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The possibility of using local materials in the construction of structural layers of pavement is considered in the paper. The paper presents a method of technical and economic analysis, for which it is necessary to know the calculated deformation moduli of the materials being compared. Knowing the turnaround time for each of the options under consideration, it is possible, by comparing them with the payback periods, to more fully identify the technical and economic features of such options. The main criterion for the admissibility of the use of local material in the corresponding structural layer is the equal strength of pavement structures or individual structural layers made of local and imported materials. The criterion of economic feasibility of using local material can be written as an inequality. Using the principle of equivalence of systems, it is possible to replace individual structural layers of pavement, made of certain materials, with equivalent layers of stiffness from other materials, increasing or decreasing their thickness, depending on the strength characteristics of the materials themselves. The main condition for the technical feasibility of using local material has been determined on the basis of the condition of equal strength structures made from local and imported materials. A schedule for preliminary determination of the technical and economic feasibility of using local materials in the structural layers of road pavements has been built. The total value of the investment costs can be used as an additional criterion for the economic benefits of the compared options.

The paper proves that speech genres as forms of text production and interpretation claim to be one of the main objects of formal linguistic analysis in comprehensive papers on cognitive modeling – an intensively developing trend of artificial intelligence. Understanding a speech genre as a form of spiritual socio-cultural activity (artistic, scientific, political, ideological, etc.) at the level of its objectification through a system of speech actions in the text as a communication unit allows to describe the systems of speech genres in various spheres of communication. The authors analyze speech genres which objectify the main stages of an academic theoretical research. By means of artificial intelligence, the research solves the problem of recognition of the speaker’s intentions while performing cognitive-speech actions forming the genre form of a text. It contributes to the development of the fundamental problem of “understanding” the meaning of an utterance by a machine. The research is based on the interdisciplinary complex method of text analysis. In terms of software implementation, the offered approach obtains a small set of high-level linguistic features of the clauses with the templates and then trains classifiers on these features. In order to create templates, the authors carry out linguistic and psychological analysis that deals with identifying markers of cognitive and speech actions as accurately as possible in accordance with the standards of perception. In the course of our study, the authors have obtained high indexes of cognitive and speech action identification, ranging from 0.78 to 0.99.

The paper is devoted to explaining the key cognitive distinctions characteristic to translation process and its teaching. Among them are linguistic interpretation of the input text’s contents, its conceptual adaptation to the accepting culture, etc. To demonstrate them, multiple examples are given to show that translators, particularly not trained enough, often choose for basic translation dominants in the accepting culture those equivalents that are primarily purely linguistic, ignoring conceptual and cultural background of the original and the accepting culture’s notions and forms. Meanwhile, the latter help avoid such translation failures as literal / word by word translation, etc. Special attention in the paper is paid to the translation into the foreign, English, language, its contrastive culture-specific and communicative features as compared to those in the Russian language: to their cognitive dominants in communication and their cross-linguistic asymmetry and in-congruency which generate quite «natural» cross-linguistic interference in Russian-English translation. It is particularly obvious when there are extensive textual nominal ex-pressions, especially terminological, which demonstrate at present an active, extensive and productive usage in English, but present a serious problem in teaching English as a foreign language and translation into it. It is also shown that in Russian their cross-linguistic idiomatic analogues are language specific and show different patterns, but still can be adequately matched with their foreign counter-parts.

Objective. The purpose of the article is to analyse the existing methodology used to assess the efficiency of automated information security systems by studying open literature sources, international and industry standards of the Russian Federation on information security of automated systems, guidelines and orders of the Federal Service for Technical and Expert Control of Russia, as well as departmental orders, instructions and regulations on information security at informatization facilities of internal affairs bodies. The analysis results in identifying the advantages and disadvantages of the specified methodology, as well as the possibilities of its use when conducting a quantitative assessment of the efficiency of access control subsystems of information security systems at the informatization facilities of internal affairs bodies. Methods. To achieve this goal, the method for system analysis of approaches used to assess the efficiency of information security tools and systems has been applied. Results. The paper presents results of analysing the main approaches used to assess the efficiency of tools and systems for information security of automated systems. The paper determines the relationship between the efficiency indicator of access control subsystems of information security systems and the main disadvantage of their use in protected automated systems of internal affairs bodies. The paper substantiates main directions of improving the existing methodology, proposes methods and indicators for quantifying the efficiency of access control subsystems (including those modified on the basis of using new information and communication technologies) of information security systems in protected automated systems of internal affairs bodies. Conclusion. The results obtained can be used to quantify the security level of existing automated systems and those being developed at informatization facilities of internal affairs bodies.

Objective. One of the most effective ways to assess thermal protection of construction facilities of various applications is thermal control. Methods. According to the national standard “Method for thermal imaging quality control of thermal insulation of enclosing structures” in force on the Russian Federation territory, the results of thermal imaging monitoring of capital and completed construction facilities are divided into qualitative and quantitative depending on set goals and objectives. Qualitative assessment involves computer processing and visual interpretation of thermograms using specialized software. Quantitative analysis of thermograms involves determining and numerically comparing parameters of reference areas and characteristics of defects detected in an object being under thermal control. Results. The paper describes particular characteristics and results of qualitative and quantitative analysis of thermograms (thermal images) obtained via thermography of fragments of external enclosing structures of a completed construction facility—an apartment building. The paper analyses existing methods of a quantitative assessment of thermograms described in regulatory documents and methodological recommendations, and presents specific examples of their application. Conclusion. Thermal imaging diagnostics makes it possible to qualitatively and quantitatively assess the level of thermal protection of the outer shell of an object under control by “decoding” thermograms and comparing calculated parameters with standard indicators.

The article presents an analysis of modern methodologies that are successfully used for the development of innovative products and ecosystem platforms. The paper describes the tools of the “Jobs To Be Done” approach. The author highlights the differences between the two concepts “Jobs-As-Activities” and “Jobs-As-Progress”. The study emphasizes the importance of studying the digital client path. The publication presents by step-by-step an algorithm for constructing a strategy for bringing a new offer to the market based on the “Jobs To Be Done” method. The article presents examples of filling in the Job stories Canvas, interview framework in “Jobs To Be Done” format, Process Making Forces Canvas.The study shows the tools that are successfully used in creating a business strategy based on an ecosystem platform. The paper substantiates the importance of customer-oriented approach and switching to an ecosystem approach to the development of a business model. The author highlights the benefits from the ecosystem of the user, business owner and partners.The study gives an overview of ecosystem types according to the Gartner classification with examples in Russian ecosystems. The author provides tools of the Platform Design (Platform Innovation Kit) which allow you to develop an integrated environment for the development of the customer experience, to improve consumer goods and services: VRIO framework, a Matrix of Motivation, the Ecosystem Platform Relations Canvas, Training Mechanism Canvas, Value Proposition Canvas and Platform Business Models Canvas. These tools expand the design thinking portfolio.

The article considers the integrated Lean Six Sigma methodology. The author shows that today enterprises use the Lean Six Sigma methodology to improve production indicators, optimize the product portfolio, achieve strategic goals. The paper clarifies the essence of the American (Six Sigma) and Japanese (Lean) enterprise management methodology. The study highlights some features, system tools and methods of continuous improvement in the framework of the implementation of the integrated Lean Six Sigma methodology at the enterprise. The article highlights a number of key success factors for the implementation of this methodology. The paper proposes the criteria for assessing the readiness of the enterprise to its implementation. The scientific novelty of the study is that the author identified the advantages and problems of implementing the Lean Six Sigma methodology at enterprises. The author made a proposal on the need for mandatory assessment of the company's readiness to work on the Lean Six Sigma methodology using fuzzy logic tools, and also highlighted the stages of its implementation. The practical significance of the work done is that it can serve as a basis for further scientific research in the field of the Lean Six Sigma methodology.

In recent years, intensive research on urban transport has been observed. The search is about finding such solutions that will enable, among others: increasing the importance of public transport, matching transport for the needs of people with reduced mobility, increasing capacity, reducing emissions, energy efficiency (technical and organizational dimension through the organization of transport on demand), increasing the vulnerability to recycling and remanufacturing. The paper presents the main concept and technical solutions of the innovative transport system – HMASSUT Prometheus (Hybrid Modular Autonomous System for Sustainable Urban Transport), which combines the concepts of personal rapid transport and an electric vehicle at the L4 autonomy level (according to the Society of Automotive Engineers classification). An assessment of the effectiveness of an innovative transport system using indicators used in road engineering is given in the paper. The concept of simulation and optimization of the transport network is presented together with the theory of cellular automata.

The paper presents a sensitivity analysis of the developed mathematical model of expert evaluation of investment projects. Processes of investment projects implementations are analyzed as decision-making processes under uncertainty. The mathematical model under study evaluates the effectiveness of an investment project using the NPV index. This index is considered a random variable and can be estimated by an investor as a segment [NPV1; NPV2J. The proposed mathematical model utilizes the probability density function of NPV in the form of Pearson curves of the first type. Another peculiar feature of the mathematical model is utilization of the subjective utility function in decision making of whether to invest or not to invest in some project. The subjective utility function considers individual characteristics of investors and their decision making under risks and uncertainty. Perception of additional information by investors changes depending on their attitude toward risk and missed opportunities and thus reduces uncertainty in decision making. The paper studies this step in detail and provides some conclusions proving the correctness of the developed mathematical model., Проводится анализ чувствительности модели экспертизы инвестиционных проектов к изменению входных параметров. При этом рассматриваются процессы реализации инвестиционных проектов в условиях неопределенности. В рассматриваемой математической модели эффективность проекта оценивается показателем NPV, значения которого случайны и известны инвестору в виде отрезка: NPV∈ [NPV1; NPV2J. В предлагаемой модели используется функция плотности вероятности NPV проекта в виде кривых Пирсона первого типа. Еще одной особенностью модели является использование функции субъективной полезности решений о принятии и отклонении инвестиционных проектов, позволяющей учесть индивидуальные особенности инвесторов при принятии решения в условиях рисков и неопределенностей. В зависимости от отношения инвесторов к риску и упущенным возможностям изменяется их восприятие дополнительной информации, сокращающей неопределенность при принятии решений. Этот момент подробно исследован в данной работе, и получены выводы, подтверждающие корректность рассматриваемой математической модели.

The article deals with the issues of synthesis and analysis of information-measuring and control systems of quadrocopters. The main sensors and modules used to determine the parameters of the coordinates of quadrocopters are given. The speed-controlled electric drives used for control and the features of their choice are considered. The coordinate systems (fixed and mobile) and the kinematic scheme are given, according to which a system of differential equations is presented. The system describes the dynamics of the quadrocopter movement and takes into account the expected smooth movement of the quadrocopter with small roll and pitch angles. A functional scheme and a mathematical model of the information-measuring and control system of the quadrocopter in the form of a block diagram are developed taking into account the influence of delays in the receipt of information from the sensors of the quadrocopter parameters. A special feature of this work is to take into account the specific characteristics of the elements: adjustable electric drives (both direct and alternating current), parameter sensors (barometers, accelerometers, rangefinders, etc.). The paper studies an illustrative algorithm for the operation of the informationmeasuring and control system of the quadcopter. The type and parameters of the controllers of the quadrocopter control systems are determined. Special attention is paid to the settings for the control contours at the corresponding coordinates. The influence of the controllers of the coordinate control systems of the information-measuring and control systems of the quadrocopter on the effects of the interaction of coordinates is considered. The simulation results are presented. The optimal number of control loops for the coordinates of the information-measuring and control systems of the quadrocopter and the optimal type of settings for obtaining smooth transients (without overshoot) and for excluding the interaction of coordinates on quality indicators are determined.

Objectives.The modern world is associated with a clear dependence on it. The number of consumers is growing exponentially. In order to minimize the costs of enterprises, an assumption was made about the rationality of the number of nuclear power plants. When considering the timing of the construction of nuclear complexes, an excessive duration of the manufacture of power and control equipment for nuclear power plants was revealed. In order to reduce time costs, it was proposed to standardize the work of assembly, assembly and packaging production associations.Method.Research in this area was practically not carried out and were, often, of an episodic nature. Initially, it was believed that the operations of the technological process of manufacturing equipment should be rationalized by classical methods, however, in the previous works of the author, a new approach was proposed, based on the analysis of the characteristics of the employee employed in the technical process, the specifics of the type of operational work, as well as various disturbing factors that negatively affect the production time. Then the systematization of the obtained data and their further modeling is carried out.Results. The paper shows the derivation of the final equation for the assembly of the frame of power and control equipment for nuclear power plants. The substantiation of the applied methods was given, the target audience was indicated, the regulatory framework was taken into account. In addition, the results of previous works are shown, on the basis of which the mathematical model was built. Separately, recommendations were given on the additional use of the functions of the resulting equation.Conclusion.The equation obtained in the work makes it possible to calculate with maximum accuracy the time spent on assembling the frame of the power and control equipment for a nuclear power plant. The principles shown in other works can be used in an area that has directionality with minimal model change.

The quality of service (QoS) in networking is the process of managing network resources to reduce packet loss and to lower network jitter and latency. QoS has been widely used in traditional network and can also be implemented in the 5G standard based on a software-defined network (SDN). A traditional network carries several challenges, such as vendor dependency, the complexity of managing a large network, dynamically changing forwarding policies, and more. Software-defined networking is a new networking strategy designed to address the challenges of a traditional IP network, such as high levels of complexity and inability to adapt to the new quality of service requirements in a timely manner. The fundamental idea behind SDNs compared to the conventional networking paradigm is the creation of horizontally integrated systems through the separation of the control and the data plane while providing an increasingly sophisticated set of abstractions. Recently, various SDN-enabled QoS frameworks have emerged that offer many possibilities for network reconfiguration and high-level definition of policies. QoS requirements for 5G networks have been defined on the basis of three main categories of use cases: extreme mobile broadband (xMBB), massive machine type communications (mMTC) IoT/M2M devices, and highly reliable М2М-communication (ultra-reliable machine-type communications – uMTC). This paper analyzes and surveys the QoS based on the openflow protocol method and QoS based on open-source SDN controllers method in 5G network. In addition, we discuss various architectural issues of open-source SDN controllers network and examine their impact on the QoS. Furthermore, we outline the characteristics of the QoS parameters such as latency, availability, reliability, jitter, and bandwidth in the 5G network. Finally, the article discusses and compares parameters of the QoS in 5G determined by world’s leaders in 5G technology.

This paper aims to develop a theory of statistical observation in terms of scientific and methodological approaches to processing big data and to determine the possibilities of integrating information resources of various types to measure complex latent categories (using the example of social comfort) and to apply this experience in practice through the use of the financial situation indicators in forecasting. The authors have built a social comfort model in which the choice of weights for its components is based on a modified principal component analysis. The assessment is based on Google Trends data and official statistics. Google Trends data analysis methods are based on the development of an integrated approach to the semantic search for information about the components of social comfort, which reduces the share of author’s subjectivity; methodology of primary processing, considering the principles of comparability, homogeneity, consistency, relevance, description of functions and models necessary for the selection and adjustment of search queries. The proposed algorithm for working with big data allowed to determine the components of social comfort (“Education and Training”, “Safety”, “Leisure and free time”), for which it is necessary to directly integrate big data in the system of primary statistical accounting with further data processing and obtaining composite indicators. The authors conclude that a stable significant correlation has been found for the “Financial Situation” component, which makes it possible to use it for further calculations and extrapolation of financial indicators. The scientific novelty lies in the development of principles and directions for the integration of two alternative data sources when assessing complex latent categories. The findings and the results of the integral assessment of social comfort can be used by state statistics authorities to form a new type of continuous statistical observation based on the use of big data, as well as by executive authorities at the federal, regional and municipal levels in terms of determining the priorities of socio-economic policy development.

Introduction. The development of robotics in many advanced countries has raised various industries to a high level. The demand for robots increases the share of their use in production tasks, mainly in the motor-vehicle and electronics industries. Advanced robotics can increase productivity in many industries by 30%, while reducing labor costs. Automation of technological processes of electronics production has a positive impact on the use of robots. Robots are used in construction, logistics, oil and gas, aerospace, plant engineering and construction, mining, healthcare, etc. The authors consider robots from the point of view of their application in medicine for the rehabilitation of musculoskeletal patients. This paper describes the mechanisms for controlling the feet and the center of mass of a humanoid robot.Materials and Methods. The authors chose the simplest algorithm for searching for the law of motion control of a humanoid robot. The robot movement was presented as a reverse pendulum. Using the large kinematic redundancy of walking robots, we have developed a way to control the robot in such a way as to bring the dynamics of its movement to the reverse pendulum as close as possible. At the same time, the problem of determining the generalized coordinates is considered, at which a given position and orientation of the transferred foot and a given position of the projection of the center of mass (CM) of the robot onto the reference surface are provided.Results. The authors have developed a digitalized automatic control scheme for the movement of the feet and the center of mass of the human exoskeleton, which will largely reduce the load on a sick person.Discussion and Conclusions. When discussing the results, comparing the data of the tables obtained during the calculation, the following conclusion was made. The scheme for controlling the feet movement of a human exoskeleton developed by the authors is most effective when designing an automatic scheme for controlling the movement of the feet and the center of mass of a human exoskeleton using digital technology, which will largely reduce the load on a sick person.

Integrated circuits, systems on a chip are the key links in various industrial systems and state defense systems. The emergence of counterfeit integrated circuits, problems of piracy, overproduction, unauthorized interference in the design of microcircuit, hardware Trojans require the development of methods and means of their timely detection. Trojans can be introduced into the integrated circuits structure both on the development stage and during the production process, including the stages of specification, design, verification and manufacturing. The inclusion of additional elements in the integrated circuits structure jeopardizes the functional suitability and reliability of the system as a whole. For the purpose of hardware protection of projects, the methods of hardware coding are currently used.The paper discusses the features and reliability of logical coding of combinational circuits. An algorithm for cracking the code of combinational circuits is proposed, based on the description of encoded structure by the resolution function and reducing the problem to SAT CNF. The initial data for decoding the structure of a digital device is the structural implementation of encoded circuit, obtained, for example, by reverse engineering (prototype design), as well as an activated physical sample of an integrated circuit, when into protected from unauthorized access memory the correct key value is loaded. This sample can be used as a black box model. The main idea of breaking a key is to solve a problem without research on a large interval of values of input and output variables.

The paper concerns the problem of improving energy efficiency and the quality of air temperature automatic control in industrial greenhouses. The article proposes a method based on the principle of disturbance compensation using weather forecast data. The plant dynamic model structure is described by the linear 1st order aperiodic link with delay both for the control circuit and for the disturbance circuit. To solve the problem of time delays in the plant mathematical model it is suggested along with the use of outside temperature sensor signal to take into account the weather forecast data for the outdoor temperature changes over the specific forthcoming interval of time. It allows the controller to generate appropriate compensation control signal in advance. The block diagram of the automatic control system of the greenhouse temperature is given. Theoretical mathematical expressions for the regulation algorithm and analysis of regulation quality are obtained and the results of numerical modeling of the temperature control process are presented. The proposed automatic control method can be used to regulate the air temperature in buildings with high requirements for microclimate parameters.

In the process of performing a complex of works on refueling of civil aviation aircraft, one of the key issues is to ensure flight safety by controlling the quality of aviation fuel directly during refueling operations. Currently, to ensure the purity of the refueled jet fuel, water separators with filter elements of a normalized degree of purification are installed on the aircraft refueling facilities, the operation of which in the working area provides normalized indicators of cleaning jet fuel from water and mechanical impurities. As practice shows, in the process of refueling aircraft, for various objective and subjective reasons, sometimes there are stochastic situations in which quality indicators go beyond the limits established by regulatory documentation and are not deterministic, and the subsequent state of such a system is described by values that characterize an extremely low level of jet fuel purification with negative consequences for flight safety. This paper presents a mathematical description of the functioning of water separator filters in the working area, where standardized indicators of the quality of aviation fuel are provided during the refueling of aircraft. The article deals with the issue of blocking the refueling of aircraft in the event of the appearance of non-normalized technical documentation indicators of the quality of aviation fuel, which arise due to a number of different factors that lead to negative cause-and-effect relationships for flight safety. Based on the mathematical description, an approach to creating a system for protecting and blocking the refueling process under the working name "Barrier" is proposed. Of the greatest interest for the study are typical water separator filters installed on refueling vehicles as terminal technical devices for fuel purification during refueling of aircraft.

One of the main directions in the development of optical communication systems is associated with the use of optical fiber (ОF) for data reception and transmission. Therefore, manufacturers began to pay special attention to the creation of new brands of OF, improving their optical and operational characteristics. This makes it possible to improve existing optical fiber components that use OF as an active medium. The most widely used are two-wavelength 1 × 2 WDM multiplexers/demultiplexers designed to separate and combine optical carriers with wavelengths of 1310 and 1550 nm, corresponding to the second and third transparency windows of quartz OF. It should be noted that multiplexers and demultiplexers are the same optical devices, which are spectrally selective splitters. Such devices are distinguished by a sufficiently high level of optical characteristics at a relatively low cost of products. However, an analysis of the multiplexers produced in recent years shows that the characteristics of these devices do not sufficiently correspond to the set of modern requirements imposed by most system developers, in particular on permissible values of external influencing factors, insertion loss and the value of optical isolation of channels. Therefore, the development and research of WDM multiplexers with improved optical characteristics is relevant. One of the possible ways of optimizing such devices using new types of OF with resistance to bending losses, of which WDM multiplexers could be made. In this paper, we consider the possibilities of realizing fused single-mode multiplexers/demultiplexers based on combined fiber structures. The technology and equipment for the manufacture of these devices are presented. The optical characteristics of experimental samples of WDM multiplexers are investigated. The results of testing for the effect of temperature are given.

The article is devoted to the epistolary heritage of the legendary philologist of the XX century — Professor Boris Viktorovich Tomashevsky (1890—1957) and his relations with the leading scientists in the context of historical, literary, linguistic and ideological polemics mainly of the 1930s and 1950s. The paper emphasizes the contribution of the scientist to the development of world science in the era of cultural upheavals. Special attention is paid to the publications of unknown epistles to B.V. Tomashevsky by domestic and foreign philologists: I.L. Andronikov, G.O. Vinokur, D.S. Likhachev, A. A. Reformatsky, B. Unbegaun, M. Vasmer, R. O. Jakobson. The published letters describe the situation in science of that period: they show the difficulties in working on the publication of Pushkin’s “Complete Works”, reveal the polemics around controversial issues of the theory and practice of the text, express the attitude of cor-respondents to the facts of ideological pressing on science, describe the difficulties of wartime, etc. B. V. Tomashevsky’s epistolary is also considered in the context of the role of Soviet linguistic personality in creating scientific tradition. The relevance of the study is due to the use of archival mate-rials in the paradigm of the humanities to clarify poorly studied facts of the 1930s and 1950s.

Gigabit passive optical networks (GPON) are the most advanced technology. The data transfer rate is 2.5 Gbps for downstream and 1.25 Gbps for upstreams. But this network architecture has a limited physical network length of 20 km. This is due to the high budgetary losses of the network. This restriction of access makes the network difficult to access for subscribers located far from the facilities of the telecom operator, and coverage of remote settlements is quite costly (cost of design work, fiber, laying of fiber-optic cable), thereby complicating the elimination of the digital divide between the city, the suburbs and the countryside. To solve this problem, it is proposed to use quantum dot semiconductor optical amplifiers (QD-SOA), which will expand the GPON reach up to 60 km, which is the limit for the logical length under the current protocols. Quantum dot semiconductor optical amplifiers are promising devices for optical communication technology, but for commercial use they have one disadvantage. They are polarization sensitive. In this paper the authors constructed a polarization diversity scheme to avoid polarization sensitivity of QD-SOAs.

Sintered friction materials are widely used in friction units of automotive vehicles and special purpose vehicles. The main purpose is to transmit torque to the actuator. The development of the technology market requires the development and use of new units. At the same time, the creation of new materials is required, which also applies to sintered friction materials. This group of materials is characterized by a high service life, efficiency of torque transmission, as well as the ability to restore performance in case of violation of operating modes. One of the most significant parameters characterizing a sintered friction material is wear resistance. In most cases, it determines not only the resource of the unit itself, but the entire machine as a whole. A special place is occupied by brake units, which also use friction materials. The increased wear resistance of the friction material contributes to a decrease in the efficiency and service life of the brake system. Evaluation of the wear resistance of a friction material for the given operational parameters is a very long and costly process. The development of methodology and methods for accelerating the assessment of wear resistance is an important scientific and practical task. The paper presents the results of using artificial neural networks to predict the service life of a composite friction material based on copper on the sliding speed, pressure on the material and the amount of lubricant supplied to the friction zone. An artificial neural network has been trained using an array of experimental data for the FM-15 friction material. The training results have shown high accuracy, correctness of the proposed and implemented network architecture. The developed software has demonstrated its efficiency and the possibility of using it in calculations to determine the wear of a composite friction material.

The article studies examples of the use of innovative technologies in the field of “Smart City”, which is a key factor contributing to the implementation of the concept of “Smart City”. The paper presents various approaches to the implementation of information technologies, analyses case studies on the management of smart cities of the world, which justify the change in the approach from isolated vertical management to integrated holistic management. The study also analyses various examples of the use of innovative technologies and approaches in the context of “Smart City”, identifies the trends in their development. At the end, the authors carried out the analysis of the domestic experience of applying the concept of “Smart City” and the results achieved.

The analysis of scientific papers devoted to the mathematical description of electric generators of reciprocating motion with permanent magnets demonstrated that the proposed mathematical models of this type of generators are based on the theory of magnetic circuits. Such mathematical models are based on a simplified representation of the magnetic system and the magnetic field in the form of a magnetic circuit with corresponding magnetic conductivities. However, unlike traditional rotary type electric machines, electric generators of reciprocating motion have a number of features, the omission of which in mathematical modeling causes the increase of the cost of their creation (due to the duration of the design and experimental refinement of the generators). Therefore, at the initial stages of electromagnetic calculation and solving optimization problems, it is necessary to use adequate mathematical models to improve the accuracy of calculations of the parameters of these generators. For this purpose, a mathematical model based on field theory can be used; however, its main drawback is the complexity of its application for solving optimization problems. In this regard, to improve the accuracy of calculations of the parameters of electric generators of reciprocating motion with permanent magnets, it is proposed to use refining coefficients (coefficients of scattering and buckling of the magnetic flux) in mathematical models based on the theory of magnetic circuits. The authors have developed refined electromagnetic models of electric generators of reciprocating motion with permanent magnets, which make it possible to obtain the main parameters of generators at the initial stages of electromagnetic calculation and when solving optimization problems with acceptable accuracy. A distinctive feature of the refined electromagnetic models of generators is the consideration of the scattering and buckling coefficients of the magnetic flux in the magnetic system that change during the simulation.

In the XXI century, “trust” becomes a category that manifests itself in a variety of ways and affects many areas of human activity, including the economy and business. With the development of information and communication technologies and end-to-end technologies, this influence is becoming more and more noticeable. A special place in digital technologies is occupied by human trust when interacting with artificial intelligence and machine learning systems. In this case, trust becomes a potential stumbling block in the field of further development of interaction between artificial intelligence and humans. Trust plays a key role in ensuring recognition in society, continuous progress and development of artificial intelligence.The article considers human trust in artificial intelligence and machine learning systems from different sides. The main objectives of the research paper are to structure existing research on this subject and identify the most important ways to create trust among potential consumers of artificial intelligence products. The article investigates the attitude to artificial intelligence in different countries, as well as the need for trust among users of artificial intelligence systems and analyses the impact of distrust on business. The authors identified the factors that are crucial in the formation of the initial level of trust and the development of continuous trust in artificial intelligence.

The problem of analytical synthesis of the control acceleration for an unmanned aerial vehicle (UAV) during its flight along a complex trajectory, consisting of sequentially located horizontal flight sections, located at different heights relative to the earth's surface has been solved in the paper. The problem has been solved as an analytical definition of the optimal control of a linear non-stationary system for a specified minimized quality functional. The mathematical model of the system is presented in the form of differential equations of UAV motion in the vertical plane of a fixed coordinate system related to the earth's surface. A feature of the proposed methodology for solving the problem is the substantiation of the original form of the minimized functional and parameters included in the law of variation of the control acceleration obtained by known methods. As the components of the quality functional, the values of coordinates and velocity of the UAV are considered and they are specified at the corresponding points in space through which the UAV path must pass, in order to obtain the optimal curvature of the trajectory. The derived mathematical dependences make it possible to implement them on board of an aircraft and, ultimately, solve the problem of ensuring the minimum energy consumption when controlling an object (UAV). Computer simulation of the analytically obtained results in the form of the UAV flight trajectory and the processes of changing its acceleration and speed have shown the efficiency of the proposed technique and the prospects of its use at the initial stage of the synthesis of the UAV control system.

The article substantiates the effectiveness of network training and e-learning technologies in the professional training and advanced training of engineering personnel at a technical university. The paper analyses e-learning technologies in the context of competence-based and activity-based approaches to the organization of the educational process. The study considers Universities as the core elements of the regional educational space, integrating and developing the potential of network interaction of its subjects. The authors propose the definition of the concept of “network educational space”. The article describes the experience of network training of personnel in the production sectors of the Ulyanovsk region in 2014-2020. Based on the analysis of the teaching practice of the Ulyanovsk State Technical University, the study proposes a model of the electronic information and educational environment of an educational organization. The authors formulate recommendations for the development of a network educational space in the region that meets the needs of the labor market.

Objective. In recent decades, criteria for identifying potential areas have evolved hand in hand with technological tools such as geographic information systems (GIS). However, the criteria for the preservation of protected areas are often not taken into account, thus causing damage to environmental biodiversity that can become irreparable. This paper presents the way of optimizing the process of locating key terrain points by developing a hybrid algorithm for geospatial analysis in QGIS. The goal is to speed up computational time, which is a critical variable for the entire key point detection process, and to suggest potential areas that do not pose a threat to biodiversity. Methods. The strategy used is based on two fundamental assumptions: identifying the tops of spatial objects (rivers) and analyzing the distances between spatial objects (rivers and adjacent territories). The tops extraction allows obtaining potential points, while the distance analysis allows selecting among them those points that are in the range acceptable for locating a dam, provided that the least possible damage to the biodiversity of the adjacent territory is caused. The algorithm was validated using the example of the hydrological network of Manicaragua, Cuba. Results. The results were compared in terms of the calculation time used, the number of valid tops extracted, and the percentage reduction in the total number of areas. This comparison was made using one, two and three vector layers (.shp) with spatial objects representing strategic protected areas. Conclusion. The results obtained show that the more representative the space data (.shp) used, the more effective the results obtained using the algorithm are in relation to environmental protection tasks. A reduction of up to 13% from originally detected key points has been achieved.

The article develops a methodological basis for choosing the optimal model for managing the agglomeration of settlements. The existing agglomeration problems and the need to accelerate growth due to the agglomeration effect form a challenge to the agglomeration governance system. For an adequate response it is important to understand the capabilities of governance models. These capabilities can be expressed through the description of the features of the models.For a large-scale description of the features of models, it is necessary to form groups of features, characterize each feature, compare the models according to the degree of its manifestation, and, if possible, explain the reason for the differences. The article investigates research papers within the framework of the theory of municipal reformers, the theory of public choice, in particular on the issues of centralization / decentralization of municipalities, intermunicipal cooperation, the efficiency of the economy of the public sector. The authors used general scientific methods of analysis, synthesis, grouping, comparison.The revealed features make it possible to assess the governance model in terms of what the agglomeration will receive from its implementation. All features are combined into five groups: economic, social, administrative efficiency, democratization, stability. The study revealed 29 features, presented their explanation and degree of development, depending on the type of governance model.As a result of the study, the possibilities for justifying the feasibility of introducing models have increased. The authors represented scientific novelty by a more complete list of the features of models, a more detailed presentation of them, the approach of presenting information “from features”, a convenient grouping that allows you to use the characteristic to assess the effectiveness of the activities of government authorities. The study can be useful for civil servants in charge of agglomeration processes.

The paper considers a digital image processing method that provides efficient transmission, redistribution and storage of aerospace environmental monitoring videographic information. The requirement to increase the monitoring efficiency, if necessary, to carry out regular monitoring of changes in the image field of the observed object is especially relevant when describing spatially aligned sets of images obtained after multi-zone, multi-time and multi-polarization shooting. In many remote sensing applications, the processing efficiency reflects the degree of reduction in the volume of transmitted, described, analyzed and stored videographic information. The computational processing of digital images based on the coordinate survey scheme is presented. The method can be used to perform the procedure for decoding images in order to solve the problem of classifying objects of interest, analyzing images. Such characteristics of binary objects as a spatial boundary and a contour were used as deciphering signs. These features make it possible to describe the shape of an object, its geometric parameters and search for images with specific spatial structures. The processing method is realized by executing efficient algorithms for coding an image on a discrete grid by means of a chain code and spectral coding based on the fast discrete Hartley transform. The result of processing comes down to minimizing the number of such basic computational operations as multiplication, addition, transferring, as well as reducing the time and capacitive complexity of the program, and reducing the redundancy of the initial data. An example of an effective representation and description of a segmented image of an object is given. The proposed method makes it possible to expand the technical capabilities of more efficient transmission and processing of images for solving problems in the field of remote sensing.

The purpose of the research is to develop and improve human resources of an organization by using a competence model in the field of lean production. The following methods are used: methods of generalization, comparative analysis, induction, decomposition, formalization, and modeling. The results: the paper defines the essence and necessity of a competency-based approach in mastering the philosophy, principles and tools of lean production. Nowadays, lean manufacturing is a harmonious frame of reference that can be represented in the form of four levels: philosophy, values, principles, tools. The widespread introduction of lean manufacturing allows you to improve processes, concentrate efforts on creating value for a consumer, and reduce the waste of time and resources of all kinds. Also, the article presents a matrix of lean competencies, which allows you to assess the most important competencies for specific positions and allows employees to compare their own ideas about themselves, their potential with the ideas of a manager and, in accordance with this, to orient their way of action in the field of lean production, advanced training. The conclusion: the development and improvement of human resources, including pedagogical, scientific and scientific and pedagogical workers, engineering and technical workers are directly dependent on the management system. The person who owns deeply the knowledge of lean production and the skills of their application in various fields: production, management, healthcare, education, social sphere plays the major role. Therefore, the competency model presented in the research in the field of lean technolo- gies will be focused on achieving strategic goals, improving organization processes, reducing losses, and therefore add value to the organization. Assessment of employees using the competency matrix will allow the head of an organization to analyze the approaches and tools used by him in the field of lean manufacturing and offer training in innovative educational programs and technologies that ensure high quality of development of lean competencies.

The publication considers topical issues of formulation, positioning and development of management theory in the system of socio-economic sciences and disciplines. The paper identifies signs, analyses the reasons, substantiates and proposes approaches, develops options for solving the systemic crisis of management science, its renewal and development in modern socio-economic conditions. The research presented in this publication determines and substantiates the key areas for improving the theory as a fundamental basis for the development of a complex of management disciplines. The authors propose and disclose the step-by-step content of the roadmap for the progressive expansion and deepening of research of modern concepts of management theory, their approbation, adaptation and use in scientific and educational spheres.

Practical modeling uses not only theoretical approaches, but also management issues, therefore, it is not entirely correct to compare theoretical and mathematical models. The concept of demand exists as an independent unit, has an independent meaning, and the demand model is represented in the form of an increasing curve and, like any model, contains various explicit and implicit conditions. The paper provides an analysis of existing classification approaches on the adaptation of economic and mathematical models in the issue of finding the most appropriate criteria for optimality from the point of view of using the mathematical apparatus. A detailed representation of the top-level structure is given, reflecting the basic requirements for the information necessary for drawing up a model passport, and conditions are also given that limit the area of existence of an operator that determines the corresponding payment matrix of an arbitrary game. The possibility of establishing the number of restrictions on the used variants of the game, which does not change the content of the game, is analyzed, which will allow choosing the most optimal strategies for each case. The proposed and justified, from the point of view of mathematical formalization, approach to making the most optimal decision on managing the behavior of a commercial organization based on preliminary monitoring of economic functioning is of interest from the point of view of the following aspects: the possibility of identifying the key elements that determine the system in choosing a format that characterizes the state of the elements of interest; development of a virtual model that reproduces the behavioral features of the modeled system.

The paper presents an analytical review of the application of biometric recognition systems in relation to facial image identification technologies. The classification of biometric systems is presented. The trends of technological progress in the field of biometrics and facial recognition capabilities are considered. It is determined that in 2020 there is a trend of transition from the use of biometric recognition technologies in traditional state security systems to the sphere of commercial and user applications. The process of «linking» encryption keys and passwords with the biometric parameters of the data subject is described. It is proposed that a biometric feature and a biometrics parameter mean a certain value that has a physical meaning that characterizes the subject itself. The possibility of using circular neighborhood and bilinear interpolation of pixel intensity values in biometrics is also presented. This will make it possible to build a local binary template. In order to solve the problem of identification of persons, it is advisable to investigate the essence of biometric systems in the technologies of identification of persons, their types, identifying the shortcomings of each of them, on the basis of which to present the directions of elimination and search for the most reliable technologies. The essence of the use of biometric systems in the technologies of identification of persons is, for example, that the user can provide the bank or other counterparty with evidence that it is he who wants to use the services on his accounts. At the same time, the demand has increased for contactless biometric solutions. These technologies are implemented in order to conduct additional biometric verification of users. This allows to minimize possible fraud or violation of the internal rules of the service, for example, the transfer of accounts of some registered users to others.

Testing of electronic devices is an integral part of the technological process of any manufacturer of such equipment. In this case, an electronic device is understood as an energy-intensive unit such as a mobile phone, data center or spacecraft. One of the key stages of testing is to identify the effect of electric fields on various electronic components of the device. This stage often requires making a mock-up of some part of an unfinished device in order to fix interference with special equipment. This requires time, financial and human resource costs. In order to reduce these costs in the modern world, the use of mathematical modeling tools for testing noise immunity and electromagnetic compatibility is becoming popular. In this paper, it is proposed to use an algorithm for visualizing electric fields in three-dimensional space and time. The algorithm is easily embedded into applications as a component of a mathematical modeling system. The work considered three ways of visualizing the electric field strength: starting from a simple setting of points in space, on the basis of which the electric field will be built, around the source of electric field radiation, to the use of algorithms that make it possible to arrange points equidistantly based on a given number of points in space for the formation of an electric field. The performance and visual implications of these methods were analyzed. The proposed methodology will be useful to the developer community as an embedded solution for point visualization of the electric field in any project in any algorithmic language with the ability to animate in time.