This thesis deals with development of multiplatform mobile applications. Part of the thesis is the design and implementation of a mobile application to facilitate the orientation of people in a large university environment. The application is designed for Android and iOS mobile operating systems and is implemented in the Ionic development environment. The application provides basic information about individual buildings of the university, displays buildings on the map and allows the user to navigate these buildings.

This master‘s thesis deals with using surface texture parameters for conformity assessment and process control. The aim of the thesis was to create an overview of surface texture parameters, an overview of procedures for conformity assessment and process control using surface texture parameters, practical application on an industrial product and practical recommendations. The thesis includes an overview of profile and areal surface texture parameters, including an original translation of terms of the areal method. Methods of conformity assessment and process control in connection with the surface texture parameters are also described. Statistical analysis was performed based on 7200 values of surface parameters and 1843200 values of profile parameters which were measured on parts from serial production. The last chapter includes practical recommendations.

This thesis focuses on a measuring and topography of a components´ surface evaluation and it contains the overview of basic methods which includes the description of contact and non-contact measuring devices. Furthermore, the thesis also describes ways of surface texture evaluation through profiled and areal method, including an outline of ČSN ISO parameters. The practical part of the thesis focuses on the evaluation of metric threads´ M10 surface, crafted by diverse cutting and forming threads. The surface was scanned with the optical device called Alicona IFM G5 and it was evaluated through the profiled and areal method. The 2D and 3D parameters were acquired and then compared during the measuring.

Mit der Fachtagung „Die Schwarzpappel und ihre Lebensräume in Sachsen“ will der NABU Sachsen dazu beitragen, dass das Wissen um die Schwarzpappel und ihre Lebensräume stärker in das Bewusstsein der Öffentlichkeit gerät, die Akteure im Projekt zur Erhaltung und Wiedereinbringung der Schwarzpappel in Sachsen einander näherkommen und die gemeinsamen Anstrengungen zum Schutz der Schwarzpappel an unseren Fließgewässern intensiviert werden.

Civil freestanding areal, with main building and two fields (small and normal foofball fields) Bulding have 2 parts. Parts of original is reconstruction and adjustment 2 floors. Second building is completly now, both of this parts are cross connection on the 3rd floor. Construction of foundation are strapped foting and on strip foundation. Ytong brick, hangr Spiroll . Roof is flat. Civil part of building are using for invalid people.

<p>Saturated hydraulic conductivity (<em>K</em>_<em>s</em>) is among the most important soil properties that influence the partitioning of rainfall into surface and subsurface waters and is needed for understanding and modeling hydrologic processes at the field-scale. Field-scale variability of <em>K</em>_<em>s</em> is often represented as a lognormal random field, and its parameters are assessed either by making local- or point-scale measurements using instruments such as permeameters and infiltrometers or by calibrating probabilistic models with field-scale infiltration experiments under natural/artificial rainfall conditions. This research quantifies the uncertainty in the <em>K</em>_<em>s</em> random field when using observations from the above techniques and provides recommendations as to what constitutes a good experiment to assess the field-scale variability of <em>K</em>_<em>s</em>. Infiltration experiments with instruments sampling larger areas (or volumes) are typically expected to be more representative of field conditions than those sampling smaller ones; hence, the uncertainty arising from the field-scale natural rainfall-runoff experiments was evaluated first. A field-averaged infiltration model and Monte Carlo simulations were employed in a Bayesian framework to obtain the possible <em>K</em>_<em>s</em> random fields that would describe experimental observations over a field for a rainfall event. Results suggested the existence of numerous parameter combinations that could satisfy the experimental observations over a single rainfall event, and high variability of these combinations among different events, thereby providing insights regarding the identifiable space of <em>K</em>_<em>s</em> distributions from individual rainfall experiments. The non-unique parameter combinations from multiple rainfall events were subsequently consolidated using an information-theoretic measure, which provided a realistic estimate of our ability to quantify the spatial variability of <em>K</em>_<em>s</em> in natural fields using rainfall-runoff experiments. </p> <p>  </p> <p>With the resolving ability from rainfall-runoff experiments constrained due to experimental limitations, the <em>K</em>_<em>s</em> estimates from in-situ point infiltration devices could provide additional information in conjunction with the rainfall-runoff experiments. With this hypothesis, the role of three in-situ point infiltration devices --- the double-ring infiltrometer, CSIRO version of tension permeameter, and Guelph constant-head permeameter --- was then evaluated in characterizing the field-scale variability of <em>K</em>_<em>s</em>. Results suggested that <em>K</em>_<em>s</em> estimates from none of the instruments could individually represent the field conditions due to the presence of measurement and structural errors besides any sampling biases; hence any naive efforts at assimilating their data (e.g., data pooling, instrument-specific transforms, etc.) and augmenting with field-scale rainfall-runoff observations as informative prior distributions would not be fruitful. In the absence of benchmarks establishing the true <em>K</em>_<em>s</em> field, it is also impossible to quantify these errors; therefore, a posterior coarsening method was used to alleviate their impact when estimating the field-scale variability of <em>K</em>_<em>s</em>. </p> <p>  </p> <p>Finally, the impact of censored moments on the maximum likelihood (ML) estimates of the <em>K</em>_<em>s</em> distribution parameters was studied. Results highlighted the rainfall event's ability to only be able to resolve a fraction of the <em>K</em>_<em>s</em> field, and that the time and duration of peak rainfall intensity play a role in resolving the <em>K</em>_<em>s</em> field, besides the peak rainfall intensity. The reliability of the ML estimates is a function of the fraction of the <em>K</em>_<em>s</em> field resolved by the rainfall event, until a limit when the estimates start to overfit the calibration data. Rainfall-runoff experiments for which the ML estimates resolve 30--80 % of the <em>K</em>_<em>s</em> distribution are likely to be good calibration events. </p>

The main idea was to create dignified and functional building of new museum with captivating exposition and also with functions such as laboratiories, workshops and depsitory and thus serve the whole process of archeological work. To provide the area with demanding visitor supply are also designed functions such as wellness, restaurant and tourist accomodation. Also accomodation for emplyees is designed and could be rent for visitors when not used. The whole area should create new center in Znojmo Hradiště.

Canine center offering a hinterland for the most common dog sports and competitions including traning and competition hall, kennel and services for dog owners.

No description available.

Health studies often rely on aggregated instead of individual-level data to protect patient privacy. However, aggregated data are subject to the modifiable areal unit problem (MAUP), meaning results of statistical analyses may differ depending on the data's scale and areal unit. Past studies have suggested MAUP is context-specific and analyzing multiple spatial scales may provide richer understandings of examined phenomena. More research is needed to understand the role of scale and areal unit in health-related analyses. This study examines associations between surface mining and birth outcomes from 1989 to 2015 in Central Appalachia at the individual; postal; county; and county-sized, non-administrative scales. Evidence from previous studies suggests associations exist between health outcomes and county-level measures of mining activity. This is the first study to examine associations between mining and birth outcomes at more spatially refined exposure estimates. We identified surface mines using Landsat imagery and geocoded birth records. Airsheds, used to quantify the influence area of potential airborne pollutants from surface mining activity, were built using HYSPLIT4. The frequency values of each airshed that intersected each geocoded birth record were summed. These cumulative frequency airshed values were then aggregated. Finally, we implemented multiple regression models, each at a different scale, to examine associations between airsheds and birth outcomes. Results suggest MAUP has minimal impacts on the statistical results of examining associations between surface mining and birth outcomes in Central Appalachia. Results also indicate surface mining is significantly associated with preterm birth and reduced birthweight at each scale. / Master of Science / Health studies often rely on data that has been grouped together within political boundaries (e.g. counties) instead of individual-level data to protect patient privacy. However, results from analyses using grouped data may differ depending on the data's scale and areal unit, which describes the modifiable areal unit problem (MAUP). Past studies have suggested MAUP is specific to the situation being analyzed and examining multiple scales may provide richer understandings of the situation. More research is needed to understand the role of scale and areal unit choice in health-related analyses. This study examines associations between surface mining and birth outcomes from 1989 to 2015 in Central Appalachia at the individual; postal; county; and county-sized, non-administrative scales. Evidence from previous studies suggests associations exist between health outcomes and county-level measures of mining activity. This is the first study to examine associations between mining and birth outcomes at finer scales. Surface mines were identified using satellite images, and we identified the locations of birth records using the mother's home address. Airsheds, used to determine the influence area of airborne pollutants from surface mining activity, were created. We then used statistical models, to examine associations between airsheds and birth outcomes at four spatial scales. Results suggest MAUP has minimal impacts on the statistical results of examining associations between surface mining and birth outcomes in Central Appalachia. Results also indicate surface mining is significantly associated with preterm birth and decreased birthweight in grams at each scale.