METHOD OF REMOTE MONITORING OF PARAMETERS OF ELECTRICAL SWITCHBOARD EQUIPMENT OF HOME AUTOMATION SYSTEM

The paper presents the results of the analysis of electrical switchboards computer-aided design process features. The problems of modeling and ensuring the normal temperature mode of switchboard equipment functioning for safe operation of home automation systems are investigated. The work shows that the shortcomings of existing methods and systems of monitoring make it impossible to use them for remote monitoring of the parameters of switchboard equipment due to a whole set of structural and functional features of developed objects. The main requirements for remote monitoring subsystem are compact modular design of hardware that will save space while providing the necessary functionality, low cost, and low power consumption of the components; reliable transmission of monitoring data over long distances, and data storage for further mining. The results of the development and implementation of the method of remote monitoring of electrical switchboard equipment critical parameters are presented. The possibilities of Orange opensource software using for data visualization and intellectual analysis are shown. The identified associative rules can be used for further improvement of control scenarios of the home automation system and ensure the reliable operation of switchboard equipment. The scientific significance of the work lies in the fact that the method of remote monitoring of operational parameters of electrical switchboard has been further developed based on the developed methodology for determining conditions and types of user notifications as well as the integrated usage of wireless data transmission technologies, cloud storage technologies and data mining tools. The practical significance of the obtained results is that the introduction of the remote monitoring subsystem will increase the reliability and security of the home automation system and its attractiveness to users. Further work will focus on the intellectual analysis of the data obtained based on Bayesian networks to develop and study patterns of human activity during home automation system operation to formulate recommendations for the user and specialists to improve the control scenarios of the home automation system. Key words: home automation system, switchboard equipment, remote monitoring, temperature mode, wireless technologies, cloud service, associative rules.

SERIEL SIMULATORS OF DYNAMIC NETWOORK OBJECTS WITH DISTRIBUTED PARAMETER

Mining engineering networks, road transport systems, electric power networks, electronic circuitry, circulatory, respiratory, endocrine and other internal systems of people and other living beings, hydraulic and hydro-electrical systems, aeromechanics, gas dynamics and many other networks in the fields of physics, chemistry, transport, mathematics, biology, economics and other fields of science belong to the network dynamic objects with distributed parameters, which is a class of complex dynamic systems (VTS), which give rise to many different problems and problems with large amounts of data using computer parallel modeling. Technological and technical schemes of different subject areas and different complexities, secondary topologies of technological and technical objects with distributed parameters can also be presented as graphs with appropriate physical and mathematical interpretations of branches and nodes. Technological importance and technical complexity of network dynamic objects with distributed parameters (MDORP) determine the urgency of the problems of active model support (Model Drive Engineering, MDE) of industry innovative projects for building technological schemes, automation of dynamic process control in enterprises, development of simulators for staff simulators for narrow specialties, guaranteeing safe operation of complex and expensive equipment, modernization within the requirements for compliance with the level of objects of Industry 4.0, which can be represented in the form of network dynamic objects with distributed parameters. The article is a contribution to the solution of MDE-problem: the technique of construction of consecutive MDORP simulators on the basis of Block-oriented-language (BOlanguage) of modeling is developed, the method of interactive computer support of development of simulators for objects of real industrial complexity is offered. In the article the part of real technical topology is considered, realized and investigated, and results will be used at creation of parallel simulators.

ASYMPTOTIC SOLUTION OF THE PROBLEM OF OPTIMAL CONTROL OF SYSTEMS WITH SLOWLY VARIABLE PARAMETERS

Models of non-stationary automatic control systems are differential equations with variable coefficients. Such equations do not integrate in quadratures in the general case. Asymptotic methods are methods of approximate integration of differential equations with variable coefficients. In the article the non-stationary automatic control system with slowly variable parameters is considered. To study this system it is necessary to construct an asymptotic representation of its solution. In the theory of asymptotic integration exist a problem to construction of the asymptotic solution of a system in the presence of a turning point. Special methods have been developed to construct a solution to such systems: Maslov’s canonical operator, the multiphase Kucherenko method, the method of W. Wasow. The purpose of the article is to construct an asymptotic solution of a linear system of differential equations with nonstabilitu spectrum of the main matrix. In this article the asymptotic representation of the solution of the optimal correction problem is constructed. The case of nonstability spectrum of the main matrix and the available of turning points are investigated. Application of the Pontryagin maximum principle to the problem leads to a system with slowly varying coefficients and an nonstable spectrum. Construction of a formal solution of the main system with turning points in the form of a single expression in some cases is possible. The system formed in the process of solving the problem of optimal correction does not allow the mentioned construction. A multiscale method was used to solve this system of equations. Asymptotic estimates for the constructed approximations are given. The studied problem has practical applications in technical and economic systems, in particular in the calculation of the correction of the orbits of artificial satellites. The nonnstability of the spectrum is the cause of the spike phenomenon. Further research may be aimed at finding a unified approach to solving such problems and to ascertain the physical meaning of the turning point in specific systems of automatic control. Keywords: automatic control system, asymptotic solutions, turning point, the problem of optimal correction.

SIMULATION OF DDOS ATTACKS ON CLOUD COMPUTER SYSTEMS

In conditions of high business competition, IT organizations need to respond quickly to the needs of their users who need resources to support business applications. This is due to the rapid spread of the cloud computing model, in which resources can be deployed independently and on demand. Cloud computing is a source of tools to automate the deployment of resources, so IT organizations do not have to spend so much time doing this process manually. When deploying new applications, moving virtual servers or commissioning new instances due to dynamic applications, the network must respond quickly and provide the required type of connection. There has been a significant breakthrough in software configured networks (SDN / NFV) over the past few years. SDN / NFV organizations need to increase network adaptability by automating the network on cloud computing platforms.However, the new challenges posed by the combination of cloud computing and SDN / NFV, especially in the area of enterprise network security, are still poorly understood. This article is about solving this important problem. The article examines the impact on the mechanisms of protection against network attacks in the corporate network, which uses both technologies, simulates DDoS-attacks on cloud computing systems. It has been shown that SDN / NFV technology can really help protect against DDoS attacks if the security architecture is designed correctly.

THE APPROACH FOR QOS BASED WEB SERVICE SELECTION WITH USER’S PREFERENCES

This paper is devoted to applying the LSP method for Web service selection based on quality characteristics and the user’s preferences. The purpose of this work is to develop an approach for the Web service selection, which, based on a reasonable choice of Web service quality attributes and the use of the LSP method, allows for a deeper consideration of consumer preferences. The efficiency the LSP method for QoS-based Web service selection is conformed. The novelty of this work is that the LSP method was fully used for QoS-based Web service selection in comparison to the publications authors are aware of. Keywords: Web service, quality attributes, LSP method, aggregation framework, multicriteria decision-making method.

FORMAL DESCRIPTIONS OF COMPLEX DYNAMIC SYSTEMS AND SPECIFICATIONS OF SIMULATORS CONSTRUCTED BY MODELING LANGUAGES

The concept of developing parallel modeling languages (PML) of complex dynamic systems (CDS) based on the analogy between the principles of operation of serial languages (SL) and MIMD parallelism provides for the purpose of "Functional element of the SL block diagram - MIMD process", which transforms the SL specifications of serial simulators (block diagrams) in the structure of virtual parallel simulators. Virtuality is due to the atypical for MIMD-systems "fine granulation" of the processes generated by this purpose and the connections between the processes, which must be appropriate to the connection schemes of the functional elements of SL simulators. The architecturally relevant implementation of a parallel simulator of any CDS is related to the form of its mathematical description and the corresponding Simulation model. CDS with concentrated parameters are described by systems of ordinary differential equations (ODE) of the first order, systems of equations of different orders, systems of differential-algebraic equations (DAE-Problem), and in network CDS there are sums of derivatives from different variables. CDS with distributed parameters are described by systems of differential equations in partial derivatives, so the development of Simulation-models is associated with the approximation of equations by spatial coordinates and the formation of ODE systems. For these forms of description Simulation-models and corresponding SL-specifications in the form of block diagrams of SL-elements are considered, which is the basis for construction of virtual MIMD-simulators of two possible levels of granulation of processes: the basic level " SL-element - process" provides MIMD-processes "Shallow granulation", in which there is uneven loading of processes and an unfavorable relationship between the volume of computational operations and data exchange operations between processes; The level "Group of SL-elements - process" corresponds to the stage of simulator development, in which the specifications use the composition of SL-elements according to a certain principle, for example, "One equation Simulation model - Group of SLelements to solve the equation - Coarse granulation process"