The quality and efficient processing of increasing amount of multimedia data is nowadays becoming increasingly needed to obtain some knowledge of this data. The thesis deals with a research, implementation, optimization and the experimental verification of automatic machine learning methods for multimedia data analysis. Created approach achieves higher accuracy in comparison with common methods, when applied on selected examples. Selected results were published in journals with impact factor [1, 2]. For these reasons special parallel computing methods were created in this work. These methods use massively parallel hardware to save electric energy and computing time and for achieving better result while solving problems. Computations which usually take days can be computed in minutes using new optimized methods. The functionality of created methods was verified on selected problems: artery detection from ultrasound images with further classifying of artery disease, the buildings detection from aerial images for obtaining geographical coordinates, the detection of materials contained in meteorite from CT images, the processing of huge databases of structured data, the classification of metallurgical materials with using laser induced breakdown spectroscopy and the automatic classification of emotions from texts.

The aim of this thesis was to implement a software that would be able to render, simulate and record a scene with walking pedestrians in real-time, with emphasis on rendering level of realism. The output of the application could serve as an input test data for people counting systems or similar systems for video recognition. The problem was divided into three major subproblems: character animation, artificial intelligence for character movement and advanced rendering techniques. The character animation problem is solved by the skeletal animation of the model. To achieve the characters moving in a scene autonomously path finding(A* algorithm) and group behaviors(steering behaviors) were implemented. Realism in a scene is added by implemented methods such as normal-mapping, variance shadow-mapping, deffered rendering, skydome, lens flare effect and screen space ambient occlusion. Optimaliaztion of the rendering was implemented using octree data structure for space partitioning. Rendering stage of a scene can be easily parametrized through implemented GUI. Implemented application provides the user with easy way of setting a scene with walking pedestrians, setting its visualization and to record the result.

This thesis addresses developments in Artificial Intelligence and the increasing trend of robotization and autonomization of military forces in the context of Revolution in Military Affairs. It examines and categorizes different approaches to concepts of AI, autonomy and RMA in the public debate and academic and military literature. It further explores potential impacts and challenges of AI and its weaponized subset - Autonomous Weapon Systems on civil-military relations, legal and ethical norms, arms control regime and general security domain. Building upon findings from previous chapters, AI and AWSs are analyzed in a context of RMA and broader socio-economic context. Specifically, AI-enabled autonomy is compared with aspects of existing remotely controlled systems. The thesis comes to a conclusion that AWSs are harbingers of the next RMA and AI has the potential to match the importance of Neolithic, Industrial and Information revolution.

This thesis deals with artificial intelligence composing classical music and ways of evaluating its performance by listeners. The text provides the first overview of the conducted experiments based on the so-called Turing test and, set up on the analysis of primary sources, it suggests possible improvements in terms of methodology. In the end, we propose an alternative test, which rejects the philosophical implications of the Turing test and, in contrast to the original experiment, also provides room for a music-theoretical analysis of the generated works.

Within the new social and technological conditions of the second half of the 20th century, new conceptions of art are being established, later described as "New Media Art". Automated processes (often with integration of artificial intelligence) of artistic creation questions the status of authorship over the final artifact. Next to the ambiguities regarding the status of the artist, the nature of the works themselves is also changing (uniqueness, simulations). The aim of the thesis is to provide theoretical and philosophical analysis of new media artworks based on the synthesis of theoretical background provided by perspectives of multiple authors. This theoretical frame, along with own practical knowledge, will be used for the analysis of selected specific new media art projects, which will provide a closer view on the contemporary computer generated artworks. The end of the thesis will be formulate thoughts about possible future developments in the field of automated creation of algorithmic art or authorship.

The thesis focuses on problem of authorship of the Internet content. It considers the question whether we can analyze the artwork purely as a closed structure of the symbols or whether it is necessary to take work as a broader structure. The first part of the thesis shows the Internet in general and its specifics it as a medium. The second part is devoted to the problem of authorship. It explains traditional view of Nelson Goodman, who examined the authenticity of artwork with regard to the internal arrangement of the elements structure of the object. The third part shows the later theories inconsistent with the views of Nelson Goodman, views of different contemporary authors who present the changes of authorship aspects in the environment which is under constant development, quickly sharing ideas and resources. New theories suggest to look beyond the authorship of the artwork domain, apply broader focous. The conclusion provides a synthesis of these views.

The diploma thesis aims to evaluate the benefits and disadvantages of the use of information and communication technologies (ICT) in the adaptation, education, and development of employees. First, the thesis will focus on the current development of personnel management in relation to the application of ICT. Furthermore, the thesis will deal with current trends related to the use of ICT in personnel management. The focus will be on ICT in the adaptation, education, and development of employees, as those are activities that are currently heavily influenced by ICT. This topic will end with an evaluation of the benefits and risks associated with the use of ICT in the activity. The thesis will also focus on the ethical aspects of the use of ICT in personnel management. The aim of the quantitative empirical survey will be to analyse the opinions of employees on ICT in adaptation, education, and development. The survey will be done in four IT organizations with more than one hundred employees based in the Czech Republic. The survey will compare the views of selected employees who joined during the COVID-19 Pandemic and employees who joined before COVID-19 Pandemic. The survey will be carried out through online questionnaires. Key words: ICT, personnel activities, employee adaptation, employee training and...

This diploma thesis aims to map the work that Ronald Inglehart published after the year 2000 and to include it in the concept of historical sociology. In my work I deal with a total of seven books, which I subject to critical reflection and at the same time I compare with other authors who commented on the given topics. The work will touch on theories of modernization, democratization, secularization and to a lesser extent civilization analysis. I will also add remarks and observations from the point of view of quantitative methodology, as Inglehart's theories are based on a large amount of quantitative data based on questionnaire surveys. The first part of my work deals with modernization theory, the next part deals with secularization and the third part focuses on the analysis of civilization. In modernization and secularization, I will first introduce versions of the theories that Inglehart and co-authors published during the first decade of the 21st century. After that, I will always reflect on recent work (2017- 2021). In the civilization part, which is the shortest, I will summarize his findings across his work. At the end of his work, Inglehart also makes predictions about future society. I also intend to analyze these findings in my diploma thesis. At the end of the work I evaluate the...

The dissertation thesis deals with Evolution optimization of control algorithms. The first part of the thesis describes the principles and partial methods of evolution optimization methods especially those used in two-level transplant evolution method. Later the grammatical evolution method is described, which modified algorithm became impulse for creation of transplant evolution method. The transplant evolution method and its two-level modification are new evolutionary algorithms proposed in this work, which were used for optimization of structure and parameters of general controllers control algorithms. The transplant evolution algorithm and its extended two-level modification are described in detail in next chapters. The proper settings of evolutionary algorithms are important for minimization the time of optimization and for finds results approaching the global optimum. For proper setting the parameters of differential evolution was created meta-evolution algorithm that is described in chapter named meta-evolution. The basic concepts of control, chosen methods of system identification and controller parameters settings are described in next part. This part describes algorithms of digital controllers and some specific methods uses in digital control. The demonstrations of control algorithm optimizations of various types of controllers are showed in experimental part. The optimized algorithms of general controllers are compared with various types of PSD controllers which were set by various algebraic methods or differential evolution for various models of systems. In the conclusion of this work is stated a recommendation for further development of evolutionary optimization of controllers are focusing on parallel and distributed computing.

This master's thesis describes artificial intelligence algorithms based on the book Artificial Inteligence: A Modern Approach by S. Russel and P. Norvig and implementation of the algorithms in the Squeak Smalltalk programming language with object oriented approach. Algorithms are based on pseudocode in the book and existing implementations in Lisp, Python and Java language. Main concepts are intelligent agents, agent simulation environments, state space search, game playing, planning, uncertainty and learning.