Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Processing of big data from measurements and simulations of dynamic systems
Ďuriš, Anton ; Musil, Filip (oponent) ; Kšica, Filip (vedoucí práce)
This thesis is focused on Big data processing from modern technical devices. Big data processing is a time-consuming and complex process requiring powerful hardware, however, there are some methods which enable Big data processing even on a personal computer. In the theoretical part of this thesis, available methods and functions for Big data processing, which are integrated within software and programming languages, are summarized. We focus on TDMS file format, its features and opening options in software and programming languages and their comparison. Then, data preprocessing methods accelerating processing and analysis are listed. In the practical part of this thesis, a graphical user interface in Matlab environment for TDMS file format processing with implemented data preprocessing methods is created. The aim of this thesis is to make processing with this file format more efficient by using a personal computer.
Processing of big data from measurements and simulations of dynamic systems
Ďuriš, Anton ; Musil, Filip (oponent) ; Kšica, Filip (vedoucí práce)
This thesis is focused on Big data processing from modern technical devices. Big data processing is a time-consuming and complex process requiring powerful hardware, however, there are some methods which enable Big data processing even on a personal computer. In the theoretical part of this thesis, available methods and functions for Big data processing, which are integrated within software and programming languages, are summarized. We focus on TDMS file format, its features and opening options in software and programming languages and their comparison. Then, data preprocessing methods accelerating processing and analysis are listed. In the practical part of this thesis, a graphical user interface in Matlab environment for TDMS file format processing with implemented data preprocessing methods is created. The aim of this thesis is to make processing with this file format more efficient by using a personal computer.

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