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Analyze and economic time series forecasting by using selected statistical methods
Skopal, Martin ; Charvát, Pavel (referee) ; Mauder, Tomáš (advisor)
V této diplomové práci se zaměřujeme na vytvoření plně automatizovaného algoritmu pro předpovědi finančních řad, který se snaží využít kombinační proceduru na dvou úrovních mezi dvěma rodinami předpovědních modelů, Box-Jenkins a Exponenciální stavové modely, které jsou schopny modelovat jak homoskedastické tak heteroskedastické časové řady. Pro tento účel jsme navrhli selekční proceduru v prostředí MATLAB pro modely ARIMA. Výsledný kombinovaný model je pak aplikován několik finančních časových řad a jeho výkonost je diskutována.
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Creating predictions average monthly flow for the control of the storage capacity of a fictive reservoir dam
Hrabinová, Barbora ; Sobek, Martin (referee) ; Menšík, Pavel (advisor)
The diploma thesis is focused on predictions of mean monthly flows for a purpose of control of storage functions when thinking differently positions of fictive reservoirs in the catchment area. One of the reservoir is situated in the upper part of the catchment area and the second is situated in the middle part of catchment area. Predictions are made by Support vector machine method in RStudio and with the use of R language. Predicted values of flows was evaluated by the correlation coefficient, coefficient of determination, Root mean square error and than was made the simulation of operation of storage function, which was evaluated by Total sum of squares modificated for problems of water management. In the end was made a comparison of both of the reservoirs for assessment of the suitability of the method.
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Proposal of Optimalization in Purchasing Procesess and Stock Management Area
Kukulová, Tereza ; MBA, Pavel Mík, (referee) ; Němeček, Petr (advisor)
This master´s thesis deals with optimalization of procedures in production company using modern methods. Describing actual status of inventory management with focus on purchasing department, inventory movements, stocking and planning. Thesis solve problem by introducing Kanban system in field of inventory management, ABC analysis and evaluation of suppliers in the area of purchasing. The purpose of the master´s thesis is to submit suitable solutions, which can improve existing processes in inventory management and purchases.
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Balloon Pilot's Assistent
Hora, Tomáš ; Szőke, Igor (referee) ; Herout, Adam (advisor)
This thesis describes concept and implementation of application assisting balloon pilots with guiding to a chosen target. Theoretical part is focused on basics of ballooning and navigation. Designed application uses proprietary OziExplorer files, clearly displays all information from external GPS unit connected via COM port and saves travelled path and waypoints. Important feature of the application is getting forecast of wind flow in various altitudes from the internet before the flight and analysis of information from GPS for calculation actual air flow during flight. In the end of this thesis the application is tested in real environment and its functionality is evaluated.
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Comparison of compression algorithms for high definition video
Dvořák, Martin ; Polák, Ladislav (referee) ; Slanina, Martin (advisor)
Bachelor's thesis deals with comparison and analysis of various instruments of the present-day compression algorithms used to compress high-definition video. Video sequences require a large amount of memory for their storage and take up bandwidth for their transmission, so it is necessary to compress video signals with regard to the quality of video after decompressing. The work focuses mainly on the differences between the algorithms and overall performance. Part of this work is a compressed video database, comparing the performance of different algorithms and the subjective quality of compressed video.
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The Study of Purchasing with the linkage to Production Processes
Svída, Jaroslav ; Adámek, Pavel (referee) ; Jurová, Marie (advisor)
In this diploma work I have attempted to solve problems about managing manufactoring resources in company used in servicing electro-technical production. Problems about manufactoring resources appeared in a time due to a loss of a significant customer when manufactoring resources have became disfunctional. Manufactoring resources reduction policy has been applied in various ways which have led to a significant reduction of a company’s stock.
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Flood Prediction in Borovnice - Dalečín Measure Profiles
Hiesböcková, Tereza ; Janál, Petr (referee) ; Starý, Miloš (advisor)
Aim of a work is construction of forecasting models for prediction of flood flows of measuring profile Borovnice – Dalečín on the river Svratka. As a tool for issuing predictions will be used classic hydrological forecasting models, and models based on artificial intelligence methods. Predictive model will be consisting from summer flood flows for the years 1997-2007. In the end of the work will chosen a better method for issuing forecasts
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Stochastic management of water reservoir storage function
Pruch, David ; Matoušek, Petr (referee) ; Kozel, Tomáš (advisor)
The stochastic control of the reservoir storage function works with a certain number of control flow values with a certain probability distribution. For the requirement of stochastic control of the reservoir storage function, a stochastic prediction model based on the LHS method was compiled. The model works with random processes, which include flow in a specific measurement profile. Stochastic control has the advantage over deterministic control in the possibility of selecting a control for a particular probability scenario. Some deterministic methods as well as some stochastic methods are described very briefly. Furthermore, the thesis describes the procedure for the control of the reservoir storage function using the LHS method. The model was tested on a fictitious reservoar. In conclusion, the best and worst results were selected, which were then compared, so it could be determined which parametrs of calculation was most ideal for driving.
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Bug Prediction Using Data Mining of Test Result History
Matys, Filip ; Vojnar, Tomáš (referee) ; Šimková, Hana (advisor)
Software projects go through a phase of maintenance and, in case of open source projects, through hard development process. Both of these phases are prone to regressions, meaning previously working parts of system do not work anymore. To avoid this behavior, systems are being tested with long test suites, which can be sometimes time consuming. For this reason, prediction models are developed to predict software regressions using historical testing data and code changes, to detect changes that can most likely cause regression and focus testing on such parts of code. But, these predictors rely on static code analysis without deeper semantic understanding of the code. Purpose of this master thesis is to create predictor, that relies not only on static code analysis, but provides decisions based on code semantics as well.
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