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Revitalization of hydraulic circuits control tester
Korsa, Filip ; Dobeš, Petr (referee) ; Nevrlý, Josef (advisor)
High-quality simulation of hydraulic mechanism saves the time and other costs associated with the changes of inappropriately designed circuit. The aim of this thesis is to revitalize the test rig intended for simulating hydraulic circuits in order to verify the results of the simulation program Hyvos used internally by Bosch Rexroth Company. It is expected that the simulation of the hydraulic machinery cycles under the influence of disturbances will be carry out on the test rig and measured data are compared with results of the virtual models which are designed using the mentioned software Hyvos. The work deals with the so called position and pressure control which represent the classical modes of pressing machines or hydraulic press brakes operation cycles. The parameters of the hydraulic closed-loop axis controller for electrohydraulic drives (HACD) are set using the software Bodac.
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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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Automatic Image Analysis for Production Quality Control of Textile
Sýkorová, Tereza ; Dobeš, Petr (referee) ; Zemčík, Pavel (advisor)
This work deals with the classification of defects that occur in the production of nonwovens. The defect classification task is part of a system for automatic production quality control. The goal is to implement a method that will classify problematic defect classes with sufficient accuracy. That was achieved using convolutional neural networks (CNN). The best results were achieved by the EfficientNet network, which had an accuracy of 81% when evaluated by cross-validation on an available dataset. Within the work, a number of experiments are performed, which are focused on the modification of input data. The influence of the shape and composition of the input images on the final classification is examined. A CNN model was also implemented, which uses additional information for classification in addition to the image.
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Automatic Image Analysis for Production Quality Control of Textile
Sýkorová, Tereza ; Dobeš, Petr (referee) ; Zemčík, Pavel (advisor)
This work deals with the classification of defects that occur in the production of nonwovens. The defect classification task is part of a system for automatic production quality control. The goal is to implement a method that will classify problematic defect classes with sufficient accuracy. That was achieved using convolutional neural networks (CNN). The best results were achieved by the EfficientNet network, which had an accuracy of 81% when evaluated by cross-validation on an available dataset. Within the work, a number of experiments are performed, which are focused on the modification of input data. The influence of the shape and composition of the input images on the final classification is examined. A CNN model was also implemented, which uses additional information for classification in addition to the image.
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Generative Neural Networks for Handwritten Text
Ševčík, Pavel ; Dobeš, Petr (referee) ; Hradiš, Michal (advisor)
The aim of this study was to create a generative neural network for handwritten text lines. The model produces variable-sized images of handwritten text lines based on the expected style. The proposed method exceeds existing models in the image quality and can be used to generate both individual words and entire lines of handwritten text. It combines the use of the attention mechanism to extract the features for each character from the text query and their arranging on the line by inserting spaces between them. The new approach allows more granular control of the symbol positions on the line, which leads to smoother style interpolations. In contrast to the previous approach, the proposed method uses the Gaussian filter to spread the individual symbols features to the surrounding area. This approach also allows to train the model for symbols position predictions using the adversarial loss (GAN). In addition, annotations of symbol horizontal positions on the lines of the IAM dataset of handwritten text have been created.
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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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Fluid inclusions in gold-bearing quartz gangue from Padrť and Sobětice localities
Hemalová, Kateřina ; Zachariáš, Jiří (advisor) ; Dobeš, Petr (referee)
Quartz veins with molybdenite and gold from the locality Padrť crosscut metamorphosed Cambrian and Ordovician sediments (quartzite, arcose, cherts) of the Barrandien unit in southwest part of Central Brdy Mts.. Based on fluid inclusion microthermometry we distinguish three main generations of the quartz gangue: Q1 - the oldest quartz, that forms the main portion of gangue; Q2 - xenomorphic crystals growing on Q1, subdivided into Q2a (dark nuclei of crystals with a quantity of primary fluid inclusions) and Q2b (pellucid crystals crystallized to vugs) overgrowing Q2a; Q3 - the youngest quartz (with calcedony-like texture) that overgrowths Q2b crystals. The first generation of quartz (Q1) precipitated from low salinity (~5 wt. % eq. NaCl) aqueous-carbonic fluid with minor methane/nitrogen admixture (~ 5 mol. %). Estimated PT conditions of Q1 formation are >350 řC and ~ 400-500 MPa (depth about 15 km under lithostatic pressure). Formation of quartz Q2 and Q3 is associated with aqueous fluids. Q2 precipitated from low salinity (< 5,9 wt. % eq. NaCl) fluid at 250 to 320 řC and 60 to 120 MPa (depth about 3 - 5 km under hydrostatic pressure). Younger subgeneration Q2b contains quantity of fluid iinclusions with signs of boiling and with wide range of salinity 1,2 to 7 wt. % eq. NaCl. The Q3 was formed from even...
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