This paper describe design and implementation of SLAM algorithm for selflocalization and mapping in indoor environment using data from laser scanner. Design is focused on 2D variant of SLAM, but parts is purposely reliazed to be usable in 3D SLAM. This ability is demonstrated at the end of paper.

ROZBOŘIL, T. Passportization of point objects using QGIS. Master thesis. Brno 2017. Passportization of real objects is one of the basic processes in the asset register of municipal government, companies, etc. The main goal of this thesis is to create a process through which will be possible to map the point objects in the terrain, then modify these objects, and at least visualize the results through web services. For the preparation of this work are used only open-source tools and applications those were described and tested. In conclusion is mentioned best tested solution.

The main objective of this thesis is to create a database of avenues and rows of trees in the region of Vranovsko and in a part of Znojemsko region as a part of a project of mapping and inventory of avenues and rows of trees by the ecologic initiative Arnika. The theoretical part, based on information retrieval, focuses on the planting and subsequent care of avenues, provides historical context and describes the current situation and its legal background. The terrain work followed the given methodology of Arnika initiative, its outcomes will become a background for planning of maintenance and care of avenues and rows of trees in the region.

The thesis evaluates the birdlife preferences of the common house martin in the territory of the Czech Republic. The survey of the literature focuses on obtaining information from available sources that relate to nesting preferences according to different criteria, such as environmental habitat conditions, influence of the human factor, and others. In the practical part of the thesis 12094 records have been collected concerning the nesting of the common house martin in the Czech Republic in the period from 2009 to 2017, drawn from the faunistic database of the Czech Society for Ornithology. The data was correlated with the data on the conditions found in the separate habitats and analysed by the statistical methods Boosted regression trees (BRT) and Generalized Least Squares (GLS). The obtained results show that owing to the insect life the common house martin most prefers the areas with field and wetland ecosystems, and rather also the suburban lowland region. A major negative influence on the common house martin appeared to be mining areas in industrial estate.

The thesis deals with evaluation of the Volyňka river network modification on the basis of field survey, and identification of critical stream segments, which may influence course of flood events by means of GIS analysis. Two extreme floods took place in the Volyňka river basin in the years 2002 and 2009. The paper evaluates causes, course of events and effects of the floods. To get information about river network modification the HEM-F fiels survey methodology was used. The whole stream of Volyňka river was investigated from its spring to Volyně town, the tributaries in the upper part of the Volyňka river basin and the stream Spůlka. Intensity of stream modificatin and flood effects character were evaluated and critical sections were indentified on the basis of the mapping results. The potential flow obstacles are the most frequent type of critical modification of the stream. Especially the unsufficiently designed bridges, weirs and culverts cause the most intensive damage and geomophological effects of the flood. Individual kinds of obstacles are typical for certain sections of the river flow. Modifications limitating use of retention potential of the floodplain are often present in the central and lower parts of the Volyňka river basin. In several critical stream segments there were proposed...

Precision agriculture is an agronomic approach that aims to optimize inputs into agricultural production to achieve balanced, qualitatively and quantitatively the best possible yields, while minimizing the financial costs and maintain or improve the environment. The basic premise of this approach is the knowledge of soil conditions of land used for agricultural production. This information can be found in agronomic records, soil maps or results of agrochemical testing. Indirect methods of soil heterogeneity mapping based on the principle of sensor measurements and remote sensing are also available. Indirect methods for determining the physical-chemical properties of soil are generally user-friendly, cheaper, faster, and have a higher density of measurement points than the sampling of soils. Comparison of direct and indirect methods showed that indirect methods provide a detailed picture of soil variability. However, interpretation of results is affected by many other factors, which are based in the principle of soil het-erogeneity itself.

This dissertation deals with unmaned aerial vehicles and their use in an accurate photogrammetric mapping. The very first part of my thesis describes a history of UAV (unmaned aerial vehicles) and a theoretical introduction of the issue. In the second part of this thesis a specific example of mapping agricultural area with a missing building in cadastral map is solved. The disertation is focused on an aerial photo-shooting and then on matching the pictures in the software Agisoft Photo Scan. The result of the work is a detailed ortophoto map of the agricultural area where the missing building is exactly positionally determined.

The content of this thesis is to introduce with the issues taught in the course MGMP and create tutorials and 3D models in Blender for computer exercises of course MGMP. The first part is devoted to some similar courses taught at universities in the Czech Republic. Another parts are dealing with the method of Catmull-Clark subdivision surfaces, texture mapping issues, issues of curves and animation of objects with using curves. The last part is about shading 3D models and about various methods which have been developed and are in use to this day. The output of work are video tutorials and models for MGMP course, dealing with different parts of the thesis.

This thesis is focused on the conceptualisation of emotions in Czech Sign Language with the emphasis on the linguistic conceptualisation of anger. At the beginning the author reveals basic theoretical issues of the cognitive linguistics of spoken and sign linguistics. Afterwards she presents some general facts about metaphor and metonymy in spoken and sign languages - with the main focus on the metaphorical-metonymic conceptualisation of anger - and shows metaphors and metonymies of anger in the English, Polish and Czech language. The core of the thesis consists of the linguistic research of anger in Czech Sign Language. The author identifies basic metaphors and metonymies of the concept of ANGER in Czech Sign Language within the empirically gained linguistic material. The gained data from all four languages are compared and presented in a table at the end of this paper. Key words: cognitive linguistics, emotions, conceptualisation of emotions, the concept of ANGER, Czech Sign Language, metaphor, metonymy, metaphorical mapping, iconic mapping, iconic-metaphorical mapping.

Ontology Matching is one of the hottest topic within the Semantic Web of recent years. There is still ample of space for improvement in terms of performance. Furthermore, current ontology matchers mostly concentrate on simple entity to entity matching. However, matching of whole structures could bring some additional complex relationships. These structures of ontologies can be captured as ontology patterns. The main theme of this thesis is an examination of pattern-based ontology matching enhanced with ontology transformation and pattern-based ontology alignment evaluation. The former is examined due to its potential benefits regarding complex matching and matching as such. The latter is examined because complex hypotheses could be beneficial feedback as complement to traditional evaluation methods. These two tasks are related to four different topics: ontology patterns, ontology transformation, ontology alignment evaluation and ontology matching. With regard to those four topics, this work covers the following aspects: * Examination of different aspects of ontology patterns. Particularly, description of relevant ontology patterns for ontology transformation and for ontology matching (such as naming, matching and transformation patterns). * Description of a pattern-based method for ontology transformation. * Introduction of new methods for an alignment evaluation; including using patterns as a complex structures for more detailed analysis. * Experiments and demonstrations of new concepts introduced in this thesis. The thesis first introduces naming pattern and matching pattern classification on which ontology transformation framework is based. Naming patterns are useful for detection of ontology patterns and for generation of new names for entities. Matching patterns are basis for transformation patterns in terms of sharing some building blocks. In comparison with matching patterns, transformation patterns have transformation links that represent way how parts of ontology patterns are transformed. Besides several evaluations and implementations, the thesis provides a demonstration of getting complex matching due to ontology transformation process. Ontology transformation framework has been implemented in Java environment where all generic patterns are represented as corresponding Java objects. Three main implemented services are made generally available as RESTful services: ontology pattern detection, transformation instruction generation and ontology transformation.