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Robot model in the Python
Fikar, Josef ; Věchet, Stanislav (referee) ; Marada, Tomáš (advisor)
This work describes creation of simulation environment for mobile robot, which is designed to take part in Micromouse competition. Another solved issue is creation of communication interface and its control application, to provide combination between both robot and control program. Simulation is designed to serve as testing environment for development of tracking algoritm, which will guide robot through the defined labyrinth.
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Modul pro vyhledávání nevhodných obrázků
Žurek, Aleš
This work is focused on classifying photos which are uploaded on dating service Lidé.cz. Pictures are classified into two categories based on whether they contain pornographic content or not. Convolutional neural networks are used for classification and these neural networks are taught by using Caffe framework. The results of this work fulfilled all requirements from Seznam.cz, a.s. company. Classification accuracy of the best model on created testing dataset with 5643 photos was 93,64 % and the time for classification of photography is low enough to perform classification in real time. The first part contains an analysis of the current approaches for image classification. The second part focuses on the analysis and draft of the solution and the third part describes the implementation of the solution and the testing of neural networks models.
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Interaktivní průchod obcí Borkovany před rokem 1970
Starý, Miroslav
Starý, M. Interactive Walkthrough Village Borkovany Before 1970. Bachelor thesis. Brno: Mendel University, 2015. Thesis analyzes the tools for creating 3D scenes and tools for creating interactions, gradual modeling and programming of interactive walkthrough village Borkovany before 1970.
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Hledání sémantické informace v textových datech s využitím latentní analýzy
Řezníček, Pavel
The first part of thesis focuses on theoretical introduction to the methods of text mining -- Information retrieval, classification and clustering. LSA method is presented as an advanced model for representing textual data. Furthermore, the work describes source data and methods for their preprocessing and preparation used to enhance the effectiveness of text mining methods. For each chosen text mining method there are defined evaluation metrics and used already existing, or newly implemented, programs are presented. The results of experiments comparing the effects of different preprocessing type and use of different models of the source data are then demonstrated and discussed in the conclusion.
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Detekce anomálií v datech výzkumu PROSO
Šormová, Hana
The thesis deals with algorithms for detecting anomalies in the data collected by the Problem Solving Tutor research. In the theoretical part, the author introduces the term of anomaly, the ideas of the PROSO research and a detailed overview of existing algorithms to detect anomalies. In the practical part, selected algorithms are implemented. Real outputs and results as well as recommendations to a user are presented in this part, and the chapter is supplemented by a number of graphs. The implemented algorithms are also compared to existing data mining software. An example of working with the data mining tools, applied to the data coming from PROSO, and explanation of their outputs is also part of the thesis. In the summary, the appropriate methodology for behavior analysis and anomaly detection is determinied.
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Registr IT rizik
Kohout, Karel ; Doucek, Petr (advisor) ; Luc, Ladislav (referee)
The theoretical part of the thesis analyzes several selected methodologies and best-practices related to information technology risks management, with focus on documents and guidance developed by ISACA. It builds a set of ideas and basic requirements for effective model of an IT risk register. Strong emphasis is placed on mapping CobiT 4.1 based Risk IT to COBIT 5. The practical part describes implementation of an exploratory web-based IT risk register in Python programming language utilizing the Django framework and employs concepts from the analysis.
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