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Localization of People in the Building
Randýsek, Vojtěch ; Orság, Filip (referee) ; Sakin, Martin (advisor)
The aim of this thesis is to create a personal indoor positioning system. In this work, new systembasedonaBluetoothtechnologyisproposed.Personlocalizationisaccomplishedby usingthefingerprintingmethod.Proposedsystemconsistsofadatabase,awebapplication, a hardware layer and communication services. For the purpose of demonstration of the proposed system a video was made. System in the video, using propsed methods, gained standard accuracy of 2.46 m and standard deviation of 2 m. These results show that the combination of used technology leads to a succesful localization of people in buildings.
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Using Machine Learning for Improvement of Location Estimation in Wireless Positioning System
Matuš, Adam ; Mrázek, Vojtěch (referee) ; Šimek, Václav (advisor)
This thesis describes the Sewio platform and the communication techniques of the ultra-wideband technology standard, which the platform uses to determine the position of objects. The technology is based on measuring signal arrival time intervals and multilateration using time differences. The platform generates and stores historical data from past positioning of objects. The dataset consists of sequences of position data which, in addition to the monitored environment, contain relevant signal parameters of wireless communication. A system of machine learning techniques based on Gaussian models and linear regression was implemented to classify and predict real-time position data with the goal of improving position estimation stability and robustness. The system functions as a downstream component, which accepts RTLS position data and outputs improved position estimates. The evaluation results show that the implemented system can successfully improve position stability and robustness.
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Exploiting Wireless Communications for Localization: Beyond Fingerprinting
Bravenec, Tomáš ; Sanchez, Maria Cristina Rodriguez (referee) ; Crivello, Antonino (referee) ; Moreira, Adriano (referee) ; Orti, Enrique Quintana (referee) ; Oliver, Sergi Trilles (referee) ; Frýza, Tomáš (advisor)
The field of Location-based Services (LBS) has experienced significant growth over the past decade, driven by increasing interest in fitness tracking, robotics, and eHealth. This dissertation focuses on evaluating privacy measures in Indoor Positioning Systems (IPS), particularly in the context of ubiquitous Wi-Fi networks. It addresses non-cooperative user tracking through the exploitation of unencrypted Wi-Fi management frames, which contain enough information for device fingerprinting despite MAC address randomization. The research also explores an algorithm to estimate room occupancy based on passive Wi-Fi frame sniffing and Received Signal Strength Indicator (RSSI) measurements. Such room occupancy detection has implications for energy regulations in smart buildings. Furthermore, the thesis investigates methods to reduce computational requirements of machine learning and positioning algorithms through optimizing neural networks and employing interpolation techniques for IPS based on RSSI fingerprinting. The work contributes datasets, analysis scripts, and firmware to improve reproducibility and supports advancements in the LBS field.
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Platform for Interactive Exhibitions Based on Current Position
Čonka, Filip ; Kreslíková, Jitka (referee) ; Bartík, Vladimír (advisor)
This thesis focuses on the development of interactive exhibitions web application based on the current indoor position. The application is independent of a specific backend implementation and uses modern web development technologies. This thesis deals with deployment using cloud computing technologies. I implemented the application with the use of the frontend JavaScript framework Vue.js. As a data source, there is a PHP backend with the REST API based on the Laravel framework and the October CMS. I use the RTLS technology of the company Sewio. The application runs within Docker containers. I created a platform which brings interaction with the consumer and provides additional useful information about the presented exhibits. Galleries and museums can use enhance the attractivity of their exhibitions based on this application.
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Using Machine Learning for Improvement of Location Estimation in Wireless Positioning System
Matuš, Adam ; Mrázek, Vojtěch (referee) ; Šimek, Václav (advisor)
This thesis describes the Sewio platform and the communication techniques of the ultra-wideband technology standard, which the platform uses to determine the position of objects. The technology is based on measuring signal arrival time intervals and multilateration using time differences. The platform generates and stores historical data from past positioning of objects. The dataset consists of sequences of position data which, in addition to the monitored environment, contain relevant signal parameters of wireless communication. A system of machine learning techniques based on Gaussian models and linear regression was implemented to classify and predict real-time position data with the goal of improving position estimation stability and robustness. The system functions as a downstream component, which accepts RTLS position data and outputs improved position estimates. The evaluation results show that the implemented system can successfully improve position stability and robustness.
|
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Platform for Interactive Exhibitions Based on Current Position
Čonka, Filip ; Kreslíková, Jitka (referee) ; Bartík, Vladimír (advisor)
This thesis focuses on the development of interactive exhibitions web application based on the current indoor position. The application is independent of a specific backend implementation and uses modern web development technologies. This thesis deals with deployment using cloud computing technologies. I implemented the application with the use of the frontend JavaScript framework Vue.js. As a data source, there is a PHP backend with the REST API based on the Laravel framework and the October CMS. I use the RTLS technology of the company Sewio. The application runs within Docker containers. I created a platform which brings interaction with the consumer and provides additional useful information about the presented exhibits. Galleries and museums can use enhance the attractivity of their exhibitions based on this application.
|
|
|
Localization of People in the Building
Randýsek, Vojtěch ; Orság, Filip (referee) ; Sakin, Martin (advisor)
The aim of this thesis is to create a personal indoor positioning system. In this work, new systembasedonaBluetoothtechnologyisproposed.Personlocalizationisaccomplishedby usingthefingerprintingmethod.Proposedsystemconsistsofadatabase,awebapplication, a hardware layer and communication services. For the purpose of demonstration of the proposed system a video was made. System in the video, using propsed methods, gained standard accuracy of 2.46 m and standard deviation of 2 m. These results show that the combination of used technology leads to a succesful localization of people in buildings.
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