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hp-metody konečných prvků adaptivní v prostoru i v čase: Přehled metodologie
Šolín, P. ; Segeth, Karel ; Doležel, I.
We present a new class of self-adaptive higher-order finite element methods (hp-FEM) which are free of analytical error estimates and thus work equally well for virtually all PDE problems ranging from simple linear elliptic equations to complex time-dependent nonlinear multiphysics coupled problems. The methodology was used to solve various types of problems. In this paper we use a nonlinear combustion problem for illustration.
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External Sources of Finance for Business Projects in the Czech Republic
Kubíčková, Kateřina ; Filipová, Vladimíra (advisor) ; Drozen, František (referee)
This bachelor thesis is focused on external sources of finance for business projects in the Czech Republic. The theoretical framework summarizes the expertise and definitions relating to business, entrepreneurs personality, to legal forms of business and traditional external sources of finance. As the lack of resources or difficult access to traditional sources of capital can sometimes be an obstacle in the realization of a welcome and viable business plan, the second half of the thesis is devoted to alternative options of financing business projects with an emphasis on EU subsidies drawing. Other analysed external sources of finance are the investments of private investors called Business Angels, venture and private equity capital, crowdfunding and at the end preferential credits from banking institutions offered to start-ups or new business projects. The main target of this thesis is to provide an overview of the available external projects funding, to find out how they are going on in the Czech Republic and at the conclusion to assess, what kinds of projects are suitable for every single kind of funding. This thesis could help to entrepreneurs, who do not have enough funds for their idea, to be knowledgeable in current options of external financial sources.
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Chytrá a udržitelná města v kontextu vědecké a inovační strategie EU
Horniecká, Marie ; Žamberský, Pavel (advisor) ; Procházková Ilinitchi, Cristina (referee)
The thesis explores how the EU support to research and innovation towards urban sustainability is designed, what the existing EU intiatives striving for achieving smart and sustainable cities are. The analysis of theoretical approaches forms the basis for developing the definition of smart and sustainable city for the purpose of this thesis. An overview of the principal EU strategic documents which address urban sustainability together with European networks is provided in order to demonstrate the linkage to the research Framework Programmes. A separate chapter is devoted to the analysis of the most pressing challenges European cities face nowadays. Database of EU funded research and innovation calls and projects is examined (E-CORDA). Calls and projects related to urban areas are identified and juxtaposed with the urban problems. Final recommendations concern with social aspects of sustainability which should be, in the author's opinion, addressed in future EU research Framework Programmes with a particular attention.
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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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Phishing in the gaming industry
Nguyen Van, Thanh ; Luc, Ladislav (advisor) ; Veber, Jaromír (referee)
This bachelor thesis deals with a currently major issue of cyber security, which is phishing. The study is also specific in that it is focused on the gaming industry, which is subjected to a detailed analysis. The first goal of thesis is to acquaint the reader with problems of security risks of phishing in general and in game related fields. To achieve this goal, in the introduction of the theoretical part of the work, the general problem of phishing with a view on historical development and expansion is presented. Furthermore is described topic of gaming industry, its trends of videogames and security risks of online trading. The second goal is to give future and existing Steam users an overview of common phish-ing attacks and countermeasures. To achieve this goal, in the analytical part of the work, a specific gaming platform in online trading and distribution of game is selected, Steam from Valve. In the practical part of the work, eight selected phishing attacks are conducted to brief analysis and completed into a final evaluation and countermesures of all attacks.
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Forms of advertising on social networks and consumer protection
Žďárský, Jiří ; Vavrečka, Jan (advisor) ; Štěpánek, Petr (referee)
The theme of this thesis are forms of advertising on social networks and consumer protection. The main informational source is above all research of specialized literature, articles, online or other sources in connection with author's own observations and analysis of the respective legislation and ultimately the comparison with author's gained professional experience. The result of this work is a comprehensive overview and introduction to the law of social networks and advertising, demonstration of the importance and significance of this topic and finally evaluation of the effectiveness of legislation that protects consumers in the environment of social networks.
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A Comparison of Preconditioning Methods for Saddle Point Problems with an Application to Porous Media Flow Problems
Axelsson, Owe ; Blaheta, Radim ; Hasal, Martin
The paper overviews and compares some block preconditioners for the solution of saddle point systems, especially systems arising from the Brinkman model of porous media flow. The considered preconditioners involve different Schur complements as inverse free Schur complement in HSS (Hermitian - Skew Hermitian Splitting preconditioner), Schur complement to the velocity matrix and finally Schur complement to a regularization block in the augmented matrix preconditioner. The inverses appearing in most of the considered Schur complements are approximated by simple sparse approximation techniques as element-by-element and Frobenius norm minimization approaches. A special interest is devoted to problems involving various Darcy, Stokes and Brinkman flow regions, the efficiency of preconditioners in this case is demonstrated by some numerical experiments.
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Profile and reflections of dance department of the Juilliard school
Červinka, Marek ; JANEČEK, Václav (advisor) ; KŘENKOVÁ, Mahulena (referee)
This bachelor thesis, called Profile and Reflection of Juilliard School’s Dance Division, first of all briefly touches the key events in history of both classical and modern dance in the first half of the twentieth century and then approaches the history of The Bennington School of the Dance which is considered to be the Juilliard’s predecessor. After a general historical overview, descriptions of the educational goals and study programs, is the rest of the work focussing on Juilliard’s Dance Division in detail. Its past accomplishments, famous teachers, study programs and the admission procedures are discussed. All these information, including the interviews with Jarek Cemerek, a Czech choreographer and dance teacher, and with Brennan Clost, a current student of the fourth year at The Juilliard School, were used as a final reflection of Juilliard’s Dance Division. The comparison of Czech dance schools with The Juilliard School is comprised in this section.
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Global Economy Outlook - December 2016
Česká národní banka
Global Economic Outlook presents the regular monthly overview of recent and expected developments in selected territories, focusing on key economic variables: inflation, GDP growth, leading indicators, interest rates, exchange rates and commodity prices. In this issue, we also focus on a major phenomenon of the day: the migration of people into Europe, and Germany in particular. In this context, we present an analysis of the effect of the increased number of refugees on the German labour market. We show, among other things, that the incoming migrants will be far from enough to cover the demand for labour in Germany and also that they will compete more with workers arriving in search of jobs in Germany from Central and Eastern European countries than with German citizens.
Fulltext:  PDF; PDF
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Global Economy Outlook - November 2016
Česká národní banka
The November issue of Global Economic Outlook presents the regular monthly overview of recent and expected developments in selected territories, focusing on key economic variables: inflation, GDP growth, leading indicators, interest rates, exchange rates and commodity prices. In this issue, we also focus on the relationship between the Brent crude oil price and the US dollar exchange rate over the last ten years. The results show that the inverse relationship between the Brent price and the nominal effective exchange rate of the dollar still applies, helping dampen fluctuations in the dollar price of oil in “non-dollar” economies.
Fulltext: PDF; PDF
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