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Data Mining with Python
Krestianková, Tamara ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with principles of data mining process, available Python packages for data mining and a demonstration of Python script capable of data analyisis focused on classification techniques. Created classifiers are able to classify subjects into two groups - healthy people and people suffering from Parkinson's disease - based on their biomedical vocal analysis data.
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Comparison of cryptography performance of microcontrollers ARM Cortex-A
Škurla, Tomáš ; Zeman, Václav (referee) ; Slavíček, Karel (advisor)
The bachelor thesis deals with the measurement of cryptographic performance of ARM Cortex-A series microcontrollers. The theoretical part focuses on the description of concepts of cryptography, while at the same time explaining the principles of operation of individual cryptographic systems. Afterwards, thesis also describes the inner workings of ARM processors, their historical development, support for cryptography and detection of said support within processors. This is followed by defining the metrics for testing, part of which includes enumerating the hardware used in the testing process, with the focus being on the cryptography acceleration and encryption support. This also includes a description of the planned environment and software used in the testing. The practical part includes a description of the actual preparation of the defined environment and its possible modifications within the individual testing needs. The thesis concludes with an evaluation of the processed data and subsequent drawing of conclusions
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Development of computational tool for engineering
Komiš, Jan ; Hájek, Jiří (referee) ; Vondál, Jiří (advisor)
The thesis aims to provide insight into the use of Python in engineering calculations. The thesis has been divided into a theoretical and practical part. The theoretical part introduces Python and its possible uses in the field of engineering. The second section of the theoretical part describes key choices of study resources and provides instructions on how to set up Python from the perspective of a common user. The final part of the thesis deals with the choice of appropriate libraries (SciPy, NumPy, Cantera, etc.) and shows how these can be used practically in specific tasks from the fields of thermomechanics and hydromechanics.
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Detection of objects and tracking the route of movement of traffic participants for the needs of intelligent transport nodes
Vymazal, Tomáš ; Kiac, Martin (referee) ; Burget, Radim (advisor)
The master‘s thesis is focused on the object detection. The aim of this thesis is to desine an experiment to assess the detection models YOLOv5, YOLOR, Scaled-YOLOv4 and EfficientDet and to compare their properties (detection speed, memory requirements, accuracy and certainty of detection). For this purpose a custom data set is created to investigate these parameters. The study shows that the YOLOv5 network is performd as the best solution. Deep SORT is used for object tracking which is important for the subsequent extraction of training data from video footage for object movement prediction. The added value is the design of the prediction algorithm which is based on a polynomial regression model.
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Comparison of cryptography performance of microcontrollers ARM Cortex-A
Škurla, Tomáš ; Zeman, Václav (referee) ; Slavíček, Karel (advisor)
The bachelor thesis deals with the measurement of cryptographic performance of ARM Cortex-A series microcontrollers. The theoretical part focuses on the description of concepts of cryptography, while at the same time explaining the principles of operation of individual cryptographic systems. Afterwards, thesis also describes the inner workings of ARM processors, their historical development, support for cryptography and detection of said support within processors. This is followed by defining the metrics for testing, part of which includes enumerating the hardware used in the testing process, with the focus being on the cryptography acceleration and encryption support. This also includes a description of the planned environment and software used in the testing. The practical part includes a description of the actual preparation of the defined environment and its possible modifications within the individual testing needs. The thesis concludes with an evaluation of the processed data and subsequent drawing of conclusions
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Development of computational tool for engineering
Komiš, Jan ; Hájek, Jiří (referee) ; Vondál, Jiří (advisor)
The thesis aims to provide insight into the use of Python in engineering calculations. The thesis has been divided into a theoretical and practical part. The theoretical part introduces Python and its possible uses in the field of engineering. The second section of the theoretical part describes key choices of study resources and provides instructions on how to set up Python from the perspective of a common user. The final part of the thesis deals with the choice of appropriate libraries (SciPy, NumPy, Cantera, etc.) and shows how these can be used practically in specific tasks from the fields of thermomechanics and hydromechanics.
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Data Mining with Python
Krestianková, Tamara ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with principles of data mining process, available Python packages for data mining and a demonstration of Python script capable of data analyisis focused on classification techniques. Created classifiers are able to classify subjects into two groups - healthy people and people suffering from Parkinson's disease - based on their biomedical vocal analysis data.
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