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Документ Mathematical model of rhythmocardiosignal in vector view of stationary and stationary-related case sequences(Національний технічний університет "Харківський політехнічний інститут", 2020) Lytvynenko, Iaroslav; Lupenko, Serhii; Onyskiv, Petro; Trysnyuk, Vasyl; Zozulia, AndriyThe paper deals with the substantiation of the mathematical model of rhythmocardiogram with high resolution in the form of a vector of stationary and stationary related random processes. The structure of probabilistic characteristics of this model for analysis of cardiac rhythm in modern cardiodiagnostic systems is investigated. Analysis ofthe heart rhythm makes it possible to evaluate not only the state of the cardiovascular system, but also the state of the adaptive capacity of the whole human body. Most modern systems of automated heart rate analysis are based on statistical analysis by a rhythmocardiogram, which is an ordered set of durations of R-R intervals in a registered electrocardiogram. be able to explore its temporal dynamics. To take into account the temporal dynamics of the rhythmocardiogram with high resolution, it is necessary to use a mathematical apparatus of the theory of random sequences, namely, to consider it as a vector of discrete random sequences. The purpose of this work is to solve the scientific and practical task of creating a mathematical model of rhythmocardiogram with high resolution in the form of a vector of stationary and stationary related random processes. The object of the study is information technology for the diagnosis and assessment of the status of the rhythmocardiogram to analyze the heart rhythm in modern cardiac diagnostics systems. The mathematical model of rhythmocardiogram with high resolution in the form of a vector of stationary and stationary related random sequences is substantiated. The structure of probabilistic characteristics of this model for analysis of cardiac rhythm in modern cardiodiagnostic systems is investigated.Документ A method for user authenticating to critical infrastructure objects based on voice message identification(Національний технічний університет "Харківський політехнічний інститут", 2020) Trysnyuk, Vasyl; Nagornyi, Yevhen; Smetanin, Kirill; Humeniuk, Igor; Uvarova, TetyanaThe subject of the research is the protection of critical infrastructure objects from unauthorized access based on voice message identification. The purpose of the researchis to consider the main methods and algorithms for identifying an individual by voice, as well as the development of a software implementation of the restricted zone access control system, which allows improving the security of the standard password system by introducing voice authorization technologies and improving thealgorithm for selecting voice fragments in audio files. Therefore, the purpose determines following tasks: analysis of the advantages and disadvantages of existing methods of information protection to infrastructure objects; determination of the optimal method of identification by voice message; a description of the main features of the implementation and use of Mel-frequency kastelnik coefficients (MFKC). Are used such methods: system approach, system analysis, theory of algorithms. The following results were obtained: an algorithm was developed for storing users ' voice data for further use in authorization, the voice authorization subsystem; the corresponding software of the computer system has been developed. Conclusions: based on the example of applying the biometric method of user authentication to critical infrastructure objects based on voice message identification, this method of user authentication should be used as an additional method of multi-factor authentication by entering an additional password or another method of biometric user authentication.