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Orthopaedic and prosthetic care in patients with diabetic foot syndrome
Rabiňák, Vojtěch ; Šolc, Zdeněk (advisor) ; Půlpán, Rudolf (referee)
Práce popisuje problematiku syndromu diabetické nohy, možnosti léčby a zejména protetické řešení této problematiky. Snahou je utřídění protetických pomůcek podle stavu pacienta tak, aby bylo možné využít teoretické znalosti k řešení konkrétních situací. Abstract: This thesis describes the issue of the syndrome of diabetic foot, possibilities of its treatment and mainly its prosthetic solutions. The aim is to classify prosthetic supplies according to the state of the patient. This theoretic information could be used in solving each particular situation. Klíčová slova: kalceotika, vložky do bot, odlehčovací ortézy, utřídění Key words: calceotics, insoles, relieving orthoses, classification
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Possibilities of remote sensing in grassland vegetation and management interventions monitoring in the Giant Mountains
Pomahačová, Michaela ; Kupková, Lucie (advisor) ; Hais, Martin (referee)
Possibilities of remote sensing in grassland vegetation and management interventions monitoring in the Giant Mountains Abstract The aim of this thesis was to evaluate suitability of WorldView-2 imagery for grassland associations classification in the model area of Giant Mountains. The classification was based both on the legend compiled by a botanist, and on the legend of Natura 2000. In order to eliminate the effects of other types of land cover on the classification accuracy, a mask of grasslands was created. Using discriminant analysis, the significance of spectral bands of WorldView-2, as well as signifikance of selected vegetation indices and components from Principal Component Analysis (PCA) - to distinguish particular classes of grassland vegetation were evaluated. Based on the results of discriminant analysis, classifications using neural networks method and also maximum likelihood method were performed in ENVI 4.7 version software. The results of the both method were compared Key words: remote sensing, meadows association, classification, Giant mountains, WorldView 2
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Interlingual Homonyms in Czech - Russian Comparative Frame
Hasan, Natalia ; Rozboudová, Lenka (advisor) ; Žofková, Hana (referee)
This bachelor thesis deals with interlingual Czech-Russian homonyms and their typology. The theoretical part of the thesis is concerned with paradigmatic relations, namely with antonymy, synonymy, polysemy and paronymy where an individual chapter devoted to the clarification and classification of homonyms and interlingual homonyms as such. The practical part consists of a dictionary of interlingual Czech-Russian homonyms. Each homonymic pair is given in a separate table in order to create a well-arranged system. The examples of sentences or collocations, which the given entries contain, are also presented in each table. The aim of the thesis is to create a dictionary of interlingual Czech-Russian homonyms which could be used as a tool in teaching Russian. It also presents a theoretical overview of interlingual homonymy with focus on Czech-Russian comparative perspective.
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Evaluation of global changes of forest land based on remote sensing
Hladká, Anna ; Štych, Přemysl (advisor) ; Kupková, Lucie (referee)
Evaluation of global changes in forest area based on remote sensing data Abstract: The aim of this project is using remote sensing data to assess change in global forest area. This work should give the outline of the principles of land cover classification, with a focus on forests based on satellite images, but also show a real solution in the evaluation of changes in forest areas in two selected regions. The first part is performed a literature review of all aspects of this sub-topic from the basic principles of remote sensing across the typology and characteristics of satellite sensors, which are giving the satellite images to land cover classification systems and characteristics of forest area. The next section describes the basic procedure for classification of satellite imagery and its possible variants. In my work there are explain the image corrections, the supervised and unsupervised classification, the method of checking the accuracy of classification or use of software. Selected area for my work was Riau in Indonesia and state of Oregon, USA. To these regions there are demonstrated practical procedure for classifying land cover and then its changes from the forest areas. In conclusion of my work the results are discussed and compared with available land cover databases. Key Words: Remote Sensing,...
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Tick-borne encephalitis risk assessment based on classification of vegetation from remote sensing data
Červená, Lucie ; Potůčková, Markéta (advisor) ; Pavelka, Karel (referee)
Tick-borne encephalitis risk assessment based on classification of vegetation from remote sensing data Abstract The main aim of this thesis has been to find out how to classify various categories of forest vegetation with a different risk of exposure to the tick-borne encephalitis based on the Landsat imagery. The legend used here is derived from the one used in the projects by Daniel, Kolář, Zeman (1995) and Daniel, Kolář, Beneš (1999) but has been reduced to only five classses with no overlaps in their definitions (I. coniferous stands, II. mixed stands, III. young deciduous stands and stand ecotones with a highly heterogeneous structure, IV. deciduous stands with a homogeneous structure, V. deciduous stands with a heterogeneous structure). The supervised classification with the Maximum Likelihood Classifier has been used on the Landsat imagery from various seasons. Difficulties concerned with the presence of clouds and varying Sun elevation across the imagery had to be adressed in the course of the work. The training sites and the control points have been defined by the field research and interpretation of the relevant orthophotomaps and Landsat imagery in 5-4-3 RGB composite. The mask of the forest has been created on the ZABAGED data basis. The time horizon of 2006 - 2010 has been the primary focus....
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Comparison of logistic regression and decision trees
Raadová, Zuzana ; Voříšek, Jan (advisor) ; Komárek, Arnošt (referee)
In this thesis we describe a classification of the binary data. For discussing this problem we use two well-known methods - logistic regression and decision trees. These methods deal with the problem in different way, so our aim is to compare a successfulness of their predictions. At first a model of logistic regression is introduced and we show how to estimate its parameters using a method of maximum likelihood. Then we describe decision trees as one of the most popular classification tools. There are discussed older classic algorithms CART and C4.5 and also two new algorithms GUEST and CRUISE. The predictions of both of the methods are shown on a real data example.
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Gravitation in higher dimensions
Kubíček, Jan ; Pravdová, Alena (advisor) ; Žofka, Martin (referee)
The thesis starts with a brief introduction to the algebraic classificati- on of tensors and spacetimes in higher dimensions. Attempts to generalize the Goldberg-Sachs theorem are also discussed. There is a summary of main results for optical matrices of algebraically special spacetimes in higher dimensions. The optical matrix for a type III spacetime in six dimensions is found using Bianchi identities. A few properties of type III optical matrices in a general dimension are also found. Various properties of equations obtained from Bianchi identities for type III spacetimes are studied in appendices. 1
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Evaluation and classification in academic physical education
Lonská, Julie ; Fialová, Ludmila (advisor) ; Tilinger, Pavel (referee)
Title: Evaluation and classification in academic physical education Goals: The main goal of this work is to analyze the opinion of the current teachers of physical education on the methods of evaluation and classification in academic physical education within elementary and high schools. How is the relation of the tutors towards classification and verbal evaluation of the students within physical education and what are their main criteria for evaluation. Further, evaluate students questionnaires related to their opinion on given classification. Methodology: The methodology used in this work was a research questionnaire within 20 schools in Prague (10 elementary and 10 high). The first questionnaire, which was created for teachers, had 40 questions where the first 36 had a closed form and the remaining 4 questions had an open form, where respondents answered with their own opinion. The second questionnaire was created for students and had 39 questions. Only one answer was possible for each question. Only the last question had an open form. The questionnaire was focused on the ways of the evaluation of students within physical education, criteria for classification within physical education, scarcities and priorities of these ways of evaluation. Results: It was proven from the analysis of the results...
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