Yes (13613)
No (3720)
Number of found documents:
17333
Published from
to
Návrh kybernetického polygonu ve virtuální realitě
Nguyen, Van Phuc; STODOLA,, Jiří; Číka, Petr
2024 - English
Diplomová práce představuje návrh a implementaci kybernetické tělocvičny pro virtuální realitu, která integruje imerzivní technologie pro modelování sítě. Na základě teorií z oblasti kybernetické bezpečnosti a sítí, virtuální reality, studie vytváří teoretický rámec. Je uvedena analýza SOTA, která přezkoumává použití VR v oblasti kybernetické bezpečnosti. Metodicky práce využívá Unreal Engine 5 pro vytvoření syntetického 3D prostředí a návrh interaktivních principů objektů ve virtuálním světě. V rámci praktické části práce je podrobně popsána architektura systému, interakce mezi IT komponentami, simulující podmínky reálného světa, přenesené do virtuální reality. Implementace zahrnuje programování platformy s důrazem na problémy a jejich řešení. Výsledky a diskuse analyzují efektivitu simulátorů pro výcvik v kybernetické bezpečnosti, rámovanou stanoveným teoretickým rámcem. V závěru studie jsou uvedena doporučení pro budoucí zlepšení a praktické využití. The master’s thesis presents the design and implementation of a Virtual Reality Cyber Gym, integrating immersive technologies for modelling a network. Drawing on theories from cybersecurity, networking, and virtual reality, the study establishes a theoretical framework. A SOTA analysis is provided to review the application of VR in the field of cyber security. Methodologically, the thesis employs Unreal Engine 5 for creating a synthetic 3D environment and design the interactive principles of objects in virtual world. As part of the practical work, the system architecture details interactions among IT components, simulating the conditions of the real world, transferred to virtual reality. Implementation involves programming the platform, emphasizing challenges and solutions. Results and discussions analyze the effectiveness of simulators for cybersecurity training, framed by the established theoretical framework. The study concludes with recommendations for future improvement and practical applications.
Keywords:
Unreal Engine; VR; virtual reality; networking; cybersecurity; network simulator; Unreal Engine; VR; virtuální realita; počítačová síť; kybernetická bezpečnost; síťový simulátor
Available in a digital repository NRGL
Návrh kybernetického polygonu ve virtuální realitě
Diplomová práce představuje návrh a implementaci kybernetické tělocvičny pro virtuální realitu, která integruje imerzivní technologie pro modelování sítě. Na základě teorií z oblasti kybernetické ...
Optimizing of cyber security of Precision Time Protocol (PTP) on Ethernet for ARM based CPU
Latinovič, Borivoje; Ištvánek, Matěj; Smékal, Zdeněk
2024 - English
This thesis provides the selection and implementation of different security protocols to be used with Precision Time Protocol (PTP). The thesis further tests the behavior of PTP under different security protocols, using an automatized measurement tool, and analyses the effect on PTP in order to determine the most optimal security protocol. This thesis provides the selection and implementation of different security protocols to be used with Precision Time Protocol (PTP). The thesis further tests the behavior of PTP under different security protocols, using an automatized measurement tool, and analyses the effect on PTP in order to determine the most optimal security protocol.
Keywords:
Precision Time Protocol (PTP); Synchronization; Timing; Encryption; Encapsulation; Linux; Precision Time Protocol (PTP); Synchronization; Timing; Encryption; Encapsulation; Linux
Available in a digital repository NRGL
Optimizing of cyber security of Precision Time Protocol (PTP) on Ethernet for ARM based CPU
This thesis provides the selection and implementation of different security protocols to be used with Precision Time Protocol (PTP). The thesis further tests the behavior of PTP under different ...
Time Series Forecasting Using Machine Learning
Elrefaei, Islam; Galáž, Zoltán; Hošek, Jiří
2024 - English
The aim of this thesis is to explore the application of various artificial intelligence (AI) techniques for the prediction of time series data, which is prevalent in fields such as finance, economics, and engineering. Accurate time series prediction is essential for effective decision-making and planning. This thesis reviews several traditional and state-of-the-art AI techniques used for time series prediction, including linear regression, ARIMA, support vector regression, random forests, and deep learning. These techniques are applied to different time series datasets, encompassing both univariate and multivariate data. The performance of the predictive models is evaluated using various scalar metrics. The performance of the models was different depending on the type of the dataset. Additionally, this thesis includes the development of a user interface application that allows users to change parameters and forecast new results based on their entries. Furthermore, the thesis discusses the challenges and limitations of using AI techniques for time series prediction and provides suggestions for future research directions. The aim of this thesis is to explore the application of various artificial intelligence (AI) techniques for the prediction of time series data, which is prevalent in fields such as finance, economics, and engineering. Accurate time series prediction is essential for effective decision-making and planning. This thesis reviews several traditional and state-of-the-art AI techniques used for time series prediction, including linear regression, ARIMA, support vector regression, random forests, and deep learning. These techniques are applied to different time series datasets, encompassing both univariate and multivariate data. The performance of the predictive models is evaluated using various scalar metrics. The performance of the models was different depending on the type of the dataset. Additionally, this thesis includes the development of a user interface application that allows users to change parameters and forecast new results based on their entries. Furthermore, the thesis discusses the challenges and limitations of using AI techniques for time series prediction and provides suggestions for future research directions.
Keywords:
Time Series; Forecasting; Python; Machine Learning; Time Series; Forecasting; Python; Machine Learning
Available in a digital repository NRGL
Time Series Forecasting Using Machine Learning
The aim of this thesis is to explore the application of various artificial intelligence (AI) techniques for the prediction of time series data, which is prevalent in fields such as finance, economics, ...
Klasifikace RF signálů pomocí umělé inteligenci
Turák, Samuel; Ulovec, Karel; Polák, Ladislav
2024 - English
Táto práca sa zameriava na klasifikáciu rádiofrekvenčných (RF) signálov založenú na hlbokom učení. Pre tento účeľ, tri neuronové siete sú vybrané a prezentované: Konvolučná Neurónová Sieť (CNN), Sieť s Bránovými Rekurentnými Jednotkami (GRU), Konvolučná Hlboká Neurónová Sieť s Bránami (CGDNN). Všetky sú trénované a vyhodnotené na viacerých datasetoch, ovplyvnené rôznymi RF rušeniami, pre klasifikáciu rôznych bezdrátových štandardov. Signály v jednotlivých datasetoch boli vytvorené pomocou aplikácie Wireless Waveform Generator v programu MATLAB. Jeden verejne dostupný dataset na klasifikáciu modulácie je takisto testovaný na modeloch. Použité prístupy k predspracovaniu dát, tréningu modelov a vyhodnoteniu modelov sú implementované v programovacom prostredí Python s využitím knižníc ako Scikit-learn a Keras. \mbox{Získané výsledky} sú prehľadne prezentované a diskutované. This thesis focuses on Deep learning-based radio frequency (RF) signal classification. For this purpose, three neural networks are selected and introduced: Convolutional Neural Network (CNN), Gated Recurrent Unit Network (GRU) and Convolutional Gated Deep Neural Network (CGDNN). All are trained and evaluated on multiple datasets, influenced by different RF impairments, for wireless standard classification. The waveforms in these datasets have been created by the Wireless Waveform Generator app in MATLAB. One publicly available modulation classification dataset is also being tested on the models. The performed approaches of data preprocessing, model training and model evaluation are implemented in the programming environment Python, utilizing libraries such as Scikit-learn and Keras. The obtained results are evaluated and discussed.
Keywords:
Radiofrequency (RF) signals; deep learning; neural network; dataset; RF impairments; Python; MATLAB; Rádiofrekvenčné (RF) signály; hlboké učenie; neurónová sieť; dataset; RF rušenia; Python; MATLAB
Available in a digital repository NRGL
Klasifikace RF signálů pomocí umělé inteligenci
Táto práca sa zameriava na klasifikáciu rádiofrekvenčných (RF) signálov založenú na hlbokom učení. Pre tento účeľ, tri neuronové siete sú vybrané a prezentované: Konvolučná Neurónová Sieť (CNN), Sieť ...
Výukový satelit formátu PocketQube
Veverka, Jiří; Zamazal, Michal; Povalač, Aleš
2024 - English
Tato diplomová práce je zaměřena na návrh výukového satelitu typu PocketQube 2P (50x50x100mm) a pozemní stanice, které budou využívány ve výuce STEM laboratoří. Navržený systém byl navržen s důrazem na modularitu, snadnou výměnu za použití komerčních volně dostupných součástek a snadné pochopení subsystémů, které lze v družici tohoto typu nalézt, tedy palubní počítač, komunikační modul, napájecí systém a payload. Mimo vnitřních modulů byla vyvinuta i vnější konstrukce, která je celá vyrobena z desek plošných spojů a dohromady tvoří základ družice. Vyvinutá družice a pozemní stanice využívají ke komunikaci rádiový modul RFM98W s modulací LoRa. This diploma thesis is focused on the design of a 2P (50$\times$50$\times$100mm) PocketQube type educational satellite and Ground station, which will be used in STEM laboratory classes. The proposed system was designed with emphasis on modularity, ease of replacement using commercial off-the-shelf components, and easy understanding of the subsystems one can find in a satellite of this type - On-Board Computer, Communication module, Electric Power System module, and Payload. Among these modules was developed an external structure, made entirely out of PCBs and together form the basis of the satellite. The developed satellite and Ground station utilize RFM98W radio module with LoRa modulation for communication.
Keywords:
On-board Computer (OBC); Electrical Power System (EPS); Communication system (COM); PocketQube; satellite; STM32; LoRa; RFM98W; Ground station; Payload; Palubní počítač; Napájecí systém; Komunikační systém; PocketQube; satelit; STM32; LoRa; RFM98W; Pozemní stanice; Payload
Available in a digital repository NRGL
Výukový satelit formátu PocketQube
Tato diplomová práce je zaměřena na návrh výukového satelitu typu PocketQube 2P (50x50x100mm) a pozemní stanice, které budou využívány ve výuce STEM laboratoří. Navržený systém byl navržen s důrazem ...
Oligomerization state and pigment contents of algal light-harvesting proteins
MALINOVÁ, Kateřina
2023 - English
Light-harvesting antennas (LHCs) from four microalgae species (diatom Phaeodactylum tricornutum, haptophyte Emiliania huxleyi, and two eustigmatophytes Nannochloropsis oceanica and Trachydiscus minutus) were studied. LHCs were extracted and purified using sucrose gradient ultracentrifugation and ion-exchange chromatography. Oligomerization states of LHCs were assessed using two independent methods - CN-PAGE and size-exclusion chromatography. Effects of the purification on LHC pigment composition was assessed using HPLC. Light-harvesting antennas (LHCs) from four microalgae species (diatom Phaeodactylum tricornutum, haptophyte Emiliania huxleyi, and two eustigmatophytes Nannochloropsis oceanica and Trachydiscus minutus) were studied. LHCs were extracted and purified using sucrose gradient ultracentrifugation and ion-exchange chromatography. Oligomerization states of LHCs were assessed using two independent methods - CN-PAGE and size-exclusion chromatography. Effects of the purification on LHC pigment composition was assessed using HPLC.
Keywords:
pigments; LHC; HPLC; alga; SEC; IEC
Available in the Digital Repository of University of South Bohemia.
Oligomerization state and pigment contents of algal light-harvesting proteins
Light-harvesting antennas (LHCs) from four microalgae species (diatom Phaeodactylum tricornutum, haptophyte Emiliania huxleyi, and two eustigmatophytes Nannochloropsis oceanica and Trachydiscus ...
Regulace killer acquisitions dle evropského soutěžního práva v evropském a mezinárodním srovnání
Jakob, Sebastian; Šmejkal, Václav; Svobodová, Magdaléna
2023 - English
1 English abstract Merger regulation of killer acquisitions under European competition law in European and international comparison Collen Cunningham, along with her colleagues, introduced a novel theory of harm known as a "killer acquisition" in her paper titled "Killer Acquisitions." A killer acquisition involves an already well-established market player acquiring a potential competitor with the intent to discontinue the acquired innovation project. The primary objective of such an acquisition is to eliminate potential competition that might arise from the innovative project of the acquired competitor. Typically, the potential targets of such scenarios are innovative start-ups that do not generate sufficient turnover to trigger the notification threshold employed in the EU, which relies solely on the turnover of merging parties. As a result, the European Commission sought other ways to assert jurisdiction over such transactions, most notably through the utilization of Article 22 of the Merger Regulation. However, it is argued that the current system of merger control at the European level is not bulletproof and a potential enforcement gap necessitating an amendment of the Merger Regulation exists. Consequently, several alternative criteria have been analysed, namely, the market-share test used in Spain... 1 Český abstrakt Regulace killer acquisitions dle evropského soutěžního práva v evropském a mezinárodním srovnání Collen Cunningham spolu se svými kolegy představila ve své práci nazvané "Killer Acquisitions" novou teorii újmy známou jako "killer acquisitions". Zabijácká akvizice spočívá v tom, že již zavedený hráč na trhu akvíruje potenciálního konkurenta s úmyslem ukončit jeho inovační projekt. Hlavním cílem takové akvizice je eliminovat potenciální konkurenci, která by mohla vzniknout v důsledku inovačního projektu akvírovaného konkurenta. Obvykle jsou potenciálními cíli takových scénářů inovativní začínající podniky, tzv. start-upy, které nedosahují obratu dostatečně vysokého, aby byla překročena prahová hodnota pro oznámení spojení používaná v EU, která vychází pouze z obratu spojujících se podniků. V důsledku toho Evropská komise hledala jiné způsoby, jak získat jurisdikci nad takovými transakcemi, zejména prostřednictvím využití článku 22 Nařízení o kontrole spojování. Práce vychází z předpokladu, že současný systém kontroly spojování na evropské úrovni není neprůstřelný a že existuje potenciální mezera, která vyžaduje změnu Nařízení o kontrole spojování. Proto bylo analyzováno několik alternativních jurisdikčních kritérií. Konkrétně test tržního podílu používaný ve Španělsku a Portugalsku, švýcarská...
Keywords:
Zabijácké akvizice; spojení s nízkým obratem; změna nařízení o kontrole spojování; prahováhodnota pro oznamování; kontrola koncentrací; Killer acquisitions; low turnover mergers; amendment of the Merger Regulation; notificationthreshold; merger control
Available in a digital repository NRGL
Regulace killer acquisitions dle evropského soutěžního práva v evropském a mezinárodním srovnání
1 English abstract Merger regulation of killer acquisitions under European competition law in European and international comparison Collen Cunningham, along with her colleagues, introduced a novel ...
Structural and functional characterization of the E3 ligase BIRC6
GRATZL, Sascha
2023 - English
The aim of the thesis was to characterize the ubiquitin ligase BIRC6 in several contexts. The goal was to expand the knowledge on the selectivity of E1-E2 recognition, to increase the known substrate range of BIRC6, and to elucidate the molecular interactions fulfilled by BIRC6 during autophagy via interaction with GABARAP. In addition, it was aimed to gain a better understanding on the general ubiquitination mechanism in E2/E3 hybrid enzymes, to identify the ubiquitination sites of known apoptotic and autophagic substrates and to enlighten substrate recognition by BIRC6. The aim of the thesis was to characterize the ubiquitin ligase BIRC6 in several contexts. The goal was to expand the knowledge on the selectivity of E1-E2 recognition, to increase the known substrate range of BIRC6, and to elucidate the molecular interactions fulfilled by BIRC6 during autophagy via interaction with GABARAP. In addition, it was aimed to gain a better understanding on the general ubiquitination mechanism in E2/E3 hybrid enzymes, to identify the ubiquitination sites of known apoptotic and autophagic substrates and to enlighten substrate recognition by BIRC6.
Keywords:
structural biology; cryo-EM; x-ray crystallography; autophagy; apoptosis; inhibitor of apoptosis proteins; AlphaFold2; ATG8; ubiquitin; E3 ligase
Available in the Digital Repository of University of South Bohemia.
Structural and functional characterization of the E3 ligase BIRC6
The aim of the thesis was to characterize the ubiquitin ligase BIRC6 in several contexts. The goal was to expand the knowledge on the selectivity of E1-E2 recognition, to increase the known substrate ...
Carbohydrates drive growth and longevity tradeoff strategies of plants in the Western United States
SAMRAOUI, Kenz Raouf
2023 - English
This study explores the relationship between non-structural carbohydrates (NSCs), growth, and longevity in over 200 vascular plant species across diverse Western U.S. habitats. The research identifies specific roles for NSC compoundsfructans enhance longevity, while simple sugars support rapid growth at the expense of longevity. By elucidating the roles of individual NSC compounds and their relationship with growth and longevity, we are contributing to a deeper understanding of plant adaptation and survival strategies. This study explores the relationship between non-structural carbohydrates (NSCs), growth, and longevity in over 200 vascular plant species across diverse Western U.S. habitats. The research identifies specific roles for NSC compoundsfructans enhance longevity, while simple sugars support rapid growth at the expense of longevity. By elucidating the roles of individual NSC compounds and their relationship with growth and longevity, we are contributing to a deeper understanding of plant adaptation and survival strategies.
Keywords:
Carbon allocation strategies; Environmental adaptation; Non-structural carbohydrates (NSCs); Plant growth dynamics; United States of America.
Available in the Digital Repository of University of South Bohemia.
Carbohydrates drive growth and longevity tradeoff strategies of plants in the Western United States
This study explores the relationship between non-structural carbohydrates (NSCs), growth, and longevity in over 200 vascular plant species across diverse Western U.S. habitats. The research identifies ...
Association between personality traits and cognitive abilities in jumping spiders
PROSKURIAKOVA, Kseniia
2023 - English
I measured two personality traits in jumping spiders Phidippus regius, boldness and explorativeness, to identify the presence of these traits and their repeatability. Also I analysed the correlation between explorativeness and boldness, and the correlation between these traits and learning abilities of Salticidae spiders. I measured two personality traits in jumping spiders Phidippus regius, boldness and explorativeness, to identify the presence of these traits and their repeatability. Also I analysed the correlation between explorativeness and boldness, and the correlation between these traits and learning abilities of Salticidae spiders.
Keywords:
Jumping spiders; Phidippus regius; Salticidae Personality traits; Boldness; Exploration latency; Repeatability; Learning abilities
Available in the Digital Repository of University of South Bohemia.
Association between personality traits and cognitive abilities in jumping spiders
I measured two personality traits in jumping spiders Phidippus regius, boldness and explorativeness, to identify the presence of these traits and their repeatability. Also I analysed the correlation ...
NRGL provides central access to information on grey literature produced in the Czech Republic in the fields of science, research and education. You can find more information about grey literature and NRGL at service web
Send your suggestions and comments to nusl@techlib.cz
Provider
Other bases