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Ladění parametrů LQG řízení pomocí evolučních metod
Marton, Filip ; Brablc, Martin (referee) ; Grepl, Robert (advisor)
This master thesis deals with the design of evolutionary algorithms to optimize LQG control of two laboratory models. It also deals with the creation of simplified models used to describe real models and with the subsequent estimation of their parameters. After this section it deals with optimization of control parameters with the use of simplified models, testing the control on laboratory models and summarizing the results of controlling the models.
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Fuzzy Models of Driver Behaviour
Fišer, Michal ; Mihálik, Ondrej (referee) ; Jirgl, Miroslav (advisor)
The master's thesis is concerned with finding a suitable fuzzy model for approximating data series representing driver's control interventions during lane changes. Firstly, the theoretical part presents an introduction to driver modelling and human-machine systems, the basics of fuzzy logic, fuzzy systems and controllers, optimization methods and a vehicle driving simulator. The thesis focuses mainly on McRuer models of human operator behaviour in~the area of driver behaviour modelling and genetic algorithms in~the area of optimisation methods. Based on this theory, individual linear models of driver behaviour are subsequently developed. The data were collected on a vehicle driving simulator. On this simulator, several experiments were conducted to measure the driver's response to a step change. Subsequently, the individual driver models were identified from the measured data using the System Identification Toolbox in Matlab. Furthermore, the design of a suitable fuzzy model structure is described. This is followed by~a~description of the genetic algorithm used to identify the fuzzy model and finally the~linear and fuzzy models are compared.
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Detection of poorly differentiated cardiac arrhythmias
Kantor, Marek ; Ronzhina, Marina (referee) ; Novotná, Petra (advisor)
This thesis focusses on the detection methods of atrial fibrilation, atrial flutter and sinus rhythm from ECG. Thesis also concentrate on the description of this arrhythmias and the learning algorithms used. In this thesis are implemented several classification approaches. For extraction of features is used convolution neural network and classification artifitial neural network. Selected 1D CNN method achived classification accuracy global F1 - score is 91 %. Moreover, the proposed CNN optimized with GA appears to be fast shallow network with better accuracy than the deep network. Created model are used for classification other type of arrhythmias too.
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Deposition of Ga nanostructures on graphene membranes
Severa, Jiří ; Mikulík, Petr (referee) ; Mach, Jindřich (advisor)
This diploma thesis deals with the preparation of the graphene membranes for depo-sition of gallium atoms by the molecular beam epitaxy. In the first part properties ofgraphene and methods of its production are described. Second part focuses on the gra-phene membranes, their specific properties, applications and methods of production. Thirdpart describes growth theory of the thin films. Practical part is focused on preparationof graphene membranes, which consists of covering the holes in the silicon substrate bygraphene layer. For that mechanical exfoliated and chemical vapor deposited graphenewere used. Subsequently, gallium atoms were deposited on these membranes by molecularbeam epitaxy and in situ observed by scanning electron microscopy.
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The deposition of Ga and GaN nanostructures on silicon and graphene substrate
Novák, Jakub ; Jarý, Vítězslav (referee) ; Mach, Jindřich (advisor)
The thesis is focused on the study of properties of GaN nanocrystals and Ga structures on the surface of silicon and graphene substrate. In the theoretical part of this thesis, the basic properties of Ga/GaN and graphene are described, as well as their applications or connection of both structures together in different devices. The ability of metal nanoparticles to enhance not only photoluminescence, due to the interaction of the material with surface plasmons, is also shown in several examples. The experimental part of the work first deals with the production and characterization of graphene sheets prepared by Chemical Vapor Deposition. Ga/GaN growth on both types of substrates was performed in a UHV chamber using an effusion cell for Ga deposition and an atomic ion source for nitridation. Prepared structures were characterized using various methods (XPS, SEM, AFM, Raman spectroscopy or photoluminescence). In the last step, GaN nanocrystals were coated with Ga islands to study the photoluminescence enhancement.
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Assistant systems in car and aircraft control
Novotný, Timotej ; Horpatzká, Michaela (referee) ; Zikmund, Pavel (advisor)
The bachelor thesis deals with assistance systems in cars and aircraft. The aviation sector is focused on GA aircraft. This thesis describes assistance systems used in cars and aircraft, their contribution to traffic safety and limitations of these systems. The comparison of assisting systems in the automotive and aviation industries shows the difference in the speed of development in individual areas, which is caused mainly due to strict requirements for safety and reliability of aviation systems. Furthermore, we can see the difference in implementation of systems monitoring the condition of a driver/pilot. Although the work of a pilot is more demanding than the work of a driver, today’s aircraft do not have a system for monitoring the condition of a pilot or an emergency landing system. Part of the thesis concerning future assistance systems in aviation is devoted to the system monitoring the pilot’s condition and the automatic landing system. Both systems are still under development. However, experiments have shown that these systems could be implemented in future aircraft and increase aviation safety. The last part of the thesis mentions the future of assistance systems, which create a path to autonomous vehicles.
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Linear crane trajectory design and control
Krakovský, Jozef ; Appel, Martin (referee) ; Bastl, Michal (advisor)
This thesis deals with control of linear bridge cranes using three selected methods. In theoretical part, it gives information about basic structure of each selected algorithm and basic mathematical relations. In the middle, control of algorithms is simulated using created simulation programs in MATLAB. After that, the algorithms are applied on laboratory model of linear crane and in the end all of them are evaluated according to achieved results.
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Deposition of GaN nanocrystals with Ga droplets
Novák, Jakub ; Voborný, Stanislav (referee) ; Mach, Jindřich (advisor)
This bachelor thesis deals with preparation and characterization of Ga structures and GaN nanocrystals. In the theoretical part, properties and applications of GaN are introduced. Further, some substrates for the growth and some techniques used for manufacturing of these structures are stated. Further, is also mentioned the photoluminiscence of GaN. The experimental part deals with preparation of Ga and GaN structures and combination of both. These structures were further analyzed by various methods such as XPS, SEM or photoluminiscence.
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Deposition and characterization of GaN nanocrystals with a metal core
Čalkovský, Vojtěch ; Čech, Vladimír (referee) ; Mach, Jindřich (advisor)
Tato diplomova prace se zabyva prpravou a charakterizac GaN nanokrystalu s kovovym jadrem. V teoreticke casti teto prace je predstaven material GaN se svymi vlastnos- tmi a aplikacemi. Dale jsou uvedeny substraty pro rust a jednotlive mechanismy rustu GaN nanokrystalu. V dalsm jsou popsany kovove nanocastice a jejich opticke vlastnosti umoznujc zesilovan fotoluminiscence na zaklade interakce plasmonu a GaN. Experi- mentaln cast se zabyva prpravou GaN nanokrystalu s Ag jadrem ve ctyrech krocch. Prvne jsou Ag nanocastice naneseny na substrat Si(111). Nasledne se nechaj zoxidovat. Tretm krokem je depozice Ga a poslednm je nitridace. Jednotlive kroky byly opti- malizovany a analyzovany ruznymi metodami, jako je XPS, SEM, fotoluminiscence a Ramanova spektroskopie.
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