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Neural Modeling of Electromagnetic Fields in Cars
Kotol, Martin ; Škvor, Zbyněk (referee) ; Koudelka, Vlastimil (referee) ; Raida, Zbyněk (advisor)
Disertační práce se věnuje využití umělých neuronových sítí pro modelování elektromagnetických polí uvnitř automobilů. První část práce je zaměřena na analytický popis šíření elektromagnetických vlny interiérem pomocí Nortonovy povrchové vlny. Následující část práce se věnuje praktickému měření a ověření analytických modelů. Praktická měření byla zdrojem trénovacích a verifikačních dat pro neuronové sítě. Práce se zaměřuje na kmitočtová pásma 3 až 11 GHz a 55 až 65 GHz.
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Advanced microwave filter analyses and design
Čáslavský, Jan ; Urbanec, Tomáš (referee) ; Koudelka, Vlastimil (advisor)
his thesis investigates the design methodology of microstrip filters. The work deals with important steps in microwave filter design. Namely, the selection of approximate function and suitable representation of ideal filter elements are investigated. The basic design approach is demonstrated on the simple examples of microwave filters. These designed filters are analyzed in the program Ansoft Designer.
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Microstates analysis in EEG data of sleep-deprived subjects
Křápková, Monika ; Koudelka, Vlastimil (referee) ; Lamoš, Martin (advisor)
This bachelor’s thesis deals with the processing and analysis of EEG data in sleep deprived subjects. In the theoretical part, the electroencephalography method is presented first. Further, there are possibilities of preprocessing and analysis of EEG data, introduction to statistics, and the last one is a research on the influence of sleep deprivation on human electrophysiology. The practical part consists of the preprocessing of EEG data, EEG microstates analysis and statistical evaluation of the results from the study of sleep deprivation. Finally, the results of this part are discussed in a separate chapter.
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Neural networks for EMC modeling of small airplanes
Koudelka, Vlastimil ; Goňa,, Stanislav (referee) ; Raida, Zbyněk (advisor)
This thesis deals with neural modeling of electromagnetic field inside small aircrafts, witch can contain composite materials in their construction. Introduction to neural networks and its application in EMC of small airplanes is discussed in the first part of the text. In the second part of this thesis we design a simple EM model of small airplane. The airplane is simulated by two parallel dielectric layers (the left-hand side wall and the right hand side wall of the airplane). The layers are put into a rectangular metallic waveguide terminated by the absorber in order to simulate the illumination of the airplane by the external wave (both of the harmonic nature and pulse one). Numerical analyses are performed to search the relations between the distribution of an electromagnetic field inside the aircraft and electric parameters of model walls. The results of numerical analyses are used to train two types of neural network. In this way we can obtain accurate continuous model of electromagnetic field inside the aircraft. For the comparison with neural networks a multi-dimensional cubic spline interpolation is provided also. Neural classifiers are also investigated. We use them for classification of imaginary composite materials in terms of EMC. The nearest neighbour algorithm is applied as a classic approach to problem of classification.
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Human brain and its modeling
Zelenka, Pavel ; Koudelka, Vlastimil (referee) ; Raida, Zbyněk (advisor)
The project deals with the development of a computer model of human brain. The model is used in the simulation program CST STUDIO SUITE 2015 to show the distribution of electromagnetic waves. The outputs of simulations should help us with a better understanding of electromagnetic field behavior inside the brain. In real life, the model will be used for the verification of methods localizing source currents in the brain.
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Modeling the brain of a rat
Kuřátko, David ; Koudelka, Vlastimil (referee) ; Raida, Zbyněk (advisor)
This master’s thesis deals with creation and modification of several numerical rat’s brain models which are subsequently used in electromagnetic software CST Studio Suite 2014. The first part of the thesis is focused to insertion of exciting source to the model which depends on the used approach. These sources produce signals on the surface of the rat’s brain model which are then analysed. The experimental part of the thesis dealt with three different procedures of cooking agar jelly, which were used for creation of five plate capacitors, which subsequently served for measure electric properties of phantom. The conclusion of this master’s thesis is focused on comparison between results from simulations and experimental parts with a subsequent analysis of the deviations of results and their possible causes.
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Probabilistic Neural Networks for Special Tasks in Electromagnetics
Koudelka, Vlastimil ; Tučková,, Jana (referee) ; Hartnagel, Hans Ludwig (referee) ; Raida, Zbyněk (advisor)
Tato práce pojednává o technikách behaviorálního modelování pro speciální úlohy v elektromagnetismu, které je možno formulovat jako problém aproximace, klasifikace, odhadu hustoty pravděpodobnosti nebo kombinatorické optimalizace. Zkoumané methody se dotýkají dvou základních problémů ze strojového učení a combinatorické optimalizace: ”bias vs. variance dilema” a NP výpočetní komplexity. Boltzmanův stroj je v práci navržen ke zjednodušování komplexních impedančních sítí. Bayesovský přístup ke strojovému učení je upraven pro regularizaci Parzenova okna se snahou o vytvoření obecného kritéria pro regularizaci pravděpodobnostní a regresní neuronové sítě.
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Implantable circularly polarized antenna
Šebo, Richard ; Koudelka, Vlastimil (referee) ; Raida, Zbyněk (advisor)
Táto práca sa zaoberá novou miniaturizovanou kruhovo polarizovanou mikropáskovou anténou v tvare kruhu, ktorá bola navrhnutá pre Industrial, Scientific, and Medical pásmo (2.4 -- 2.5 GHz). Navhrnutá anténa bola vytvorená v ANSYS HFSS, najprv bola umiestnená do jendnovrstvého modelu ľudskej kože a jej parametre sú porovnané s pôvodným listom. Anténa je potom umiestnená do trojvrstvého modelu ľudského tkaniva a je pozorované ako iné prostredie a rôzna hĺbka implantácie ovplyvňuje jej parametre. Anténa bola optimalizovaná na dostupné substráty, vyrobená a zmeraná. Lineárne polarizovaná prijímacia anténa bola navrhnutá a vyrobená a bol zmeraný prenos medzi ňou a kruhovo polarizovanou anténou pri rôznych vzájomných orientáciach.
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Parking Spot Recognition by Artificial Intelligence
Sicha, Marek ; Koudelka, Vlastimil (referee) ; Kadlec, Petr (advisor)
This thesis deals with the recognition of parking spots in images using artificial intelligence. The goal of the work was to study neural networks and select a suitable network to solve the problem. Python programming language was chosen for implementation and Mask R-CNN convolutional network was selected as a suitable neural network. To train the neural network, a custom dataset was created which contains images captured from street cameras. The trained network was then implemented in a program that easily provides information about available parking spaces in a particular area. The program analyzes images from cameras in parking lots and on streets, identifies the number of available parking spaces, and displays this information on a map.
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Microstates analysis in EEG data of sleep-deprived subjects
Křápková, Monika ; Koudelka, Vlastimil (referee) ; Lamoš, Martin (advisor)
This bachelor’s thesis deals with the processing and analysis of EEG data in sleep deprived subjects. In the theoretical part, the electroencephalography method is presented first. Further, there are possibilities of preprocessing and analysis of EEG data, introduction to statistics, and the last one is a research on the influence of sleep deprivation on human electrophysiology. The practical part consists of the preprocessing of EEG data, EEG microstates analysis and statistical evaluation of the results from the study of sleep deprivation. Finally, the results of this part are discussed in a separate chapter.
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