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Experiments with Images of Eye Retina
Floryček, Jan ; Orság, Filip (referee) ; Fiala, Jiří (advisor)
The layout of blood vessels in human eye retina is one of the important physiological biometric characteristics of every individual. The processing of color retinal images and extraction of the blood vessel structure is an important phase in diagnostics of many eye diseases as well as in gathering biometric data. An automatic method for image processing, extracting the blood vessel structure and saving a template for usage in a biometric system will be described in this bachelor thesis. The method was developed and tested on actual retinal images acquired by digital fundus camera and it was implemented in language C++ with the use of OpenCV library. This thesis also contains a brief introduction to biometrics, computer graphics and medicine.
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Packet Classification Algorithms
Foukal, Martin ; Kajan, Michal (referee) ; Puš, Viktor (advisor)
This work deals with the packet classification algorithms for traffic filtering in computer networks. It contains summary of different areas where packet classification is used. It describes various algorithms and their memory and speed characteristics. Then this work describes implementation of two chosen algorithms based on bit paralelism and bit vectors which were integrated into Netbench, framework for evaluation and experiments with packet processing algorithms. There are described memory requirements of both these algorithms which were tested for different sets of rules. These requirements are compared with other algorithms in Netbench.
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Simulation scenarios in NS2 demonstrating knowledge of BGP and multicast
Sobotka, David ; Komosný, Dan (referee) ; Jeřábek, Jan (advisor)
Network simulation can be beneficial not only in solving problems while applying new standards or recommendations, but also primarily an aid in understanding and verifying knowledge of behaviour of communications protocols. The aim of the thesis is to create illustrative tasks in the simulation environment, Network Simulator 2 (NS-2), which are designed to verify the behavior of BGP and multicast. Created tasks are above all devoted to BGP, which is the cornerstone of routing information of all IP networks conglomerate, the Internet. The first two tasks designed for BGP use the implementation of ns-BGP and the remaining are based on the implementation of BGP++. The tasks verify both the function of basic attributes of the protocol, influencing the decision making process when routing information (AS_PATH, MED, LOCAL_PREF, WEIGHT), and furthermore the methods or parameters affecting the efficiency of the process of routing and a reduction of excessive network traffic (BGP confederation, routing, aggregation, MRAI). The last task regards multicast, more specifically the type of DM, which is a group of the so-called Dense Mode. The task illustrates how to join/leave groups and spread messages of types GRAFT and PRUNE under a constant data stream.
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Virtualized Environment for Analysis of Malware Traffic
Martykán, Tomáš ; Kolář, Dušan (referee) ; Uhříček, Daniel (advisor)
Malware představuje podstatnou hrozbu pro bezpečnost internetu. Tato bakalářská práce představuje virtuální prostředí pro analýzu síťového provozu malware. Zvolený přístup využívá programovací jazyk Rust k vývoji softwarového firewallu, který inteligentně filtruje síťový provoz a umožňuje malwaru bez rizika běžet v sandboxech. Výsledky ukazují účinnost tohoto přístupu v různých scénářích v filtrování a analýze ruzných typů škodlivého síťového provozu a minimalizaci rizik souvisejících s analýzou vzorků malware.
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Rendering of Voxel-Based Scenes Using Real-Time Ray Tracing
Menšík, Jakub ; Milet, Tomáš (referee) ; Matýšek, Michal (advisor)
The aim of this work was to create a program to visualize voxel scenes in real time using ray tracing. It included the study of various methods of such a rendering with a focus on shadows. The solution was created using Unity engine and experimental packages Unity Jobs and Burst. The thesis presents multiple ray tracing passes and SVGF technique, that is used to turn a noisy input into full edge-preserving image. The final program is able to render hard shadows, soft shadows, and ambient occlusion at speed of fifty frames per second.
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IP Flow Filtration and Profiling
Sedlák, Michal ; Tisovčík, Peter (referee) ; Kučera, Jan (advisor)
This thesis addresses the problem of filtering and profiling IP flows, primarily data of IPFIXsystems. Within the work, a general filtering component is designed and implemented, whichaims to be sufficiently efficient and flexible for use in other projects related to IP flows. Thiscomponent is then adapted to work with data in the IPFIX protocol format and integratedinto the existing modular collector IPFIXcol2 in the form of plugins adding the support forfiltering of passing IPFIX data and their sorting into profiles.
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Censorship in the Internet
Tomaga, Jakub ; Rychlý, Marek (referee) ; Očenášek, Pavel (advisor)
{This Diploma thesis deals with Internet censorship. Various technical solutions for Internet censorship are presented together with censorship analysis options. Several possibilities for blocked content access and censorship circumvention in general are discussed. The topic is analyzed from the global point of view and is related to the People's Republic of China.
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Information Retrieval in Czech Wikipedia
Balgar, Marek ; Bartík, Vladimír (referee) ; Chmelař, Petr (advisor)
The main task of this Masters Thesis is to understand questions of information retrieval and text classifi cation. The main research is focused on the text data, the semantic dictionaries and especially the knowledges inferred from the Wikipedia. In this thesis is also described implementation of the querying system, which is based on achieved knowledges. Finally properties and possible improvements of the system are talked over.
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Adaptive Sampling of Input Packets Implemented in FlowMon Probe
Kaštovský, Petr ; Martínek, Tomáš (referee) ; Kořenek, Jan (advisor)
There is a FlowMon probe being developed in a Libeouter project that is used for passive network measurements. The probe has better stability and accuracy than sofware based solutions even under a heavy load or network attack. To guarantee a precision of results there is a need to data reduction to prevent measuring system overload. There are few kinds of data reduction. Method used in the FlowMon probe is called sampling. Adaptive sampling unit sets the sampling rate (rate of processed and discarded packets) according to actual state of measured network.
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Data Analysis and Clasification from the Brain Activity Detector
Ullrich, Petr ; Šůstek, Martin (referee) ; Szőke, Igor (advisor)
This thesis deals with the issue of recording brain activity, implementation of its processing, analysis and classification. The OpenBCI hardware is used for recording. I have studied and described necessary information about recording brain activity and OpenBCI project. Design for data set, data processing and thoughts classification was created. Created system allows classification based on recorded brain activity. The neural network was used for classfication, but the success of the recognition of designed classes was not high.
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