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Data Mining Methods for Text Analysis
Kozák, Ondřej ; Marcoň, Petr (referee) ; Dohnal, Přemysl (advisor)
This bachelor thesis explores the current methodology and possibilities of text mining and the subsequent application of some methods. The thesis described methods for preprocessing, methods for converting text to vector space and methods for text analysis and discusses their possible applications. The different preprocessing methods were applied to the text and then the conversion to vector space was demonstrated using simple methods such as BOW, Bag of n-grams, TF-IDF or with machine learning methods which are FastText and GloVe. LSA, LDA, TextRank and cosine similarity methods were applied to the extracted vectors to extract information from the text.
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Face Detection and Identification
Konôpková, Júlia ; Drahanský, Martin (referee) ; Váňa, Jan (advisor)
This work is focused on the problematic of face detection and identification in photography. The introduction is devoted to the most popular methods with briefly descriptions of their principles and rules. Within the practical part of this work we implement and test on free available databases the several of these methods. In the conclusion we evaluate the results and addition of this whole work.
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Influence of operational conditions on spray characteristics of twin-fluid atomizers
Zaremba, Matouš ; Lízal, František (referee) ; Jedelský, Jan (advisor)
This master’s thesis deals with measurement of spray characteristics of Effervescent atomizers intended for burning waste and heavy fuels. Atomizers were tested on cold test bench by means of Phase Doppler Anemometry. Spray characteristics were evaluated for many different regimes of pressure, temperature and Gas to liquid ratio. The aim of this measurement is to compare flow regimes and their influence on the quality of spray characteristics. The theoretical part describes basic fundamental principles of liquid atomization, effervescent atomization and principles of laser diagnostic methods. The practical part is engaged with improvements in test bench and setting up and optimization of the laser measuring system. Results contain visualization of spray, velocity profiles and drop size distribution in various operating flow regimes of the jet.
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Person Identification
Ťapuška, Tomáš ; Zuzaňák, Jiří (referee) ; Hradiš, Michal (advisor)
This master's thesis is about the most known methods for face recognition. There are described their advantages and disadvantages. This work is specialized at holistic methods for face recognition, which are working with 2D pictures of people. I implemented the automatic system for face recognition according to digital picture of face. There was, in this system, implemented these methods: KNN (K nearest neighbour), PCA (Principal component analysis) and LDP (Linear doscriminant projection). There was done some tests to compare implemented methods. The tests was done on the pictures from dataset FERET. In the conclusion of this text are considered implemented approaches and is marked the best method for face recognition from implemented.
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Face Reader
Bučko, Peter ; Juránek, Roman (referee) ; Beran, Vítězslav (advisor)
This thesis deals with computer face recognition. Methods of Components Analysis (PCA), Linear Discriminant Analysis (LDA) and Elastic Bunch Graph Matching (EBGM) are described here. Aim of this thesis is creation of a demonstration aplication for a face recognition. Moreover I test PCA and LDA methods to find out, how accurate it can be and how can be affected by changing of parameters, such as size of a database and picture count per person.
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Methods and algorithms for face recognition
Soukup, Jiří ; Heriban, Pavel (referee) ; Šťastný, Jiří (advisor)
This work is describing basic methods of face recognition. The methods PCA, LDA, ICA, trace tranfsorm, elastic bunch graph map, genetic algorithm and neural network are described. In practical part, the PCA, PCA + RBF neural network and genetic algorithms are implemented. The RBF neural network is used in the way of clasificator and genetic algorithm is used for RBF NN training in one case and for selecting eigenvectors from PCA method in the other case. This method, PCA + GA, called EPCA, outperform other methods tested in this work on the ORL testing database.
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Person Identification and Verification Using EEG
Žitný, Roland ; Orság, Filip (referee) ; Tinka, Jan (advisor)
The aim of this work was to create a brain-computer interface that reliably identifies and verifies a person using his electroencephalographic signals. Creating a user profile and verifying it is based on processing reactions to his own face, and the face of strangers or acquaintances. Algorithms such as bandpass and noise removal using wavelet transformation are user to filter signals. The classification of reactions is performed using a convolutional neural network or linear discriminant analysis. The average accuracy of the linear discriminant analysis is 66.2 % and of the convolutional neural network is 58.7 %. The maximum achieved accuracy was with linear discriminant analysis and at 93.7 %.
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Time evolution of velocity distribution in the specific area of the calibration channel
Kosík, Ondřej ; Žoužela, Michal (referee) ; Zubík, Pavel (advisor)
This bachelor thesis deals with the verification and determination of the degree of reliability of the calibration track. The mean speed values for individual reference speeds, which ranged from 0,0507-1,4036 m•s-1, were measured by LDA. With increasing speed, the mean square deviation also increased, reaching the highest value of 0,0034 m•s-1. The percentage deviation, which is core value for the given measurement, on the other hand, changed inversely with respect to the mean values of the speed and its values ranged from 0,242-0,473 %.
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Laser Doppler anemometry
Osička, Tomáš ; Lízal, František (referee) ; Jedelský, Jan (advisor)
This bachelor thesis deals with laser Doppler anemometry (LDA). It is a modern, non-intrusive flow measurement technique. The work deals with theoretical principles and components of the method. The experimental part is devoted to setting of the system. Vector plot and profile plot display the measurement results.
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Methods for determining aerodynamic properties of vehicles
Páleš, Patrik ; Blaťák, Ondřej (referee) ; Čavoj, Ondřej (advisor)
The aim of the bachelor’s thesis is a description of methods being used for measurements of aerodynamic characteristics of automobiles. The exact determination of the aerodynamic characteristics requires sophisticated testing equipment and advanced engineering procedures. The research comprises several approaches. Computational fluid dynamics (CFD) is based on turbulent models application such as RANS, LES and DNS. Pressure distribution on a vehicular body surface and an air flow along the vehicle are monitored in wind tunnels. Flow visualization is carried out by optical (PIV, LDA) and non-optical methods. Experimental road testing methods are focused on multiple parameters including a vehicle directional stability, its cross-wind sensitivity, engine cooling system and many others.
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