Факультет комп’ютерних та інформаційних технологій

Постійне посилання на фондhttps://repository.lntu.edu.ua/handle/123456789/49

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2022 - 20264

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Ключові слова: search.filters.subject.web application

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Зараз показуємо 1 - 4 з 4
  • Ескіз
    Item type:Методичне забезпечення,
    ПРОЄКТУВАННЯ ВЕБ-МАГАЗИНУ КОМПЮТЕРНОЇ ПЕРИФЕРІЇ ТА ОБЛАДНАННЯ
    (Луцьк: ЛНТУ, 2026-05) Анісян, Рустам Арменович; Хиць, Руслан Андрійович
    У статті представлене розроблення веб-магазину комп’ютерних периферійних пристроїв та обладнання, призначеного для зручного перегляду, пошуку та вибору товарів в умовах електронної комерції. Архітектура веб-додатку поєднує сучасні інструменти розробки для створення зрозумілого інтерфейсу, адаптивного дизайну та ефективної взаємодії користувача з каталогом товарів. Реалізоване рішення забезпечує швидкий пошук товарів, фільтрацію за основними параметрами, перегляд детальної інформації про товари та роботу з кошиком. Запропонований підхід підвищує зручність онлайн-покупок і може стати основою для подальшого розвитку повноцінного інтернет-магазину.
  • Ескіз
    Item type:Наукова стаття,
    Latency Reduction in Real-time GPS tracking in Android and the Web-based GPS Monitoring System
    (IEEE, 2022-12-09) Tsindeliani, Davyd; Povstiana, Yuliia; Lishchyna, Nataliia; Yashchuk, Andrii
    The paper focuses on the research aimed to reduce latency in real-time GPS-tracking and implementation of a real-time web GPS-monitoring system based on Android devices that publicly provides access to users' locations. A real-time GPS monitoring system with low latency consists of three main components: a web front-end client, a server part, and an Android application. During the development process, the performance of WebSocket back-end frameworks was researched. The performance of Google Maps and Leaflet (OpenStreetMap) was compared to select the option which provides the best performance in the developed system. The conducted research and the chosen solutions for the implementation of the project made it possible to develop a system that shows high efficiency and performance. The developed software allows any user with an Android mobile device to share their location with others with minimal latency and show their location and traffic history. © 2022 IEEE.
  • Ескіз
    Item type:Наукова стаття,
    Effective Content Moderation Using Modern AI Tools
    (2024) Bortnyk, Kateryna; Bahniuk, Nataliia; Kondius, Inna; Melnyk, Kateryna; Melnychuk, Yuliia; Kondius, Kostiantyn
    In the paper we develop a web application that integrates AI capabilities for content moderation, while providing an effective and balanced user protection system based on general comparative analysis of two leading tools for content moderation: Microsoft Content Moderator and Google Perspective API. Moderation mechanisms using AI algorithms have been developed, allowing not only to filter unwanted content, but also to adapt to changing conditions and user needs. We present the comparison results of two language models of Google Perspective API and Microsoft Content Moderator and appropriate tools taking into account the specific helpful, honest, harmless criteriums that is aligned with human values and include emotional tonality supported by developers.
  • Ескіз
    Item type:Наукова стаття,
    Architectural And Engineering Aspects Of Integrating The Novita Ai Api Into A Web Application For Image Generation
    (Lutsk: LNTU, 2026-03-28) Povstiana, Yuliia; Lishchyna, Nataliia; Surynovych, Olena; Boiko, Lev
    This paper investigates architectural and software engineering approaches to integrating the Novita AI image generation service into a web-based application that supports scalable and asynchronous request processing. The proposed solution is based on a clear separation of responsibilities between frontend and backend components, where the backend handles validation, orchestration of long-running tasks, interaction with external APIs, and data persistence. Communication is implemented using REST for synchronous operations and WebSocket-based notifications for asynchronous updates, while resource-intensive tasks are executed through a queue-based mechanism to prevent interface blocking. Integration with the Novita AI service is encapsulated within a dedicated service layer, ensuring modularity, maintainability, and extensibility. An experimental evaluation was conducted to measure execution times of key operations, including image generation, transformation, upscaling, and custom model training. The results confirm the effectiveness of asynchronous processing and demonstrate that custom models improve output consistency at the cost of a minor increase in generation time. The novelty of this study lies in the architectural justification of asynchronous API integration for AI-based image generation with support for custom model training, validated through experimental performance evaluation.