Time-resolved spectroscopy is a modern method enabling the analysis of the dynamics of quantum luminescence transitions. This method uses ultra-fast light pulses to study materials, which makes it possible to observe the time evolution of luminescence quenching and thus provides additional information for static absorption and emission spectroscopy. This diploma thesis deals with the automation of the optical setup used in the Optical and Plasmonic Laboratory at Ceitec Nano for performing time-resolved spectroscopy. As part of the work, an application was created enabling communication with 13 devices used in the laboratory. The application automates already performed measurements, and in addition enables the scanning of samples, which was not possible due to time constraints due to the manual control of the stage movement. At the end of the work, test measurements are performed, with a discussion of their effectiveness and time savings for the user.

The thesis deals with the creation of a 3D model from data collected by laser scanning. The first part deals with the theoretical foundations of buildings information modeling and method of laser scanning. The rest of the work describes the detailed process from data collection to the creation of the model. Most of the space is devoted to work in the Revit software environment.

The diploma thesis describes the data integration of data from different 3D technologies, specifically data of close range photogrammetry, aerial photogrammetry using RPAS and terrestrial laser scanning. The thesis deals mainly with fotogrammetric processing in ContextCapture software and data integration in this software. The thesis also describes a construction of a calibration field. The points of the field were used as ground control points and check points during processing. The accuracy of the outputs was evaluated by statistical testing of the coordinate deviations of the control points. The result of the thesis is 3D model of one of the buildings located in the AdMaS research center.

This master's thesis is aimed how can be network traffic monitored using IP flows. The description of NEMEA framework that can be used to build complex intrusion detection system. Following chapters describes port scanning methods and SSH protocol which can be used for remote login to the system, which can be exploited by an attacker. These two areas are intended to be detected in a slow attack manner, when attacker using low attack speed, which he can evade multiple detection methods. Proposed method for detection such attacks is using information from the last few connections. Finally, proposed detection method results are further described.

An experimental methodology for wear assessment of extracted polyethylene hip implants was designed in this diploma thesis. Methodology uses optical 3D scanner and optical profilometer for analysis of wear. Designed methodology for wear analysis was validated by gravimetric method. The results of validation were in good agreement with the increase of wear rate. Validation results show that the methodology is not suited for wear assessment of metal and ceramic implants which have small wear rates. On the other hand the methodology is more than useful for wear assessment of polyethylene implants. Designed methodology for wear assessment was applied on the set of thirteen extracted polyethylene hip implants. Results of the wear analysis were wear volumes and linear wear noted in the wear maps. Roughness of the surface was measured on explanted cups and results were noted in the roughness map. On articulating surface of the cups different areas were observed for measured roughness. Those areas were described as area with machining marks from manufacturing process, polished area from combination of abrasive and adhesive wear, polished area from micro-contact fatigue and area including plastic deformation.

The thesis is divided into three main parts. The first section summarizes the theory of the issue. Here we are unified theoretical information about the various possibilities of different approaches. The result of this part is therefore a general summary of theoretical possible procedures of creation bone implant, where each are listed the advantages and disadvantages. The theoretical part also contains information that ultimately, in practice, the author did not use. But his idea was to create a comprehensive look at the issue from several angles. The second part uses theoretical knowledge from the previous set of information as a basis for defining the steps required to successfully manage the issues of bone 3D printing. The third part will follow the guidelines of both previous and focuses on practical making bones and subsequent evaluation method chosen. There are discussed various steps that led to the final conclusion, making bones and work is then focused on the evaluation of the success of selected procedures and recommendations for future action.

The use of optical scanning methods in geomorpho-analysis Abstract Main goal of this thesis is to find out if it is possible to use Structure from motion (SfM) method for analyzing geomorphological objects. Four geomorphological features in three different places within Pilsen-North region was used for testing this method. These objects with very dissimilar dimensions and shapes was scanned for this testing in various light conditions. All used data-sets was entirely created by author of this thesis. The data was initially processed by Agisoft Photoscan Professional Ediditon v1.1.6 and VisualSFM v0.5.26 to create spatial models. These models was afterwards processed in CloudCompare v2.6.1 and MeshLab v1.3.3. This software was used for clipping and merging of 3D models and for converting 3D models in to real dimensions. These real sized spatial models was then contrasted together by creating comparing entities. Outcomes are evaluated in the thesis conclusion. Keywords: Structure from motion (SfM), SIFT, RANSAC

Airborne laser scanning has already become an essential part of forest inventories in the Nordic countries and in Canada. However, its wider practical forestry application in the Central European countries is awaiting. In the first part of this thesis, a procedure for modelling of the basic stand variables, especially forest stand volume, was designed using an area-based approach. Not only linear regression was used for modelling but also machine learning (k-nearest neighbor algorithm, Random Forest, Support Vector Machine and neural networks). In the second part, the thesis deals with biomass estimation using the area-based approach and with comparison of the empirical and semi-empirical approaches to modelling. The third part deals with leaf area index (LAI) estimation using penetration indices and LiDAR metrics. The eLAI estimated by optical method is commonly used for model fitting in overwhelming majority of scientific papers. The benefit of this study is usage of LAI derived by destruction method (directly). The thesis as a whole has shown that the airborne laser scanning is also usable in a variety of forestry applications in Central European countries.

DTM Improvement in Sandstone Cliffs Relief using precise Co-registration of Airborne Laser Scanning Data Abstract The topic of this thesis is to design innovation of methodology improvement of digital terrain models from airborne laser scanning data in sandstone rocks rugged relief. Theoretical part of this thesis presents the Project GeNeSiS and New Elevation Model Project of the Czech Republic Territory, in which the test datasets were acquired. Simultaneously this section describes in detail methods of co-registrations datasets from strip adjustment to 3D least squares matching method, which have been published until now. In practical part of the work the Pravčická brána model region is introduced firstly. The focus of this section lays on description of new methodology for co-registration and classification of point clouds using spatial query. Co-registration of point clouds, respective detection transform parameters in this thesis is solved by introducing ground control areas. For each such region displacement and rotations in each axis are detected which subsequently determines the global transformation key. Innovation of the thesis lies in the fact that for DTM improvement there is sufficient only one point cloud. The second (and possibly others) point cloud is classified by presented algorithm...

Classification of road network from airborne laser scanning data and from remote sensing images with high resolution Abstract Object classification of land cover is currently one of the methods of remote Earth exploration. Road network classification only is unique because it is covered with anthropogenic material and has different characteristics than other elements of the landscape. This work deals with the possibility of using a combination of data from airborne laser scanning and high resolution optical data for detection of the road network in the specific area. The premise is that the use of two different types of data could provide better results, because airborne laser scanning data provide very precise information about the position and height of the point, while satellite data of very high resolution represent the real landscape. Searching for suitable features and classification rules for unambiguous determination of the road network is one of the objectives of the work. Segmentation parameters will also be important for object classification. Another objective is to verify the transferability of classification schemes into the other scene. The results should present a response on whether a procedure can be applied over a different location and also that the use of two types of data can bring...