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Analysis of acoustic and electromagnetic emission signals
Boudný, Petr ; Káňa, Ladislav (referee) ; Sadovský, Petr (advisor)
Master´s thesis is focused to analyse the acoustic and electomagnetic emission signals. These signals generate external power applied on the material. This power put there plastic deformation and create cracks. Spectral analyse show that signals are non-stationary. Wavelet transformation was used to spectral analyse which informate about time-frequence vaules of the signal.
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EEG Analysis During Anaesthesia
Hodulíková, Tereza ; Kolářová, Jana (referee) ; Sadovský, Petr (advisor)
This master's thesis deals with the method of functional examination of brain electric activity. In the first part is description of central nervous system, method of electroencephalography and possible connections. Furthermor the project involves characteristic of EEG signal and its artifacts. It also includes signal processing and list of symptoms, which will be used for an analysis of the EEG during anesthesia. The second part of thesis involves development of application, which allow viewing and proccesing of EEG signal. In conclusion of thesis is carried out unequal segmentation and statistical processing.
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Automation of climatic data acquisition
Sádovský, Petr ; Pikula, Stanislav (referee) ; Uher, Miroslav (advisor)
The goal of this work is to understand and identify the communication of the COMET S3120E datalogger. Subsequent design of a circuit solution that will allow two-way communication with the datalogger and the compilation of control software for the PC. The basis of the work is a theoretical and practical part. In the theoretical part of this document is a theoretical description of the functionality of the datalogger and its components. It also contains a description of the software used to achieve the goals. The las part deals with circuit design and software for PC.
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Wheelchair control using EEG signal classification
Malý, Lukáš ; Sadovský, Petr (referee) ; Žalud, Luděk (advisor)
Tato diplomová práce představuje koncept elektrického invalidního vozíku ovládaného lidskou myslí. Tento koncept je určen pro osoby, které elektrický invalidní vozík nemohou ovládat klasickými způsoby, jakým je například joystick. V práci jsou popsány čtyři hlavní komponenty konceptu: elektroencefalograf, brain-computer interface (rozhraní mozek-počítač), systém sdílené kontroly a samotný elektrický invalidní vozík. V textu je představena použitá metodologie a výsledky provedených experimentů. V závěru jsou nastíněna doporučení pro budoucí vývoj.
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Human Sleep EEG Analysis
Sadovský, Petr ; Rozman, Jiří (advisor)
This thesis deals with analysis and processing of the Sleep Electroencephalogram (EEG) signals. The scope of this thesis can be split into several areas. The first area is application of the Independent Component Analysis (ICA) method for EEG signal analysis. A model of EEG signal formation is proposed and conditions under which this model is valid are examined. It is shown that ICA can be used to remove non-deterministic artifacts contained in the EEG signals. The second area of interest is analysis of stationarity of the Sleep EEG signal. Methods to identify stationary signal segments and to analyze statistical properties of these stationary segments are presented. The third area of interest focuses on spectral analysis of the Sleep EEG signals. Analyses are performed that shows the processes that form particular parts of EEG signals spectrum. Also, random signals that are an integral part of the EEG signals analysis are performed. The last area of interest focuses on elimination of the transition processes that are caused by the filtering of the short EEG signal segments.
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Processing of modern microscope signals for local material characterization
Kaspar, Pavel ; Sadovský, Petr (referee) ; Tománek, Pavel (advisor)
Signal processing from modern microscopes for local characteristics of materials Image processing is more and more important for the advancement of image evaluation taken from microscopes. This thesis engages the problem of artefact detection and removal from images taken by electron microscope, more accurately by low energy electron microscopy (LEEM). It then offers a possible course of processing such images by edge detection and its theoretical use. These operations are all made in MatLAB language.
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Application of electromagnetic and acoustic emission signals for localization of cracks generated during mechanical stressing of solids
Burděj, Václav ; Sadovský, Petr (referee) ; Koktavý, Pavel (advisor)
Terms of acoustic emission (AE) and electromagnetic emission (EME) designated physical effects and also as diagnostic methods based on these effects. These effects are caused by generated cracks in materials that rank among non-destructive techniques of material diagnostics. The advantage of them is that they do not affect the measured object and give us information about the current dynamic state of a tested material. One disadvantage of these effects is that they provide very low energy of signal emissions and make it difficult for broader usage. It is expected better localization of cracks in non-conductive materials by connecting of these two techniques (diagnostics). There are designed and described new methods for crack detection with usage of AE and EME signals in this work. Also there is description of measuring arrangement intended of crack detection and experimental sample for checking accuracy of methods for crack detection. There was performed comparison of accuracy of methods in crack detection.
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Web Application for Management of University Projects
Shapochkin, Viktor ; Sadovský, Petr (referee) ; Hynek, Jiří (advisor)
This bachelor thesis deals with the design, implementation and testing of a web application for the administration and management of university projects. The application allows users to create, monitor and edit the projects. The progress and status of projects is represented by a Gantt Chart. The application is implemented in JavaScript and is divided into two partsserver and client. The server runs on the Node.js runtime environment using the Express.js interface and the MongoDB database. The client part of the application is implemented using the React JavaScript library.
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Principle of Argument Increment For Searching Polynomial Roots
Tošer, Pavel ; Tofel, Pavel (referee) ; Sadovský, Petr (advisor)
Several methods exist for searching multinominal roots. Methods in more cases are used only for special solves. The goal of this thesis is to discover solution for searching multinominal roots. The process is based on optimal iterative method in combination with priciple of argument increment. There is no procedure solving it in this way up to now. This method removes shortcomings already existing methods and she could also complement them with a new knowledge.
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