The purpose of research is to develop a project of a web-based information and reference system for design production, which allows to eliminate the contradiction between the requirement to increase output using new components and materials based on import substitution and increase the efficiency of design production based on reducing the time spent searching for reference information, as well as to organize the work of the company's developers in the form of a "virtual department".

Methods. When creating a project development and software implementation of a web-oriented information and reference service of design production, methods of system analysis, methods of designing software for information systems, PHP, HTML, CSS, Lareval 9.2 framework were used; when designing the interface, a library for a slider - SticSlider was used.

Results. During the implementation of the project, the software of the web-oriented information and reference service of the design production was developed and implemented. The project has been implemented, tested and implemented in the activities of the design department of electric machines (COEM), which is one of the leading structural divisions of JSC "Elektroagre-gat". The test results showed that the software system fully meets the functional requirements and is ready for use. The relevance of the research is due to insufficient information support for design work, which is characterized by the use of a large volume of reference and regulatory information, which creates difficulties for developers and requires significant time to search for reference information about the nomenclature, components, characteristics of products and materials, standards and planned activities, development tasks, etc.

Conclusion. The web-oriented information and reference service allows you to aggregate the construction site, reduce the time spent on access to information resources. Provides an opportunity to organize remote work of employees to provide full access to corporate information, to control the design process, the execution of tasks and the management of design and technological work, regardless of the number of performers, to document the work performed. 

The purpose of research is to develop a software and information system for conducting psychological testing of the emotional sphere of a person, with the possibility of determining the diagnosis for subsequent consultation with a psychologist.

Methods. To implement the software system, the C# programming language was used using libraries: Net Framework 4.7.2, ASP.NET Core. To form the tests, the methods of "Determination of emotionality" by V. V. Suvorova, express diagnostics of the tendency to affective behavior by V. V. Boyko, express diagnostics of the tendency to hyperthymia by V. V. Boyko, express diagnostics of the personal tendency to low mood (dysthymia) by V. V. Boyko, "Tendency to euphoria" by V. V. Boyko, "Determination of the state of frustration" V. V. Boyko. The input data of the program are the user's responses, and the diagnosis calculated based on the test results obtained. The MSSQL Server 2014 DBMS was used for data storage.

Results. As a result of the development of the software product, the interface and architecture of the program were developed. Implemented functionality for testing according to the above methods. An algorithm has been developed designed to diagnose the psychoemotional state of the individual, in accordance with the test results obtained. In the course of the conducted studies, it was shown that the accuracy of the methods is 95%. A database has been developed to store information about users, their roles, as well as information about questions included in tests for their interaction. The test results showed that the software system fully meets the functional requirements and is ready for use.

Conclusion. The developed web-service allows psychological testing of the emotional sphere of a person according to certain methods, with the possibility of determining the diagnosis for further interaction with a psychologist. The prospect of further development is to expand the functionality of the created software and information system by adding new methods of express diagnostics of psychological or emotional states of a person. 

The purpose of research is to determine the list of necessary controlled parameters of promising aviation systems, which represent a complex system of interaction "pilot - aircraft - environment", as well as to assess the ranges of their change.

Methods. Research methods are based on the concepts of the theory of diagnostics and prognosis of the technical condition of aircraft, ergonomic systems. Methods of multi-criteria analysis, parametric and structural synthesis are used.

Results. It is shown that the choice of the range of controlled helicopter units is determined by their purpose, the severity of consequences in case of failure, testability, operating conditions and modes, the predicted level of reliability, as well as the experience of operating prototypes and analogues. A variant of organizing a parallel system for diagnosing and predicting the technical condition of advanced aviation systems has been developed. This article presents a stochastic (probabilistic) diagnostic model of damage to the inter-rotor bearing of an aircraft engine, designed to study the correlation dimension of a vibration signal, which imitates the spectral composition of a real vibration signal, with a different form of amplitude distribution density. A decisive rule for predicting engine failure 8-9 flights before the destruction of the inter-rotor bearing is presented.

Conclusion. For objective control of the parameters of units of heavy and light helicopters, they are divided into 10 groups, for each of which the composition of diagnostic control sensors is determined based on an analysis of the necessary and sufficient values of the parameters in real time. The range of measurements of specific physical quantities is assigned at the stage of designing one or another vital system of the aircraft. Limits of measurement of parameters are set during regular measurements, as well as at the stages of verification and testing of state control. A variant of the formation of a boundary separating a good and a faulty state, described by a hypersurface, is presented.

The purpose of research is development of an alternative approach to determining the residual life of the product, based on the conversion of the energy of deformed power elements of the airframe structure into the consumption of an equivalent product resource through a monitoring system based on fiber-optic strain sensors.

Methods. The analysis of existing methods for assessing the technical condition of the main components of aircraft products and determining their residual life based on information about the technical condition, on the basis of which the synthesis of the algorithm for determining the residual life of the main components of the helicopter, taking into account the technical condition, was carried out.

Results. In the course of the study, the existing methods of assessing the technical condition of the product were classified. The shortcomings in the existing concept of determining the residual resource are indicated, the main of which is the lack of the possibility of predicting the residual resource based on the technical condition of the object (operational history). An alternative approach to determining the residual life of the main components of the helicopter is proposed, with an explanation of the approximate methodology for assessing the technical condition of the main components and the product as a whole, the composition and description of the main stages of the implementation of this approach. The composition and the sensitive element in the control system of the current technical condition of the main components of the product are determined. A fiber-optic sensor with a Bragg grid (fiber-optic pressure sensor ВОДД-1.XXX ПИКВ.401143.003 ТУ) was selected as a sensitive element for the implementation of the monitoring system.

Conclusion. The proposed approach to determining the residual life of the main components of the helicopter combines high reliability indicators, which is due to the fixation of the operation history of a particular helicopter, the simplicity of determining the residual life of the product and the absence of the need for special measuring instruments in operating companies.

The purpose of research is to analyze the functionality of classical and advanced sensors for controlling the mechanical parameters of aircraft using the example of strain and vibration sensors to identify their current areas of development.

Methods. Research methods are based on the concepts of the theory of sensory systems, the theory of diagnostics and forecasting of the technical condition of aircraft. Methods of multi-criteria analysis, parametric and structural synthesis are used. The principles of operation, as well as the functionality of the main classical sensors used in aircraft to control the parameters of deformation and vibration, are analyzed. A critical assessment of the possibilities of using the analyzed sensors for implementation in various tasks of aviation diagnostics of mechanical parameters has been made.

Results. It has been established that the impact of flight loads on the airframe and critical components of aircraft is accompanied by the appearance of hidden deformations in the form of mechanical stresses, which are divided into two components: normal and tangential. Analytical dependencies are obtained for calculating the above quantities using fiber-optic sensors with distributed Bragg cells that convert the change in their own linear dimensions into a change in the reflected wavelength. A necessary condition for obtaining correct measurement results is the temperature compensation of the cells, which makes it possible to localize the places of deformations with an accuracy up to the location of a particular cell. The practical results of using alternative sensors for detecting hidden deformations (cracks) based on radio frequency identification methods in various frequency ranges are presented.

Conclusion. The development of the method for diagnosing stress-strain states of aircraft complex units is the use of frequency-Doppler fiber-optic sensors with a high signal-to-noise ratio and a spherical radiation pattern, which will allow developing technical means for monitoring the dynamics of internal deformations of controlled units in real time. As promising areas of research in the field of creating new sensors with new physical properties, fiber-optic Bragg sensors with an inclined grating should be considered. 

The purpose of the research is to develop a method and algorithm for autonomous planning of the flight path of an unmanned aerial vehicle when monitoring the fire situation, which are designed for early detection of the source of ignition. Since timely detection of a fire source at the stage of its development allows to reduce both material and human losses, the development of a method and algorithm for autonomous flight trajectory planning of an unmanned aerial vehicle when monitoring the fire situation in order to detect the source of ignition early is an urgent, important task.

Methods. A method for detecting the source of ignition is proposed. The method is based on three flight plans. Plan A provides for a flyby of the monitored area by gas with determination of the concentration of a harmful substance in each pixel of the monitoring area. When a pixel is detected in which the concentration of a harmful substance exceeds the threshold level, the flight control of the UAV is carried out through plan B, which provides for local planning to achieve the pixel target, which is determined by calculating local differential operators in a nine–element mask. Plan B allows the UAV to fly directly to the source of the fire and determine its coordinates. Flight plan C provides for the return of the UAV to the point of departure from any pixel of the monitoring zone.

Results. An algorithm for controlling the UAV flight path has been developed, which allows determining local target pixels and building a local flight plan on this basis. The basis for constructing a local flight plan is the rule "at least three pixels on the tack", which allows you to obtain a nine-element matrix with known concentrations of harmful substances in the target pixel and determine those pixels of the local flight plan in which it is not possible to obtain this matrix.

Conclusion. Mathematical modeling of the UAV flight control algorithm according to the proposed test method was implemented in the Matlab 8.0 package and showed control stability and high speed of reaching the coordinates of the pixel of the ignition source, exceeding the speed of achieving the set goal by 1.5...2 times, depending on the location of the ignition source relative to the direction of the flyby of the monitored territory. 

The purpose of research is to examine the hypothesis that the area ratio method can be used to compensate for the defuzzification interval narrowing error inherent in traditional models, such as center of gravity sums, height models, first maxima, mean maxima, and last maxima.

Methods. A fuzzy model consisting of two input variables and one output variable was used to analyze the properties of the area ratio method. The input variables had two triangular membership functions each, and the output variable had three triangular membership functions. The knowledge base consisted of four fuzzy rules. Zadeh's compositional rule was used as an implication model. Two models of classical center of gravity and a model based on the area ratio method were used in the defuzzification process.

Results. In the course of experimental studies, it was found that the proposed defuzzifier based on the area ratio method compensates the error of narrowing the defuzzification interval. It was also found during the experimental studies that when using the center-of-gravity model, a resultant surface that only 50% overlaps with the caliper of the output variable is formed at the output, which forms the error of defuzzification interval narrowing. When the area ratio method is used, the resulting surface overlaps 100% with the output variable caliper, suggesting that the area ratio method eliminates the error associated with defuzzification interval narrowing.

Conclusion. This article presents a fuzzy MISO model that is used to analyze the properties of the area ratio method. A distinctive feature of the proposed model is the use of the area ratio method in defuzzification. Analysis of its simulation process has shown that this method allows to compensate the error of defuzzification interval narrowing. 

The purpose of research. The purpose of this work is to study graph models of databases and develop a methodology for comparative analysis of database models. The theoretical and methodological basis of the study was the fundamental scientific works of domestic and foreign authors in the field of basic problems of database theory, algorithm theory, graph theory, data processing structures and methods.

Methods. The paper uses methods of structural, comparative and content analysis, as well as statistical methods of information processing and methods of graph theory. As a result of the conducted research, the authors justified the features, advantages and disadvantages of using a graph data model.

Results. The relevance of this study is due to the intensive development of information technologies intended for the economic development of the country, the pandemic and the geopolitical situation in the world. These prerequisites orient researchers to use new methods of data processing and analysis. However, it is possible to optimize big data processing processes not only with the help of powerful new algorithms, but also with the use of fundamentally different data structures and models other than relational.

The paper presents applied examples of using the graph model of databases in various subject areas. A method of comparative analysis of data models in relation to big data analysis has been developed. The main points of data model design are highlighted: system scaling, compliance with requirements and standards, the ability to change data model structures, language complexity, performance and data processing speed. The proposed technique made it possible to numerically evaluate the effectiveness of graph models.
Conclusion. The theoretical significance of the research consists in the development of methodological and technological approaches to the analysis of big data and the formation of structures and databases. The practical results of the study can be useful to large IT companies, as well as to the financial, logistics and commercial sectors, where the problem of big data analysis and research is most acute. 

The purpose of research – development of bioimpedance spectroscopy methods to develop on their basis objective and realistically accessible criteria for assessing the severity and prognosis of diseases, as well as evaluating the effectiveness of treatment methods, developing criteria for the use of conservative therapy options and surgical interventions in severe patients.

Methods. The proposed method involves the use of a recurrent modified Voigt model as a biomaterial segment impedance model. For each model of a biomaterial segment, a Cole plot is plotted in a given frequency range. At the stage of determining the parameters of each of the models, a recurrent procedure is performed, which is the solution of systems of nonlinear equations, starting from one link of the Voight model with a subsequent increase in their number at each iteration step, until the value of the approximation error by the Voight model of the Cole experimental plot reaches allowed value.

Results. As a result of the study, fundamentally new results have been obtained that allow creating intelligent decision support systems for diagnosing socially significant diseases. A bioimpedance analysis model based on multifrequency bioimpedance measurement has been created, which makes it possible to decompose the biomaterial impedance into structural elements, on the basis of which to determine descriptors for neural network classifiers of medical risk. In the work, an analysis of classifier errors was carried out in classifying the risk of acute destructive pancreatitis, which showed that the maximum value of the quality indicators of various classifier models was 78%, the minimum was 62%, demonstrating close values to the quality indicators of the ultrasound diagnostic method.

Conclusion. The use of multifrequency sensing and modified Voight models in neural network classifiers of medical risk makes it possible to build clinical decision support systems for diagnosing socially significant diseases, as well as the ability to improve classification quality indicators and expand the functionality of intelligent medical decision-making systems. 

The purpose of research is development of algorithms for a computer system for monitoring the effectiveness of therapeutic procedures in terms of clinical blood analysis.

Methods. A set of algorithms has been developed for a computer system for monitoring the effectiveness of medicinal prescriptions based on the results of a clinical blood test, including an algorithm for analyzing the dynamics of intercellular ratios in a clinical blood test, an algorithm for filling in a database, an algorithm for forming a base of decisive rules, an algorithm for analyzing the sensitivity of a decisive rule.

Results. To determine the effectiveness of the treatment plan, it is proposed to evaluate intercluster distances between clustered pathological conditions using the PNN-FNN-FNN* neural network, built on a hybrid basis using probabilistic neural networks and fuzzy decision-making logic. The proposed structure of the PNN-FNN-FNN* hybrid neural network contains three macrolayers. The number of modules in macrolayers is equal to the number of selected clusters of the monitored disease. The first macrolayer consists of blocks of probabilistic neural networks, the number of which in each module is determined by the number of segments allocated in the space of informative features. The second and third macrolayers consist of two-layer fuzzy neural networks. The fuzzy neural network module with the FNN* structure is a block-type macrolayer, each of the blocks of which consists of two layers.

Conclusion. Approbation of monitoring algorithms was carried out on an experimental group of patients with benign prostatic hyperplasia and patients with prostate cancer. Experimental studies of the classification quality indicators of a hybrid neural network with the PNN-FNN-FNN* structure in monitoring the effectiveness of treatment of urological patients have shown diagnostic indicators that allow us to recommend it for use in medical decision support systems when monitoring the effectiveness of treatment of urological patients. 

The purpose of research was comprehensive research to clarify the feasibility and possibility of using non-traditional raw materials and metal complexes in functional food products.

The realization of the possibilities of using collagen base in food products as a carrier of biologically active substances is of great interest. The joint use of collagen in the design of functional products with components of plant raw materials and biocomplexes seems rational for people suffering from a deficiency of minerals, dietary fiber, vitamins, etc. and contributes to an increase in shelf life.

Methods. The objects of the study were: succinic, ascorbic and nicotinic acids; biologically active medicinal substances; salts of 3D-metals, coordination compounds of metals; extracts of St. John's wort herb (Hyperici herba), inflorescences of marigolds prostrate (Tagets patula L), Calendula officinalis and fruits of common cherry (Prúnus pádus). Compositions of functional soft drinks with collagen.

Results. It has been established that biocomplexes have pronounced antimicrobial and anti-inflammatory activity, exhibit an antihypoxic effect comparable to comparison drugs in collagen-based polymer systems, which opens up broad prospects for their use as biologically active compounds in the food industry. One of the objectives of the study was to develop the composition and technology for producing a functional jelly-like drink using biocomplexes and herbal medicinal raw materials, which made it possible to obtain soft drinks with a high content of biologically active substances: esters, minerals, trace elements, alkaloids, biogenic amines and other biologically active substances.

Conclusion. Drinks with high organoleptic characteristics that persist for a long time, high nutritional and biological value and reduced contamination, contributing to the improvement of metabolic processes, were obtained. The proposed soft drinks can be recommended for dietary and therapeutic and preventive nutrition to various groups of people suffering from a deficiency of minerals, dietary fiber, which manifests itself in diseases of the digestive and musculoskeletal systems, violation of human cardiovascular functions.