Open Information and Computer Integrated Technologies
Founded in: 1999 Field of science and issues in focus: The collection covers methods of integrated design, construction, three-dimensional parametric modeling, production preparation, engineering analysis with the help of CAD / CAM / CAE / PLM systems, aerodynamics, strength, design and technology of aircraft engineering. Methods for ensuring the safety of structures during long-term operation, the aircraft lifecycle information support system, life safety systems for aircrafts, questions of economic risk analysis, methods of support, and management decisions are considered. The publication is intended for specialists of industrial and scientific organizations, teachers, post-graduate students and students. The edition is included in the List of Scientific Professional Publications of Ukraine (Category "Б") by the Ministry of Education and Science of Ukraine № 1301 of 15.10.2019. Specialties (ISCED-F 2013): 0715 Mechanics and metal trades 0716 Motor vehicles, ships and aircraft 0788 Inter-disciplinary programmes and qualifications involving engineering, manufacturing and construction ISSN: 2071-1077 (Print), 2663-2411 (Online) Media identifier No. R30-01719 (Decision dated 10/26/2023 No. 1146). Indexing: Vernadsky National Library of Ukraine; NRAT; «Ukrainika naukova»; «Dzerelo»; Ulrichsweb Global Serials Directory; OCLC WorldCat; Index Copernicus, Scillit, OUCI DOI CrossRef Founder: National Aerospace University «Kharkiv Aviation Institute» EDRPOU code: 02066769 Founder's ROR: https://ror.org/048j5n646 DOI prefix: 10.32620/oikit Editor-in-Chief: Grebenikov Oleksandr Executive secretary: Gamanukha Tamara Editorial office address: 61070, Kharkiv, 17 V. Manka Str., chair 103. Tel.: +38(057)7884363, +38(057)7884084 E-mail: agrebenikov@ukr.net Archives of issues are HERE This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Національний аерокосмічний університет "ХАІ"
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License that allows others to share (copy and redistribute the material in any medium or format), adapt, remix, transform, and build upon the material: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial — You may not use the material for commercial purposes. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Features of the regulatory framework for certification of electric vertical take-off and landing aircraft
The work is devoted to the study of modern features of the regulatory framework for the certification of electric vertical take-off and landing aircraft (eVTOL), which form the basis for the development of advanced air mobility. The purpose of the study is to identify key technical, regulatory and infrastructure challenges that affect the creation of coordinated international requirements for the safe operation of such aircraft. The scientific novelty of the work is the disclosure of differences between the European risk-based approach and the American model of individualized special class certification, which allows identifying structural reasons for the fragmentation of the features of the regulatory framework. The work provides a classification of eVTOL according to various criteria, and also identifies the main objects of the procedure for confirming compliance with safety requirements. The article analyzes the regulatory mechanisms of the two leading aviation authorities EASA and FAA, establishes the features of the application of special conditions for electric vertical take-off and landing aircraft, and identifies the specifics of adapting existing standards to innovative electric power plants. The focus is on the requirements for fault tolerance, thermal acceleration management, redundancy architecture, and electronic system interaction, which are critical for achieving a high level of flight safety in an urban environment. The problems of harmonizing requirements for protection against external influences, bird strikes, and the integration of operators and pilots into a single operating system are revealed. The conclusions establish that the certification of electric vertical take-off and landing aircraft is in the transition stage from conceptual development to practical standardization, and the harmonization of international requirements requires further convergence of risk assessment methodologies and technical reliability of systems. It is also determined that the key barrier remains the technological limitations of new electrical systems, which require further research and optimization to meet the requirements of global aviation safety.
Copyright (c) 2026 Олексій Миколайович Литвинов, Олексій В’ячеславович Чуприна, Вадим Олександрович Гребеніков, Максим В’ячеславович Чуприна
Method for optimal design of composite structural elements based on strength and stiffness conditions
The article considers a method for optimal design of composite structural elements under the conditions of strength and stiffness, in particular small-sized housings made of composite materials in CAD/CAE systems, the initial data for the calculation of which are the elastic constants of the fiber and matrix, as well as the volume content of the fiber in the composite. A model of a composite material (CM) has been developed to calculate the winding structure of structural elements. The choice of coordinate systems that ensure the winding process of structural elements has been justified. When calculating the CM in ANSYS, one of the necessary conditions is to define the model and specify the material properties. An orthotropic material was selected for the calculation. The elastic constants of the composite material were determined for modeling the winding process. The elastic moduli and Poisson's ratios of the fiber and matrix were determined, as well as the volume content of the fiber in the CM, and the elastic constants of the layer as a whole were calculated. A program was written in the Mathcad 15 environment to verify the calculation. The structure of the composite material of a small-sized housing was calculated. To verify the correctness of the approach when choosing the calculation method, a small-sized housing was calculated, conditionally reinforced with a layer [0°] and [90°] relative to the Z axis. The deformation of the small-sized housing loaded with internal pressure was analyzed and the operation of the layers of the composite material was shown. The liner calculation was carried out in the Cartesian coordinate system (CS), the cylindrical part of the layer [0°] and the layer [90°] in the cylindrical CS, and the circumpolar parts of the layer [0°] in spherical CS. The test calculation was carried out on a small-sized housing of the “balloon” type in the ANSYS software package using the finite element method (FEM). The stress-strain state of the small-sized housing loaded with internal pressure was obtained. The calculation performed allows optimizing the design based on the allowable stresses of the CM and liner layers in the ANSYS software package and obtaining the values of the structural parameters used for the composite hull and required for developing the winding program. To reduce the maximum stress that occurs in the liner in the area of the transition from the cylindrical part to the spherical part, a two-zone winding simulation was considered. At the same time, the nature of the distribution of equivalent stresses for the single-zone and two-zone winding schemes of the hull bottom was obtained. When winding the bottom in two zones, the stresses are reduced, which is associated with the formation of a more uniform bottom thickness. The developed method for designing structural elements from composite materials is suitable for modeling power elements of aircraft, such as high-pressure cylinders, pipes, solid propellant rocket casings, transport and launch containers and other hull structures.
Copyright (c) 2026 Ігор Владиславович Малков
Features of the technology for producing wing flaps for transport category aircraft
This work analyses and summarises the technological features of assembling flaps on transport aircraft, as well as identifying the main areas for improvement in assembly processes. An analysis of the design features of transport aircraft flaps, the formation of technological requirements for their assembly, a review of a typical technological assembly process, and an assessment of the problems and prospects for the development of this branch of aviation production are carried out. Strict re­quirements for accuracy are imposed on the design and assembly of flaps, which are regulated by design documentation and industry standards. These requirements can only be met by using a well-thought-out assembly scheme, precise equipment and a developed quality control system at all stages of the technological process. The paper considers the technology of flap assembly, taking into account design, technological and organisational factors. An analysis of the design and features of transport category flaps has been carried out. One of these features is the high sensitivity of their aerodynamic characteristics to deviations in geometric shape. In this regard, strict re­quirements for accuracy are imposed on the design and assembly of flaps, which are regulated by design documentation and industry standards. These requirements can only be met by using a well-thought-out assembly scheme, precise equipment and a developed quality control system at all stages of the technological process. Techno­logical requirements provide for strict control of connection parameters: diameter and shape of holes, fastening installation force, absence of gaps and defects. When using adhesives and sealants, the conditions for performing operations are additionally regu­lated: ambient temperature and humidity, surface preparation, holding time and methods of quality control of joints. The technological requirements for the assembly of transport category aircraft flaps are a set of interrelated conditions and restrictions aimed at ensuring high precision, strength, reliability and reproducibility of the design. The article discusses the preparation for the production of transport category aircraft flaps, which is one of the key stages in the product life cycle and largely determines the quality, labour intensity and economic efficiency of subsequent assembly proces­ses. The system for controlling and ensuring the quality of the assembly of transport category aircraft flaps is considered, which is a multi-level system aimed at preventing defects and ensuring high precision and reliability of the structure. An important direction in the development of flap assembly technology is the introduction of digital technologies, including the use of three-dimensional models, digital twins and virtual assembly process testing systems.
Copyright (c) 2026 Олександр Григорович Гребеніков, Віталій Євгенович Василевський
Studying the processes of creation of high-energy submerged liquid jet and its interaction with deforming blank
The article describes the results of experimental work on substantiating the possibility of using electrode systems of directed influence for electrohydraulic sequential stamping of large-sized sheet metal parts. These systems generate a concentrated flow of energy, which is directed in the desired direction and in specific places. Thus, these systems reduce energy consumption in arbitrary directions. It is shown that in many cases of successful use of this type of forming of sheet metal parts, the mechanism of loading a blank with shock waves is considered, which propagate in all directions of the discharge volume and transfer a certain fraction of the released energy. When stamping large parts, due to their large dimensions, with such a loading mechanism, part of the energy is used unproductively. To increase the efficiency of energy use, it is necessary to use electrode systems of directed influence. The research was carried out in stages - first preliminary computer modeling, and then physical modeling. The computer simulation of the process revealed the mechanism of loading the blank with high-energy submerged liquid jets. The presented results of field studies confirmed the mechanism of such loading. Physical modeling was carried out using complex techniques using high-speed registration of the object's motion and electrical methods for registering rapidly changing parameters. Experimentally obtained dependences of the distribution of the energy flux density coming from the discharge cavities of such systems. Empirical dependences of the energy flux density, pressure pulse and other parameters depending on the conditions of the stamping process were synthesized. The goal of the work is to increase the efficiency of stamping large sheet metal parts by more rational and productive conversion of electrical energy into plastic forming work. The tasks set have been completed. Conclusions have been obtained that predict positive results. Methods used in the study. The study used the method of computer modeling, experimental studies, which include high-speed photographic reading, recording of oscillograms of pulse parameters.
Energy-Efficient Approaches to the Manufacturing of Polymer Composite Structures
This paper investigates approaches to improving the energy efficiency of the manufacturing process of thermosetting polymer composites through optimization of curing parameters. It is shown that the isothermal dwell stage is the longest and most energy-intensive phase of the technological cycle, while curing schedules commonly used in industrial practice and often based on averaged datasheet properties of the resin are not always rational when the part geometry, composite lay-up structure, and heat transfer conditions are taken into account. Within the study, two principal approaches to determining optimal technological parameters are analysed: the experimental approach and the online method. The experimental approach involves selecting curing schedules based on a series of tests for a specific structure, which ensures compliance with the required material properties but is associated with significant time and energy costs. The online method is based on continuous monitoring of parameters characterising the degree of completion of chemical reactions in the resin and enables adaptive adjustment of temperature–time profiles during the forming process without the need for additional experiments. To analyse the curing process, well-established physical and mathematical models of heat transfer and polymerisation kinetics are employed, allowing prediction of the spatial–temporal distributions of temperature and degree of cure within the composite laminate. Particular attention is paid to the investigation of the stress–strain state formed as a result of the combined effects of thermal, shrinkage, and relaxation processes. It is demonstrated that the level of residual stresses can be reduced by ensuring a uniform temperature field, applying double-sided heating, optimising tooling design, and exploiting the relaxation properties of the material. As a result of curing schedule optimisation for a given composite laminate configuration, the duration of the isothermal dwell was reduced by a factor of 1.7, leading to a decrease in energy consumption of the forming process from 40 to 23 kWh without deterioration of processing conditions or product quality. The obtained results are methodological in nature and can be applied in the development of energy-efficient manufacturing technologies for polymer composite structures and in the creation of computer-integrated process control systems.
Copyright (c) 2026 Олексій Олександрович Вамболь, Федір Миронович Гагауз, Світлана Михайлівна Пургіна, Костянтин Петрович Барахов, Павло Володимирович Близнюк
Formation of the information support process for the manufacture of parts on CNC equipment in modern production conditions
Historically, along with the development by Gaspard Monge the language of descriptive geometry, there also was established a basis for describing spatial objects using planar (two-dimensional) projections This caused the framework for forming the technical drawing as the primary document for all mechanical engineering products The rapid advancement of computer technology in recent decades has led to the development and implementation of CAD/CAM systems at manufacturing enterprises, with analytical geometry at their core. This process was facilitated by the capability of new systems to design production objects directly in three-dimensional space, which proved highly attractive for aircraft manufacturing and other high-tech industries in the development and transfer to production of complex-shaped objects. A particularly pronounced effect was observed when object fabrication was performed on CNC equipment. However, the challenge lies in the fact that, beyond geometric form, information about technological and structural features of the product is required. Previously, such information was conveyed through specific rules of drawing execution and technical specifications indicated on the drawing itself. For this reason, the majority of enterprises, after developing a product in a CAD/CAM environment, organized the generation of corresponding drawings, as the systems’ capabilities readily supported this. Consequently, the description of production objects is performed using two languages, which in practice leads to numerous issues. The labor intensity of supporting the production object in two languages increases significantly. The presented article describes the main analytical models and their relationships with the production object, equipment, and fixtures, aimed at enabling the transition to the language of analytical geometry in the support of part manufacturing on CNC equipment.
Copyright (c) 2026 Ігор Миколайович Лисоченко, Ігор Валерійович Бичков, Сергій Миколайович Рябіков, Микола Ігорович Бичков, Ганна Сергіївна Селезньова
Evolution of approaches to intelligent microclimate control in industrial environments: A review of models for cyber-physical systems
This article presents a systematic review of modern approaches to intelligent forecasting and control of microclimate parameters in industrial environments within the context of cyber-physical systems (CPS) development. The analysis covers classical control methods (PID), heuristic techniques (Fuzzy Logic), machine-learning-based approaches, as well as neural network architectures of varying complexity, including multilayer perceptrons (MLP), recurrent models (RNN, LSTM, GRU), and nonlinear autoregressive neural networks with exogenous inputs (NNARX). Special attention is given to the NNARX model as one of the most promising solutions for short-term forecasting of microclimate parameters in inertial industrial ventilation and thermal regulation systems. The article highlights the specific aspects of integrating forecasting models into CPS structures, where the combination of sensors, actuators, and the computational cyber layer forms an adaptive real-time control loop. A comparative analysis of the main neural network architectures is conducted based on accuracy, dynamic modeling capability, incorporation of external factors, and suitability for CPS implementation. The literature review reveals several research gaps, including an insufficient number of studies addressing complex microclimate interactions ( ), the lack of universal parametric models, limited availability of real industrial datasets, and the challenges of ensuring real-time operation of forecasting models. Promising future research directions are outlined, such as the development of microclimate digital twins, the adoption of Edge AI solutions, hybrid NNARX+FLC control strategies, and the adaptation of microclimate control systems to the principles of Industry 5.0.
Copyright (c) 2026 Vladyslav YEVSIEIEV, Ihor HOLOD
An approach to extending the functionality of artificial intelligence in the form of chatgpt using pinecone technology
The article addresses the problem of diversity of web interfaces, which affects the efficiency of business analysis, particularly in terms of time costs and the search for relevant information. The purpose of the study is to develop a theoretical and methodological framework for extending the functionality of artificial intelligence systems through the use of vector semantic database technology. The proposed approach is aimed at optimizing the processes of data search, structuring, and interpretation in business analysis, thereby increasing the productivity of business analysts and the quality of the results obtained. The object of the research is business analysis processes using artificial intelligence systems, while the subject is the methodological and software support for their application based on vector semantic database technology. The core idea is to create a set of methods and software solutions that ensure effective human–machine interaction and reduce time costs in performing analytical operations. In the course of the study, a critical review of the current state of the use of language models in business analytics was conducted, methods of human–machine interaction were improved, and an experimental prototype was developed to verify the effectiveness of the proposed solutions. The experimental results confirmed an increase in the efficiency of solving applied business analysis tasks using language models enhanced by semantic search and content matching technologies. The obtained results can be applied in related fields of digital analytics, big data processing, e-commerce, and information flow management on the Internet. This increases the universality and practical value of the proposed approach, making it a promising direction for further development of intelligent analytical systems, their integration with semantic databases, and the enhancement of their adaptability to the dynamic web environment.
Copyright (c) 2026 Олена Ігорівна Феоктистова, Ярослав Михайлович Альошин
Analysis of Architectural Methods for Integrating Nanosatellite Onboard Systems into Cloud Computing Environments
This paper presents a comprehensive analysis of architectural methods for optimizing computational resources of CubeSat standard nanosatellites within the transition to the NewSpace paradigm. The fundamental problem of imbalance between exponentially growing onboard computing requirements and severe hardware constraints of 1U-3U platform formats is examined, characterized by critical power deficit, high radiation vulnerability of components, and limited memory capacity. A detailed comparative efficiency analysis of leading real-time operating systems FreeRTOS and Zephyr OS was conducted based on context switching latency, energy efficiency, and reliability criteria, demonstrating FreeRTOS advantages for power-constrained missions due to minimal kernel overhead at 223 machine cycles. A mathematical model for the onboard computer's power consumption has been formalized, accounting for dynamic and static power components relative to the space thermal environment and the impact of radiation on leakage currents in semiconductor structures. The prospects of implementing a hybrid Edge-to-Cloud architecture are investigated, involving intelligent offloading of resource-intensive computational tasks to ground-based cloud environments via GSaaS (Ground Station as a Service), with detailed analysis of energy and communication feasibility criteria for offloading. The necessity of using software-hardware methods for ensuring radiation tolerance is substantiated, including EDAC memory scrubbing, and multi-level watchdog timer systems consuming up to 20% of processor resources. The feasibility of lightweight WebAssembly-based containerization technologies is demonstrated by recent experimental studies, confirming their applicability to software-defined satellite architectures with secure in-orbit updates and fault isolation.
Copyright (c) 2026 Олексій Борисович Лимаренко, Євгенія Віталіївна Соколова
Models and Methods for Ensuring Confidentiality in Corporate Systems of Software Firms Based on Blockchain Technology
This article examines the issues of ensuring data confidentiality in corporate information systems of software companies and substantiates the feasibility of using blockchain technology as a basis for building decentralized access control models. A review of classical approaches based on the Bell–LaPadula, Brewer–Nash, and Clark–Wilson models is conducted, and their limitations in multi-user environments with highly dynamic changes in rights and roles are demonstrated. A generalized architecture for ensuring confidentiality and decentralized access management in corporate information systems is proposed, integrating three key components: a permissioned blockchain for guaranteed auditing and record immutability, access tokenization for flexible and context-aware authorization management, and distributed cryptographic key storage (multi-signature and Shamir’s Secret Sharing) to minimize internal threats and abuse. It is shown that the use of smart contracts for formalizing and automatically enforcing access policies enables automated granting and revocation of rights as well as transparent real-time transaction logging. Practical areas of implementation are outlined, including electronic document management, financial operations, compliance and auditing, software copyright management, and identity and personal data protection in accordance with GDPR requirements. Technological and legal challenges, such as scalability and latency, energy consumption of certain consensus algorithms, conflicts with the “right to be forgotten,” and integration with ERP/CRM systems, are analyzed. The study concludes that integrating blockchain with modern cryptographic tools creates a comprehensive trust ecosystem that enhances data confidentiality and resilience of corporate systems to cyberattacks and provides a foundation for further research into hybrid models involving artificial intelligence and cloud computing.
Copyright (c) 2026 Олена Ігорівна Феоктистова, Артем Дмитрович Єрьоменко
Analysis of the Problem of Testing in Software Project Development under Outsourcing Conditions for Non-Core Clients
The article is devoted to the problem of improving the efficiency of the testing process in the development of software projects within an Agile environment of outsourcing IT companies. The relevance of the study is determined by the current conditions of the IT services market and the strict requirements for the competitiveness of outsourcing companies. The object of the research is quality assurance processes of software projects implemented in the Agile environment of outsourcing companies. At present, Agile methodology and flexible frameworks (Scrum, Kanban, Lean, etc.) constitute a natural environment for the development of outsourcing software projects, and issues related to organizing production processes for projects of various domains (startups, SaaS, financial technologies, telemedicine, logistics, etc.) are well studied and supported by mature tooling (Jira, Azure, and others). At the same time, practical experience and retrospective studies indicate the presence of systemic trigger factors that lead to a significant decline in team performance, which is generally interpreted as the existence of specific problems typical for projects with distributed teams and non-core customers. Therefore, ensuring the efficiency of development processes in this context remains an open issue. The subject of the study is the problems that arise during the testing process in outsourcing software projects and the methods for addressing them. The purpose of the study is, based on the analysis of practical experience, to identify and formulate specific testing problems in outsourcing projects developed for non-core customers that may cause a decrease in team efficiency, and, using established practices, to develop recommendations to eliminate or reduce the impact of these problems. To achieve this purpose, the study identified and systematized the main testing process issues, analyzed and classified the causes of their occurrence according to their significance, and proposed recommendations for their resolution. The results obtained indicate that, within a qualitative study based on the systematization of outsourcing company experience and analysis of typical scenarios, key problems faced by testing teams were identified, including insufficient tester involvement at early development stages, difficulties in communication and requirements elicitation, challenges in assessing feature readiness, test documentation maintenance, defect management, limited time and resources for testing, automation difficulties, regression testing scope, acceptance testing and reporting, shaping realistic customer expectations, knowledge transfer, and team motivation. The proposed recommendations include the active adoption of the Shift-Left approach and collaborative requirements definition, the establishment of transparent and structured stakeholder–developer communication, the development of flexible yet clear Definition of Done criteria and iterative acceptance testing processes, as well as the application of adaptive approaches to test documentation and automation. The recommendations also aim to improve defect management processes, test cycle planning efficiency, regression test automation, the development of an adaptive system of quality metrics and reporting, proactive management of customer expectations, and systematic knowledge sharing within teams.
Copyright (c) 2026 Ігор Володимирович Шостак, Олександр Вячеславович Череватенко
Research on the Evolution of Python Frameworks and Their Impact on the Development of Information Technology
This article analyzes the development of the Python framework ecosystem and evaluates its impact on various fields of information technology. The study explores the transition from early CGI protocols to modern asynchronous architectures based on ASGI, which ensure high performance in high-load systems. It identifies patterns regarding the influence of architectural decisions (monolithic and microservices) on the stability, scalability, and security of information systems. The focus is placed on categories of web frameworks (Django, Flask, FastAPI, etc.), machine learning and deep learning frameworks (TensorFlow, PyTorch), test automation tools (Selenium, Robot Framework), DevOps tools (Ansible, Fabric), and toolsets for API development and graphical user interfaces. The article details the key evolutionary stages of these frameworks, their application areas (software development, data science, cloud computing, automation, cybersecurity, system integration), and examples of their impact on the IT industry. According to Python community surveys for 2024–2025, the leading web frameworks are FastAPI (38%), Django (35%), and Flask (34%), while the top ML libraries are scikit-learn (68%), PyTorch (66%), and TensorFlow (49%). For instance, Django (created in 2003–2005) was designed for the rapid creation of complex, database-driven websites, whereas Flask (first released in 2010) became an immensely popular microframework used by companies like Pinterest and LinkedIn. TensorFlow (2015) and PyTorch (2016) facilitated the rapid expansion of artificial intelligence tools. In the field of automation, Selenium (since 2004) and Robot Framework (since 2005) became de facto standards for web and system interface testing, while DevOps tools such as Ansible (2012) and Fabric significantly simplified system configuration and software deployment. Furthermore, Python frameworks for scientific computing (Pandas, NumPy, SciPy) and ML tasks provided the core instruments for data science. Overall, the study examines current trends and practical examples of Python framework applications in IT, demonstrating their importance in accelerating development and implementing innovations.
Copyright (c) 2026 Тетяна Леонідівна Столяренко
Automated process equipment testing and protection options
The paper considers the problem of ensuring trouble-free operation of technological equipment operating in automatic mode, using the example of a pneumatic cylinder assembly line. It is shown that with the increasing complexity of automated systems, increasing speed and increasing the number of operations performed without the participation of the operator, the requirements for equipment reliability, accuracy of mutual positioning of elements and timely detection of emergency and pre-emergency states are significantly increasing. Particular attention is paid to operations of precision connection of critical structural elements, which are characterized by errors in the form of misalignment, skew of axes and inconsistency of spatial orientation of parts, which can lead to a decrease in the resource of mechanisms or equipment failure. An approach to organizing test and step-by-step modes of operation of an automatic control system is proposed, which allows for phased control of the execution of technological operations, identification of positioning errors and failures of actuators without the system going into emergency mode. The principles of constructing an asynchronous control machine using typical pneumatic cylinder control modules, as well as mechanisms for time synchronization of control and feedback signals, are considered. The structure of a typical control module is presented, which ensures coordination of external asynchronous signals with internal clock synchronization and implements control of the permissible time for performing technological operations. The proposed technical and algorithmic solutions increase the reliability of automatic assembly lines, ensure timely detection of failures, reduce the likelihood of emergency situations and create the prerequisites for the implementation of intelligent diagnostic and protection systems for modern technological equipment.
Copyright (c) 2026 Олександр Вадимович Бєлявський, Оксана Валеріївна Косенко
Research on Data Migration Features from Relational to Document-Oriented Model Using Studio 3T GUI Client
The article examines the features of data migration from the MySQL relational database to the MongoDB document-oriented database. The object of the study is the process of migrating a relational data model to a document-oriented one, taking into account the structural differences between SQL and NoSQL approaches. The subject of the study is the methods of representing relational relationships in MongoDB and the tools for their implementation. The purpose of the article is to analyze approaches to migrating tables and one-to-one and one-to-many relationships into the MongoDB document structure using the Studio 3T graphical client. The work uses the relational world schema as an example data source for migration into MongoDB document collections. Strategies of denormalization, reference preservation, and embedding related entities into documents, as well as the use of arrays of scalar values and arrays of nested objects, are analyzed. It is shown that the choice of data storage model in MongoDB depends on the nature of queries, the frequency of information updates, and system performance requirements. Practical data migration was performed using Studio 3T, and the capabilities of this tool for designing and testing document structure were evaluated. The obtained results confirm the feasibility of using document-oriented databases for systems requiring fast access to related data, and can be used in educational and applied tasks of NoSQL storage design.
Copyright (c) 2026 Ілона Володимирівна Шевченко, Оксана Вадимівна Лучшева, Павло Олександрович Лучшев
Development of a model for constructing the optimal trajectory of the gripping device of a collaborative robot-manipulator taking into account the influence of the cargo mass and energy consumption
In the current conditions of the development of Industry 5.0, collaborative robotic systems play a key role in increasing the efficiency of production processes, ensuring flexibility and safety of interaction with humans. One of the most critical elements of such systems is the gripping device of a collaborative robot-manipulator, which performs precise and energy-dependent actions in a complex dynamic environment. Given the constant change in the mass of the transported cargo and the limited energy resources, there is an urgent need to develop an optimal trajectory of movement that takes into account not only geometric constraints, but also the energy feasibility of the manipulator's movement. The relevance of the study is due to the need to reduce energy consumption when performing tasks of gripping and transporting objects in the presence of spatial obstacles, which is important for increasing the autonomy and productivity of robotic systems. The object of the study is the process of spatial movement of the gripping device of a collaborative robot-manipulator. The subject of the study is the optimization of the trajectory of movement taking into account dynamic constraints, variable cargo mass and energy consumption. The methods of mathematical modeling, numerical integration, energy analysis and spatial visualization of trajectories were used in the study. The basis for the formalization of the trajectory construction process is a system of motion dynamics equations, on which optimality conditions are imposed, taking into account energy consumption and avoidance of collisions with obstacles. The purpose of the study is to build a mathematical model and implement an algorithm for forming the optimal trajectory of the gripping device in 3D space, which allows minimizing energy consumption when transporting objects, taking into account their mass and existing obstacles. The results of the study include the construction of the optimal trajectory under given spatial constraints, substantiation of its effectiveness based on comparison with variable trajectories, as well as numerical confirmation of the reduction of energy consumption during the movement. The resulting model demonstrates the potential for implementation in collaborative robot control systems in real-time conditions. Based on the developed mathematical model, further research using the Pontryagin maximum principle in continuous time is recommended to develop analytical solutions and improve the control system for more complex trajectory planning problems under variable loads and complex obstacles.
Copyright (c) 2026 Vladyslav YEVSIEIEV, Dmytro GURIN
Hybrid Model of Adaptive Prioritization of Energy Resources in a Medical Facility under Critical Deficit Conditions
This paper addresses a scientific and applied problem of ensuring the energy resilience of critical medical infrastructure operating under conditions of extreme resource scarcity and instability of external power supply caused by deliberate destruction of the energy system. Unlike conventional Building Energy Management Systems (BEMS), which are primarily focused on economic efficiency in stable environments, the proposed approach shifts the focus toward maximizing the autonomous operation time of life-support equipment. The methodological foundation of the study is the development of a hybrid decentralized model for adaptive energy resource prioritization implemented within an Edge–Fog Computing architecture. This architectural design ensures full system autonomy: TinyML models deployed at the Edge level provide real-time anomaly detection, while strategic decision-making is performed by a Deep Reinforcement Learning (DRL) agent at the Fog node level, without reliance on cloud services. This eliminates a critical single point of failure and significantly enhances data privacy. The scientific novelty of the work lies in the introduction of an ethically oriented reward function for a Deep Q-Network (DQN) agent, which mathematically formalizes the prioritization of the bioethical principles of Beneficence and Non-Maleficence through the integration of risk categories defined by the NFPA 99 standard. The model employs a hard prioritization mechanism in which the unconditional supply of critical loads prevails over patient comfort and operational costs, while also accounting for physical system constraints, such as minimum battery charge levels, by incorporating elements of Constrained Reinforcement Learning. The proposed model was validated in the simulation environment HospitalEnergyEnv using the “Blackout-48” scenario. Comparative simulation results demonstrated that the proposed DQN agent maintained 100% operational availability of critical medical equipment throughout 48 hours of autonomous operation by proactively switching to a deep energy-saving mode. In contrast, traditional Greedy and Rule-Based algorithms depleted available resources at the 32nd and 41st hours, respectively, resulting in emergency power loss in the intensive care unit. The practical significance of the obtained results lies in the development of a deployment-ready architecture for autonomous hospital energy systems capable of adaptively allocating limited resources during prolonged blackouts while ensuring patient safety in accordance with international standards.
Copyright (c) 2026 Максим Олександрович Кушнарьов, Ігор Володимирович Шостак
Method for verifying adaptive software systems using process mining technology
The subject of the article is the methodological basis for the verification of adaptive software systems that change their behavior during execution depending on the current state of the user. The goal is to increase the efficiency of computer-aided training for operators of complex equipment, including aviation equipment, by developing a method for verifying adaptive software systems. Tasks that need to be solved: to conduct a critical analysis of approaches to the verification of adaptive software systems, to develop a method for verifying adaptive software systems that provides automated assessment of adaptation trajectories through specialized quality metrics, and to conduct an experimental study of the effectiveness of the developed method. During the study, a method for adaptive verification of dynamic software systems was developed based on intelligent process analysis for automated support of correct adaptive logic of critical systems during operation, with the possibility of continuous self-improvement without expert intervention. The results of the experimental verification confirmed the effectiveness of the developed method.
Copyright (c) 2026 Артур Іванович Малюга, Євгенія Віталіївна Соколова
Ontology-Driven Neurosymbolic Method for Building Personalized Mental Models of Intelligent System Decisions
The subject of the research is the construction of personalized mental models of intelligent system decisions based on the integration of neural network and symbolic approaches for adapting the complexity of explanations to the level of user expertise. The goal is to increase the comprehensibility of explanations and user trust in the recommendations of intelligent systems in critical domains, including aviation, by developing an ontology-driven neurosymbolic method for building personalized mental models. Tasks to be solved: to conduct a critical analysis of approaches to building explanations for intelligent system decisions, to develop an ontology-driven neurosymbolic method for building personalized mental models of intelligent system decisions. The following results were obtained. The practical advantage of the developed method lies in the ability to automatically adapt the complexity and level of detail of explanations to the user's mental model, and ensure alignment of generated explanations with the internal representations of users about the logic of system decision-making, without involving domain experts in the process of generating personalized explanations. Conclusions. During the study, an ontology-driven neurosymbolic method for building personalized mental models of intelligent system decisions was developed based on the integration of neural network classification of user expertise levels with ontological formalization of domain knowledge and causal inference rules for automated adaptation of explanation complexity to the cognitive capabilities of users. The scientific novelty of the obtained results lies in the development of an ontology-driven neurosymbolic method for building personalized mental models of intelligent system decisions, which combines neural network classification of user expertise levels based on analysis of behavioral interaction trajectories, automatic transformation of neural network representations into symbolic rules through decision tree induction, formalization of an ontological domain model with causal inference rules, and vertical composition of mental model layers to adapt explanation complexity according to the determined user expertise level. The method enables an increase in the relevance of explanations based on personalized mental models that reflect user representations about intelligent system decisions. The results of experimental verification on e-commerce system data have demonstrated the effectiveness of the developed method through an increase in explanation relevance.
Copyright (c) 2026 Сергій Федорович Чалий, Ірина Олександрівна Лещинська
Current Trends in the Application of Polymer 3D Printing in Aircraft Engineering and Methodological Approaches to Design Optimization
This article analyzes the latest trends in the application of polymer 3D printing technologies in aircraft engineering, with a particular focus on methodological approaches to design optimization. Polymer-based additive manufacturing methods, including FDM, SLS, SLA, and MJF, are considered as enabling technologies for the production of aircraft components with complex geometries, reduced structural mass, and enhanced functional integration. The increasing adoption of these technologies in aircraft structures, systems, and interior components is driven by the need to improve weight efficiency, shorten development cycles, and support flexible manufacturing across different stages of the product life cycle. Special attention is given to the role of design-stage optimization in ensuring the mechanical performance, durability, and operational reliability of polymer components manufactured using additive technologies. Key challenges inherent to polymer 3D printing are discussed, including anisotropy of mechanical properties, process-induced defects, sensitivity to printing parameters, and variability in material behavior. These factors significantly affect the repeatability and certification readiness of additively manufactured aircraft components. The article reviews contemporary optimization strategies applied in aircraft engineering, including design for additive manufacturing, statistical methods (such as Design of Experiments and Taguchi techniques), numerical modeling, and data-driven approaches based on AI. The integration of digital design, experimental validation, and intelligent optimization tools into a unified methodological framework is identified as a critical factor for improving the efficiency and reliability of polymer 3D-printed aircraft components. Based on the analysis of recent studies and industrial practices, existing gaps are identified and prospective directions for further research and development of polymer additive manufacturing in aircraft engineering are outlined. Further investigations should be carried out in the field of comprehensive exper-imental validation of optimized designs.
Copyright (c) 2026 Oleksandr DZHURYNSKYI, Sergey FILIPKOVSKIJ