Кафедра комп'ютерної інженерії та безпеки
Постійне посилання на фондhttps://repository.lntu.edu.ua/handle/123456789/76
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Item type:Наукова стаття, Мультирівнева організація рендерингу у моделюванні інтерактивних карт(Lutsk : LNTU, 2025-09-19) Христинець, А.О.; Суринович, Олена Миколаївна; Муляр, В.П.; Христинець, Наталія АнатоліївнаThe paper considers the problem of optimizing the level of detail LOD in interactive 3D maps used for real-time visualization of spatial data. A mathematical sigmoid logistic model is proposed that takes into account key parameters: distance to the object, camera viewing angle, current CPU/GPU load, and device resource capacity. It is shown that the use of the logistic function allows adaptively and smoothly adjusting the level of detail, ensuring the optimal balance between image quality and rendering performance. Formulas describing the dependence of LOD on input parameters are theoretically substantiated, and a method for discretizing levels of detail is also proposed. An analysis of the influence of individual factors on the value of the parameter φφ, which determines the degree of detail, is carried out. The correctness of the model is experimentally confirmed using the example of a complex polygon mesh with over 400 thousand edges. The results obtained demonstrate that the model allows to significantly reduce the load on the graphics system without losing important visual details on the map. The proposed approach is universal and can be applied for adaptive rendering in various geographic information systems. The work opens up prospects for further development of models taking into account additional parameters and integration with modern optimization algorithms.Item type:Наукова стаття, Multiprocessing as a Way to Optimize Queries(IOS Press, 2024-02-13) Христинець, Наталія Анатоліївна; Мельник, Катерина Вікторівна; Лавренчук, Світлана Василівна; Міскевич, Оксана Іванівна; Костючко, Сергій МиколайовичDeveloping an effective web application involves the use of various methods and techniques to ensure fast and efficient processing of requests. Sometimes it is not possible to solve the problem of multiprocessing with a single tool, such as a programming language or framework. This work investigates the use of asynchronous methods of processing requests using queues. Job operation in background and non-background modes relative to the main web process is studied. Analytics are provided to analyze a web application with 13,000 requests to process daily. It is proposed to optimize the processing by using the Laravel framework and the Python server dual-tasking using the Supervisor tool on Linux, as well as using a task scheduler for each task. The paper presents positive findings about this algorithm, which contributes to the efficiency of web development and provides a great user experience on the website. Fast processing of web application requests can be a valuable competitive advantage for a business or organization. Research in this field helps to maintain their high competitiveness. In addition, the study of query processing speed is important in scientific research, as it contributes to the development of new algorithms, optimization methods and technologies.