USING POTENTIALS IN LINEAR PROGRAMMING MODELS
I.Z. Mustaev, М.B. Guzairov, V.Y. Ivanov, N.К. Maksimova, Т.I. Mustaev
The article describes a linear optimization model, which is an interpretation of the linear programming model of Kantorovich L. V. The accumulated potentials are considered as variables, a brief description of which is given in the paper. Additionally, models of forecasted and full potentials are given. The use of accumulated potentials opens up possibilities for modeling objects with long life cycles. This significantly expands the scope of the linear programming methodology to study the behavior of socio-economic systems in market conditions. The foregoing is illustrated in relation to an enterprise of the engineering field. In particular, a comparison was made of the results obtained from the initial data and the results obtained by recalculating the potentials. Features of the dynamics of accumulated potentials allow us to solve the problem of using optimization approaches in conditions of the high volatility of the external environment, in the conditions of emerging markets. Efficiency models and models of time norms are described, which play an auxiliary role in the formation of a linear programming model. In addition, indicators of the potential time norm and potential intensity of the equipment used in this model are formalized. The final model for calculating the production program written using potentials is presented. The model reflects the optimal use of resources and takes the form of direct and dual linear programming problem reformulated with the use of accumulated potentials. The model includes a description of the potentials of the objective function and equations reflecting the potentials of resource constraints.
Keywords: linear programming, accumulated potential, forecasted potential, dynamic model, sociophysical object.
DEVELOPMENT OF A MATHEMATICAL MODEL OF THE PROCESS OF PROVIDING HIDDEN INFORMATION EXCHANGE IN RADIO SECURITY SYSTEMS AND A COMPUTATIONAL METHOD FOR ASSESSING THE STEALTH FOR THEM
To control large areas, radio security systems are currently being used that provide information collection from radio-distributed sensors distributed throughout the facility. When a person or a foreign object enters the sensor’s coverage area, the sensor detects the occurrence of an emergency and sends an alarm signal via radio channel to the system control panel. At the same time, it is known from the literature that radio security systems themselves are subject to destructive influences aimed at disrupting their performance. In this work, the author, based on the previously proposed mathematical model and generalization of the known literature, developed a mathematical model of the process of providing hidden information exchange in radio security systems, taking into account the destabilizing effects (for example, imposing false data or suppressing interference) on the transmitted signals in the communication channel. A computational method has also been developed for assessing the stealth of information exchange in radio security systems based on fuzzy logic, the use of which under conditions of poorly structured and difficult formalizability of the source data and also in the conditions of a complex of destructive influences, can potentially help to more adequately assess the stealth of radio security systems. The results can be used to study the stealth of known and promising radio security systems. It is also possible to use the results obtained to increase the stealth of known and promising radio security systems.
Keywords: mathematical model, computational method, stealth, radio channel, radio security systems.
ARCHITECTURE OF A CLOUD SYSTEM FOR DISTRIBUTING MULTIMEDIA CONTENT IN CYBER-PHYSICAL SYSTEMS
Keywords: multimedia, human-machine interaction, distributed systems, content delivery systems, cyber-physical systems, data bus.
DEVELOPMENT OF A RECOMMENDER SYSTEM FOR PARAMETER CALCULATION IN WIRELESS NETWORK OF SENSOR DEVICES
This paper proposes a solution for a relevant scientific and engineering problem of time saving in wireless data transfer network design, based on software units for position calculation of heterogeneous sensor units and mobile robotic devices, sufficiently significant for digital technology advance in agriculture. A recommender software engine AgroWiNet is developed, including additional radio units, enabling deployment of heterogeneous sensor devices and mobile robotic devices network in the work area. Suggestions are given on practical use of the developed software system in agricultural robotic systems, specifically in open ground settings. Today modern repeater networks are designed manually, and sometimes installed in ad-hoc manner, without prior calculations, what entails excessive labor costs on design stage, as well leads to solutions with suboptimal energy-efficiency parameters. The developed recommender system software allows to cut design time of such networks down to a few hours, provides for the most favorable distribution of sparsely installed repeaters few in numbers, as well has superior scalability and energy efficiency.
Keywords: sensor networks, coordinate detection algorithms, repeaters, robotic devices, mapping, distributed systems.
SOFTWARE SELF-ADAPTATION METHOD BASED ON MACHINE LEARNING TECHNOLOGY
A.M. Bershadsky, A.S. Bozhday, Y.I. Evseeva, A.A. Gudkov
The article discusses development and application issues of software self-adaptation method based on machine learning technology. The differences between the Model-Based and Model-Free approaches in reinforcement learning are considered, the choice of the Model-Based approach for creating a software self-adaptation method is substantiated. The definition of an expanded Markov decision-making process that takes into account the role of the situation in the course of program self-adaptation is considered. A mathematical model of the state space of the software system is proposed, based on the hypergraphic formalization of the model of characteristics. Based on the expanded definition of the Markov decision-making process, the proposed model of the state space of the system, and the concept of the Model-Based approach to machine learning with reinforcement, a new method of software self-adaptation was developed that takes into account the effect of the actions performed by the system on the state of the environment. A practical example of using the method is given.
Keywords: multimodal data, repository, research organization, distributed platform, interdisciplinary research.
MATHEMATICAL MODELS AND ALGORITHMS OF MULTIVARIATE SYNTHESIS OF DESIGN SOLUTIONS IN DEVELOPMENT OF ARCHITECTURE OF DEVELOPING SOFTWARE SYSTEMS
A.A.Ryndin, N.A.Ryndin, S.V. Sapegin
The article discusses models and algorithms of synthesis of design solutions in the process of development of developing software systems, based on the approach of multiple integration. The problem of software evolution, as well as the problem of designing and controlling the evolutionary trajectory of software systems, is now receiving much attention. Different types of systems have different nature and duration of the evolutionary cycle are distinguished, but the overall objective is to design the software life cycle in a rational manner, including its development stage. Having presented the designed software as a dynamic developing system, we can express the process of building a software complex in the form of a design route consisting of a sequence of tasks of multicriteria selection, and the result of each choice affects the trajectory of subsequent development of the system. By dividing IP components into organizational solutions, information infrastructure and user services, and applying methods of multiple integration, we can solve in numerical form the problem of rational choice of options at each stage of decision-making in the process of software development and thus develop software tools and components in the conditions of modern innovative economy.
Keywords: multivariate synthesis of design solutions, software architecture, developing software systems.
DEVELOPMENT OF ARCHITECTURE OF REPOSITORY FOR STORING MULTIMODAL DATA
O.A. Belyakova, P.N. Makhnin, S.V. Sapegin
The article discusses the main features of the design and development of a platform solution for the organization of research work based on multimodal data. In the context of a multiple increase in research data collected in experiments from various sources, as well as an increase in interest in conducting interdisciplinary research in recent years, the development of tools for collecting, storing and processing multimodal data has become urgent. At the same time, the communicative process, which includes audio, video, semantic modality, as well as modalities received from various sensors, is considered as the initial data source. Based on the study, the article formulated the requirements for the repository, and also proposed a model of its architecture. The features of the digital presentation of multimodal data in the form of a linear combination of modalities are considered, an approach to the implementation and development of the repository based on the principles of microservice architecture is presented. The implemented platform is designed to manage and jointly process data in multidisciplinary collective research, including using remote workstations. The architecture was built using the paradigm of reactive interaction of system components, as well as the principles of asynchronous access.
Keywords: multimodal data, repository, research organization, distributed platform, interdisciplinary research.
APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN THE PROBLEMS OF MANAGING A GENETIC ALGORITHM
D.A. Petrosov, R.A. Vashchenko, A.A. Stepovoi, N.V. Petrosova, A.N. Zelenina
In modern intelligent decision support systems, there is still a problem associated with improving performance in structural and parametric synthesis of large discrete systems with specified behavior based on genetic algorithms. Currently, there are two main areas of research that are designed for mathematical or hardware-based performance improvements. One of the ways to increase hardware performance is to use parallel computing, which includes GPGPU (General-purpose computing on graphics processing units) technology. In this paper, we consider the possibility of increasing the speed of intelligent systems using a mathematical tool of artificial neural networks by introducing a control module for the genetic algorithm directly when performing decision synthesis. The process of structural-parametric synthesis is controlled by predicting and assessing the state of the genetic algorithm (convergence, attenuation, finding the population at local extremes) using artificial neural networks. This allows you to change the parameters of the operators directly in the process of decision synthesis, changing their destructive ability relative to the binary string, which leads to a change in the trajectory of the population in the decision space, and as a result, should increase the speed of intelligent decision support systems.
Keywords: genetic algorithm, intelligent information systems, artificial neural networks, system analysis.
ADAPTIVE CONTROL SYSTEM FOR ELIMINATING THE ASYMMETRICITY OF PHASE LOAD IN A THREE-PHASE NETWORK 0.4 KV
Y.A. Klimenko, A.P. Preobrazhenskiy, O.N. Choporov
The relevance of the study is due to the basic requirements of the Federal Law of November 23, 2009 No. 261-ФЗ “On energy conservation and on improving energy efficiency and on amendments to certain legislative acts of the Russian Federation.” The paper considers the possibility of creating a complex of control and management of the quality of electricity in 10 / 0.4 kV distribution networks, especially in remote and inaccessible areas of rural areas. The problem of the mismatch of the quality of energy supplied by network and energy supply organizations with the requirements of GOST is the physical and moral deterioration of energy equipment, the mismatch of the technical parameters of power lines with the current level of energy consumption, and the amount of energy loss. This study aims to reconstruct electrical networks and improve the quality of energy supplied to consumers. The result is achieved by the use of adaptive systems based on monitoring and controlling the state parameters of the electric network (electric voltage, electric current, power factor, active and reactive power), intelligent distribution of electric capacities between consumers.The materials of the work are of practical value for energy network, design organizations and enterprises for the sale of electrical equipment, as well as for consumers of electricity.
Keywords: text recognition, mobile application, computer vision, algorithm.
CIRCUIT DESIGNS AND ENGINEERING SOLUTIONS BASED ON SYNCHRONOUS RECTIFIER FOR WIRELESS ENERGY TRANSFER SYSTEM
K.D. Krestovnikov, Е.О. Cherskikh, А.R. Shabanova
This paper presents circuit designs and engineering solutions for wireless energy transfer system (WETS), aimed to increase transmitted power and battery charger performance efficiency. This problem was solved by integration of the previously developed synchronous rectifier into the receiving part of the system. The distinctive feature of the WETS is its control system, required for adjustment of performance parameters, protection from inadmissible operating conditions and for human-machine interactions, using diagnostic message output onscreen. To maintain the required resonance frequency in the receiving part of the device a resonance self-oscillator. Application of identical components in both circuits allowed to obviate the need in additional subsystems for frequency tuning to achieve the required resonance value in the receiving part. To simplify the WETS fabrication and assembly process, identical materials for cases of receiving and transmitting parts were chosen, as well dimensions for coil socket in each part. Comparative study of WETS performance efficiency of WETS, where the receiving part is equipped with a rectifier on Schottky diodes and a synchronous rectifier. It was revealed, that previously developed circuit design of a synchronous rectifier allows to improve WETS efficiency by 5,38 % under load current of 4,5 A. Additionally, the following dependencies were obtained: synchronous rectifier efficiency depending on load current, energy transfer efficiency depending on transferred power and characteristic curves for different distances between the receiving and the transmitting part. The power transfer efficiency when using the presented WETS prototype was 76,47 % by transmitted power of 125 Wt. Transmitted power increase at least by 30 % compared to similar wireless battery charging devices shows, that the charging period duration is decreased.
Keywords: wireless energy transfer, circuit design, battery charging device, synchronous rectifier, resonance self-oscillator, Schottky diode.