Sökning: "indoor positioning system"

Visar resultat 1 - 5 av 122 uppsatser innehållade orden indoor positioning system.

  1. 1. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Adam Woods; [2024]
    Nyckelord :Particle swarm optimization; indoor positioning system; machine learning; Wi-Fi; RSSI; RTT; artificial neural network; ADAM optimizer; Keras; TensorFlow;

    Sammanfattning : Traditional methods for locating books and resources in libraries often entail browsing catalogsor manual searching that are time-consuming and inefficient. This thesis investigates thepotential of automated digital services to streamline this process, by utilizing Wi-Fi signal datafor precise indoor localization. LÄS MER

  3. 2. Ranging Error Correction in a Narrowband, Sub-GHz, RF Localization System

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Silvia Barrett; [2023]
    Nyckelord :Localization; Narrowband; Sub-GHz; Radio Frequency; RSSI; Time-of-Flight; Error mitigation; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression; Loalisering; Narrowband; Sub-GHz; Radiofrekvens; RSSI; Time-of-Flight; Felkorrigering; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression;

    Sammanfattning : Being able to keep track of ones assets is a very useful thing, from avoiding losing ones keys or phone to being able to find the needed equipment in a busy hospital or on a construction site. The area of localization is actively evolving to find the best ways to accurately track objects and devices in an energy efficient manner, at any range, and in any type of environment. LÄS MER

  4. 3. Evaluation of Geopositioning Using Frequency Responses From Radio Propagation Measurements

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jessica Ye; Johan Lesko; [2023]
    Nyckelord :;

    Sammanfattning : Satellite reliant navigation systems may struggle in urban environments as tall buildings mayobstruct necessary direct lines of sight with satellites. There have been multiple studiesexamining how WIFI fingerprinting may be used for indoor positioning. LÄS MER

  5. 4. Machine Learning-based MIMO Indoor Positioning

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Qiyi Chen; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER

  7. 5. Development of AI/ML Methods for Advanced Device Localization in Beyond 5G Systems

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Eros Iván Costa Andrés; Jon Aizkorreta Carro; [2023]
    Nyckelord :Artificial Intelligence; localization; IIoT devices; Python; radio signals; 5G; 3GPP; Technology and Engineering;

    Sammanfattning : This master thesis aims to investigate the positioning accuracy improvements of device localization by the implementation of AI/ML functionalities. In this project, we use the fifth-generation(5G) New Radio (NR) system and focus on indoor factories. LÄS MER