Segmentation of the vasculature is an important step in the process of the retinal image analysis.Theresultsoftheanalysiscanbeusedtodiagnoseseveraleyeandcardiovascular diseases. The aim of this thesis is to search for possibilities in video-sequences from experimental fundus camera.

This project explores basic methods of time series analysis and decomposition of these series using the additive model. It describes creation of classes for generating and decomposition of time series in Python. This project also guides the reader through creation of Matlab user interface which is used to generate time series and mark chosen parameters. I also go through implementation of functions for time series decomposition previously created in Python. I chose seven parameters of which I kept track. I also chose general features for representing chosen parameters as well as features which were chosen carefully for each parameter. Every time series generated by this user interface are then used to train a program, which classifies them for semantic description. After training the created model was used to predict chosen parameters of previously unknown time series.

Segmentation of the vasculature is an important step in the process of the retinal image analysis.Theresultsoftheanalysiscanbeusedtodiagnoseseveraleyeandcardiovascular diseases. The aim of this thesis is to search for possibilities in video-sequences from experimental fundus camera.

This paper describes the manifestations of ischemia in the ECG signals and summarizes some methods allowing automatic detection of ischemia. Morphological features were then calculated from ECG signals available from UBMI and statistically evaluated to select features appropriate for further automatic classification. Multilayer feedforward neural network was used for classification of heart beats. The neural network was designed in Matlab. Classification performance up to 99.9% was obtained on available dataset.

The thesis discusses the possibilities of using contour shape classification for detection of mis-segmented bones in computed tomography (CT) data. In the first part there are presented published methods and algorithms which deal with the segmentation of bone structures in CT data. Then segmentation of cortical bones is implemented by a simple thresholding with global threshold. The threshold is determined by the optimized fitting of a selected type probability distribution to the histogram. Subsequently, the thesis describes some important shape descriptors that can quantitatively describe the shapes of objects in the image. Further, the contour extraction is implemented and a suitable shape descriptor, cumulative angular function, is applied. Finally, the points which can potentially indicate mis-segmented bones are detected by using continuous wavelet transform. The proposed technique is tested on the real CT data.

The diploma thesis deals with the analysis of the customer´s satisfaction of the Hotel Centro and with the process of implementation of the official standard classification of the accommodation facilities in the Czech republic system with an aim to obtain a 4**** class in a category „Hotel“. It assesses a current phase and then on the basis of observed shortages and classification requirements suggest desirable improvements and measures. It shows the process of obtaining the classification certificate.

The object of this diploma thesis is to perform Functional Hazard Assessment of small four-seat aircraft according to Federal Aviation Regulations Part 23, which would be similar to present aircrafts on market. Input data were acquired by research of systems aircrafts use on current market. On this basis the Functional Hazard Assessment was performed ad aircraft level. Total loss of power supply was qualified as Catastrophic therefore is used in following assessment. A preliminary failure rate assessment of typical parts used in electrical system was performed at the end of diploma thesis. For the most crucial parts a simple model was created and failure rate computed.

The thesis focuses on the measurement of intima media thickness, which seems to be a significant marker of the risk of cardiovascular events. Intima media thickness is measured in ultrasound image displaying the common carotid artery in its longitudinal section. In the longitudinal section the intima and media layers are visible. Thesis is discussing both technical and medical background and summarizes state of the art in this field. The main part of the thesis describes the novel automatic system for measurement of intima media thickness. Proposed system includes also robust method for artery localization and therefore is able to process raw B-mode data from ultrasound station without any initialization or manual preprocessing.

The thesis is focused on the study and optimize inventory management at Kordárna Plus, a. s. The theoretical part describes the characteristics of the basic concepts related to inventory management, classification, costs associated there with and methods of inventory control. The practical part is focused on the analysis of stocks on the process of procuring, warehousing and inventory control. This analysis uncovered deficiencies for which they proposed solutions. Proposals should lead to improved inventory management in the company.

Dynamika úhozů kláves je jednou z behaviorálních biometrických charakteristik, kterou je možné použít pro průběžnou autentizaci uživatelů. Vzhledem k tomu, že styl psaní na klávesnici se v čase mění, je potřeba rovněž upravovat biometrickou šablonu. Tímto problémem se dosud, alespoň pokud je autorovi známo, žádná studie nezabývala. Tato diplomová práce se pokouší tuto mezeru zaplnit. S pomocí dat o časování úhozů od 22 dobrovolníků bylo otestováno několik technik klasifikace, zda je možné je upravit na online klasifikátory, zdokonalující se bez učitele. Výrazné zlepšení v rozpoznání útočníka bylo zaznamenáno u jednotřídového statistického klasifikátoru založeného na normované Euklidovské vzdálenosti, v průměru o 23,7 % proti původní verzi bez adaptace, zlepšení však bylo pozorováno u všech testovacích sad. Změna míry rozpoznání správného uživatele se oproti tomu různila, avšak stále zůstávala na přijatelných hodnotách.