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Detection of Correlated Mutations
Ižák, Tomáš ; Bendl, Jaroslav (referee) ; Martínek, Tomáš (advisor)
Tato práce zkoumá existující možnosti a metody detekce korelovaných mutací v proteinech. Práce začíná teoretickým úvodem do zkoumané problematiky. Využití informací o korelovaných mutacích je především při predikci terciální struktury proteinu či hledání oblastí s významnou funkcí. Dále následuje přehled v současnosti používaných metod detekce a jejich výhody a nevýhody. V této práci jsou zkoumány zejména metody založené na statistice (například Pearsonově korelačním koeficientu nebo Pearsonově chi^2 testu), informační teorii (Mutual information - MI) a pravděpodobnosti (ELSC nebo Spidermonkey). Dále jsou popsány nejdůležitější nástroje s informací o tom, které metody používají a jakým způsobem. Také je diskutována možnost návrhu optimálního algoritmu. Jako optimální z hlediska úspěšnosti detekce je doporučeno využít více zmíněných metod. Také je doporučeno při detekci využít fyzikálně-chemických vlastností aminokyselin. V praktické části byla vyvinuta metoda využívající fyzikálně-chemických vlastností aminokyselin a fylogenetických stromů. Výsledky detekce byly porovnány s nástroji CAPS, CRASP a CMAT.
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Autonomous Control System for Mobile Platform
Kříž, Vlastimil ; Burian, František (referee) ; Žalud, Luděk (advisor)
This work undertake the design of autonomous control system for mobile platform – slot car – for the Freescale Race Challenge 2009. The aim is to draw and implement control system, which will be able to drive the car trough the previously unknow path in the shortest time. In work is described factors that affect runing the car and draw optimal driving style. Then sensors for the car, type of motor control and control unit are chosen. The algorithms for maping the profile and for lap recognition are developed. Next the realization of the systém are descripted.
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Interactive software tools for teaching signal processing
Pacas, Ondrej ; Rajmic, Pavel (referee) ; Mangová, Marie (advisor)
This thesis deals with creation of four interactive applications for educational purposes in the field of digital signal processing. The goal of this work is to create four applications which will visually interpretate each of the methods of signal processing. This involves applications for linear regression and least squares method, interpolation and signal reconstruction from its samples, discrete linear convolution and discrete cross-correlation. Applications are created using JavaScript programming language.
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Use of Astronomical Levelling for Creation of Quasigeoid Models
Jurčík, Josef ; Weigel,, Josef (referee) ; Machotka, Radovan (advisor)
My master´s thesis deals with use of astronomical levelling for creation of quasigeoid models. The basic input dates are componets of astronomical-geodetic deflections of the vertical in points, which are determined on AGNES and VEVEŘÍ nets. The dates are adjust for determination of relative quasigeoid. In literature [4], there is simplified solution for adjustment of this dates. The thesis looks for the most comprehensive solutions of adjustment without simplification. The solutions are compared.
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Test form evaluation by OCR
Noghe, Petr ; Fliegel, Karel (referee) ; Kaller, Ondřej (advisor)
This thesis deals with the evaluation forms using optical character recognition. Image processing and methods used for OCR is described in the first part of thesis. In the practical part is created database of sample characters. The chosen method is based on correlation between patterns and recognized characters. The program is designed in a graphical environment MATLAB. Finally, several forms are evaluated and success rate of the proposed program is detected.
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Investing in Commodities through Futures Contracts
Králík, Patrik ; Bílek, Michael (referee) ; Rejnuš, Oldřich (advisor)
The diploma thesis focuses on the analysis and comparison of selected commodities in order to create an investment recommendation to diversify the hedge fund's equity portfolio. The theoretical part deals with issues related to the investment portfolio, commodities, trading through futures contracts and explains the applied analytical methods. In the practical part, commodities are first selected, which are then analyzed by selected methods and finally compared by a comparative method. The last part of the work contains, based on the results, a proposal to expand the investment portfolio and the process of making investments through commodity futures contracts.
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Surface roughness measurement of shaft parts of gearbox MQ100 using scattered light method
Horák, Josef ; Slaný, Martin (referee) ; Kalivoda, Milan (advisor)
This thesis primary deals with the possible use of measuring the surface texture of gearbox MQ100 shaft parts in serial production by the scattered light method. The introduction briefly describes the company ŠKODA AUTO a.s., as well as gearbox MQ100. The paper continues by describing the process of manufacturing shaft parts, focusing on grinding, no. 130 for pinions and no. 135 for drive shafts, which is the last process of manufacturing shaft surfaces. The next part of the thesis describes the quality of ground surfaces in gearbox MQ100 shaft parts for the control period, followed by the dependency evaluation of parameter Aq, concerning the surface-structure optical measurement, on parameter Rz. After the dependency has been determined, the thesis delineates verification tests, and proposes a tolerance value for parameter Aq when taking the measurements by the diffused light method. In addition, a modification of the OptoSurf measuring device is suggested as well as the proposal of issuing a test certificate in order to determine the final tolerance value of parameter Aq.
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Reference signals in intracranial EEG: implementation and analysis
Uher, Daniel ; Hejč, Jakub (referee) ; Ronzhina, Marina (advisor)
The idea of a artifact-free brain activity recording has been circling around the scientific world for a few decades. Parasitic phenomenons and unwanted components may significatntly complicate the analysis of intracranial electroencephalographic (iEEG) recordings. However, with the rise of modern technology, new methods for precise removal of noise artifacts started to emerge. Here we use the concept of virtual reference signals for the elimination of such unwanted components. In this work, the algorithms for reference signal estimation using common average based method as well as more recent methods based on independent component analysis (ICA) were realized and evaluated on a variety of iEEG data. It was found that the ICA-based algorithms allow obtaining more accurate estimation of the reference signal as compared to the average-based one. Finally, all the methods were implemented into a open-source Python package đť‘źđť‘’đť‘“đť‘ đť‘–đť‘”, which is publicly available, easy to install and ready to use.
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Correlations of parameters of selected rock types based on laboratory tests
Závacký, Martin ; Lahuta, Hynek (referee) ; Durmeková,, Tatiana (referee) ; Horák, Vladislav (advisor)
The dissertation thesis deals with the properties of hard rocks important for designing geotechnical structures, such as strength and deformation characteristics, as well as rock failure criteria. This work examines the possibility of using correlation relations to estimate the strength characteristics of rocks from index tests, which can make the rock testing process more efficient. The author described selected laboratory tests of rocks and identified several limitations of the tests procedures based on his own practical experience. The correlation analysis of an extensive data set and the derivation of regression relations for selected dependencies were performed. Furthermore, the rock strength estimation quality of the newly derived regressions was compared with the already published regressions. The analysis shows that the achieved degree of correlation is not sufficient to generalize the examined regressions. A significant reason of the low degree of correlation is the combination of the variability of rock properties and limitations of practical testing procedures. Thus, focus should be paid on calibration of the regression relationships within smaller areas in order to precisely estimate the rock properties as reliable input to the geotechnical design.
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