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Feature Space Reduction As Data Preprocessing For The Anomaly Detection
Bilik, Simon
In this paper, we present two pipelines in order to reduce the feature space for anomalydetection using the One Class SVM. As a first stage of both pipelines, we compare the performanceof three convolutional autoencoders. We use the PCA method together with t-SNE as the first pipelineand the reconstruction errors based method as the second. Both methods have potential for theanomaly detection, but the reconstruction error metrics prove to be more robust for this task. Weshow that the convolutional autoencoder architecture doesn’t have a significant effect for this task andwe prove the potential of our approach on the real world dataset.
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Design of the application for the camera control and machine learning
Lukaszczyk, Jakub ; Richter, Miloslav (referee) ; Bilík, Šimon (advisor)
This bachelor thesis deals with the design of a program for controlling industrial cameras. The first part deals with current applications, their design and shortcomings. In the practical part, a similar application is then developed using Python. Compared to currently available applications, the developed application provides a modular and open design and can therefore be further extended and modified. The application is further complemented with a link to the Tensorflow library to enable image classification and training of artificial neural network models. The application has been tested and appears to be functional. The thesis concludes by evaluating the results and outlining possibilities for further development.
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Driver monitoring
Pieger, Matúš ; Bilík, Šimon (referee) ; Richter, Miloslav (advisor)
This master’s thesis deals with the design of systems for data collection which describe the driver’s behaviour in a car. This data is used to detect risky behaviour that the driver may commit due to inattention caused by the use of either lower or higher levels of driving automation. The thesis first describes the existing safety systems, especially in relation to the driver. Then it deals with the design of the necessary measuring scenes and the implementation of new systems based on the processing of input images which are obtained via the Intel RealSense D415 stereo camera. Every system is tested in a real vehicle environment. In the end the thesis contains an evaluation regarding the detection reliability of the created algorithms, it considers their shortcomings and possible improvements.
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Impact Hammer Calibration
Bilík, Šimon
This paper describes the construction of the calibration station for the impact hammer Endevco 2302-5 and it explains the influence of the impact mass on the calibration process. Based on the previous bachelor thesis [1] it also explains the origin of the oscillations on the accelerometer output signal described there and it suggests the improvements of the calibration process.
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Impact hammer calibration
Bilík, Šimon ; Klusáček, Stanislav (referee) ; Beneš, Petr (advisor)
The theoretical part of this thesis focus on the description of the piezoelectric accelerometers and their use for the impact measurements. It also characterizes the construction and the calibration process of the impact hammers with the use of the piezoelectric accelerometers. The practical part describes the place of calibration with the calibration tools, identifies the source of the oscillations on the output signal of the accelerometer and suggests its compensation. Part of the thesis is a service program for the impact measurement, analysis and the impact hammer calibration. Thesis also describes the methodology of the calibration and quantifies the measurement uncertainty.
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GUI for Automotive Tester
Bilík, Šimon ; Čala, Martin (referee) ; Beneš, Petr (advisor)
This thesis is aiming in problematic of shock absorber testing, namely by resonance adhesive test methodology EUSAMA. The goal of the thesis was to make a program for measuring and processing signals from shock absorber tester with a graphical user interface to operate of this program. The program was written in the LabVIEW programing language and for data acquisition was used acquisition hardware of the company National Instruments.
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