@masterthesis{Yankouski2025, type = {Bachelor Thesis}, author = {Yankouski, Matsvei}, title = {Simulation of Satellite Flares and their Impact on Ground-Based Observations}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-22166}, school = {Hochschule Rhein-Waal}, pages = {62}, year = {2025}, abstract = {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.}, language = {en} } @masterthesis{Huelshoff, type = {Bachelor Thesis}, author = {H{\"u}lshoff, Kristina}, title = {Visualisierung klimafreundlicher Baumaßnahmen am Beispiel der Stadt Xanten}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-18847}, school = {Hochschule Rhein-Waal}, pages = {60}, abstract = {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.}, language = {de} } @masterthesis{Keiffenheim, type = {Bachelor Thesis}, author = {Keiffenheim, Jan}, title = {Die Produktion von Audiodateien und deren Einbindung in Videospiele}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-3494}, school = {Hochschule Rhein-Waal}, pages = {54}, abstract = {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.}, language = {de} } @masterthesis{Pruem, type = {Bachelor Thesis}, author = {Pr{\"u}m, Moritz}, title = {Automated Hyperspectral Field Scanner for Vegetation Monitoring}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-2247}, school = {Hochschule Rhein-Waal}, pages = {57}, abstract = {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.}, language = {en} } @masterthesis{Schlossarek, type = {Bachelor Thesis}, author = {Schlossarek, Nina Tangyue}, title = {FinTechs in Germany - Current Status and Potential Impact on the Financial System}, school = {Hochschule Rhein-Waal}, abstract = {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.}, language = {en} } @masterthesis{Langer, type = {Bachelor Thesis}, author = {Langer, Sven}, title = {Influence of Cryptocurrencies on the Economy: A Potential-Analysis of Bitcoin as an Alternative Currency}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-6909}, school = {Hochschule Rhein-Waal}, pages = {89}, abstract = {"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.}, language = {en} } @masterthesis{Krawczyk, type = {Bachelor Thesis}, author = {Krawczyk, Adrian}, title = {Linux-Simulation als implizites Lernszenario}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-8122}, school = {Hochschule Rhein-Waal}, pages = {43}, abstract = {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.}, language = {de} } @masterthesis{Krishnamoorthy, type = {Bachelor Thesis}, author = {Krishnamoorthy, Harriha}, title = {K{\"u}nstliche Intelligenz und nachhaltiger Fast Fashion im E-Commerce - Machbarkeitsanalyse und qualitative Analyse zur kognitiven Dissonanz der Konsumenten}, school = {Hochschule Rhein-Waal}, abstract = {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.}, language = {de} } @masterthesis{Oha, type = {Bachelor Thesis}, author = {Oha, Kingsley}, title = {ADVANCEMENTS IN MICROSERVICE ARCHITECTURES: TACKLING DATA COMMUNICATION, SCALABILITY, AND CI/CD AUTOMATION CHALLENGES}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-20463}, school = {Hochschule Rhein-Waal}, pages = {69}, abstract = {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.}, language = {en} } @masterthesis{Helou2025, type = {Bachelor Thesis}, author = {Helou, Ziad}, title = {Opportunities and challenges for the solar industry in Lebanon.}, school = {Hochschule Rhein-Waal}, year = {2025}, abstract = {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.}, language = {en} } @masterthesis{FopaMamene, type = {Bachelor Thesis}, author = {Fopa Mamene, Morelle}, title = {Secure Access Service Edge (SASE): Architecture, Implementation, and Performance Evaluation}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-20700}, school = {Hochschule Rhein-Waal}, pages = {72}, abstract = {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).}, language = {en} } @masterthesis{Kottek, type = {Bachelor Thesis}, author = {Kottek, Nick}, title = {Echtzeit-Erkennung von Gesten des deutschen Fingeralphabets mithilfe eines Convolutional Neural Networks}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-19768}, school = {Hochschule Rhein-Waal}, pages = {58}, abstract = {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.}, language = {de} } @masterthesis{Nacke, type = {Bachelor Thesis}, author = {Nacke, Marius}, title = {K{\"u}nstliche Intelligenz zur Vorhersage von Kreditentscheidungen}, school = {Hochschule Rhein-Waal}, abstract = {Seit der Versch{\"a}rfung der Kreditrichtlinien im Jahr 2022 ist es zunehmend schwieriger geworden, einen Kredit in Deutschland und im europ{\"a}ischen Raum zu erhalten. Das Interesse an Krediten ist zuletzt ungeachtet dieser Erschwernisse angestiegen. Vergleichs- und Vermittlungsportale f{\"u}r Kredite k{\"o}nnen potenziellen Darlehensnehmern aktuell nur in begrenztem Maße dabei unterst{\"u}tzen, eine genehmigte Kreditanfrage zu erhalten. Die Vorhersage der Kreditentscheidungen von Banken kann als Basis f{\"u}r weitere Methoden fungieren, die Kreditnehmern helfen k{\"o}nnen, die Wahrscheinlichkeit einer Genehmigung zu erh{\"o}hen. In der vorliegenden Arbeit wird daher untersucht, welche Verfahren des Machine-Learning am ehesten f{\"u}r die Vorhersage von Kreditentscheidungen geeignet sind. Dazu werden die Daten der Yareto GmbH, eines Vergleichs- und Vermittlungsportals f{\"u}r Fahrzeugkredite, f{\"u}r das Training sowohl eines Logistischen-Regressions- und XGBoost-Modells als auch eines Multilayer-Perceptrons verwendet. Das XGBoost-Modell erreicht dabei die h{\"o}chste Accuracy und Precision mit 73,6\\% bzw. 76,1\\% bei einer Trainingszeit von lediglich 55 Minuten. Das Multilayer Perceptron kann eine {\"a}hnlich hohe Accuracy erreichen, bedarf allerdings mehr als zehn Stunden f{\"u}r das Training. Demnach ist XGBoost am ehesten von den drei untersuchten Verfahren zur Vorhersage von Kreditentscheidungen geeignet.}, language = {de} } @masterthesis{Grigo, type = {Bachelor Thesis}, author = {Grigo, Tobias}, title = {Das Homeoffice in der Verwaltung - Eine Zwischenbilanz und Erfahrungsberichte zu Best Practices, Weiterentwicklung und Herausforderungen}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-20272}, school = {Hochschule Rhein-Waal}, pages = {103}, abstract = {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.}, language = {de} } @masterthesis{Boulmane2025, type = {Bachelor Thesis}, author = {Boulmane, Aya}, title = {Development of a Web-Based Tool for Estimating Lifecycle CO₂ Emissions of Electric vs. Diesel Vehicles in Germany}, school = {Hochschule Rhein-Waal}, year = {2025}, abstract = {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.}, language = {en} } @masterthesis{Okos, type = {Bachelor Thesis}, author = {Okos, Martin}, title = {Ethische und rechtliche Rahmenbedingungen des Maschinellen Lernens - eine systematische Analyse zur Konzeptualisierung und Regulation innerhalb der EU}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-15170}, school = {Hochschule Rhein-Waal}, pages = {80}, abstract = {Die Entwicklungen des maschinellen Lernens und damit einhergehend auch der k{\"u}nstlichen Intelligenz umfassen immer mehr Anwendungsf{\"a}lle im t{\"a}glichen Leben. Je komplexer und autonomer diese Systeme werden, desto schwieriger l{\"a}sst 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 f{\"u}r den Umgang mit diesen Technologien. Neben der Erkl{\"a}rung wesentlicher Begriffe aus dem Bereich der KI und Ethik werden durch die Recherche geeigneter Literatur {\"u}ber Pflegeroboter und dem autonomen Fahren zwei Anwendungsbereiche vorgestellt, die einen Bedarf an moralischen Maschinen aufweisen. Maßnahmen zur Regulierung innerhalb der Europ{\"a}ischen Union erfolgen durch das Anwenden bestehender und Erlassen neuer Gesetze sowie {\"u}ber die Definition ethischer Leitlinien, die ebenfalls als Teil der vorliegenden Arbeit behandelt werden.}, language = {de} } @masterthesis{Salobir, type = {Bachelor Thesis}, author = {Salobir, Jan}, title = {Relaunch eines Kommunalen Webauftritts beim KRZN}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-15214}, school = {Hochschule Rhein-Waal}, pages = {42}, abstract = {In der Arbeit wird der Prozess des Relaunches eines kommunalen Webauftritts Schritt f{\"u}r Schritt analysiert und besonders darauf geachtet, wie die gesetzlichen Anforderungen f{\"u}r so einen Webauftritt umgesetzt werden.}, language = {de} } @masterthesis{Ponten, type = {Bachelor Thesis}, author = {Ponten, Marvin}, title = {Visualisierung von Kulturg{\"u}tern am Beispiel der r{\"o}mischen Kaiserthermen in Trier als 3D Modell.}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-15889}, school = {Hochschule Rhein-Waal}, pages = {49}, abstract = {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".}, language = {de} } @masterthesis{Scheil, type = {Bachelor Thesis}, author = {Scheil, Jonathan}, title = {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}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-13687}, school = {Hochschule Rhein-Waal}, pages = {84}, abstract = {Since the last federal election in germany, the CDU is no longer the strongest force and suffered large losses of votes. The SPD, B{\"u}ndnis 90/Die Gr{\"u}nen 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 B{\"u}ndnis 90/Die Gr{\"u}nen, 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.}, language = {de} } @masterthesis{Vela, type = {Bachelor Thesis}, author = {Vela, Gianfranco}, title = {Anwendbarkeit des Gamification Frameworks Octalysis auf Multibankingapps}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-11349}, school = {Hochschule Rhein-Waal}, pages = {58}, abstract = {Ziel der vorliegenden Abschlussarbeit war es, ausgew{\"a}hlte Multibankingapps anhand des von Yu-Kai Chou entworfenen Gamification Frameworks Octalysis (Y.-k. Chou, 2019) zu analysie- ren, um daraufhin eine Aussage {\"u}ber die Anwendbarkeit des Frameworks auf Multibankingapps treffen zu k{\"o}nnen. 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 best{\"a}tigt, jedoch ergaben sich weitere Abh{\"a}ngigkeiten, welche grundlegend f{\"u}r eine erfolgreiche Anwendung sind. Darunter z{\"a}hlt beispielsweise die Offenheit der Nutzer gegen{\"u}ber Finanzthemen.}, language = {de} } @masterthesis{Westermann, type = {Bachelor Thesis}, author = {Westermann, Beke}, title = {Kryptow{\"a}hrung als Alternative zu herk{\"o}mmlichem Geld - Aus {\"o}kologischer Sicht}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-16758}, school = {Hochschule Rhein-Waal}, pages = {73}, abstract = {Seit 2009 das erste Mal der Bitcoin als Open-Source-Software ver{\"o}ffentlicht wurde, sind neue Kryptow{\"a}hrungen stetig dazu gekommen und weiterentwickelt worden. Einige Jahre sp{\"a}ter folgten W{\"a}hrungen wie Litecoin, Ripple und Ethereum. Inzwischen sind Kryptow{\"a}hrungen im Großteil der Welt legal und gelten in einigen L{\"a}ndern bereits als offizielles Zahlungsmittel. Betrachtet man die weitere Entwicklung, stellt sich die Frage, ob Kryptow{\"a}hrungen eine funktionierende Alternative zu herk{\"o}mmlichen W{\"a}hrungen bieten k{\"o}nnen, und ob diese unter aktuellen {\"o}kologischen Bedingungen tragbar w{\"a}re. Ziel ist es, die Frage zu beantworten, welche Kriterien Kryptow{\"a}hrungen erf{\"u}llen m{\"u}ssten, um weiterhin einen hohen Stellenwert einzunehmen. Es wird eine Literaturrecherche durchgef{\"u}hrt, welche die Funktionsweise und Problematik verschiedener Mining-Konzepte erkl{\"a}rt, und {\"o}kologische Daten analysiert. Dabei zeigt sich, dass es Ans{\"a}tze zu {\"o}kologischen Kryptow{\"a}hrungen gibt, die noch in der Entwicklung sind. Kryptow{\"a}hrungen, die diese Aspekte nicht ber{\"u}cksichtigen, werden langfristig als Alternative {\"o}kologisch nicht tragbar sein.}, language = {de} } @masterthesis{Pramanik, type = {Bachelor Thesis}, author = {Pramanik, Lukas}, title = {Digitale Selbstwirksamkeit als Schl{\"u}ssel zur Arbeitszufriedenheit im demographischen Wandel. Der Mediierende Effekt digitaler Selbstwirksamkeit auf die Beziehung zwischen Alter und Arbeitszufriedenheit.}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-17339}, school = {Hochschule Rhein-Waal}, pages = {74}, abstract = {Die kontinuierliche Digitalisierung der Arbeitswelt f{\"u}hrt 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 Pr{\"a}diktor f{\"u}r 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 durchgef{\"u}hrt. Es wurde erwartet, dass steigendes Alter in einer negativen Beziehung zu Arbeitszufriedenheit und digitaler Selbstwirksamkeit steht. Zus{\"a}tzlich 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 St{\"o}rvariable konnte ausgeschlossen werden. Praktische und theoretische Implikationen werden diskutiert.}, language = {de} } @masterthesis{Akmal, type = {Bachelor Thesis}, author = {Akmal, Ali}, title = {Development and control of G32 smart gas burner system}, school = {Hochschule Rhein-Waal}, abstract = {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.}, language = {en} } @masterthesis{Gooren, type = {Bachelor Thesis}, author = {Gooren, Lutz}, title = {K{\"u}nstliche Intelligenz in einer Geodateninfrastruktur}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-17005}, school = {Hochschule Rhein-Waal}, pages = {63}, abstract = {K{\"u}nstliche Intelligenz in Form von neuronalen Netzen wird in der {\"o}ffentlichen Verwaltung bislang wenig eingesetzt. Im Zuge der Digitalisierung im Bereich der {\"o}ffentlichen Verwaltung m{\"u}ssen bestehende Datens{\"a}tze, welche nicht- oder schwer maschinenlesbar sind, {\"u}ber offene Schnittstellen und Datenstandards bereitgestellt werden. Sch{\"a}tzungsweise 80 \% der erfassten Daten sind in der {\"o}ffentlichen Verwaltung nicht- oder schwer maschinenlesbar. In dieser Arbeit soll gepr{\"u}ft werden, ob ein k{\"u}nstliches neuronales Netz, welches auf der ImageNet Datenbank basiert und durch weitere Beispiele trainiert worden ist, bestehende (nicht-maschinenlesbare) Datens{\"a}tze in Tabellenform aus dem Bereich der Geoinformatik erkennen und in einer passenden Datei mit offenem Datenstandard (teil-)automatisiert speichern kann, um diese f{\"u}r den Einsatz in einer offenen urbanen Datenplattform vorzubereiten. Zudem werden Optimierungsvorschl{\"a}ge f{\"u}r eine Verbesserung des neuronalen Netzes genannt und umgesetzt. Im Laufe der Arbeit ergibt sich, dass das trainierte Modell f{\"u}r den praktischen Einsatz nicht ausreichend genau funktioniert, aber eine gute Basis f{\"u}r weitere Optimierungen liefert, etwa durch eine Vergr{\"o}ßerung des Trainingsdatensatzes, welche die Anforderung einer Steigerung der Rechenleistung voraussetzt.}, language = {de} } @masterthesis{Sueyruege2026, type = {Bachelor Thesis}, author = {S{\"u}yr{\"u}ge, Ey{\"u}p}, title = {Vergleich von FPGA und Mikrocontroller f{\"u}r die Echtzeitverarbeitung von Audiosignalen zur Richtungserkennung mittels FFT und TDOA einschließlich LED-basierter Visualisierung}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-23229}, school = {Hochschule Rhein-Waal}, pages = {57}, year = {2026}, abstract = {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 daf{\"u}r ein Field Programmable Gate Array (FPGA) und ein Mikrocontroller (MCU) eingesetzt. Dabei konzentriert sich die Arbeit auf die Untersuchung der beiden Plattformen, wobei die Leistungsf{\"a}higkeit, 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.}, language = {de} } @masterthesis{Muesch2025, type = {Bachelor Thesis}, author = {M{\"u}sch, Yannick}, title = {Kolmogorov-Arnold-Transformer: Untersuchung hybrider KAN-Transformer-Architekturen im Hinblick auf Skalierung, Effizienz und Interpretierbarkeit}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-23376}, school = {Hochschule Rhein-Waal}, pages = {85}, year = {2025}, abstract = {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.}, language = {de} }