This PDF file contains the front matter associated with SPIE Proceedings Volume 12251 including the Title Page, Copyright information, Table of Contents, and Conference Committee listing.

The purpose of the study is to develop an algorithm for choosing the optimal combinations "consumer-manufacturercarrier" for use in the information-control system for the distribution of fuel pellets. To achieve this goal, a mathematical formulation of the problem of managing the process of biofuel distribution over a set of functioning states was formulated. The restrictions of the task are described, the fulfillment of which is mandatory for the system to be in a state of normal functioning. Criteria for synthesizing optimal and quasi-optimal control solutions are given. A system of production rules has been developed that ensures the formation of a variety of manufacturers and carriers capable of providing the consumer with biofuels with specified quantitative and qualitative characteristics. The scientific novelty lies in the developed algorithm for the synthesis of control solutions as applied to the distribution system of fuel pellets from producer to consumer.

This work presents the modeling of the functioning of the water-conducting belt of the "Cascade" family of sprinklers with standard values of pipe diameters and variable length of the machine. The flow rate values and pressure on the length of the water-conducting belt are calculated for two design options: with a sector end sprinkler and an end long-range sprinkler powered by a booster pump. By eliminating the length of the water-conducting belt for the considered two design options, the flow-pressure characteristic of the sprinkler was built. An example of the selection of a machine according to the flowpressure characteristic is given.

The paper deals with the problem of evacuation of people in case of emergencies. An experimental model was developed using the AnyLogic simulation tool. As the object of research, an office space was selected, where the evacuation mode was simulated and an experiment was conducted. The average evacuation time for each person and the total time out of the building are calculated. A hypothesis about the influence of time of day on the duration of evacuation was put forward and proved.

It’s hard to see the modern authentication systems without biometrics technologies. Biometrics systems can be used to access the school and university, for payment confirmation, for access to internet banking. Biometric authentication systems can be based on the face, fingerprint, iris, voice, and other modalities. And all of them have security vulnerabilities. This article is about the attacks on facial biometric systems. It presents the classification of the attacks on facial biometric systems and countermeasures for different types of attacks.

The description of an experimental automated system of semantic design of (machine-building) products is given. In general, the proposed process of product design is considered stepwise: 1) technical creativity, 2) compilation of expert descriptions of professional product subject areas, 3) automatic synthesis of structural and parametric product properties and, finally, 4) synthesis of product form. The article focuses on the implementation of the second and third stages. Screen forms with explanations of data entry are given. The second stage is performed by professional subject matter experts: designers, technologists, material scientists, strength and design specialists, etc. The corresponding ontological descriptions of the subject areas are compiled. It is assumed that this knowledge will be taken into account when synthesizing the structural and parametric properties of the designed products. The third stage of the technology is carried out by the engineer. His main task is to come up with a name for the product and match it with the main design concept. Additionally, he can adjust the data ranges entered in the ontologies. Such actions also increase the efficiency of the automated system, reducing the search space for permissible parametric properties of the product.

Today, the question of information security at industrial enterprises that are objects of critical information infrastructure (hereinafter - OCII) is especially actual because of attacks by hackers that have become more frequent during the COVID-19 pandemic, the most known was the attack on the American company Colonial Pipeline. The main goals of ensuring the information security of industrial networks are the ensuring data and tags integrity that transmitted over industrial communication channels, preventing the interruption or complete stop of automated technological processes. To do this, it is necessary to use an effective technical device that ensures the security of information transmitted via a communication channels in industrial automated control systems operating at industrial enterprises in the Russian Federation using the concept of import substitution. In the article, we make the compare of technical devices ensure information security by means of calculation the evaluation of information security. This research aims at identifying the most effective technical device that increases the level of information security protection of the OCII and reduces the costs of information security systems creation and / or modernization.

The time of widespread digitalization in Russia could not but affect small businesses, many developing companies use local networks for their work, but despite their active use, issues related to information security are often ignored. It is worth considering that the exchange of data in local networks often does not provide the basic principles of information security: confidentiality, integrity and availability of information. With this approach to information protection, leaks and data corruption can occur, which can seriously affect the development, status and reputation of the organization. Within the framework of this article, a cryptographic information security system will be developed for a local network, for a company that is engaged in the wholesale of medicines. This company has access to confidential data of customers and partners, information on supplies and purchases, as well as its own trade secrets - these are exactly the data that must be reliably protected so that the company can confidently stand on its feet and withstand competition in the market.

Currently, computer technologies are actively used in the field of management and organizational decisions. In particular, automated computer systems based on statistical processing of information are used to monitor the time management of employees. The purpose of this study is to develop methods for monitoring the time management of employees of the organization using data mining technologies. The paper examines the capabilities of WorkForce Management (WFM) systems. Within the framework of modern information technologies, methods of planning the need for labor resources are considered. The design of a computer application for forecasting orders, including a module containing neural networks, is described. The analysis and selection of machine learning methods (polynomial regression and multilayer perceptron) are carried out. The structure of two training data sets is developed and examples of their filling are given. The advantages and disadvantages of using the selected machine learning methods to predict the number of tasks and employees required to perform the work are analyzed.

In the world, scientific research is being conducted to improve the quality level of digital television images, methods for modeling filtration processes and highly efficient control systems in a number of priority areas, including: on the formation of mathematical models of filtration processes, improving the methods of wavelet, Fourier, Haar, Walsh -Hadamard, Karhunen -Loev in increasing the clarity and brightness of images based on linear and nonlinear differential equations; creation of methods for eliminating additive, pulsed and adaptive-Gaussian types of noise in images using additive and adaptive filtering; methods of algorithms and software for introducing intra-frame and inter-frame image transformations; methods of adaptive brightness system control using the Chebyshev matrix series; methods of gradient, static and Laplace methods for image segmentation and dividing it into contours; formation of criteria and conditions for evaluating image quality. Conducting scientific research in the above research areas confirms the relevance of the topic of this article.

The article addresses some practical issues of image processing and pattern recognition in relation to medical and clinical trials. Medical and clinical diagnosis acts as an applied task. It is associated with the recognition on photographs and radiographs of sick people of pathologies of various types. Discretization of objects is carried out using specially designed rules that have different views for tone, color and multi-color images. Also, its algorithm has discretization of continuous curves and lines, points and polyhedra. Various image transformations are described, allowing the doctor to obtain several different projections of any internal organ of the patient. These are axial transverse tomography, image filtering, change of coordinate system, decomposition of images into rows, interpolation and approximation of images.

In the article, the object of research is the development of theoretical (software) tools and experimental methods for analyzing vibroacoustic signals emitted by the analyzed objects, based on the theory of regularization of incorrect singular models, the theory of analysis of Fourier spectra and the theory of pattern recognition. A method is proposed for separating the information signal from the field of external noise interference by measuring two-stage noise in the modes of clean air and dusty air. The technique was tested on a specially designed closed circulation stand for studying diagnostic signals of vibroacoustic emission. The received acoustic signal from the piezoceramic sensor, undergoing digital processing, is realized in the form of an integral Fourier transform in the frequency domain with obtaining spectrograms. Carrying out training experiments with clean air and various concentrations of dust monofractions will create a data bank and provide a partition of the feature space into classes using the methods of pattern recognition theory with the definition of dividing boundaries between classes. The proposed technique is aimed at isolating the information diagnostic signal against the background of non-stationary noise interference with an intensity of up to 50 dB. This should be done in two stages. In the first current operational stage, preliminary express diagnostics are performed using a sound level meter. In cases of a justified forecast about the deterioration of the state of the analyzed objects, i.e. increase in dust content, differential diagnostics is performed using spectrum-analyzing equipment according to the methods of the theory of pattern recognition on a computer. It is possible to recognize and diagnose the dustiness of the flow after a series of identifying experiments and their processing according to the algorithm. Therefore, the task of research is to prepare a theoretical base (software) and an experimental base for the second stage of diagnostics.

The paper is devoted to the investigation of the characteristics of the Internet of Things system, which is used in various organizations. It is proposed to apply leading indicators to form predictive models in the internet of things. The block diagram of the formation of a predictive model is considered. In the Internet of Things system, it is required to form an integral indicator. In the course of its calculation, it is proposed to use an expert approach. An assessment of the significance of individual indicators in the Internet of Things system has been carried out.

A large number of information systems are currently in use inside the operating systems. Various reforms are being implemented within organizations. This requires new approaches to the organization of management. The activities of organizations are based on a multichannel resource support system. The paper gives suggestions for building a structural model of a multichannel resource support system. It is shown how resources can be optimized within information systems. Results are presented that demonstrate the use of regression models. They allow you to describe the relationship of indicators that characterize the state of information systems in relation to the performance of the organization.

Due to the active development of our country, the agricultural industry needs an effective mathematical model of the dependence of the costs of repairing the machine and tractor fleet on various factors with the possibility of analysis and forecasting. The model proposed by the authors of the article with statistically significant coefficients has high accuracy, which means that it allows you to make reliable forecasts of the indicator under consideration. Purpose of the wo rk is to construct a multifactorial model of the influence of the average labor intensity and the average monthly number of repaired machines and mechanisms during maintenance 1 and 2 on the cost of repair of MTP farms in the Volga Federal District; to establish an analytical dependence of the response on factors by introducing quadratic terms into the model; to analyze the resulting model. Method and methodology of work: general scientific methods of theoretical research: analysis and synthesis, systematization, generalization, multiple regression analysis. Results: a multifactorial model of the influence of the average labor intensity and the average monthly number of repaired machines and mechanisms during maintenance 1 and 2 on the cost of repair of the MTP of the Volga Federal District was obtained. The actual cost of repair is compared with the cost of repair obtained by the model. The results obtained allow us to accurately predict the cost of MTP repair. Scope of results: the results of the study can be used to analyze and predict the cost of MTP repair.

Antennas with actively tunable radiation patterns are advanced devices for providing distant communication, but the disadvantage of such antennas is the mechanical control of the position and reflectors characteristics. Sometimes, when it would be necessary to provide directional communication, it is necessary to install additional antennas, although the reflector feed would have the required characteristics. The simulation results show that the proposed antenna design allows controlling the characteristics of radiation patterns in a wide frequency range. Thus, in the mode of a transparent reflector, the radiation pattern of the irradiator is provided; in the presence of switching in the layers of the metamaterial, the formation of a narrowly directed beam of the radiation pattern of the mirror antenna is ensured. This design providing broadband communication with various characteristics of radiation patterns.

A two-fluid model of turbulence is verified in this article by the example of an axisymmetric incompressible jet. The study of an axisymmetric jet is conducted on the basis of a complete system of equations for the two-fluid model of turbulence, and a simplified system of equations according to the Prandtl boundary layer theory. To obtain a stationary solution of the complete system of equations for the two-fluid turbulence model, the relaxation method was used, i.e. a non-stationary system of equations was solved, the solution of which asymptotically approaches the stationary solution. In the numerical implementation in convective terms, the control volume approach was used, and the correction of velocity was performed according to the SIMPLEC methods. A simplified system of equations was reduced to a parabolic type by eliminating the longitudinal components in the viscous terms, and ignoring the effect of pressure. Therefore, for the numerical implementation of the simplified system of equations, an absolute stable implicit marching method was used. The obtained numerical results were compared with experimental data from the NASA database.

Recently, the management of municipal solid waste in developed countries is based on the principle of recycling and reuse of secondary resources Information technology is widely used in modern waste management technologies. The problem is the issue of recognition of the sorting object on the conveyor with waste. There are various robotic systems for the automated separation of sorting objects. The article describes the information system in the process of "recognition - capture - movement" of a sorting object on a common conveyor. A group of sensors is used to identify objects on the conveyor, while simultaneously fixing the coordinates of each identified object on the surface of the conveyor belt. Information about the coordinates and properties of each identified object is transmitted via a communication line to the control panel with manipulators, which capture individual identified objects and move their special containers.

The article shows a general view of a slip-type ship-lifting complex; the principle of operation is described. The article presents the modeling of a slip-type ship-lifting complex with possible correction of static and dynamic errors arising during the operation of the complex in real operating conditions. Also included graphs of transient processes with enabled and disabled correction circuits.

An urgent task today is to study the fundamentals of the movement of robotic systems, in particular, the manipulators of movement. To study the movement of robotic manipulators, it is necessary to compose and solve a kinematic problem, which is a description of the position of specific points of the manipulator (as a rule, the end point - the gripper or the robot's tool) in space. It is also important to study the kinematics in motion, to determine the speeds and accelerations necessary for the optimal operation of the entire robotic complex. This article describes a similar task for the KUKA KR AGILUS robotic arm. For this, the working conditions of the robot were set. As a result, the coordinates of the position of the gripper of the robot and the equations of motion describing the rate of change in the positions of the links of the manipulator were obtained.

The article formulates approaches to the formation of a digital educational environment in order to train personnel for production in industry, including new monitoring, analytical and cognitive-operational services of educational engineering, implemented as an information mechanism for the organizational interaction of people who are digitally identified, agent-described for embedding into the structure of the emerging a qualitatively new educational supersystem. The proposed technology is of particular importance in training complex multi-agent-group actions, for example, in the development and production of technological products that include a large number of high-tech components produced at geographically distributed enterprises. The article is aimed at heads and specialists of government bodies, industrial enterprises and educational organizations; it can be useful to scientists specializing in the study of problems in the field of education and informatics, as well as graduate students and students.

Suggestions on the application of an ontological approach to personnel management are provided. Notably, two criteria are used as an assessment of workforce capacity: on the one hand, it is a possibility of successful life cycle maintainability of products and services due to the skills of personnel performing all necessary labor actions, and on the other hand, personnel meeting qualifying requirements of the occupational standards.If the first is mainly aimed at performing the technological operations currently existing at the enterprise, then the second, based on the knowledge and skills of the staff, intended for the development of technology, improving the reliability and efficiency of products and services.Using the example of personnel providing the life processes of automation systems for technological processes of the main industrial pumping, the structure of the ontology is proposed, where besides activities of doing some or other of life-cycle phases, the occupational standard requirementsof personnel are included.Based on expert assessments regarding each of therequirements for either life cycling, or providing knowledge and skills, the solution of certain personnel management tasks is secured.On the basis of cluster evaluations, a career development system and a career broadening program are built, while on the basis of individual assessments, candidates pool for promotion and transfer to senior position is determined.

The article discusses the advantages of creating digital clothing, as well as the main aspects of the introduction of digital technologies in the process of training designers of light industry products for clothing manufacturing enterprises. The technology of step-by-step formation of digital competencies of specialists in the fashion industry, as well as software products for the implementation of training tasks at the appropriate stage, is proposed. The results of the development of "digital doubles" of clothing models taking into account the properties of materials in various color solutions in a threedimensional modeling program are presented.

This work is dedicated to Industry 4.0. of the engineering industry. Development of automation of design documentation allows to reduce personnel workload. The result of this work is a software product created by combining built-in EXCEL functions that allows for quick and easy calculation of time required for creating a particular document.

The article describes the results of creating a computer model to support managerial and organizational decisions in the use of a forest harvester. The main method for the implementation of simulation modeling was the method of agentbased simulation of processes in the Anylogic simulation modeling system. The created simulation model will allow forest users to carry out: comparison of the options of technological schemes for the movement of the forest harvester in the felling area with the choice of the best organizational and management solutions; creation of standards for labor input and productivity standard for the development of cutting areas in any natural production conditions for any model of the forest harvester used, depending on the type of felling and the species and quality characteristics of the trees being cut down, and also to carry out material-monetary assessment of the development of cutting areas.

The current system of technical operation of electrical equipment is based on a system of scheduled preventive maintenance (SPM). This system ensures the prevention of electrical equipment failures in all possible ways. This entails high operating costs, in some cases lack of resources to carry out such a large amount of preventive measures, forced downtime of equipment. The proposed methodology for constructing schedules of maintenance will allow to some extent reduce some operating costs and streamline the organization of technical operation at facilities. The article discusses the issues of planning maintenance and repair of electrical equipment in an EAM class information system based on a riskbased strategy. A planning program is presented, which includes an algorithm for forming a schedule for maintenance and repair work, which allows us to implement a risk-based strategy at any agricultural enterprise.

The article proposes an approach to assessing the quality of test bases used for testing students, based on dimensionless criteria. These criteria reflect the time spent by the student on the answer and are presented in dimensionless form, allow to ensure the comparability of the test base scores under different testing conditions. As a result of the end-to-end assessment of dimensionless response times, a frequency diagram is constructed, according to which sets of responses with low, medium and high times are formed. A multitude of answers with a low time and the correct result determines the number and nomenclature of insufficiently complex questions in the test base. A lot of answers with a long time and an erroneous result determines the number and nomenclature of unnecessarily complex questions in the test base. The use of the proposed assessments makes it possible to purposefully update the test base with the indication of the numbers of the questions to be changed, the direction of the changes and the priority.

Nowadays it is quite a common practice for modern enterprises to adopt data mining in human resource management. HR management can make use of data mining technologies to efficiently monitor the employees performing specific functions. However, today there are no approaches to integrating big data analysis methods into HR management processes. We have identified the most vulnerable HR management process: the stable staff allocation by scope of the tasks depending on their professional preferences and professional skills parameters. We suggest a solution for this problem which involves applying data mining methods to build a stable human resource management model. The model is based on employees' competence characteristics needed for performing professional tasks, as well as on assessment of staff engagement and productivity level. The model features a system of work activities which is provided with a set of conditions required for their execution and the employees' competences. Testing of the model's operability and stability engages the algorithm for staff allocation to professional tasks. The algorithm is based on cluster analysis which is used to identify clusters with dominant indexes and free elements with implicit characteristics. The linear regression method is applied to measure the degree of interconnectedness between the staff engagement and competence indexes for modelling the prospective dependence of these parameters. This became the defining factor for assessing the stability of the model in conditions of external destabilizing impact. An experiment was conducted to prove that the model is able to redistribute the free elements in order to maintain the system stability even in case of the initial data sample change.

The materials of this article consider the issue of using the telemetry system for determining and monitoring the optimal operational mode of MTA in simulator complexes for training and advanced t raining of machine operators. The use of this system will improve the quality of training of machine operators and thereby increase the efficiency of the operation of the MTA.

Due to the complexity of arranging logistic chains for long distances taking into account a large number of variables, it is necessary to apply methods for optimizing such processes. One of the solutions can be the formalization of such task in the form of a linear programming problem, for solving which a simplex method can be used. On the example of X5 group, the critical task of optimizing logistic supplies for chain stores for long distances is completed in this work as the linear programming problem with the help of MS EXCEL.

The article presents the results of a study of consumer behavior and customer value in the fresh flower retail market of the Kaliningrad region as the basis of a management decision support system based on the concept of customer-oriented management. A methodology for modeling customer value as a complex management object has been developed and presented, including: highlighting the main criteria for the consumer to choose a place to make a purchase, analyzing the interdependence of the purchase criteria and combining them based on the principal component method into independent factors reflecting the values of the consumer, building a segmentation algorithm market based on customer value using cluster analysis methods, assessing the significance of factors for individual market segments and combining them into a single customer value function. The results of the study can become the basis for the development of management decisions in the field of marketing.

The article presents theoretical and mathematical models of life cycle management systems for products of the aviation industry using the theory of potentials. An aircraft engine was selected as the object.

The purpose of the study is to critically assess existing practices and develop recommendations for improving decisionmaking in the field of public procurement using professional software. The work used two Russian computer programs for market analysis and statistical methods (descriptive statistics, regression analysis, construction of trend equations) to process the information obtained in an automatic mode. As a result, it was found that using the software, it is possible to quickly assess the situation in a certain market segment by uploading information about the number of bidders, procurement dynamics, indicators of reducing the initial maximum contract price. In particular, it was found that the government procurement market for computer equipment is growing rapidly (as seen from the trend equation), but it is advisable for companies with a cost leadership strategy to participate. An analysis of the purchases of a particular organization was also carried out, it was shown that a large volume of purchases and an average level of competition, normal values of rejected and conflicting bids make it possible to make a decision on the expediency of participation. The paper demonstrates a positive economic effect associated with significant time savings for procurement specialists. At the same time, the existing software products still do not allow online receiving information about prospective purchases. In the future, it is advisable to introduce big data and predictive analytics into government procurement analysis in order to plan production and sales taking into account the needs of future customers.

This article discusses the possibilities of virtual and augmented reality technologies in the training process. The meaning of the definitions «virtual reality» and «augmented reality» is revealed. The principle of VR and AR technologies were described. The experience of introducing these technologies in higher educational institutions in the Russian Federation is analyzed. The possibilities of using virtual simulators and virtual laboratories in training future specialists were considered. The main advantages and disadvantages of using virtual and augmented reality technologies in the training process were identified. Examples of VR and AR-technologies usage at the industrial enterprises for personnel training and skills upgrading are given.

The purpose of the study is the development of the GIS “Kuzbass” and its approbation for decision-making by public authorities. In the course of the study, a GIS was developed with a traditional architecture, but differing in taking into account a wide range of spatial objects, the use of neural network technologies and big data. Before approbation, the neural network was trained to recognize objects and situations requiring decision-making. As a result of the study, it was revealed that the use of the Kuzbass GIS made it possible to automatically identify 319 land plots that are intended for agriculture, but are illegally used for mining (about 0.6% of all areas included in the GIS). Management decisions were made on the imposition of sanctions and requirements to eliminate violations. Monitoring of forest areas revealed 4 cases of large logging without a permit, the damage to forest resources amounted to 150 million rubles (about 2 million US dollars). Also in the study, using GIS, an analysis of the legality of the construction of capital construction projects was carried out. 12,370 capital construction projects were identified that were built illegally and without paying taxes. Consequently, the use of GIS “Kuzbass” will help improve support for making management decisions at the level of the region and municipalities.

Virtual and augmented reality technologies are widely used in various fields of human activity. One of the most actively developing clusters is education. The article provides an example of solving a methodological problem in the context of teaching the discipline "Engineering Graphics" using augmented reality technology.