We describe an image processing methodology using Total Sky Imagers (TSIs) to generate short-term forecasts of Direct Normal Irradiance (DNI) at the ground level. Specifically, we are interested in forecasting 1-min averaged DNI values for time horizons varying from 3 to 15 min. This work describes several sky image processing techniques relevant to solar forecasting, including velocity field c...

Carbon fiber fabrics are important engineering materials. However, it is confusing to classify different carbon fiber fabrics, leading to risks in engineering processes. Here, a classification method for four types of carbon fiber fabrics is proposed using artificial neural networks (ANNs) and support vector machine (SVM) based on 229 experimental data groups. Sample width, breaking strength an...

in this research, solar drying of a thin layer of tomato slices was evaluated. the experiments were carried out at the air velocities of 0.5 and 1.0 m s-1 and thicknesses of 3, 5 and 7 mm. in order to find the most suitable form of thin layer drying model, nine different mathematical drying models were fitted to the experimental data to determine the pertinent coefficients of each model. the go...

This paper provides an extension of pathloss analysis in Urban, Rural and Semi-Urban environments in Oman. A new software package has been developed that incorporates modified propagation models and the proposition of radio frequency (RF) network design output for proper and efficient planning to be used by RF engineers for pathloss studies. The root-mean square error (RMSE) was calculated betw...

Protein-protein interactions (PPIs) play various important roles in living organisms. Hence, many efforts have been made to investigate and predict PPIs. Analysis of strengths of PPIs is important as well as PPIs because such strengths are involved in functionality of proteins. In this paper, we propose several feature space mappings from protein pairs, which make use of protein domain informat...

To seek optimal network parameters of Radial Basis Function (RBF) Neural Network and improve the accuracy of this method on estimation of soil property space, this study utilizes genetic algorithm to optimize three network parameters of RBF Neural Network including the number of hidden layer nodes, expansion speed and root-mean-square error. Then, based on optimized RBF Neural Network, spatial ...

Multi focus image fusion is the area of image fusion techniques in which effect due to limitation of depth of focus of various camera systems is considered. This paper presents a quantitative analysis of some available image fusion algorithm on multi focus images. A statistical comparison to analyze the quality of fused image Root Mean Square Error (RMSE) and Special Frequency (SF) has been tak...

Image restoration is to improve the quality of a digital image which has been degraded due to various phenomena like blur, noise. An image with uniform motion blur and Poisson noise is considered. Images acquired at different exposure times are obtained and SNR values for each image are calculated. The blurred and noisy images are restored using the pseudo-inverse filter and SNR values are calc...

Soil roughness is a very important parameter affecting radar backscattering coefficient. This paper wants to introduce a new method to retrieve the combined roughness parameter 2 / Zs s l = on the condition of rough surface. To achieve this goal, two experiments are conducted: (1) Advanced Integral Equation Model (AIEM) is used to simulate backscattering coefficients; and (2) a new algorithm to...

The article contains data pertaining to the reconstruction of an 8-lead ECG from 2 subcutaneous implantable cardioverter defibrillator vectors. The location of electrodes on the precordium required for the data collection are detailed; the flow chart for patient selection and exclusion is shown; the summary data of the root mean square error (RMSE) (in microvolts) and Pearson r for the ECG tran...