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Srovnání názorů a postojů žáků středních odborných škol v oblasti návykových látek
Mazánková, Michaela ; Jirsáková, Jitka (vedoucí práce) ; Miroslava, Miroslava (oponent)
Bakalářská práce s názvem Srovnání názorů a postojů žáků středních odborných škol v oblasti návykových látek se zabývá srovnáním názorů a postojů žáků SOŠ a SOU na Obchodní akademii a Hotelové škole Havlíčkův Brod. První část je věnována obecné charakteristice rizikového chování, příčinami jeho vzniku, jednotlivými typy a prevencí rizikového chování. Analytická část je věnována vyhodnocení dotazníkového šetření a zjištěné výsledky porovnávají názory a postoje studentů SOŠ a SOU a poukazují na současný výskyt rizikového chování na zkoumané střední škole. Na základě vyhodnocených dat jsou v závěru práce navržena konkrétní preventivní opatření zvlášť pro studenty SOŠ a SOU.
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Predicting asp and pikeperch recruitment in a riverine redervoir.
BLABOLIL, Petr
Recruitment of two species, asp (Leuciscus aspius) and pikeperch (Sander lucioperca), in a riverine reservoir was studied using a novel statistical approach. Both species are piscivorous and are stocked into reservoirs for biomanipulative purposes to reduce planktivore species. Long-term data series were used, but the number of potential predictors was high. Therefore, a novel informative statistical approach based on dimension reduction methods was applied. Quality of outputs was driven by sampling methods. Main factors affecting asp recruitment were zooplankton abundance, predator density and temperature. In terms of pikeperch fry measured with seine and trawls, the number of predators was the only important factor. Gillnets underestimate small fish and the data were unsuitable for statistical modelling.
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Single particle analysis of size-segregated aerosol in Prague city center
Marvanová, S. ; Skoupý, Radim ; Kulich, P. ; Bendl, J. ; Hovorka, J. ; Machala, M.
Particulate matter (PM) is omnipresent pollutant in the ambient air known to cause cardiovascular and respiratory diseases (WHO 2004). Recently, outdoor air pollution and particulate matter in outdoor air pollution were classified as carcinogenic to humans, Group 1 (IARC 2015). Especially, ambient PM of aerodynamic diameter < 100 nm, ultrafine particles, appears to be of great importance due to its high specific surface area and high number concentration (Hughes et al. 1998). Ultrafine particles also easily enter and are being transferred in organisms, and interact with cells and subcellular components (Oberdorster et al. 2005). As the evidence of ultrafine PM significance increased, size-fractionated PMs sampled by various cascade impactors have been employed into the toxicological studies on cell cultures or isolated cells, using the organic extracts of size-fractionated PMs (Topinka et al. 2013, Topinka et al. 2015) or directly the size-fractionated particles (Becker et al. 2003, Ramgolam et al. 2009, Reibman et al. 2002, Loxham et al. 2013, Jalava et al. 2006, Thomson et al. 2015, Jalava et al. 2015). The aim of this study was to evaluate shape and composition of size-segregated aerosol particles, sampled by high volume cascade impactor, using electron microscopy and energy dispersive X-ray spectroscopy (EDX).
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Corrosion behavior of plasma coatings CuAl10 and CuAl50 on magnesium alloy AZ 91
Kubatík, Tomáš František ; Stoulil, J. ; Stehlíková, K. ; Slepička, P. ; Janata, Marek
The most common magnesium alloy AZ 91 is widely used as a structural material, but its use is limited at higher temperatures and high humidity. Plasma spraying is a technology that allows to prepare protective metallic and non-metallic coatings on a wide variety of substrates including magnesium and its alloys. In this study, CuAl10 and CuAl50 were plasma sprayed on magnesium alloy AZ 91 with the aim to study corrosion resistance of the plasma sprayed coatings. The corrosion resistance of layers was evaluated by the method of electrochemical potentiodynamic measurement as well as long-term corrosion tests in a condensation chamber with 0.5 mol\nNaCl at the temperature of 35 °C for 1344 hours. Layers with 1, 2, 5 passes and passes of CuAl10 with the thickness ranging from 75 to 716 mm and CuAl50 with the thickness ranging from 64 to 566 mm were prepared. The increased corrosion velocity was observed in the case of thin layers of 2 and 5 passes due to the development of a galvanic corrosion couple. The CuAl10 layer prepared with ten passes has an outstanding corrosion resistance.
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Reference optických kmitočtů
Hrabina, Jan
Reference optických kmitočtů založené na absorpčních kyvetách plněných absorpčními plyny představují účinný a nepostradatelný nástroj k realizaci a frekvenční stabilizaci laserových standardů. Jedním z nejčastěji používaných absorpčních médií je molekulární jód 127I2 .\nHlavním problémem použití tohoto média je jeho extrémní citlivost na přítomnost příměsí. Práce přináší přehled a srovnání možných měřicích metod pro kontrolu čistoty absorpčních kyvet v jak klasickém "bulk" tak i optovláknovém provedení.\n\n
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Možnosti monitorování laserového svařovacího procesu
Horník, Petr ; Mrňa, Libor
Se zvyšujícími se nároky na kvalitu svarů se běžně používá automatické strojní svařování s monitorováním procesu. Výsledná kvalita svaru je do značné míry ovlivněna chováním paroplynové dutiny - keyhole. Nicméně, její přímé pozorování během svařovacího procesu je prakticky nemožné a je nutné použít nepřímé metody. V ÚPT vyvíjíme optické metody sledování procesů založené na analýze záření laserem indukovaného plazmatu pomocí Fourierovy a autokorelační analýzy. Pozorovat vstupní otvor keyhole je částečně možné prostřednictvím koaxiální kamery umístěné na svařovací hlavě a následného zpracování obrazu. Vysokorychlostní boční kamera pomáhá pochopit dynamiku plazmového obláčku. Prostřednictvím optické spektroskopie plazmatu, lze studovat excitaci prvků v materiálu. Proud ochranné atmosféry může být vizualizován za použití schlierové metody.\n\n
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Noise, Transport and Structural Properties of High Energy Radiation Detectors Based on CdTe
Šik, Ondřej ; Lazar, Josef (oponent) ; Navrátil, Vladislav (oponent) ; Grmela, Lubomír (vedoucí práce)
Because of demands from space research, healthcare and nuclear safety industry, gamma and X-ray imaging and detection is rapidly growing topic of research. CdTe and its alloy CdZnTe are materials that are suitable to detect high energy photons in range from 10 keV to 500 keV. Their 1.46 -1.6 eV band gap gives the possibility of high resistivity (10^10-10^11 cm) crystals production that is high enough for room temperature X-ray detection and imaging. CdTe/CdZnTe detectors under various states of their defectiveness. Investigation of detector grade crystals, crystals with lower resistivity and enhanced polarization, detectors with asymmetry of electrical characteristics and thermally degenerated crystals were subject of my work in terms of analysis of their current stability, additional noise, electric field distribution and structural properties. The results of the noise analysis showed that enhanced concentration of defects resulted into change from monotonous spectrum of 1/f noise to spectrum that showed significant effects of generation-recombination mechanisms. Next important feature of deteriorated quality of investigated samples was higher increase of the noise power spectral density than 2 with increasing applied voltage. Structural and chemical analyses showed diffusion of metal material and trace elements deeper to the crystal bulk. Part of this work is also focused on surface modification by argon ion beam and its effect on chemical and morphological properties of the surface.
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New Methods for Increasing Efficiency and Speed of Functional Verification
Zachariášová, Marcela ; Dohnal, Jan (oponent) ; Steininger, Andreas (oponent) ; Kotásek, Zdeněk (vedoucí práce)
In the development of current hardware systems, e.g. embedded systems or computer hardware, new ways how to increase their reliability are highly investigated. One way how to tackle the issue of reliability is to increase the efficiency and the speed of verification processes that are performed in the early phases of the design cycle. In this Ph.D. thesis, the attention is focused on the verification approach called functional verification. Several challenges and problems connected with the efficiency and the speed of functional verification are identified and reflected in the goals of the Ph.D. thesis. The first goal focuses on the reduction of the simulation runtime when verifying complex hardware systems. The reason is that the simulation of inherently parallel hardware systems is very slow in comparison to the speed of real hardware. The optimization technique is proposed that moves the verified system into the FPGA acceleration board while the rest of the verification environment runs in simulation. By this single move, the simulation overhead can be significantly reduced. The second goal deals with manually written verification environments which represent a huge bottleneck in the verification productivity. However, it is not reasonable, because almost all verification environments have the same structure as they utilize libraries of basic components from the standard verification methodologies. They are only adjusted to the system that is verified. Therefore, the second optimization technique takes the high-level specification of the system and then automatically generates a comprehensive verification environment for this system. The third goal elaborates how the completeness of the verification process can be achieved using the intelligent automation. The completeness is measured by different coverage metrics and the verification is usually ended when a satisfying level of coverage is achieved. Therefore, the third optimization technique drives generation of input stimuli in order to activate multiple coverage points in the veri\-fied system and to enhance the overall coverage rate. As the main optimization tool the genetic algorithm is used, which is adopted for the functional verification purposes and its parameters are well-tuned for this domain. It is running in the background of the verification process, it analyses the coverage and it dynamically changes constraints of the stimuli generator. Constraints are represented by the probabilities using which particular values from the input domain are selected. The fourth goal discusses the re-usability of verification stimuli for regression testing and how these stimuli can be further optimized in order to speed-up the testing. It is quite common in verification that until a satisfying level of coverage is achieved, many redundant stimuli are evaluated as they are produced by pseudo-random generators. However, when creating optimal regression suites, redundancy is not needed anymore and can be removed. At the same time, it is important to retain the same level of coverage in order to check all the key properties of the system. The fourth optimization technique is also based on the genetic algorithm, but it is not integrated into the verification process but works offline after the verification is ended. It removes the redundancy from the original suite of stimuli very fast and effectively so the resulting verification runtime of the regression suite is significantly improved.
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Subspace Modeling of Prosodic Features for Speaker Verification
Kockmann, Marcel ; Kenny, Patrick (oponent) ; Nöth, Elmar (oponent) ; Černocký, Jan (vedoucí práce)
The thesis investigates into speaker verification by means of prosodic features. This includes an appropriate representation of speech by measurements of pitch, energy and duration of speech sounds. Two diverse parameterization methods are investigated: the first leads to a low-dimensional well-defined set, the second to a large-scale set of heterogeneous prosodic features. The first part of this work concentrates on the development of so called prosodic contour features. Different modeling techniques are developed and investigated, with a special focus on subspace modeling. The second part focuses on a novel subspace modeling technique for the heterogeneous large-scale prosodic features. The model is theoretically derived and experimentally evaluated on official NIST Speaker Recognition Evaluation tasks. Huge improvements over the current state-of-the-art in prosodic speaker verification were obtained. Eventually, a novel fusion method is presented to elegantly combine the two diverse prosodic systems. This technique can also be used to fuse the higher-level systems with a high-performing cepstral system, leading to further significant improvements.
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Acceleration of Object Detection Using Classifiers
Juránek, Roman ; Kälviäinen, Heikki (oponent) ; Sojka, Eduard (oponent) ; Zemčík, Pavel (vedoucí práce)
Detection of objects in computer vision is a complex task. One of most popular and well explored approaches is the use of statistical classifiers and scanning windows. In this approach, classifiers learned by AdaBoost algorithm (or some modification) are often used as they achieve low error rates, high detection rates and they are suitable for detection in real-time applications. Object detection run-time which uses such classifiers can be implemented by various methods and properties of underlying architecture can be used for speed-up of the detection. For the purpose of acceleration, graphics hardware, multi-core architectures, SIMD or other means can be used. The detection is often implemented on programmable hardware. The contribution of this thesis is to introduce an optimization technique which enhances object detection performance with respect to an user defined cost function. The optimization balances computations of previously learned classifiers between two or more run-time implementations in order to minimize the cost function. The optimization method is verified on a basic example -- division of a classifier to a pre-processing unit implemented in FPGA, and a post-processing unit in standard PC.
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