National Repository of Grey Literature 9 records found  Search took 0.01 seconds. 
C#-JavaScript Transpiler for DotVVM
Mrnuštík, Michal ; Ryšavý, Ondřej (referee) ; Pluskal, Jan (advisor)
Aim of this thesis is to solve issue of transpiling server code written in C# to client-side JavaScript code, so it could be run in the browser. And then implementing the proposed solution. Next goal is to integrate this solution into framework DotVVM and develop an application demonstrating this techonology.
Machine-Learning Methods in Natural Language Processing
Vantuch, Marek ; Mrnuštík, Michal (referee) ; Otrusina, Lubomír (advisor)
Firstly, basic rules of tagging of the Czech language are described as well as problems connected to this field. Thereafter the focus of the thesis is put on the success rate of testing on the Czech corpus and at the same time trying to find the most suitable parameter values for using the features. After reaching a reasonable compromise between duration and accuracy, the value is then attempted to be improved using analysis of separate features and their eventual omission.
Evolutionary Design of Simulator Based on Cellular Automata
Brigant, Vladimír ; Šperka, Svatopluk (referee) ; Mrnuštík, Michal (advisor)
This work describes concept of a cellular automata (CA) simulator, which is able to predict behaviour of a complex spatial system. This prediction is based on available training data and transition rule acquired from regression analysis powered by evolutionary algorithms. Two regression analysis methods (linear and logistic regression) are suggested, implemented and compared on urban growth prediction of Brno city.
Boosting and Evolution
Mrnuštík, Michal ; Juránek, Roman (referee) ; Hradiš, Michal (advisor)
This thesis introduces combination of the AdaBoost and the evolutionary algorithm. The evolutionary algorithm is used to find linear combination of Haar features. This linear combination creates the feature to train weak classifier for AdaBoost. There are described basics of classification, Haar features and the AdaBoost. Next there are basic information about evolutionary algorithms. Theoretical description of combination of the AdaBoost and the evolutionary algorithm is included too. Some implementation details are added too. Implementation is tested on the images as part of the system for face recognition. Results are compared with Haar features.   
Visual Design of Ontologies for Semantic Web
Procházka, Jiří ; Mrnuštík, Michal (referee) ; Šperka, Svatopluk (advisor)
Tato práce popisuje návrh a implementaci vizuálního editoru ontologií pro Sémanticý web, založený na RDF modelu, soustředící se na přehlednou kompaktní vizualizaci ontologií, jejich selektivní zobrazení z různých aspektů, a jejich tvorbu s rozšířítelností v nabídce ontologických jazyků.
Application for Control of Intelligent Electroinstallation iNELS for the Platform iOS
Gajdoš, Pavel ; Mrnuštík, Michal (referee) ; Drahanský, Martin (advisor)
The thesis deals with design and implementation of application for device Apple iPad and its purpose is to control intelligent electroinstallation iNELS developed by company ELKO EP s.r.o. This work describes development tools for operating system iOS, technical information about intelligent electroinstallation iNELS and mainly the design and the implementation of application itself. 
Evolutionary Design Using Random Boolean Networks
Mrnuštík, Michal ; Žaloudek, Luděk (referee) ; Bidlo, Michal (advisor)
This master's thesis introduces the Random Boolean Networks as a developmental model in the evolutionary design. The representation of the Random Boolean Networks is described. This representation is combined with an evolutionary algorithm. The genetic operators are described too. The Random Boolean Networks are used as the developmental model for  the evolutionary design of the combinational circuits and the sorting networks. Moreover a representation of the Random Boolean Networks for the design of image filters is introduced. The proposed methods are evaluated in different case-studies. The results of the experiments are discussed together with the potential improvements  and topics of the next research.
Czech-Slovak Machine Translation
Zachar, Lukáš ; Mrnuštík, Michal (referee) ; Smrž, Pavel (advisor)
This thesis describes ideas and theories behind machine translatinon, informs the reader about existing machine translation system Moses and by utilizing it proposes system, which is able to learn and later translate from Czech language into Slovak language.
Application for Controlling iNELS Intelligent Electrical-Installation for the Windows Phone Platform
Bednář, David ; Mrnuštík, Michal (referee) ; Drahanský, Martin (advisor)
Tato práce se zabývá inteligentní elektroinstalací iNELS od společnosti ELKO EP a jejím ovládáním pomocí zařízení využívajících platformu Windows Phone. V textu je popsána komunikace, kterou využívá systém iNELS a multimediální systém iMM, především pak protokoly EPSNET a XML-RPC. Dále je popsána platforma Windows Phone a implementace samotné aplikace. V závěrečné části se práce zabývá zajímavými rozšířeními dané aplikace.

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