This article highlights conceptual models that contribute to assessing the effectiveness of language policy from historical perspective. The use of the comparative historical approach has allowed us to identify the most effective forms of language policy in the modern national situational context. The authors place a special emphasis in the article on the critical analysis of a number of historical models that have long acted as the main tool for assessing the effectiveness of language policy in the West. The novelty of the article lies in the discovery of new modes of measuring the effectiveness of the principles of language policy and planning applied in practice. The article also make sa strong case for understanding language as an active means of social reality in all the diversity of its forms and relationships.

Keywords: language policy, language planning, comparative historical approach, historical narrative, historical consciousness, eurocentric model, cultural center, peripheral regions, deductive methods, inductive methods, modernism, postmodernism

There are methods of modeling hydrogeological systems implemented at various fields. Static and filtration models were used during hydrogeological studies. The choice of the model is determined by the task. A feature of the filtration models is the most accurate description of the geological structure of the deposit. When describing the nature of hydrodynamic processes at producing wells, the main direction of development was obtained by field modeling methods using geofiltration equations. The reliability of the results of using the geofiltration model is described in detail in The geofiltration model is implemented by describing a partial differential equation. The boundary conditions are described, and the initial data are the geometric and physical parameters of aquifers, the characteristics of their mutual influence, etc .. The main difficulty in creating a model is to ensure that the simulation results correspond exactly to the original. If at this stage we do not take into account the essential properties of the distributed object, then in the end it is possible to get a description of a completely different process. Further, the paper describes the method of determining the parameters of the hydraulic equation used in the construction of a mathematical model of the field. An example of a model describing the geofiltration process is given. To solve the geofiltration equation, a discrete model of the object is constructed. The structure of the approximating link for this class of objects is given. The stages of determining the parameters of the approximating link are described. The method is accompanied by an example of calculations for the Berezovsky section of the Kislovodsk field. The graphs of the input impact functions and the output functions necessary for determining the phase shift are implemented using the developed KALIGOR-MISMATCH software module. This technique is an integral part of the frequency method of synthesis of multidimensional systems, when the input effects to a distributed controller are implemented as a discrete function over space. The method of synthesis of regulators can be used to describe the stability of hydrodynamic systems.

Keywords: diversification of management, production diversification, financial and economic purposes of a diversification, technological purposes of ensuring flexibility of production

Nowadays, it is often necessary to create effective tools for collecting, analyzing and processing information related to taking into account the activities of universities. There is also a need to develop information systems that provide automation of educational process management functions, which would reduce the cost of organizing educational process management in an educational institution. One of the primary tasks of the university is the implementation of research work by students, graduate students and research workers on the basis of research organizational structures. In this regard, an additional burden is placed on the employees of a research organization, which implies the performance of routine operations, as a result of which mistakes can be made. You can avoid possible mistakes, as well as increase the efficiency of employees by creating an information system, which is described in this article.

Keywords: information system, science, university, information services

To evaluate the efficiency of the system of forced cooling of disc-pad brake mechanisms, the temperature on the working surfaces of the brake disc is proposed as a criterion. The parameters of influence on the forced cooling system include the pressure at the inlet of the ventilation unit, the angle of attack of the air flow, the number of air supply sources and the geometry of the ventilation unit. As a result of multifactorial experiments, the regression equations of temperature on the working surfaces of the brake disc were obtained from the above-mentioned influence parameters. The obtained data can be used in two directions: designing systems for forced cooling of brake mechanisms and controlling the thermal load of the brake disc.

Keywords: disc-block type brake mechanism, forced cooling system, temperature of working surfaces, pressure at the inlet of the ventilation unit, angle of attack of the air flow, geometry of the ventilation unit, regression equations

The paper presents the results of work on reducing the motion data dimension obtained by motion capture system with inertial microelectromechanical sensors. In the beginning, it is given which movements were chosen and rationale for everyone's. After that, assumption is presented about independence of data flows for different types of sensors is checked. Next, method for sorting the incoming data stream for the wavelet transform is considered and method for redundancy decline through finding strong linear relations between data streams is given and scale of wavelet transform is justified. Then method for compressing motion data using a wavelet transform is proposed. After that, it is shown that after data processing, data power spectrum decreases in the high-frequency region.

Keywords: MEMS, motion capture, spectral analysis, wavelet transform, correlation analysis, accelerometer, gyroscope, inertial sensor, motion control, digital motion reference pattern

The lack of information about the conditions for the implementation of transport processes does not allow building mathematical models that operate with extremely accurate input data. Therefore, methods are being developed that formalize input uncertainties for constructing mathematical models of transport processes. To describe uncertainties, along with static, stochastic and interval approaches, methods based on fuzzy sets are actively used. The generalization of the belonging of the element, presented by Zadeh, allowed blurring the boundaries of the set. The blurring of the boundaries of the sets allows one to formalize insufficiently complete, in an informational sense, judgments and facts for the purpose of the subsequent use of this information in the construction of mathematical models. To identify formal approaches to working with uncertainties, an analysis of foreign periodicals in recent years has been carried out and two well-known approaches have been identified. The first is based on the theory of fuzzy sets - the generalized concept of belonging of an element to a set, leading to blurring of the boundaries of the set. The second approach involves describing fuzziness using a hierarchy - a family of ordered crisp sets [1]. Within the framework of the first approach, the authors have identified five ways of formalization. The first includes fuzzy sets (numbers) with different n-gonal forms of the membership function. The second consists of intuitionistic fuzzy sets (numbers) with n-gonal membership functions. The third contains heterogeneous fuzzy sets of type 2. The fourth represents non-standard fuzzy sets (oscillating, Pythagorean, etc.). The fifth method is a combination of spaced fuzzy numbers, intuitionistic spaced fuzzy numbers, and the like. References are given to sources containing a description of formalization methods and their application in solving some fuzzy transport problems, possible directions of research on the considered topics are formulated.

Keywords: fuzzy transport routing problem, optimization, fuzzy methods, fuzzy numbers, fuzzy sets, heuristic algorithms, hybrid algorithms, transport processes

The possibility of using neural networks to classify the states of complex objects is considered. A software implementation of a neural network classifier is made and the results are compared with a selection algorithm based on K-nearest neighbors.

Keywords: classification, neural networks, decision making, case

The article presents results of processing motion data obtained on a motion capture system using inertial microelectromechanical sensors (MEMS). Hardware and software complex compares reference movements with those that operator is performing. Reducing the feature space in motion model is an important task in the context of using many similar sensors that need to be processed on low-power devices. The main way to obtain the distance between two patterns is algorithm of dynamic time warping which has a computational complexity of O2, which means that it is expedient to select features. Statistics of distinction degree between different types of movements are provided to assess the quality of simplified models. Сomplexity of resulting models was demonstrate on Kohanovsky method.

Keywords: MEMS, motion capture, correlation analysis, wavelet transform, dynamic time-warping algorithm, accelerometer, gyroscope, inertial sensor, motion control, pattern matching

The paper describes the main agents, with their components and process diagrams, of the developed simulation model of the functioning of the distributed information processing system, created in the AnyLogic software environment. A method for constructing models with self-similar traffic is described. The article also presents a method for obtaining real (reference) indicators of the average response time of the system to user requests. The results of numerical experiments on the created models of the functioning of distributed information processing systems with self-similar traffic are presented. The main conclusions about the performed experiments are presented.

Keywords: distributed information processing system, self-similar flow, average system response time, simulation, object-oriented concept, agent-based and discrete-event modeling

The article discusses methods of improving the efficiency of information resources management in the banking environment. The justification to switch to cloud solutions has been carried out. As an example of one of the solutions, a hybrid model of a banking enterprise in a cloud environment is given. The article also describes the scenario of working with the Amazon Web Services cloud service. The conclusion is made about the expediency of banks' transition to a cloud environment. The path of such a transition is outlined.

Keywords: management, cloud technologies, cloud resources, banking sector, financial sector, hybrid clouds

This article provides information that there are different categories of users with different groups of behavioral features. All this data is separated from each other. In the course of this work, it was found that if all data on user models are combined into one method, then the analysis by which information about a virtual person is obtained can lead to improved adaptability of web resources using new technologies.

Keywords: usability, virtual reality, types of virtual personalities, segmentation, socialization, user, Internet

The paper presents a description of the method for parametrization the kernels of the Volterra-Wiener series using the functional derivative. The method is considered in detail using the example of the nonlinear differential Riccati equation and is confirmed by system identification.

Keywords: Volterra-Wiener functional series, parametrization, Riccati equation, system identification

The paper presents a formalized statement of the problem for conducting a comparative analysis of the efficiency of distributed information processing systems. Reliability, technical-operational and technical-economic indicators of the distributed information processing systems functioning were selected as the main efficiency criteria. At the conceptual level, this problem was reduced to the problem of vector optimization, the solution of which is associated with significant difficulties. An alternative approach to solving this problem is proposed.

Keywords: distributed information processing system, vector optimization, availability factor, average system response time, fault tolerance coefficients, total downtime cost

This article briefly discusses recurrent neural networks and bidirectional recurrent neural networks. A conditional random field is also described. In particular, we consider the vector representation in the form of the ELMo model, the bidirectional language model and its fine-tuning. A diagram of the architecture of a bidirectional recurrent neural network with CRF is also given.

Keywords: named entity recognition, neural network, word vector representation, language model, conditional random field, neural network architecture, recurrent neural network, natural language processing, bidirectional recurrent neural network

This article discusses the features of using Euler angles in the process of determining the position of an object in space. The material presented here will help to study in detail the use of Euler angles when working with inertial navigation sensors and facilitate the understanding of the construction of systems using such devices. Today, such embedded automated systems are used in a wide variety of fields: in aircraft modeling, in medicine, military equipment, and agriculture, and the scale of their use is growing every year. Devices that track the position of the body in space are widely used in such systems as drones, mobile robots, remote-controlled manipulators. These devices can significantly reduce the need for human participation in heavy and dangerous work.

Keywords: Euler angles, accelerometer, gyroscope, magnetometer, object orientation, inertial navigation sensors, yaw, pitch, roll

The paper considers the implementation of the Case Base Reasoning method when managing a city infrastructure complex technological object. A method of formalizing the situation at a complex technological object using a matrix of states is presented. A method is proposed for determining the proximity of situations in the state space, taking into account the proximity of the states of each element of a complex technological object. The implementation of the proposed method when selecting a situation from the knowledge base allows avoiding collisions when two critically different situations with different solutions are selected.

Keywords: Case Based Reasoning, CBR, case retrieve, knowledge base, facility management, city infrastructure, Euclidean distance

The possibilities of using digital big data sets in the field of telemedicine are presented. The main characteristics of big data are: large volume, high speed of updates, diversity, reliability, variability, value. The types of analytical tasks that can be solved using advanced methods of "big data" analysis are shown. The application of telemedicine technologies in the prevailing conditions of the epidemiological situation is stated. Description of the essence of digital transformation of the healthcare system. Functionality of electronic medical records of patients. Project of a unified state digital healthcare platform. Processing of personal personal data of patients of medical institutions. Machine learning goal sets in academic research, industry, and competitive data analysis. Promising directions of using artificial intelligence technology in the field of medicine. Using teleophthalmology as an example, the modern directions of the industry development are described. Machine learning for big data processing through the practice of an ophthalmologist. Deep Learning - solutions for the analysis of biomedical images. Deep Learning in Fundus Image Recognition. Convolutional neural networks in the diagnosis of diseases of the organs of vision. Preparing high-quality datasets for training algorithms. Advances in pathology recognition on retinal images. The purpose and place of telehothalmology in the work of an ophthalmologist. Interpretability principles for deep machine learning models. The concept of predictive, preventive, personalized and participatory medicine. Analyze mobile data at the application level. Existing mobile applications in teleophthalmology. Obstacles to the implementation of computer software in the medicine of eye diseases. Promising areas of research in ophthalmology for technicians.

Keywords: big data, teleophthalmology, artificial intelligence, machine learning, deep learning

Intensive use of heavy energy-rich machinery on agricultural land has resulted in a significant overconsolidation of tillable land. It is obvious that overconsolidation of soils is one of the main reasons for reducing crop yields. This is especially evident on slope lands, which are exposed to many additional factors of degradation (deflation, surface washoff, destructuring, sliding of the topsoil to the slope bottom with the formation of swampy areas) resulting in a loss of yield of up to 12-15%. The peculiarities of slope lands place increased demands on the corresponding work technologies. However, existing tillage equipment cannot fully and qualitatively fulfill these demands. In this regard, the search for a rational solution to this problem based on the methodology of conceptual design is an urgent task. The system functioning is influenced by many external factors, such as the forms of organization of economic entities and their respective resource capabilities, the variety of cultivated fields by area, type of soil, crops, profile shape, climatic conditions, ecology, etc. Obviously, under these conditions, the solution to the problem of creating a slope land cultivation system (SLCS) at the modern level lies in the field of new information technologies that implement the idea of the entire life cycle integrity. However, the SLCS system does not exist in isolation. It interacts both with the land user and the cultivated soil. At that, the interaction is limited not only by the soil condition and the slope angle, but also by the profitability level, financial and technological capabilities, as well as environmental safety. In UML, the corresponding semantics are reflected in an additional set of dynamic diagrams. Use options or use case diagrams play a major role in modeling the behavior of a system, a subsystem, or a class. The use case diagram allows not only to formalize the relationship of functional requirements in the form of goals initiated by specific participants in the process of creating a SLCS system by a customer (land user), an ecologist and an economist, but also to develop, on the basis of a compromise and taking into account financial and technological constraints, various use cases that implement the global goal - "Increasing the efficiency of the SLCS functioning".

Keywords: concept design, deep tiller, universal modeling language, use options, use case diagram

The creation of laboratory equipment that provides a clear demonstration of the studied technological processes while ensuring the possibility of its use for research purposes by students is an urgent task. Purpose of the work: development of a stand design for a visual demonstration to students of the process of the impact of the cutting working body on the workpiece while ensuring the possibility of fixing the characteristics of the cutting process. In the course of the work, on the basis of system analysis, the classification of laboratory equipment for studying the cutting process was carried out, its features were studied, highlighting the advantages and disadvantages, and an original design of the stand was proposed. The design of the stand provides an opportunity to study the characteristics of the cutting process with a fixed fixation of the workpiece and the movement of the cutting tool, which clearly simulates the real cutting process and allows you to determine its parameters.

Keywords: cutting, chip formation, student training

The issues of modeling the interaction of humans and robots in a common operating environment are considered in order to select the optimal parameters of such a system. The context of the application of multi-agent robotic systems (MRTS) is the monitoring of a fire hazardous area. The homogeneous MRTS includes unmanned aerial vehicles (UAVs) that cyclically perform operations of flying around their area of ​​the territory (with identification of fires) in an autonomous mode, returning to the charging base, waiting for charging, charging, returning to their area of ​​responsibility, flying around their area, etc. etc. An operator works in the charging area, to which the UAVs should not approach less than a certain distance. The system is presented as a multi-channel queuing system (in the charging area). A simulation model is constructed that allows, according to the data of many runs, to construct polynomial regression dependences of the quality indicators of the MRTS operation on its parameters, by which to solve the multicriteria problem of choosing the optimal parameters of the MRTS charging terminal.

Keywords: cobots, simulation, unmanned aerial vehicles, queuing system, regression equations, optimization

At the moment, in the conditions of an actively developing information society, information is becoming a necessary factor of production, therefore ensuring the safety of data is an important issue. The article is devoted to the topical, today, problems associated with threats in the field of data storage. The definition of the concept of threat in the field of data storage is given; classification by types of threats is proposed; the following classes of threats in the field of data storage are distinguished: spatial, communicative, destructive; the actual components of threats are described. Based on the analysis of threats in the field of data storage, algorithms for ensuring the safety of information will be developed in the future.

Keywords: information, data, data storage, data safety, data integrity, data storage threats, data integrity threats

This article examines the implications of the application of quantum computing in the field of image processing. A basic conversion associated with gray level processing, such as an image negative, is considered. The article shows how this operation can be expressed using quantum formalism. Whether quantum image processing (in some aspects or some specific applications) has an advantage over classical image processing in realistic scenarios remains to be seen. This depends on solving a number of problems, some of which are unique to quantum image processing, such as feature extraction of a quantum image. Some of them are common to quantum algorithms, such as noise processing. Identifying one of them will significantly speed up the study of this field.

Keywords: qubit, quantum circuit, entanglement, quantum circuit, register, quantum recognition, gate, parallelism, interference, quantum computer

This article is devoted to solving the problem of research and development of methods for the functioning of quantum algorithms and models of quantum computing devices. The quantum algorithm, implemented in the work, makes it possible to transform a classical image into a quantum state, isolate boundaries and convert a halftone image to a binary one, shows the possibilities of quantum information theory in the interpretation of classical problems. The aim of the work is computer simulation of a quantum algorithm for solving the problem of transforming a classical image using quantum computing tools and methods, studying existing pattern recognition algorithms and creating an effective recognition model using the properties and methods of quantum computing. The relevance of these studies lies in mathematical and software modeling and implementation of a quantum algorithm for solving classes of problems of a classical nature. The scientific novelty of this area is primarily expressed in the constant updating and supplementation of the field of quantum research in a number of areas, and the computer simulation of quantum physical phenomena and features is poorly covered in the world.

Keywords: quantum algorithm, quantum bit, quantum computing model, quantum circuit, entanglement, quantum circuit, register, quantum recognition, gate, parallelism, interference, quantum computer

As technology advances, supply chains have become complex and dynamic, and it has never been more important to adopt flexible and innovative approaches to managing them as in the heightened risk of the COVID-19 pandemic. The availability of data in real time, competent and timely planning, the ability to adapt to constantly changing market conditions have become more important competitive advantages than ever. Digital twins are a technological framework that focuses on digitalizing supply chains and presenting analytical capabilities to identify risks, predict them in a digital model for rapid response in the real world.

Keywords: supply chains, risk management, digital twins, logistics, trucking, modeling

This article proposes the development of a method for fixing changes in the galvanic skin response and human pulse, depending on the viewing of a video fragment, which presumably causes a certain emotional reaction of a person. The creation of a prototype device on the Arduino Leonardo platform and compatible with this platform sensors for fixing galvanic skin response and a human pulse sensor is described, with the help of which data is collected for further use in determining the emotional state of a person.

Keywords: galvanic skin reaction, pulse, emotional state, arduino, emotion