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Application of Legendre basis for spectral analysis
Mesárošová, Michaela ; Jirgl, Miroslav (referee) ; Mihálik, Ondrej (advisor)
The thesis focuses on the possibilities of using Legendre polynomials in order to obtain a spectrum of signals. It examines their properties in the time and frequency domain such as generating methods, root position, and orthogonality. Another goal was to implement the Legendre transform and to verify the quality of the obtained spectra and signal approximations in comparison with various methods. Finally, it deals with the choice of a suitable approximation order as well as the analytical possibilities of spectrum calculation.
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Sparse Representation for Classification of Posture in Bed
Mesárošová, Michaela ; Mihálik, Ondrej
Redundant dictionaries, also known as frames, offera non–orthogonal representation of signals, which leads to sparsityin their representative coefficients. As this approach providesmany advantageous properties it has been used in various applicationssuch as denoising, robust transmissions, segmentation,quantum theory and others. This paper investigates the possibilityof using sparse representation in classification, comparing theachieved results to other commonly used classifiers. The differentmethods were evaluated in a real-world classification task inwhich the position of a lying patient has to be deduced basedon the data provided by a pressure mattress of 30×11 sensors.The investigated method outperformed most of the commonlyused classifiers with accuracy exceeding 92%, while being lessdemanding on design and implementation complexity.
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Sparse Representation of Signals
Mesárošová, Michaela ; Arm, Jakub (referee) ; Jirgl, Miroslav (advisor)
People who are immobile or lie for long periods are at high risk of developing pressure ulcers and require additional care. Therefore, it is necessary to monitor the condition of such persons as simply and efficiently as possible. In this work, we focus on processing the signals provided by a pressure mattress with a 30x11 sensor grid on which a person lays and the possibilities of its use after conversion into sparse representation coefficients. Redundant dictionaries, also known as frames, enable non-orthogonal representation of signals, which leads to a sparse representation of coefficients. Since this approach provides many advantageous properties and is being used in various applications, such as denoising, segmentation, robust transformations, quantum theory, and others, we verified the possibility of classifying a person’s lying position based on a sparse representation. The results were compared with other traditional classification methods, which were found to be less suitable for the classification problem, with the best-achieved result of 92.41 % for CNN, but with high demands on time, design and complexity. The success rate of the classification reached 92.76 %, with fewer demands on design and implementation complexity. The possibilities of classification and reconstruction of an image containing occlusions were also investigated, where the sparse representation proved to be an effective method to remove these defects.
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Application of Legendre basis for spectral analysis
Mesárošová, Michaela ; Jirgl, Miroslav (referee) ; Mihálik, Ondrej (advisor)
The thesis focuses on the possibilities of using Legendre polynomials in order to obtain a spectrum of signals. It examines their properties in the time and frequency domain such as generating methods, root position, and orthogonality. Another goal was to implement the Legendre transform and to verify the quality of the obtained spectra and signal approximations in comparison with various methods. Finally, it deals with the choice of a suitable approximation order as well as the analytical possibilities of spectrum calculation.
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The usage of organic food at the kindergartens (České Budějovice)
MESÁROŠOVÁ, Michaela
This thesis deals with research in the use possibilities of organic food in kindergartens in the town of České Budějovice on two levels (management and parents).It was found out that some of the kindergartens are using organic food. The biggest barrier to the using of organic food in kindergartens is their price. Most parents are satisfied with the quality of food in their kindergartens. Furthermore it could be said, that the parents know organic food but it can?t be confirmed the hypothesis that says parents would welcome the use of organic food in kindergarten?s canteens. The results indicate that not all the parents are able to accept the minimum of price increase in meal at the kindergartens. In the end there are recommended some local organic food which could be appropriate for using in the kindergartens in the town of České Budějovice.
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Cultural heritage and development of tourism in Český Krumlov region
MESÁROŠOVÁ, Michaela
This bachelor{\crq}s thesis deals with the topic of culture and heritage tourism. Firstly we evaluated the culture potential in chosen area. To receive the primary information we did marketing research. We asked the domestic visitors in the South Bohemia region and in in the west region. In addition we made some statistics by using one-way ANOVA analysis. We used tabs and graphs to demonstrate our results. There were discovered certain differences in the reasons of the holiday or travel between the visitors with various level of education, different types of age, between male and female. We measured the differences between the attitudes. According to the feelings we can say what type of tourism attractions is the most suitable for the region to attract the visitors.
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