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Detached house, Červený Kostelec
Havel, Martin ; Struhala, Karel (referee) ; Kolář, Radim (advisor)
The aim of the bachelor thesis is the design of a nearly zero-energy detached house, which helps its inhabitants by its disposition and thought to maintain a healthy circadian rhythm. The building is located in Červený Kostelec. On the plot, the house is oriented with the idea of large solar gains, so with floor to ceiling windows facing south. The floor plan is T-shaped. the property has two floors and no basement. The load-bearing walls are made of aerated concrete. The floor slab consists of the Ytong Classic system slab. The open gable roof of the building is provided by truss wooden beams. On the first floor there is the main entrance, a large utility room, a separate toilet and a pantry. Then there is the entrance to the living room, which is directly connected to the kitchen. Children's rooms and bedrooms have east-facing windows. Rainwater from the roof is channeled into the storage tank. Excess rainwater is absorbed into the ground in the infiltration system. The property is connected to public sewer, electricity and public water supply. The house is heated and cooled by ceiling panels. The water is heated by an air-water heat pump. A fireplace insert with a hot-water exchanger is designed as a bivalent energy source. Photovoltaic panels on the roof are connected to batteries located in the utility room. Mechanical ventilation is proposed in the building. Total air exchange is 350 cubic meters per hour.
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Intelligent Environment for Extending Python Programming Knowledge via Self-learning
Krejčí, Jan ; Nosko, Svetozár (referee) ; Smrž, Pavel (advisor)
This thesis aims to create an intelligent environment for extending the knowledge of Python programming through self-study. A key element of this work is the implementation of feedback mechanisms. For this purpose, the capabilities and limitations of large language models have been analyzed. The developed system uses classification models to provide personalized feedback based on the analysis of student projects. The system has been deployed and tested in the Scripting Languages course at FIT BUT and received positive feedback from students. The outcome presents a comprehensive and functional system that has fulfilled its original intention and contributed to a more effective and interactive Python programming education process.
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Photovoltaic battery with nuclear light source
Koval, Jiří ; Krbal, Michal (referee) ; Katovský, Karel (advisor)
A thermophotovoltaic battery with a nuclear light source is a complex device, converting thermal energy from radioisotope decay into electrical power. The work looks for suitable fuel, construction, materials and commercial use. Individual parts of the assembly are consistently described. Assembly include a thermal radioisotope unit, an infrared radiation emitter, an optical filter to increase efficiency, photovoltaics and cooling to remove excess heat. The problem of the individual parts is the search for the highest possible efficiency due to several transformations and large energy losses. The assembly uses nuclear fuel, produced mainly during the fission reaction in nuclear reactors.
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Bearings for large scale applications
Herník, Martin ; Šperka, Petr (referee) ; Michalec, Michal (advisor)
Bearings are currently an indispensable part of industrial machines, that carry out rotational or translational motion. This bachelor's thesis discusses the use cases of bearings for large-scale applications such as wind propellers, space telescopes and many other examples in various areas of industry. At the beginning, individual types and types of bearings are divided. The largest part is devoted to the description of the use of individual types of bearings about their presence in large machines. In the final part, the design and clear division of suitable types of bearings for a specific applications is carried out.
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Anomaly Detection in System Log Files Using Machine Learning
Moresová, Eva ; Burgetová, Ivana (referee) ; Matoušek, Petr (advisor)
Detekcia anomálií v logoch je dôležitý proces, ktorý pomáha detekovať poruchy systému, pokusy o prienik do systému a ďalšie škodlivé správanie, prípadne týmto udalostiam umožňu\-je predchádzať. Moderné systémy však produkujú logy v množstvách, ktoré nie je možné analyzovať ručne. Preto sa na tento účel používa množstvo automatizovaných metód, od techník založených na pravidlách, až po prístupy používajúce hlboké učenie. Cieľom tejto diplomovej práce je porovnať niekoľko metód detekcie anomálií v logoch a určiť, ktorá z nich je najviac vhodná pre použitie na veľkých log súboroch z praxe. Reprezentantom takýchto dát je zbierka logov z produkčného AAA servera, ktoré boli poskytnuté firmou AT&T. Okrem AT&T logov boli metódy aplikované a vyhodnotené na dvoch ďalších anotovaných datasetoch, z ktorých jeden bol obohatený o synteticky generované anomálie. Táto práca využíva tri metódy detekcie anomálií: lokálny odľahlý faktor, zhlukovací algoritmus DBSCAN a OPTICS framework. Prvé dve metódy skúmajú logy na úrovni jednotlivých záznamov, zatiaľ čo posledná analyzuje celé sekvencie logov. Všetky metódy dosiahli výsledky porovnateľné s prácami, ktoré realizujú podobné prístupy.
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Small modular reactors in EU conditions
Jurčík, Jakub ; Milčák, Pavel (referee) ; Kracík, Petr (advisor)
This bachelor’s thesis is focused on small modular reactors and their comparison with current large reactors in operation, based on selected characteristics. Current energy situation and the role of nuclear power are described in the first section. It then discusses the description of selected concepts of large reactors and small modular reactors It compares the found characteristics in the last section. The thesis focuses on the technical and ecological aspects of each reactor. The results of the thesis show significant advances in nuclear technology, particularly in the field of passive safety, the primary reactor cooling circuit, and the flexibility of the use of small modular reactors in the EU power sector.
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Bez názvu
Hromadová, Michaela ; Vlková, Veronika (referee) ; Rathouský, Luděk (advisor)
I decided to conduct my bachelor's thesis as a further continuation and stage of development of my concept based primarily on the psychology of C.G. Jung, specifically on the method of active imagination. The output of this work is the realization of a series of drawings of various sizes made with white pencil on black paper, which is complemented by my music records created simultaneously with the drawings. In this series, I focus on the interweaving and synthesis of individual parts into one common whole using the synesthesia of sound and image. Here I am investigating the essence and possibilities of converting visual creation into the sound plane, for example by means of freely associating sounds and shapes, but it is generally a concept of creation in the form of pure improvisation, the goal of which is the gradual development of these two intertwining poles as one whole.
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Analysis of Malware Behavior using Large Language Models
Rádsetoulal, Vlastimil ; Homoliak, Ivan (referee) ; Očenášek, Pavel (advisor)
Táto práca skúma využitie veľkých jazykových modelov (LLMs) vylepšených technikou Retrieval-Augmented Generation (RAG) pre efektívnu analýzu správania malvéru. Začína prehľadom metód analýzy malvéru, ako statických tak dynamických. Štúdia sa zameriava na využitie rámca MITRE ATT&CK na pochopenie správania malvéru veľkým jazykovým modelom. Jadro výskumu sa zameriava na architektúru a implementáciu nástroja na analýzu správania malvéru, ktorý implementuje RAG s využitím LLMs. Tento nástroj má za cieľ pomôcť profesionálom v oblasti bezpečnosti využívať možnosti generatívnej AI na interpretáciu komplexného správania malvéru. Okrem toho, výskum zahŕňa praktické nasadenie systému pre správu bezpečnostných informácií a udalostí (SIEM), pričom využíva platformu Wazuh na detekciu simulovaných útokov. Nasadenie a testovanie prebiehajú v kontrolovanom virtuálnom prostredí. Práca poukazuje na potenciál LLM modelov pri zlepšovaní opatrení v kybernetickej bezpečnosti. Práca končí diskusiou o možných vylepšeniach implementovaného nástroja.
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Analysis and Visualization of Beekeeping Big Data
Čásar, Jozef ; John, Petr (referee) ; Hynek, Jiří (advisor)
The aim of this master's thesis is to design and create a web application for beekeepers and the general public using a dashboard tool. The application analyses large datasets from the system ApiVčelař 4.0, originating from modern beekeeping devices such as scales, temperature sensors, humidity sensors, and others. The analysed data are linked with other open source data, which are then visualized for the user. The web application is implemented using the Ionic framework with the utilization of the React framework for the user interface. The chosen database system for data storage is PostgreSQL, and the data are processed using Django technology. The selection of technologies is based on the existing application to ensure compatibility with the system ApiVčelař 4.0. The result is an application that provides new insights and information derived from large datasets for users.
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