The thesis deals with definitions of the crisis management (in the general level with the application into a practice - business branch), further problems of correction and solution of the crisis in the organisation. In the hard-headed part there the student suggests the optimal soltution of the crisis in the specific company.

The Master's Thesis is focused on methods and tools in knowledge management. The paper introduce knowledge management its history and present. Meanwhile history is presented as a list of important events present view is supported by current trends in field of knowledge management, business analysis of selected companies and evaluation of available publications on the topic of knowledge management. The main aim the paper is to present suitable methodology for the initial phase of Mitroff's model - conceptualization. The selected approach is then applied to the model situation. It is the decision of the city government for the construction and expansion of local factory. The last part is about Business Model Canvas which aims to outline the possible application of the methodology in practice.

The diploma thesis called Optimization of processes in a distribution company is focused on a firm, fictionally named ABC Ltd which, however, represents a real distribution company, a holding company to be precise, whose parent company is based in the Czech Republic and its subsidiaries are located in Italy, China and Australia. The overall number of staff of the whole concern is sixteen, so it falls into the category of small companies. The main purpose of this paper is to analyze the company's processes. The greatest benefit of the thesis is saving the company's expenses based on optimization of the company's processes. In the introduction to the paper all the goals and benefits are stated. The next chapter reveals a brief description of skills that are vital for working on the practical part of the paper and meeting all the goals that have been set at the beginning. The introduction to the practical part deals with introducing the company ABC Ltd. The main topic of this part is the analysis of the present state of the firm's enterprise architecture. One of these architectures, the process one, describes the company's processes which are divided into the main and the supporting ones. In the main processes the potential for improvements is identified. The conclusion brings evaluation of the limits which follow from the revealed potential and suggestions for supporting the limits in the form of project solution.

The diploma thesis called "Optimization of processes in procurement departmenf of FMCG company" is focused on the optimization of procurement processes in an unnamed FMCG company. The main goals of this work include the analysis of similar solutions in business process optimization and selection of appropriate methods and procedures. Other objectives are to analyze the current state of processes, their support and maturity and potential improvement identification in selected processes. Last goal is a suggestion of project proposals designed to achieve potential improvement identification in the analyzed procurement processes. Contribution of this thesis is to analyze the purchasing process from the perspective of process maturity, its priorities, support and potential for improvement. Modelling of current processes in a unified methodology and tool is another benefit of this work. The work consists of an introductory section that defines the objectives, benefits and working methods. The following is a description of the research work and basic terms, thus ending the theoretical part. The practical part contains the characteristics of the company, a description of existing processes, potential improvement identification and a proposal of support in identified real potentials.

The mater’s thesis focuses on the issue of the reliability and efficiency performance of the human factor, identifying the risks of potential causes of failure of the chosen company. Based on the theoretical knowledge referred to in the first part thesis is designed procedures useful as a tool to prevent individual failures, focusing on solutions to the adverse conditions of stress or crisis when exposed to the human factor. The final section suggests the motivation of employees by proactively identifying risks.

Stavové modely jsou neobyčejně užitečné v mnoha inženýrských a vědeckých oblastech. Jejich atraktivita vychází především z toho faktu, že poskytují obecný nástroj pro popis široké škály dynamických systémů reálného světa. Nicméně, z důvodu jejich obecnosti, přidružené úlohy inference parametrů a stavů jsou ve většině praktických situacích nepoddajné. Tato dizertační práce uvažuje dvě zvláště důležité třídy nelineárních a ne-Gaussovských stavových modelů: podmíněně konjugované stavové modely a Markovsky přepínající nelineární modely. Hlavní rys těchto modelů spočívá v tom, že---navzdory jejich nepoddajnosti---obsahují poddajnou podstrukturu. Nepoddajná část požaduje abychom využily aproximační techniky. Monte Carlo výpočetní metody představují teoreticky a prakticky dobře etablovaný nástroj pro řešení tohoto problému. Výhoda těchto modelů spočívá v tom, že poddajná část může být využita pro zvýšení efektivity Monte Carlo metod tím, že se uchýlíme k Rao-Blackwellizaci. Konkrétně, tato doktorská práce navrhuje dva Rao-Blackwellizované částicové filtry pro identifikaci buďto statických anebo časově proměnných parametrů v podmíněně konjugovaných stavových modelech. Kromě toho, tato práce adoptuje nedávnou particle Markov chain Monte Carlo metodologii pro návrh Rao-Blackwellizovaných částicových Gibbsových jader pro vyhlazování stavů v Markovsky přepínajících nelineárních modelech. Tyto jádra jsou posléze použity pro inferenci parametrů metodou maximální věrohodnosti v uvažovaných modelech. Výsledné experimenty demonstrují, že navržené algoritmy překonávají příbuzné techniky ve smyslu přesnosti odhadu a výpočetního času.

The aim of the diploma thesis is to map the information provided by web browsers, which can be used in practice to identify users on websites. The work focuses on obtaining and subsequent analysis of information about devices, browsers and side effects caused by web extensions that mask the identity of users. The acquisition of information is realized by a designed and implemented library in the TypeScript language, which was deployed on 4 commercial websites. The analysis of the obtained information is carried out after a month of operation of the library and focuses on the degree of information obtained, the speed of obtaining information and the stability of information. The dataset shows that up to 94 % of potentially different users have a unique combination of information. The main contribution of this work lies in the created library, design of new methods of obtaining information, optimization of existing methods and the determination of quality and poor quality information based on their level of information, speed of acquisition and stability over time.

Master’s thesis describes adaptive optimal controller design which change parameters of algorithm based on the system information regard for optimal criterion. Generally, the optimal controller solves the problem of minimum states vector. Problems of desired value and steady-state error are solved by variation in optimization algorithm.

Master’s thesis describes adaptive optimal controller design and it’s settings. Identification with principles of artificial intelligence and recursive least squares identification with exponential and directional forgetting are compared separately and as part of controller. Adaptive optimal controller is tested on physical model and compared with solidly adjusted PSD controller. Possibilities of implementation of adaptive optimal controller into programmable logic controller B&R are show and tested.

This work deals with the text-dependent speaker recognition in systems, where just a few training samples exist. For the purpose of this recognition, the voice imprint based on different features (e.g. MFCC, PLP, ACW etc.) is proposed. At the beginning, there is described the way, how the speech signal is produced. Some speech characteristics important for speaker recognition are also mentioned. The next part of work deals with the speech signal analysis. There is mentioned the preprocessing and also the feature extraction methods. The following part describes the process of speaker recognition and mentions the evaluation of the used methods: speaker identification and verification. Last theoretically based part of work deals with the classifiers which are suitable for the text-dependent recognition. The classifiers based on fractional distances, dynamic time warping, dispersion matching and vector quantization are mentioned. This work continues by design and realization of system, which evaluates all described classifiers for voice imprint based on different features.