Abstract In this paper, we have studied the stochastic radiation nature and its impact on 2 D localization of narrow band electromagnetic source. We have used the artificial neural networks (ANN) to do it. We have conducted tests with 2D direction of arrival (DoA) determination of electromagnetic signals. This process has caused the changes in the parallel plane to the 2D antenna... In this paper, we have studied the stochastic radiation nature and its impact on 2 D localization of narrow band electromagnetic source. We have used the artificial neural networks (ANN) to do it. We have conducted tests with 2D direction of arrival (DoA) determination of electromagnetic signals. This process has caused the changes in the parallel plane to the 2D antenna array level. The training model is developed for deriving the sampling of spatial correlation matrix for which the antenna array is useful. Read More Read Less

Abstract We have introduced a method for measuring the statistical characteristics of the optimal divergence of the laser beam at free space optics systems. Using the various weather conditions, we have estimated the probability density function of the meteorological visibility through the use of statistical materials. We then measure the metrorological visibility with the optimal divergence of the laser beam with... We have introduced a method for measuring the statistical characteristics of the optimal divergence of the laser beam at free space optics systems. Using the various weather conditions, we have estimated the probability density function of the meteorological visibility through the use of statistical materials. We then measure the metrorological visibility with the optimal divergence of the laser beam with a deterministic relationship. By using the spectral dependence, we have advocated a simplified model for calculating the volume of coefficient of the atmospheric extinction. Read More Read Less

Abstract We are in a state for providing reliable and correct switch models for which we propose MEMS switch applications. We have used the artificial neural networks to develop the model where we have used the lateral dimensions of the switch bridge and the Sparameters. The proposed system permits the speedy processing of Sparameters behavior, for which a shorter time is... We are in a state for providing reliable and correct switch models for which we propose MEMS switch applications. We have used the artificial neural networks to develop the model where we have used the lateral dimensions of the switch bridge and the Sparameters. The proposed system permits the speedy processing of Sparameters behavior, for which a shorter time is needed and also to do operations. The goal of this work is to analyse the switch return loss changes with small the changes of the bridge dimensions. We have performed the experiments to analyse it and describe the suggestions for better switch optimization. Read More Read Less