National Repository of Grey Literature 4,164 records found  1 - 10nextend  jump to record: Search took 0.21 seconds. 


Analysis of current situation and trends in distribution channels in the German market
Zabloudilová, Pavlína ; Král, Petr (advisor) ; Vokáč, Matěj (referee)
The objective of this master's thesis is to analyse trends in distribution in the German market and evaluate their importance in the retail environment. The first chapter of the thesis deals with the issue of distribution from a theoretical perspective. Analysis of the German economy and retail environment serves as a basis for further elaboration of the thesis. In the German market is growing the importance of the e-commerce and there is a tendency of integration of distribution channels. The current situation and trends in distribution channels as well as the trends of the future are outlined on the basis of secondary data. The analysis is completed by qualitative research, which determines the potential use of current trends.

Use of distribution of tasks in construction company
Repoň, Patrik ; Fábry, Jan (advisor) ; Skočdopolová, Veronika (referee)
Bachelor thesis deals with distribution of tasks, which have utility in the construction company. The aim is to apply these distribution of tasks to problems with which the construction company often meets, and to reach an acceptable solution that will help to streamline production, save working time or financial recourses. Bachelor thesis is divided into two parts. The first part is a theoretical part, which presents problems in construction companies in general, as well as the application of different types of distribution of tasks. Furthermore, we face mathematical models of these tasks and with description of optimization software LINGO, which we will use to resolve them. In the practical part the distribution of tasks are applied to concrete problems and real data. The final part contains an overall assessment of the results.

Design of operation of a new 120 MW Maloměřice heating plant power source in E.ON 110 kV power distribution network
Janda, Petr ; Vaculík, Petr (referee) ; Blažek, Vladimír (advisor)
Before putting new power distribution installation into operation and before the connection to grid is needed to validate connectivity of the installation. Purpose of verification is to check compliance with the technical conditions of relevant regulations. Ones of the most important conditions include compliance with the prescribed connection voltage tolerance at the connecting device – and even in the worst-case – and provide necessary short-circuit capability of the other devices in a connected grid. Main task of my master’s thesis is just checking that the voltage tolerance and the control of short-circuit resistance. The calculations were performed by using the dispatching control system that works with the current parameters of the distribution system equipment 110 kV. Theoretical part of thesis describes two main points of the method of calculating the network operation and the method of calculating short-circuit conditions. Based on these theoretical processes are relevant input data processed and evaluated in the dispatching control system. The calculation and evaluate results are presented in the final part of the master’s work.

The way of consumerism in the interwar Czechoslovakia nn the example of consumption of coffee, cocoa, chocolate and tea.
Syrová, Tereza ; Jakubec, Ivan (advisor) ; Jančík, Drahomír (referee) ; Štemberk, Jan (referee)
Dissertation thesis discusses the consumption of cocoa, coffee, tea and chocolate in the interwar period in the Czechoslovakia. On the basis of statistical data and examination of archival sources comes with the definition of the middle classes of the population, which those commodities consumed. The thesis shows the distribution of consumption of commodities based on the survey in blue-collar and white-collar families. Furthermore provides insight into the lives of families, distribution of their spending and the size of income. It refers to the representation of cocoa, coffee, tea and chocolate in the consumer basket and shows the elasticity of the mentioned commodities. For the central part of the research of the dissertation thesis chose the Czech territory only, because here were without difficulty accessible data sources. The Dissertation thesis clarifies the causes of consuming cocoa, coffee, tea and chocolate and concludes that each was consumed from another purpose, which resulted status of these commodities. Tea consumption has been designed especially for the higher classes of the population, chocolate bought mostly white-collar family, but over twenties speared consumption of chocolate products also among the middle and lower classes into the population. The chocolate products were subject to early 20s of the luxury tax. Cocoa was used in connection with cooking and baking, but families didnt use this product frequently. Coffee drank all layers of the population, but consumption was based on the social status of the consumer. Very frequently families consume rye coffee and chicory coffee. Dissertation thesis also highlights the regional differences between the classes, which were further intensified. Thesis examines in detail the amount of the duties of the commodity, which in the interwar period varied widely, and concludes that the duty to disproportionately increase the price of products and made it impossible for consumers to buy more of cocoa, coffee, tea and chocolate.

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.

Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.

User Preferences for Searching in Web Sources
Eckhardt, Alan ; Vojtáš, Peter
Main topic of this paper are user preferences in sematic web environment. We describe a model for querying with user preferences upon RDF data and for ordering of the answer by user aggregation function. Our model has a theoretical base in modification of fuzzy description logic, which is embedable into two-value description logic and extends OWL. We desceribes also experiments, which were done using framework for flexible querying Tokaf. We extended standard algorithms for searching k bet answers, using new heuristics. These heuristics were also tested

Analysing company's behaviour and communication on social networks
Němec, Milan ; Molnár, Zdeněk (advisor) ; Jelínek, Ivan (referee)
This thesis focuses on measuring company´s communication and behaviour on social networks. To capture the interaction between the company and its users the thesis uses web analytics tools. Therefore, the main objective of the thesis is analysis of these tools. To achieve this goal, the thesis characterizes social networks and their marketing opportunities for business promotion. Thanks to this, needs of using these tools is identified. The needs are: competitive analysis, optimizing communication, measuring achievement of objectives or detection competitive viral content. Research questions were determined and then analysis tools found answers to research questions. It was found that the tools provide various views of data and create a complete system for measuring and analysing behaviour and communication companies on social networks. The results were validated in a case study focused on the Facebook profile of the University of Economics in Prague. The study analysed the interaction profile of the school and its users and compared with others schools. In the results the analysis tools are validated and it is designed recommendation for improve engagement. This thesis revealed strengths and weaknesses of tools for measuring company´s communication and behaviour on social networks. It was found that these tools have wide range of use. They can be used for understanding the company's profile, its users, for purposes of competitive analysis, monitor corporate goals and optimize communications on social networks.

Operating software with web interface for programmable controllers
Matějka, Tomáš ; Kovář, Jiří (referee) ; Houška, Pavel (advisor)
This diploma thesis deals with developing of software, which allows access and control of programmable controllers through web interface. Software uses client server model and for communication between client and server is used Windows Communication Foundation interface which is integrated in Microsoft .NET Framework from version 3.0. Applications were written in C# programming language using .NET Framework libraries. Data visualization in web application was created by Microsoft Silverlight.