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Item type:Наукова стаття, Implementing Honeypots for Detecting Cyber Threats with AWS using the ELK(2024-10-01) Kosheliuk, Victor; Tulashvili, YuriiIt is substantiated that the educational software used in the educational process during the computer training of visually impaired people contributes to the formation of their correctional and compensatory devices for the use of computer technology. The peculiarities of the inclusive educational process of professional training of persons with visual impairments with the use of computer technology are pointed out. The architecture and features of creating educational software for the visually impaired are revealed. A mathematical model and algorithm for its implementation of educational software for support of inclusive educational process of professional training of persons with visual impairments have been developed. The developed training software presents the theoretical content of training in an adapted form. The developed practical tasks contain an exhaustive list for the formation of correctional and compensatory devices and the acquisition of skills and abilities to use computer technology for people with visual impairments.Item type:Наукова стаття, 3D Model Quality Assessment Algorithm for Additive Manufacturing(2024-10-27) Marchuk, Viktor; Tulashvili, Yurii; Lukianchuk, IuriiIn modern production, problems arise when modeling 3D objects using the FDM method. Among the common mistakes are insufficient attention to the geometry of the object, insufficient calculation of the thickness of the walls and details. An algorithm for analyzing the manufacturability of parts before the start of production can help avoid many problems. Determining the optimal print direction, support placement, and heat distribution are key steps that help ensure the highest manufacturing quality. It is also important to emphasize the use of mathematical calculations during design. Calculating the amount of material required, optimizing geometry to minimize weight and maximize strength are just a few examples of how math can facilitate the process. Careful advance planning and the use of advanced analytical methods can significantly improve product quality and reduce production errors. Recommendations provided at various stages of design and production create an opportunity for engineers to avoid common problems and ensure the successful implementation of projects in the field of additive manufacturing.Item type:Наукова стаття, Program Implementation of Educational Electronic Resource for Inclusive Education of People with Visual Impairment(2023) Tulashvili, Yurii; Lukianchuk, Iurii; Lishchyna, Valerii; Lishchyna, NataliiaIt is substantiated that the educational software used in the educational process during the computer training of visually impaired people contributes to the formation of their correctional and compensatory devices for the use of computer technology. The peculiarities of the inclusive educational process of professional training of persons with visual impairments with the use of computer technology are pointed out. The architecture and features of creating educational software for the visually impaired are revealed. A mathematical model and algorithm for its implementation of educational software for support of inclusive educational process of professional training of persons with visual impairments have been developed. The developed training software presents the theoretical content of training in an adapted form. The developed practical tasks contain an exhaustive list for the formation of correctional and compensatory devices and the acquisition of skills and abilities to use computer technology for people with visual impairments.Item type:Наукова стаття, Mobile Robot Motion Stability and Optimal Chassi Construction(2021-09-15) Lishchyna, Nataliia; Lishchyna, Valerii; Gumenyuk, PavloThe paper presents the results of dynamical modeling, simulation and stability analysis of mobile robot, which makes it possible to explain some dynamic effects that lead to instability of the straight-line robot's movement and skidding at bends at high speeds. This model is used to analyze the stable motion of wheeled robot in accordance to mutual placement of the wheels and the center of mass during its movement along the straight line. The appropriate recommendations are given on the optimal chassis design to avoid the phenomenon of instability motion.Item type:Наукова стаття, DIY Smart Auxiliary Power Supply for Emergency Use(Springer Nature Switzerland, 2023) Zdolbitska, Nina; Delyavskyy, Mykhaylo; Lishchyna, Nataliia; Lishchyna, Valerii; Lavrenchuk, Svitlana; Sulim, ViktoriiaImplementation of Internet of Things technologies in various fields is one of the priority areas of modern development. Energy efficiency is one of the urgent problems in Ukraine today. As part of this study, the use of IoT will help monitor and control energy consumption data. Auxiliary power supplies are devices that provide supplemental power to an existing power source. They are often used in automotive, electrical, and industrial applications. DIY auxiliary power supplies are those that are built by the user instead of purchasing a ready-made product. Building your own power supply can be a cost-effective option, as well as an enjoyable DIY project. The purpose of the research is to develop a device based on the existing electrical engineering components, which allows you to completely or partially replace the functionality of industrial analogs of power supplies.Item type:Наукова стаття, Methods of Presenting the Structure of the Syllabus of a Training Discipline in a Game Form(Dnipro, 2025) Kozubtsov, Igor; Lishchyna, ValeriiOne of the modern requirements of higher education is to ensure that students have the right to freely choose educational components from the list of variable academic disciplines. This is in theory. In practice, it is difficult for students to find logical, not to mention interdisciplinary, connections with the needs of other educational components offered by the department as variable components of the educational component. This is one part of the overall problem. In the future, it is difficult for a teacher in the traditional form of a silobus of an academic discipline to explain to such students the rules of learning, to convey its logical content of structure. The author's research article is aimed at solving these interrelated partial tasks of the general problem. To achieve the purpose of the study, the following tasks were solved: the current state of research and publications in this area was analyzed; theoretical and practical basis for developing a game-based outline was developed. The main part of the study considers the purpose of the syllabus (silhouette) in the traditional form of presentation, and the peculiarities of its writing. An experimental express survey of students' opinions on the sufficient level of information to explain the need to choose this discipline and to evaluate the discipline was conducted. The result confirmed the hypothesis about the need to further improve the structure and content of the curriculum syllabus. At the same time, the students noted a significant improvement in the silhouette sample presented by the lecturer in a game form to improve mental perception. The assumption was experimentally confirmed and students demonstrated an increased interest in the discipline. Thus, the proposed approach to the formation of silhouettes can be announced as a teaching method. The article describes in detail the approach to solving the scientific and applied problem of increasing students’ interest in choosing an academic discipline through understanding the structure, logic and necessity of studying academic disciplines. This is achieved by presenting students with an algorithm for reporting stages in a non-standard game form. The scientific result expands the scientific boundaries of pedagogical sciences in the field of teaching methods for higher education students through the use of simulation as a game-based pedagogical technology. Game-based pedagogical technologies have significant potential in teaching modern students. The proposed solution is fully ready for use by the teacher in practice, but leaves it up to each teacher to adapt the algorithm to a specific discipline. The theoretical results obtained in the course of the research form the basis for its further study and improvement as a teaching methodology. It is expected that the study will have academic and practical value beyond the higher education institutions surveyed.Item type:Наукова стаття, Approach To Risk Management Based On The Assessment Of The Cost Of Quality Of Implementation Of Cybersecurity Measures Of The Organization(Helsinki, 2024-04-24) Kozubtsov, Igor; Lishchyna, Valerii; Yashchuk, AndriiBackground: Intelligent conference rooms are crucial to 21st-century enterprises for events. Safety, resource optimization, and event management depend on accurate counting in such contexts. Manual headcounts are effective yet inefficient and error-prone, particularly for big crowds, requiring automatic people counters. Objective: This article introduces and validates a data-driven algorithm to count and track people in an intelligent conference hall. The concept uses IoT infrastructure, low-resolution cameras, and powerful image-processing algorithms to improve security, resource usage, and real-time management choices. Methods: The message-oriented IoT algorithm incorporates motion detection, background subtraction, people counting, and tracking modules. Blob analysis, edge detection, and low-maintenance, low-resolution cameras are used to capture real-world data. Based on real-time data, a decision-making module controls the conference hall's atmosphere. Results: With a 96.5% accuracy rate and 95% confidence interval in real-time individual counts, the algorithm operates with exceptional dependability. Using real-world data and experimental findings, the algorithm has been extensively tested and shown to work in diverse head counting situations. Conclusion: Intelligent conference hall management using the suggested algorithm might revolutionize venue management. The algorithm's accurate, real-time headcounts improve security, resource utilization, and management decisions, making it a promising candidate for intelligent conference hall management and optimization for diverse events and gatherings.Item type:Наукова стаття, Classification of Landsat 8 Images Using Convolutional Neural Network Based on Minimum Noise Fraction Transform(Helsinki, 2024-04-24) Lishchyna, ValeriiThe use of remote sensing methods has transformed environmental management and regional planning by allowing the identification of items or phenomena on the Earth's surface. However, noise in picture data remains a chronic difficulty in this discipline, compromising spatial resolution and object detection accuracy. The purpose of this study is to improve the classification accuracy of Landsat 8 pictures by developing a Convolutional Neural Network (CNN) based on the Minimum Noise Fraction (MNF) transform. The goal is to evaluate MNF's efficacy in compressing and organizing multispectral images, hence reducing the influence of noise on picture categorization. The MNF transform is used to Landsat 8 image data to remove noisy bands before adopting CNN as a supervised classification approach. The current study takes use of CNN's inherent benefits in dealing with high-dimensional data, learning complicated representations, and automatically extracting key features from pictures, while simultaneously evaluating MNF's efficiency in increasing image quality. The findings show that using MNF as a preprocessing step produces images with improved quality and organization. Subsequent classification using CNN obtained an astounding accuracy of 97.41%, with a great representation of the study region and varied land use categories, highlighting the synergy between MNF and CNN in improving classification performance. The article suggests that combining MNF transform with CNN enhances classification accuracy of Landsat 8 pictures, with positive implications for developments in environmental monitoring, land use mapping, and remote sensing technologies.