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Algorithms for Computerized Optimization of Logistic Combinatorial Problems
Bokiš, Daniel ; Peringer, Petr (referee) ; Hrubý, Martin (advisor)
This thesis deals with optimization problems with main focus on logistic Vehicle Routing Problem (VRP). In the first part term optimization is established and most important optimization problems are presented. Next section deals with methods, which are capable of solving those problems. Furthermore it is explored how to apply those methods to specific VRP, along with presenting some enhancement of those algorithms. This thesis also introduces learning method capable of using knowledge of previous solutions. At the end of the paper, experiments are performed to tune the parameters of used algorithms and to discuss benefit of suggested improvements.
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Abstract Syntax Tree Analysis for Python Teaching Support
Fáber, Jakub ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
The goal of this thesis is to create an analyzer system to check assignment solutions and to suggest improvements for them in terms of code quality and cleanliness. For the best results, a combination of static and dynamic analysis techniques is used. This system is implemented in the form of tutoring system and uses Docker containers for safe testing and analysis in an isolated environment. Interactive environment for communication with users is created with modern technologies such as Material Design.
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Recognition of digits
Gorgol, Martin ; Hynčica, Tomáš (referee) ; Jirsík, Václav (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then this work deals with the identification numbers using these networks, in particular, using the back-propagation method. There is a broken process of choosing a set of signs, types of symptoms and of choosing a neural network topology. The aim is to obtain specific results by using the program for working with neural networks.
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A Library for Convolutional Neural Network Design
Rek, Petr ; Mrázek, Vojtěch (referee) ; Sekanina, Lukáš (advisor)
In this diploma thesis, the reader is introduced to artificial neural networks and convolutional neural networks. Based on that, the design and implementation of a new library for convolutional neural networks is described. The library is then evaluated on widely used datasets and compared to other publicly available libraries. The added benefit of the library, that makes it unique, is its independence on data types. Each layer may contain up to three independent data types - for weights, for inference and for training. For the purpose of evaluating this feature, a data type with fixed point representation is also part of the library. The effects of this representation on trained net accuracy are put to a test.
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Object Recognition by Means of Evolutionary Methods
Lýsek, Jiří ; Škorpil, Vladislav (referee) ; Rábová, Ivana (referee) ; Šťastný, Jiří (advisor)
This thesis deals with usage of evolutionary methods, grammatical evolution particularly in application for object recognition in an image. Basic principles of object recognition and evolutionary methods with focus on grammatical evolution are described. The core of the thesis lies in design of techniques and methods for classifier programs creation using grammatical evolution. Also the designed fitness formula is presented. In the end, created testing and development environment in Java programming language is described.
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Popularisation of Science in the Czech Republic
Holčapková, Martina ; Walek, Agata (referee) ; Baumgartnerová, Alena (advisor)
Bakalářská práce se zabývá tématem popularizace vědy. Cílem práce je definovat subjekty zabývající se popularizací vědy a zjistit informovanost veřejnosti o daném tématu. První část práce je zaměřena na definici termínu popularizace vědy. V druhé části jsou popsány rozdíly v učení dospělých a dětí. Třetí část ukazuje subjekty popularizace vědy a následující kapitola, založená na dotazníku, popisuje povědomí obyvatel Brna a jeho okolí o možnostech popularizace vědy. Závěrečná kapitola se věnuje tvorbě popularizačně naučného programu zaměřeného na téma elektřina a magnetismus.
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Web Application for Improvement of Vocabulary and Conversation Skills in Multiple Languages
Jakeš, Jan ; Herout, Adam (referee) ; Szőke, Igor (advisor)
The aim of this work is to create a web application that would help its users to improve their vocabulary and conversation skills in foreign language studies. An important point is an orientation on the study of several languages at the same time. The base of the system is PHP programming language and the Nette Framework library. Other technologies used are MySQL, Doctrine 2, jQuery, ExtJS and programming interfaces of Wordnik and Facebook applications. This text describes the complete process of the development from the specification and analysis of application demands over architecture and user interface design up to implementation details, the process of testing and its results. Finally it sums up the ideas for future development.
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The Proposal of Educational System of Employees in Organisation.
Lukáčová, Karolína ; Vardan, Dalibor (referee) ; Rašticová, Martina (advisor)
The thesis deals with the education of employees and analyses current educational system in the specific company. In the first part of the thesis we define basic notions and terms we will use in the analysis. In the second part we describe the educational policy and processes applied by the company which are subsequently analyzed in the third part. Outcomes of the analysis serve as the basis for recommendations to improve the educational strategies and policies of the company.
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Recognition of digits
Gorgol, Martin ; Hynčica, Tomáš (referee) ; Jirsík, Václav (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then this work deals with the identification numbers using these networks, in particular, using the back-propagation method. There is a broken process of choosing a set of signs, types of symptoms and of choosing a neural network topology. The aim is to obtain specific results by using the program for working with neural networks.
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Motivation and Satisfaction of Employees in a Selected Company
Holubová, Monika ; Plodíková, Stanislava (referee) ; Konečný, Štěpán (advisor)
This master´s thesis is focused motivation and satisfaction of employees. The theoretical part focuses on defining the basic concepts of motivation, satisfaction and education. I describe the theory of motivation or the factors of work satisfaction. As education is planned and what is its implementation, defining the concept of learning and total characteristics of employee motivation. In the practical part I characterize a particular company. I also focus on the current motivation of employees. Based on a questionnaire survey, I analyse the current situation, draw conclusions from it and suggest the necessary measures that could be beneficial to both the company and the employees.
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