Кафедра інформаційно-мережної інженерії (ІМІ)
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Перегляд Кафедра інформаційно-мережної інженерії (ІМІ) за автором "Bezruk, V. M."
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Публікація Choice of preferred telecommunications means on the basis of the hierarchy analysis method(ХНУРЕ, 2014) Bezruk, V. M.It identifies the need for multiobjective optimization methods in selecting optimal design solutions from the set of feasible options. Problem solving multiobjective optimization is to find, in general, not one, but a set of Pareto-optimal solutions that can be used in the design. Often for further stages of creating Infocomm need to select only a draft version of telecommunication means. The report proposes to select the only draft version of telecommunication means used hierarchy analysis method (MAH).Публікація Methods of Signal Detection and Recognition in Cognitive Radio Networks(Springer, Cham, 2021) Bezruk, V. M.; Ivanenko, S.; Fedorov, O.The paper employs techniques of signal detection and recognition to perform spectrum sensing in cognitive radio networks. The main focus is on extensive use of signal recognition techniques, which is not the case yet in the context of cognitive radio networks. In particular, the use of unconventional methods of signal recognition allows us to not only divide received signals into classes of those which belong to primary or secondary users but, additionally, register appearance of new, uncategorized, sources of radiation. As a consequence, all considered in the paper procedures may be employed by the local frequency control authorities to monitor radio frequency resource utilization. Performance analysis of presented in the paper algorithms for signal selection and recognition is performed by the method of Monte-Carlo.Публікація Model Discrete Wavelet Transform for Clinical IoT Data and Device Interoperability(IEEE, 2022) Bezruk, V. M.; Krivenko, S. A.; Samochernov, M. B.; Kryvenko, L. S.; Krivenko, S. S.The structure of a Haar Transform dataset has been examined by using pandas for machine learning aims. Statistics have been viewed with pandas and Matplotlib. Correlation between features in a dataset has been improved ten times with Model Discrete Wavelet TransformПублікація Multi-criteria choice of the preferred type of mobile phone by the analytic hierarchy process(ХНУРЕ, 2015) Bezruk, V. M.The theoretical and practical aspects of applying the analytic hierarchy process to choose the preferred type of mobile phone based on combination technical and economic parameters of quality and expert judgment.Публікація Multi-criteria selection of optimum means of telecommunications(Lviv-Slavske, 2016) Bezruk, V. M.The theoretical and practical aspects of finding a subset of the Pareto-optimal means of telecommunication variants and narrowing to only a subset of the Pareto preferred variant, based on the analytic hierarchy process is done.Публікація Multi-Criteria Selection of the Preferred Protocol of Routing in Ad-Hoc Networks by Hierarchies Analysis Method(IJSR, 2019) Безрук, В. М.; Семенець, В. В.; Yu Zheng; Guo Qiang; Kovshar, V.; Semenets, V. V.; Bezruk, V. M.Wireless ad-hoc networks are mobile decentralized dynamic self-organizing networks that do not have a fixed structure. This technology of building a wireless network is relevant in situations where you need to quickly deploy a network in a territory with mobile nodes. This article discusses the features of applying the hierarchy analysis method for multi-criteria selection of the preferred routing protocol in ad-hoc networks from a number of options.Публікація Multicriterial choice of telecommunications means using hierarchical analisis metod(National Technical University of Ukraine “Kyiv Polytechnic Institute”, 2015) Bezruk, V. M.Theoretical and practical aspects of choosing the preferable version of telecommunications means taking into account the totality of quality indices and experts’ judgments based on hierarchical analysis method are considered.Публікація Optimization and mathematical modeling of communication networks(PC «Technology Center», 2019) Bezruk, V. M.; Семенець, В. В.; Chebotarova, D. V.; Kaliuzhniy, N. M.; Guo Qiang; Zheng YuThe main attention is paid to optimization issues, as well as mathematical modeling of systems that are important for the initial stages of the design of communication networks. Examples of solving scalar and vector optimization problems are given taking into account mathematical models of various types of communication networks. Information is given about standard sofware packages that can be used for optimization and computer simulation of communication networks.Публікація Optimization of Speech Codecs on Set of Indicators of Quality(TCSET 2010, 2010) Bezruk, V. M.In article theoretical and practical features of application of methods multicriteria optimization for a choice of optimum speech codecs taking into account set of indicators of quality are consideredПублікація Selection and recognition of the specified radio emissions based on the autoregression signal model(Radio Electronics, Computer Science, Control, 2020) Bezruk, V. M.; Kaliuznyi, N. М.; Nikolaev, I. М.; Qiang Guo; Zheng YuContext. A solution to the relevance problem of selecting and recognizing specified radio emissions in the presence of unknown radio emissions in automated radio monitoring is considered. It is proposed to solve the problem in an unconventional method for the recognition of statistically specified random signals in the presence of a class of unknown signals. Objective. The goal of the work is іnvestigation of the possibility of using random signal recognition methods in conditions of increased a priori uncertainty to solve the problem. The features of the signal recognition method are discussed, as well as the results of a study of the recognition quality indicators of given radio emissions, which are obtained by statistical modeling on samples of the corresponding signals. Method. The recognition method is based on the description of signals by a probabilistic model in the form of Gaussian autoregressive processes. It is proposed to use the new decision rule for the selection and recognition of statistically specified signals in the presence of unknown signals class. The proposed method of signal selection and recognition can be implemented in a recognition system that operates in training and recognition modes. In the training mode, unknown parameters of the decision rule are evaluated by classified samples of the given signals. Results. Research conducted by statistical tests on samples of the corresponding signals characteristic of automated radio monitoring of radio communications equipment. Practical results of studies of the problem of selection and recognition of specified radio emissions are presented. Values of indicators of quality of radio emissions recognition acceptable for the practice of radio monitoring are obtained. The dependences of quality indicators on some conditions and recognition parameters are investigated. Conclusions. Undertaken studies showed possibility of decision of problem by application of an unconventional method of selection and recognition of specified random signals. The practical significance lies in obtaining recommendations on the construction of systems for the recognition of radio emissions for specialists in the design of automated radio monitoring complexes. Such signal recognition systems are implemented by computer technology and is adaptive. The structure and parameters of the systems are set according to the samples of signals that are obtained for the corresponding given radio emissions.