In This paper, the effect of size on melting temperature of metallic nanoparticles (Au, Pb and Bi) is theoretically simulated and explained. In this regard, the cause of difference in various experimental data is introduced, which is the difference between nanoparticles’ grain Gaussian distribution. This volume-depended model with the help of the Gaussian distribution can descri...

Sharp-interface models and diffuse-interface are the two basic types of that describe liquid-vapour flow for compressible fluids. Their depictions line dividing liquid from vapour different. The interface is modeled as a hypersurface in sharp-interface models. free-boundary problems mathematical perspective since position priori unknown therefore component solution to problem. A unique system p...

diagnosis of corneal diseases is possible by measuring and evaluation of corneal thickness in different layers. thus, the need for precise segmentation of corneal layer boundaries is inevitable. obviously, manual segmentation is time‑consuming and imprecise. in this paper, the gaussian mixture model (gmm) is used for automatic segmentation of three clinically important corneal boundaries on opt...

this research has been carried out to study and find a rather general description for a lone pairorbital in molecules. since the orbital parameters must be manageable in advance, and correctgeometry of the molecule (bond lengths) is depend on the appropriate lone pair description; thefsgo method including optimization has been used to obtain orbital parameters and energy. theproposed models for...

gamma-rays emitted from the ground surface relate to the primary mineralogy and geochemistryof the bedrock, and the secondary weathered materials. this information can contribute significantly to anunderstanding of the geochemical and pedogenetic history of a region. the main aim of this paper was to study the relationship between ground gamma-ray data and basement geochemistry in the lese catc...

the mel frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. in this paper to achieve a satisfactorily performance in automatic speech recognition (asr) applications we introduce a noise robust new set of mfcc vector estimated through following steps. first, spectral mean normalization is a pre-processing which applies to t...

in a voice conversion system speech signal of a speaker (i.e. source speaker) is modified so that it sounds as if it had been pronounced by b speaker (i.e. target speaker). this process, sometimes, is called speaker conversion (changing speaker identity). achieved signal from speaker conversion system is desired to have high quality and very natural. to satisfy this, three major methods are pro...