|
|
Detection of significant events in systems baased on phase OTDR
Makówka, David ; Petyovský, Petr (referee) ; Valach, Soběslav (advisor)
This diploma thesis concerns the design, implementation and testing of a system that classifies events captured using optic fiber along a perimeter of guarded objects. A theoretical part introduces physical principles, main structures of measuring systems, methods of measuring, data format, pre-processing options and classification using convolutional neural networks. A practical part describes implementation of a software for convolutional neural networks training and testing, process of samples extraction from measured data, its annotation and conversion to format required by neural networks. Results of measured data analysis and results of achieved classification accuracy using convolutional neural networks for both post processing of measured data and for deployment of neural network into real time processing system are presented.
|
|
|
Graphical user interface for sensing systems
Dejdar, Petr ; Vojtěch, Josef (referee) ; Münster, Petr (advisor)
Master thesis is focused on creating graphical user interface for the sensorical system based on Phase-OTDR. Theoretical part describes optical fibers, explains the principle of Bragg gratings, their production and their use in sensors. Methods of optical fiber attenuation and phase OTDR measurement are also described. Other part is focused on LabVIEW programming software and utilization of sensorical system and its components. Practical part deals with the user interface itself, which consists of two tabs. The first tab is designed for evaluation and display of measured data. The second tab is used to control and set up system components. Both of these tabs are further subdivided into other subtabs. Regarding the conclusion, further development of the program and options of hardware replacement for improving this sensorical system in the future will be discussed.
|
|
|
Detection of significant events in systems baased on phase OTDR
Makówka, David ; Petyovský, Petr (referee) ; Valach, Soběslav (advisor)
This diploma thesis concerns the design, implementation and testing of a system that classifies events captured using optic fiber along a perimeter of guarded objects. A theoretical part introduces physical principles, main structures of measuring systems, methods of measuring, data format, pre-processing options and classification using convolutional neural networks. A practical part describes implementation of a software for convolutional neural networks training and testing, process of samples extraction from measured data, its annotation and conversion to format required by neural networks. Results of measured data analysis and results of achieved classification accuracy using convolutional neural networks for both post processing of measured data and for deployment of neural network into real time processing system are presented.
|
|
|
Graphical user interface for sensing systems
Dejdar, Petr ; Vojtěch, Josef (referee) ; Münster, Petr (advisor)
Master thesis is focused on creating graphical user interface for the sensorical system based on Phase-OTDR. Theoretical part describes optical fibers, explains the principle of Bragg gratings, their production and their use in sensors. Methods of optical fiber attenuation and phase OTDR measurement are also described. Other part is focused on LabVIEW programming software and utilization of sensorical system and its components. Practical part deals with the user interface itself, which consists of two tabs. The first tab is designed for evaluation and display of measured data. The second tab is used to control and set up system components. Both of these tabs are further subdivided into other subtabs. Regarding the conclusion, further development of the program and options of hardware replacement for improving this sensorical system in the future will be discussed.
|
guest ::
