Práce se zabývá modelováním PMSM, jeho parametry a jejich získáváním. Dále je v práci popsán model měniče beroucí v potaz dead-time efekt. Tyto modely jsou implementovány společně s dalšími bloky v prostředí Matlab/Simulink a dohromady tvoří knihovnu pro vektorové řízení motorů FSL_MC_TOOL. Součástí práce je také měření a identifikace parametrů skutečného PMSM. Dále byly vytvořeny příklady simulací, v nichž je použit motor s těmito parametry a vyhodnocena přesnost simulace. Tímto jsou simulace ověřeny na reálném systému.

This paper is focused on identification of pauses in noisy speech signal and following filtering of the noise from the signal. Firstly the signal processing methods are theoretically described, then voice activity detectors and in the end noise filtering methods are described. Several voice activity detectors were created and their pause detection rate was compared.

The aim of this work is a literature review on the topic of the mitochondrial genome and DNA barcoding, building a dataset of mitochondrial sequences from GenBank database and creatione of a software function for extraction of individual genes that are present in the mitochondrial genome. This function was developed in Matlab. DNA barcoding is a method that uses short DNA sequence of mitochondrial genome for identification of species. There is no comprehensive work examining the appropriateness of different mitochondrial genes. This aim investigates the potential of other mitochondrial genes and evaluate their effectiveness for DNA barcoding and calculation of intra-and interspecific variability.

This diploma thesis is dealing with an issue of machine vision in the field of traffic signs recognition. The first part is devoted to machine vision in general traffic situations. Together with traffic applications there is paid attention to a possible autonomous vehicle and applications for the traffic signs recognition. The main part of this work is devoted to a description and an implementation of several methods for colour and pattern localisation of traffic signs in the scene and to identification algorithms. Apart from the implementation itself, these algorithms are submitted to several experiments for a valorisation of their success. The thesis also includes a gallery of images with traffic signs including a file with descriptive annotation for an automatic testing of algorithms.

This thesis describes the anatomical characteristics of fingerprints and their applications in identifying the person. The theoretical part describes the importance of papillary lines on fingerprints, statistical analysis and pre-processing of images in particular. The practical section provides the necessary operations to compare fingerprints. The implementation was done in Matlab.

Nowadays number of UAVs is still increasing. If we want to design their autopilot system, we need a simulation model to test and tune our autopilot design. This thesis is about creating such model fo small fixed wing UAV. This thesis contain information how to create the model, which equations to use and what various parameters mean. One of the possibilities is parameter identification from measured data. In later part of this paper is a small research of this topic and implementation of two of them. Virtual model, which is obtained at the end of this work, accomplished its primary goal and was used to initial autopilot design. Implemented identification methods worked as well, but we didn't succeed in upgrading the model parameters due to the defects during the data measurement.

This thesis deals with management of risks in GALATEK s.c. Risk management is divided into the identification, analysis and mitigation of risks, all of these areas are described in the theoretical part. In the analytical part of the work these areas are identified by using risk analysis environment that includes a SLEPTE analysis, the Porter's model, the 7S Model and the resulting SWOT analysis. Subsequently, the data are analyzed by the scoring method. The measures to reduce serious risks that could jeopardize the company are proposed in the last part of the thesis. The contribution of this work lies in pointing out the advantages of risk management and the necessity of its implementation in the company.

This master‘s thesis deals with risk management of business entity. Risk management is divided into the identification, analysis and measure of risks. All of these areas are described in the theoretical part. In the analytical part of the work these areas are identified by using risk analysis environment that includes a SLEPTE analysis, the Porter's model and the 7S Model. These risks are evaluated with scoring method. Most important causes and consequences are figured in Ishikawa diagrams. In the last part of the thesis are suggested measures to eliminate these risks. The diversification was propossed for one of the measure. The contribution of this work lies in treatment of risk management of business entity and demostrate the benefits of its implementation in the company.

Tato disertační práce se zabývá metodami modelování elektronického zařízení letadel. První část je stručným přehledem klasických metod modelování systémů a adaptivních, fuzzy a hybridních metod používaných převážně k black-box modelování. Cílem práce je vytvořit algoritmus pro identifikaci a modelování obecného systému, který může být nelineární, dynamický a velmi složitý, například co do množství rozměrů. Předpokládá se, že model má několik vstupů a výstupů. V hlavní části práce je rozebrána metoda, která patří mezi hybridní systémy, protože kombinuje fuzzy systém s parametricky definovanými pravidly a regresní neuronovou síť. Nejprve je zmíněn základní princip regresní sítě a způsob určení jejího parametru strmosti, dále se kapitola zabývá zavedením fuzzy pravidel do této sítě. Třetí část se zabývá jedním z hlavních bodů práce, paralelními výpočty. Výsledný algoritmus je navržen pro paralelní zpracování, protože výpočetní čas může být v případě složitějších modelů příliš vysoký, případně nelze výsledky získané ze sítě vyhodnotit pomocí výpočtu v jednom vlákně. V závěru práce je metoda ověřena na datech získaných z měření zmenšeného modelu letadla. Ověření je provedeno pomocí střední kvadratické odchylky a srovnáním s odpovídajícím modelem vytvořeným pomocí vícevrstvé neuronové sítě trénované zpětným šířením chyby s algoritmem Levenberg-Marquardt.

This master's thesis deals with code-switching detection in speech. The state-of-the-art methods of language diarization are described in the first part of the thesis. The proposed method for implementation is based on acoustic approach to language identification using combination of GMM, i-vector and LDA. New Mandarin-English code-switching database was created for these experiments. Using this system, accuracy of 89,3 % is achieved on this database.