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Microscope and it´s use in engineering practice
Kopecký, Jiří ; Dostál, Lukáš (referee) ; Veselka, František (advisor)
This work deals with the use of the light microscope in industry and its use within the automatization of the diagnostic method specialized on electrical machines with a sliding contact. The method is called the dust particles method and it is used to determine the loss of the brushes used in the machines. The current method involves a manual evaluation of an acquired data, which demands additional tests and the evaluation itself is very difficult. The objective of this work is to simplify and accelerate the method using the computer analysis. First, the usage of the light microscope, through which the samples are obtained, is showed. The method uses these samples as the input. Then, the principles of the dust particles method are demonstrated and the image analysis using the MATLAB program follows. The guide to the image analysis with the elimination of rising defects using the MATLAB program is available. Then, the volume of the intercepted dust particles is calculated using the MATLAB program. The dust particles were obtained from the LFC 55h brush using the Arsenal LPT 1513 – T light microscope.
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Modern methods of QRS detection
Fajkus, Jiří ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
This bachelor’s thesis deals with methods, which are used for processing of ECG signals, specifically for the detection of QRS complexes. The QRS detection is an essential part of every ECG analysis because it is a source of points with timing information, which are used for classification and measurement of other waves and intervals required for diagnostics. Some ways of QRS detection are described in this work and there is also a description of detector implemented in programming environment MATLAB, which is based on zero crossing counts. This QRS detector was then tested CSE database and signals from Holter examination.
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Fingerprint biometry
Smékal, Ondřej ; Drahanský, Martin (referee) ; Fedra, Petr (advisor)
Algorithms designed for identification and verification persons by fingerprints recognition are spread and used as in forensics aplications as in private sector for a long time. The aim of this thesis is to make us aquainted with various aplicated mathematic models of fingerprint processing in digital way. Second task is the presentation algorithmic solution of chosen subject identification procedure by force of Fingerprint matching. Algorithm is solid in the development environment platform Matlab.
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Attacking biometric hashing via optimization techniques
Mlčáková, Kristýna ; Mokrý, Ondřej (referee) ; Rajmic, Pavel (advisor)
The thesis deals with biometric hashing, which is a two-factor authentication method that combines a secret key with biometric data in order to create a secure biomeric template for authentication purposes. The thesis first discusses the theoretical aspects of this issue and then focuses on the implementation of this concept. The paper also describes attacks on biometric hashing systems that are subsequently implemented. Practically performed attacks are based on the assumption that the attacker knows the user’s secret key and biohashes stored in the database. Two methods of attacks are applied. These methods are able to reconstruct the biometric data of an authorized user and related biohashes. Methods are based on 1-bit compressive sensing approach. The aim of the thesis is to evaluate the effectivity of the attacks on biometric hashing systems and to make a conclusion about the security of such systems.
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Microscope and it´s use in engineering practice
Kopecký, Jiří ; Dostál, Lukáš (referee) ; Veselka, František (advisor)
This work deals with the use of the light microscope in industry and its use within the automatization of the diagnostic method specialized on electrical machines with a sliding contact. The method is called the dust particles method and it is used to determine the loss of the brushes used in the machines. The current method involves a manual evaluation of an acquired data, which demands additional tests and the evaluation itself is very difficult. The objective of this work is to simplify and accelerate the method using the computer analysis. First, the usage of the light microscope, through which the samples are obtained, is showed. The method uses these samples as the input. Then, the principles of the dust particles method are demonstrated and the image analysis using the MATLAB program follows. The guide to the image analysis with the elimination of rising defects using the MATLAB program is available. Then, the volume of the intercepted dust particles is calculated using the MATLAB program. The dust particles were obtained from the LFC 55h brush using the Arsenal LPT 1513 – T light microscope.
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Modern methods of QRS detection
Fajkus, Jiří ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
This bachelor’s thesis deals with methods, which are used for processing of ECG signals, specifically for the detection of QRS complexes. The QRS detection is an essential part of every ECG analysis because it is a source of points with timing information, which are used for classification and measurement of other waves and intervals required for diagnostics. Some ways of QRS detection are described in this work and there is also a description of detector implemented in programming environment MATLAB, which is based on zero crossing counts. This QRS detector was then tested CSE database and signals from Holter examination.
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Fingerprint biometry
Smékal, Ondřej ; Drahanský, Martin (referee) ; Fedra, Petr (advisor)
Algorithms designed for identification and verification persons by fingerprints recognition are spread and used as in forensics aplications as in private sector for a long time. The aim of this thesis is to make us aquainted with various aplicated mathematic models of fingerprint processing in digital way. Second task is the presentation algorithmic solution of chosen subject identification procedure by force of Fingerprint matching. Algorithm is solid in the development environment platform Matlab.
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Threshold counting in wavelet domain
Chlada, Milan ; Převorovský, Zdeněk
New AE signal parameters (wavelet counts) are introduced using atwo-level threshold counting of wavelet coefficients. The application of wavelet counts is illustrated in three examples of both real and simulated AE data. The significance of various classicaland newly introduced AE signal parameters used to AE source identification is tested using theneural network sensitivity and factor analyses.
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