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Elasticity problems in Python language
Tichoň, Dušan ; Žák, Stanislav (referee) ; Profant, Tomáš (advisor)
This bachelor thesis deals with the programming language Python. Its aim is acquaintance of NumPy, SymPy and Matplotlib libraries and their later application. Also it shows the great computing potential of programming language in creating exercises which will be used and presented for educational purposes.
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An application of Python language to some problems of the mechanics
Horák, Filip ; Lošák, Petr (referee) ; Profant, Tomáš (advisor)
Programming language Python is currently a very powerful and widely used programming tool. Its availability, simplicity and versatility makes it a popular choice among both beginners and experienced programmers. Although Python is not primarily designed for calculations, it is easy to program a calculator software when proper libraries are used. The aim of this bachelor thesis is to get to know the Python programming language, to apply it to chosen tasks of mechanics and to present the results using the Jupyter web application.
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Gamification of line-follower robot videorecordings
Soboňa, Tomáš ; Honec, Peter (referee) ; Janáková, Ilona (advisor)
This bacheor’s thesis is concerned with the processing of a vehicle’s trajectory following a black line located on an unchanging white background, and subsequently comparing of the quality of each vehicle’s covered distance on this trajectory. The first part of the thesis describes the theory for recognizing the track, individual graphic tags, as well as detection of important points in the picture and their correlation with points in another picture, for which an algorithm SIFT is used. The second part deals with the description of the program, which was created as part of this work, its classes and methods. The program is written in Python, for image processing is used mainly an open source library OpenCV and, to a lesser extent, the NumPy library. Finally, the results are concluded at the end of the thesis.
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Acceleration of Applications on a Supercomputer Using Python
Čelka, Marek ; Jaroš, Jiří (referee) ; Jaroš, Marta (advisor)
Nowadays, all computers we use are capable of parallel processing that saves time in compute-intensive tasks such as scientific computations, various simulations or predictions. The theme of this thesis is acceleration of compute-intensive tasks on supercomputer. This is achieved by the parallelization of the problem. For better understanding the issue by scientists from diverse scientific fields, the python programming language was chosen. Python is very powerful and easy to use as well. The first part of the thesis deals with the parallel processing techniques. The set of microtests was designed and implemented for this purpose. Results are then discussed and used in the further work. The second part of the thesis deals with the problem of parallel image reconstruction. For a comparison, the sequential version of the problem was also implemented. Both versions, sequential and parallel, were tested on a set of images of a different size. Experiments focus on acceleration, spent time, memory bandwidth and latency. These outcomes are also presented and discussed.
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Django framework based web application for objective analysis of hypokinetic dysarthria
Čapek, Karel ; Zvončák, Vojtěch (referee) ; Galáž, Zoltán (advisor)
This master´s thesis deals with the calculation of parameters that would be able to differentiate healthy speech and speech impaired by hypokinetic dysarthria. There was staged hypokinetic dysarthria, which is a motoric disorder of speech and vocal tract. Were studied speech signal processing methods. Further parameters were studied, which could well differentiate healthy and diseased speech. Subsequently, these parameters were programmed in Python programming language. The next step was to create a web application in Django framework, which is used for the analysis of the dyzartic speech.
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