TY - THES A1 - Yankouski, Matsvei T1 - Simulation of Satellite Flares and their Impact on Ground-Based Observations N2 - With a growing number of satellites on Low Earth Orbit (LEO) the problem of light pollution arises, which is caused by the light reflected from satellite modules and directed to the ground-based observatories. This phenomenon is called satellite “flares” or “glints”. The goal of this work is to create a physical simulation model, which can recreate the conditions when the satellite flare is visible. The model is made in Python and uses a simplified geometry of reflection, orbit, solar panel parameters, and real-time TLE data. With the developed model it is possible to evaluate a variety of scenarios: single satellite, constellation and global maps of flare distribution with the given parameters. The simulation model allows for analysing the distribution of flares of time and space and checking the effectiveness of technical and legal norms. In the flow of the work numerical simulations are performed, heat maps are created, analysis and comparison with real data are made. The obtained results demonstrate the potential of this model as an instrument for planning and scheduling observations, developing less bright satellites and creating policy measures to decrease light pollution of the night sky. The results of this thesis are fundamental for expanding the model and integrating real data of all satellites. KW - Satellite flares KW - Light pollution KW - Astronomical observations KW - Satellite simulation KW - Satellite constellation KW - Specular reflection KW - Python modelling KW - Observation impact. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-22166 ER - TY - THES A1 - Hülshoff, Kristina T1 - Visualisierung klimafreundlicher Baumaßnahmen am Beispiel der Stadt Xanten N2 - Due to anthropogenic climate change, cities need to be restructured. New measures are necessary to achieve climate neutral cities. With the assistance of 3D Programs, concepts against flooding, heat and in favor of mobility transition can be visualized. This thesis will emphasize why it is so relevant to take actions against climate change and will investigate which measures are helpful, especially in cities. In connection, the ideation of measures for the City of Xanten will be presented. Subsequently, the process of chosen Design Style and concepts for various Xanten locations will be explained and displayed. These elaborated concepts can be seen as a thought provoking impulse for at least Xanten, which may be realized in the future. KW - 3D Visualisierung KW - Klimawandel KW - Stadtplanung KW - Xanten Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-18847 ER - TY - THES A1 - Keiffenheim, Jan T1 - Die Produktion von Audiodateien und deren Einbindung in Videospiele N2 - In this paper the production of audio file will be shown with examples, and how these can be put exemplarily into a video game. For this purpose different types of programs will be presented which can produce audio file. To show a small expenditure, affordable or free programs will be used for this paper. After that the paper shows how to exemplarily record and edit music, sound and voice. Finally a game engine will be used to demonstrate the inset and programming of the created audio files. This paper is especially for newcomers (and students) to introduce them to audio and sound design. With the practical instructions in this paper they can start to produce audio files by their own. N2 - In dieser Bachelorarbeit wird anhand von Beispielen die Produktion von Audiodateien gezeigt, und wie diese beispielhaft in ein Videospiel eingefügt werden können. Hierzu werden zunächst die verschiedenen Programmtypen präsentiert, mit denen Audiodateien produziert werden können. Um einen möglichst geringen Kostenaufwand zu zeigen, werden Programme benutzt, die kostenlos oder kostengünstig erworben werden können. Danach wird an Beispielen gezeigt, wie mit den ausgewählten Programmen Stimmen, Geräusche und Musik aufgenommen und bearbeitet werden können. Abschließend wird an einer Spiele-Engine vorgeführt, wie die erstellten Audiodateien ins Spiel eingefügt und einprogrammiert werden. Durch diese Bachelorarbeit sollen vor allem Neueinsteiger (und Studenten) an Audio und Sound Design herangeführt werden, sodass sie mit den praktischen Unterweisungen in dieser Arbeit selbst Audiodateien produzieren können. KW - Audiobearbeitung KW - Kostengünstige Mittel & einfache Methoden KW - Audio Programmierung KW - Musik KW - Geräusche KW - Stimme Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-3494 ER - TY - THES A1 - Prüm, Moritz T1 - Automated Hyperspectral Field Scanner for Vegetation Monitoring N2 - Vegetation monitoring is an important tool in a variety of fields, e.g. precision agriculture and plants’ phenotyping. The system design of existing non-invasive ground based systems is usually not open-source. Therefore, these systems cannot be reliably modified and thus are not suitable to advanced applications, such as prototyping of new sensors. This thesis describes the development of a ground based hyperspectral monitoring system for use in plant science and sensor testing. A well-documented and automated working prototype has been developed and initial tests show promising results. Further work in system modularity and redundancy is needed. KW - Embedded systems KW - Hyperspectral imaging KW - Low-power design KW - System integration KW - Vegetation monitoring Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-2247 ER - TY - THES A1 - Schlossarek, Nina Tangyue T1 - FinTechs in Germany - Current Status and Potential Impact on the Financial System N2 - The development of technologies that created FinTechs have brought new possibilities for customers into life that provide a quick and convenient handling of operations by covering various segments of the financial industry. However, the innovations also implicate drawbacks: Traditional banks may be threatened due to a loss of customers. This thesis evaluates to which extent this case can be measured by executing quantitative research methods as well as qualitative research methods for the purpose of gaining information from a bank’s perspective as well as opinions from customers. The result of this empirical study is that there is a certain correlation between the development of FinTechs and a threat caused by FinTechs although the latter is rather weak. Furthermore, this thesis indicates the knowledge of customers regarding FinTechs and their willingness to face said innovations. KW - FinTech Y1 - 2018 ER - TY - THES A1 - Langer, Sven T1 - Influence of Cryptocurrencies on the Economy: A Potential-Analysis of Bitcoin as an Alternative Currency N2 - “Right now, Bitcoin feels like the Internet before the browser” (Casares, 2020). This quote sums up most of the current thoughts on the phenomenon of a ground-breaking invention from 2008 by Satoshi Nakamoto since a major part of the world’s population is still missing out on sophisticated knowledge about it. Especially in times of digitalization, it is of enormous value to be informed about current developments in technology. This thesis aims to evaluate the future development of money, especially if Bitcoin has the potential to totally replace conventional currencies. Furthermore, the strengths and shortcomings of Bitcoin will be discussed. It also reaches to determine characteristics for a currency’s long-term success and which of those characteristics are fulfilled by Bitcoin. To answer the research question if Bitcoin has the potential to be an alternative currency and to test the developed hypotheses, pertinent literature is reviewed and an empirical study consisting of expert interviews which are examined using a qualitative structured content analysis method, are conducted. Afterwards, the results are critically discussed. The results of this thesis reveal that Bitcoin has the potential to become an alternative currency because it fulfills most of the criteria a currency needs to meet to be successful in the long run. Furthermore, it is evident that Bitcoin still faces vast barriers and needs to overcome enormous obstacles, which shifts the time horizon for becoming a success somewhere in the farther future. Additionally, apart from the development of cryptocurrencies, it is shown that money in general, will flow much more digitally in the short run. Besides that, this thesis offers insights about the promising future of Bitcoin’s underlying core technology, the Blockchain, in various fields of application. KW - Finance KW - Currency KW - Cryptocurrency KW - Bitcoin KW - Blockchain Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-6909 ER - TY - THES A1 - Krawczyk, Adrian T1 - Linux-Simulation als implizites Lernszenario N2 - Linux is an operating system, which is used by a limited number of people. The main idea of this project is to develop a game that not only simulates Linux, but also provides an opportunity to learn various things about the use of this operating system. The game, LinuxSimulationGame, is built with Unity and designed by following the requirements of a focus group. While in development, game tests are used to investigate the current state and quality of the game. Game tests provide feedback to the developer, which can be used to plan further changes. By using mechanics like space, objects, actions, rules and skills the game produces various situations in which a user is able to learn. By memorizing information based on a Linux operating system. Both game tests and interviews have proved an interest in this kind of gameplay. LinuxSimulationGame is a game which could result in an increase of knowledge. This would require further testing. This document describes mechanics and data needed for creation of games like LinuxSimulationGame. KW - Linux KW - Spieleentwicklung KW - Lernen KW - Videospiele KW - Lernszenario Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-8122 ER - TY - THES A1 - Krishnamoorthy, Harriha T1 - Künstliche Intelligenz und nachhaltiger Fast Fashion im E-Commerce - Machbarkeitsanalyse und qualitative Analyse zur kognitiven Dissonanz der Konsumenten N2 - This thesis deals with the consumer purchasing behavior in the fast fashion segment. The central focus includes analyzing factors such as purchase intention, e-commerce trade, consequences and environmental impacts. The first section defines terms and compares current studies to each other. This is followed by a methodical discussion. In order to assess consumer purchasing behavior, semi-structured interviews were conducted, and digital diary entries were written by participants from generation Y and Z. Based on these results shopper types were identified. KW - Fast Fashion KW - Consumption KW - E-commerce KW - Generation Y and Z KW - Environment Y1 - 2023 ER - TY - THES A1 - Oha, Kingsley T1 - ADVANCEMENTS IN MICROSERVICE ARCHITECTURES: TACKLING DATA COMMUNICATION, SCALABILITY, AND CI/CD AUTOMATION CHALLENGES N2 - This paper delves into the optimization of microservice architectures, a critical aspect of contemporary software engineering, by focusing on three pivotal areas: efficient data communication, scalable design, and the automation of Continuous Integration/Continuous Deployment (CI/CD) processes. The study begins by examining the intricacies of data communication within microservices, identifying challenges such as network latency, data consistency, and fault tolerance. Strategies for efficient data handling, including advanced message queuing techniques and API gateways, are explored. The paper then shifts its focus to scalable design, assessing how microservices can be architected to gracefully handle varying loads and facilitate seamless scaling. This includes an analysis of containerization technologies, service orchestration, and load balancing strategies. The final part of the study addresses the automation of CI/CD processes, a cornerstone for achieving agility and high velocity in microservices development and deployment. The evaluation of modern CI/CD tools and methodologies, highlighting their role in enhancing deployment frequency, reducing lead time for changes, and improving overall system reliability. This comprehensive study aims to provide valuable insights and practical guidelines for software professionals and researchers, contributing to the refinement and advancement of microservice architectures in the dynamic world of software development. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-20463 ER - TY - THES A1 - Helou, Ziad T1 - Opportunities and challenges for the solar industry in Lebanon. N2 - Lebanon faces a significant energy crisis characterized by unreliable electricity supply, political instability, and outdated infrastructure. This thesis explores the potential of solar energy as a sustainable solution to address these challenges, focusing on economic, technical, and regulatory barriers while drawing comparative insights from Cyprus’s renewable energy model. The research examines three primary questions regarding the economic and technical challenges hindering solar energy adoption in Lebanon, the lessons that can be learned from Cyprus to inform solutions, and the comprehensive strategies that can support the development of Lebanon’s solar energy sector. The findings reveal that while Lebanon has experienced rapid growth in solar energy adoption, the sector is undermined by systemic issues such as low-quality imports, skill gaps, insufficient grid infrastructure, and the dominance of diesel generators. Comparative analysis with Cyprus underscores the importance of robust regulatory frameworks, financial accessibility, public-private partnerships, and accreditation systems for solar installers. Additionally, the analysis highlights the critical role of improving capacity factors in Lebanon, with findings showing that even a 1% increase could supply power to over 16,000 homes, emphasizing the potential efficiency gains for Lebanon’s solar energy sector. The thesis also evaluates Lebanon’s progress toward its 2030 renewable energy targets, noting that while the country appears to have met these targets in percentage terms, the achievement is largely a result of reduced electricity generation rather than genuine renewable capacity growth. Recommendations include enforcing quality standards, establishing national accreditation systems, addressing corruption, and leveraging international funding for infrastructure modernization and workforce development. This research emphasizes that Lebanon’s transition to renewable energy is not only a technical and economic endeavor but also a pathway to greater energy independence and environmental sustainability. KW - Solar energy KW - Renewable energy KW - Capacity factor KW - Grid modernization KW - Energy policy KW - Lebanon energy crisis KW - Solar photovoltaics KW - Energy transition KW - Distributed energy systems KW - Solar market regulation KW - Energy storage KW - Microgrid integration KW - Power grid stability KW - Reverse current flow KW - Islanding effect KW - Net metering KW - Sustainable development KW - Public-private partnerships KW - Solar waste management KW - Energy infrastructure Y1 - 2025 ER - TY - THES A1 - Fopa Mamene, Morelle T1 - Secure Access Service Edge (SASE): Architecture, Implementation, and Performance Evaluation N2 - In today’s digitally evolving world, companies are faced with modern problems like data breaches, ensuring seamless and secured access to their cloud-based assets, and the decongestion of routed traffic to their data centres which are all problems related to the ongoing digital evolution. This thesis examines the topic of Secure Access Service Edge (SASE), which is a zero-trust framework combining cutting-edge network security technologies with software-defined connectivity, and evaluates the effectiveness of its core components, such as Software Defined Wide Area Network (SD-WAN), Zero Trust Network Access (ZTNA), Cloud Access Security Broker (CASB), Secure Web Gateway (SWG), and Firewall as a Service (FWaaS), in creating a secure, fast, and reliable corporate network infrastructure. The conclusions obtained in this document are a result of analysing the network architecture of Uniper, a global company in the energy sector which produces and delivers energy, and recently shifted its resources to the cloud by adopting SASE. The outcome of the analysis revealed that, SASE indeed enhances users’ experience and provides several benefits to the company’s network connectivity like reduced latency, connections redundancy, and improved bandwidth. Going through this document will help understand how SASE components can work to provide a revolutionary solution to companies through a proposed implementation roadmap, and how SASE compares to traditional network security models like Virtual Private Network (VPN) and Multiprotocol Label Switching (MPLS). Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-20700 ER - TY - THES A1 - Kottek, Nick T1 - Echtzeit-Erkennung von Gesten des deutschen Fingeralphabets mithilfe eines Convolutional Neural Networks N2 - Sign language is an important factor in the integration of deaf and hard of hearing people into society. Due to the limited number of people who speak sign language, there is a communication barrier that needs to be addressed. In recent years, sign language has been an important field of research. There have been numerous attempts at trying to find a solution to this problem. This thesis focuses on the German finger alphabet, which has not been researched as much. It examines whether it is possible to recognize the gestures of the German finger alphabet in real time with a convolutional neural network. For that, literature is consulted, and a prototype is developed. The prototype includes a newly created dataset with 2,500 images distributed over 25 gestures, a convolutional neural network, and software for real-time translation of a video stream. The prototype demonstrates the feasibility of realizing such a task. The convolutional neural network achieves an accuracy of 99.61%. On a powerful desktop computer, the prediction of a single frame takes between 36 and 40 ms. However, there are some limitations and restrictions to the quality of prediction caused by factors such as lighting and background. Additionally, certain similar gestures, such as M and N, are difficult to distinguish. Based on these results, ideas and suggestions for future studies are presented. KW - convolutional neural network KW - sign language KW - German finger alphabet KW - image classification KW - real-time recognition Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-19768 ER - TY - THES A1 - Nacke, Marius T1 - Künstliche Intelligenz zur Vorhersage von Kreditentscheidungen N2 - Seit der Verschärfung der Kreditrichtlinien im Jahr 2022 ist es zunehmend schwieriger geworden, einen Kredit in Deutschland und im europäischen Raum zu erhalten. Das Interesse an Krediten ist zuletzt ungeachtet dieser Erschwernisse angestiegen. Vergleichs- und Vermittlungsportale für Kredite können potenziellen Darlehensnehmern aktuell nur in begrenztem Maße dabei unterstützen, eine genehmigte Kreditanfrage zu erhalten. Die Vorhersage der Kreditentscheidungen von Banken kann als Basis für weitere Methoden fungieren, die Kreditnehmern helfen können, die Wahrscheinlichkeit einer Genehmigung zu erhöhen. In der vorliegenden Arbeit wird daher untersucht, welche Verfahren des Machine-Learning am ehesten für die Vorhersage von Kreditentscheidungen geeignet sind. Dazu werden die Daten der Yareto GmbH, eines Vergleichs- und Vermittlungsportals für Fahrzeugkredite, für das Training sowohl eines Logistischen-Regressions- und XGBoost-Modells als auch eines Multilayer-Perceptrons verwendet. Das XGBoost-Modell erreicht dabei die höchste Accuracy und Precision mit 73,6\% bzw. 76,1\% bei einer Trainingszeit von lediglich 55 Minuten. Das Multilayer Perceptron kann eine ähnlich hohe Accuracy erreichen, bedarf allerdings mehr als zehn Stunden für das Training. Demnach ist XGBoost am ehesten von den drei untersuchten Verfahren zur Vorhersage von Kreditentscheidungen geeignet. KW - Kreditvergleichsportale KW - Prognosen KW - Künstliche Intelligenz KW - Ensemble-Modelle KW - Kreditentscheidungen Y1 - 2024 ER - TY - THES A1 - Grigo, Tobias T1 - Das Homeoffice in der Verwaltung – Eine Zwischenbilanz und Erfahrungsberichte zu Best Practices, Weiterentwicklung und Herausforderungen N2 - The home office has become established in the offices of numerous companies and administrations since the events of the global COVID-19 pandemic and has posed numerous challenges. Particularly in Germany, administrative authorities were confronted with the challenge of quickly responding to the events of the pandemic and taking appropriate measures to curb the spread of the virus in the offices of administrations. This paper examines the use of the home office in administration during the pandemic by combining quantitative and qualitative methods such as statistical analyses, interviews, and case studies. In doing so, it sheds light on the experiences of employees as well as the challenges and potentials of home office use. The context aims to demonstrate that the investigation of home office use in administration during the pandemic was crucial in understanding the effects of the newly designed work practices on administrative organizations to better shape future work models. The aim of this study is to gain insights that contribute to the further development of the home office concept in administration. This includes evaluating the long-term effects on work efficiency, work-life balance, and corporate culture. These insights contribute to assessing the effectiveness and efficiency of the home office in administration and lay the groundwork for how optimized work arrangements can be created. They also provide valuable insight into the adaptability of administrative structures to continuously changing work environments. The results of this study will help develop practical solutions and optimize the implementation of the home office in administration. The findings lay new foundations for future research that could address further aspects of home office use in administration, such as long-term effects on organizational performance and employee satisfaction, as well as the development of guidelines for effective implementation of hybrid work models. KW - Homeoffice KW - Administration KW - COVID-19 pandemic KW - Work practices KW - Efficiency Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-20272 ER - TY - THES A1 - Boulmane, Aya T1 - Development of a Web-Based Tool for Estimating Lifecycle CO₂ Emissions of Electric vs. Diesel Vehicles in Germany N2 - Due to rapid technological development, the transport sector has emerged as one of the most difficult areas to reduce decarbonization, balancing its high global greenhouse gas emissions. In Germany, the shift from internal combustion engine vehicles (ICEVs) to electric vehicles (EVs) has become a key focus of national and EU climate policies. Nevertheless, the transition to EVs is associated with a multitude of factors that need to be considered, including emissions from manufacturing, the energy used during operations, and post-operational treatment. This thesis focuses on the design, development, and refinement of a web-based CO₂ Lifecycle Emission Calculation tool that compares cradle-to-grave emissions of EVs and diesel ICEVs based on different driving scenarios in Germany. It is based on Life Cycle Assessment (LCA) Methodology as indicated in ISO 14040/14044. With the tool, the manufacturing, operational, and end-of-life emissions are estimated based on validated datasets from peer-reviewed literature and authoritative bodies (IPCC, IEA, UBA). The tool’s modular structure, which was developed in Python with the Streamlit framework, also allows for other languages to be added, selection of the region’s grid mix, scenario comparisons, and results visualization in multi-level dashboards. Findings of the literature review show that the tool is accurate for both types of vehicles as the known lifecycle emissions ranges for both types are captured. Carbon payback periods for EVs ranged from less than three years to over eight years depending on the grid context, from renewable-rich to coal-intensive. Sensitivity analysis demonstrates that both grid CO₂ intensity and annual mileage hold the greatest influence over lifecycle results. This research contributes to sustainability as it fills the void that exists between academic LCA models and consumer-facing applications with a transparent, reproducible, and user-configurable decision-support tool. Improvements can be made by incorporating real-time grid emission data, expanding the vehicle datasets, and including additional CO₂ environmental impact categories. Y1 - 2025 ER - TY - THES A1 - Okos, Martin T1 - Ethische und rechtliche Rahmenbedingungen des Maschinellen Lernens - eine systematische Analyse zur Konzeptualisierung und Regulation innerhalb der EU N2 - Die Entwicklungen des maschinellen Lernens und damit einhergehend auch der künstlichen Intelligenz umfassen immer mehr Anwendungsfälle im täglichen Leben. Je komplexer und autonomer diese Systeme werden, desto schwieriger lässt sich ihr Verhalten prognostizieren und es ist nicht auszuschließen, dass Situationen entstehen, die ethische und rechtliche Fragen aufwerfen. Das Ziel dieser Arbeit ist die Untersuchung der erforderlichen Rahmenbedingungen für den Umgang mit diesen Technologien. Neben der Erklärung wesentlicher Begriffe aus dem Bereich der KI und Ethik werden durch die Recherche geeigneter Literatur über Pflegeroboter und dem autonomen Fahren zwei Anwendungsbereiche vorgestellt, die einen Bedarf an moralischen Maschinen aufweisen. Maßnahmen zur Regulierung innerhalb der Europäischen Union erfolgen durch das Anwenden bestehender und Erlassen neuer Gesetze sowie über die Definition ethischer Leitlinien, die ebenfalls als Teil der vorliegenden Arbeit behandelt werden. N2 - Developments in machine learning along with artificial intelligence are encompassing increasingly more use cases in everyday life. The more complex and autonomous these systems become, the harder it is to predict their behaviour, and it cannot be ruled out that situations emerge where ethical and legal questions arise. This thesis aims to investigate the necessary framework conditions for dealing with these technologies. In addition to explaining essential terminology from the domain of AI and ethics, two application areas that show a need for moral machines are presented by referencing contemporary literature on care robots and autonomous driving. The European Union provides regulatory measures by applying existing laws and enacting new ones, as well as by defining ethical guidelines, which are also addressed as part of this thesis. KW - Maschinelles Lernen KW - Künstliche Intelligenz KW - Ethik KW - Pflegeroboter KW - Autonomes Fahren Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-15170 ER - TY - THES A1 - Salobir, Jan T1 - Relaunch eines Kommunalen Webauftritts beim KRZN N2 - In der Arbeit wird der Prozess des Relaunches eines kommunalen Webauftritts Schritt für Schritt analysiert und besonders darauf geachtet, wie die gesetzlichen Anforderungen für so einen Webauftritt umgesetzt werden. KW - E-Government KW - Onlinezugangsgesetz KW - Webauftritt KW - Verwaltungsinformatik KW - Verwaltungsdigitalisierung Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-15214 ER - TY - THES A1 - Ponten, Marvin T1 - Visualisierung von Kulturgütern am Beispiel der römischen Kaiserthermen in Trier als 3D Modell. N2 - This paper is a summary of the “Kaiserthermen Project'' for the “Landesmuseum Trier” and shows in detail how to convert a 3Ds Max 3D model for usage into an open source program like Blender. It tries to explain the basics of 3D modelling and compares it to the 3D modelling of cultural heritages. It should work as a form of manual to further convert different models into the FBX file format. It also aims to explain the high value of cultural heritage as a 3D model and compares it to the 3D model of the “Trier Kaiserthermen”. It furthermore gives examples and reasons for the usage of 3D models in different fields. It also presents the final 3D renderings and shows how they were created. At the end it explains how the perfect model for scientific research should be and how this project and paper improved this for the “Kaiserthermen”. KW - 3D Model KW - Cultural Heritage KW - Converting to FBX KW - 3D Render Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-15889 ER - TY - THES A1 - Scheil, Jonathan T1 - Analyse der aktuellen und vergangenen politischen Landschaft Deutschlands im Hinblick auf die aktuelle Bundestagswahl mit Fokus auf die ansteigende Bedeutung von Social-Media im Wahlkampf N2 - Since the last federal election in germany, the CDU is no longer the strongest force and suffered large losses of votes. The SPD, Bündnis 90/Die Grünen and the FDP now make up the german parliament. Parts of the election campaign are taking place via social media. But how do the individual parties use modern media? Do the parties differ in the way they communicate their messages and, as a result, do they generate votes in diffe-rent ways? I will examine these questions in more detail in this bachelor's thesis, starting with the reunification of germany and including the last federal elections. The social me-dia platform I am investigating for political communication is twitter. I presented the past and current parliamentary election results and differences in eastern and western germany. To do this, I used sentiment analysis to examine tweets extracted from twitter at the federal and local/state political level, for their content and the accom-panying reactions. I created a detailed representation of the different social media appearances of politicians and determined whether appropriate conclusions can be drawn based on my results and data. My analysis shows that at the parliamentary level, Annalena Baerbock of Bündnis 90/Die Grünen, followed by Dr. Alice Weidel of the AfD and Christian Lindner of the FDP, have the most likes and retweets. Olaf Scholz, with 826 tweets, is the most active on twitter in 2021. At federal and local/state level, the topics of all parties are often similar. There are differences with regard to the core issues of the respective parties. I have illustrated this in each case. Based on the politicians' use of twitter, I could not draw any concrete conclusions about voter behaviour. For this it would be important to evaluate other media, e.g. facebook. KW - Sentiment-analyse KW - Politik KW - Bundestagswahl KW - Ost-/Westdeutschland KW - Social Media Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-13687 ER - TY - THES A1 - Vela, Gianfranco T1 - Anwendbarkeit des Gamification Frameworks Octalysis auf Multibankingapps N2 - Ziel der vorliegenden Abschlussarbeit war es, ausgewählte Multibankingapps anhand des von Yu-Kai Chou entworfenen Gamification Frameworks Octalysis (Y.-k. Chou, 2019) zu analysie- ren, um daraufhin eine Aussage über die Anwendbarkeit des Frameworks auf Multibankingapps treffen zu können. Mithilfe des Design Pattern Canvas (Žavcer u. a., 2015) wurde ein Arte- fakt geschaffen, welches Entwicklern solcher Apps erlaubt, die im Framework beschriebenen Core Drives auf die Anwendung abzustimmen. Die Anwendbarkeit des Frameworks wurde zwar durch die Analyse bestätigt, jedoch ergaben sich weitere Abhängigkeiten, welche grundlegend für eine erfolgreiche Anwendung sind. Darunter zählt beispielsweise die Offenheit der Nutzer gegenüber Finanzthemen. Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-11349 ER - TY - THES A1 - Westermann, Beke T1 - Kryptowährung als Alternative zu herkömmlichem Geld – Aus ökologischer Sicht N2 - Seit 2009 das erste Mal der Bitcoin als Open-Source-Software veröffentlicht wurde, sind neue Kryptowährungen stetig dazu gekommen und weiterentwickelt worden. Einige Jahre später folgten Währungen wie Litecoin, Ripple und Ethereum. Inzwischen sind Kryptowährungen im Großteil der Welt legal und gelten in einigen Ländern bereits als offizielles Zahlungsmittel. Betrachtet man die weitere Entwicklung, stellt sich die Frage, ob Kryptowährungen eine funktionierende Alternative zu herkömmlichen Währungen bieten können, und ob diese unter aktuellen ökologischen Bedingungen tragbar wäre. Ziel ist es, die Frage zu beantworten, welche Kriterien Kryptowährungen erfüllen müssten, um weiterhin einen hohen Stellenwert einzunehmen. Es wird eine Literaturrecherche durchgeführt, welche die Funktionsweise und Problematik verschiedener Mining-Konzepte erklärt, und ökologische Daten analysiert. Dabei zeigt sich, dass es Ansätze zu ökologischen Kryptowährungen gibt, die noch in der Entwicklung sind. Kryptowährungen, die diese Aspekte nicht berücksichtigen, werden langfristig als Alternative ökologisch nicht tragbar sein. KW - Kryptowährung KW - Bargeld KW - Ökologie KW - Ökologischer Vergleich Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-16758 ER - TY - THES A1 - Pramanik, Lukas T1 - Digitale Selbstwirksamkeit als Schlüssel zur Arbeitszufriedenheit im demographischen Wandel. Der Mediierende Effekt digitaler Selbstwirksamkeit auf die Beziehung zwischen Alter und Arbeitszufriedenheit. N2 - Die kontinuierliche Digitalisierung der Arbeitswelt führt zu immer schnelllebigeren und komplexeren Arbeitsumfeldern, welche auf der effektiven Nutzung von Informations- und Kommunikationstechnologien (IKT) beruhen. Arbeitsfelder transformieren und verdichten sich mit rasanter Geschwindigkeit. Parallel steigt das durchschnittliche Alter der arbeitnehmenden Population und die Arbeitszufriedenheit sinkt. Besonders betroffen sind Erwachsene gehobenen Alters. Da die Arbeitszufriedenheit als starker Prädiktor für die physische- und psychische Gesundheit der Arbeitnehmenden wirkt, ist es notwendig zu verstehen, welche Konstrukte auf die Arbeitszufriedenheit wirken. Die vorliegende Studie betrachtet daher die mediierende Wirkung der digitalen Selbstwirksamkeit auf die Beziehung zwischen Alter und Arbeitszufriedenheit. Es wurde eine online-Befragung mit 124 Arbeitnehmenden im Alter von 17-63 Jahren durchgeführt. Es wurde erwartet, dass steigendes Alter in einer negativen Beziehung zu Arbeitszufriedenheit und digitaler Selbstwirksamkeit steht. Zusätzlich wurde angenommen, dass digitale Selbstwirksamkeit positiv auf Arbeitszufriedenheit wirkt. Es wurde eine indirekte Mediation, mit einer negativen Wirkung von Alter auf Digitale Selbstwirksamkeit und einer positiven Wirkung von digitaler Selbstwirksamkeit auf Arbeitszufriedenheit identifiziert. Die Wirkung der Geschlechtsidentifikation als Störvariable konnte ausgeschlossen werden. Praktische und theoretische Implikationen werden diskutiert. KW - Digitale Selbstwirksamkeit KW - Digitalisierung KW - Demographie Wandel KW - Arbeitszufriedenheit Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-17339 ER - TY - THES A1 - Akmal, Ali T1 - Development and control of G32 smart gas burner system N2 - Household appliances such as ovens and washing machines are essential in every household, to make it safe for potential users, the machine must be tested under extreme conditions to prove that even in case of malfunction no danger is posed, such tests are carried out after successfully building a system that is stable in essence. This research aims to develop a smart gas burning system built on reliable and secure communication channels bounded with the implemented protocol specifications. A close study of each protocol specifications as well as a bit-by-bit investigation is therefore performed, moreover, a full timing analysis of communicated data is also carried out to ensure validity and integrity of the data transmitted. It was found that logic analysis plays a very important role in constructing data frames that are accurate to the smallest time unit possible, such analysis was not possible using an old model oscilloscope, after successful construction, transmitting a predefined sequence of data successfully initiated the communication channel between all system components. With the implemented safety and security features, the system is safe to use, however, this does not make it ready for end users, this is merely a proof of concept that such system can be made smart. The results show that the microcontroller module implemented is very capable of giving the user the ability to control the system manually with attached knobs and wirelessly through the Access point server. Y1 - 2023 ER - TY - THES A1 - Gooren, Lutz T1 - Künstliche Intelligenz in einer Geodateninfrastruktur N2 - Künstliche Intelligenz in Form von neuronalen Netzen wird in der öffentlichen Verwaltung bislang wenig eingesetzt. Im Zuge der Digitalisierung im Bereich der öffentlichen Verwaltung müssen bestehende Datensätze, welche nicht- oder schwer maschinenlesbar sind, über offene Schnittstellen und Datenstandards bereitgestellt werden. Schätzungsweise 80 % der erfassten Daten sind in der öffentlichen Verwaltung nicht- oder schwer maschinenlesbar. In dieser Arbeit soll geprüft werden, ob ein künstliches neuronales Netz, welches auf der ImageNet Datenbank basiert und durch weitere Beispiele trainiert worden ist, bestehende (nicht-maschinenlesbare) Datensätze in Tabellenform aus dem Bereich der Geoinformatik erkennen und in einer passenden Datei mit offenem Datenstandard (teil-)automatisiert speichern kann, um diese für den Einsatz in einer offenen urbanen Datenplattform vorzubereiten. Zudem werden Optimierungsvorschläge für eine Verbesserung des neuronalen Netzes genannt und umgesetzt. Im Laufe der Arbeit ergibt sich, dass das trainierte Modell für den praktischen Einsatz nicht ausreichend genau funktioniert, aber eine gute Basis für weitere Optimierungen liefert, etwa durch eine Vergrößerung des Trainingsdatensatzes, welche die Anforderung einer Steigerung der Rechenleistung voraussetzt. KW - Geodateninfrastruktur KW - Digitalisierung KW - Künstliche Intelligenz KW - Computer Vision KW - Tabellenerkennung Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-17005 ER - TY - THES A1 - Süyrüge, Eyüp T1 - Vergleich von FPGA und Mikrocontroller für die Echtzeitverarbeitung von Audiosignalen zur Richtungserkennung mittels FFT und TDOA einschließlich LED-basierter Visualisierung N2 - Das Ziel dieser Arbeit ist es, ein praxisnahes System zur Echtzeitverarbeitung von Audiosignalen mit dem Fokus auf der Richtungsbestimmung von Schallquellen zu entwickeln. Als Hardwareplattformen werden dafür ein Field Programmable Gate Array (FPGA) und ein Mikrocontroller (MCU) eingesetzt. Dabei konzentriert sich die Arbeit auf die Untersuchung der beiden Plattformen, wobei die Leistungsfähigkeit, Genauigkeit und Ressourceneffizienz verglichen werden. Zu diesem Zweck werden Algorithmen der Signalverarbeitung, besonders die Fast Fourier Transform (FFT) und die Time Difference of Arrival (TDOA), implementiert und ausgewertet. KW - FPGA KW - Mikrocontroller KW - Echtzeitverarbeitung KW - Audiosignale KW - FFT KW - TDOA Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23229 ER - TY - THES A1 - Müsch, Yannick T1 - Kolmogorov-Arnold-Transformer: Untersuchung hybrider KAN-Transformer-Architekturen im Hinblick auf Skalierung, Effizienz und Interpretierbarkeit N2 - Transformers have become the de-facto standard architecture in Machine Learning, particularly in Natural Language Processing. However, they are computationally expensive to train, with approximately two-thirds of non-embedding parameters residing in Multi-Layer Perceptrons (MLPs). Liu et al. (2024) revisited the long-disregarded Kolmogorov-Arnold representation theorem and demonstrated promising results in specific domains such as symbolic regression and PDE solving. Whether Kolmogorov-Arnold Networks (KANs) generalize to other domains, particularly NLP, remains an open research question. This work systematically evaluates five architecture configurations: MLP baseline, MLP with B-Spline activation, KAN with B-Spline, KAN with Mean aggregation, and Group-Rational KAN (GR-KAN) - across three model sizes (15M, 41M, 124M parameters). Experiments are conducted on text classification (“AG News”) and language modeling (“FineWeb”) tasks. Identical components (attention, embeddings) isolate performance differences to the feed-forward topology. Statistical validity is ensured through multiple random seeds and parameter-matched comparisons. KAN-based architectures achieve performance parity with MLPs on classification tasks (±0.5 percentage points accuracy). However, they consistently underperform on language modeling, with perplexity increases of +7 to +28 points. Training efficiency overhead ranges from 1.5–2.0× for KANs, while GR-KAN approaches baseline speed. Notably, KANs exhibit significantly higher sparsity (≈ 90% vs. ≈ 40%), enabling compression factors of 1.4–1.6× with minimal performance degradation. The MLP+B-Spline control condition reveals that performance deficits stem from KAN topology rather than activation functions. KANs present a viable alternative for discriminative NLP tasks but do not outperform MLPs for generative language modeling. The postulated interpretability advantage through learnable activation functions could not be empirically confirmed - learned functions degenerate to quasi-linear transformations. Future research should explore alternative basis functions and selective hybridization strategies. KW - Kolmogorov-Arnold Networks KW - Transformer KW - hybrid architectures KW - naturallanguage processing KW - language modeling KW - interpretability KW - scaling KW - sparsity KW - B-splines Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23376 ER -