Факультет комп’ютерних та інформаційних технологій
Постійне посилання на фондhttps://repository.lntu.edu.ua/handle/123456789/49
Переглянути
8 результатів
Результати пошуку
Item type:Наукова стаття, Regional Development and Communication Networks: Case Study of Western Ukraine(2024-10-30) Puhach, Serhii; Kaidyk, OlehCommunication is the basis of existence of modern civilization. Nowadays, communication is part of the most intensive innovation processes. The level of formation of communication networks largely determines both the preconditions and the current development of regions. Aim: The aim of the study was to analyze the interdependencies between the level of socio-economic development of the examined areas and the formation of communication networks on the example of local territorial units of Western Ukraine. The correlation analysis revealed significant links between communication networks and regional development. It is not always possible to determine the exact cause and effect in a specific case. The results of this study indicate that the socio-economic development of Western Ukraine has a more significant impact on the functioning of communication networks than the communication networks have on the socio-economic development. Like other natural and socio-economic resources, the presence of communication networks is a prerequisite for the development of the region. The emergence, perception and widespread use of new communications depend on several factors, one of which is the socio-economic development of a given area.Item type:Наукова стаття, Performance Comparison of Low-Density Parity-Check (LDPC) Codes for Reliable Communication in Noisy Channels(Tampere: IEEE, 2024-04-24) Yashchuk, AndriiBackground: With significant improvements in communication systems, especially in the context of emerging smart cities, data dependability over noisy channels has become critical. Low-Density Parity-Check (LDPC) codes have gained popularity because to their large error correcting capabilities, which have even approached the Shannon limit, making them indispensable in current communication systems.Objective: The purpose of this article is to conduct a thorough examination of the performance of LDPC codes, with a focus on their effectiveness in noisy communication situations. Understanding the capabilities of LDPC in error correction, decoding complexity, and throughput efficiency across various setups and circumstances is the goal.Methods: A variety of LDPC code configurations, including specialized configurations such as turbo-coded LDPC and finite geometry-based LDPC codes, were investigated. Their performance was evaluated using simulations under various signal-to-noise ratio (SNR) settings, offering a realistic perspective on how they will behave in real-world communication scenarios.Results: Preliminary data indicate that LDPC code configurations vary in performance. The current study focuses on the trade-offs of various arrangements, stressing their unique strengths and disadvantages. This comparison analysis gives a road map for choosing the best LDPC code for certain communication applications, which is especially important for urban areas on their digital transformation path.Conclusion: In the smart cities, LDPC codes offer tremendous potential to improve the reliability and efficiency of communication networks. Understanding their intricacies, strengths, and trade-offs may help influence communication strategy choices, resulting in more connected, efficient, and sustainable urban ecosystems. © 2024 FRUCT.Item type:Наукова стаття, Development of a system for predicting failures of bagging machines(2025-12-20) Huliieva, Nataliia; Lishchyna, NataliiaThe reliability and effective operation of machines is a pressing problem for every enterprise, which requires labour intensive systematizationof production processes. The goal is to develop an algorithm and a system for predicting failures of packaging machines based on the analysisof operational indicators. The scientific novelty lies in the integration of statistical data to assess the efficiency of machine operation and predict possible failures, which allows significantly improving maintenance processes and reducing the risks of unforeseen breakdowns. The practical valueis the development of a forecasting system that collects the necessary statistical data and performs forecasting. Based on the collected data, an assessment of the efficiency of work and forecasting of possible failures is carried out. The forecasting system is demonstrated on the example of packaging machines LEMO INTERmat ST-SA 850 of "Tatrafan" LLC. Two research methods were used: calculation (mathematical) and forecasting system (least squares method). The forecasting system provides two ways of presenting data: tabular and graphical. Tabular presentation of data allows filtering information according to various criteria, while graphical display is implemented in the form of diagrams showing the operating time and downtime of machines.The main results are the determined range of probable failure of LEMO INTERmat ST-SA 850 packaging machines, which lies in the range from 9090.5to 12736.5 hours of operation and almost coincides with the manufacturer's warranty period. With timely maintenance, it is possible to increase the lower limit of this interval.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, 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.