The Clouds and the Earth’s Radiant Energy System (CERES) generates one of the few global satellite radiation products. The CERES ARM Validation Experiment (CAVE) has been providing long-term in situ observations for the validation of the CERES products. However, the number of these sites is low and their distribution is globally sparse, and particularly the surface net radiation product has not...

the present study was carried out to evaluate three interpolation methods including weighted moving average (wma) with the power of 2 and 3, kriging and cokriging methods. data of 23 wells in mazandaran province were collected in fall and spring 2006. seven parameters including electrical conductivity (ec), ph, total dissolved solids (tds), sodium adsorption ratio (sar), total hardness (th), ch...

We evaluate and compare several forecasting techniques using no exogenous inputs for predicting the solar power output of a 1 MWp, single-axis tracking, photovoltaic power plant operating in Merced, California. The production data used in this work corresponds to hourly averaged power collected from November 2009 to August 2011. Data prior to January 2011 is used to train the several forecastin...

This paper describes how the multilayer perceptron neural network (MLPNN) trained by Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-newton back-propagation approach was used to estimate heavy metal concentrations: Aluminum (Al), Lead (Pb), Copper (Cu), and Iron (Fe), in province of Taza using sixteen physicochemical factors measured from 100 samples collected surface water sources our team, acco...

A new multiuser detection scheme is proposed which employs the adaptive minimum mean square error (MMSE) detection in combination with the successive interference cancellation. Through the theoretical analysis and the numerical examples, it is shown that the proposed detector provides a superior performance to the existing ones in terms of the asymptotic multiuser efficiency (AME) and the bit e...

In this article, the author reviews the P value and how it is used to determine true difference of outcome in treatment groups. P value, standard deviation, standard error of the mean, bias, and confidence interval are discussed in common language, with a minimum of jargon and with clinical examples.