The aim of the thesis is detection of a known object in series of pictures. Detection is divided into two methods. First method is based on edge and color detection and comparison. Edge detection is based on detection using both Gradient and Laplacian, so on the first-order and the second-order derivative. Sobel operators were used as well as Laplacian of gaussian method. Thresholding is also used as well as autothreshold calculation. There are two variants of color detection considered in the thesis, direct color comparison and detection based on interest color search. The second part of the thesis is based on interested point detection using a modified SURF method to detect a known object in series of pictures.

Thesis is aimed at describing the concepts and basic principles in the economy in gross domestic product. Furthermore it deals with the description of time series, their types, characteristics and the basic classification. A decomposition of time series into thein components is indicated. Another part is a basic description of the most commonly used economic filters - Hodrick-Prescott and Baxter-King. The Christiano-Fitzgerald and frequency-selective filter for short length time series have been practically implemented in MATLAB. The rest of the thesis deals with the application of above mentioned filters to data of Czech Republic, European Union, USA and selected EU countries. Moreover, the correlation between spectral components of the data for selected countries is investigated. KEYWORDS

In the thesis there are described the implementations of various types of filters to remove disturbing signals, which often degrade the ECG signal. In particular, it is a zero isoline fluctuations and power network interference. It is used a principle of the Lynn’s linear filters. The individual filters are designed in a recursive and non-recursive implementation. Then there is described a time-varying linear Lynn's filter for removing drift of zero isoline signal. The thesis also includes filters with minimized calculating time of response, by sampling rate conversion method for both interference types. In conclusion there is an experimental study of the filter implementation for ECG signal with false and real interferences.

This master’s Thesis focuses on image processing on Android platform and development of an application, that is able to do face detection and recognition in real scene. Thesis gives highlight of modern algorithms of face detection. It first examines and compares the standard features of Android platform (FaceDetector a FaceDetectionListener) and JJIL, OpenIMAJ, OpenCV libraries experiment, and presents the results. For purposes of face recognition was selected OpenCV library. Three different algorithms of identification were tested: FisherFaces, EigenFaces a Local Binary Patterns Histograms. Based on performance comparison best methods were implemented in developed application.

This master's thesis deals with the optimization of numerical coefficients of the Wiener filter for muscle noise filtering in ECG signals. The theoretical part deals with ECG signal characteristic and muscle interference. It also contains a summary of the wavelet transform, wavelet Wiener's filtration, methods for calculating of the threshold and thresholding. In the last theoretical part the characteristic optimization techniques, the exhausive search and Nelder-Mead simplex method are mentioned, which were implemented in the practical part of this thesis in MATLAB. The functional verification and Wiener's filter optimization were tested on the standard electrocardiograms database CSE. By using the methods of exhausive search, the initial estimate for the solution method Nelder-Mead was obtained. The optimization method Nelder-Mead gives better results in the orders of hundredths or tenths than the method of exhausive search. The practical part is finished by the comparison of results of implemented algorithm with optimum coefficients, implemented in this thesis, with the results of other methods for filtering muscle interference in ECG signals.

The thesis is focused on the study of detection of QRS complex in time a frequency domain. The aim is to implement selected methods and their comparison to assess the effectiveness of QRS complex.

This diploma thesis explores treatment options of wastewater with a low presence of organic pollution produced by minor pollution sources. The research part describes objects with a low presence of organic pollution in wastewater and possible treatment methods in dependence of pollution source's size. The practical part contains the design of technological options of treatment of wastewater with a low presence of organic pollution for a specific object.

The goal of this thesis was to determine the operational and technical parameters of the separation objects in water treatment. The first part is a theoretical and provides basic information on this issue. The second part contains the evaluation criteria created by the obtained information for individual objects and gained in practice by personal visits of selected treatment plants of water. In the last part we can find application of these criteria in water treatment in practice. There is also included the final evaluation of the researched condition.

The first part of the thesis is focused on the problems related to sludge and evaluates sludge disposal from waste treatment plants. The thesis mentions factors influencing method selection of sludge disposal as well as it compares sludge disposal in the Czech Republic and in the other states of the EU. It describes a complete waste treatment line and sludge disposal in the area of sludge treatment and disposal. It deals with sludge disintegration and describes the most effective methods of disintegration. The second part of the thesis describes an experimental part of disintegration of waste treatment sludge. An experiment was conducted in the school laboratory in a way of thermal disintegration in the double-surface pressure tank. The disintegration was conducted to temperatures of 60 °C, 90 °C, 120 °C, 150 °C, and 180 °C. We monitored dependence of the sludge dry residue content on disintegration temperature as well as content of suspended solids in liquid fraction (FUGAT). It was possible to choose optimal temperature of disintegration in accordance with processed results.

Analysis of the regional energy supply, shows that suitable alternative may be a combination of primary energy sources with the municipal solid waste to energy plant. Starting from the fact that the regional thermal energy needs are characterized by smaller power demand, but relatively significant seasonal fluctuations in heat supply. These factors limit the processing performance of the considered waste to energy plant that could be included in the system of regional energy supply. The aim of the thesis was to propose adequate treatment capacity for regional waste to energy plant and explore alternative solutions in off-gas cleaning for exhaust gases generated during incineration of MSW. The balance sheets of two alternative solutions off gas cleaning are part of the thesis, both in terms of material and energy consumption. Presented evaluation of economic demands alternative arrangement of off gas cleaning includes operating costs and the impact on earnings from energy production.