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Web platform for online marketing
Křivánek, Tomáš ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
The work focuses on the entire process of developing web application to facilitate the connection between creators of user-generated content and online marketing managers of companies. This marketing industry is relatively new in the Czech Republic, and there are currently no platforms that simplify the interaction between these mentioned participants. The development process begins with a careful collection and analysis of the requirements of potential users of this new system. Based on the gathered requirements, the system architecture is then designed using modern technologies. For the system development, a backend in the form of a REST API is chosen, programmed using the Python FastAPI framework. Additionally, the Vue framework will be utilized on the client side. Data storage will involve MySQL and MongoDB databases, along with a cloud storage solution. After the selection of specific technologies, the implementation of the system is described, as well as how the testing of the whole application was carried out.
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Webový nástroj pro prohlížení a správu geografických a obrazových dat
Filas, Miroslav ; Klíma, Ondřej (referee) ; Musil, Petr (advisor)
The goal of this Bachelor's thesis was to design and implement an interactive web application used for previewing and managing geographical and image data. The key part of the solution is displaying geographical elements in map and image views, as well as implementation of optimization techniques of predictive loading. As a result, an app was developed with the client side implemented in the Vue.js framework, and the server side implemented with the FastAPI library and the MongoDB database.
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Processing and Visualization of Psychological Diagnostic Data
Chimenti, Andrea ; Bartík, Vladimír (referee) ; Hynek, Jiří (advisor)
Tato práce představuje informační systém vyvinutý ve spolupráci s Rehabilitačním ústavem Kladruby. Cílem systému je digitalizace a sjednocení procesu sběru, vyhodnocování a vizualizace psychodiagnostických dat. Systém je implementován jako webová aplikace s třívrstvou architekturou pomocí knihoven FastAPI a Vue.js. Aplikace umožňuje psychologům zaznamenávat výsledky testů, převádět mezi různými druhy skórů a vytvářet vizualizace pro porovnávání pacientů. Dále obsahuje modul pro export dat, který usnadňuje provádění další analýzy nebo výzkumných projektů. Aplikace úspěšně prošla uživatelským akceptačním testováním.
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Deployment of new versions of GNOME project
Pekník, Štefan ; Kolář, Dušan (referee) ; Křivka, Zbyněk (advisor)
Cílem této práce je modernizovat a automatizovat proces vydávání nových verzí projektů a aplikací GNOME. Díky integraci GitLab Continuous Integration (CI) pipelines a dedikovaného API se výrazně snižuje potřeba manuálního zásahu do vydávacího procesu. Výsledkem je nový pracovní postup, který je efektivnější, rychlejší a méně náchylný k chybám. Práce analyzuje aktuální skript ftpadmin, identifikuje oblasti ke zlepšení a navrhuje řešení založené na API jako jeho náhradu, které umožňuje kontrolovaný a automatizovaný proces vydávání prostřednictvím GitLab CI. Navrhované řešení nejen připravuje půdu pro budoucí zlepšení řízení vydávání GNOME, ale také může sloužit jako model pro ostatní projekty, které usilují o zefektivnění svých vydávacích procesů.
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Webová aplikace pro efektivní anotaci atributů objektů ve videu
Pernický, Michal ; Kohút, Jan (referee) ; Hradiš, Michal (advisor)
The goal of this work is to develop a web application for annotating video object attributes that combines an efficient user interface with an assistant classifier providing predictions. In contrast to currently available tools, the solution focuses directly on objects without assigning them to the original videos. The ability to filter objects according to their attributes and to confirm or reject predicted attribute values in bulk is important. Testing on users has been found to reduce the time spent working by up to half. This shows that further work with this annotation principle is worthwhile.
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Generating Documentation to Source Code in Python
Novosád, Juraj ; Nosko, Svetozár (referee) ; Smrž, Pavel (advisor)
The aim of this work is to adapt selected language models on domain data and to develop a system that would allow their use on commonly available hardware. The models have been adapted to generate documentation for undocumented source code in the Python progra- mming language to follow the Google Style convention. A prerequisite of model adaptation was to obtain domain data and process it appropriately for the purpose of model fine-tuning. This work focuses on fine-tuning models with fewer than one billion parameters, for the sake of enabling inference even on commonly available hardware. Part of the work was to objectively evaluate the quality of the adapted models. For this reason, I developed a tool that evaluates the quality of the generated documentation on a selected corpus of models. The evaluation of the adapted models showed that they achieve comparable performance to multiply larger models for general tasks, such as gpt-3.5-turbo-0125. The result of this work is a server capable of horizontal scaling that integrates the capabilities of more than just the adapted models through an easy-to-use API.
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User interface for asset management system
Benko, Dávid ; Orsák, Michal (referee) ; Žádník, Martin (advisor)
This thesis focuses on the development of a web user interface for an asset management system called Amfora. Amfora gathers data regarding IP addresses, services and vulnerabilities from 9 other systems. The user interface is based on three tier architecture utilizing REST API. Frontend implementation uses the Vue.js framework (TypeScript/JavaScript language) and backend implementation uses the FastAPI framework (Python language). The system has been deployed into production use in the CESNET network and presented to the security operations center team in CESNET. Amfora has significantly simplified work in solving security incidents and network monitoring.
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Industrial log server with data visualization
Asszonyi, Jakub ; Holasová, Eva (referee) ; Kuchař, Karel (advisor)
The thesis focuses on the complex design, development and implementation of an industrial logging server with integrated data visualization. The aim of the thesis was to conduct a research of the current state of the art in the field of operational and industrial technologies. The thesis also deals with basic data processing and presentation, where an analytical search of open-source tools for creating REST APIs was performed. The work includes the implementation of an industrial network simulation using the industrial Modbus protocol. The industrial logging server was developed in the Docker virtualization environment and is structured into four basic parts: a REST API (FastAPI), a user interface (Next.JS), a database (InfluxDB) and a server agent providing communication between the industrial network and the server (Telegraf). Furthermore, the paper discusses the security of the industrial server both in terms of unauthorized access to the database and user interface, and in terms of access to the server from the industrial network. In the last part of the thesis, testing of the server efficiency and functionality of all implemented parts has been done.
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Integration, Visualization, and Mining from Data of World Countries
Dušek, Vladimír ; Rychlý, Marek (referee) ; Bartík, Vladimír (advisor)
This thesis explores the utilization of open data about countries around the world, particularly data in the areas of progress and quality of life. The goal was to design and implement a web application to present this data and further use the data for data mining. The integration and processing of data from open data sources were accomplished using the Apache Airflow platform. The Python framework FastAPI was used to create the API and the JavaScript library ReactJS was used to implement the web application. In the application, the indicators are categorized. Each of them can be displayed for different groups of countries, for different time periods, and in several visualizations. From the domain of data mining, clustering of countries based on a group of indicators and prediction of future development of selected indicators using regression analysis was performed. The final application is available at jakjsmenatom.cz.
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User Interface for DDoS Mitigation Configuration
Man, Jakub ; Kekely, Lukáš (referee) ; Kučera, Jan (advisor)
Denial of service (DoS) (česky odepření služby) je častý typ útoku na internetové zařízení a sítě. Za účelem mitigace těchto útoků bylo vyvinuto síťové zařízení ,,DDoS Protector''. Konfigurace tohoto zařízení však může být komplikovaná a pro efektivní funkci vyžaduje konfiguraci uživateli, kteří se dobře orientují v problematice DoS útoků. Tato práce se zaměřuje na zjednodušení konfigurace tohoto zařízení pomocí uživatelského rozhraní. Bude vyvinuto webové uživatelské rozhraní a aplikační rozhraní. Uživatelské rozhraní umožní i méně znalým uživatelům efektivně konfigurovat DDoS Protector. Aplikační rozhraní umožní dalším vývojářům integrovat konfiguraci tohoto zařízení do dalších aplikací.
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