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New Generation of Open-Source Tool Stranger Strings
Kňazík, Matej ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
Cieľom tejto bakalárskej práce je opísať vývoj webovej aplikácie s názvom Stranger Strings. Projekt si ponechal svoje meno po internom firemnom nástroji, avšak vo všetkom ostatnom prešiel kompletnými zmenami. Účel Stranger Strings sa pozmenil, kód bol od základu prepísaný a celý projekt bol zmenený na open-source. Rovnako bolo redizajnované aj užívateľské prostredie za účelom rozšírenia cieľovej skupiny užívateľov. Táto práca podrobne popisuje tento proces a tiež vysvetľuje, akú úlohu zohralo užívateľské testovanie pri identifikácii hlavných problémov aplikácie. Výsledkom tejto práce je open-source nástroj na analýzu lokalizácie, ktorý pomáha užívateľom zlepšovať jej kvalitu.
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Mobile App - Journal as a Chat
Dorda, Tomáš ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
This application aimed to create a minimalist mobile application for the secure keeping of an electronic diary with the user interface of the instant messaging application. The application is implemented in the Flutter framework and is available for devices with the Android operating system. The work focuses on the design of the application, its implementation, and continuous testing. The result is a journaling application that allows any journal to be locked with its own password, hidden, or even hidden and locked. The application offers a large number of color themes to customize each diary and an original user interface.
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Consequences of NAFTA Trade Agreement for the Car Industry in North America
Dobeš, Petr ; Kozák, Kryštof (advisor) ; Fiřtová, Magdalena (referee)
The subject of this thesis is the North American Free Trade Agreement (NAFTA), signed between the United States of America, Canada and Mexico and its impact on the automotive industry in North America between the years 1994, when NAFTA came into force, and 2009, when two major American car manufacturers, General Motors and Chrysler, went bankrupt during the global-scale recession and the industry changed significantly. The thesis is based on the theory of comparative advantages, as it was described by a British economist David Ricardo in the 19th century. It subscribes to the general principle that a free trade is beneficial to all engaged parties, because it enables more effective allocation of resources and provides for more specialization of production. The thesis argues NAFTA was a complex and ambitious international trade deal that had profound impact on the evolution of this branch of industry in the United States, Canada and Mexico, however its impact on the economy as a whole was limited and many of the changes, attributed to NAFTA, would likely have happened even without its passage due to the natural process of evolution of the industry and modernization. The creation of a continent-wide zone of free trade enabled local and foreign car makers to establish international supply chains that...
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Acquisition of deep data from horizonts of Rožná mine - Technical report for 2019
Bukovská, Z. ; Bohdálek, P. ; Buda, J. ; Dobeš, P. ; Filipský, D. ; Franěk, J. ; Havlová, V. ; Holéczy, D. ; Chabr, T. ; Jelínek, J. ; Jelínek, J. ; Knésl, I. ; Kryl, J. ; Kříbek, B. ; Laufek, F. ; Leichmann, J. ; Navrátil, P. ; Pořádek, P. ; Soejono, I. ; Sosna, K. ; Souček, Kamil ; Švagera, O. ; Vavro, Leona ; Vavro, Martin ; Veselovský, F. ; Waclawik, Petr ; Zuna, M.
This report summarizes work that has been done during the second phase of the third and fourth\nwork package of the tender Acquisition of deep data from horizons of Rožná mine. It contains\ndescription of analytical work performed in laboratory and in situ, documentation in the mine and\n3D modelling.
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Deep Neural Networks for Reinforcement Learning in Real-Time Strategy
Barilla, Marco ; Dobeš, Petr (referee) ; Kolář, Martin (advisor)
Machine learning is one of the fastest growing branches of modern science. It is a subfield of artificial intelligence research that is interested the problem of making computers help us solve complex modern problems. Games play an important role in this field because they represent the perfect environment for testing of new approaches and benchmarking against human performance. Starcraft 2 is currently in the spotlight, thanks to its broad playerbase and its complexity. The practical goal of this paper is to create an advantage actor critic agent that is able to operate in the environment of this game.
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Processing Sensor Data from a Wearable Device by Machine Learning
Hlavačka, Martin ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
The goal of this master's thesis is to analyze the situation of wearable devices with the Android Wear operating system and recognition capabilities of various movement activities using neural networks. The primary focus is therefore on identifying and describing the most appropriate tool for recognizing dynamic movements using machine learning methods based on data obtained from this type of devices. The practical part of the thesis then comments on the implementation of a stand-alone Android Wear application capable of recording and formatting data from sensors, training the neural network in a designed external desktop tool, and then reusing trained neural network for motion recognition directly on the device.
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Web Tool for Estimation of Document Size
Dlouhá, Simona ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
Aim of this thesis is to design and create web tool, which will allow users to get a text range in standard pages from a PDF file. The thesis introduces algorithms designed for retrieving statistics from a file. The tool is implemented using Python and Django framework, user interface is realized by HTML, CSS and JavaScript. Result of this thesis is a tool that provides text statistics, image statistics and chapters overview. Benefit of this tool is also more precise page counting in documents with images in comparison with other tools.
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Deep Learning for Object Detection
Pitoňák, Radoslav ; Dobeš, Petr (referee) ; Teuer, Lukáš (advisor)
This thesis analyzes different object detection methods which are based on deep neural networks. In the beginning, the convolutional neural networks are described and commonly used object detection methods are compared. In the following parts, the proposal and implementation of the object detection model trained on the specific dataset are described. In conclusion, the achieved results of this model are discussed and compared with the results of other methods.
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Android App for Security Monitoring of Communication
Klepáčková, Karolína ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
This diploma thesis is focused on implementation of application for security monitoring of network communication of other applications in mobile device with Android platform. Provides users information about security risks that may harm his/her privacy or device. It uses a local VPN to tunnel all data sent to the wireless network. These can be linked to an application that has sent them because the Android kernel is derived from the Linux kernel and can be used to retrieve information about established network connections and the application identifier associated with the connection. This mapping allows to get more information about an app that is potentially dangerous for your mobile device.
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Obtaining data from the deep horizons of the Rožná Mine
Bukovská, Z. ; Bohdálek, P. ; Buda, J. ; Dobeš, P. ; Filipský, D. ; Franěk, J. ; Havlová, V. ; Chabr, T. ; Knés, I. ; Kryl, J. ; Kříbek, B. ; Laufek, F. ; Leichmann, J. ; Navrátil, P. ; Pořádek, P. ; Rosendorf, T. ; Soejono, I. ; Sosna, K. ; Souček, Kamil ; Šustková, E. ; Švagera, O. ; Vavro, Leona ; Vavro, Martin ; Veselovský, F. ; Waclawik, Petr ; Zuna, M.
This report summarizes the work and partial results made under the Public Procurement Obtaining Data from the deep horizons of the Rožná Mine in the first phase of the third and fourth subdivisions from February to November 2018. These are in particular technical works (boreholes, access to corridors),seismic measurements, sampling for laboratory analysis (physical-mechanical properties of rocks, breakage fills, bearing revalidation), structural characterization of the rockanalytical work on all samples taken. Parallel to these works3D models are being prepared, especially data preparation for modeling.
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