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Library of Compression Algorithms
Kozák, Filip ; Kaštil, Jan (referee) ; Košař, Vlastimil (advisor)
The purpose of this bachelor's thesis is to create the Library of Compression Algorithms which operates with data in memory. There is explained the principle of compression and decompression of individual methods, described steps and solutions for potential issues of individual algorithms and practical implementation of these algorithms. In conclusion there is the comparison of results of implemented algorithms with some existing programs for data compression.
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Detection of anomalies in network traffic using compression methods
Blažek, Libor ; Dvořák, Jan (referee) ; Blažek, Petr (advisor)
The objective of the thesis is to design a practical demonstration of the functionality of selected compression methods. The following chapters will discuss the attacks on terminals and mentioned some measures. The show will be processed using two methods development environment. The attacks will detect anomalies in the network and subsequently carried out at one of the sample data compression methods. Data will be collected as normal operation at the terminal station, and then in the attack.
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Dictionary Methods of Data Compression
Černičko, Sergij ; Polok, Lukáš (referee) ; Bařina, David (advisor)
The aim of this thesis is to analyse dictionary methods of data compression and their characteristics. The work is focused on and hands out detail overview of dictionary methods LZ77, LZ78, LZSS, LZW, DEFLATE and LZX. Principles of these methods and also general theory of compression is described. In conclusion all methods are tested and results analyzed.
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Medical Image Data Compression
Balarin, Jakub ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
The efficiency of various compress algorithms on medical images is explored in this paper. It try's to find algorithm or group of algorithms with the best compress efficiency. Except classic algorithms the medicine data properties (it contains many similar image points) can be used to reach higher compress level. We verify delta coding efficienty to final compress ratio. At the end the best founded method is presented.
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Dictionary Methods of Data Compression
Kubica, Peter ; Beran, Vítězslav (referee) ; Bařina, David (advisor)
Due to increasing amount of stored and transferred data, there is a need of compression. For these purposes, there were invented many compressing algorithms. This thesis focuses on lossless compression, specifically on dictionary methods. This work sums up the knowledge about methods LZ77 and LZ78.. These methods were implemented in C++ language, according to their formal description. Detailed knowledge of their principles, advantages, disadvantages and possible improvements is the product.
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Biological sequence classification utilizing lossless data compression algorithms
Kruml, Ondřej ; Provazník, Ivo (referee) ; Škutková, Helena (advisor)
Tato diplomová práce se zabývá možností využití bezeztrátových kompresních algoritmů ke klasifikaci biologických sekvencí. Nejdříve je představena literární rešerše o bezeztrátových kompresních algoritmech, která byla využita k výběru slovníkového algoritmu vytvořeného A. Lempelem a J. Zivem v roce 1976 (LZ77). Tento algoritmus je běžně používán k datové kompresi a v předkládané práci byl modifikován tak, aby umožnil klasifikaci biologických sekvencí. K algoritmu byly navrženy další modifikace, které rozvíjí jeho klasifikační možnosti. V průběhu práce byla sestavena sada datasetů biologických sekvencí, která umožnila podrobné testování algoritmu. Algoritmus byl porovnán s klasickými zarovnávacími metodami: Jukes-Cantor, Tamura a Kimura. Bylo ukázáno, že algoritmus dosahuje srovnatelných výsledků v oblasti klasifikace biologických sekvencí a dokonce je u 20% datasetů překonává. Lepší výsledky dosahuje zejména u sekvencí, jež jsou si vzájemně vzdálené.
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Dictionary Methods of Data Compression
Kubica, Peter ; Beran, Vítězslav (referee) ; Bařina, David (advisor)
Due to increasing amount of stored and transferred data, there is a need of compression. For these purposes, there were invented many compressing algorithms. This thesis focuses on lossless compression, specifically on dictionary methods. This work sums up the knowledge about methods LZ77 and LZ78.. These methods were implemented in C++ language, according to their formal description. Detailed knowledge of their principles, advantages, disadvantages and possible improvements is the product.
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Detection of anomalies in network traffic using compression methods
Blažek, Libor ; Dvořák, Jan (referee) ; Blažek, Petr (advisor)
The objective of the thesis is to design a practical demonstration of the functionality of selected compression methods. The following chapters will discuss the attacks on terminals and mentioned some measures. The show will be processed using two methods development environment. The attacks will detect anomalies in the network and subsequently carried out at one of the sample data compression methods. Data will be collected as normal operation at the terminal station, and then in the attack.
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