Pawel Falat

A review of the control laws (models) of alternating current arc steelmaking furnaces’ (ASF) electric modes (EM) is carried out. A phase-symmetric three-component additive fuzzy model of electrode movement control signal formation is proposed. A synthesis of fuzzy inference systems based on the Sugeno model for the implementation of the proposed additive three-component fuzzy law of arc length control is performed. A structural computer Simulink model of the EM control system in a high-power arc steelmaking furnace of the DSP-200 type with an ARDM-T-12 arcs power regulator is created. Computer research into control dynamics indicators under the influence of deterministic perturbations and also integral indicators of energy efficiency when handling stationary random arc lengths fluctuations (corresponding to various technological stages of melting) are carried out. A comparative analysis of dynamics indicators, energy efficiency, and electromagnetic compatibility of the proposed fuzzy and known differential model of ASF arc lengths control is carried out. The implementation of the proposed fuzzy three-component additive control model in comparison with the existing deterministic differential one reduces the dispersion of voltages, currents, and arcs powers, reduces electrical losses in an arc furnace high-power network by 10–22% and increases the average arc power by 0.9–1.5%.

The experience of cloud-based computing technologies use in the Smart City class design is analyzed. In the considerable part of applications in the Smart City class design informational technologies of cloud-based computing combined with such technologies as GRID, IoT, BigData, OLAP, GIS are used. At the same time complex solutions systematically considering peculiarities of defined technologies are practically non-existent. To introduce the Smart City concept it is necessary to realize completely the system approach considering peculiarities of existing IT infrastructure and appropriate services. In such a case interests of a wide range of motivated organizations, companies, firms and great number of town residents should be taken into account as far as distinction of informational resources access rights are concerned. Layer architecture of the Smart City class informational system for accumulation and processing of diverse data obtained from intelligent providers were analyzed by the authors during the research. Characteristics and realization of informational technologies on the basis of cloud-based computing used in Smart City designs were reviewed. In further investigations it is reasonable to model system operation and develop its prototype for individual water and heat cost accounting as well as operational mobile customer accounts for received services. It is also necessary to establish possibilities of functions increase and integration with other subsystems of “Smart City Ternopil” design portfolio.

There has been investigated the effectiveness of fermentation industry sewage waters clearing by means of ultrasound. There has been established that the necessary quality indicators of water are received in as little as an hour of acoustic cavitation activity. While preserving the water, processed by the ultrasound, the meaning of the chemical use of oxygen remained the same during 2 weeks. After the ultrasound processing, there is observed a post-effect of cavitation activity, which lies in the reduction of the amount of microorganisms in the volume unit and chemical use of oxygen. The expansion in the number of microorganisms began only in 24 hours.

The paper presents and discusses a novel method of biometrie identification based on ECG data. The main idea of the study is to apply Deep Neural Networks (DNN) for human identification based on the raw ECG signal. To improve overall system accuracy various signal pre-processing and outlier detection techniques have been applied. Also, to make ECG identification approach more user friendly, three-finger measurement scheme has been proposed. All experiments have been made using self-collected Lviv Biometric Data Set.

Mathematical modelling of the salt movement process under filtration salt transfer considering infiltration process in unsaturated-non-saturated layered soil has been carried out. The solution of this problem was received with a finite difference method. As a result of program implementation of the problem, numerical experiments have been performed and an analysis of the results has been done.

Review of main approaches of gas consumption prognosis and analysis models is given here. Most of them are long-term prognosis methods, which take into account some weather conditions (mostly temperature as most significant one), few short-term methods works only for non-heating period. Unlike the existing methods, new approach gives a possibility to analyze and calculate prognosis values of gas consumption in heating season taking into consideration its cyclic nature and temperature of environment at the same time. It helps to monitor, analyze, plan and manage loading of gas system during the day.

The paper presents an algorithm of analysis and management of integrated security, which was developed using fuzzy cognitive modeling. This algorithm allows to unify the approaches of integrated security management and to begin to develop appropriate computational procedures and modules that can be further used for constructing of information security systems.