This master thesis deals with the 3D scanning. This thesis explain methods of reversal engineering with a special aim for technical disciplines. Also some examples are being given. Next part deals with the 3D scanning technology and focuses on separation of scanners to a different groups and associated technology. Basically the scanning methods are separable to destructive and non-destructive groups. An images are obtained by 3D scan, its problematics and z-axis acquisition follow in next part of the thesis. Afterwards some key parameters suitable for selection of scanning systems are selected. A scanner "David SLS2" and its basic parameters, manipulation, service and calibrating process is being described. Last part deals with function and construction of rotating table used together with the 3D scanner David SLS2.

The aim of this thesis is to design an automated scanning system for components for the purpose of inspecting their dimensions and tolerances. The theoretical introduction provides the reader with basic information on the topic of 3D scanning. The work also includes the design of own scanning system. The greatest attention is paid to the design of a program using the PCL library. The aim of the program is automatic processing of data from a 3D scanner and evaluation of the required dimensions of the scanned component. The final part of the work is devoted to testing the proposed solution.

This thesis deals with comparison the results of the frequency modal analysis of blade package of steam turbine with stiffening or damping bounding elements. Computational model was created through the finite element method, using cyclical symmetry. The results were compared with experimental analysis and analysis in VIPACK programme. Thesis also contains creating the solid blade model, using the reverse engineering.

The thesis focuses on the design of an appropriate reconstruction of automobile gearboxes for racing cars. It describes the steps necessary to create the final solution. It also describes the work of the ATOS 3D scanner and software Engineer.

The presented master thesis concerns an own design concept of a CT scanner that meet the basic technical, ergonomical and social requirements and also brings a new look and shape as solution to the main topic.

This paper deals with the application of SLAM algorithms on experimental four wheel vehicle Car4. The first part shows the basic functioning of SLAM including a description of the extended Kalman filter, which is one of its main components. Then there is a brief list of software tools available to solve this problem in the environment of MATLAB and an overview of sensors used in this work. The second part presents methodology and results of the testing of individual sensors and their combinations to calculate odometry and scan the surrounding space. It also shows the process of applying SLAM algorithms on Car4 vehicle using the selected sensors and the results of testing of the entire system in practice.

This thesis describes a conceptual design of touchless fingerprint sensor and design, implementation and testing of its firmware, which is a composition of hardware implemented in VHDL and a program implemented in C. Result of this thesis can be used as the first step of building an industrial solution.

The master thesis presents a comparison of direct laser and scanner welding. At first, using literary studies explained the technology of laser welding, followed by a practical comparison of these methods. The experiments were performed on austenitic stainless steel X5CrNi18-10 and S235JR structural steels. These methods were compared in welding times, geometry and weld hardness, mechanical properties and economy of use in industry. The comparison shows that the scanner welding is qualitatively equivalent to the conventional laser welding and is also economical.

Le remodelage des voies aériennes est un phénomène mal connu, dont le rôle est central dans la sévérité des maladies broncho-pulmonaires obstructives chroniques telles que l’asthme et la broncho-pneumopathie obstructive chronique (BPCO). La recherche est nécessaire pour comprendre les mécanismes et les conséquences fonctionnelles, qui diffèrent dans ces deux maladies. L’imagerie a le potentiel de pouvoir évaluer de façon non-invasive, in vivo, les mécanismes mis en oeuvre dans ces maladies tandis que la recherche de marqueurs pertinents est une nécessité. Dans l’asthme, chez l’animal, nous avons évalué la densité péribronchique dans des modèles murins de sensibilisation allergique. Ce marqueur a été démontré comme étant un reflet du remodelage des voies aériennes et pourrait être utilisé dans des études précliniques. Chez l’homme, nous avons d’abord optimisé les performances d’un logiciel de segmentation 3D des volumes bronchiques, en termes d’automatisation, détection de bronches distales et squelettisation. Ce logiciel a été appliqué lors d’une étude thérapeutique en double aveugle versus placebo pour évaluer l’effet du gallopamil dans l’asthme sévère. Nos résultats montrent que le remodelage musculaire lisse est une composante clé du remodelage dans l’asthme, et que le TDM quantitatif permet d’évaluer les effets de molécules lors d’essais cliniques. Dans la BPCO, nous avons mis en évidence à l’aide de la TDM quantitative que le remodelage bronchique est impliqué dans une complication particulière qui n’est pas mise en oeuvre dans l’asthme, à savoir le développement d’une hypertension artérielle pulmonaire. D’autre part, nous avons montré que la mesure automatique des petits vaisseaux permet une analyse complémentaire et supporte l’hypothèse d’un phénotype distinct de BPCO associé à une maladie vasculaire. Enfin l’IRM pulmonaire reste un challenge pour l’imagerie du fait de la faible teneur en protons et des mouvements cardiaque et respiratoire. Nous avons testé et optimisé une nouvelle séquence permettant d’obtenir des imageries de qualité très proches de celles du TDM. Ces résultats ouvrent des perspectives sur l’imagerie non irradiante des maladies broncho-pulmonaires chroniques par IRM. / Airway remodeling is a critical outcome in broncho-pulmonary obstructive disorders such as asthma, COPD and cystic fibrosis. Research is needed in order to better understand the pathophysiological process underlying these different diseases, as well as their functional significance and consesquences in vivo. Imaging allows non-invasive and quantitative assessment of the remodeling process in vivo. In asthma, we have assessed the value of peribronchial density using microCT in murine models of ovalbumine sensitization. This novel biomarker was shown to relate with remodeling than inflammation of airways and could be used in preclinical studies. In humans, we first optimized an existing chain of post treatment in order to segment in 3 dimensions bronchi volumes in order to improve automation, detection and skeletonization. The software was applied in a prospective randomized double-blinded study in severe asthma, in order to test the effect of a new therapeutic anticalcic agent. Results showed that the software enables a non-invasive assessment of airway smooth muscle remodeling in severe asthma during therapeutic studies. In COPD, we have shown that quantitative CT is able to unravel new complex mechanisms that are involved in COPD but not in asthma, i.e. the development of pulmonary hypertension. CT measurements of small vessels were also shown to add complementary information on COPD phenotypes, supporting the existence of distinct subtypes of COPD related to a vascular rather than a broncho-pulmonary disease. Finally, lung MRI is still a challenging field of investigation, owing to the very low proton density of bronchi, the presence of movement artifact. We have tested and optimized an innovative sequence combined with respiratory synchronization in order to get images in close agreement with CT. Perspectives related to this novel non-invasive, quantitative and radiation-free imaging technique are promising in the evaluation of broncho-pulmonary obstructive diseases.

Possibilities of object based image analysis for monitoring of meadow vegetation and management in the Krkonoše Mountains National Park Abstract The main aim of the thesis was to evaluate possibilities of Object Based Image Analysis (OBIA) of WorldView-2 satellite image data and aerial optical scanner for meadow vegetation and managment types classification in Krkonoše Mountains National Park. The classification was based on legend prepared by botanist of the national park. The second goal was to compare classification accuracy of Object Based Image Analysis and neural net classification method that was used by Pomahačová (2012) for the same area and the same WorldView-2 data. OBIA for meadow vegetation was conducted using SVM algorithm and "Decision Tree" algorithm. The classification accuracy was estimated using reference points from the field. The thesis puts the requirements (optimal parameters and conditions) for successfull object based classification of mountain meadow vegetation into a new perspective. Key words: Object based classification, meadows, WorldView-2, aerial optical scanner, SVM, KRNAP