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Using fuzzy clustering in modelling of hardened concrete properties
Haluska, Lukáš ; Vymazal, Tomáš (referee) ; Misák, Petr (advisor)
Compressive strength is one of the most monitored parameter of hardened concrete and it is usually determinated by destructive testing. Non-destructive testing applied on existing constructions uses regression analysis to estimate compressive strength. High variability of outputs and eventually failure of necessary requirements for using regression analysis complicate these methods. The aim of this thesis is to show posibility of using fuzzy clustering in this topic and to compare outputs with classic methods.
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Analysis of Scripts for Use in Clustering
Planička, Michal ; Burgetová, Ivana (referee) ; Křivka, Zbyněk (advisor)
This paper deals with the analysis of various script types and the extraction of traits which can be used for the cluster analysis performed by Clusty service. A file containing source code of the script serves as an input of the analyzer. The file is decoded and its content is then used for identifying the script type. If the script type is successfully identified, the analysis of the source code will be performed. The result of the analysis is a collection of traits which is then represented in the desired format (e.g. JSON). There are five supported types of scripts: JavaScript, VBScript, PowerShell, Python and batch file. The analyzer is designed such that support for new script types can be added.
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BOIDS Method for Swarm Simulation
Burda, Radek ; Král, Jiří (referee) ; Zbořil, František (advisor)
This work primarily deals with C.Reynolds's model of flocking -BOIDS - and uses the model as a basis for creating a swarm simulation. It discusses methods for obstacle avoidance and principle of forces arbitration (flocking rules, obstacle avoidance and goal satisfying) to properly avoid conflicting of behaviours. Furhermore some of other approaches to flocking simulation are mentioned while their pros and cons are taken up. Last but not least proceeding of creating a graphic environment in Blender for demonstrating boids behavior in the final 3D application is described.
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Application of clustering methods for processing of biomedical data
Rozinek, Michal ; Gazárek, Jiří (referee) ; Havlíček, Martin (advisor)
The goal of this study is to learn about methods in object classification in medicine and find out what are these methods about. Focusing on functionality and reliability of these methods whith datafile from the medicine compartment after making the algorithm in MATLAB. In form of siple tests, put the touch everyone of classification procedure and find out in which they excel and in which they lags. The choice of input data parametres is very important, this will be tested and noted in conclusions.
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Photo Instead of QR Code
Štol, Jakub ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
This thesis focuses on create system, which according to user's photo search the most similar photo in dataset a display additional information about this photo such as photo content, place and author. The system is primarily focused on fields, where the user wants to use this system and get information, which he want such as museums or galleries. Theoretical part focuses on concept system according to methods of image processing and searching image in the dataset. Practical part focuses on concept creating web application, which display more information about the photo via web interface.
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Adaptation of Speaker Recognition Systems
Novotný, Ondřej ; Pešán, Jan (referee) ; Plchot, Oldřich (advisor)
In this paper, we propose techniques for adaptation of speaker recognition systems. The aim of this work is to create adaptation for Probabilistic Linear Discriminant Analysis. Special attention is given to unsupervised adaptation. Our test shows appropriate clustering techniques for speaker estimation of the identity and estimation of the number of speakers in adaptation dataset. For the test, we are using NIST and Switchboard corpora.
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Eucaryotic Genomes Comparison
Puterová, Janka ; Vogel, Ivan (referee) ; Martínek, Tomáš (advisor)
Main motive of this master thesis was the need of good bioinformatics tools for genome comparison and improvement of one of the existing tools - RepeatExplorer. This work offers an overview of transposable elements in DNA, existing tools for identification and analysis of repetitions in sequenced genomes, summary of currently used genome sequencing methods. This work describes shortcomings of RepeatExplorer tool with focus on comparative analysis of genomes. Two solutions to remove these problems were designed and implemented. The first solution is designed for comparing pairs of genomes. The principle of this solution is based on comparison of similarity of distribution of contigs coverages using Kolmogorov-Smirnov test, thanks to which we are able to determine different parts in the genomes.The second solution, which is used to compare multiple genomes, is based on the method of mapping reads from compared genomes to the reference genome contigs and provides contigs coverage graphs, by which we are able to determine the variability of the repeats.Their functionality was verified on real NGS data of organism Silene latifolia.
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Hierarchical Image Segmentation
Staněk, Stanislav ; Švub, Miroslav (referee) ; Španěl, Michal (advisor)
In many vision applications image segmentation is one of the most critical steps of analysis,which has the objective of extracting information from an image. In this work a segmentation method based upon fuzzy c-means and k-means clustering is presented. A hierarchical data structure together with clustering algorithms for the segmentation in each level of the pyramid is used.The results show that the computation time is much less then that of a classical clustering.
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Geolocalisation on Windows Phone 7
Kluz, David ; Kajan, Rudolf (referee) ; Svoboda, Pavel (advisor)
This work deals with design and realization an application for devices running WP7, which allows the collection of information about the user's location and evaluate the most frequently visited places. These points can be stored in phone memory and then displayed on the interactive maps available in the application. The theoretical part deals with localization using GPS and GSM. Also describes a grouping methods and methods for determining the distance between two GPS points. The practical part deals with implementation and application functionality.
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Evaluation of the Cluster Analysis Quality
Schmid, Michael ; Zendulka, Jaroslav (referee) ; Burgetová, Ivana (advisor)
This bachelor's thesis concerns cluster analysis and possible ways to evaluate the quality of its results. The thesis contains theoretical introduction to cluster analysis and metrics used for evaluation of quality of its results. The thesis also documents development of an application capable of evaluating quality of results of cluster analysis using mentioned metrics. Important part of the thesis describes experiments conducted with implemented application, including design of the experiments and analysis of behavior of clustering algorithms and metrics when they are used in combination with various datasets.
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