This work deals with algorithms for distributing and mapping content on nodes in CDN system. Compares local and global algorithms for loading files on origin and edge servers. A high level CDN simulator is made. A matrix based approach for mapping content on CDN servers is proposed along with tranformation for solution of mapping optimalisation through genetic algorithms.

This thesis provides compact solutions and shows process, how it is possible to implement Information system which automatically tests students projects. The use of J2EE technology is required in assignment of this thesis. Using of other technologies depends on which way of the assignment´s solution was choosen. In the part one of the thesis an option of technologies used for the system development is implemented. The reason why used application server, database server and CMS solution were chosen is given here. The choice of CMS applicatin is reasoned in more detailed way. A building tool Ant and Junit package are introduced here as well as cascade styles and other technologies used in an application. Ant was used to build a module and students projects. JUnit package is available to test classes. In the second part of the thesis the application is designed. It is showed here how to create a web module, what components the module has to contain and how to implement required function of the system with contribution of classes, library OpenCms and Java. The second part is divided into three chapters. The first shows system workflow, which defines the way of work with application according to defined role in system .The second of them is focused on the web module and its parts. It introduces application pages designed for registration, projects assignment, projects and scripts upload and navigation pages. The three chapter is aimed at a web content. It introduces a data files and HTML output pages. Other parts of the thesis are focused on the safety of the application and the way of communication with Jplag detection of plagiarism.

Continual raise of data and information amount requires more sophisticated methods and procedures for their processing. The complexity of information systems and their specialized components increases with the volume of processed data. Applications for business process management support and for capacity and efficiency improving have formed a few basic categories for that this terminology becomes common: Business Process Management, Enterprise Content Management and Document Management System. These systems are known in commercial sphere and also in civil service and is used in many corporations. Diploma thesis focuses on the discovery of real situation how these systems are used at universities where they are applied very slowly. The aim of the thesis is to formulate recommendation for implementation of these systems in environment of The Brno University of Technology as a project study.

The thesis deals with map content analyzes of selected historical and contemporary cartographic products which display area Blovicko and production of Homeland Studies map of this area. Except the foundations of cartography and Homeland Studies maps, in the theoretical part is also described and defined area of interest. The practical part contains a description of map content analyzes of geographical names, map symbols and countryside development and also a description of creating Homeland Studies map of Blovicko. Parts of the thesis are tables related to map content analysis, sections of cartographic products which were used for the analysis and the Home Studies map in printed and electronic shape.

This MSc Thesis was performed during a special practice at The Open University, Milton Keynes, UK. In recent years a number of new approaches for visualising and browsing document collections have been developed. These approaches try to address the problems associated with the growing amounts of content available and the changing patterns in the way people interact with information. Users now demand better support for exploring document collections to discover connections, compare and contrast information. Although visual search interfaces have the potential to improve the user experience in exploring document collections compared to textual search interfaces, they have not yet become as popular among users. The reasons for this range from the design of such visual interfaces to the way these interfaces are implemented and used. This work studies these reasons and determines the factors that contribute to an improved visual browsing experience. Consequently, by taking these factors into account, a novel visual search interface that improves exploratory search and the discovery of document relations is designed, implemented and evaluated.

Procedural Content Generation is now used in many games to generate a wide variety of content. It often uses players controlled by Artificial Intelligence for its evaluation. PCG content can also be used when training AI players to achieve better generalization. In both of these fields, evolutionary algorithms are employed, but they are rarely used together. In this thesis, we use the coevolution of AI players and level generators for platformer game Super Mario. Coevolution's benefit is, that the AI players are evaluated by adapting level generators, and vice versa, level generators are evaluated by adapting AI players. This approach has two results. The first one is a creation of multiple level generators, each generating levels of gradually increased difficulty. Levels generated using a sequence of these generators also mirror the learning curve of the AI player. This can be useful also for human players playing the game for the first time. The second result is an AI player, which was evolved on gradually more difficult levels. Making it learn progressively may yield better results. Using the coevolution also doesn't require any training data set.

Procedural content generation is a method that is sometimes used in video games to increase their replayability. In our previous work (Nepožitek, 2018), we implemented an algorithm for procedural generation of 2D dungeons, with the main focus on giving game designers complete control over the structure of generated levels. The algorithm takes a set of user-defined building blocks as input and produces levels that all follow the structure of a specified level connectivity graph. In the first part of the thesis, we address some shortcomings of our previous work. We improve the algorithm with several new features such as better support for corridors between rooms or the possibility to generate platformer levels. We also propose several performance improvements and analyze the speed of the algorithm on various inputs. In the second part of the thesis, we present an integration of our algorithm into the Unity game engine. In the final part of the thesis, we demonstrate that our generator is able to produce levels that are similar to what we can see in two popular games - Enter the Gungeon and Dead Cells. The resulting algorithm is much faster than the previous version, contains new features and is ready to be used in the Unity game engine.

This thesis is focused on P, K and Mg fertilizing in precision agriculture all shown on a model of winter wheat with expected yield of 7,7 t.ha-1. Although it is a model, it is based on the specific results of laboratory analysis of the collected samples from the lands around Otnice village. Six options of fertilizing were compared. Four of them concerned variable application; in accordance with the principles of precision farming, spatial differences in the content of nutrients P, K, Mg were taken into account. Two variants of variable-rate fertilization were calculated using the yield potential made from satellite imagery. Variable rates were defined with geographic information system environment. The other two options were computed with the traditional approach, when the land is treated as uniform unit and only one amount of the fertilizer is applied to it. There were two methods used for correction the fertilizer amount. One traditional and other could have divided the parcels into sixteen classes instead of five as traditional method. The variable variation which took into account the spatial differences in nutrient content and also the yield potential was evaluated as the most optimal option.

This diploma theses attempts to find answers to the question: How does the media represent environmental activists? Using the anti-logging protests in Šumava National Park that resulted in blockades in 1999 and 2011 as an example. The author tries to capture the background of the affair, and the view of Czech society towards environmental activists, which is significantly influenced by the media. The analytical part combines qualitative and quantitative research methods based on content analysis of two selected daily news sources (Mladá fronta Dnes and Právo). Emphasis is given to the dynamics of the affair, which is why longer time periods are analyzed, comprising one year before and two years after each blockade. Key words: Šumava, media, environmental activists, blockade, content analysis

This paper explores the visual content of the Russian Embassy in London in connection to the Skripal poisoning in Salisbury, UK on March 4, 2018. Considering the Skripal poisoning as a significant event in the relationship between the UK and Russia, that Russian disinformation increases substantially surrounding events perceived as key to security, and that the Russian Embassy in London is increasingly coming under investigation for controversial content, the aim of this paper is to deconstruct the tweets made by the Russian Embassy in London using the Skripal poisoning as a case study. This paper also situates this event within the broader context of Russian strategic narratives and disinformation. Tweets made by the Russian Embassy in London were collected between March 4th and Sept. 28th , 2018 and categorized visually into representations of actors, events, and message. Bleiker's (2015) visual content analysis framework was used, specifically through compositional, semiotic and discursive analyses. Through this deconstruction of visual conflict framing, it is hoped that a better understanding of the building blocks of Russian state disinformation can be ascertained within the UK domestic media environment.