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Identifying of Organic Aerosol Sources by Using of Advanced Factor Analysis
Makeš, Otakar ; Vodička, Petr ; Schwarz, Jaroslav ; Canonaco, F. ; Prevot, A.
Real-time measurement of submicron aerosol was performed at Prague – Suchdol site (Czech Republic) during six weeks in June and July 2012. Organic aerosol data obtained from measurement by C-ToF AMS were deconvoluted using the Multilinear Engine (ME-2) algorithm (Paatero, 1999) and analyzed with the newly developed GUI provided by Paul Scherrer Institute (Canonaco et al. in prep.). During the analysis, we obtained four factor solution which explains more than 95% of the variance. These four factors, related to four aerosol sources, were fixed by the ME-2 model: Hydrocarbon-like organic aerosol (HOA) factor related to the road traffic, biomass burning organic aerosol (BBOA) factor, and two kinds of oxygenated organic aerosol factors (LV-OOA and SV-OOA). LV-OOA factor is the most frequently interpreted as an aged aerosol with low volatility. On the contrary, diurnal patterns of SV-OOA factor exhibit maxima at night and high anti-correlation with temperature. Therefore it can be assumed that SV-OOA factor represents a volatile fraction of OOA.
Fulltext: content.csg -  PDF
Plný tet: SKMBT_C22013101814580 - PDF
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Contribution to the evaluation of different approaches to the modelling of soil loss by water erosion in GIS
Hrabalíková, Michaela ; Janeček, Miloslav (advisor) ; Jan, Jan (referee)
Dissertation thesis: Contribution to the evaluation of different approaches to the modelling of soil loss by water erosion in GIS, is a set of five studies published or accepted for publication in scientific journals. Thematically the work deals with the question of linking the erosion modelling together with geographic information systems. The work is divided into five chapters. In the first chapter, the issue of erosion and rainfall-runoff modelling is described. A particular focus is placed on the concept and the basic equations underlying erosion modelling. The second chapter contains 2 studies that deal with modelling rainfall-runoff conditions in the area of experimental area using KINFIL model. The chapter also discusses the selection of a suitable model and source datasets that forms the basis for the evaluation of physiographic parameters of a catchment. The third chapter is thematically focused in calculating the rainfall factor based on long-term precipitation records from 32 meteorological stations in the Czech Republic. It partially overlaps with the previous chapter because one of the outcomes of the study is the REDES database containing values of R-factor. However, the chapter focuses more on the time scale, and especially the influence of the time step in the simulation on resulting outcomes of the model. The fourth chapter is dealing by erosion modelling in GIS based on analysis of digital terrain models. It contains a study that addresses the influence of various algorithms and/or equations to calculate topographical factor and its effect on the overall prediction of soil loss.
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Testing perfect powers
Straková, Hana ; Jedlička, Přemysl (referee) ; Stanovský, David (advisor)
A positive integer n is a perfect power if there exist integers x and k, both at least 2, such that n = x^k. Perfect power testing is important as preprocessing for number factorization and prime number testing, because many algorithms for that are not able to distinguish between prime number and power of prime number, so it is necessary to test it by perfect power tests. This thesis includes comparison of two algorithms for perfect power testing, one by Daniel J. Bernstein and the other by E. Bach & J. Sorenson. The goal is to implement described algorithms in C language with GMP library for multiple-precision arithmetics, to compare the theoretical results and running times of implemented algorithms.
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MSAR BTF Model
Havlíček, Michal
The Bidirectional Texture Function (BTF) is the recent most advanced representation of material surface visual properties. BTF specifies the changes of visual appearance due to varying illumination and viewing conditions. Such a function might be represented by thousands of images of surface taken in given illumination and viewing conditions per sample of the material. Resulting BTF size, hundreds of gigabytes, excludes its direct rendering in graphical applications, accordingly some compression of these data is obviously necessary. This paper presents a novel probabilistic model based algorithm for realistic multispectral BTF texture modelling. This complex but efficient method combines several multispectral band limited spatial factors and corresponding range map to produce the required BTF texture. Proposed scheme enables very high BTF texture compression ratio and in addition may be used to reconstruct BTF space i.e. non-measured parts of the BTF space.
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Integral methods for the determination of fracture characteristics of general stress concentrators
Gröger, Roman
The integral appoaches for calculation of generalized stress intensity factors (GSIF) are presented. Integral identities are derived using the Betti reciprocal theorem as a superposition of two independent solutions satisfying the sam boundary conditions. The complementary solution for computation of GSIF is assembled using the negative eigenvalues lambda. This algorithm yields a set of integral identities that allow to estimate GSIF separately for mode I and II. A quantitative comparsion of the integral approach with recently used extrapolation method is proposed in conclusion.
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Development of Instrumentation and Methodology in Proteomic and Environmental Analysis
Hezinová, Věra ; Bobáľová, Janette (referee) ; Lubal,, Přemysl (referee) ; Čáslavský, Josef (referee) ; Klepárník, Karel (advisor)
Tato práce je zaměřena jak na cílený tak na přehledný přístup ve studiu proteomiky. Cílená proteomika přináší informace o přítomnosti proteinu a jeho lokalizaci v buňce či tkáni pomocí luminiscenčních značek na bázi kvantových teček, zatímco přehledná proteomika se zabývá identifikací změn v proteomu dvou nebo více jedinců stejného druhu vystavených různým podmínkám. Protože proteomika vyžaduje vysoce citlivé separační a identifikační techniky, byly v této práci ověřeny různé metody zlepšení citlivosti kapilární elektroforézy s hmotnostní detekcí. Použití rozhraní s kapalinovým spojem pro spojení těchto dvou technik, které zajišťuje vyšší citlivost analýz, bylo také ověřeno analýzou metabolitů etanolu a kokainu v lidské moči. Zavedené techniky instrumentace jsou využitelné při posouzení vlivu významných faktorů životního prostředí na živé systémy jak na buněčné tak na molekulární úrovni.
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Predikcia inflácie vybranými metódami strojového učenia
Číriová, Nora
The thesis is dealing with the assessment of how effective is the inflation forecast based on choosen indicators of inflation with the help of artificial intelligence in the Slovak Republic and the European Monetary Union. Specifically, it is about two methods of machine learning and those are the method of regression tree and the algorithm of nearest neighbors. Alignment of time series of inflation in the first part of the practical part is carried out by using current values of inflation factors. The second part is intended to equalising time series of inflation lagged values of these factors. Owing to the results we can select factors that have the greatest impact on the inflation.
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Autonomous Control System for Mobile Platform
Kříž, Vlastimil ; Burian, František (referee) ; Žalud, Luděk (advisor)
This work undertake the design of autonomous control system for mobile platform – slot car – for the Freescale Race Challenge 2009. The aim is to draw and implement control system, which will be able to drive the car trough the previously unknow path in the shortest time. In work is described factors that affect runing the car and draw optimal driving style. Then sensors for the car, type of motor control and control unit are chosen. The algorithms for maping the profile and for lap recognition are developed. Next the realization of the systém are descripted.
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Position monitoring with the help of GPS/GSM modem
Zavadil, Miloš ; Vyoral, Josef (referee) ; Šilhavý, Pavel (advisor)
The first chapter of bachelor thesis is focused on theoretical explanation of the most important terms in Global Positioning System describing basic principles and position monitoring possibilities. The structure of the whole GPS system and its position setting accuracy is described further. The NMEA protocol used for transferring GPS information is shortly mentioned too. The second chapter deals with Open AT platform used for application development. It is a product of Wavecom company. The third thematic unit has already practical character. It shows the results of locating GenLoc25 modem by AT commands and decoding NMEA frame. Three variants of applications developed in Microsoft Visual C++ are described in the last chapter. All of them are used for position monitoring with GPS/GSM modem. The first program has the same functionality as the modem locating by AT commands. It is only for visualization of GPS information in Terminal window. The second application we can consider as the most important in this thesis. It contains all the items from the assignment. Actual data position is automatically sent to FTP server by GPRS transmission. The data are stored on this server. Received data are visualized in web browser by PHP script which is stored on server too. Final application is derived from the second one. The algorithm assumes that data are not sent to server regularly but transmission depends on human factor.
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Influence of Resource Sharing on Performance
Babka, Vlastimil ; Bulej, Lubomír (referee) ; Tůma, Petr (advisor)
Resource sharing occurs when multiple active processes or software components compete for system resources, which influences the observed performance compared to an individual execution. Isolated benchmarking of durations of key operations for solving of performance prediction models may therefore yield imprecise results. Resource sharing also occurs between the measured code and the benchmark infrastructure for obtaining and storing samples, imposing an indirect overhead. This thesis quantifies the effects of sharing on performance for several resources that are often shared, namely the processor caches and the file systems. The highest possible performance impact of cache sharing is determined by synthetic benchmarks. Impact on practical code and its dependency on a number of factors such as cache trashing frequency and intensity are then determined by experiments with existing implementations of FFT and LZW algorithms and a video stream processing application. Effects of file system sharing are measured by experiments that read and write multiple files simultaneously. For both resources, situations with significant performance impact of sharing have been observed. Based on the results of the experiments, several suggestions for dealing with the overhead of performance monitoring infrastructure are...
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