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APPLICATIONS OF PHOTOCATALYTIC NANOMATERIALS, STANDARDIZATION AND OVERVIEW OF TESTING METHODS
Peterka, F. ; Jirkovský, Jaromír ; Sťahel, P. ; Navrátil, Z.
Successful application of photocatalytic nanomaterials in so called light cleaning is strongly dependent on 1 development of photocatalytic material of new generation to have performance at least one order higher than materials already utilized, 2 development of testing methods as ISO and CEN standards to prove photocatalytic function in broad application field and to support the advertise function. These issues belong to the main objectives of the European COST 540 project "Photocatalytic technologies and novel nanosurfaces materials critical issues", which is understood as European platform to group the existing European teams focusing on the development of photocatalytic nanomaterials and standard photoactivity testing methods In this contribution, overview of state of art of application field and testing methods will be given Information about recently developed new composite photocatalyst material will also be mentioned, but from the point of standard testing.
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Effective dashboard design in the analytical tasks of IS
Janeczková, Agata ; Šedivá, Zuzana (advisor) ; Pour, Jan (referee)
The thesis deals with analysing and designing an effective dashboard. By way of introduction the topics of Business Intelligence, data storages and data quality are described. Then, an overview of analytical outputs is given and the process of their formation is outlined. The basic principles of an effective design of management reports are described, with emphasis laid on the end user. The thesis focuses on important factors of efficiency, such as applicability of transferred information and the form of their transfer. The practical part concentrates on the improvement of the efficiency of a particular dashboard. Besides the rules of a correct design, knowledge of cognitive psychology is also used for this purpose. Upon an analysis of deficiencies of an existing dashboard, proposed changes are incorporated. Changes resulting in more effective transfer of information via a dashboard are based on a theoretical basis of the previous section.
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Comparison of accounting programs from the point of view of the use of information for management companies
Loušová, Petra ; Stejskalová, Irena (advisor) ; Pevná, Jana (referee)
The aim of the thesis is to compare accounting programs from the point of view of the use of information that are important for management companies. The theoretical part deals with the general approach to processing business information in the accounting. Next there is explained an overview of what information in the field of accounting are important and necessary for the job of financial manager. The practical part contains an analysis of at least three accounting programs, with the main focus on what information from the selected accounting program managers need in their work and what information is actually gaining from the program. In practical part, there are also compared results of individual organizations; information is gathered through in-depth interview with financial managers selected companies.
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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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Usage of unstructured data in Business Intelligence
Rakhmanova, Malika ; Šperková, Lucie (advisor) ; Karkošková, Soňa (referee)
The aim of the thesis is to identify the main trends that are occurring in the market of Business Intelligence and related to unstructured data, to describe the possibilities for integrating unstructured data, to clarify what the impact on the company have the results that can be obtained using these solutions and how generally incorporate an analysis of unstructured data into BI. Another aim is to show the current situation of processing unstructured data on the example of BI system. The thesis is divided into several parts. First part is describing of the Business Intelligence area and the basic components of Business Intelligence, as well as identifying market trends. Then, there is the next part: separating the data into structured and unstructured. Here is the part about how you can access and analyse unstructured data and what is their place in BI systems. This is the end of a block of unstructured data and the beginning of a description of the enhanced version of BI. Finally, the current market situation and BI tools, which include unstructured data, are introduced. This section provides an overview of how BI tools approach to analyse unstructured data. Existed literature, professional and freely available Internet resources are used for writing the work. The purpose is to serve as a source of information for quickly orienting in the current situation, to serve as a guide to the world of BI solutions and to show potential users what are the options and functionality of these BI solutions.
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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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Creation of the Enterprise Architecture model according to the TOGAF framework
Čapek, Jan ; Doucek, Petr (advisor) ; Zeman, Petr (referee)
The present diploma thesis aims at introducing the Enterprise Architecture and creating an abstract model of a company. The primary focus is on application and process layers as defined in the architecture framework TOGAF. The thesis is divided into theoretical and practical part. The theoretical chapter starts with a business model analysis which means to describe mission vision and companys values as a part of the strategy framework. Furthermore the business processes are described in the latter part of this section. This chapter attempts to explain how to map a business process and to categorize it by nature and maturity level. Penultimate chapter introduces the Enterprise Architecture in general. This section includes arguments as to why the companies should be concerned with the Enterprise Architecture advantages of the Enterprise Architecture implementation into the companys documentation relationship of companys core business and IT and examples of the Enterprise Architecture frameworks. The last chapter deals with the TOGAF framework where Architecture Development Method is described. This means how Enterprise Architecture model is created and how to implement changes into the layers according to the TOGAF framework. Simultaneously the last section of this chapter describes the reference models which provide graphical overview of all abstractions layers. The practical part of the thesis elaborates on the theoretical part using the Architecture Development Method process in order to create the Enterprise Architecture model according to TOGAF framework. Same as the theoretical part it only focuses on the application and process layer. Firstly the business model is decomposed into vision mission and companys values to the companys strategy and business goals in order to grasp further understanding of business processes detailed description. Subsequently the abovementioned aspects are recomposed to create process map which provides the management overview. The application layer undergoes the same process; nonetheless the process map is replaced by information system description and reference model creation. Once the models are created the thesis compares them with the business and strategic goals. The benefit brought by this thesis is critical evaluation of current status to propose changes to achieve target architacture according business and strategic goals established by management.
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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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Global Economy Outlook - October 2016
Česká národní banka
The October 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 focus in detail on the industrial producer price index (PPI), which, alongside the consumer price index (CPI), is a key indicator of inflation on the production side of the economy. We also explain the specifics of the PPI, especially in the EU, and present a model simulation indicating the sensitivity of the PPI to a change in oil prices.
Fulltext: PDF; PDF
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