Master’s thesis is point to the innovation the data collecting of testing machine of selective circuit breakers. New solution of data collection don’t affect the operations of testing machine. The cost calculation of new solution is included. Master’s thesis also included program solution of SPC methods and application of it to the process of testing the selective circuit breakers.

This master’s thesis concerns about the use of data mining techniques in banking, insurance and shopping centres industries. The thesis theoretically describes algorithms and methodology CRISP-DM dedicated to data mining processes. With usage of theoretical knowledge and methods, the thesis suggests possible solution for various industries within business intelligence processes.

The purpose of this work is in analytical tool supporting manager decision making. The goal was to develop a reporting system which simplifies company customer's orientation in key performance indicators. As implementation environment has been used .NET Framework 3.5 with C\# language and database server Microsoft SQL 2008 with Analysis Services extension, for web interface has been used ASP.NET.

Model View Controller (MVC) software architecture is widely spread and commonly used in application’s development. Therefore generation of data layer for the database model is able to reduce cost and time. After research on current Object Relational Mapping (ORM) tools, it was discovered that there are generating tools like Data Access Object (DAO) and Hibernate, however their usage causes problems like inefficiency and slow performance due to many connections with database and set up time. Most of these tools are trying to solve specific problems rather than generating a data layer which is an important component and the bottom layer of database centred applications. The proposed solution to the problem is an engineering approach where we have designed a tool named Generated Intelligent Data Layer (GIDL). GIDL tool generates small models which create the main data layer of the system according to the Database Model. The goal of this tool is to enable and allow software developers to work only with object without deep knowledge in SQL. The problem of transaction and commit is solved by the tool. Also filter objects are constructed for filtering the database. GIDL tool reduced the number of connections and also have a cache where to store object lists and modify them. The tool is compared under the same environment with Hibernate and showed a better performance in terms of time evaluations for the same functions. GIDL tool is beneficial for software developers, because it generates the entire data layer.

This thesis deals with Business Intelligence and its testing. It seeks to highlight the differences from the classical software testing and finally design a methodology for BI solutions testing that could be used in practice on real projects of BI companies. The aim of thesis is to design a methodology for BI solutions testing based on theoretical knowledge of Business Intelligence and software testing with an emphasis on the specific BI characteristics and requirements and also in accordance with Clever Decision's requirements and test it in practice on a real project in this company. The paper is written up on the basis of studying literature in the field of Business Intelligence and software testing from Czech and foreign sources as well as on the recommendations and experience of Clever Decision's employees. It is one of the few if not the first sources dealing with methodology for BI solutions testing in the Czech language. This work could also serve as a basis for more comprehensive methodologies of BI solutions testing. The thesis can be divided into theoretical and practical part. The theoretical part tries to explain the purpose of Business Intelligence use in enterprises. It elucidates particular components of the BI solution, then the actual software testing, various types of tests, with emphasis on the differences and specificities of Business Intelligence. The theoretical part is followed by designed methodology for BI solutions using a generic model for the BI/DW solution testing. The practical part's highlight is the description of real BI project testing in Clever Decision according to the designed methodology.

This work deals with the modifications of project MeDiMed, which ceased to meet the requirements it imposed. In the first part the main objectives, targets and methods to achieve them are defined. The second part deals with the theory that is needed to understand the issue. In the practical part, which is based on the theory is prepared SWOT analysis and the modified HOS-8 analysis of the current state, whose results are then analyzed. The next section presents design of new solution. The conclusion summarizes all the proposed solutions and knowledge that have been achieved in this work.

This work deals with the modifications of project MeDiMed, which ceased to meet the requirements it imposed. In the first part the main objectives, targets and methods to achieve them are defined. The second part deals with the theory that is needed to understand the issue. In the practical part, which is based on the theory is prepared SWOT analysis and the modified HOS-8 analysis of the current state, whose results are then analyzed. The next section presents design of new solution. The conclusion summarizes all the proposed solutions and knowledge that have been achieved in this work.

Data collecting and analysis are commonly used techniques in many sectors of today's business and science. Process called Knowledge Discovery in Databases presents itself as a great tool to find new and interesting information that can be used in a future developement. This thesis deals with basic principles of data mining and temporal data mining as well as with specifics of concrete implementation of chosen algorithms for mining periodic patterns in time series. These algorithms have been developed in a form of managed plug-ins for Microsoft Analysis Services -- service that provides data mining features for Microsoft SQL Server. Finally, we discuss obtained results of performed experiments focused on time complexity of implemented algorithms.

With the increase of demands for the speed and availability of the information technologies, the process of optimization gains more and more importance. Concerning search engine optimization, optimization of operating systems or application optimization (source code), the goal is to gain faster, smaller and more maintainable solution. In my thesis I deal with optimization of database systems, which includes low level of database tuning - physical organization of data and indices, database management system tuning and query optimization. I focused on optimization of Microsoft SQL Servers 2005 in enterprise environment.

This master's project deals with location based systems and their application in information distribution. The work discuss kinds of getting actual location. Then it focuses on problems of developing applications and description of Microsoft technologies for mobile devices. Based on obtained theoretical information we present design, implementation and testing of our own location based system.