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Popularity of Online Computer Gaming and Its Relation to People's Lifestyle in European Countries
Hlinka, Vladimír ; Šíma, Jan (advisor) ; Voráček, Josef (referee)
Title: Popularity of Online Computer Gaming and Its Relation to People's Lifestyle in European Countries Objectives: The aim of the thesis is to find possible associations between the popularity of online gaming, expressed as the number of players per 1 million inhabitants, and indicators of healthy or unhealthy lifestyles. If a statistically significant relationship between the variables is found, it is appropriate to further investigate the nature and strength of this association and compare the results of the thesis with other research in this area. Methods: Linear regression was used to analyze the secondary data. Pearson and Spearman correlation coefficients and Shapiro-Wilk normality test were used to test the assumptions of the regression analysis. Statistical significance of the data was tested at the significance level α = 0,05. The regression models were constructed after prior testing of the assumptions of the regression analysis using Jamovi. Results: After evaluating the assumptions of the regression analysis, a total of 4 regression models were constructed for the following variables: Smoking, Participation in Cultural and Sporting Events, Working Out and Not Drinking Alcohol. A significant relationship between the independent and dependent variables was observed in the case of...
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Analysis and forecasting of timeseries in financing
Maňásek, Erik ; Hübnerová, Zuzana (referee) ; Hrabec, Pavel (advisor)
The topic of this bachelor thesis is the technical analysis of stock market financial time series. The thesis discusses the method of decomposition into individual components, methods of analysis and prediction of these components. It also provides a comparison of the methods used, their evaluation and an outline of some of their characteristics, both good and bad.
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Air quality measurement with prediction
Sadriyeva, Kamilya ; Janoušek, Oto (referee) ; Čmiel, Vratislav (advisor)
This work focuses on the issue of measuring and predicting indoor air quality using the Python programming language. It includes an analysis of existing methods for air quality monitoring, the design of a data collection model, the creation of a predictive model, and the application of computational algorithms to address this issue.
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Modern statistical approach in evaluating the compressive strength of concrete in structures using the rebound hammer method
Janka, Marek ; Kocáb, Dalibor (referee) ; Misák, Petr (advisor)
This diploma thesis examines various linear regression methods and their use to establish regression relationships between the compressive strength of concrete determined by the indirect method and by the crushing of the specimens in the press. It deals mainly with the uncertainty of values measured by the indirect method, which is neglected by the usually used ordinary least squares regression method. It also deals with the weighted least squares method, suitable for so-called heteroskedastic data. It compares different regression methods on several sets of previously measured data. The final part of the work examines the effect of removing too influential points identified by Cook's distance, which may skew the regression results.
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Technical Analysis
Kotásek, Lukáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
Thesis is focused on CAPM model. Characteristics of five chosen stocks of NASDAQ capital market are calculated using linear regression. Market index S&P 500 is used to represent the market. Calculated values are verbally interpreted. As a presented solution, a program is created in VBA language, that will help the user to convert historical stock data from Yahoo! Finance to form, that can be used for calculations. The program will then use the data to calculate said characteristics. Program is also tested on function and performance using larger amounts of historical data.
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Creation of New Prediction Units in Data Mining System on NetBeans Platform
Havlíček, David ; Bartík, Vladimír (referee) ; Lukáš, Roman (advisor)
The issue of this master's thesis is a creation of new prediction unit for existing system of knowledge discovery in database. The first part of project deal with general problems of knowledge discovery in database and predictive analysis. The second part of the project deal with system developed on FIT, for which is module implemented, used technologies, concept and implementation of mining module for this system. The solution is implemented in Java language and is a built on the NetBeans platform.
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Computational tasks for Parallel data processing course
Horečný, Peter ; Rajnoha, Martin (referee) ; Mašek, Jan (advisor)
The goal of this thesis was to create laboratory excercises for subject „Parallel data processing“, which will introduce options and capabilities of Apache Spark technology to the students. The excercises focus on work with basic operations and data preprocessing, work with concepts and algorithms of machine learning. By following the instructions, the students will solve real world situations problems by using algorithms for linear regression, classification, clustering and frequent patterns. This will show them the real usage and advantages of Spark. As an input data, there will be databases of czech and slovak companies with a lot of information provided, which need to be prepared, filtered and sorted for next processing in the first excercise. The students will also get known with functional programming, because the are not whole programs in excercises, but just the pieces of instructions, which are not repeated in the following excercises. They will get a comprehensive overview about possibilities of Spark by getting over all the excercices.
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Quality of The Track Geometry Progress
Nejezchlebová, Jitka ; Kulich, Pavel (referee) ; Svoboda, Richard (advisor)
The bachelor ’s thesis deals with the development of track geometry over time. The theoretical part describes the methodology for measuring and evaluating of track geometry. The practical part deals with the section evaluation on the double-track line Brno Maloměřice - Adamov. The MATLAB system was used for evaluation. For chosen sections, the graphs were regressed to determine the quality development for all parameters. Regressions were also used to determine which parameter deteriorates the fastest over time, in which track the parameters deteriorate faster and whether it can be said that the increase is faster before or after the repair.
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Regression Analysis of Spatially and Time Distributed Data
Rosecký, Martin ; Hübnerová, Zuzana (referee) ; Bednář, Josef (advisor)
This thesis summarizes findings about municipal solid waste (MSW) forecasting. Basic information about linear regression and correlation analysis were described. Analysis of influencing factors was realized on municipality with extended competence level. The resulting models explain up to 99 % of variability. Final models of MSW per capita explain between 12 and 75 % of variability. Variability explained by model of MSW per capita is lower by 20 % than comparable study which however uses data that are not usually available. Models can be used in waste management and their simplicity is benefit for real usage.
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Gender Recognition from Photograph
Kałuża, Marian ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This paper presents a multiresolution approach for gender recognition based on Histogram of Oriented Gradients and Local Binary Patterns. The experiment showed that gender recog- nition accuracy can be improved not only by aquiring different features on the same image resolution but even by gathering just a single feature at different image scales. The pre- sented approach is quite competitive with above 95% accuracy in both evaluated datasets.
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