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Serverless single page application in JavaScript
Zikmund, Marian ; Pecinovský, Rudolf (advisor) ; Suchan, Vladimír (referee)
The goal of this thesis is to design and develop a framework for building modern single- page application in the JavaScript programming language and describe this approach to development. The work also contains the documentation for a more comfortable use and customization. The content is divided into eight chapters. The introduction is followed by the retrieval of information resources, including the specifics of the JavaScript programming language and explanation of the formation of single-page application. The description of the basic principles of their functioning, motivation and justification, when and why this approach is appropriate is also included. The work is primarily focused on the issue of single-page application, for which the use of the JavaScript programming language is crucial. For this reason, this work provides a whole chapter about this programming language, also including a description of its history and role in the context of others. Below are the common characteristics of single-page applications frameworks, built on top of the library ReactJS, whose formation is engaged in the following chapter. The developed framework also contains the user guide. The practical outcome of this work is an open source framework for creating serverless single-page applications, which is due to its architecture and documentation appropriately adaptable.
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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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Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.
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Leisure activities for children with hearing handicap
SEBENIOVÁ, Tereza
The topic of my bachelor thesis is: "Leisure Time Activities for Hearing-Impaired Children". The theory part of my bachelor thesis explains what hearing impairment means and the associated concepts, and it further presents special education as an academic discipline and surdopaedia as its branch. The final theory part defines the concept of leisure time and describes the organisations and institutions that offer leisure time activities. The thesis is aimed to determine the offer of leisure time activities for hearing-impaired children in České Budějovice. The research part is focused to identify how hearing-impaired children spend their leisure time, and to gather information from people who work with hearing-impaired children. To further illustrate this issue, it was necessary to find out in the organisations that offer leisure time activities whether they have some clients amongst hearing-impaired children and whether their organisations enable at all to work with such handicapped children. The research part was implemented using qualitative research and the method of controlled interview. The research was carried out in the period of four months from January to April 2011. Interviews were conducted in three target groups - the S1 set comprised hearing-impaired children, S2 covered teaching staff, and S3 included organisations and specialists who offer leisure time activities, or children and youth organisations. A total of 20 interviews were conducted with hearing-impaired children, 3 interviews with school staff and the staff of the Special Education Centre for Hearing-Impaired People, 1 interview with the interpreter from the Basic Deaf Organisation, and 9 interviews with the staff of the organisations that offer leisure time activities. The research results show that children who do not depend on communication using the sign language spend their leisure time similar to their intact peers. Further it was determined that no specific afternoon club is available for hearing-impaired children in České Budějovice, but none of the approached organisations offering leisure time activities resist to work with such handicapped children. The gathered knowledge can inspire parents of hearing-impaired children to improve how their children spend leisure time. The knowledge could also be used by organisations and institutions that offer leisure time activities.
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The capacity of the European Union to form a common foreign policy: The approach towards Russia during the crisis in Ukraine
Grycová, Adéla ; Rolenc, Jan Martin (advisor) ; Cibulková, Petra (referee)
The thesis deals with the issues of framing and europeanization of the foreign policy of the European Union in the context of an actorness of the EU. These two theoretical concepts are applied on the case of an approach of the Czech Republic and European Union towards Russian Federation during the crisis in Ukraine. The aim of this thesis is to find out if the European Union is capabble of affecting the behaviour of a member state in order to create unified and operational foreign policy. The first chapter deals with teoretical definition of the two concepts and detailed description of the stances of Czech Republic and European Union follows in the second one. On the basis of these chapters the assessment is conducted. The last part firstly concludes if any attempt of influecing is present and secondly the success rate of the attempt is evaluated.
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Developing open approach to mathematics in future primary school teachers
Samková, L. ; Tichá, Marie
In our contribution we focus on the possibility to develop open approach to mathematics in future primary school teachers during a university course on mathematics conducted in inquiry-based manner. We analyse data obtained in the beginning and in the end of the course with respect to two main aspects related to open approach to mathematics: searching for all solutions of a task, and acceptance of different forms of notation of a given solution. Data analysis revealed in the participants three different shifts towards open approach to mathematics, and showed that after the active participation in the course each of the participants improved at least in one of the monitored aspects, and that none of the participants got worse in any of the aspects.
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Geodiversity values as a basis for geosite and geomorphosite assessment: a case study from Žďárské vrchy Highland
Bajer, A. ; Kirchner, Karel ; Kubalíková, L.
Paper presents geodiversity values, geodiversity is understood as a set of geological, geomorphological and pedological components, including systems consisting of this components and geological, geomorphological and pedological processes. Geodiversity values are analyzed in relation to ecosystem values (e.g. cultural, functional value). Geodiversity values were used as basis for a methodical approach to geosite and geomorphosite assessment. Methodological approach is presented at selected sites in the top part of the Žďárské vrchy Highland. The acquired results can serve as a basis for geoconservation of PLA Žďárské vrchy, development of geotourism as well as an offer for extension geoeducational activities.\n
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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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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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Effect of snowpack on runoff generation during rain on snow event.
Juras, Roman ; Máca, Petr (advisor) ; Ladislav , Ladislav (referee)
During a winter season, when snow covers the watershed, the frequency of rain-on-snow (ROS) events is still raising. ROS can cause severe natural hazards like floods or wet avalanches. Prediction of ROS effects is linked to better understanding of snowpack runoff dynamics and its composition. Deploying rainfall simulation together with hydrological tracers was tested as a convenient tool for this purpose. Overall 18 sprinkling experiments were conducted on snow featuring different initial conditions in mountainous regions over middle and western Europe.
Dye tracer brilliant blue (FCF) was used for flow regime determination, because it enables to visualise preferential paths and layers interface. Snowpack runoff composition was assessed by hydrograph separation method, which provided appropriate results with acceptable uncertainty. It was not possible to use concurrently these two techniques because of technical reasons, however it would extend our gained knowledge. Snowmelt water amount in the snowpack runoff was estimated by energy balance (EB) equation, which is very efficient but quality inputs demanding. This was also the reason, why EB was deployed within only single experiment.
Timing of snowpack runoff onset decrease mainly with the rain intensity. Initial snowpack properties like bulk density or wetness are less important for time of runoff generation compared to the rain intensity. On the other het when same rain intensity was applied, non-ripe snowpack featuring less bulk density created runoff faster than the ripe snowpack featuring higher bulk density. Snowpack runoff magnitude mainly depends on the snowpack initial saturation. Ripe snowpack with higher saturation enabled to generate higher cumulative runoff where contributed by max 50 %. In contrary, rainwater travelled through the non-ripe snowpack relatively fast and contributed runoff by approx. 80 %.
Runoff prediction was tested by deploying Richards equation included in SNOWPACK model. The model was modified using a dual-domain approach to better simulate snowpack runoff under preferential flow conditions. Presented approach demonstrated an improvement in all simulated aspects compared to the more traditional method when only matrix flow is considered.
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