Developing environmental sensitivity through the fine art

Práce je zaměřena na hledání cest jak rozvíjet environmentální senzitivitu skrze výtvarné umění, a to zejména skrze malbu nebo kresbu a práci s vlastním tělem. Autor usiluje o to, jak citlivěji vnímat své všední okolí, niterněji prožívat svou přítomnost v něm a zároveň být schopný své prožívání racionálně reflektovat. To by mělo vytvářet v člověku osobní vztah k prostředí a podněcovat k proenvironmentálnímu chování. Práce směřuje skrze teoretický exkurz do problematiky a autorský umělecký výzkum k rozvoji výtvarné metody, kterou autor uplatňuje ve své umělecko-zážitkové akci.The thesis is focused on searching for the ways, how to develop environmental sensitivity through the fine art, specifically painting or drawing and work with own body. Author strives about how to perceive own everyday surroundings more sensitively, to experience own presence in it more deeply and also to be able to rationally reflect own experience. This should make in a man personal relationship to the environment and stimulate pro-environmental behavior. The work is directed through theoretical excursion to the issue and author's art research to development the art method that author applies in his art-experiential action.Katedra výtvarné výchovyPedagogická fakultaFaculty of Educatio

Optimization of track section Krahulov - Okříšky km 58,8-61,1

Tato bakalářská práce se zabývá optimalizací geometrických parametrů koleje na vybraném traťovém úseku a zvýšením traťové rychlosti na maximální možnou hodnotu. Cílem práce je také návrh železničního svršku a návrh obnovy odvodnění včetně technologie prací. Práce dále řeší rozhledové poměry na přejezdech.The Bachelor’s thesis is devoted to optimization of track geometry parametres at chosen track section and deals with increasing track speed up to maximum. The objective of Bachelor’s thesis is a design of superstructure and a design of drainage renewal including working technology. The Bachelor’s thesis deals also with view conditions at level crossings.

Estimation of Single-Gaussian and Gaussian mixture models for pattern recognition

Single-Gaussian and Gaussian-Mixture Models are utilized in various pattern recognition tasks. The model parameters are estimated usually via Maximum Likelihood Estimation (MLE) with respect to available training data. However, if only small amount of training data is available, the resulting model will not generalize well. Loosely speaking, classification performance given an unseen test set may be poor. In this paper, we propose a novel estimation technique of the model variances. Once the variances were estimated using MLE, they are multiplied by a scaling factor, which reflects the amount of uncertainty present in the limited sample set. The optimal value of the scaling factor is based on the Kullback-Leibler criterion and on the assumption that the training and test sets are sampled from the same source distribution. In addition, in the case of GMM, the proper number of components can be determined

Monitoring of Wild Animal Species in the Czech Republic

AbstractIn the paper, the method of data collection, processing and visualization of the occurrence of non-indigenous and endangered animal species in the Czech Republic is described. Our new software enables easy data entry about the observation of monitored species to the expert public. The data obtained is then used by expert and scientific institutions in order to search for optimal solutions of nature protection and population management and results are open to the public.This analytic and software solution was developed by the Department of Information Technologies, Czech University of Life Sciences; the data has been also used by the Forestry and Wood Faculty and the Faculty of Life Sciences

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Mono-\u3cem\u3eN\u3c/em\u3e-acyl-2,6-diaminopimelic Acid Derivatives: Analysis by Electromigration and Spectroscopic Methods and Examination of Enzyme Inhibitory Activity

Thirteen mono-N-acyl derivatives of 2,6-diaminopimelic acid (DAP)—new potential inhibitors of the dapE-encoded N-succinyl-l,l-diaminopimelic acid desuccinylase (DapE; EC 3.5.1.18)—were analyzed and characterized by infrared (IR) and nuclear magnetic resonance (NMR) spectroscopies and two capillary electromigration methods: capillary zone electrophoresis (CZE) and micellar electrokinetic chromatography (MEKC). Structural features of DAP derivatives were characterized by IR and NMR spectroscopies, whereas CZE and MEKC were applied to evaluate their purity and to investigate their electromigration properties. Effective electrophoretic mobilities of these compounds were determined by CZE in acidic and alkaline background electrolytes (BGEs) and by MEKC in acidic and alkaline BGEs containing a pseudostationary phase of anionic detergent sodium dodecyl sulfate (SDS) or cationic detergent cetyltrimethylammonium bromide (CTAB). The best separation of DAP derivatives, including diastereomers of some of them, was achieved by MEKC in an acidic BGE (500 mM acetic acid [pH 2.54] and 60 mM SDS). All DAP derivatives were examined for their ability to inhibit catalytic activity of DapE from Haemophilus influenzae (HiDapE) and ArgE from Escherichia coli (EcArgE). None of these DAP derivatives worked as an effective inhibitor of HiDapE, but one derivative—N-fumaryl, Me-ester-DAP—was found to be a moderate inhibitor of EcArgE, thereby providing a promising lead structure for further studies on ArgE inhibitors

Spatial risk analysis in the town of Kyjov

This article deals with the issues of risk mapping using the geographic information system. These issues are described employing a case study conducted in the town of Kyjov. The case study is focused on the principle of risk mapping, which consists of the creation of a vulnerability map, threat map and the resulting risk map. The paper demonstrates the use of spatial risk mapping method for the risk analysis. The case study presented in this article justifies the hypothesis of the suitability of the GIS for the purposes of risk mapping. In addition, the case study carried out in Kyjov maps individual types of vulnerability, in other words the major assets in the territory. Furthermore, the article deals with mapping the threats in this town. On the basis of obtained data and the maps of vulnerability and threats the case study also presents the creation of the resulting risk map. Generally, the article verifies the hypothesis of using the risk mapping method for the needs of risk analysis in municipalities. © 2017, World Scientific and Engineering Academy and Society. All rights reserved.IGA/FLKR/2017/003, UTB, Univerzita Tomáše Bati ve Zlín

Magnetic and dielectric properties of multiferroic Eu0.5Ba0.25Sr0.25TiO3 ceramics

Dielectric and magnetic properties of Eu0.5Ba0.25Sr0.25TiO3 are investigated between 10 K and 300 K in the frequency range from 10 Hz to 100 THz. A peak in permittivity revealed near 130 K and observed ferroelectric hysteresis loops prove the ferroelectric order below thistemperature. The peak in permittivity is given mainly by softening of the lowest frequency polar phonon (soft mode revealed in THz and IR spectra) that demonstrates displacive character of the phase transition. Room-temperature X-ray diffraction analysis reveals cubic structure, but the IR reflectivity spectra give evidence of a lower crystal structure, presumably tetragonal I4/mcm with tilted oxygen octahedra as it has been observed in EuTiO3. The magnetic measurements show that the antiferromagnetic order occurs below 1.8 K. Eu0.5Ba0.25Sr0.25TiO3 has three times lower coercive field than Eu0.5Ba0.5TiO3, therefore we propose this system for measurements of electric dipole moment of electron.Comment: Phase Transitions, in pres

A practical multirobot localization system

We present a fast and precise vision-based software intended for multiple robot localization. The core component of the software is a novel and efficient algorithm for black and white pattern detection. The method is robust to variable lighting conditions, achieves sub-pixel precision and its computational complexity is independent of the processed image size. With off-the-shelf computational equipment and low-cost cameras, the core algorithm is able to process hundreds of images per second while tracking hundreds of objects with a millimeter precision. In addition, we present the method's mathematical model, which allows to estimate the expected localization precision, area of coverage, and processing speed from the camera's intrinsic parameters and hardware's processing capacity. The correctness of the presented model and performance of the algorithm in real-world conditions is verified in several experiments. Apart from the method description, we also make its source code public at \emph{http://purl.org/robotics/whycon}; so, it can be used as an enabling technology for various mobile robotic problems