remain susceptible certain faults. An effective supply requires economic returns, security equipment humans, precise fault identi...

An algorithm for supervised classi cation using vector quantization and entropy coding is presented. The classi cation rule is formed from a set of training data f(Xi; Yi)g n i=1, which are independent samples from a joint distribution PXY . Based on the principle of Minimum Description Length (MDL), a statistical model that approximates the distribution PXY ought to enable e cient coding of X ...

In this paper, an algorithm is developed for segmenting document images into four classes: background, photograph, text, and graph. Features used for classi cation are based on the distribution patterns of wavelet coe cients in high frequency bands. Two important attributes of the algorithm are its multiscale nature|it classi es an image at di erent resolutions adaptively, enabling accurate cla...