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QRS detection based on Stockwell transform
Kašík, Ondřej ; Kozumplík, Jiří (referee) ; Smital, Lukáš (advisor)
This bachelor´s thesis deals with the detection of QRS complexes in ECG record. The thesis provides a brief information related to the heart anatomy, generation of electrical signals in the heart, recording and description of the ECG record. In more detail, there is a description of the detection of QRS complexes by various methods and realization of a detector based on Stockwell transform, Shannon energy and adaptive thresholding. The evaluation process of the detection efficiency is also included. Sensitivity and positive prediction of the proposed detector on the complete MIT-BIH Arrhythmia database reached 99.80 % and 99.88 % respectively.
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Sign language detection methods - review
Petr, Luboš ; Venglář, Vojtěch (referee) ; Krejsa, Jiří (advisor)
The Aim of this work is to describe various methods of sign language detection. The output of individual methods is a functional translation of sign language into text in real time. In addition to glove and kinect detection, this work deals with the possibilities of sign language detection from image recording, which is the most prospective method of detection in the future. The thesis is also focused on sign classification using neural networks.
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Detection of Dynamic Network Applications
Oroš, Petr ; Kaštil, Jan (referee) ; Tobola, Jiří (advisor)
This work deals with the detection of dynamic network applications. It describes a general method for detection of any application layer protocol and automatically searches for the detection rules. The practical part deals with general detection protocol to the automatically generated designs. A special section is devoted detect bittorrent protocol.
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DNS Amplification Attack Detection Using Passive DNS Analysis
Míšaný, Daniel ; Bartoš, Václav (referee) ; Kováčik, Michal (advisor)
This thesis is focused on the analysis and detection of DNS Amplification attack which is type of the DoS attack. Introduction of this thesis is focused on fundamental theories involving computer networks, DNS and DoS attacks. The main part of the work deals with the analysis of DNS Amplification attack, design and implementation of detection tool in C++ programming language. The conclusion is devoted to analyzing the results of the detection tool.
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Detection of similarity in program codes
Maťašová, Kristýna ; Vítek, Martin (referee) ; Kašpar, Jakub (advisor)
The Bachelor introduces the concept of plagiarism and possible kinds of plagiarism. It focuses on the problem of detecting the similarity of source codes, especially with graphical interfaces in the MATLAB environment. It also describes already existing detectors. The practical part of thesis is focused on finding appropriate flags for detection of similarity in source codes and introduces the metric of detected flags. It also describes the internal logic of created detector of similarity and discusses the results of its testing.
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Distributed Brute Force Attacks Protection
Richter, Jan ; Čejka, Rudolf (referee) ; Lampa, Petr (advisor)
This project deals with analysis of brute force attacks focused on breaking authentication of common services (especially ssh) of Linux and xBSD operating systems. It also examines real attacks, actual tools and ways of detection of theese attacks. Finaly there are designed new mechanisms of coordination and evaluation of distributed brute force attacks in distributed environment. These mechanisms are then implemented in distributed system called DBFAP.
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Detection of Red-Light Violation
Šorf, Milan ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis is focused on automatic detection of red-light violation using static camera. Theoretical part of the thesis describes the principle of detection and introduces various methods of detecting traffic lights and cars as well as their reliability metrics. The thesis also illustrates implementation of the application for evaluation of these methods.
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Reconstruction of Damaged Parts of Fingerprint Image
Halva, Vladislav ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
This bachelor thesis deals with the reconstruction of damaged fingerprint areas. The main goal is the design and implementation of an algorithm for the reconstruction of these regions. The designed algorithm consists of three main parts. The first part is fingerprint feature extraction and their derivation in damaged areas. The second part is a localization of damaged areas, which is based mainly on the structure of papillary lines. The last part is the damaged areas reconstruction itself. Gabor filter is used in this part of the process. The algorithm is implemented in C++ using the OpenCV library. An analysis of the reconstruction success rate is done afterwards. It is at first evaluated using the difference of quality between the input and processed fingerprint image, estimated by NIST NFIQ 2.0 and one other alternative tool for fingerprint image quality evaluation. The next step is a manual evaluation of the reconstruction success rate in various types of damaged areas.
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