The article discusses a way to increase the efficiency of automobile operation by improving methods for ensuring the operability of electrical equipment based on the diagnosis of generators by output voltage. As a diagnosis, it is proposed to perform a spectral analysis of the generated voltage in idle mode and to determine the state of various generator elements from the results. The effectiveness of the proposed solutions is determined by the non-separable diagnostics of the generator, which, based on a thorough examination, can determine the state of various elements of the generator. This method does not require taking the generator out of operation, does not depend on its design and can be used in difficult operating conditions to obtain preliminary information about the state of the generator at the initial stage of maintenance.

In this article issues of efficient use of ferroalloys production waste to save costs are considered; energy efficiency of agglomerate production is calculated; sintering heat balance data are presented by a case study of Aksu Ferrolloy Plant. According to the annual economic benefits calculation the folowing results are obtained: due to аglogases recirculation, fuel saving is 1334.5 t.o.e.; due to reheating it is 1491 t.o.e.; due to installation of thyristor converters to the unit the annual energy saving is 1714000 kWh. Thus, it is identified that besides energy-efficiency measures during recycling of solid and gaseous wastes, the use of agglomerate increases IPF electric furnaces performance as well, decreases specific energy and reducing agent consumption which means the prime cost of finished products will be reduced.

In the article different methods of diagnosis of failures of electric equipment which are most often found in the industry today. The classification of methods for diagnosing motor failures is presented, and the advantages and disadvantages of existing methods for diagnosing failures in electric equipment are revealed. Based on the description of the methods of diagnosing electric equipment failures, a comparative table was compiled. Analyzing the comparative table of methods for diagnosing failures of electric equipment, the most current method for diagnosing the technical condition of the electric motor was determined.

The main directions of increasing the reliability and electrical safety of power distribution networks are considered in the article. The schemes of the main directions of development and improvement of electric grids are given.

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.

This article considers the theoretical application of measures to increase the efficiency of electrofilters installed at the electric power plant of "EEC" JSC. The author has identified the reason for the inability to achieve the efficiency of electrofilters close to 100%. Methods for increasing the efficiency of electrofilters for equipment installed at the electric power plant of "EEC" JSC are considered.

The possibilities of using controlled transformer-type shunt reactors at power grid substations to optimize the transmission mode are considered. The laws of voltage regulation, providing the mode of natural power and reduction of active power losses in the electrical system, are highlighted. Key words: energy complex, controlled transformer-type shunt reactor, voltage stabilization, thyristor voltage controller, control winding.

This article describes the main directions of socio-economic development of Pavlodar region, provides characteristics and dynamics of the main areas and sectors of the region, including the state of industrial production, agriculture, development of small and medium-sized businesses, the labor market, trade, electricity, heat and water supply, construction. The region is characterized by a progressive and diversified economic structure. In the structure of industry of Pavlodar region the largest share is occupied by the manufacturing industry. The priority direction of development of the regional economy in the context of ensuring its socio-economic development is the development of small and medium-sized businesses

The article provides a mathematical description of an induction motor with a device for indirect control of the electromagnetic moment and angular velocity of an induction motor in an electric drive, which allows substantiating on its basis a method for controlling the output variables of an asynchronous electric motor. A simulation model of an induction motor with an indirect control device for the output variables of an induction motor and the main results of the study are presented.

The article is devoted to the task of automating the assessment of the electrical safety level of electrical installations based on the determination of the electrical resistivity of soil layers ρ in specific climatic conditions. The soil ρ value depends on many factors, which can vary significantly during the year. Therefore, the decision was made using modeling based on one of the areas of artificial intelligence: fuzzy logic.

The article analyzes the state and problems of cluster development in the real sector of the region based on the materials of the Pavlodar region. The main problem of innovative development of the Pavlodar region, as well as in all regions of Kazakhstan, in general, is the lack of innovative activity of enterprises, which is reflected in the volume, frequency and efficiency of their innovations. At the same time, most of the enterprises belonging to the real sector of the economy have sufficient resources for the development of innovative activity. However, the prospects for their interaction with enterprises in other sectors and sectors of the economy for the purpose of technology transfer are insignificant, which, in general, doesn’t meet the principles of balanced spatial development of the territory formulated by the program for the development of territories of the Republic of Kazakhstan until 2020. One of the ways to solve this problem is formation and development of a cluster approach and interaction of business entities. The article assesses the efficiency of the cluster’s functioning as an institution of regional development. On the example of the metallurgical cluster of Pavlodar region, the main ways and methods of forming cluster initiatives in the regional economy are considered, a SWOT analysis of the development of the metallurgical cluster of the region is given, and its main problems are identified; identifies priority directions of clusters’ development (metallurgical cluster, including the production of final products, the cluster of railway engineering, agri-food cluster), the realization of which in the region could create the conditions for the emergence and full development of a number of new highly specialized sectors such as cluster chemistry, cluster of road and construction machinery, transport logistics cluster, cluster of modern production technologies and engineering, cluster of manufacturing components for machinery and equipment and cluster of industrial electrical engineering and equipment for power engineering. The authors also noted that the realization of regional development strategies of cluster initiatives can potentially lay the foundations for clusters “future days”, such as: cluster of resource efficiency and environmentally processing, the cluster of new energy, the cluster of innovative medicine, tourism and recreational cluster.

The progress of work on the creation of an "intelligent transport system" in Kazakhstan, the development and modernization of the road industry will be reported. The economic and social effectiveness of several transport corridors and new projects were analyzed. Transport corridors of foreign countries, methods of providing logistics services were presented. In his address, the head of state paid special attention to the issues of digitalization of all spheres of life of the population, including the transport sector of Kazakhstan. Currently, the Ministry of investment and development of the Republic of Kazakhstan is working on the creation of an "intelligent transport system" within the framework of the state program «Digital Kazakhstan» (ITS). ITS goal is to systematically integrate transport infrastructure, transport devices and users with modern information and communication technologies aimed at improving the safety and efficiency of the transport process. The concept will include 11 components in ITS. One of them is a special automated measuring instruments (UAVs), which are installed in the main automobile corridors. This device is designed to measure moving vehicles without contact and eliminate unjustified stops. This year, it is planned to put into operation 10 units of RSPP, and by 2020 it is planned to increase their number to 46 units. It is also planned to introduce a traffic management system that will inform drivers about the situation on the roads, a system for forecasting and analyzing climatic conditions, which is carried out through a network of weather stations along the roads, a network of video monitoring and special video cameras for detecting traffic violations, toll road systems that cover the cost of maintenance of the national road network, etc. They will be introduced in stages until 2021. The implementation of this project will reduce road deaths, increase the volume of transit traffic and the speed of logistics services, fully cover the main highways with measuring instruments and create favorable conditions for drivers on the roads. Such systems are already operating in South Korea, Japan, Australia, Europe and the United States.

Main problem: In the 18th century, when industrial production began, the use of steam and mechanized production caused major changes in the economy. As a result, production costs decreased along with an increase in the quantity and quality of products. During this period, production underwent a revolutionary transition from manual labor to mechanization. The potential impact of Industry 4.0 on labor markets remains an under-explored scientific field. It is estimated that Industry 4.0 will lead to unemployment by changing the employment structure and will bring new structural problems in terms of unemployment and labor relations. Purpose: The purpose of the study was to establish the impact of Industry 4.0 on the labor market and identify the consequences of the impact. Methods: studied, the evolution of production development, when mass production with electricity led to the Age of Industry 2.0, and then the emergence of the digital revolution, the use of electronics and information technology in production processes, marked the beginning of the Age of Industry 3.0. It is expected, according to international experts, scientists, that automation and robotic production will have a serious impact on the unskilled workforce and cause a critical reduction in the labor force of vulnerable sectors of society, that is, women, migrants, youth and the elderly. Results and their significance: This study assessed the possible impact of the fourth industrial revolution on labor markets. Through a literature review and analysis of emerging trends in Industry 4.0, the risks, opportunities and challenges of the process are explored in a comparative perspective. It has been established that countries must correctly perceive the transformation of labor markets and take appropriate measures. Otherwise, the applied labor-based low-cost industrialization model will lose its comparative advantage

The main problem: This article is devoted to the key problems of the fuel and energy complex of the Republic of Kazakhstan: 1) lack of production capacity to meet the growing demand for energy and fuel from the economy and the population. Increased demand for electricity and heat, which will require the commissioning of new generating capacities.There is already a shortage in the fuel markets. Modernization and bringing the existing oil refineries (hereinafter referred to as refineries) to full capacity will not allow providing the domestic market until 2030; 2) the export orientation of raw materials, the dependence of the economy on the export of energy resources. In order to attract technology and investment in the oil and gas and nuclear industries, agreements on the extraction of energy resources were concluded with international export companies. In the medium term, Kazakhstan may face a shortage of oil for domestic refineries, if measures are not taken to stimulate its refining within the country. The uranium mined is fully exported; 3) high energy intensity of the economy, low level of energy efficiency. There is a high potential for increasing the efficiency of energy use both in the electric power industry and fuel production, and at the level of final consumption – in industry and housing and communal services; 4) decrease in the replenishment and quality of the resource base in the oil and gas, coal and nuclear industries; 5) low environmental friendliness of technologies used in the fuel and energy complex. Purpose: The purpose of the article is to reveal the problem in the field of ensuring the fulfillment of international obligations between different countries and their own energy sufficiency by gradually changing the structure of energy production. Methods: Studying the experience of increasing the efficiency of the use of energy resources and energy saving as a priority of the state policy of the country. Analysis of production capacity with a constantly forecasted shortage of primary energy resources and insufficient growth of capacity for the production of electricity and heat. Consideration of the possibility of compensating for the shortage by saving energy resources, increasing tariffs for energy carriers, as a stimulating factor for their effective use. Results and their significance: The results of this article will reflect the problems of energy, as the most important driving force of global economic progress. The well-being of the people depends on the state of the country's energy sector, therefore there is an urgent need to solve the emerging problems. The global energy problem is, first of all, the issue of stable and efficient supply of fuel and energy to mankind. Today, the energy sector of Kazakhstan is focused on fuel resources, since the country is provided with hydrocarbons and other energy resources. About 72 % of electricity in Kazakhstan is generated from coal, 12,3 % from hydro resources, 10,6 % from gas and 4,9 % from oil. Thus, the four main types of power plants generate 99,8 % of electricity, while alternative sources account for less than 0,2 %.

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.

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.

The article discusses the experience of developing a computer video game by a team of students of the Department of Information Technology of the Innovative University of Eurasia within the 48-hour competition «48h Game Making Challenge» for creating video games, held in Pavlodar on October 27-29, 2022 in the IT-Hub building of the College of Information Technologies (93 Lermontov St.). Basic information about the event and a link to the registration form were published on the Instagram @digital_drive14 social network page and on the website https://digitaldrive.kz /. 8 teams from different educational institutions of Pavlodar participated in the competition. The purpose of the article is to comprehend the practical experience of developing a computer game. The team chose the Unity game engine as the environment and the main tool for developing a computer game. The Unity program is a popular development environment for interactive 2D and 3D content. The engine is completely free for the average user. The Unity engine was also chosen because it is multifunctional and uses a component-oriented approach, in which the developer creates objects and adds various components to them. The advantage of the engine was also the presence of a huge library of assets and plugins, with which you can significantly speed up the game development process. The graphics of the game were made in Photoshop. The music and sounds were taken from free sources. InEU team developed a computer game «Conqueror of the Moon» and became the winner of the contest «48 Hour Game Making Challenge Pavlodar 2022». During the development of the game, the team first chose the engine, developed the plot and concept of the game, created an image for the level and menu. Then the programmer developed the mechanics of the game, wrote code for control, time, dialogues, messages. The designers drew the environment, background, characters, created all the animations for the game and found music for the background of the menu and the game itself.

Main problem: Monitoring the reliability of the foundation of roads, buildings and engineering structures is an important aspect of geophysical research. Modeling of geological heterogeneities is relevant. Moreover, the use of computer modeling in this problem is associated with computational costs. Purpose: Analysis of the vertical electrical sounding (VES) method for modeling the physical properties of soil and their changes when exposed to elastic vibrations. Methods: To achieve the goal, the vertical electrical sounding (VES) method was used, using a one-dimensional model of the geological environment. The direct VES problem was solved by calculating the Hankel integral. Results and their significance: The study made it possible to model a large number of soil layers using the VES method. The results obtained make it possible to determine the parameters of detected objects and changes in the characteristics of the controlled environment when exposed to elastic vibrations. The significance of the results lies in the possibility of improving the method for modeling the physical properties of soil and taking into account their changes under the influence of elastic vibrations, which helps to increase the efficiency and accuracy of monitoring the reliability of the foundation.