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A series of Zinc Oxide Nanoparticles (ZnONPs)-functionalized Multi-Walled Carbon Nanotubes (F-MWCNTs) Nano composites were developed as antibacterial. In this study, chemical oxidation of pristine MWCNTs were carried out with a mixture of strong acids (3H2SO4 98%:1 HNO3 65%).The F-MWCNTs were used as templates to prepare hybrid material like ZnONPs decorated F-MWCNTs. Pristine MWCNTs, F-MWCNTs and (ZnONPs/F-MWCNTs) Nano composites powder were investigated using Fourier Transform Infrared spectroscopy (FTIR) and Scanning Electron Microscopy (SEM). Anti-bacterial activity has been carried out using standard agar dilution (plate count) method against Escherichia coli (E. coli). This study demonstrated that (ZnONPs/F-MWCNTs) Nano composite has a powerful bactericidal effect against Escherichia coli (E. coli) at concentration 0.5 mg/ml after 3 hr, which led to speculation that the combination of ZnONPs and F-MWCNTs altered their toxicity and improved antibacterial property of Nano composite.

Non-Orthogonal Multiple Access (NOMA) has been promised for fifth generation (5G) cellular wireless network that can serve multiple users at same radio resources time, frequency, and code domains with different power levels. In this paper, we present a new simulation compression between a random location of multiple users for Non-Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA) that depend on Successive Interference Cancellation (SIC) and generalized the suggested joint user pairing for NOMA and beyond cellular networks. Cell throughput and Energy Efficiency (EE) are gained are developed for all active NOMA user in suggested model. Simulation results clarify the cell throughput for NOMA gained 7 Mpbs over OMA system in two different scenarios deployed users (3 and 4). We gain an attains Energy Efficiency (EE) among the weak power users and the stronger power users.

The paper substantiates the application of methods of the theory of statistical hypotheses for the tasks of automation of technological processes. The functioning of the process automation system is considered as the management of a complex technical system. The operation of the automation system belongs to the multi-alternative in terms of the theory of statistical hypotheses: two hypotheses of the correct mode and two hypotheses of the erroneous operation of the system. The article provides general expressions for calculating the probabilities of these modes for two statistical models of the controlled parameter of the technological process and standard models of the metrological spread of the measuring channel. In this case, the accuracy class of the measuring channel should be expressed as a reduced error. The simulation of the operating modes of the process automation system is carried out within the framework of the theory of statistical hypotheses. The results of modeling for the normal probability density of the statistical model of the controlled quantity, uniform and triangular statistical models of estimation of the controlled parameter are presented. A program of statistical evaluation of the modes of operation of the automation system has been developed for symmetric and asymmetric statistical models of the spread of the controlled parameter and several models of metrological spread of the evaluation of the technological parameter. The calculation of the a priori probability of the normal functioning of the automation system of the technological process and the calculation of the a priori probability of erroneous operation of the automation system is given. Expressions for calculating a posteriori probability of the results of verification of measuring instruments of automation systems are obtained.

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