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Wyniki wyszukiwania dla: RTLS
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Using the Fingerprinting Method to Customize RTLS Based on the AoA Ranging Technique
PublikacjaReal-time Locating Systems (RTLSs) have the ability to precisely locate the position of things and people in real time. They are needed for security and emergency applications, but also for healthcare and home care appliances. The research aims for developing an analytical method to customize RTLSs, in order to improve localization performance in terms of precision. The proposed method is based on Angle of Arrival (AoA), a ranging...
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Performance improvement of NN based RTLS by customization of NN structure - heuristic approach
PublikacjaThe purpose of this research is to improve performance of the Hybrid Scene Analysis – Neural Network indoor localization algorithm applied in Real-time Locating System, RTLS. A properly customized structure of Neural Network and training algorithms for specific operating environment will enhance the system’s performance in terms of localization accuracy and precision. Due to nonlinearity and model complexity, a heuristic analysis...
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Customization of UWB 3D-RTLS Based on the New Uncertainty Model of the AoA Ranging Technique
PublikacjaThe increased potential and effectiveness of Real-time Locating Systems (RTLSs) substantially influence their application spectrum. They are widely used, inter alia, in the industrial sector, healthcare, home care, and in logistic and security applications. The research aims to develop an analytical method to customize UWB-based RTLS, in order to improve their localization performance in terms of accuracy and precision. The analytical...
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Jacek Stefański prof. dr hab. inż.
OsobyJacek Stefański ukończył studia na Wydziale Elektroniki Politechniki Gdańskiej (PG) w 1993 r. W 2000 r. uzyskał stopień doktora nauk technicznych w dyscyplinie telekomunikacja, w 2012 r. stopień doktora habilitowanego, natomiast w 2020 r. tytuł profesora nauk inżynieryjno-technicznych. Obecnie pracuje na stanowisku profesora w Katedrze Systemów i Sieci Radiokomunikacyjnych (KSiSR) PG. W latach 2005-2009 był zatrudniony w Instytucie...
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Optimization of the Hardware Layer for IoT Systems using a Trust Region Method with Adaptive Forward Finite Differences
PublikacjaTrust-region (TR) algorithms represent a popular class of local optimization methods. Owing to straightforward setup and low computational cost, TR routines based on linear models determined using forward finite differences (FD) are often utilized for performance tuning of microwave and antenna components incorporated within the Internet of Things systems. Despite usefulness for design of complex structures, performance of TR methods...