Перегляд за автором "Krasnozheniuk, Y."
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Публікація Analysis of Voice Signal Phase Data Informativity of Authentication System User(ХНУРЕ, 2020) Pastushenko, M.; Krasnozheniuk, Y.; Lemeshko, O.Directions of improving the quality characteristics specific to voice authentication systems in various access systems are analyzed and explored in the article. One of the main directions for improving the quality characteristics of the user authentication systems is the use of phase information of a voice signal. The urgent scientific task of studying new procedures is being solved to refine the estimates of the pitch frequency obtained on the basis of the amplitude-frequency spectrum analysis. The estimates were refined using phase data of the voice signal, as well as estimates of the pitch frequency in the process of obtaining cepstral coefficients. The results are obtained in the course of statistical analyzing the simulation results using experimental voice data of the authentication system user. Phase data of a voice signal allows obtaining adequate and reliable estimates in the process of spectral analysis. However, if there are errors associated with gross errors, for example, when taking the first or second formants for estimating the pitch frequency, preference should be given to the estimate obtained in the process of calculating cepstral coefficients. The presented research results should be used in voice authentication systems, improving speech recognition systems, as well as in solving speaker identification problems.Публікація Method of Creating a Passive Optical Network Monitoring System(2021) Токар, Л. О.; Krasnozheniuk, Y.It is considered that with the simultaneous operation of two or more wireless users, which differ in speed performance, the phenomena of air monopolization appear, which is reflected in the imperfection of the built-in mechanisms of the IEEE 802.11 standard and the distribution of air time. The influence of the Airtime Fairness technology on the performance and quality of the Wi-Fi wireless network of the IEEE 802.11ac standard is investigated. The features of implementing of algorithms for the operation of the Airtime Fairness technology are considered, and the theoretical substantiation of the efficiency of this technology is presented. Statistical data were obtained aimed at optimizing the process of data transmission over the air. The collection and analysis of network performance indicators was carried out when activating the Airtime Fairness mechanisms with the preservation of all preliminary settings, equipment locations, locations of wireless users and their number. An analysis of the main indicators of the performance and quality of the wireless network is presented: the average traffic speed, packet performance and the number of TCP packets with loss or damage or re-transmitted to the network. It was revealed that the performance indicators of the network during the operation of the Airtime Fairness technology can vary depending on the equipment manufacturer and the technology operating mechanisms used by the manufacturer. It has been proven that the use of Airtime Fairness technology is advisable, but only with a full understanding of the performance mechanisms and features together with a clear understanding of the impact of this technology on the network and on each individual user.