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Extending Presentation Features of Jupyter Notebook
Pastorek, Peter ; Dytrych, Jaroslav (referee) ; Smrž, Pavel (advisor)
This work deals with Jupyter Notebook environment. It extends its abilities for presenting programming, allows downloading of materials from html documents, improves the look of presentations, allows automated preparation of the document for the presentation, editing of RISE settings used for presentation, and editing conversion of the document into LaTeX.
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Implementation of local DNA structures analysis tool
Kaura, Patrik ; Trenz, Oldřich (referee) ; Šťastný, Jiří (advisor)
This diploma thesis is focused on the description and implementation of the API wrapper application, which works on top of computational core ibp bioinformatics. The first half of the thesis is focused on the summary of basic knowledge in the field of DNA research, as well as the specification of the problem and description of selected technologies. The other half deals with the actual implementation, distribution, and evaluation of application applicability on specific DNA sequences.
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Software for visualization and processing of volumetric data
Viktorínová, Michaela ; Jakubíček, Roman (referee) ; Harabiš, Vratislav (advisor)
The work summarizes the possibilities of volume data displaying. It deals with the scalar type of volume algorithms, which are then divided into techniques of indirect and direct rendering of volume data. From indirect techniques the Marching Cubes method is mentioned. Direct techniques are further divided into trivial and advanced algorithms. The practical part describes the design, implementation and evaluation of the functionality of implemented program that uses trivial methods. The overall evaluation consists of partial evaluations of the computational complexity, the memory load and the quality of final rendering while using different methods and types of input volume data.
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Twitter data analysis tool
Rýdl, Pavel ; Komosný, Dan (referee) ; Galáž, Zoltán (advisor)
This work deals with the creation of an application for automatic downloading and Twitter data analysis based on natural language processing techniques. The application is created in the Python programming language. A development environment Jupyter Notebook was used for creating the application, where the entire application, including GUI, was implemented. In the section of theory are data downloading issues and data analysis by natural language processing described. In the part of implementation there is solution of the application described in several steps, such as creating the application on the Twitter's side, downloading, preprocessing, data analysis with techniques of natural language processing and following visualization. There was also a technique with no natural language processing implemented. Testing run on tweets that contained reference to US president Donald Trump.
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Particle Swarm Optimization Library
Hruban, Milan ; Strnadel, Josef (referee) ; Bidlo, Michal (advisor)
The aim of this thesis is to develop a library that is able to solve optimization tasks using PSO. The library is implemented using Kotlin and is designed to achieve high extensibility and usability. Moreover, a tool for processing and statistical analysis of experiments performed using the library is implemented by means of the Jupyter Notebook environment. The utilization of these tools creates a setup suitable for experimenting with the current and developing new variations of the PSO algorithm.
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Design of Methods for Encrypted Traffic Visualization
Hlučková, Pavla ; Martinásek, Zdeněk (referee) ; Malina, Lukáš (advisor)
This thesis deals with design of methods for encrypted traffic visualization. It generally describes selected encrypted traffic protocols, whose data samples were collected later on to form a dataset. Furthermore, it focuses on the topic of IP flow monitoring and decribes the means of carrying out such monitoring. An important part of this thesis is the dataset created from the samples of mentioned protocols and the visualizations of different statistics and metadata gatherable from (extended) IP flows of these protocols. The designed methods of visualization are implemented using the Python programming language and the Jupyter Notebook technology.
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Set of Computer Exercises for Signals and Systems
Pálka, Petr ; Žmolíková, Kateřina (referee) ; Černocký, Jan (advisor)
The goal of this bachelor thesis is to transform the current format of materials for computer exercises from the Signals and Systems course into Jupyter environment. Current materials are divided by topics into individual PDF files that contain relevant theory and MATLAB code examples. These PDF materials cover basics of digital signal processing on computer. Produced Jupyter notebooks contain theory from original materials in Markdown + LaTeX, and MATLAB code examples are replaced by Python examples. In addition to current materials, they display output of the Python code which may include graphs, playable audio, text, image or some interactive combination of listed.
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Vizualization of Automata Algorithms
Kuchyňka, Jiří ; Češka, Milan (referee) ; Holík, Lukáš (advisor)
Tato práce se zabývá návrhem a implementací generického systému k vizualizaci algoritmů, které pracují nad automaty. Výsledný systém zcela odděluje část, která se věnuje generování dat k vizualizaci a část, která se věnuje vizualizování. Systém pouze určuje jejich komunikační rozhraní. Práce se zaměřuje na integraci takovéhoto systému do existujících knihoven takovým způsobem, aby byly minimalizovány požadavky na programátora, k tomu aby mohl vizualizovat stav svého algoritmu. Práce se také zkráceně věnuje možnostem využití tohoto systému k vizualizaci stavu algoritmu při krokování programem během ledění. Navržený systém může být použit pro výuku, výzkum a praktické aplikace v oblasti teorie automatů. V budoucnu by mohl být systém rozšířen o nástroje k vizualizaci turingových strojů a algoritmů pracujících nad nimi.
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Set of Computer Exercises for Signals and Systems
Pálka, Petr ; Žmolíková, Kateřina (referee) ; Černocký, Jan (advisor)
The goal of this bachelor thesis is to transform the current format of materials for computer exercises from the Signals and Systems course into Jupyter environment. Current materials are divided by topics into individual PDF files that contain relevant theory and MATLAB code examples. These PDF materials cover basics of digital signal processing on computer. Produced Jupyter notebooks contain theory from original materials in Markdown + LaTeX, and MATLAB code examples are replaced by Python examples. In addition to current materials, they display output of the Python code which may include graphs, playable audio, text, image or some interactive combination of listed.
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Software for visualization and processing of volumetric data
Viktorínová, Michaela ; Jakubíček, Roman (referee) ; Harabiš, Vratislav (advisor)
The work summarizes the possibilities of volume data displaying. It deals with the scalar type of volume algorithms, which are then divided into techniques of indirect and direct rendering of volume data. From indirect techniques the Marching Cubes method is mentioned. Direct techniques are further divided into trivial and advanced algorithms. The practical part describes the design, implementation and evaluation of the functionality of implemented program that uses trivial methods. The overall evaluation consists of partial evaluations of the computational complexity, the memory load and the quality of final rendering while using different methods and types of input volume data.
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