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The Historical maps available on the internet
SCHMIED, Lukáš
With coming of digital technologies, cartography has changed a lot. Today?s cartographic products are usually created in the digital form, as vector drawings. These data are able to be published either in desktop applications or in the Internet.The data can be not only displayed, but they can be published by the Web Map Services technology. The data can be in an easy way joined to any GIS application keeping appropriate standards.
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Řízení IS/ICT se zaměřením na sourcing služeb informačního systému
Šebesta, Michal ; Voříšek, Jiří (advisor) ; Havlíček, Zdeněk (referee) ; Příklenk, Oldřich (referee) ; Král, Jaroslav (referee)
Research on outsourcing has been around for several decades, while recent evolution in the information systems discipline towards ICT service commoditization significantly changes the context of decision-making. Services that are available on-demand via the Internet allow organizations implementing functions they demand in a fraction of time. This trend represents a chance for organizations seeking to use advanced ICT services without a need of major investments. Problem is the current lack of guidelines and tools for managing ICT services and their outsourcing. Given the trends on the ICT service market, it is expected that much of the IT management in the future will encompass the ICT services and utilize service-level structures. Methods currently available are either too broad or encompass only small part of the whole problem. Ad-hoc or unsound decisions in this area might cause major complications in terms of quality, usability, integration, and consequently influence total cost of organizational IT. Organizations need to either revise existing models or propose and implement completely new models to manage their IS/ICT. This thesis deals with the management of IS/ICT with focus on the ICT services outsourcing. It discusses available sourcing models in the literature and links them to the various interconnected areas. Based on these areas, it presents an integrated view on IT outsourcing strategies. Most importantly the thesis proposes an original concept for decision-making about outsourcing of ICT services named the SOURCER framework. This approach utilizes the presented outsourcing strategies, and introduces a complex methodology and decision-making criteria that will assist organizations with selection of ICT services in order to maintain and manage a most suitable ICT service portfolio. The decision-making is based on four essential viewpoints: function, costs, time, and quality. These viewpoints are discussed, individually analyzed, and serve as a basis for further research. The whole framework is developed and validated according to Design Science Research Methodology (DSRM). Individual components are evaluated using a survey among a group of selected IT managers. Proof of concept is then established by a case study on framework use in a real organization. This case study covers strategy specification, business--IT alignment, specifying service architecture and its interconnections, outsourcing, and management of the ICT service portfolio.
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Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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Detection of extended-spectrum beta-lactamase (ESBL) producers in community and in a hospital
POLENOVÁ, Lucie
The incidence of bacteria resistant to available antibiotics has become an important problem. Statistics show the rising number of resistant bacteria worldwide. Bacteria have ability to be resistant naturally or they develop from point mutation of genes and relay it between species or kinds. The study was made because of significance and relevance of this problem. In theoretical part the study is focused on the functional parts of bacterial cell, which participate in mechanisms of resistance. Beta - lactam antibiotics are described in more detail. The research took place in Hospital České Budějovice, a. s. during 2013. The study aimed to determine the frequency of ESBL positive producers in this hospital and to compare with frequency in community, and to identify units with highest frequency of ESBL producers. Pathogens are isolated from clinical material, being delivered to bacteriology lab in Hospital České Budějovice, a. s. Resistant samples were examined with double disc synergy test (DDST) and quantitative method based on principle of minimal inhibition concentration in combination with chromogenic agar. The prevalence rate of ESBL producers is average to low in Hospital České Budějovice, a. s. During 2013, 12, 347 isolates were identified, ESBL production was identified in 226 isolates. Escherichia coli (183 isolates), Klebsiella pneumoniae (16 isolates), and Enterobacter cloacae (15 isolates) were the most prevalent species. The number of ESBL producers was lower compared to 2012, 2011, and 2010.
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Methods of Competitive Intelligence for chemical industrial companies
Lisová, Martina ; Molnár, Zdeněk (advisor) ; Kocánek, Marek (referee)
The content of this thesis is the introduction of Competitive Intelligence and its methods to companies in the chemical industry. The main objective of this work is to create particular solution of Competitive Intelligence for Lovochemie, a.s., i.e. to propose competent employee who will be periodically monitor the selected information resources using Competitive Intelligence software tools. The analyses were used to achieve this objective. At first analysis of the chemical industry was conducted in the Czech Republic and also in the world and analysis of the selected company has been created. Information resources that the company should follow through Competitive Intelligence tools were selected on the basis of this information. The first part deals with the introduction of Competitive Intelligence, intelligence cycle CI, strategic analysis methods and Competitive Intelligence tools for searching and monitoring of information on the Internet. The second part is devoted to the aforementioned analysis. At first the chemical industry is analysed and the world's biggest fertilizers producers are described. This section also introduces the company called Lovochemie, a.s., its competitors, suppliers and customers. In the last part of this thesis, the information resources available to the company and selected Competitive Intelligence tools are described. Finally, the particular solution for Lovochemie is created.
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Possibilities of Big Data use for Competitive Intelligence
Verníček, Marek ; Molnár, Zdeněk (advisor) ; Šperková, Lucie (referee)
The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.
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Awareness of vegetarians about deficit of certain nutritions in vegetarian diet and about ways to compensate them
VORLÍČKOVÁ, Markéta
This thesis deals with vegetarians' awareness of the lack of specific nutritional substances in the vegetarian diet and their compensation. The aim is to explore whether vegetarians have sufficient information about the nutritional composition of their diet, whether they are interested in researching this information and whether the information is available and sufficient. I also looked at whether people with this eating preference are preventing potential nutritional deficits and subsequent health problems. There were designated the following three research questions: "How often and where do most vegetarians get information about a meatless diet?", "How can you achieve a full fledged vegetarian diet?" and "What is vegan awareness on the potential deficiencies in their diet, and how do they try avoid these?". In the theoretical part I deal with vegetarianism as a lifestyle, vegetarianism and its subgroups, the reasons for going to this way of life, the composition of a vegetarian diet with a focus on nutrients that may be deficient, vegetarianism and its impact on the body at different stages of development and ultimately the impact of a meatless diet on human health. The practical section is an elaborated form of qualitative research, specifically I chose semi-structured interviews. I collected the data from the interviews. The interview contained fourteen or fifteen questions, and women were also questioned about the pregnancy period. I asked questions regarding the issue of vegetarianism, veganism or raw foodism. I was interested in individual eating habits, nutrition knowledge and personal experience of the respondents. The data was collected between January 2014 and March 2014. The research group consisted of 6 respondents. The group was made up of women and men in the age range from 20 to 30 years. Among respondents there were vegetarians, vegans and raw foodists and the period of time in which they have been eating this way is different for every person. All respondents were familiar with the purpose of providing an interview and agreed to the publication. The interviews I conducted in person and were recorded on a dictaphone mobile phone. The results of my work show that most respondents do research about a meatless diet. They logically state that most intensive research took place while they were switching their eating habits, but now they still keep finding out new information. The most commonly used way was the Internet, specifically through websites such as www.soucitne.cz or www.vegan-fighter.com. Other sources used are books, articles, studies, and information received from friends or family members. The respondents argue that because the information was obtained this way, their diet is balanced. They are often trying to maintain diversity in their diet, for example, consume legumes and combine various foods such as legumes with cereals. Raw foodists state that they often consume sprouts, seeds, nuts, and of course a large amount of raw vegetables and fruits. All Vegans and Raw foodists know about the possible lack of vitamin B12, and some for this reason, use supplements. Also mentioned are supplements or protein complex supplements designed specifically for vegans.
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Modelling, parameter estimation, optimisation and control of transport and reaction processes in bioreactors.
ŠTUMBAUER, Václav
With the significant potential of microalgae as a major biofuel source of the future, a considerable scientific attention is attracted towards the field of biotechnology and bioprocess engineering. Nevertheless the current photobioreactor (PBR) design methods are still too empirical. With this work I would like to promote the idea of designing a production system, such as a PBR, completely \emph{in silico}, thus allowing for the in silico optimization and optimal control determination. The thesis deals with the PBR modeling and simulation. It addresses two crucial issues in the current state-of-the-art PBR modeling. The first issue relevant to the deficiency of the currently available models - the incorrect or insufficient treatment of either the transport process modeling, the reaction modeling or the coupling between these two models. A correct treatment of both the transport and the reaction phenomena is proposed in the thesis - in the form of a unified modeling framework consisting of three interconnected parts - (i) the state system, (ii) the fluid-dynamic model and (iii) optimal control determination. The proposed model structure allows prediction of the PBR performance with respect to the modelled PBR size, geometry, operating conditions or a particular microalgae strain. The proposed unified modeling approach is applied to the case of the Couette-Taylor photobioreactor (CTBR) where it is used for the optimal control solution. The PBR represents a complex multiscale problem and especially in the case of the production scale systems, the associated computational costs are paramount. This is the second crucial issue addressed in the thesis. With respect to the computational complexity, the fluid dynamics simulation is the most costly part of the PBR simulation. To model the fluid flow with the classical CFD (Computational Fluid Dynamics) methods inside a production scale PBR leads to an enormous grid size. This usually requires a parallel implementation of the solver but in the parallelization of the classical methods lies another relevant issue - that of the amount of data the individual nodes must interchange with each other. The thesis addresses the performance relevant issues by proposing and evaluation alternative approaches to the fluid flow simulation. These approaches are more suitable to the parallel implementation than the classical methods because of their rather local character in comparison to the classical methods - namely the Lattice Boltzmann Method (LBM) for fluid flow, which is the primary focus of the thesis in this regard and alternatively also the discrete random walk based method (DRW). As the outcome of the thesis I have developed and validated a new Lagrangian general modeling approach to the transport and reaction processes in PBR - a framework based on the Lattice Boltzmann method (LBM) and the model of the Photosynthetic Factory (PSF) that models correctly the transport and reaction processes and their coupling. Further I have implemented a software prototype based on the proposed modeling approach and validated this prototype on the case of the Coutte-Taylor PBR. I have also demonstrated that the modeling approach has a significant potential from the computational costs point of view by implementing and validating the software prototype on the parallel architecture of CUDA (Compute Unified Device Architecture). The current parallel implementation is approximately 20 times faster than the unparallized one and decreases thus significantly the iteration cycle of the PBR design process.
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Packet Classification Algorithms
Puš, Viktor ; Lhotka,, Ladislav (referee) ; Dvořák, Václav (advisor)
Tato práce se zabývá klasifikací paketů v počítačových sítích. Klasifikace paketů je klíčovou úlohou mnoha síťových zařízení, především paketových filtrů - firewallů. Práce se tedy týká oblasti počítačové bezpečnosti. Práce je zaměřena na vysokorychlostní sítě s přenosovou rychlostí 100 Gb/s a více. V těchto případech nelze použít pro klasifikaci obecné procesory, které svým výkonem zdaleka nevyhovují požadavkům na rychlost. Proto se využívají specializované technické prostředky, především obvody ASIC a FPGA. Neméně důležitý je také samotný algoritmus klasifikace. Existuje mnoho algoritmů klasifikace paketů předpokládajících hardwarovou implementaci, přesto však tyto přístupy nejsou připraveny pro velmi rychlé sítě. Dizertační práce se proto zabývá návrhem nových algoritmů klasifikace paketů se zaměřením na vysokorychlostní implementaci ve specializovaném hardware. Je navržen algoritmus, který dělí problém klasifikace na jednodušší podproblémy. Prvním krokem je operace vyhledání nejdelšího shodného prefixu, používaná také při směrování paketů v IP sítích. Tato práce předpokládá využití některého existujícího přístupu, neboť již byly prezentovány algoritmy s dostatečnou rychlostí. Následujícím krokem je mapování nalezených prefixů na číslo pravidla. V této části práce přináší vylepšení využitím na míru vytvořené hashovací funkce. Díky použití hashovací funkce lze mapování provést v konstantním čase a využít při tom pouze jednu paměť s úzkým datovým rozhraním. Rychlost tohoto algoritmu lze určit analyticky a nezávisí na počtu pravidel ani na charakteru síťového provozu. S využitím dostupných součástek lze dosáhnout propustnosti 266 milionů paketů za sekundu. Následující tři algoritmy uvedené v této práci snižují paměťové nároky prvního algoritmu, aniž by ovlivňovaly rychlost. Druhý algoritmus snižuje velikost paměti o 11 % až 96 % v závislosti na sadě pravidel. Nevýhodu nízké stability odstraňuje třetí algoritmus, který v porovnání s prvním zmenšuje paměťové nároky o 31 % až 84 %. Čtvrtý algoritmus kombinuje třetí algoritmus se starším přístupem a díky využití několika technik zmenšuje paměťové nároky o 73 % až 99 %.
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Measurement of \kur{in situ}Phasporus Availability in Acidified Soils using Iron-Infused Resin soils.
ČAPEK, Petr
A hybrid anion resin was tested for in situ phosphorus (P) availability measurement in soils of two stands recovering from acidification and having different P-sorption characteristics. The phosphate (P-PO4) sorption capacity of the resin (before saturation) was 48 mol g-1. Sorption and elution were tested under P-PO4 concentrations common in acidic soils (0 0.42 mmol l-1) either with or without the presence of sulfate (0.2 mmol l-1). The efficiency of P-PO4 sorption was independent of the sulfate and was 100 +/- 0.2% (n = 56, +/- SD). The P-PO4 recovery stabilized after six elution steps (each: 50 ml of 0.5 M sodium hydroxide, resin/solution 5:1). The efficiency of P-PO4 recovery was 80 +/- 7% and was used to evaluate field measurements. We determined the amount of P-PO4 in the field using resin bags in three consecutive years. The results indicate that bioavailable P is negatively related to the soil ability to retain P.
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