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Load influence on baroreflex sensitivity
Szöllösi, Tomáš ; Provazník, Ivo (referee) ; Kolářová, Jana (advisor)
The topic of my Bachelor thesis is focused on through acquaintance problems of load influence on baroreflex sensitivity, to creat measuring protocol and implementation of this measurement. In this project, I examined how baroreceptors and then baroreflex work. I also note with physiology of blood circulation, and I examined the different types of measurement baroreceptor sensitivity. I did the measurement by measuring protocol. I evaluated the results using spectral methods and processed in Matlab. Finally, I have different results statistically evaluated using T-test.
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Design of experiments for quality optimization
Havlásek, Radim ; Kosina, Petr (referee) ; Novotný, Radovan (advisor)
This thesis is aimed to Design of Experiments methodology. Main purpose of this thesis is to create detailed materials for lessons of Design of Experiments in Quality Control courses. Thesis contains case studies which are applicable for education purposes. Design of Experiments has been applied for solder joints quality evaluation. Solder joints have been modeled in software ANSYS and finite element method has been applied for thermomechanical stress evaluation.
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Tool for Classification of Lifestyle Traits Based on Metagenomic Data from the Large Intestine
Kubica, Jan ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
This thesis deals with analysis of human microbiome using metagenomic data from large intestine. The main focus is placed on bacteria composition in a sample on different taxonomic levels regarding the lifestyle traits of an individual. For this purpose, a tool for classification of several attributes was created. It considers attributes like diet type and eating habits (vegetarian, vegan, omnivore), gluten and lactose intolerance, body mass index, age or sex. From range of machine learning perspectives considering K Nearest Neighbours (kNN), Random Forest (RF) and Support Vector Machines (SVM) were used. Datasets for training and final evaluation of the classifier were taken from American Gut project. The thesis also focuses on particular problems with metagenomic datasets like its multidimensionality, sparsity, compositional character and class imbalance.
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EEG Signal Analysis during the Stroop Test
Tolaszová, Eva ; Roman,, Robert (referee) ; Sekora, Jiří (advisor)
Master’s thesis deals with the measurement of biological signals for the effect of psychological burden. To monitor this effect was elected Stroop test, which is in the psychology used to detect disorders of attention and concentration. EEG and ECG signals during Stroop test were obtained using the EEG recording systém, in the context of research evoked potentials. As a part of the work it has been designed custom application for analyzing and interpreting data and statistical analysis by t-test.
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Experimental testbed for power side channel analysis
Gajdošík, Ester ; Martinásek, Zdeněk (referee) ; Gerlich, Tomáš (advisor)
This bachelor’s thesis focuses on the implementation of a Power side channel attack on three experimental workplaces with the implemented AES-128 encryption algorithm. For these purposes are used FPGA boards SAKURA G, SAKURA X and Chipwhisperer CW305. The theoretical part of the work is focused on the principles of side channel attacks, while the main emphasis is on power analysis and its two methods – simple (SPA) and differential (DPA). The aim of the practical part is to compare the waveforms obtained from workplaces using the TVLA (Test Vector Leakage Assessment) leakage detection methods.
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Experimental testbed for power side channel analysis
Gajdošík, Ester ; Martinásek, Zdeněk (referee) ; Gerlich, Tomáš (advisor)
This bachelor’s thesis focuses on the implementation of a Power side channel attack on three experimental workplaces with the implemented AES-128 encryption algorithm. For these purposes are used FPGA boards SAKURA G, SAKURA X and Chipwhisperer CW305. The theoretical part of the work is focused on the principles of side channel attacks, while the main emphasis is on power analysis and its two methods – simple (SPA) and differential (DPA). The aim of the practical part is to compare the waveforms obtained from workplaces using the TVLA (Test Vector Leakage Assessment) leakage detection methods.
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Differential analysis of online handwriting versus pen and paper handwriting.
Plaček, Ivo ; Mekyska, Jiří (referee) ; Mucha, Ján (advisor)
The presented diploma thesis presents a basic introduction with the writing and its development, writing disordes, used devices for online writing and their software. It also contains the collected data, which is then analyzed to determine the difference between the tested devices. The main part of the work is devoted to the evaluation of the differences between writing on paper and digitizing tablets, both from the point of view of the differences in individual parameters, and also from the point of view of the influence of the differences in these parameters by the age groups of the respondents and their gender.In the course of the work, a comparison of individual parameters was performed, a T-test was performed between parameters in individual groups created according to the age of the respondents, but also between their genders. Subsequently, a correlation analysis was carried out and, at the end of the work, an evaluation of the results, when differences were found in the speed of writing, its width and the pressure on the pen when writing on individual devices..
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Milk and milk products in the diet of Youth (11 - 15 aged) of Primary School Domažlice, Komenského 17
Rybárová, Petra ; Váchová, Alena (advisor) ; Kovaříková, Miroslava (referee)
This thesis is concerned on the theme Milk and dairy products in nutrition of pupils aged 11 to 15 years. The theoretical part is based on the chemical composition of milk of general aspect and there are characterized some chosen kinds of dairy products and their effects on human health. The practical part is concerned on the research of being some statistically significant differences in consumption of milk and dairy products of the point of view of gender, age and access to milk and diary products in the families. The research is further based on the finding of the levels of probands'knowledge about the composition and the influence of milk to the human organism. The research sample is formed by 240 pupils of Secondary school in Domažlice, Komenského 17. The results show neither the gender, age or access to milk and diary products in the families do not affect the consumption of milk and dairy products of individual probands. The education unit whose aim is to increase the knowledge about milk of second graders in elementary schools is proposed on basis of identified facts.
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Maximum Return Portfolio
Palko, Maximilián ; Večeř, Jan (advisor) ; Šmíd, Martin (referee)
Classical method of portfolio selection is based on minimizing the variabi- lity of the portfolio. The Law of Large Numbers tells us that in case of longer investment horizon it should be enough to invest in the asset with the highest expected return which will eventually outperform any other portfolio. In our thesis we will suggest some portfolio creation methods which will create Maxi- mum Return Portfolios. These methods will be based on finding the asset with maximal expected return. That way we will avoid the problem of estimation errors of expected returns. Two of those methods will be selected based on the results of simulation analysis. Those two methods will be tested with the real stock data and compared with the S&P 500 index. Results of the testing suggest that our portfolios could have an application in the real world. Mainly because our portfolios showed to be significantly better than the index in the case of 10 year investment horizon. 1
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Tool for Classification of Lifestyle Traits Based on Metagenomic Data from the Large Intestine
Kubica, Jan ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
This thesis deals with analysis of human microbiome using metagenomic data from large intestine. The main focus is placed on bacteria composition in a sample on different taxonomic levels regarding the lifestyle traits of an individual. For this purpose, a tool for classification of several attributes was created. It considers attributes like diet type and eating habits (vegetarian, vegan, omnivore), gluten and lactose intolerance, body mass index, age or sex. From range of machine learning perspectives considering K Nearest Neighbours (kNN), Random Forest (RF) and Support Vector Machines (SVM) were used. Datasets for training and final evaluation of the classifier were taken from American Gut project. The thesis also focuses on particular problems with metagenomic datasets like its multidimensionality, sparsity, compositional character and class imbalance.
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