Simple expressions allowing estimation of the turbulent density perturbation from the reflectometry phase root mean square (r.m.s.) measurements and accounting for the turbulence correlation length are given. The numerical procedure for precise turbulence radial profile reconstruction for different turbulence wave number spectra and both O-mode and X-mode reflectometry is proposed. It is valida...

The animation or capture of a virtual character’s hands is a complicated task, mostly due to the high number of degrees of freedom involved. However, the movements of different digits are often correlated with each other. In this paper we use Root Mean Square (RMS) deviations as a distance metric to analyse the correlations between different degrees of freedom of hands. Using the findings of ou...

The high-degree Earth Gravitational Model EGM08 allows for geoid determination with a resolution of the order of 5'. Using this model for estimating the quasigeoid height, we estimate the global root mean square (rms) commission error to 5 and 11 cm, based on the assumptions that terrestrial gravity contributes to the model with an rms standard error of 5 mGal and correlation length 0.01◦ and 0...

Intermittency of electrical power in developing countries, as well some European countries such Turkey, can be eluded by taking advantage solar energy. Correct prediction radiation constitutes a very important step to take PV panels. We propose an experimental study predict the amount using classical artificial neural network (ANN) and deep learning methods. panel data were collected at Duzce U...

modeling and forecasting the volatility of tehran exchange dividend price index (tedpix) the present research, analyses the forecasting performance of a variety of conditional and non-conditional models of tedpix volatility at the daily frequencies performance criterion namely the root mean square error (rmse). under rmse, results show ma250 and cgarch models had better performance between non ...

energy management is one of the main ways of the efficient use of energy resources. the prediction of crop yields based on energy inputs can help farmers and policymakers to estimate the level of production. required data for study were randomly collected from 70 broiler farms in north west of iran. the input energies were included human labour, machinery, fuel, feed and electricity and the out...

spatial autocorrelation (sa) is the correlations of the observed data of an area in the form of spatial pattern. the criterion of sa phenomenon occurrence is when the distribution of one observed variable value follows a particular pattern systematically. the sa analysis is most useful and an important tool for investigating the spatial database, this analysis not only itself gives useful infor...

Structural breaks and existence of outliers in time series variables results in misleading forecasts. We forecast wheat and rice prices by capturing the exogenous breaks and outliers using Automatic modeling. The procedure identifies the outliers as the observations with large residuals. The suggested model is compared on the basis of Root Mean Square Error (RMSE) and Mean Absolute Percentage E...

Evapotranspiration (ET) is an important part of surface–atmosphere interactions, connecting the transfer matter and energy. Land surface heterogeneity a natural attribute Earth’s inevitable problem in calculating ET with coarse resolution remote sensing data, which results significant error estimation. This study aims to explore effect applicability evaporative fraction area (EFAF) method for c...