|
|
Material position tracking in production hall
Sládeček, Michal ; Otáhal, Alexandr (referee) ; Hejátková, Edita (advisor)
This diploma thesis describes implementation of an indoor positioning system for tracking the location and movement of material and products through the manufacturing plant. The system is designed with regards to simple installation and low overall implementation costs. It utilizes method of Wi-Fi and magnetic field fingerprinting. The system employs a client hardware (active tag with Wi-Fi module and sensors designed for this project) communicating with a server software which does the mapping and fingerprinting processing. Finall positioning system is prepared to collect locations data for further analysis aiming to improve efficiency of manufacturing processes.
|
|
|
Device localization using BLE packets
Tsevelnyam, Amgalanbayar ; Číž, Radim (referee) ; Sysel, Petr (advisor)
Master’s thesis is about indoor localization of objects or persons using Bluetooth Low Energy. The outcome of this work is determining the accuracy of a localization method One Nearest Zone on density of the localization network, implementing the Trilateration method and also determining the accuracy of this localization method on density of the localization network.
|
|
|
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.
|
|
|
LoRa-based indoor localization
Šimka, Marek ; Staněk, Miroslav (referee) ; Polák, Ladislav (advisor)
This diploma thesis focuses on possible utilization of LoRa (Long Range) technology for indoor localization purposes. In this thesis, the starter kit SK-iM282A is used to create a LoRa-based wireless link in the 2.4 GHz ISM band. Main attention is focused on the experimental localization using the RSSI method in the various transmission environments, including a description of the localization principle, the procedure of processing the measured data and the evaluation of localized coordinates. The rightness of the proposed measurement setup and methodology is verified by extensive measurements in various environments and compared with state-of-the-art article.
|
|
|
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.
|
|
|
LoRa-based indoor localization
Šimka, Marek ; Staněk, Miroslav (referee) ; Polák, Ladislav (advisor)
This diploma thesis focuses on possible utilization of LoRa (Long Range) technology for indoor localization purposes. In this thesis, the starter kit SK-iM282A is used to create a LoRa-based wireless link in the 2.4 GHz ISM band. Main attention is focused on the experimental localization using the RSSI method in the various transmission environments, including a description of the localization principle, the procedure of processing the measured data and the evaluation of localized coordinates. The rightness of the proposed measurement setup and methodology is verified by extensive measurements in various environments and compared with state-of-the-art article.
|
|
|
Material position tracking in production hall
Sládeček, Michal ; Otáhal, Alexandr (referee) ; Hejátková, Edita (advisor)
This diploma thesis describes implementation of an indoor positioning system for tracking the location and movement of material and products through the manufacturing plant. The system is designed with regards to simple installation and low overall implementation costs. It utilizes method of Wi-Fi and magnetic field fingerprinting. The system employs a client hardware (active tag with Wi-Fi module and sensors designed for this project) communicating with a server software which does the mapping and fingerprinting processing. Finall positioning system is prepared to collect locations data for further analysis aiming to improve efficiency of manufacturing processes.
|
|
|
Device localization using BLE packets
Tsevelnyam, Amgalanbayar ; Číž, Radim (referee) ; Sysel, Petr (advisor)
Master’s thesis is about indoor localization of objects or persons using Bluetooth Low Energy. The outcome of this work is determining the accuracy of a localization method One Nearest Zone on density of the localization network, implementing the Trilateration method and also determining the accuracy of this localization method on density of the localization network.
|
|
|
Indoor positioning systems, implementation and realization
Strnad, Pavel ; Bruckner, Tomáš (advisor) ; Pavlíček, Luboš (referee)
Bachelor thesis deals with the topic of localization inside buildings. The first part deals with the technologies and systems used for localization, while explaining the basic princi-ples and problems of implementation of these systems, their benefits and disadvantages. This section explains the functionality of each technology and the purpose for which it is best suited. The next part deals with the actual implementation of the localization system Redpin within the campus of the University of Economics in Prague. This section summarizes basic information about the project Redpin, then there is dismantled architecture of the system and its functionality. The remaining part is devoted to the direct implementation of this system. There are specified used technologies, decommissioned installation process and eventually re-evaluated results of its testing.
|
guest ::
