Application dating dark Moldovasex

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Lights of the room are switched off only if there is no person inside.Though a number of systems have been developed in this field but most of them are not practically applicable due to outdated technology.In this paper, an application of artificial neural network (ANN) using bayesian regularization (BR) learning algorithm based on multilayer perceptron (MLP) model is presented for computing the operating frequency of C-shaped patch antennas (CPAs) in UHF band.Firstly, the operating frequencies of 144 CPAs having varied dimensions and electrical parameters were simulated by the XFDTD software package based on the finite-difference time domain (FDTD) method in order to generate the data set for the training and testing processes of the ANN-BR model.Most of those devices and their applications handle personal, financial, medical and other sensitive data that require security and privacy protection.In this paper we describe one aspect of such protection – user authentication protocol based on the use of X.509 certificates.Moreover, the improved living standards demand developing circuits that would ease the complexity of life.

While the count is decremented if a person leaves the room.In addition to end-user authentication, the described solution also supports the use of X.509 certificates for additional security services – confidentiality, integrity, and non-repudiation of transactions and data in an open network environment.The system uses Application Programming Interfaces (APIs) to access Java cards functions and credentials that can be used as add-ons to enhance any mobile application with security features and services.Then ANN-BR model was built with data set and while 129 simulated CPAs and remaining 15 simulated CPAs were employed for ANN-BR model training and testing respectively.In order to demonstrate its validity and accuracy, the proposed ANN-BR model was also tested over the simulation data given in the literature.

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