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Transformation of British Muslim Community and the Rushdie Affair
Kolář, Martin ; Hnízdo, Bořivoj (advisor) ; Kučera, Rudolf (referee)
The publication of Rushdie's novel back in 1988 has been defining moment for British Muslim identity and Muslim activism. Before the Rushdie affair the Muslim community living in Britain were part of larger community described as Asians. They have been divided into several sects mostly of Deobandi and Barelvi movements. British Muslims who knew about the book from their friends from India who wrote them a letter about their immediate success in banning the book there. One of the Muslims from Islamic Foundation in Leceister bought the book and read the book. After reading it we felt deeply hurt by the booked. He photocopied the most offensive parts of the book and sent it the other Muslim organizations. That is how the Satanic Affair started oin Britain. Soon after that Muslims tried to get the book banned by using the blasphemy law. However they soon found out that it only applies to Anglican Church. Ignored by the government and the media, they took more resolute steps which reached its peak on 14th January 1889 by public burning of the Satanic Verses. They hope that such dramatic event showing their outrage would attract public attention and pot more pressure on the government to act. The video made during the burning was soon showed all around the world hovewer public reaction was not a kind they were...
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Pathophysiology of Brain Injury after Subarachnoid Haemorrhage and its Management Options
Kolář, Martin ; Pachl, Jan (advisor) ; Gál, Roman (referee) ; Zazula, Roman (referee)
Aneurismal subarachnoid hemorrhage (SAK) is a cerebrovascular accident with high mortality. It carries both short and long term consequences. Mechanisms of neurologic damage after SAK include intracranial hypertension, early and delayed brain vasoconstriction, as well as inflammatory response are involved. Vasoconstriction is a crucial phenomenon in both early and delayed phases and nitric oxide (NO) plays the key role. Aim of the study was to test following hypotheses in animal model: 1. Subarachnoid hemorrhage causes decrease of brain perfusion by mechanism of intracranial hypertension and early vasoconstriction, 2. Both administration of vasodilator - NO donor, and elimination of intracranial hypertension can reverse the early hypoperfusion, 3. SAH leads to generation of free radicals, 4. Administration of antioxidant (melatonin) can attenuate the free radical damage. Methods: Adult male Wistar rats were used for the experiments. SAH was induced by injection of arterial blood into prechiasmatic cistern. Perfusion of brain cortex was measured by Laser Speckle Contrast Analysis (LASCA). In the first experiment, SAH was induced and sodium nitroprusside (SNP, 10 µg / 5 µl) was administered into the lateral ventricle in 2 phases according to the dynamics of perfusion changes: (1) all animals received...
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Active Brownian Ratchets
Kolář, Martin ; Holubec, Viktor (advisor) ; Novotný, Tomáš (referee)
A currently intensively researched area of physics is Active Brownian ratchets, devi- ces capable of directing the motion of particles by utilizing their activity. In the bachelor thesis, we proposed a ratchet operating only due to the spatial dependence of the par- ticle velocity, and thus without the use of periodic potentials or walls. We verified its functionality using two mutually independent numerical methods. Our main result is the dependence of the particle probability flux on parameters describing the relative influ- ence of activity and diffusion on particle motion. Using the mean value of the particle orientation, we have illustrated its behaviour in the ratchet. This allowed us to reveal how the ratchet works. 1
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Warehouse Simulation and Product Distribution Optimization for Increased Throughput
Kočica, Filip ; Kolář, Martin (referee) ; Kodym, Oldřich (advisor)
This thesis focuses on the storage location assignment problem using modern meta-heuristic techniques combined with realistic simulation. A graphical tool implemented as part of this work is capable of warehouse model creation, generation of synthetic customer orders, optimization of product allocation using state of the art techniques, extensive warehouse simulation, and a pathfinder capable of finding the shortest path for orders going through the system. The work presents the comparison between different approaches based on many parameters to reach the most efficient allocation of products to warehouse slots. The author conducted tests on an experimental warehouse featuring almost twice the throughput -- 57%. The benefit of this work is a possibility to create model of an already built warehouse and its simulation and optimization, driving impact on the throughput of the warehouse, saving the user's resources, or helping him in planning and bottle-neck identification. Furthermore, this thesis introduces a new approach to warehouse optimization and new optimization criteria.
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Neural Network for Autocomplete in the Browser
Kubík, Ján Jakub ; Zemčík, Pavel (referee) ; Kolář, Martin (advisor)
The goal of this thesis is to create and train a neural network and use it in a web browser for English text sequence prediction during writing of text by the user. The intention is to simplify the writing of frequent phrases. The problem is solved by employing a recurrent neural network that is able to predict output text based on the text input. Trained neural network is then used in a Google Chrome extension. By normalized ouput of the neural network, text choosing by sampling decoding algorithm and connecting, the extension is able to generate English word sequences, which are shown to the user as suggested text. The neural network is optimized by selecting the right loss function, and a suitable number of recurrent layers, neurons in the layers, and training epochs. The thesis contributes to enhancing the everyday user experience of writing on the Internet by using a neural network for English word sequence autocomplete in the browser.
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Parametric 2D/3D Models
Šober, Patrik ; Kolář, Martin (referee) ; Zemčík, Pavel (advisor)
The aim of this thesis was to create an application for the creation and manipulation of 2D and 3d models trough parametric construction. The work gradually describe the theoretical basis around the creation and representation of 3D models in computer graphics, the concepts of parametric construction and the introduction of similar applications, including their differences. Next is described method of creating an application based on the create design from the accuired knowledge. Finally, the application was tested, focusing on the testing user interface and the load on the rendering system.
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Parametric 3D Models
Ondrejó, Michal ; Kolář, Martin (referee) ; Zemčík, Pavel (advisor)
The aim of this work is to propose possibilities of interconnection of objects in parametric model. Individual options are implemented in the parametric three-dimensional modeling system. This system allows the creation of models using various geometric operations, change parameters at any time, animate the created model, and save the parametric model in a human-readable format. The proposed solution was implemented and evaluated on simple example.
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Automatic Video Colorization
Mikeska, Tomáš ; Kolář, Martin (referee) ; Hradiš, Michal (advisor)
This thesis deals with fully automatic colorization of video and images using convolutional neural networks. It summarizes existing approaches, architectures and several objective functions. In this thesis several neural networks with different objective functions are implemented and trained for automatic colorization. The best of them is able to colorize large diversity of scenes and is sufficient to produce coherently colorized video.
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Generating Faces with Conditional Generative Adversarial Networks
Venkrbec, Tomáš ; Hradiš, Michal (referee) ; Kolář, Martin (advisor)
The main goal of this thesis is to implement and compare models based on various architectures of conditional generative adversarial networks. Their main purpose is to conditionally generate realistic looking human faces with selected features. Results from models using DCGAN, WGAN-GP and ProGAN architectures were compared. Models were implemented using Tensorflow library and were trained on Flickr-Faces-HQ dataset. Across all used architectures, I managed to train models capable of generating realistic human faces, with an option to select age and gender.
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Algorithmic Accompaniment Composition
Vinš, Jakub ; Hradiš, Michal (referee) ; Kolář, Martin (advisor)
This thesis deals with problems of computer music, especially with generating accompaniment to an existing song in MIDI format by means of artificial neural networks. Existing methods of algorithmic music composition are presented in the beginning. Followed by problems and their solutions connected with the conversion of MIDI files to matrices, which are suitable as an input for neural network and their inverse transformation. Subsequently are proposed, created, optimized and evaluated models which generate saxophone and piano accompaniment by means of feedforward and recurrent neural network. At the end model generates accompaniment to my own song as a form of a test.
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