The article considers various methods of suppressing electromagnetic disturbances encountered in the electric power system. Detailed descriptions of methods of suppression, as well as classification of electromagnetic interference on the basis of the source of their occurrence are given. Illustrative diagrams of the 106 Вестник Инновационного Евразийского университета. 2017. № 1 ISSN 1729-536X three methods are shown. Based on the analysis, recommendations were made on improving the noise-proof feature of power equipment.

In conditions of updating the content of education, the application of the project methodology becomes relevant, as new educational goals aimed at putting theoretical knowledge into practice are gaining importance. Using the project method will allow to update educational and cognitive activities and to activate the student as a subject of this activity. The article discusses the stages of work on the project method and the role of the teacher in the process of organizing the project

The article is devoted to solving the optimization problem of finding an energy-efficient mode operation of one of the types of energy-intensive industries with the properties nonlinearity, inertia, and isolation. An optimization model based on a genetic algorithm is considered as a solution method. Moreover, the calculation of the fitness function for the selection of chromosomes is proposed to be calculated on the basis of fuzzy logic

Various methods and approaches in teaching foreign languages are gaining popularity in the modern world of globalization and integration. The integration of the education system caused by the acceleration of the process of mastering foreign languages and increasing its quality, in this regard, this article discusses the latest world teaching methods in order to implement them in the educational system of educational institutions. In particular, in the modern educational environment, the approach based on the idea of integrating subject and language learning in the process of professional training of future specialists (Content and Language Integrated Learning) is of particular importance, which contributes to the formation of professionally-oriented competence in a foreign language. In this regard, the article presents the methodology for activating the knowledge and skills of students in lectures, practical training and during independent work of students on the example of the discipline “Economics and entrepreneurship in industry” for students of non-linguistic directions of training in accordance with the methodology of content and language integrated learning (CLIL). The methods of applying the “Language input theory”, “Second language acquisition” theory, “Interaction theory” in lectures, practical training and during independent work of students in the discipline “Economics and entrepreneurship in industry” are also proposed. A practical algorithm of the course of the lesson (on the example of lectures) in accordance with the CLIL methodology according to the specifics of the discipline is presented. The methodology of evaluating students’ knowledge in accordance with the credit technology of training is presented. In the article, special attention is paid to the auxiliary role of the teacher in helping students master the materials of the discipline, which is reduced as the student acquires basic professional knowledge and skills. This emphasizes the auxiliary role of the teacher at the first stages of training (acquaintance, introduction, training, including independent analysis and evaluation of data while learning a foreign language), followed by independent training of students

When managing a filling station chain, it is necessary to solve the following tasks in dynamics: determining the volume of purchases by types of oil products sold and redistributing the available volume of various types of oil products to filling station chain. The peculiarity of this control task is that the replenishment of the storage of oil products is carried out centrally, and the sale of each type of fuel is carried out at separate filling stations of the network, that is, in many points. At the same time, the volume of each type of fuel sold by each station of the network should be taken into account separately, taking into account the seasonal demand for a specific oil product. In addition to modeling demand, information is needed on the volume of petroleum products that can be purchased from suppliers with the possibility of increasing or decreasing the volume of purchases due to demand. To solve this problem, a list of suppliers of a specific type of oil product with a possible range of supply volumes must be determined. In the proposed model, an attempt is made to solve the above problems. To solve them, a management model was developed, which was implemented using the Visual Studio C # programming environment and MS SQLServer DBMS. When developing the structure of the database tables, the task of managing a network of filling stations based on the Petri net was taken into account: that is, the database tables provided for storing information on the volumes of supplies of petroleum products, the volume of sales of each type of petroleum product, as well as the time of deliveries and sales. To solve the problem of centralized procurement for all types of fuel, the database provided tables with information about suppliers and possible volumes of supplies by them of various types of petroleum products. To solve the problems of forecasting demand, the model includes algorithms for predicting the volume of sales of petroleum products based on the accumulated time series of data for each type of fuel separately. The forecasting was carried out in order to assess the required volumes of purchases of oil products for the coming period. The prediction algorithms are implemented using two methods: linear approximation and exponential smoothing. Both algorithms take into account the seasonality of demand.

This article reveals the essence of teaching the disciplines of the natural science cycle in English in high school. When preparing for the lesson, there is a need for careful selection of educational material, the teacher thinks out a specific algorithm for working with the text in a foreign language using subject terminology, while not forgetting the basic grammatical and syntactic models characteristic of the English language. In such a language environment, foreign speakers actively acquire solid knowledge, eliminating language difficulties in professionally-oriented lessons. Given this problem, we decided to create a methodological guide for teachers, which will contain tasks for formative assessment in physics lessons in English. Its lexical and grammatical material meets the requirements for mastering the English language (B1) in educational and cognitive activities. The presented progress tests also meet all the requirements of the corresponding stage of training of non-native speakers and help to consolidate the skills of professionally oriented communication. The purpose is to reveal some principles that should be taken into account when preparing assignments for physics lessons in English, as well as to provide a methodological guide for teachers. This article shows several principles that are most effective when conducting lessons. All the data of the article was confirmed by a computer survey of students, the answers were analyzed and collected for publication. Given the results we have presented, secondary school teachers can improve the quality of the material provided, as well as spend less time preparing for lessons. Physics is one of the fundamental sciences that can combine both the subject content and the language component. Here we present various methods of subject-language integration to improve communication skills. Thus, the preparation and conduct of physics lessons in English requires a strict and careful selection of educational material and takes into account the educational profile of secondary school students.

The main problem: The article deals with the issues of hiding text information in a graphic file. A formula for hiding text information in image pixels is proposed. A steganography scheme for embedding secret text in random image pixels has been developed. Random bytes are pre-embedded in each row of pixels in the source image. As a result of the operations performed, a key image is obtained. The text codes are embedded in random bytes of pixels of a given RGB channel. To form a secret message, the characters of the ASCII code table are used. Demo encryption and decryption programs have been developed in the Python 3.5.2 programming language. A graphic file is used as the decryption key. Purpose: To develop an algorithm for embedding text information in random pixels of an image. Methods: Among the methods of hiding information in graphic images, the LSB method of hiding information is widely used, in which the lower bits in the image bytes responsible for color encoding are replaced by the bits of the secret message. Analysis of methods of hiding information in graphic files and modeling of algorithms showed an increase in the level of protection of hidden information from detection. Results and their significance: Using the proposed steganography scheme and the algorithm for embedding bytes of a secret message in a graphic file, protection against detection of hidden information is significantly increased. The advantage of this steganography scheme is that for decryption, a key image is used, in which random bytes are pre-embedded. In addition, the entire pixel bits of the container image are used to display the color shades. It can also be noted that the developed steganography scheme allows not only to transmit secret information, but also to add digital fingerprints or hidden tags to the image.

Currently, the problems of environmental safety are facing society. The industry develops every year. In this critical economic situation, the oil industry is a stimulant for the economic sector in Azerbaijan. The level of development of this industry is also relevant due to other reasons: sociological, technological and features of the economy of Azerbaijan. The production activity of oil processing, concentrating harmful substances and energy, is a source of man-made danger and pollution of the natural environment. The risk management process mainly consists of three stages - risk safety analysis, risk assessment, which is carried out in comparison of calculated and actual risk levels, the so-called acceptable risk levels and the adoption of appropriate regulations and management decisions. One of the factors that should be taken into account when assessing risk and safety is to determine the necessary costs. Since these costs are paid directly to the company, they try to minimize them as much as possible, which reduce the accuracy of risk assessment. One of the objectives of the study is to determine the optimal value of the necessary costs. It is established that the less reliable the method, the lower is the cost of its implementation. The methodological basis of the work was scientific works on these problems of scientists-economists, mathematicians on safety and risk assessment at industrial enterprises. When developing the presented methodology, computational algorithms developed by Dow Chemical were used. This company has collected a large volume of material on accident statistics, taking into account damages. Based on the obtained and experimentally verified data, a system of indices has been developed, an assessment of various indicators for qualitative and quantitative risk assessment of oil refineries. The analysis of the technogenic danger of oil refineries makes it possible to determine ecological and economic losses and choose rational possibilities of acceptable risk. The required costs, depending on the level of risk, are determined based on an increase in the accuracy of calculating the probability of occurrence of the cause of risks. The article examines the relationship between the expected level of risk and economic losses during oil refining in separate technological units, which allow determining the required level of risk and the expected economic damage.

Singularly perturbed partial differential equations with small parameters with higher derivatives deserve special attention, which often arise in a variety of applied problems and are used in describing mathematical models of diffusion processes, absorption taking into account small diffusion, filtration of liquids in porous media, chemical kinetics, chromatography, heat and mass transfer, hydrodynamics and many other fields. It is necessary to consider the creation of an asymptotic classification of solutions of singularly perturbed equations using a well-known approach to solving the boundary value problem. In this case, the singular problem is understood as the problem of constructing the asymptotics of the solution of the Cauchy problem for a system of ordinary differential equations with a small parameter with a large derivative. The asymptotics of the solution in all cases is based on the last time interval or the construction of a boundary value problem for a system with a weak clot in an asymptotically large time interval. Purpose - to construct and substantiate the asymptotics of solving a singular initial problem for a system of two nonlinear ordinary differential equations with a small parameter; To date, a number of methods have been developed for constructing asymptotic expansions of solutions to various problems. This is the method of boundary functions developed in the works of A.B. Vasilyeva, M.I. Vishik, L.A. Lusternik, V.F. Butuzov; the regularization method of S. A. Lomov, methods of averaging, VKB, splicing of asymptotic decompositions of A.M. Ilyin and others. All the above methods allow us to obtain asymptotic expansions of solutions for wide classes of equations. At the same time, such singularly perturbed problems often arise, to which ready-made methods are not applicable or do not allow to obtain an effective result. Therefore, the development of methods for solving equations remains a very urgent problem. As a result of the study, an algorithm for constructing an asymptotic classification of the initial solution of the problem with a singular perturbation is given, and approaches to estimating the residual term are also shown.

The paper considers two data-driven methods for anaphora resolution of Kazakh texts. These methods are based on machine learning with annotated corpora and using no additional information except linguistic features. The first method uses Support Vector Machine as learning and classifying algorithms, the second method uses Decision Tree inducer. We evaluate the performance of the methods with several feature sets and corpora. Feature sets included morphological, syntactic, and semantic features. In this paper We also evaluate how semantic features, namely semantic roles, impact the performance of anaphora resolution in Kazakh language. Experiments showed that precision of SVM is higher on experimental data for almost all cases. It was shown that semantic features enhance the performance of the methods for anaphora resolution of Kazakh texts. We have also calculated the optimal distance between the anaphor and the hypothetic antecedent and used it in our methods.

In order to successfully conduct agricultural work and obtain a competitive harvest, it is mandatory to carry out spraying operations of crops that require highly qualified personnel, expensive equipment and suitable weather conditions. The use of tractors for spraying fields is the most common solution available at the moment, has disadvantages: high cost, risk of damage to the crop by "hitting", "hooking" or otherwise; environmental damage; due to exhaust gases, the demolition of the solution increases with increasing speed. Using a device designed specifically for spraying equipment is an ideal solution. The purpose of the article is to develop a working model of an automated sprayer for processing agricultural crops. The methods used are: technical justification of a controlled device for processing agricultural crops. Calculation of functional capabilities, algorithms of operation of the proposed automated device: selection of the type of sprayer, engine, chassis, controller, battery, as well as justification of the possibilities of using alternative energy sources (wind energy, solar energy); development of a 3D model of an automation device for anti-weed processing of agricultural crops, printing of parts, assembly of mechanical and electronic parts. Making a prototype using 3D printing; development of the wiring diagram of electronics, software (firmware of the microcontroller; application that controls the settings), testing of the prototype, assembly of the current model; rationale for the optimal use of Arduino and Raspberry Pi boards in this device in a pair: Raspberry Pi will allow you to control processes on the Arduino and easily interact with the Internet when the Arduino itself will perform simple operations such as interacting with electronics and reading sensor readings. The manufactured operating model showed compliance with the goals, a high degree of controllability, environmental friendliness, reduction of energy consumed, labor resources and can be used to scale this device. The developed model of the automation device for anti-weed treatment of agricultural crops can be used not only in agricultural pollination, but also as a mechanism for studying soil parameters: humidity, mineralogical composition and chemical content in the ground, using electronic sensors, as well as an automated mobile platform for any purpose requiring accurate navigation through the territory.

The present stage of development of power systems is characterized by the need to increase their intelligence, that is, the formation of an environment capable of solving the problems of effective management of all components included in the power system. One of the features of modern energy systems is an active consumer, that is, a consumer who has the opportunity to optimize the schedule of loading their capacities, planning energy consumption, intellectualization of energy consumption. In addition to the fact that there are digital systems for collecting, processing and presenting information, as well as transmitting this information via the Internet, to solve the most difficult task of managing power systems, it is necessary to develop a large number of models adequate to real processes that can describe the processes taking place in the power system under consideration. The purpose is to develop models capable of adequately describing the interrelated processes occurring in the considered elements of the power system, as well as in the aggregate of related elements; development of methods that allow solving problems of effective control of elements of energy systems on the basis of the proposed intelligent models. To solve the problem of increasing the intelligence of the power system, nonlinear adaptive models of electrical complexes of an energy-intensive enterprise included in the power system were developed on the basis of balance equations and artificial intelligence methods. The production of alumina with the properties of inertia, nonlinearity and closure is chosen as the production under consideration. This type of production was chosen as the most difficult to predict due to the unpredictability of changes in energy consumption during the transition to other modes of its operation, associated, for example, with the receipt of raw materials with a different chemical composition for processing. Static and dynamic models of energy consumption of electrotechnical complexes with continuous inertial nonlinear closed production based on artificial intelligence methods have been developed, which makes it possible to eliminate the need to use long time series of retrospective data. For the considered type of continuous energy-intensive production, dynamic characteristics of energy consumption and technological processes are obtained from the main controlled parameters, which make it possible to predict emergency situations and partly man-made disasters. On the basis of a genetic algorithm, a multiparametric optimization problem of energy management of continuous production has been solved, taking into account technological parameters and cost factors.

Main problem: At the present stage of life, Innovations in the financial sector contribute to the optimization of financial intermediation and, in turn, stimulate economic growth. Financial innovations increase the efficiency of the allocation of savings capital to investment capital, as well as increase liquidity in the markets. As the digital economy has developed, the functionality of traditional large financial institutions has been partially replaced by financial technologies (FinTech). FinTech involves the convergence of traditional financial services with mobile services, social media services, big data aggregation and processing, and cloud technologies. Purpose of this article is to identify the main directions of the electronic financial services market in the Republic of Kazakhstan, identify the main problems and prospects for the development of the financial sector of the economy. Methods: The work used general scientific methods of comparative system, vertical and horizontal analysis, structural and functional method, analytical techniques, economic and statistical research methods. The results and their significance: the authors identified the main directions of digitalization of the financial sector of the modern economy, noted the role of FinTech companies and services in both theoretical and practical terms, and provided relevant approaches to the definition of this concept in the economic literature. The main reasons and factors for the development of this direction of digitalization of the financial sector are substantiated, including the concept of financial accessibility, the advantages and disadvantages of FinTech, various approaches to their classification, country and regional characteristics, and an analysis of development trends. The crowdfunding direction of FinTech is noted, approaches to its definition and classification are given, the advantages of the crowdfunding mechanism are revealed, and its role in the modern economy is analyzed. The trend of algorithmic trading development as the most important direction of digitalization of the financial sector is investigated. A detailed analysis of mobile financial services as one of the fastest-growing areas of FinTech is carried out, approaches to their classification are given, factors stimulating the growth of mobile payments, country and regional characteristics are substantiated. The main directions of digitalization of the insurance sector are analyzed, reasonable conclusions about the advantages of InsurTech are made.