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The article is devoted to the consideration of blockchain technology as a means of automating inter-organizational business processes. It is noted that the digitalization and automation of internal business processes bring significant benefits in terms of increasing productivity and reducing costs. However, organizations face difficulties when trying to obtain such benefits for inter-organizational processes, partly due to a lack of trust. This paper considers a blockchain approach to address this problem. Bitcoin has demonstrated how blockchain can provide a distributed system without the need for trust through cryptography and decentralization. LTO extends this approach with a decentralized workflow engine for ad-hoc collaboration. Information is exchanged between participants through private event chains for each process and hashed on a public blockchain. This hybrid approach allows organizations to comply with data protection requirements and avoid scalability issues typical of blockchain projects. The advantages of LTO live contracts over Ethereum smart contracts are discussed. Live contracts do not contain values directly, but describe the interaction between the parties, unlike the cryptographic "boxes" of smart contracts. Modeling live contracts as finite state machines allows visualizing them in the form of a flowchart. Alternative modeling techniques such as Petri nets and BPMN are discussed. The article describes a scenario-based approach to defining a workflow containing states, actions, participants, assets, and embedded data objects. The features of data objects, participant identifiers, process execution and its adaptability are detailed. The author explains the operation of a private event chain as an ad-hoc private blockchain that ensures the consistency of the process state between nodes. Methods of ensuring data privacy are discussed. The second part of the article is devoted to the global public blockchain LTO to confirm information from private event chains. The consensus algorithm is explained based on the importance of token ownership and its use to prevent abuse. Optimizations, such as the NG protocol and aggregation blocks, are discussed to scale with a large number of transactions. The last part describes the architecture of the platform and its components: microservices, application layers, container orchestration. The platform makes it easy to digitalize and automate inter-organizational interactions using live contracts on the blockchain. [ABSTRACT FROM AUTHOR]

The article examines modern trends in accounting automation, identifies problems and prospects for the development of this process. In addition, it is stated that the automation of accounting at the enterprise is a very relevant process, as it makes it possible to significantly facilitate and speed up the work of accountants, reduce the probability of errors and improve the quality of accounting, which contributes to the improvement of analytical capabilities, ensuring compliance with accounting standards and legislation, as well as reducing costs for maintenance and resources necessary for accounting operations. Automation of accounting and the use of computer programs can lead to numerous positive consequences for the enterprise, in particular: the automation of accounting processes allows employees to spend less time on routine tasks and pay more attention to strategic analysis and management decision-making, computer programs provide automatic control of correctness data and calculations, which helps to avoid errors in financial accounting, thanks to automation, data is stored in a centralized database and is easily accessible for viewing and analysis in real time, computer programs provide opportunities for rapid generation of reports, analysis of financial indicators and forecasting of enterprise development, the automation of accounting allows you to reduce labor costs, paper documentation and other administrative costs, automated accounting systems allow you to ensure greater control over financial transactions, detect fraud and deficiencies in the system. The article detailed the main comparative characteristics of computer programs for accounting. Concepts and methods for improving the efficiency of accounting automation are proposed, which will contribute to increasing the quality and speed of accounting processes in organizations. Analysis of computer support for the process of accounting, reporting and taxation is important for the efficiency and accuracy of financial reporting of the enterprise. During the analysis, you should pay attention to the following aspects: software functionality, compatibility with other systems, data protection, updates and support and cost. Conducting an analysis will help to choose the optimal software for effective accounting and taxation management of the enterprise. [ABSTRACT FROM AUTHOR]

Methodology. This paper presents an optimized method of geodata processing based on deep neural networks (GeoDNN+ 2.0), which offers an efficient and automated approach to geographic data analysis. The introductory section details the shortcomings of existing geoinformation processing systems, such as complexity of setup, limited resources and processing time, unreliable results, and the need for constant monitoring. It emphasizes the need for a new approach that addresses these shortcomings and opens up new perspectives for geoinformatics. Findings. GeoDNN+ 2.0 is based on deep neural networks, which are used to automatically determine the characteristics of geographic objects without prior manual data processing. This avoids human errors and improves processing accuracy, while self-learning mechanisms ensure continuous quality improvement using new data. GeoDNN+ 2.0 demonstrates high efficiency in processing large volumes of geodata due to its optimized structure and parallel computing. Another important advantage of GeoDNN+ 2.0 is its ability to effectively integrate with various geodata sources, which allows you to get the full amount of information and provides comprehensive analysis. This is especially useful in areas where a large amount of data from different sources requires in-depth analysis and convenient integration tools. The overall goal of the article is to reveal the potential of GeoDNN+ 2.0 in solving various geoinformatics problems and show its advantages over existing systems. To achieve this goal, the authors present a detailed analysis of the GeoDNN+ 2.0 architecture and provide examples of its implementation on the example of classifying geographic objects in shapefile format. In general, the article demonstrates that GeoDNN+ 2.0 is a powerful and promising tool for modern geoinformatics that solves the shortcomings of existing systems and provides optimised opportunities for automated processing and analysis of geodata, taking into account the needs of the modern world. [ABSTRACT FROM AUTHOR]

The paper examines in detail the possibilities of using mathematical models and algorithms used to automate and improve electronic document management. This article also explores the potential of algorithms and mathematical models in document management automation. The role of mathematical models in document flow automation and the possibilities of improving these models are considered. The researched scientific papers show great promise in improving electronic document management and mathematical models for document management automation. However, most of the studies do not consider possible risks and problems in implementing improvements from the mathematical model for electronic document management. Also, an assumption was made about the ideal mathematical model for electronic documentation at the moment.

Abstract. This research paper explores the use of Reinforcement Learning (RL) and traditional graph algorithms like A* for mobile robots in the field of path planning and strategy development. The paper conducts a comprehensive analysis of these algorithms by evaluating their performance in terms of efficiency, scalability, and applicability in real-world scenarios. The results of the study show that while both RL and A* algorithms have their benefits and limitations, RL algorithms have the potential to provide more effective and scalable solutions for mobile robots in real-world applications. The paper also provides ongoing research directions aimed at improving the performance of these algorithms and concludes by offering valuable insights for researchers and practitioners working in the field of mobile robots. The purpose of this project is to evaluate the performance of these algorithms, identify their benefits and limitations, and contribute to the development of more effective and practical solutions for mobile robots in real-world applications. The results of this study will be valuable for researchers and practitioners working in the field of mobile robots, as it will provide a comprehensive analysis of the use of RL and A* algorithms and offer ongoing research directions for improving their performance.

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The paper describes how MIP-mapping and paging can be used to represent not only terrain imagery, but also terrain elevation. Previously the only things missing to implement Earth coverage were computing power, input/output bandwidth, graphics processing units (GPUs) and techniques to deal with large data sets. The article describes the rendering method that uses the GPU for most of the calculations. Modern graphics accelerators for personal computers allow you to solve problems that require the generation of images of the visual environment of photographic quality in real time. High-quality visualization of large continuous spaces of 3D vegetation is one of the requirements when creating most land transport simulators, as well as many virtual reality applications. Representation of large forest spaces in the form of free-standing tree models that have an acceptable visual quality for close-up display from the observer, it is impossible due to the huge number of primitives required for visualization. The article proposes use parallel calculations in GPU to accelerate rendering. We successfully integrated proposed visualization method into the standard rendering pipeline. For considered tests the application with GPU average ten times faster, than the version using only CPU. The proposed method takes into account the features of the architecture of modern GPUs and allows you to distribute the load on the display between the CPU and GPU. In this case, the method does not require significant resources for visualization. The implementation of the method showed that received speed in most cases is sufficient for the effective application of the method in computer games. The paper also proposes a method for high-quality visualization of large continuous spaces of 3D vegetation.

This paper describes a blockchain-enabled e-voting system that uses digital wallets to represent voter credentials, with each voter receiving a single "coin" to cast their vote. The voting process includes steps for voter registration and identification, as well as the casting of votes using encryption or hashing algorithms. The authors discuss various methods for voter identification, including the use of private and public key pairs, ID documents, and biometric data. They also mention the use of the SHA-256 hashing algorithm for added security. The goal of the project is to develop a flexible system that can be used in any institution and that guarantees maximum security against fraud. The system is built using Rust, a new experimental programming language developed by Mozilla, and makes use of "task trees" to manage the voting process. Consideration of various methods for voter identification, including the use of private and public key pairs, ID documents, and biometric data, shows a commitment to providing a flexible solution that can be adapted to meet the needs of different institutions and voting scenarios. The use of the SHA-256 hashing algorithm also adds an extra layer of security to the system, making it more difficult for malicious actors to manipulate or tamper with the voting process. The use of Rust and "task trees" to manage the voting process also indicates a focus on developing a robust and efficient system that can handle the complexities of large-scale voting. Rust's emphasis on safety and memory management can help prevent common programming errors that can lead to security vulnerabilities, while task trees can provide a structured approach to managing multiple concurrent voting processes. Overall, the blockchain-enabled evoting system described in this paper presents an interesting approach to addressing the challenges of secure and transparent voting processes. However, as with any new technology, it will be important to thoroughly test and evaluate the system to ensure its reliability and effectiveness before it can be widely adopted

The research paper presents a comprehensive study and development of a web-based content sharing system, the main purpose of which is to stimulate and distribute photo and media content, textual information about video game characters in the Ukrainian segment of the Internet through a convenient and efficient platform for users. This study formulated the requirements for the content sharing system and the stages of its development. Based on the requirements for the implementation of the system, a web-based content exchange system was developed, consisting of a client application (frontend) and a web server (backend) using third-party SaaS solutions to store media content and user information for the content exchange system. The system is designed to provide users with a convenient and efficient tool for sharing information about video games. The development process consists of the following stages: researching the context of formulating functional and non-functional requirements, selecting technologies to implement the system in accordance with the requirements for the frontend and backend. Also, unit and end-to-end tests are written for the developed applications to ensure that the system has the expected behavior. Completion of all stages and implementation of front-end and back-end applications in accordance with the requirements is the result of this work, namely a web-based content exchange system that meets all the requirements and provides an effective exchange of information about video games in the Ukrainian Internet segment.

This paper introduces a methodology based on machine learning and remote sensing for detecting military-induced damages to agricultural lands in Ukraine using free Sentinel-2 satellite data. The most informative spectral bands (B2, B3) and vegetation indices (NDVI, GCI) were experimentally selected for recognizing damaged fields through the Random Forest classification algorithm. Additionally, an anomaly detection method based on the estimation of deviations of pixel values from the mean within each field was applied to determine local damage in the identified affected fields. The proposed methodology demonstrated high classification accuracy with an f1-score of 0.87%, producer’s accuracy of 0.89%, user’s accuracy of 0.85, and sensitivity for detecting local damage. The developed anomaly detection method allows to recognize damage visible on the 10-meter pixel of the Sentinel-2 satellite, but does not identify small craters. Cloudiness of satellite images can significantly impair the accuracy of damage detection, and the method of local damage detection can respond to non-military anomalies and requires careful selection of threshold coefficients for each field. The study conducted a comprehensive assessment of damages inflicted on Ukrainian agricultural fields during the period 2022-2023, revealing that a total of 1,544,952 hectares, equivalent to 5.72% of the total agricultural area, experienced damage. This included 509,107 ha of wheat, 114,302 ha of sunflower, 68,830 ha of maize, 4,029 ha of rapeseed, and 16,561 ha of other crops. The most affected regions were Donetsk, Zaporizhia, and Kherson oblasts. The comprehensive findings of this research provide valuable insights for monitoring the state of agriculture and formulating strategic plans for the recovery of agricultural resources amidst the ongoing military conflict.

In the conditions of technological progress and rapid development of information technologies, it is very challenging to prepare specialists in the field of information and communication technologies who would fully possess the knowledge and skills to work with the diverse range of instrumental and software tools and equipment used in the field. This is due to the continuous improvement and updating of programming languages, frameworks, software environments, shells, and hardware. One of the ways to address this issue is through computer-based educational programs, allowing the individualization of the learning process while preserving it’s quality. Currently, there is a large number of computer-based educational programs used in the study of various disciplines. This paper presents the design of a computer-based educational program on the subject "Fundamentals of Computer Modeling," which enables the modeling of random patterns of various natures, ranging from random events to random streams. The educational program consists of three modules, which include a theoretical part on methods of modeling random patterns, testing after each topic, and a calculator for all modeling methods. In each modeling method, you can input any initial data, such as the number of trials, probabilities of events, functions, and parameters of distribution laws. The results of modeling random patterns can be saved as a file. The program interface is available in three languages: Russian, English, and Kazakh. The currently developing educational program aims to improve the learning process in the "Fundamentals of Computer Modeling" discipline and allows learners to study it independently without any interventions from a professor.

The development of a voice assistant based on neural systems is an actual line of research in the field of artificial intelligence. Existing voice assistants were analyzed and their advantages and disadvantages were identified in this paper. The following concepts were considered: natural language processing, and neural networks. Different methods of natural language processing significantly increase the quality of work of many programs, because they can interact with people at a natural level for humans without any problems. Modern voice assistants can help millions of people around the world at the same time, regardless of the time of the request. They are covering more and more spheres every year, from ordering food and taxis and making plans for the day to acting as translators. The types of dialogue systems, the voice assistants` scope of use and their types, recurrent neural networks and data processing models Seq2seq and Transformer, as well as the work of the theoretical component of voice assistants based on neural networks, were considered. Node.js libraries were examined in detail, and an own voice assistant was created and outputs of this system were given. In addition, the possibilities of integrating the voice assistant with other systems and platforms, which expands its functionality and improves interaction with the user, were examined. General theoretical information about voice assistants and their components and principles of work were analysed. An environment for writing a voice assistant was chosen and a practical implementation of writing code for a voice assistant and an example of ready-made code were shown.

This research paper is devoted to solving the problem of assessing the quality of business process models, in particular, evaluating the comprehensibility of text labels in these models. The purpose of the work is to increase the understandability of text labels in business process models to improve the overall quality of these models. This problem is relevant, since poorly understandable business process models may cause errors when described workflows are executed, or when they are analyzed for process improvement. Moreover, such errors may decrease the performance of business processes if involved parties misunderstand required tasks and lead to monetary losses or even more dangerous consequences for critical business processes. Thus, to achieve the goal, it is necessary to create an algorithmic solution to solve the specified problem. In this work, the issues that existing studies did not resolve or did not reveal properly, and the main shortcomings of the existing software solutions that should solve the problem mentioned above are identified. The proposed algorithm is based on the natural language processing techniques, such as tokenization and part of speech tagging. The proposed algorithm considers the recommended “verb-object” labeling style of activity text labels in business process models. The comprehensibility of a sample business process model is evaluated using the Python implementation of the proposed algorithmic solution. Obtained results are discussed, a conclusion is made, and future research directions are formulated.

War conditions always pose a series of challenges for a country, including ensuring the security and efficiency of the energy system. In such circumstances, the development and improvement of the country's energy system become particularly important. One of the main tasks of the energy system in wartime is to ensure the provision of electricity for civilian and military needs. To achieve this, it is necessary to ensure the uninterrupted operation of power plants and power transmission networks, as well as to carry out timely repair work and equipment replacement. Additionally, it is important to en)sure the energy security of the country. War conditions may lead to a decrease in energy production, which can result in dependence on the import of energy resources. Therefore, the development of do)mestic energy and the use of renewable energy sources become especially relevant. It is also important to develop and implement new technologies in the energy system, which will reduce energy production costs and increase its efficiency. For example, the use of modern energy flow management systems and remote monitoring will ensure the optimal operation mode of the energy system. Ukraine has significant potential for the development of wind, solar, and hydro energy. One of the main directions for the development of domestic energy is increasing the number of installed wind and solar power plants. In particular, the Ukrainian government plans to increase the share of electricity production from wind and solar power plants to 25% of the total production volume by 2035. Another important direction for development is the modernization of existing hydroelectric power plants and the construction of new ones, which will increase the electricity production capacity using water energy. Ukraine also has potential for the development of bioenergy, including the use of biomass and agricultural waste for electricity and heat production. Overall, the development of domestic energy has significant potential to reduce Ukraine's dependence on imported energy resources, decrease emissions into the atmosphere, and improve the environmental situation in the country. Therefore, the development and improvement of the country's energy system in wartime are important tasks that will ensure uninterrupted functioning, increase efficiency, and provide energy security for the country. [ABSTRACT FROM AUTHOR]

There is a lot of routine work in any organization, including in recruitment agencies. Effective management organization and automation of activities of employees of recruiting agencies is not an easy task. The system should automate the routine actions of workers of recruiting agencies and be convenient for their clients. This paper proposes an approach to automating the selection of necessary medical staff. Not all information systems used by recruiting agencies can compare candidates and generate results that include several of the best candidates. Based on the analysis of the subject area, groups of parameters that significantly affect the choice of medical personnel were determined. The proposed approach is to analyze the request from the client, and then in the system find requests of other clients similar to it in terms of parameters, for which a candidate has already been found. The next step is to take the profiles of healthcare professionals that have been suggested for these requests (they act as benchmarks) to further compare them with existing candidates. Each employee profile parameter has its own similarity function. Available candidates will receive scores and will be ranked. We also additionally adjust the assessment by comparing candidates with the current request. Software was developed to automate the selection of medical personnel. For its implementation, a three-level client-server architecture is proposed. MVC (Model View Controller) architecture was chosen for the server part. The Single Page Application architectural template is used for the client part. The server part is divided into three layers, which further demarcate and structure the responsibilities of the system components. .NET technologies are used to implement business logic. SQL Server is used for the server and database provider. The use of the software implementation of the developed system demonstrated quite good results. The average time for selecting the 10 best candidates out of 500 is 0.4 seconds, and the processing of only 1 resume by a person takes several minutes.

A dramatic change in the abilities of language models to provide state of the art accuracy in a number of Natural Language Processing tasks is currently observed. These improvements open a lot of possibilities in solving NLP downstream tasks. Such tasks include machine translation, speech recognition, information retrieval, sentiment analysis, summarization, question answering, multilingual dialogue systems development and many more. Language models are one of the most important components in solving each of the mentioned tasks. This paper is devoted to research and analysis of the most adopted techniques and designs for building and training language models that show a state of the art results. Techniques and components applied in creation of language models and its parts are observed in this paper, paying attention to neural networks, embedding mechanisms, bidirectionality, encoder and decoder architecture, attention and self-attention, as well as parallelization through using Transformer. Results: the most promising techniques imply pre-training and fine-tuning of a language model, attention-based neural network as a part of model design, and a complex ensemble of multidimensional embeddings to build deep context understanding. The latest offered architectures based on these approaches require a lot of computational power for training language model and it is a direction of further improvement. Ref. 49, pic. 13

The objective of the paper is to analyze the trends of digitization process of personnel management service, to investigate their main capabilities and risks since it is necessary to examine the risks and opportunities for the implementation of different digitization tools in HR-service activity. The results of the conducted poll show that the main advantages of digitization are: the reduction of time spent on standard personnel management procedures, ensuring transparency of personnel management processes, simplifying the employees interaction, integration with various information systems and web-resources, development of the company HR-brand, cost savings due to automation, adaptation processes tracking, development and professional growth of employees, data specification and accuracy. At present HR-processes are automated due to various digital solutions. In our investigation, various programs and systems, starting from the video conferencing program «Zoom» up to HRM systems such as «SAP HCM» and «Oracle HCM» are analyzed. They are attractive owing to their simplicity, ability to integrate with other systems and because of their low cost. However it is not possible to define universal digital technologies and tools for all organizations For each individual organization, only those digital technologies which are useful in its development and existence conditions can be applied. It is necessary to combine different approaches and methods, making it possible for the organization to optimize HRprocesses. At the same time, digitization requires both money and time. At present every HR should first and foremost define the role that will help executives and employees to transform and adapt quickly to the digital way of thinking. It is HR-service that determines the productivity of the team and, as a result, of the company as a whole. By means of various digital solutions, modern HR creates the environment for employees where they work efficiently and productively. The leading companies experience in HR functions digitization proves its effectiveness. However, the implementation of its various methods and approaches, as well as the evaluation of their effectiveness, requires further investigations. [ABSTRACT FROM AUTHOR]

The issue demonstrated in the article covers construction of surveillance and security systems on Arduino UNO platform Technological and Software aspect which are based on Quality Semiconductor Sensor-MQ135; PIR Motion Sensor and use of blocking peculiarities. The project model integration process in both a virtual and physical context is described in detail and analyzed in the paper. The following are specifically used: An Arduino UNO microcontroller board, the Arduino Software IDE (Integrated Development Environment), a local code editor on the PC, and the virtual online platform tinkercad.com. The work is supplemented by pertinent electronic diagrams, schemes, software code, descriptions of fundamental functionalities, links to virtual project simulation, real-world application, and links to video recordings of the experiment in order to demonstrate the project model's smooth operation.

The current standard considers the efficiency of electric motors only in terms of power efficiency and does not pay attention to the so-called economic efficiency - the power factor that affects the loss of electricity in the motor supply network and depends on its energy excellence.This ill-considered approach to establishing the energy efficiency class is a significant shortcoming of the European standard and requires its refinement. The single-phase power supply network in housing and communal services has led to the fact that modern motor compressor units of refrigerators, air conditioners, etc. are equipped with single-phase asynchronous electric motors. An innovative single-phase asynchronous AC motor for motor-compressor units of household appliances is considered in the paper. The stator winding of it is composed of two identical series-connected coils enclosed in half-slots of the stator with a spacious offset of 900.The phase shift of the currents in the coils is provided by a capacitor connected in parallel to one of the coils. The proposed motor is technological in production, has higher specific power and energy efficiency than existing models and meets the IE-3 class energy efficiency. Equivalent electrical circuit and vector diagram of currents for this motor have been developed and shown. They are intended for its mathematical simulation, calculation of static operating characteristics, analysis of dynamic properties at operation in the electric drive system, and also at the level of design work.

The subject of the study is the mathematical modeling of mechatronic shuttles of multilevel intra-warehouse logistics systems. The purpose of the article is to ensure energy efficiency and high productivity of multilevel warehouse logistics systems by developing mathematical models of mechatronic electromechanical drives as part of automated autonomous shuttle systems (Pallet Shuttle). To achieve this goal, it is necessary to solve the following tasks: to build a mathematical model of the processes occurring in the transportation shuttle as an electromechanical and mechatronic system; to build a mathematical model of the transportation shuttle as an automation object and to obtain a transfer function of the autonomous shuttle system for automatic control of its speed. Conclusions. The paper develops generalized approaches to the construction of mathematical models of electric drives as automation objects. The developed approach assumes that the linearized mathematical model of an electric drive as an automation object is represented as a linear differential equation with constant coefficients that relate the control and the controlled parameter. The construction of such a differential equation is proposed to be carried out by generalizing the properties inherent in electromechanical systems, and it is assumed that these properties are represented by Lagrange equations of the 2nd kind using electromechanical analogies. As a result of the research, it was shown that the use of this approach leads to a definite equation of the mathematical model of the mechatronic shuttle as an automation object. It is shown that the linearized mathematical model of the shuttle as an automation object should be determined by a differential equation of at least the second order. The research results prove the possibility of improving automation systems in design by taking into account the properties inherent in shuttles as electromechanical and mechatronic systems in more detail. It is shown that the use of this approach leads to a definite equation of the mathematical model of the mechatronic shuttle as an automation object, but it is generally almost impossible to obtain such an equation explicitly. To illustrate the proposed approach, we consider the modeling of a typical mechatronic electric drive of machines used in automated storages and present the results of modeling processes in the electric drive. It is shown that the linearized mathematical model of a mechatronic shuttle as an automation object should be determined by a differential equation of at least the second order. The research results show the possibility of improving automation systems during design due to a more detailed consideration of the properties inherent in shuttles as mechatronic electromechanical systems.

The subject of the study is the mathematical modeling of mechatronic shuttles of multilevel intra-warehouse logistics systems. The purpose of the article is to ensure energy efficiency and high productivity of multilevel warehouse logistics systems by developing mathematical models of mechatronic electromechanical drives as part of automated autonomous shuttle systems (Pallet Shuttle). To achieve this goal, it is necessary to solve the following tasks: to build a mathematical model of the processes occurring in the transportation shuttle as an electromechanical and mechatronic system; to build a mathematical model of the transportation shuttle as an automation object and to obtain a transfer function of the autonomous shuttle system for automatic control of its speed. Conclusions. The paper develops generalized approaches to the construction of mathematical models of electric drives as automation objects. The developed approach assumes that the linearized mathematical model of an electric drive as an automation object is represented as a linear differential equation with constant coefficients that relate the control and the controlled parameter. The construction of such a differential equation is proposed to be carried out by generalizing the properties inherent in electromechanical systems, and it is assumed that these properties are represented by Lagrange equations of the 2nd kind using electromechanical analogies. As a result of the research, it was shown that the use of this approach leads to a definite equation of the mathematical model of the mechatronic shuttle as an automation object. It is shown that the linearized mathematical model of the shuttle as an automation object should be determined by a differential equation of at least the second order. The research results prove the possibility of improving automation systems in design by taking into account the properties inherent in shuttles as electromechanical and mechatronic systems in more detail. It is shown that the use of this approach leads to a definite equation of the mathematical model of the mechatronic shuttle as an automation object, but it is generally almost impossible to obtain such an equation explicitly. To illustrate the proposed approach, we consider the modeling of a typical mechatronic electric drive of machines used in automated storages and present the results of modeling processes in the electric drive. It is shown that the linearized mathematical model of a mechatronic shuttle as an automation object should be determined by a differential equation of at least the second order. The research results show the possibility of improving automation systems during design due to a more detailed consideration of the properties inherent in shuttles as mechatronic electromechanical systems.

Traditional approaches to automatic control occupy a major role in today's industry and will probably continue to be mainstream for many years to come. Control systems using elements of modern intelligent control technologies are becoming increasingly popular in current conditions. In the field of public catering, workers will be able to perform the functions of a waiter, bartender, cashier, cleaner and others. The automation of the dosing of liquid products is relevant, in particular, ensuring the appropriate temperature regime when dosing beer at catering enterprises using elements of intelligent control technologies. In none of the research results published in the open access, the issue of ensuring accurate maintenance of the regulation temperature of beer during its dosing has not been resolved. At the Department of Automation of Technological Processes and Robotic Systems of the Odessa National University of Technology, as part of the research work of a master's student, a scientific study of the process of dispensing beer as a control object was carried out and a automatic control system (ACS) of the temperature regime during its dispensing based on elements of intelligent control systems was proposed. A comparative analysis of the functioning of the classical ACS and systems using fuzzy and neuroregulators showed the advantages of their use over the classical one for controlling objects with non-linear characteristics. For technical systems with a random nature of disturbances, their high-order dynamic model and with a nonlinear characteristic, we can talk about the problem of control under conditions of uncertainty. The use of fuzzy and neuroregulators provides roughness and stable convergence of transient processes in a system, so this approach should be considered appropriate. [ABSTRACT FROM AUTHOR]

The control system providing the movement of the gripper of the robot manipulator along the predetermined trajectory is considered in this article. This control system is coordinated. The system provides a concerted change of the control variables under the dynamic modes. The review of modern achievements in corresponding field is presented. The purpose of scientific work is dynamic accuracy increase of the control system providing the movement of the gripper of the robot manipulator along the predetermined trajectory. The model of the control system providing the dynamic link of the control loops are presented in this paper. In this control system the dynamic link of the control loops is realized with the aid of the coordinating links. The designed model of the control system by drivers of the robot manipulator is required for methods of synthesis development of the coordinating complex systems. For comparative analysis we have presented the model of the program control system which has no dynamic link between the control loops. These models are realized in the MATLAB\Simulink program. The coordinating control law of the robot manipulator drives is shown in this paper. The simulation results of various control systems are presented. We have presented the schedules of transition process. They have shown the positional change of the robot gripper in time. On the basis of the simulation results we have confirmed the efficiency of the coordinating control system use for the control drivers of the robot manipulator during the rapid movement along the predetermined trajectory. We have confirmed that for improving the accuracy of the predetermined trajectory fulfillment is required to realize the parametric synthesis of control system considering the discrepancy ratio of the control variables minimization.

In this paper proved the possibility of developing passive electronic inductive elements based replace metal wire that is wound inductor, the wire is made of electret. The relative permeability of the electret S  10 000, several orders of magnitude greater than the permeability of conventional insulation materials, i < 10, resulting current in the wire acquires properties bias current. The essence of innovation is to replace the source of of magnetic induction flow that pervades the core of the coil. According to the theory of electrodynamics, current bias, in contrast to conduction current, generated no movement of charge along the wire, but the change of the charge in the local volume.Equivalence bias current and conduction current is manifested in the possibility of forming a magnetic field. The flow through magnetic induction coil core regardless of the current it generates, creates voltage at its ends.The paper also shows the numeric characteristics that determine the effective frequency range, specified the reason why electric a wire with і < 10 can not generate magnetic flux through the core and serve as a passive reactive component.

Recently, there has been an increase in the automation of complex technological processes in various industries, which is caused by the need to increase production efficiency. Since non-destructive testing (NDT) has become an integral part of many industries, this trend is also observed in it. The obtained image containing information about the condition and quality of the object is the final result of the majority of testing methods. Therefore, automation of processing and analysis of received images is an urgent task for NDT today. The purpose of this article is to review image-processing technologies based on data integration and to consider the prospects of applying these methods to solving the problems of thermal NDT. The article describes the main theoretical principles of image fusion technology, considers the classification of fusion methods, and various modern methods of image fusion of different levels with their pros and cons. Various methods based on spatial data and transformations with quality metrics and their application in various fields were also discussed. In addition, the application of the technology of fusion in the problems of image formation during implementation of the thermal tomography method is considered. The following steps are proposed for the study of the use of fusion in the problems of materials diagnosis. 61 Ref. [ABSTRACT FROM AUTHOR]

Coal is a strategic resource for Ukraine and it is therefore necessary to identify some promising directions for development of mines within the Donetsk coal basin, despite economic and political difficulties. Restructuring plays an important role in improvement of coal enterprises' performance. In her previous publication, the author proposed a coal mine restructuring model which included some technological changes, with information resources being their important element. Computer technology facilities enable mine managers and specialists to obtain reliable, complete and timely information required for taking managerial decisions. The research conducted allowed to identify two main directions for process informatization and automation: technology and management. The technological direction implies equipping coal mining complexes with automated monitoring and control systems. As an example, the author examines functions of a Technologist's Automated Information System (AIST) which collects, processes, transfers and provides necessary information about the longwall operation. Labor safety of miners is an integral part of the coal mining process. To improve its level, there are integrated safety systems in place. The paper describes the UTAS (Unified Telecommunication System for Dispatch and Automated Controls of Mining Machines and Technological Complexes) and ITRAS (International Transportation System) and their benefits. The managerial direction is represented by a SKIP computer support system which performs information computation operations. The conducted analysis of information support of production and managerial activities shows that the restructuring necessitates improved informatization of the above processes. Towards that end, it is proposed to introduce the main modules of the SAMARA geoinformation system, which help develop, update and employ an information and geometric model of a mine take for addressing design, calculation and graphical tasks. To improve quality of administrative efforts of accounting and personnel departments, it is expedient to use Module '1С: Wages and staff' of software '1С: Enterprise'. [ABSTRACT FROM AUTHOR]

The model of facial mask detection in real-time is the object of research in the paper. Proposed model is used to solve the problem of detecting non-masked faces in the video stream. It is shown that models based on facial detectors demonstrate better results compared to general detector if trained on the same dataset. Experimental results show high detection performance with Mean Average Precision of 90%. In addition, proposed solution is robust to the changes of face orientation and position, incorrect mask placement that is confirmed by a demonstration software developed for research purpose. The article investigated correlation between model accuracy and inference time depending on the feature encoder used. Experimental results can be used to determine the encoder network in practical applications depending on available hardware and performance restrictions. Ref. 13, pic. 6, tabl. 2.

The audit of goods is the largest part of the retail audit program, and therefore requires special attention. The article investigates topical issues of conducting the audit procedure for goods at retail enterprises, since in recent years there has been a tendency to increase the number of retail enterprises. In particular, the necessary directions for improving the audit procedure for audit companies operating on the territory of Ukraine have been identified. The article highlights the purpose of the audit of goods, with consideration to the characteristics of the retail trade. Also, based on the scientific research papers, an audit program has been developed that includes the main audit procedures and can be used by the audit team to conduct an audit. In addition to the program, the main sources of information are provided; on their basis, the audit of goods is carried out and the main economic operations of the retail enterprise are reflected. And peculiar methodology for auditing and inventory of goods for practical use in audit activities is offered. On the basis of International audit standards (ISAs), which are used in Ukraine as national standards, the main stages of audit of goods at retail enterprises are identified, which is of practical importance when planning an audit. Automation of audit is of great importance now, so the article considers possible ways to solve this issue, namely, the method of automated inventory of goods at retail enterprises has been developed, which will help the auditor to speed up the stage of physical verification.

This article discusses the polar code is applied to the transmission of control information in broadband telecommunications systems. Channel coding contains a set of procedures for error detection, error correction, rate matching, bit interleaving and mapping of information to physical control channels or transport layer. The article explores a downlink model with polar coding and multi-position digital phase modulation. This model presents the results of Bit Error Rate (BER) for coding scheme with different code rates. The structural scheme of the decision model on the modulation mode of the digital communication system is analyzed in the paper. Dependencies of BER on the effective rate of the polar code with different types of modulation are explored. The modulation mode selection adaptive algorithm for code rate R=0.5 is developed on the basis of the obtained dependencies. The use of signal-code construction based on the polar code can increase the efficiency of the communication system. Ref. 36, pic. 12.

The paper extends the results obtained by Paranyap, Park, Klesov and Kruglova. A method of finding the distribution of the maximum of a Chentsov field restriction on a polyline is suggested. To do this, it was proposed to simulate a random process that corresponds to the restriction. The suggested algorithm has high computational efficiency which is crucial due to a large number of points of division of the process trajectory. The selection of the distributions of extreme functionals from the field was performed by means of the statistical programming language R. The Weibull distribution was chosen as the most suitable distribution, which was confirmed by the Kolmogorov criterion, as well as by Q–Q and P–P diagrams. Ref. 10, fig. 7.

In the conditions of competition and instability production companies forced continuously improve the production process and develop new innovative technologies and equipment in order to maintain their positions in the market. An important role in this play by improving the methods of planning and managing the process of production development, development of innovative products and forecasting measures to adapt to changing requirements of the external and internal market. This paper consider a multiphase sequential technological process (STP) with a branched structure at each phase of the production process. For the Poisson flow of receipt and processing of parts, a mathematical model proposed in the form of multi–channel QS with waiting and queue restriction. On this model, the criteria for evaluating the work of the STP formed and cost models synthesized for solving the problems of innovation and optimization of the STP. For each phase of the production process, the problem of evaluating the effectiveness of innovative equipment upgrades and the problem of selecting the optimal amount of equipment has solved. If there is a discrepancy between the flow of receipt and processing of parts of this mathematical model, the values of the initial criteria determined by the results of a certain number of repeated simulation of the STP operation. Ref.11, pic. 2

SQL statements are used to retrieve information from a database. In most cases, these queries are executed very slowly, the reason for this is the low quality of their writing. For better performance, we need to use faster and more efficient queries. This article shows you how to optimize SQL queries for better performance. The topic of query optimization is very broad, but we will try to cover the most important aspects of this issue. In this paper, I do not focus on in–depth database analysis, but focus on simple hints and tips for setting up queries that can be used to immediately increase productivity. Ref. 6, pic. 5

It has been stated that the effective solution of the tasks of human resourcing and personnel management is one of the main tasks of any organization, institution or enterprise. The National Police of Ukraine is not an exception, and defective planning can lead to the loss of valuable human resources. It has been stressed that nowadays the issues of informatization and automation of human resourcing and personnel management are being paid very little attention, while it is practically impossible to solve the tasks of human resourcing and personnel management in the current situation without the use of information and telecommunication technologies. The tendency in the development of telecommunication technologies in the field of human resources and personnel management is the movement towards the use of electronic systems and software package systems built on WEB-technologies. It has been alleged that the software package system “Personnel Management System of the National Police of Ukraine”, which was fully designed and developed by the employees of the research laboratory dealing with information protection and cybersecurity of Kharkiv National University of Internal Affairs customized by the Human Resourcing Department of the National Police of Ukraine, has no analogues among domestic and foreign software products. From the first days of test running of the software package system’s modules, it became clear that its implementation into the activities of the National Police of Ukraine would provide significant advantages over the usual, manual, “paper” way of working. Compared to desktop software products, the software package system has significant advantages due to its WEB-oriented nature. The experience of exploiting certain modules of the software package system has proved that the use of electronic systems and software package systems built on WEB-technologies is a very timely and progressive step that significantly improves the efficiency of the activities of the entire National Police of Ukraine in the whole.

The paper considers the solution of one combinatorial optimization problem under uncertainty. Its functional in deterministic formulation is a linear convolution of weights and arbitrary characteristics of a feasible solution. A constructive algorithm for its solving is a general linear programming problem solution algorithm. Under the uncertainty we mean the ambiguity of the weight values in the functional we optimize. We propose a new approach for finding a compromise solution by the criterion of minimizing the total weighted excess of “desirable” upper bounds on the optimal values of particular functionals. The basis of this approach is the construction and solution of some linear programming problem. We illustrate this approach on a transportation problem example in conditions of uncertainty. Ref. 15, tabl. 2

Optical mark recognition is the process of extracting respondent data from scanned form images by determining the state of its input fields (marks). This paper discusses the software used in solving the problem. It examines the existing applications, outlines their areas of use, and highlights the main limitations. Taking into account the pros and cons of such applications, an alternative solution is proposed. The system implements the necessary elements of automatic identification of forms and consolidation of data from them for nonprofit organizations and small businesses. Ref. 5, pic. 2

The paper is devoted to the implementation of an approach to designing an object-oriented decision support system for automating organizational management processes. The structure of such a system is based on the problem-independent components of the presentation of the subject area of the organizational and technical system, on the basis of which the decision maker implements the functional tasks of organizational management. On the basis of the principles of object-oriented modeling, sets of information classes of objects of the vocabulary of a subject domain are selected, which make it possible to construct an object information model of a specific subject area of an ADSS application object. The information technology platform for the creation of the ADSS is considered, which requires such an organizational and functional structure of the software environment in which the objects of the subject area and the relationships between them are determined independently of the implementation of functional tasks of data processing in the procedures and interfaces of the system, and represent a single structure. As a result, a functional ADSS organization was proposed in the form of a unified information environment for constructing a computer organizational management system that implements monitoring of production indicators of organizational and technical system entities, in particular, the electricity market. Ref. 15, pic. 2

The use of nanobots in the field of diagnosis is strictly related to the prohibition of cell damage during its disembarkation or removal from the body. Appropriate size requirements can be achieved only by molecule or small molecular complex that can be used for functions diagnostics in a living system. Such functions can be done only with presence of an energy source. Furthermore, this function is accompanied by energy dissipation. The relevance of the proposed study is due to the need for rapid and, importantly, accurate living creature body condition diagnostics. The proposed topic combines two aspects: purely technical (functioning of nanobots) and biological - the condition of the body. These aspects are themselves important enough scientific problems and their combination requires the creation of a technical and biological concept of diagnostics without damaging the functions of the living organism and its cells. In this paper, we propose a technique for applying nanoscale robotic systems toward the specific place, which diagnostics need them to be. Ref. 12

This paper dealing with the problem of generation motion of biped robot, to solve this problem, was introduces a new method of implementation a biped robot walking pattern generation byusing a Model Predictive control (MPC) First, the basic of biped robots’ motion was reviewed and was discussed the elements of motion controller. The dynamics of a biped robot is modeled as a running cart on a table which gives a convenient representation for generation ZMP trajectory. After reviewing approach of 3D Linear Inverted Pendulum Model, a pattern generator was designed, lastly in MATLAB/Simulink and using Model Predictive Control Toolbox (MPCT) which provides functions, an app, and Simulink blocks was used for designing and simulating a motion generator based on model predictive controllers (MPC). The results of simulation are shown that we can realize such controller for generating trajectory of Center of Mass and Zero Moment point by using the MPC. The smooth trajectory of CoM is generated and the resulted ZMP follows the reference with good accuracy. Ref. 13, pic. 6

The intensive development of the telecommunications sector is directly connected with the introduction of the latest radio technologies and communication systems, the emergence of new services and communications. In these conditions, the provision of the requirements for the radio frequency resource of all categories of users is carried out at the expense of redistribution of already mastered and further development of new frequency ranges. Redistribution of frequencies, in turn, leads to an increase in supply on already developed ranges, which is due to the growth of the number of existing radio electronic devices, and to the complication of electromagnetic environment. The development of new ranges dictates the need to allocate radio frequency bands for the latest radio technologies, systems and communication standards. In these conditions, the task of controlling the PCR and ensuring the electromagnetic compatibility of radio electronic devices and emitters are of great practical importance. These tasks can be solved only with the implementation of the appropriate scientific and methodical apparatus of radio monitoring, the application of which would enable the efficient use of radio frequency resource in modern conditions. Therefore, the topic of the thesis is relevant. The paper presents the reasons for the occurrence of interference in the work of radio electronic devices in a complicated electronic environment, examines the modern scientific and methodical apparatus of radio monitoring with the definition of the electromagnetic environment at this location for the solution of frequency scheduling of RES. Ref. 5, fig. 2.

Software-defined radio (SDR) allows using software to set or modify working radio frequency parameters: communication standard, frequency range, modulation type, output power, etc. An interpolator is an integral part of the transmitter, which increases the sampling frequency of the modulated signal. Interpolators are built on the basis of integrated cascaded integral-comb (CIC) non-multiplier filters. CIC interpolation filters have uneven amplitude-frequency characteristic (AFC), so the CIC compensator filter is turned on for its alignment. The eye-diagrams of signals with different interpolation coefficients are investigated in the paper. The quality of the signal in the transmitter can be evaluated by the eye-diagram. Interpolation is accompanied by the effect of amplifying the signal, reducing the time of increase in pulse, reducing the signal quality factor. The jitter in the transmitter decreases when the interpolation factor is a multiple of the sampling rate of the information sequence of symbols. If the signal quality factor is Q>7, the bit error rate has a BER

Purpose. In modern conditions of energy consumption growth and a rapid increase in energy prices the actual problem is the development and implementation of energy efficiency programs and resource-saving conversion in to a source to provide the needs of industry and municipal power. The paper aims to solve the urgent problem of energy saving and efficient use of fuel-energy ones and heat supply system optimization on the basis of Uman National University of Horticulture (UNUH). Methodology. The work investigated the process of heating and hot water supply in the course of 2007-2015 years. Implementation of current problems of energy saving is grounded on the scientific-practical and efficient assurance of fuel and energy usage. At the same time energy-saving technologies are viewed as a priority direction of the energy sector development, reduction of man-induced impact on the environment and as a way of improving the competitiveness of the national economy. Findings. Statistical data acquisition and analyzing of gas flow and outside air temperature for nine years was carried out. On the basis of this analysis, the problem was identified and specific targets for its solutions were set. Originality. Scientific novelty lies in solving the problem of energy saving and efficient use of fuel resources in Ukraine through the use of a systematic approach, the methodology development of efficient use of different fuels and optimization of local heating operation, applying contemporary automation and control systems. Firstly it was in detail analyzed and conducted the comprehensive assessment of various factors influence on energy conservation. It takes into account the human factor, professionalism and responsibility of the operators of boilers and their superiors, as well as the relevant control services. Practical value. For UNUH campus hybrid use of solid fuel and gas boilers was carried out. Decentralization of the university heating system has been conducted through the restoration of 350 individual heating systems in residential buildings, remote departments and campus dormitories. The conclusions propose the list of activities upon the real economy of fuel and energy resources, and measures to overcome the economic and political crisis in the country.

In this paper, the authors conducted study of a number of parameters configuring the CFD-program Flow Simulations of the CAD SolidWorks for increasing the efficiency of modelling of ultrasonic flowmeters and orifice flowmeters. According to the results of the work, the authors proposed criterion for the accuracy of mass flow reproduction by means of CFD simulation and the ranges of CFD-program Flow Simulations parameters setup of the CAD SolidWorks: the optimal type of boundary conditions at the inlet and outlet of the three-dimensional layout of the measuring section of the pipeline with a flow meter of a certain type is selected; location of the inlet section of the flowmeter; minimum-sufficient value of the level of fragmentation of the basic simulation grid; the distance between the creator modified grid of a three-dimensional layout. The recommendations suggested by the authors provide an opportunity to provide a reproduction of mass flow during the modelling of gas-dynamic phenomena in the considered flow meters with an error of not more than 1%, with the minimum possible duration of the model's solution. This allows you to improve the efficiency of simulations of flowmeters using the CFD-program Flow Simulations of the CAD SolidWorks. The results of the work are especially relevant when using computational fluid dynamics for conducting time-limited training courses for students of technical specialties, in particular in the field of automation and computer-integrated technologies. The recommendations given by the authors of the work on the software settings of CFD-program Flow Simulations of the CAD SolidWorks can be interpreted for both the considered and other CFD-programs that are used to solve scientific applications of ultrasonic flowmeters and orifice flowmeters.