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Personal diagnostics-measurement methods of current and perspective staffs
Rýdlová, Michaela ; Šnýdrová, Ivana (advisor) ; Eger, Ludvík (referee)
The dissertation is focused on personnel diagnostics. It understands it as an instrument, which helps the company to choose the best employees, to compare an actual profile of personality of a candidate or an employee with an ideal profile of position, which is needed to fill, and to assess the potential of employees. It concentrates on methods of personnel diagnostics. It uses the classification of psychodiagnostic methods after Mojmír Svoboda. It describes two of three groups of diagnostic methods, which can be used in human resources management. They are clinical methods and testing. There are characteristics of all subsets of this classification. There are described other methods, which are used in HR management most frequently. The intention of the dissertation is to find and describe the diagnostic methods, which can be used in practice by personnel clerks without university degree in psychology or without practice. For these purposes there are described methods like interview, Thematic Apperception Cards after Evangelu, Myers-Briggs Type Indicator (MBTI) and technique of Pack of Personnel Cards after Evangelu. Besides from description of these methods there are recommendations for using them in practice. In the end the author thinks about current situation of using of personnel diagnostics...
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Use of hyperspectral data for detection and classification of selected anthropogenic materials
Novotná, Kateřina ; Kupková, Lucie (advisor) ; Batistová, Jana (referee)
The thesis deals with use of hyperspectral data from APEX and AISA sensors for detection and classification of anthropogenic materials in the areas of Čáslav, Rokytnice nad Jizerou and Harrachov. The main goal is to propose methodology for the detection and classification of roof materials and road surface materials based on established spectral libraries. Another goal is to evaluate applicability of spectral libraries for classification, to compare possibilities of hyperspectral data with larger and smaller spectral range and to create maps of anthropogenic materials above. The methodological approach including masks of anthropogenic materials for roads surface materials and roof materials creation, settings of four classifications algorithms (Linear Spectral Unmixing, Multiple endmember spectral mixture analysis, Spectral Angle Mapper, Spectral Information Divergence) parameters and assessment of classification results, is in the methodology part. The results are visualized and evaluated using overall accuracy and percentage of classified pixels. Finally the results are compared with existing studies and possible improvements for further research are proposed. Powered by TCPDF (www.tcpdf.org)
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Hyperspectral data for classification of alpine treeless vegetation in the Krkonoše Mts.
Andrštová, Martina ; Kupková, Lucie (advisor) ; Potůčková, Markéta (referee)
Hyperspectral data for classification of vegetation of alpine treeless in the Krkonoše Mts. ABSTRACT The Master Thesis is a part of the HyMountEcos project, which deals with a complex evaluation of mountain's ecosystems in the Giant Mountains National Park using the hyperspectral data. The area of interest is alpine treeless in the Giant Mountains National Park. The main goal of this thesis was to create detailed methodology for classification of vegetation cover using hyperspectral data from AISA DUAL and APEX sensors, to find a classification method, which would improve the accuracy of the results compared to those found in the literature, and to compare the accuracy reached with these two types of the data. Many different classification algorithms (Spectral Angle Mapper, Linear Spectral Unmixing, Support Vector Machine, MESMA a Neural Net) were applied and the classification results were statistically evaluated and compared in the next part of the work. The classification method Neural Net was found as the most accurate one, as it gives the most accurate results for APEX data (the overall accuracy 96 %, Kappa coefficient 0,95) as well as for AISA DUAL data (the overall accuracy 90 %, Kappa coefficient 0,88). The resulting accuracy of the classification (the overall one and also for some classes) reached...
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Laboratory and image spectroscopy for mapping of selected rocks in peak areas of the Krkonoše Mountains
Kubečková, Jana ; Kupková, Lucie (advisor) ; Potůčková, Markéta (referee)
Laboratory and image spectroscopy for mapping of selected rocks in peak areas of the Krkonoše Mountains Abstract This thesis deals with geological mapping of selected rocks in peak areas of the Krkonoše Mountains. Four areas of interest were situated in two parts of Krkonše Mountains - on the west side it is the area of Vysoké kolo and Harrachovy kameny and on the east side there is the area of Sněžka and the area of Kozí hřbety. The main data were acquired by the hyperspectral sensor APEX. Ground spectral measurments of selected rocks and block fields were executed and the laboratory spectral measurments of geological samples and lichens were executed. Practical part aims at classification of rocks and lichens in selected areas using four classification methods: SAM, SID, MESMA and LSU. The spectral library is one of the outputs of this thesis. This spectral library contains the spectra of pure rocks and lichens and mixtured spectra of rocks and lichens. The output of this thesis is the comparation of used classification methods, the analysis of spatial and geological accuracy and evaluation of lichens influence on the classification results, spectral library and maps of classified rocks occurrence. Keywords: classification, block fields, hyperspectral data, spectral mixture, lichens, The Krkonoše Mountains
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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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