This diploma thesis deals with the analysis of the birth rate and fertility rate in dependence on the economic conditions of the Czech Republic. The aim of this thesis is to analyze relations between selected socio-economic indicators and total fertility rate on the basis of available data and to evaluate changes related to birth and fertility in the Czech Republic, which occurred in the period 1993-2015. The thesis is divided into two main parts - theoretical and analytical. In the theoretical part are described the basic methods of calculating the characteristics for the analysis of the level of birthrate and fertility, as well as the development of selected socio-economic indicators. An important part of the first part of the diploma thesis is specification of used methods within time series. The second part is practically focused on cointegration analysis and subsequent assembly of single-row models from which error correction models were obtained by transformation. These can be used to describe short and long term relationships between time series. Explained variables are aggregate fertility in all assembled models, the explanatory variables are GDP, average gross monthly wage, final consumption expenditure for households, child allowances, parental allowance and household loans per capita.

This dissertation deals with the study of the use of virtual technologies for an analysis of operating characteristics of a machine. Operating characteristics of a machine are parameters that determine the usability of the machine to accomplish a certain task in addition to the specified time and under the certain conditions. These include parameters that can be changed based on customer requirements, for example, the table size and the highest spindle speed to the parameters influenced from the start of the machine design such as positioning accuracy, acceleration value in the axes or consumption. The first part sets out general requirements for visualization of information and these are subsequently verified experimentally in the chapter devoted to the time visualization protocol. This thesis presents the original experiments to determine the basic requirements for visualization of a measured quantity, in this case the feed rate. By verifying usability when displaying these properties on the underlying data showing machine position change, the four basic requirements for visual data processing using immerse virtual reality are validated. A deeper insight into the work with data will enable to analyse more complicated relations within a longer period, greater transparency and clearer outputs of analysis.

The master's thesis deals with the aggregate reviews of the financial situation of one company. The assessment of the efficiency of the company is based on data and economic indicators analyzing. These economic and financial indicators are after then analyzed by statistical analysis. From the knowledge of historical data are forecasting preconditions for the future of the company. The last part of the master's thesis contains some possible resolutions, which use lead to improve financial situation of the company and increase of effectiveness and objectivity of planning in the company.

This master’s thesis describes the use of project management for a design and implementation of the project to create web portal for event team of the company UNIFER o.p.s. The thesis descibes in detail the pre-project, project and post-project phase according to project management methods.

The master’s thesis deals with the usage of statistical analysis in the evaluation of the financial situation of the chosen company. The author focuses on the analysis of economic indocators, that are used in business practice for the assessment of the company financial situation. Summarized economic data are analyzed by financial and statistical analysis. The data comparism results to recommendations that may be impemented for company improvement. On the basis of historical data and trends prognosis the company gets specific picture about future situation and the effects on the market.

Tato diplomová práce je zaměřena na různých metodik projektového řízení a jejich praktické využití při založení podniku v Dubaji, ve Spojených arabských emirátech. Vzhledem k různým právním normám na zahraničním trhu, jsou vysvětleny bariéry vstupu na trh. Návrh obsahuje definovaný seznam činností, analýzu času, analýzu a hodnocení rizik a rozpočet projektu.

<p>This thesis describes one promising approach where a problem of time<br />series analysis and prediction was solved by using Case Based Reasoning<br />(CBR) technology. Foundations and main concepts of this technology are<br />described in detail. Furthermore, a detailed study of different approaches in<br />time series analysis is given. System CuBaGe (Curve Base Generator) - A<br />robust and general architecture for curve representation and indexing time<br />series databases, based on Case based reasoning technology, was<br />developed. Also, a corresponding similarity measure was modelled for a<br />given kind of curve representation. The presented architecture may be<br />employed equally well not only in conventional time series (where all<br />values are known), but also in some non-standard time series (sparse,<br />vague, non-equidistant). Dealing with the non-standard time series is the<br />highest advantage of the presented architecture.</p> / <p>U ovoj doktorskoj disertaciji prikazan je interesantan i perspektivan pristup<br />re&scaron;avanja problema analize i predviđanja vremenskih serija kori&scaron;ćenjem<br />Case Based Reasoning (CBR) tehnologije. Detaljno su opisane osnove i<br />glavni koncepti ove tehnologije. Takođe, data je komparativna analiza<br />različitih pristupa u analizi vremenskih serija sa posebnim osvrtom na<br />predviđanje. Kao najveći doprinos ove disertacije, prikazan je sistem<br />CuBaGe (Curve Base Generator) u kome je realizovan originalni način<br />reprezentacije vremenskih serija zajedno sa, takođe originalnom,<br />odgovarajućom merom sličnosti. Robusnost i generalnost sistema<br />ilustrovana je realnom primenom u domenu finansijskog predviđanja, gde<br />je pokazano da sistem jednako dobro funkcioni&scaron;e sa standardnim, ali i sa<br />nekim nestandardnim vremenskim serijama (neodređenim, retkim i<br />neekvidistantnim).</p>

This diploma thesis deals with a static analysis of a highway bridge structure with respecting of construction stages. Computational models of the bridge were created using RFEM 6 software. Gradual prestressing of the structure was applied in the models. Construction stages analysis is also applied to the bridge models in combination with modal and stability analysis. This thesis also deals with time – dependent analysis, therefore influence of rheological properties of material.

No description available.

Points-to analysis is a static program analysis that tries to predict the dynamic behavior of programs without running them. It computes reference information by approximating for each pointer in the program a set of possible objects to which it could point to at runtime. In order to justify new analysis techniques, they need to be compared to the state of the art regarding their accuracy and efficiency. One of the main parameters influencing precision in points-to analysis is context-sensitivity that provides the analysis of each method separately for different contexts it was called on. The problem raised due to providing such a property to points-to analysis is decreasing of analysis scalability along with increasing memory consumption used during analysis process. The goal of this thesis is to present a comparison of precision and scalability of context-sensitive and context-insensitive analysis using three different points-to analysis techniques (Spark, Paddle, P2SSA) produced by two research groups. This comparison provides basic trade-offs regarding scalability on the one hand and efficiency and accuracy on the other. This work was intended to involve previous research work in this field consequently to investigate and implement several specific metrics covering each type of analysis regardless context-sensitivity – Spark, Paddle and P2SSA. These three approaches for points-to analysis demonstrate the intended achievements of different research groups. Common output format enables to choose the most efficient type of analysis for particular purpose.