The thesis discusses the business plan, opening a new restaurant in Wallachia. It will deal primarily with traditional Wallachian cuisine and tradition. It also developed a survey regarding our restaurant. The first part focuses on the theoretical basis of the proposal and the issue of the proposed solution. The second part addresses the issues of the proposed solution. It also includes internal and external analysis of the professional environment. It is part of a business plan and financial forecast of revenues and expenses. This prediction is processed in three possible development scenarios.

This thesis focused on general characteristics of technical analysis and the use of its instruments to support making decisions when trading in stock market. Within the theoretic part are processed theoretic solutions which are primarily relevant to technical analysis. At the specific stock item is by the help of proposed application consequently implemented the analysis of individual indicators of technical analysis. At the conclusion is compared the profitability and reliability of used indicators.

This master thesis deals with issues connected with using artificial intelligence in metal exchange. It describes theoretical bases of financial markets, various methods of analyses and artificial intelligence. Main accent is put on creating functional models in Matlab program which will predicate incoming values of time series. Part of the thesis is description of company, for which are those models of neural networks for supporting decision making created.

This thesis analyzes the impact of political risk for investment decision-ing-on invest-ments into large investment projects. The failure of investors in the field of large in-vestment projects is the vast majority caused by the politic-social grounds, whose quan-tification is extremely difficult. Political risk affects economic conditions and the stabil-ity of the environment, therefore knowledge of its development is essential for the prop-er investment decisions. His predictions are quantitative level problematic. The method used qualitative modeling falls within the field of artificial intelligence and used to model the trend. The work describes the process of creating qualitative model, its inter-pretation and recommendations for use in investment decisions.

This diploma thesis compares chaos theory with Elliott wave theory in order to find out whether there is an agreement in the area of prediction. Such formulation of main problem is considered original, new and pioneering issue. By solving an indirect problem of deterministic chaos, existence of the chaos was not proved in a respective time series. The possibility to predict future development of this time series in a short-term period was considered impossible with respect of chaos theory results. Nevertheless, subsequent prediction that used Elliott wave theory showed to be precise. Finally, agreement of both theories was not confirmed. The diploma thesis proved that knowledge of Elliott wave theory and ability to interpret it correctly is a valuable means of prediction.

The thesis deals issue of the solder joint reliability and diagnostics. The manufacturing technology of electronics currently features a very high level of perfection. A large number of electrical devices ends its functional life due to solder joint failure. The objective of presented research consists studies of processes taking place in the solder joint due to soldering and after soldering. To this end, I will employ several methods of diagnostics. Noise based methods of solder joint measurement was evaluated. Based on a detailed study and understanding of processes it can be solder joint reliability predicted.

This thesis is focused on possibilities of a project development prediction and a decision support for managers of those projects, which is an up to date topic in the present time turbulent environment. Project is understood as a stochastic process with discrete states and discrete time in this thesis. This approach could be represented by discrete moments of finding out project state. Project is compared to a finite automaton and Markovs chains are subsequently used. State model of the project based on Earned Value Management method is created in the proposal part of this thesis and there are state transitions probabilities. There are adjustments of the model designed consequently so the model is capable to fit some concrete situation closely. Designed proposals are tested in different situations to prove their value in the experimental part of this work.

The main research topic of this dissertation thesis deals with the influence of the working accuracy related to large CNC machines on the required workpiece properties. The state-of-the art has constantly been developed and the customer’s requirements directed to manufacturers of the machine tools are increasingly demanding. There is required a high accuracy, reliability, shortening delivery times etc. The manufacturer is expected to fulfill all the customer’s requirements. The machining accuracy is dependent, among others, on the positioning accuracy of a machine tool that represents the position of the cutting tool relative to a workpiece. The accuracy of a particular machine tool is therefore a limiting factor concerned with reaching the highest accuracy and quality of a workpiece. Acceptance test procedures are initially realized within a manufacturing shop floor and then within a customer environment. The main subject of the testing procedures is to verify. basic properties of a machine tool such as basic dimensions of a machine, strokes in all respective coordinates, machine travels and spindle speeds. A machining of a workpiece with a desired precision specified by the customer is also performed. In this thesis, a new methodology to calculate and determine errors concerned with machining on vertical lathes is proposed with the aim of predicting the machining accuracy of CNC machine tools. The objective of this work was to determine the influence of machining accuracy of a CNC machine in connection with a subsequent geometrical accuracy of a workpiece. Considered position of a tool relative to a workpiece will be affected by errors concerned with a kinematical inaccuracy, geometrical errors and errors related to machining forces. A vertical lathe SKIQ 30 produced by TOSHULIN, a.s. has been used as a testing machine on which the proposed methodology has been verified. During processing various calculations in this thesis there has been found out that the machining inaccuracy of the machine – main topic of interest – is influenced by the machining conditions such as cutting conditions, material to be machined and even the setting of working positions of the machine. For instance, a position of the cross slide is determined by a workpiece height and a position of the lathe carriage that is determined by a workpiece diameter and a travel of the slide that is also determined by a workpiece height. It can be stated then that to predict the machining accuracy of work pieces, it is important to know the behavior of the machine in its all range of working envelope. Based on the information acquired about the behavior of the machine, it can be determined an appropriate position for a workpiece setting that allows utilizing the maximum reachable accuracy with respect to the stiffness and geometrical accuracy of the machine tool. An appropriate setting of initial working position may influence the subsequent geometrical accuracy of a workpiece.

This paper deals with the analysis of the collected GPS data and the possibility of the prediction of most advantageous route on its basis, by the application written in the PHP scripting language. The suitability of the route is considered by the distance, driving time, or elevation. The thesis also describes a GPS system, the format of the source data and their storing in an appropriate database. There is also a description of the search of the shortest path in the graph and some famous algorithms for finding it. The paper includes information about implementation of new data integration and path finding within this data in PHP scripting language. In conclusion it is evaluated what are the benefits of this application and design saying how this application can be improved in the future.

Protein engineering is a young dynamic discipline with great amount of potential practical applications. However, its success is primarily based on perfect knowledge and usage of all existing information about protein function and structure. To achieve that, protein engineering is supported by plenty of bioinformatic tools and analysis. The goal of this project is to create a new tool for protein engineering that would enable researchers to identificate related proteins with modified function in still growing biological databases. The tool is designed as an automated workflow of existing bioinformatic analyses that leads to identification of proteins with the same type of enzymatic function, but with slightly modified properties - primarily in terms of selectivity, reaction speed and stability.