The methodological basis of the coherent compensation method application of narrow-band interference for measuring the characteristics of electrical signals and physical quantities is considered.
This study is devoted to estimating the allowable angular separation between devices operating in ultra-dense radio access networks in the millimeter frequency range, for the subsequent formation of a three-dimensional radiation pattern with optimal characteristics by the base station antenna array. The content of this work can be divided into two parts. In the first part of this work, a mathematical formalization of the number of radio emission sources estimation and their angular coordinates is given. Based on the presented mathematical model and the developed simulation program, in the second part of the work, the study and determination of the accuracy characteristics of the angular separation of devices depending on interference in the scenario of diagram formation of ultra-dense radio access networks when devices use the combined azimuth and elevation measurement algorithm are carried out.
When studying social processes, it is of great interest to predict the behavior of society or its individual components. At present, methods of mathematical modeling and corresponding mathematical models are being actively developed for this purpose. The purpose of the work is to build a mathematical model of the competitive struggle of two ideologies taking into account the spontaneous and forced transitions of individuals between ideologies, to analyze the resulting model to determine the scenarios for the development of ideologies, иand also to find the conditions under which this or that scenario is realized. Methods. In this paper, parametric studies of the development of ideologies over time are carried out for various values of the model parameters. To determine the conditions for the existence of different scenarios for the development of ideologies the stability of the model is studied. Results. A model of the competitive struggle of two ideologies is proposed taking into account spontaneous and forced transitions of individuals between ideologies. In the considered model all ideologies eventually come to stable stationary states. It is shown that the development of ideologies can occur only according to three scenarios: (A) both ideologies survive and coexist; (B) both ideologies die out, and (C) one of the ideologies survives while the other dies out. The conditions for the existence of each of the scenarios for the development of ideologies are determined. Conclusion. Despite the fact that the real system under consideration is discrete with a large number of elements (adherents of ideologies) a transition to a continuous model is possible. The equations obtained in the considered model are the modified LotkaVolterra equations. The analysis of the model made it possible to derive criteria for the existence of various scenarios for the behavior of ideologies, to determine the boundaries by the parameters of the model that separate the scenarios for the development of ideologies. Unlike similar works this work takes into account spontaneous and forced transitions between ideologies including those due to internal conflicts. The constructed model can be used to analyze electoral processes, predict the emergence and development of terrorist groups, various religious communities, etc.
This paper presents an overview of modern types of signal manipulation such as hierarchical quadrature amplitude modulation (HQAM), circular quadrature amplitude modulation (CQAM) and parametric quadrature amplitude modulation (θ-QAM). Then follows the modeling of the above-mentioned types of modulations and quadrature amplitude modulation (QAM) using the MATLAB programming language. To compare the four selected types of modulation two types of modulation order are used: 16 and 64. To evaluate the effectiveness of using one or another type of modulation a communication channel was modeled to which additive white Gaussian noise (AWGN), Doppler frequency distortion and inaccurate frame synchronization were added.
Based on the trends in the development of Russian higher education and the innovative development of the Russian Federation the concept of assessing the innovative potential of the faculty and scientific staff of higher educational institutions developments is proposed. The functions and divisions of the innovation creation and support office are described as well as the scheme of interaction of the office with the centers of regional support for small businesses and acceleration programs of federate entities. The article describes in detail the actions of the information - analytical center for the process of innovations examination created in higher educational institution in the course of intellectual or contractual activities and the center for supporting innovations in the process of intellectual activity results commercialization through the creation of small тinnovative enterprises, joint ventures or the sale of intellectual activity object. A detailed description of the two directions of development in the examination of innovation including the financial analysis of innovation, the analysis of manufacturability and commercializability is given. Recommendations on the organization of the processes of expertise and commercialization of innovations are given.
One of the features of the mobile data network operators is the need for continuous monitoring and maintenance of equipment and communication channels. The equipment failures that sometimes occur increase the cost of operation and reduce customer loyalty. The ability to predict network malfunctions in advance would be a great solution for mobile operators. The paper discusses the issue of preliminary data preparation of 4G+ mobile network for further use in the development of a neural network model for predicting malfunctions. The results of the analysis of the collected data are presented, the characteristics, composition and data structure that may affect the training of the neural network model later are shown.
This paper presents an analysis of algorithms and approaches used to solve the problem of identifying insider threats using machine learning techniques. Internal threat detection in the context of this research is reduced to the task of detecting anomalies in the audit logs of access subjects' actions. The paper formalizes the main directions of insider threats detection and presents popular machine learning algorithms. The paper raises the problem of objective evaluation of research and development in the subject area. Based on the analysis recommendations for the implementation of internal threat detection systems using machine learning algorithms are developed.
A model has been developed to explain the dependence of the surface resistance of printed conductive graphene plates on their surface resistance. The model assumes that the printed conductive graphene plate is layered. The simulation results are compared with the experimental results obtained by the authors. The plates were printed with two types of ink: 1 -graphene ink. 2- graphene ink with polymer additives. The reliability of the approximation of experimental data on the surface conductivity of plates printed by the first and the second types is no worse than 99.5% and 98.5%. respectively. The model made it possible to estimate the effective thickness of graphene printed layers forming a conductive graphene plate. The mechanism of layer conduction is considered.
