http://hdl.handle.net/123456789/109 Sat, 25 Jul 2026 21:59:43 GMT 2026-07-25T21:59:43Z http://hdl.handle.net/123456789/25983 Title: Performance analysis of microservice architecture Authors: Berladyniuk, Yevhen; Kozlenko, Mykola Abstract: Microservices embody a paradigmatic shift toward modularity, scalability, and flexibility in software development. At the very core of microservice architecture lies the principle of decomposition, breaking down complex applications into a network of smaller, independent services. The main principles of microservice infrastructure are as follows: modularity, service independence, decentralized data management, automation of deployment processes and service lifecycle management, and the distributed nature of microservices. Overall, microservice architecture provides high scalability, flexibility, and reliability; however, it is accompanied by significant management complexity, increased infrastructure costs, and the need for a well-thoughtout approach to inter-service communication. Designing a microservice architecture involves the use of concepts and methodologies that ensure effective distribution of functionality among services and optimal interaction between them. The choice of architectural style is determined by the specifics of business logic, performance requirements, and operational characteristics. This report examines the key principles of microservice architecture, its advantages and disadvantages, as well as approaches to designing microservice-based systems. The application of microservice and monolitic architectures to energy efficiency monitoring systems, robotics, and remote learning systems is presented. Wed, 28 May 2025 00:00:00 GMT http://hdl.handle.net/123456789/25983 2025-05-28T00:00:00Z http://hdl.handle.net/123456789/25939 Title: Application of deep learning approaches for medieval historical documents transcription Authors: Voloshchuk, Maksym; Zarembovska, Bohdana; Kozlenko, Mykola Abstract: Handwritten text recognition and optical character recognition solutions show excellent results with processing data of modern era, but efficiency drops with Latin documents of medieval times. This paper presents a deep learning method to extract text information from handwritten Latin-language documents of the 9th to 11th centuries. The approach takes into account the properties inherent in medieval documents. The paper provides a brief introduction to the field of historical document transcription, a first-sight analysis of the raw data, and the related works and studies. The paper presents the steps of dataset development for further training of the models. The explanatory data analysis of the processed data is provided as well. The paper explains the pipeline of deep learning models to extract text information from the document images, from detecting objects to word recognition using classification models and embedding word images. The paper reports the following results: recall, precision, F1 score, intersection over union, confusion matrix, and mean string distance. The plots of the metrics are also included. The implementation is published on the GitHub repository. Tue, 16 Dec 2025 00:00:00 GMT http://hdl.handle.net/123456789/25939 2025-12-16T00:00:00Z http://hdl.handle.net/123456789/25924 Title: Demodulation of chaotic signals using convolutional neural network Authors: Kozlenko, Mykola; Demiral, Emrullah; Yudhana, Anton Abstract: Chaotic modulation is an effective communication technique that exploits deterministic chaos to produce pseudo-random signals. A widely adopted approach involves modulation of the chaotic bifurcation parameter. This paper introduces a deep learning-based demodulation method for keying of the bifurcation parameter. It describes the architecture of the convolutional neural network and evaluates performance metrics for signals generated using the chaotic logistic map. The study assesses the bit error rate for binary signals and reports a bit error rate of 0.0819 for a bifurcation parameter deviation of 1.34% under additive white Gaussian noise at a signal-to-noise ratio of -13 dB (corresponding to a normalized signal-to-noise ratio of +20 dB). The results demonstrate the capability to detect chaotic patterns even when the specific patterns were not included in the training dataset. Tue, 03 Mar 2026 00:00:00 GMT http://hdl.handle.net/123456789/25924 2026-03-03T00:00:00Z http://hdl.handle.net/123456789/25906 Title: Methods for evaluating software accessibility Authors: Kuz, Mykola; Yaremiy, Ivan; Yaremii, Hanna; Pikuliak, Mykola; Lazarovych, Ihor; Kozlenko, Mykola; Vekeryk, Denys Abstract: Context. The development and enhancement of methods for evaluating software accessibility is a relevant challenge in modern software engineering, as ensuring equal access to digital services is a key factor in improving their efficiency and inclusivity. The increasing digitalization of society necessitates the creation of software that complies with international accessibility standards such as ISO/IEC 25023 and WCAG. Adhering to these standards helps eliminate barriers to software use for individuals with diverse physical, sensory, and cognitive needs. Despite advancements in regulatory frameworks, existing accessibility evaluation methodologies are often generalized and fail to account for the specific needs of different user categories or the unique ways they interact with digital systems. This highlights the need for the development of new, more detailed methods for defining metrics that influence the quality of user interaction with software products.Objective. Building a classification and mathematical model and developing accessibility assessment methods for software based on it.Methods. A method for assessing the quality subcharacteristic “Accessibility”, which is part of the “Usability” quality characteristic, has been developed. This enabled the analysis of a website’s inclusivity for individuals with visual impairments, and the formulation of specific recommendations for further improvements, which is a crucial step toward creating an inclusive digital environment.Results. Comparing to standardized approaches, a more detailed and practically oriented accessibility assessment methodology has been proposed. Using this methodology, an analysis of the accessibility of the main pages of Vasyl Stefanyk Precarpathian National University’s website was conducted, and improvements were suggested to enhance its inclusivity.Conclusions. This study presents the development of a classification and mathematical model, along with an accessibility assessment methodology for websites based on the ISO 25023 standard, and an analysis of the main pages of the university’s web portal. The identified quantitative accessibility indicators enable an evaluation of the web resource’s compliance with modern inclusivity requirements and provide recommendations for its improvement.The scientific novelty of this research lies in the development of assessment methods for the “Accessibility” quality subcharacteristic by introducing new subproperties and attributes of software quality, based on clearly defined metrics specifically adapted for evaluating the accessibility level of digital products for individuals with visual impairments. This approach ensures a more precise and objective determination of web resources’ compliance with inclusivity requirements, contributing to their effectiveness and usability for this user group.The practical significance of the obtained results lies in their applicability for objectively evaluating the accessibility of softwareproducts and web resources. Mon, 22 Sep 2025 00:00:00 GMT http://hdl.handle.net/123456789/25906 2025-09-22T00:00:00Z