National Repository of Grey Literature 15 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
Angle of arrival calculation methods for localization using UWB technology
Žaludek, Ivo ; Klusáček, Stanislav (referee) ; Havránek, Zdeněk (advisor)
The thesis describes UWB technology, compares available hardware platforms and describes UWB localization methods. The practical part compares the methods of calculating the angle of arrival from the phase difference of signal arrival on the two-element antenna array. The calculation is performed using the analytically obtained arc sine function and also using the look-up table and the polynomial function. The content of the look-up table and the coefficients of the polynomial function are based on the measured characteristics of the UWB receiver (anchor). The best result was obtained using the look-up table. More accurate results were obtained when the phase difference of arrival values were averaged.
Comparison of methods for indoor localization
Povolný, Ondřej ; Rozum, Stanislav (referee) ; Frýza, Tomáš (advisor)
The bachelor thesis is in theoretical part focused on the ideas of the localization of people or objects, using the IoT technologies, namely ZigBee and Lora™. The possible methods of localization are mentioned, with the mention of parameters of the used technologies and the overview of existing modules that are obtainable on the market. The result of a practical part is design of PCBs, the basic testing of hardware and software and the analysis of the obtained data.
Room Occupancy Detection with IoT Sensors
Kolarčík, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine  which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.  
Range measurement in wireless networks
Zikmund, Lukáš ; Šimek, Milan (referee) ; Morávek, Patrik (advisor)
This bachelor thesis is focused on possibilities of distance measurement in wireless sensor networks. It describes various methods, compares their advantages and disadvantages and their potential applications in the real world. A part of this work presents a real measurement using product solution Cricket and IRIS. It compares their advantages and disadvantages and applicability in the real environment.
Comparison of methods for indoor localization
Povolný, Ondřej ; Rozum, Stanislav (referee) ; Frýza, Tomáš (advisor)
The bachelor thesis is in theoretical part focused on the ideas of the localization of people or objects, using the IoT technologies, namely ZigBee and Lora™. The possible methods of localization are mentioned, with the mention of parameters of the used technologies and the overview of existing modules that are obtainable on the market. The result of a practical part is design of PCBs, the basic testing of hardware and software and the analysis of the obtained data.
Drone localization and navigation in a familiar environment without GNSS
Pintér, Marco ; Janoušek, Jiří (referee) ; Raichl, Petr (advisor)
This thesis is aimed at development of the localization system without using GNSS. The first part describes technologies, enable determination of position in the area. Methods for determining distance between transmitter and receiver are also described. In the next part of the thesis describes ROS communication form with flight controller PixHawk. On the basis of the acquired knowledge is described choosage of preferred technology and method of determination of the distance between transmitter and receiver.
Compression of Device Location Data
Morong, Lukáš ; Mrázek, Vojtěch (referee) ; Vašíček, Zdeněk (advisor)
The goal of this work is to analyze the properties of the data used to locate IoT devices using AoA/AoD based on BLE (Bluetooth low energy) technology. The work aims to identify suitable algorithms for lossless compression, while taking into account the computing and memory resources of the target microcontroller architecture. This involves methods such as VLQ, Rice-Golomb coding or predictive coding. Then implement the selected algorithms in the C language for a platform with an ARM processor and evaluate their parameters in terms of both computational and memory complexity as well as the level of compression.
Angle of arrival calculation methods for localization using UWB technology
Žaludek, Ivo ; Klusáček, Stanislav (referee) ; Havránek, Zdeněk (advisor)
The thesis describes UWB technology, compares available hardware platforms and describes UWB localization methods. The practical part compares the methods of calculating the angle of arrival from the phase difference of signal arrival on the two-element antenna array. The calculation is performed using the analytically obtained arc sine function and also using the look-up table and the polynomial function. The content of the look-up table and the coefficients of the polynomial function are based on the measured characteristics of the UWB receiver (anchor). The best result was obtained using the look-up table. More accurate results were obtained when the phase difference of arrival values were averaged.
Drone localization and navigation in a familiar environment without GNSS
Pintér, Marco ; Janoušek, Jiří (referee) ; Raichl, Petr (advisor)
This thesis is aimed at development of the localization system without using GNSS. The first part describes technologies, enable determination of position in the area. Methods for determining distance between transmitter and receiver are also described. In the next part of the thesis describes ROS communication form with flight controller PixHawk. On the basis of the acquired knowledge is described choosage of preferred technology and method of determination of the distance between transmitter and receiver.
Room Occupancy Detection with IoT Sensors
Kolarčík, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine  which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.  

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