Кафедра інженерії програмного забезпечення

Постійне посилання на фондhttps://repository.lntu.edu.ua/handle/123456789/77

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2019 - 201912020 - 20221

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  • 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,
    Imitation of CNS-Control of Human Lower Limb: Joints Simulation
    (2019-10) Bortnyk, Kateryna; Lavrenchuk, Svitlana; Lishchyna, Nataliia
    In this paper, the imitation of central nervous system control of human lower limb is done and the controller simulation for ankle joints is presented. The CNS control is applied to multi-joints coordination relating to the problem of human postural balance. This control strategy was developed with aid of state-space model of the lower extremity of human in order to reconstruct natural human motion and to stabilize the human posture. Based on real model experiments, which simulates the human motion process in real time, we present the methodology of actual target values obtaining which correspond to position of human upright standing.