Increasing the Accuracy of Electrical Power Measurement

Correlation of direct measurement errors of voltage and current is ignored and assumed to be zero in the measurement of electrical power signals. Therefore, the accuracy of power measurement is obtained less than the accuracy of direct measurements. In this regard, increasing the power measurement accuracy is an urgent task by taking into account correlation of direct measurement errors. A certain methodology is proposed in the paper taking into account the correlation of direct measurement errors, which increases the accuracy of the power signal measurement

Identification and Prediction of Heart Disease Based on the Analysis Electrocardiosignals Using a Neural Network

At the same time image processing as well as the actual calculations combined with a large volume of incoming information in terms of distortion. Artificial Neural Networks has been selected on the basis of networks for research.In this article had heen given application technique of neural network technology.Radial base network was used for the analysis of cardiosignals. Defining of algorithms according to three groups of cardiosignalswere offered: norm signals, bradycardia and tachycardia