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Evaluation of hydrodinamic load on a brdge deck
Řezník, Jindřich ; Dráb, Aleš (referee) ; Špano, Miroslav (advisor)
The subject of this thesis is the evaluation of hydrodinamic load on a physical model of a bridge deck, especially to find the relation between the median and extreme quantiles of each hydrodanamic load part and to evaluate the influence, which has the shape of the bridge deck on the size of this load. Relations, that was found may be used to determine characteristic values of loads, caused by water flow, for example, when designing the bridge bearings.
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Graphical representation of DNA and protein sequences
Pražák, Ondřej ; Kolářová, Jana (referee) ; Maděránková, Denisa (advisor)
Modification of DNA sequences and their suitable representation is important part of analysis, comparison and another processing. Goal of this paper is finding of suitable methods for representation of genomic and proteomic sequences. Because there is great number of metods, this paper will introduce only some of them. All selected methods, are described in the first part of this paper and they were programed in Matlab. Selected methods are illustrated on coding sequences of the first exon of the b-globin gene of 11 different species. Results are compared withresults from the original papers. Some methods are capable of another processing like cluster analysis. Output of this paper is comparison of results, gained from different methods, and finding the most suitable one.
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Image Retrieval Based on Color Histograms
Sailer, Zbyněk ; Hradiš, Michal (referee) ; Beran, Vítězslav (advisor)
This thesis deals with description of existing methods of image retrieval. It contains set of methods for image description, coding of global and local descriptor (SIFT, etc.) and describes method of effective searching in multidimensional space (LSH). It continues with proposal and testing of three global descriptors using color histograms, histogram of gradients and the combination of both. The last part deals with similar image retrieval using proposed descriptors and the indexing method LSH and compares the results with the existing method. Product of this work is an experimental application which demonstrates the proposed solution.
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Program Similarity Recognition Based on Behaviour Analysis
Otočka, Dávid ; Vojnar, Tomáš (referee) ; Peringer, Petr (advisor)
The goal of this master thesis was to design an algorithm that will be able to measure the difference between two programs based on their behavioral description. For the algorithm needs, the Levenshtein distance method between two strings and NCD method, were used. Both methods have their implementation approach and test result described. This term also discusses various methods of program analysis in virtual machine environment, as well as explanation of some basic concepts regarding malware analysis.
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System for finding duplicate recordings based on audio information
Švejcar, Michael ; Miklánek, Štěpán (referee) ; Ištvánek, Matěj (advisor)
This diploma thesis discusses different methods of detecting duplicates in a music file database. The problem at hand is that files containing the same recording may differ in sound quality, applause at the end of a performance and other such parameters. The aim of this thesis is to design and implement a system that identifies duplicate recordings and provides an output file for the comparison. The system needs to not be affected by the mentioned parameters but precise enough to prevent matching non-identical recordings. The system is realized using the Python programming language, freely available libraries for computing chroma features, Image Hashing technique and multiple variants of the dynamic time warping algorithm. Three comparison methods were implemented in the system, differing in precision and computation complexity. The methods were then tested on a prepared dataset and four preset precision options were created. The final system seems very precise and insusceptible to detecting recordings that are very similar but not identical as duplicates, for example in case of different interpretations of the same musical piece.
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Methods for Predicting Drug Side Effects in Silico
Cicková, Pavlína ; Lexa,, Matej (referee) ; Berka,, Karel (referee) ; Provazník, Ivo (advisor)
Vývoj a výzkum léčiv je oblastí současné vědy, jejíž nedílnou součástí je i využití výpočetních metod. Z důvodu nákladnosti a časové náročnosti laboratorních přístupů, metody in silico sehrávají svou významnou roli. I přes rychlý vývoj výpočetních technik využívaných při vývoji léků, však není drtivá většina zkoumaných molekul v procesu vývoje úspěšná a do schvalovací fáze nepostoupí. Nejen proto se nejmodernější strategie návrhu potenciálních nových léčiv zaměřují na opětovné zkoumání již schválených léků a berou do úvahy i analýzu podobností. Tato práce popisuje vývoj a aplikaci souboru několika workflow, jež byl vytvořen v rámci analytické platformy KNIME a jež implementuje metody strojového učení za účelem predikce nežádoucích účinků léčiv. Součástí prezentovaných workflow je získání dat, jejich předzpracování, výpočet metrik podobností a provedení explorační analýzy. Následně je využito klasifikačních modelů k predikci specifických nežádoucích účinků léčiv. Tato predikce vychází z principů technik založených na podobnosti. K natrénování modelů rozhodovacích stromů pro predikci potenciální asociace nežádoucích účinků s léčivy byly využity strukturní a jiné podobnosti schválených molekul léčiv. Hlavní přínos práce spočívá především v přenositelnosti použitých metod. Soubor workflow je určen k využití jako vhodný nástroj k řešení výzkumných otázek ohledně podobnosti léčiv a jelikož analytická platforma KNIME poskytuje uživatelsky přívětivé grafické rozhraní, není nutné, aby měli uživatelé pokročilé zkušenosti v oblasti strojového učení nebo programování, aby mohli soubor navržených workflow v rámci této platformy pro své analýzy využít.
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Does phylogenetic proximity positively correlates with the likelihood of an evolutionary origin of mimicry?
Kováčová, Katarína ; Kleisner, Karel (advisor) ; Raška, Jan (referee)
Mimicry represents a diverse group of similarities, which belongs to the phenomena of evolutionary biology. Even though mimicry is often interpreted as a convincing exam- ple of natural selection, it is necessary to consider the morphological and organizational processes that are responsible for the formation of organisms. In our work, we tested the hypothesis that mimicry occurs more frequently among insect genus that are phylogenet- ically closer than those that are phylogenetically more distant. To elaborate the work, we used 112 genus from the Insecta and Arachnida classes. The hypothesis was tested glob- ally, continentally and at the order level. Our hypothesis has not been refuted in Central and South America, Asia and Australia. At the order level, it was not contradicted in the order of Lepidoptera. We hypothesize that the explanation can be deduced from radical phenotypic changes that would ultimately disadvantage the given organism. 1
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System for finding duplicate recordings based on audio information
Švejcar, Michael ; Miklánek, Štěpán (referee) ; Ištvánek, Matěj (advisor)
This diploma thesis discusses different methods of detecting duplicates in a music file database. The problem at hand is that files containing the same recording may differ in sound quality, applause at the end of a performance and other such parameters. The aim of this thesis is to design and implement a system that identifies duplicate recordings and provides an output file for the comparison. The system needs to not be affected by the mentioned parameters but precise enough to prevent matching non-identical recordings. The system is realized using the Python programming language, freely available libraries for computing chroma features, Image Hashing technique and multiple variants of the dynamic time warping algorithm. Three comparison methods were implemented in the system, differing in precision and computation complexity. The methods were then tested on a prepared dataset and four preset precision options were created. The final system seems very precise and insusceptible to detecting recordings that are very similar but not identical as duplicates, for example in case of different interpretations of the same musical piece.
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Visual experince as example and pattern in relation to the expansion and influence into human life
Nohejl, Jiří ; Czumalo, Vladimír (advisor) ; Vojtěchovský, Miroslav (referee)
The main theme of this dissertation is to define an image as a visual experience. The human interaction is described by the author himself as a perception of the image, which serves as an information unit that could be presented as a possibility, example and pattern for the individual. There is an emphasis on the process of perception itself and on the way of interaction of an individual emphasizing the context of social learning and imitation in this text. The analysis of the principles of this interaction leading into introduction of the partial interactive models covering these processes is formed by the essential plane. The structure of the thesis is divided into ten main chapters in which the author tries to introduce a category of perception, a definition of the image and imitation as a tool of cultural transmission, presentation of the units of this transmission, the process of the interaction itself and analogous example of the fundamental role that a person in this interaction holds. There are also three analogies of these roles, which refer to the anthropological universal interaction describing the man as a gatherer and hunter. Their main purpose is to illustrate the form of a human experience better. Finally, there are reflections on the topic above. The possibilities and results, which...
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