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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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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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RFID technology in the economic sectors
Kuchařová, Hana ; Chocholatý, Drahomír (advisor) ; Unucka, Jakub (referee)
This thesis is focused on explanation of RFID technology. The first part analyses its historical development, describes the basic elements needed for its operation and standards enabling its spread into the supplier-customer chains. Furthermore are summarized its common applications such as systems for real-time location, traceability and identification of persons. Finally is summarized its usage in particular economic sectors. The end of the thesis is focused on suitable procedures for implementation of RFID technology into the enterprise, with respect to a feasibility of the project, which is determined in the initial study based on the methodology MMDIS.
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