TY - THES A1 - Bhattarai, Anish T1 - Digitizing the Bait Lamina Method: Facilitating Autonomous Learning and Data Processing in Ecological Research N2 - In recent years, digital tools in soil science have evolved to modernize and streamline traditional approaches by fostering greater learning engagement and enhancing accessibility. The primary goal of this research is to create an application that intends to facilitate autonomous learning while streamlining data processing, visualization, and reporting for the Bait Lamina Method (BLM). Advanced technologies such as React.js, Tailwind CSS, Vite.js, and several Node.js modules were used to implement essential functionalities. Moreover, to ensure smooth and scalable app delivery, Docker was employed. Furthermore, thorough usability testing was carried out with students from both the school and university to create a sturdy app that satisfies the needs and standards of users. This research utilized a mixed-methods approach to evaluate the app's overall usability, emphasizing efficiency, learnability, dependability, and overall satisfaction. Quantitative analysis included phi coefficient correlation, chi-square testing, and multiple ordinary least squares (OLS) regression to measure overall usability and user satisfaction. Meanwhile, qualitative approaches such as theme and sentiment analysis were used to get insight into user experiences, preferences, difficulties, and ideas for improvement. The study demonstrated that understanding the method is a key driver influencing student satisfaction. Therefore, the Bait Lamina App (BLA) immensely facilitated autonomous learning while speeding up data processing, visualization, and administration for the BLM. However, a few small faults and student comments were integrated into the BLA, which improved its use and satisfaction. KW - Bait Lamina Method (BLM) KW - Soil Science KW - Web Application Development KW - Autonomous Learning KW - Online Learning KW - Data Calculation KW - Visualization KW - Reporting KW - Usability Testing KW - Data Analysis KW - Enhancements Y1 - 2025 ER - TY - THES A1 - Nguyen, Duong Hoang Phuong T1 - Decolonizing French loanwords in Vietnamese N2 - For nearly a century, Vietnam was under French rule, a period that saw the introduction of new concepts, foods, clothing, and occupations. However, these objects were never meant for good, but rather instruments of colonial control. Over time, the local population adopted their names into everyday language, turning them into loanwords. Today, while most traces of the colonial era have faded, these loanwords persist. This raises a crucial question: Do loanwords serve as remnants of colonialism? And what role can a designer play in reclaiming them? Y1 - 2025 ER - TY - THES A1 - Nguyen, Duc Huy Quang T1 - Debugging and Analyzing USB Communication on a Custom USB-LORA Board Using Open-Source USB Tracing Tools N2 - This thesis presents a method and highlights the effectiveness of Universal Serial Bus (USB) tracing tools (USB sniffers) to debug and analyze USB communication during the development of a custom USB board. The custom board in this project, referred to as the USB2LORA board, is a printed circuit board (PCB) that integrates a FT232H USB 2.0 high-speed chip with a wireless LoRa transceiver. The primary objective of this thesis is to investigate how effective USB sniffer is in debugging and analyzing USB traffic between a USB device and a USB host, verifying the USB traffic against the standard, and detecting potential anomalies in communication. Using the USB sniffer, I successfully captured the essential USB communication processes, including the host’s recognition of the USB2LORA boards, retrieval of its configuration details, and the exchange of control commands and data between the USB2LORA boards and the USB host. During the recognition phase, the host requested and retrieved information about the USB2LORA board, containing its configuration, the type of data it can send and receive, and details about the buffers used to store or prepare the data during USB transmission. In subsequent data exchange phases, the results show that the host effectively sent control commands to configure the USB chip and to initiate communication with the wireless transceiver. The observed USB traffic aligned well with the USB standard and confirmed the correct behavior of the USB2LORA boards. Overall, the incorporation of a USB sniffer into the development and verification process of a custom USB board allows effective debugging of USB traffic and ensures adherence to the USB specification. Moreover, it enables developers to confirm the expected behavior of their software and their USB peripheral board as well as detect any anomalies in the communication. KW - Universal Serial Bus KW - USB sniffer KW - USB communication analysis KW - FT232H chip KW - LoRa transceiver Y1 - 2025 ER - TY - THES A1 - Kisters, Sina T1 - Belastungen im Berufsalltag einer pädagogischen Fachkraft und der professionelle Umgang mit Diesen N2 - Pädagogische Fachkräfte sind in ihrem Berufsalltag mit vielfältigen Belastungen konfrontiert, darunter hoher Zeitdruck, Personalmangel und steigende berufliche Anforderungen. Diese Faktoren führen zu erheblichen psychischen und physischen Beanspruchungen, die sich auf die Arbeitszufriedenheit und die pädagogische Qualität auswirken können. Ziel dieser Bachelorarbeit ist es, individuelle und institu-tionelle Strategien zur Bewältigung dieser Belastungen zu untersuchen. Mithilfe einer anonymen Onlineumfrage und eines Experteninterviews wurden so-wohl persönliche als auch strukturelle Bewältigungsmechanismen erfasst. Die Er-gebnisse zeigen, dass Fachkräfte vor allem auf soziale Unterstützung, sportliche Aktivitäten und informelle Gespräche mit Kolleginnen und Kollegen setzen, wäh-rend professionelle Hilfsangebote wie Supervision oder Coaching selten genutzt werden. Institutionelle Maßnahmen wie Fortbildungen und Teambuilding-Aktivitäten werden zwar als hilfreich wahrgenommen, sind jedoch häufig unzureichend vor-handen. Theoretisch unterstreichen die Ergebnisse die Bedeutung von Schutzfaktoren wie Resilienz, sozialer Unterstützung und einer positiven Arbeitsumgebung. Praktisch ergibt sich daraus die Notwendigkeit, betriebliche Gesundheitsförderung auszu-bauen, Arbeitsbedingungen durch bessere Personalbemessung und flexible Struk-turen zu optimieren und Leitungskräfte gezielt in der Förderung eines gesunden Arbeitsklimas zu schulen. Nur durch eine Kombination individueller und institutio-neller Maßnahmen kann langfristig eine nachhaltige Verbesserung der Arbeitsbe-dingungen pädagogischer Fachkräfte erreicht werden. Y1 - 2025 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 - Tayebi Jazayeri, Seyed Omid A1 - Abou Dargham, Karim T1 - The Impact of Corporate Taxation on Social Inequality: A Case Study of selected OECD Countries N2 - The relevance of corporate taxation in the context of redistribution has recently been undermined, meanwhile, income and wealth inequality are globally on the rise. Profit shifting, tax avoidance, deductions, and exemptions in current international tax practices have contributed to lower tax revenues worldwide, splitting the consideration of corporate tax rates into two: statutory vs effective. In light of this, this thesis examines the relationship between corporate taxation and social inequality. The effects of statutory and effective tax rates on both income and wealth inequality (measured by their respective Gini-coefficients) are compared. A panel data regression model was carried out using SPSS. The model was applied to a selection of 10 OECD countries, spanning over a 6-year period from 2017 to 2022. The regression model indicates a significant relationship between income inequality (income Gini-coefficient) and the two corporate tax rates (estimates of -0.332 for statutory and -0.311 for effective). However, a significant relationship between wealth inequality (wealth Gini-coefficient) and the two tax rates was not identified. In addition, limitations regarding heteroscedasticity, potential endogeneity issues, and the small data set were addressed in detail but not completely ruled out. Implications include the effectiveness of progressive corporate taxation as a redistributive tool in the case of income inequality and the investigation of alternative taxes for tackling wealth inequality. The need for policies that push for easier attainment of data on wealth inequality is crucial for future research on the matter. KW - Corporate tax rates KW - Social inequality KW - Gini-coeffcient KW - Income inequality KW - Wealth inequality KW - Profit-shifting KW - Effective tax rates KW - Statutory tax rates KW - OECD Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-21875 ER - TY - THES A1 - Rostalski, Sarah-Maria T1 - Radio Astronomy Essentials: Calibration Techniques with the 2.3m Radio Telescope at Rhine-Waal University N2 - This thesis discusses calibration and, in this context, multiple ways of determining the system temperature of the 2.3-metre radio telescope at Rhine-Waal University of Applied Sciences in Kamp-Lintfort. Two methods for determining the system temperature are described here: the hot/cold-method and the derivation from the radiometer equation using measurement data from a source with a known brightness temperature, in this case, S7. Both methods deliver different results, depending on the measurements and assumptions on which they are based. The results show that the data basis and uncertainties should always be considered when analysing the observational data to be able to evaluate the results correctly. Overall, the telescope is quite suitable for educational observations, especially of the 21-cm line of neutral hydrogen. Furthermore, instructions have been created for the various tasks so that the results are reproducible and comprehensible. The entire process is made transparent, from planning the observations and setting up the telescope to measuring and analysing the data. In addition, basic concepts of radio astronomy are described in theory to provide valuable background knowledge. On this basis, the use of the telescope enables students and amateur astronomers to understand and apply the basic principles of radio astronomy and to plan and carry out their own observations. KW - Radio Astronomy KW - Radio Telescope KW - Interdisciplinary Education Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-21533 ER - TY - THES A1 - Besliu, Stas T1 - Emulsion splitting by applying CO2 and pressure N2 - This investigation is focused on analysing pressurized CO2 injection as a technique for breaking oil-in-water emulsions and proposing an efficient substitute for conventional methods. The destabilisation mechanisms, flotation rate acceleration, and segregation of phases in the system undergo considerable improvement through CO2 microbubbles formation. The ability to effectively separate and isolate aqueous and oil phases is important for treating industrial wastewater, hence optimizing waste reduction and resource recovery. The laboratory studies explore various operational parameters, such as CO₂ consumption efficiency, pressure variations, and residence time, in order to optimize splitting in various emulsion mixtures. The studies proved to effectively provide up to 95% total organic carbon (TOC) reduction, particularly achieved in combination with prolonged flotation and settling. Significantly, treatment by CO2-induced separations proved to have most efficiency in synthetic Sodium Lauryl Sulphate (SDS)-based emulsions and in industrial scenarios such as in cooling lubricants. In addition, prolonging flotation time to an overnight timeframe significantly increased TOC reduction in the case of the SDS emulsion. The presented results offer a new look over the experimental development of separation technologies, demonstrating the effective splitting of emulsions by injecting CO2 without additional pressure input and thus its feasibility in an industrial setting. In addition to providing a chemical-free separation alternative, this method offers the advantage of reduced energy input and the potential for CO2 recapture and reuse as well as oil recovery. KW - Emulsion splitting KW - oil-in-water emulsion KW - flotation KW - oil recovery. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-21931 ER - TY - THES A1 - Pogrebnyak, Anna T1 - Application of the Ant Colony Algorithm for solving routing optimization problem in logistics N2 - In logistics there are different options of how the Traveling Salesman Problem can be solved. For that purpose, the Ant Colony Optimization (ACO) may be used. In the thesis, the method is implemented in order to solve the routing optimization problem. In that case, the mathematical application is observed and analyzed. ACO parameters that affecting the working principles were researched in the thesis with the corresponding graphical representation. Based on the theoretical logic the Java language program is written for the purpose of realizing the ACO algorithm. In order to grade the effectiveness of the obtained results the additional model the Greedy method was applied. The developed program tool demonstrates the practical applications and a solution of the routing problem based on the real data in Wesel region. The thesis is focused on the route length optimization and cost reduction in terms of ACO implementation. KW - Ant Colony Optimization KW - Traveling Salesman Problem KW - Routing problem KW - Cost reduction KW - Route length optimization KW - Java software program Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-22135 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 - Celik, Sizel T1 - Virtual Influencers in Brand Management: A comparison between human and artificial Influencers N2 - This Bachelor Thesis examines the impact of Virtual Influencers (VIs) on Brand Management by comparing them with Human Influencers (HIs) in various dimensions. The research question is: "What impact can Virtual Influencers have on Brand Management?". The aim is to identify the advantages and disadvantages of VIs from a Brand Management perspective. The research utilizes a literature review and comparison to evaluate key dimensions such as authenticity, credibility, engagement, diversity, flexibility and Marketing effectiveness. The results show that VIs offer significant benefits, including flexibility, adaptability, diversity, high engagement rates, increased brand awareness and cost-effectiveness. VIs can operate without time, location or health restrictions and can be precisely customized to the brand strategy. They also achieve higher engagement rates, especially with sponsored posts, and can effectively increase brand visibility and recognition. However, the study also identifies several challenges associated with VIs. These include authenticity issues, as VIs do not have real-life experiences, making it difficult to develop real emotional connections with followers. In addition, VIs may struggle to gain credibility when promoting physical products and may not be as effective at generating purchase intention as HIs. The reduced parasocial interactions and initial distrust of users are also notable drawbacks. Overall, the research concludes that while VIs offer great potential for Brand Management and bring unique benefits, brands need to carefully consider the challenges associated with them. Integrating VIs into Marketing strategies requires addressing authenticity and emotional connection issues to maximize their effectiveness in influencing consumer behavior and building trust-based relationships. KW - Virtual Influencers KW - Brand Management KW - Human Influencers KW - Marketing effectiveness KW - Influencer Marketing Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-20735 ER - TY - THES A1 - Paradis, Fabian T1 - Innovation and Digital Transformation: Reshaping the Future of Food Retail N2 - The aim of this bachelor thesis is to find out how the future of food retail will be influenced by digital technologies and innovations in this market. For that purpose the following research question ‚How do new technologies and innovations impact grocery retailers‘ will be answered. In order to do that a qualitative literature review has been performed. The majority of the literature is relatively new and deals with topics such as digitalization methods, business models, and innovative technologies. In addition to that, examples of companies that already apply such technologies have been presented in this thesis. The qualitative study shows, that companies operating in the field of grocery retailing are deeply affected by digital changes. The pressure from e-commerce startups as well as the adaption to customer needs forces participants in the market to innovate faster in digital technologies with large monetary investments. The results demonstrate that companies have to plan the implementation of digital technologies strategically in order to stay competitive in the market. On this basis, it is recommended, that companies make use of theoretical approaches to plan and outline future investments. KW - Innovation KW - Food Retail KW - Technologies KW - Digitalization KW - Groceries KW - Delivery Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-20748 ER - TY - THES A1 - Rüsel, Henri T1 - Prototypische Entwicklung eines Geoinformationssystems zur Koordination von Fluggeräten der Polizei Nordrhein-Westfalen während der Fußball-Europameisterschaft 2024 N2 - This bachelor thesis explores the prototypical development of a Geographic Information Sys-tem (GIS) for coordinating police aerial devices in North Rhine-Westphalia during the UEFA Euro 2024. The need for a coordination system stems from the rising utilization of drones and helicopters by law enforcement and the concurrent challenge of coordinating them securely. The primary aim of this project is to create an IT driven system that enhances the coordination of both manned and unmanned aerial vehicles. Through an analysis of requirements and exa-mination of technological and legal frameworks a GIS was crafted to cater to the specific requi-rements of NRW police. The prototype implementation enabled real-time visualization and monitoring of aerial devices, potentially improving security and efficiency at large-scale events. The outcomes and understandings from the trial phase of this system offer insights into the capabilities and constraints of the technology for deployment and future exploration, in this domain. KW - Geographic Information System KW - law enforcement technology KW - Euro 2024 KW - UAV ma-nagement Y1 - 2024 ER - TY - THES A1 - Üngüder, Ömer Özgün T1 - Real-Time Chat Application with ADALM-PLUTO Software Defined Radio N2 - Software-defined radios (SDRs) are flexible, inexpensive, portable, and efficient devices that can be used in the development of applications and solutions for various domains, from telecommunications to radar systems. In this thesis, I present the PlutoChat application that establishes wireless digital communication between two AdalmPluto SDRs in Python programming language. To take advantage of the structure of the Pluto SDR RF chip and handle phase shifts, I introduce the 4/2-QAM quadrature amplitude modulation. For the PlutoChat application, I developed the communication system's components, both on the transmitting and receiving ends, in Python and tested with the data obtained from the Pluto SDR. To address the challenges related to carrier recovery and timing synchronization, adaptive algorithms were used in PlutoChat. This thesis also outlines a communication protocol that involves symbol conversion and frame generation to facilitate the transmission of text messages over the air. To ensure system reliability, I measured the local oscillator performance of the Pluto SDR and tested individual communication blocks of the PlutoChat, including both receiver and transmitter components, using an example text through the Pluto SDR. Having achieved successful transmission and reception, I integrated the communication system blocks in the PlutoChat application. To validate the practical utility of PlutoChat, the end users engaged with the system, sending and receiving text messages via the IPython terminal. KW - PlutoChat KW - software-defined radio KW - PlutoSDR KW - chat application KW - SDR Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-18525 ER - TY - THES A1 - Schlüter, Leon T1 - Modelling Power Generation of Photovoltaics using Weather Data for the Design of an Electrolysis System N2 - To simplify the process towards the development of necessary hydrogen energy storage systems, this research project provides important information and tools for the planning process of such systems on a small scale. Several questions about a solar powered system using hydrogen for energy storage designed for the companies WSN and ESN, could not be answered sufficiently with the available tools which made developing new tools necessary. This tool incorporates various input variables and PV energy generation data to simulate the system's performance over a year into a Microsoft Excel based simulation. Within the framework of the tool developed over the course of the thesis, theoretical exploration of various options for system composition can take place. The insights gained there can be transferred to the implementation of actual projects and have an impact on the speed at which these projects can be realized. The results of the simulation led to the proposal of a system designed for the company WSN, where hydrogen serves as a long-term energy storage solution. Notably, this approach significantly reduces the surplus energy that goes unused, making the system more efficient. This research contributes valuable insights and practical tools to enhance the planning and implementation of small-scale hydrogen energy storage projects. KW - System simulation KW - Hydrogen energy storage KW - Green hydrogen KW - Renewable energy storage KW - Renewable microgrid Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-18547 ER - TY - THES A1 - Hanafy, Ahmed T1 - API Driven Form Rendering N2 - This master’s thesis investigates the challenges and opportunities associated with dynamic form rendering in user interfaces, specifically in the context of Galeria Karstadt Kaufhof (GKK), a key player in the German retail sector. Collaborating with CODUCT Solutions GmbH, this research aims to enhance GKK’s operational efficiency and user experience in their digital transformation journey, focusing on Project Baldeney, a cloud-native platform that automates content management workflows. The thesis begins by outlining the limitations of traditional, static methods of form rendering, highlighting the implications for development time and error frequency. It identifies the fragmentation in the existing API-driven architectures as a critical issue affecting system reliability and user experience. Against this backdrop, the work proposes a unified, API-driven framework to dynamically render forms for many user actions, such as data input and transactions. The research takes a deep dive into existing systems—particularly Informatica’s Product Information Management (PIM) software and the new software in development Article Workbench to identify user experience issues, inefficiencies, and the complexities involved. Through this examination, it offers a targeted solution to integrate various components of form management, like building, parsing, validation, and rendering, into a cohesive system. The thesis aims to contribute to software development and user experience design substantially, by targeting improved development efficiency, reduced errors, and enhanced system reliability. By achieving these objectives, the research aspires to furnish GKK with a robust solution for dynamic form rendering, thereby enhancing both user satisfaction and system performance in the fast-evolving digital landscape. KW - Dynamic Form Rendering KW - API-Driven Architecture KW - Retail Software Integration KW - User Interface Efficiency KW - Product Information Management Y1 - 2023 ER - TY - THES A1 - Cremer, Luca T1 - Opportunity and Risk. A critical Assessment of the Ethics of Artificial Intelligence N2 - The literature review at hand addresses the following research question: “Does artificial intelligence and its future development potentially pose a significant threat to individuals’ well-being and humanity’s ethical values?”. For providing answers to the topic at hand, three hypotheses are investigated in detail out of which H0: “Artificial intelligence does pose a significant potential threat to individuals well-being and humanity’s ethical values.” is accepted in accordance with evaluation of findings gathered from 121 sources overall. Threats of artificial intelligence were identified in overall five fields of application, namely medical science, transport industry, potential militarization, surveillance as well as in interaction of artificial intelligence with consumers, for which the natural language processing model ChatGPT was investigated. Regarding medical sciences, threats include potential dehumanization effects through care robots equipped with artificial intelligence. In the transport industry, multiple issues may arise with autonomously operating vehicles while in potential military application of artificial intelligence, research is conducted in multiple countries. Regarding surveillance, artificial intelligence severely facilitates the implementation of social credit systems, as for instance seen in China. Additionally, human nature is embedded in the context of continuous development of artificial intelligence with aim of establishing a first approximation to guidelines of potentially needed limitations of further development of artificial intelligence. It is concluded that, for implementing specific limitations on development of artificial intelligence, more research is needed for identifying the most suitable approach of limiting further development of artificial intelligence. KW - Artificial intelligence KW - Human nature KW - Ethics KW - Threats of artificial intelligence Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-18656 ER - TY - THES A1 - Swiderska, Julia T1 - The Impact of Inflation on the German Middle Class N2 - This paper investigates the research question whether the lower, middle, and upper class in Germany are heterogeneously impacted by inflation. The low, moderate and high inflation periods in Germany were analyzed in regard to the impact on the three different social classes. The indicator to measure the change was the share of income and cost of living. Moreover, the New Keynesian framework is applied within models. Concludingly it was verified that inflation heterogeneously impacts the lower, middle, and upper class. It was also concluded that high inflation negatively impacts the middle class. KW - Inflation expectations KW - Germany KW - New Keynesian KW - Supply shock KW - Demand shock Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-19318 ER - TY - THES A1 - Rosa, Nathalie T1 - Technische Assistenzsysteme im sonderpädagogischen Kontext - Bedarfe, Anforderungen und Barrieren einer deutschen Förderschule mit dem Schwerpunkt geistige Entwicklung T1 - Assistive Technology Systems in the Special Educational Context - Needs, Requirements, and Barriers of a German Special School for Intellectual Development N2 - Das Ziel dieser Arbeit ist es zu untersuchen, welche Bedarfe, Anforderungen und Barrieren sich für die Implementierung assistiver Technologien in verschiedenen Bereichen des Schulalltags von Schüler*innen mit speziellem Förderbedarf im Bereich geistige Entwicklung und das pädagogische Personal ergeben. Darüber hinaus soll erörtert werden, wie die gewonnenen Erkenntnisse mithilfe von Design-Thinking-Methoden als Grundlage für die zukünftige Entwicklung und Integration der Systeme dienen können. Um diese Fragestellung zu beantworten, wurden im Rahmen einer qualitativen Vorstudie in Kooperation mit der Bönninghardt-Förderschule in Alpen, Nordrhein-Westphalen, eine Hospitation sowie Experteninterviews durchgeführt. Die Interviews wurden anschließend mithilfe der Inhaltsanalyse nach Mayring (2022) analysiert und ausgewertet. Die Ergebnisse der Studie zeigen ungedeckte Bedarfe auf, darunter die Notwendigkeit einer individuellen Lernfortschrittsdokumentation, barrierefreier Navigations- und Orientierungssysteme sowie einer Zentralisierung verschiedener Software, Apps und Funktionen. Die Diskussion über die Anforderungen an Assistenzsysteme betont die Relevanz einer konsequenten Umsetzung der UD(L)-Prinzipien sowie die Bereitstellung von Eigenschaften wie Bild- und Symbolunterstützung, Sprachausgabe, Adaptivität, Interaktivität und Simplizität. Besonders hervorzuheben ist die praktische Anwendbarkeit und Barrierefreiheit von mobilen assistiven Alltagstechnologien, wie beispielsweise Tablets. Sie stellen nicht nur eine wirksame Unterstützung im Schulalltag dar, sondern können auch dazu beitragen Stigmatisierung und Scham sowohl innerhalb als auch außerhalb der Klassengemeinschaften zu reduzieren. Darüber hinaus wurde die Integration künstlicher Intelligenz als entscheidender Faktor in der Entwicklung moderner assistiver Hilfsmittel betrachtet. Für eine optimale Implementierung und Nutzung im schulischen Kontext ist es zudem von besonderer Bedeutung, effiziente Schulungen mit begleitendem Charakter anzubieten. Auf diese Weise kann nicht nur die Akzeptanz, sondern auch der erfolgreiche Einsatz der Technologien gewährleistet werden. N2 - The aim of this study is to examine the needs, requirements, and barriers arising in the implementation of assistive technologies in various areas of everyday school life for students with special educational needs in the field of intellectual development and the educational staff. Furthermore, it will be discussed how the insights gained can serve as a basis for the future development and integration of the systems using design thinking methods. In order to answer these questions, an observation and expert interviews were carried out as part of a qualitative preliminary study in cooperation with the Bönninghardt special school in Alpen, North Rhine-Westphalia. The interviews were subsequently analysed and evaluated using Mayring's content analysis method (2022). The results of the study reveal unmet needs, such as the documentation of individual learning progress, barrier-free navigation and orientation systems, as well as the centralisation of various software, apps, and functions. The discussion on the requirements for assistance systems highlights the relevance of consistent implementation of the UD(L) principles and the provision of features such as image and symbol support, voice output, adaptivity, interactivity, and simplicity. The practical applicability and accessibility of mobile assistive everyday technologies, such as tablets, should be particularly emphasised. They not only provide effective support in everyday school life, but can also help reduce stigmatisation and shame both inside and outside the classroom. In addition, the integration of artificial intelligence was considered a decisive factor in the development of modern assistive devices. For optimal implementation and utilisation in the school context, it is especially important to offer efficient training with an accompanying character. In this way, not only the acceptance but also the successful application of the technologies can be ensured. KW - Assistive technology KW - Special education KW - Intellectual development KW - Content analysis KW - Design thinking Y1 - 2024 ER - TY - THES A1 - Haas, Alexandra T1 - Empirische Untersuchung der Ätiologie von subklinischem Wahn in einer gesunden Stichprobe: Der Einfluss von Kindheitstrauma, Theory of Mind Fähigkeiten und einem niedrigen Selbstwert N2 - Hintergrund: Psychotisches Erleben, wie z.B. Wahnerleben und Paranoia, zeigt sich in klinischen sowie in nicht-klinischen Stichproben in unterschiedlichen Ausprägungsstärken. Der aktuelle Forschungsstand geht davon aus, dass Wahn dimensional in der Allgemeinbevölkerung ausgeprägt ist und eine hierarchische Struktur aufweist, die von subklinischem Wahn bis hin zu psychotischen Störungen reicht. Risikofaktoren wie Kindheitstrauma, Theory of Mind (ToM) Defizite und ein geringer Selbstwert erhöhen die Wahrscheinlichkeit für wahnhaftes Erleben. Um ein besseres Verständnis der Ätiologie von subklinischem Wahn zu bekommen, ist es wichtig, die Effekte dieser Risikofaktoren in gesunden Stichproben zu untersuchen. Methodik: Die vorliegende Studie untersuchte 100 gesunde Proband*innen der deutschen Allgemeinbevölkerung in Bezug auf subklinisches Wahnerleben. Mittels Fragebögen und computergestützter neuropsychologischer Tests wurde subklinischer Wahn, Kindheitstrauma, ToM-Fähigkeiten und der Selbstwert der Proband*innen erfasst. Mehrere statistische Verfahren, wie eine Hauptkomponentenanalyse sowie Korrelations-, Regressions- und Mediationsanalysen wurden genutzt, um die Zusammenhänge, Varianzaufklärungen und die prädiktive Güte der genannten Variablen in Bezug auf subklinischen Wahn zu untersuchen. Ergebnisse: Subklinischer Wahn liegt in einem geringen Ausmaß in der Stichprobe vor. Ein signifikant positiver Zusammenhang zwischen subklinischem Wahn und Kindheitstrauma wurde gefunden. Zudem konnten signifikant negative Zusammenhänge zwischen subklinischem Wahn und ToM-Fähigkeiten sowie mit Selbstwert gefunden werden. Die Ergebnisse der Regressionsanalyse unterstreichen die prädiktive Güte von Kindheitstrauma und geringem Selbstwert für subklinischen Wahn. Darüber hinaus zeigt die parallele Mediationsanalyse, dass Selbstwert ein signifikanter Mediator für die Beziehung zwischen Kindheitstrauma und subklinischem Wahn ist. Zusammenfassung: Die Ergebnisse tragen zu einem besseren Verständnis der Ätiologie von subklinischem Wahn bei, indem sie den Einfluss von Kindheitstrauma, ToM-Defiziten und geringem Selbstwert in einer gesunden Stichprobe aufzeigen. Da wahnhaftes Erleben zu Einschränkungen im privaten, familiären und beruflichen Kontext führen kann, ist es von großer Bedeutung, präventive Maßnahmen, wie z.B. selbstwertsteigernde Angebote, für die Allgemeinbevölkerung zugänglich zu machen. Diese sollen der weiteren Ausbildung von klinisch relevantem Wahn entgegenwirken. Y1 - 2024 ER - TY - THES A1 - Gurung, Purnima T1 - Sentiment Analysis in Nepali Tweets: Leveraging TransformerBased Pre-trained Models N2 - Despite the remarkable achievements of large transformer-based pre-trained models like BERT, GPT in several Natural Language Processing (NLP) tasks including Sentiment Analysis (SA), challenges are still present for subdued source languages like Nepali. Nepali language is written in Devanagari script, has complex grammatical structure and diverse linguistic features. Due to the absence of balanced datasets, and computational resources for Nepali, achieving optimal result with the latest architecture remains challenging. For this reason, publicly available NLP modelsfor Nepali are very less, making research in this area difficult. This paper attempts to addressthis gap through the use of pre-trained transformer models specially tailored for Nepali from Hugging Face including BERT, DistilBERT, ALBERT, and DeBERTa for sentiment analysis in Nepali tweets on relatively balanced datasets. The models are trained on large Nepali datasets and optimized for NLP tasks involving Devanagari scripts. To evaluate the model’s performance, various tokenization strategies are investigated in order to capitalize on transformer-based embedding with the SoftMax function and confusion matrix. The outcomes of models are compared using the same datasets. The study’s results shows that DistilBERT achieved the highest accuracy rate of 88% in Nepali sentiment analysis tasks, followed by BERT and DeBERTa at 83% and 80%, respectively. However, ALBERT showed a low accuracy of 70%. The result of this approach shares valuable viewpoints for the field of sentiment analysis in diverse linguistic contexts. KW - Sentiment Analysis KW - NLP KW - Nepali Tweets KW - Monolingual KW - DistilBERT Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-19677 ER - TY - THES A1 - Skaf, Leen T1 - Living Green Walls in the Workplace: Evaluating the Impact on Employee Well-being, Productivity, and Indoor Environmental Quality N2 - Living Green Walls (LGWs) represent a promising pathway towards sustainable agriculture and have proven psychological benefits applicable to educational and workspace environments (Van den Berg et al., 2016). This bachelor thesis investigates the impact of LGWs on indoor environmental quality, employees' well-being, and performance in the offices of the Facility Management Department of Hochschule Rhein-Waal (HSRW) - Kleve campus. A hybrid methodology is adopted, combining sensor measurements of physical parameters and a self-developed questionnaire assessing perceived LGW impact. The sensors are set up in four offices, three of which featured LGWs, while the questionnaire is distributed online to workers before and after the LGW installation. Eight workers participated in the study, of which 62.5 % were female, and 37.5 % were male, with age range between 25 and above 45 years old. The results indicate a positive overall impact of LGWs on office environmental quality and employee well-being. The CO2 concentration was reduced on average by 30 ppm, whereas the relative humidity was increased, on average, by approximately 6 %. Hence, the LGWs enhanced slightly the air quality in the offices. Moreover, the target group claimed that their motivation level, on average, was raised by 15% after exposure to the LGWs. Hence, half of them agreed that the LGWs impacted their performance positively. However, challenges emerged concerning LGW technical design and employee engagement with the research. Despite obstacles, the study suggests potential for future improvements in methodology and technical aspects, offering promising project ideas for further research. Furthermore, the overall positive impact of LGW in this study has proven that integrating such systems into work environment can boost the motivation level of the workers and improve the environmental quality in workspaces. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-19696 ER - TY - THES A1 - Wissigkeit, Tobias T1 - Interaction design strategies for conversational video games to accommodate for anomalous user- and AI behaviors: A case study on integration strategies for interaction-based AI technologies in games using participatory design methods. N2 - The recent development of generative artificial intelligence (AI) has inspired some game developers to try and integrate it into games. Anomalous behavior by generative AI or users seems undesirable and effort is being made to find ways on how to prevent anomalous responses by generative AI. However, these responses are a unique trait of generative AI and in our project, we explore strategies on how the negative effects of anomalous user and AI behavior can be mitigated, instead of trying to prevent them from appearing. We want to leverage their uniqueness as an intended game mechanic and see in what context these strategies can work. To achieve these goals, we researched already existing integrations of generative AI features in games and entertainment as well as possible connections to game mechanics and systems that are not related to AI. Based on this, we created 4 prototypes of conversational games with generative AI characters, which allowed the AI to create anomalous responses and did not limit the player freedom of what they may input. In our 36 participatory design sessions, we found that anomalous user and AI behavior can have a positive influence on the player's experience if a game's story is set up in a way that it can allow new and diverging story threads, that are created by the player and AI, to be integrated and if there are supplementary game mechanics, that allow the player to follow the intended story and complete the game. KW - Generative AI KW - Video Game Design KW - Human-AI Interaction KW - AI Hallucinations KW - Participatory Design Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-19710 ER - TY - THES A1 - Khatiwada, Sabin T1 - AUTOMATION OF SOLAR WATER DISINFECTION (SODIS) ON A SMALL-SCALE USING ARDUINO DUE N2 - Clean water is essential for human health and well-being. In many parts of the world, access to safe drinking water is limited, leading to various waterborne diseases. Solar water disinfection(SODIS) is a simple and cost-effective method used to purify water using sunlight, where itinactivates the pathogens and makes the water safe for consumption. This disinfection process involves filling polyethylene terephthalate (PET) bottles with water and exposing them to sunlight for a specified period. The aim of this thesis is to develop a working prototype that exploresthe automation of SODIS on a small-scale using Arduino Due, a microcontroller board that offers advanced features for automation. The prototype consists of the necessary parts to perform SODIS automatically. In conventional SODIS, it is assumed that the required SODIS criteria are met within 6 hours of a sunny day. In contrast, in the prototype microcontroller pumps the water into the PET bottle, monitors sunlight exposure for 6 hours, determines disinfection, and then pumps out the water for consumption only when the threshold values for irradiance are met. If the conditions are not met, the exposure is extended by an hour each time and checked again. The prototype automates the SODIS on a small-scale using cost-efficient components. However, the prototype lacks oxygenation capacity, and there is a possibility of entering an infinite loop if the irradiance values are not met for a long time. The prototype could be further developed with extra sensors and extensive research for advanced automation. KW - Solar water disinfection KW - SODIS KW - Water disinfection KW - Irradiance KW - Sensors KW - Automation Y1 - 2024 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 - Gedikoglu, Furkan T1 - Versuchsorientierte Analyse von Federated Learning und Centralized Machine Learning-Methoden zur Bildklassifizierung unter besonderer Berücksichtigung von Datenschutz, Effizienz und Effektivität N2 - Die vorliegende Arbeit befasst sich mit der Untersuchung der Effektivität und Effizienz von verteiltem Fine-Tuning auf Endgeräten im Vergleich zu zentralisiertem, cloudbasiertem Machine Learning. Zu diesem Zweck wurden Experimente sowohl mit Federated Learning als auch mit Centralized Machine Learning durchgeführt. Dabei wurden verschiedene Modellarchitekturen, darunter ResNet-20 und ResNet-56, sowie unterschiedliche Parameterkonfigurationen getestet. Die Experimente wurden auf einer Testumgebung mit 21 Mac minis im Cloud Resilience Lab der Hochschule Rhein-Waal durchgeführt. Die Ergebnisse zeigen, dass der zentralisierte Ansatz im Allgemeinen eine höhere Modellgenauigkeit erreicht, während der verteilte Ansatz Vorteile im Bereich des Datenschutzes bietet. Die Analyse der Energieeffizienz ergab, dass der zentralisierte Ansatz weniger Energie verbraucht als der verteilte Ansatz. N2 - This thesis investigates the effectiveness and efficiency of distributed fine-tuning on end devices in comparison to centralized cloud-based machine learning. To this end, experiments were conducted with both federated learning and centralized machine learning. Different model architectures, including ResNet-20 and ResNet-56, and different parameter configurations were tested. The experiments were conducted on a test environment with 21 Mac minis in the Cloud Resilience Lab at Rhine-Waal University of Applied Sciences. The results show that the centralized approach generally achieves higher model accuracy, while the federated approach offers advantages in the area of data protection and privacy. The analysis of energy efficiency demonstrated that the centralized approach consumes less energy than the federated approach. Y1 - 2024 ER - TY - THES A1 - Plückelmann, Rene T1 - Entwicklung und Validierung einer Metrik zur Bewertung der Ergonomie mobiler Anwendungen unter Berücksichtigung von herstellerspezifischen Designrichtlinien Y1 - 2024 ER - TY - THES A1 - Engeln, Felix T1 - Verbesserung der Nutzbarkeit von Open Data-Portalen: Analyse, Schwachstellenidentifikation und Prototypentwicklung N2 - Diese Arbeit untersucht die Verbesserung der Benutzerfreundlichkeit von Open Data-Portalen durch nutzerzentrierte Designansätze. Durch die Entwicklung eines Prototyps werden spezifische Funktionen wie intuitive Suchmechanismen, fortschrittliche Analysetools und KI-Integration, exemplarisch durch ChatGPT, evaluiert. Besonders hervorgehoben wird die Bedeutung sozialer Interaktionsmöglichkeiten, die eine Gemeinschaft rund um die Daten fördern und die Datenqualität durch Nutzerfeedback steigern. Die Evaluierungsergebnisse zeigen eine deutliche Zufriedenheitssteigerung der Nutzenden, was das Potenzial dieser Ansätze unterstreicht. Die Arbeit bildet eine Grundlage für die kontinuierliche Entwicklung und Forschung im Bereich Open Data, um deren Nutzbarkeit und den demokratischen Nutzen zu maximieren. N2 - This thesis examines the enhancement of the usability of open data portals through user-centred design approches. The development of a prototype enables the evaluation of specific features, including intuitive search mechanisms, advanced analytics tools and AI integration, exemplified by ChatGPT. The significance of social interaction options that foster a community around the data and enhance data quality through user feedback is emphasised. The evaluation results demonstrate a notable enhancement in user satisfaction, which underscores the potential of these approaches. The work serves as a foundation for continuous development and research in the field of open data, with the objective of optimising its usability and democratic benefits. Y1 - 2024 ER - TY - THES A1 - Daniel, Bernwald T1 - Analyse der Entwicklung von Virtualisierung zu Containerisierung der IT-Infrastruktur in der öffentlichen Verwaltung unter besonderer Berücksichtigung von Cybersicherheit und Geschäftskontinuität N2 - This thesis examines the development from virtualisation to containerisation of the IT infrastructure in public administration. In particular, the aspects of cyber security and business continuity are analysed. The study covers the basics of virtualisation and containerisation, including their architecture and isolation mechanisms. Furthermore, the security risks and benefits of both approaches are analysed, especially with regard to container outbreak scenarios and vulnerability lifecycle management. A particular focus is placed on the breakdown of containerisation into different groups, including container runtime, container image and orchestration, in order to enable a differentiated view of security and efficiency potentials. Based on these findings, a concrete architecture proposal is presented that includes recommendations for the secure orchestration and management of containers. The aim of the work is to show how modern container technologies such as Docker and Kubernetes can provide a secure, scalable and cost-efficient platform for public administrations. N2 - Die vorliegende Arbeit untersucht die Entwicklung von der Virtualisierung hin zur Containerisierung der IT"=Infrastruktur in der öffentlichen Verwaltung. Dabei werden insbesondere die Aspekte der Cybersicherheit und der Geschäftskontinuität beleuchtet. Die Untersuchung umfasst die Grundlagen der Virtualisierung und Containerisierung, inklusive ihrer Architektur und Isolationsmechanismen. Des Weiteren werden die Sicherheitsrisiken und "=vorteile beider Ansätze analysiert, insbesondere im Hinblick auf Container"=Ausbruchsszenarien und das Schwachstellen"=Lifecycle"=Management. Ein besonderer Schwerpunkt liegt auf der Aufteilung der Containerisierung in verschiedene Gruppen, einschließlich Container Runtime, Container Image und Orchestrierung, um eine differenzierte Betrachtung der Sicherheits"= und Effizienzpotenziale zu ermöglichen. Auf Basis dieser Erkenntnisse wird ein konkreter Architekturvorschlag präsentiert, der Empfehlungen für die sichere Orchestrierung und Verwaltung von Containern beinhaltet. Ziel der Arbeit ist es, aufzuzeigen, wie moderne Container"=Technologien wie Docker und Kubernetes eine sichere, skalierbare und kosteneffiziente Plattform für öffentliche Verwaltungen bieten können. Y1 - 2024 ER - TY - THES A1 - Shrestha, Sabita T1 - Named Entity Recognition for Nepali Text Using Pre-Trained BERT-Based Model N2 - The popularity of using transformer-based models like Bidirectional Encoder Representations from Transformers (BERT) for various Natural Language Processing (NLP) tasks is increasing rapidly. Unfortunately, the research is very limited for low-resource languages like Nepali. This study examines the utilisation of pre-trained BERT-based NERNepal for Named Entity Recognition (NER) tasks in Nepali text. The main goal is to investigate the efficiency of the NERNepal model, which has been pre-trained and fine-tuned on Nepali corpus data for NER. This research provides new insights by evaluating the NERNepal model on two distinct datasets. It addresses unique linguistic challenges specific to Nepali. The study also offers a detailed analysis of the model's strengths and weaknesses. By focusing on diverse datasets, this study shows how adaptable the model is and how its performance varies. These aspects have not been explored extensively before. The EverestNER dataset is one of the largest human-annotated datasets in Nepal so far, and the Nepali_NER dataset is also BIO-annotated for the NER task, which helped to compare the model’s prediction. The performance was better on the Nepali_NER dataset in comparison with another selected dataset. The EverestNER dataset contained many complex words for ORG connected with many tokens for a single entity with different contextual meanings and different annotations for the same word in different tokens as per context. Because of this, it created more confusion for the prediction, especially for the ORG entity. It had a similar issue with another dataset as well, but the label annotation was better in comparison. Furthermore, the research tries to clarify the difficulties and constraints related to utilising pre-trained BERT models for NER in low-resource languages such as Nepali. The study focuses on research areas on the efficacy of the model and its performance on two different datasets. Post-training with the EverestNER train dataset was attempted, but due to computational resource limitations, only a maximum of 3 epochs was possible, which did not improve the evaluation. It also has implications for enhancing language processing tools for Nepali. The results show the ability of a pre-trained BERT-based model to improve NER skills for Nepali text. However, further study is required to overcome the current obstacles to identifying complex words. The availability of high computational resources and the possibility of combining other NER approaches with a transformer-based model could increase the performance and robustness of the model. Keywords: Named Entity Recognition, Natural Language Processing, BERT, low resources language KW - Named Entity Recognition KW - Natural Language Processing KW - BERT KW - low resources language Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-19870 ER - TY - THES A1 - Luitjens, Kim Jana T1 - Auswirkung von Wertschätzung auf das organisationale Commitment mit der Unterscheidung zwischen dem öffentlichen Dienst und der Privatwirtschaft N2 - Durch den aktuellen Fachkräftemangel stehen Unternehmen vor der Herausforderung, sich von der Konkurrenz abzuheben und ihre Attraktivität zu steigern, um Mitarbeitende für ihr Unternehmen zu gewinnen. Schließlich stellen diese einen entscheidenden Faktor für den eigenen Unternehmenserfolg dar. Dies wirft die Frage auf, wie intensiv sich Unternehmen mit einer wertschätzenden Unternehmensführung auseinandersetzen und welche Auswirkung diese auf das Commitment, also die Bindung der Mitarbeitenden an ihre Organisation, nehmen. Und gibt es Unterschiede im Commitment je nach Organisationstyp? Da die Zusammenhänge aktuell Forschungslücken aufweisen und durch die Zeiten des Krisenmanagements immer bedeutender werden, ist das Ziel der vorliegenden Arbeit, Wertschätzung in Unternehmen zu differenzieren und den Einfluss der Wertschätzung durch Vorgesetzte auf die drei Komponenten des Commitmens nach Meyer & Allen (1991) sowie auf das organisationale Commitment zu erfassen. Ferner wird der Einfluss des Organisationstypen (öffentlicher Dienst vs. Privatwirtschaft) auf das organisationale Commitment beleuchtet und die entstehende Wechselwirkung mit der Ausprägung der Wertschätzung betrachtet. Hierfür wurde eine Querschnittstudie mit Studienteilnehmenden durchgeführt, die einer*m Vorgesetzten unterstehen und im öffentlichen oder privaten Sektor beschäftigt sind. Es konnte ein Datensatz von N = 178 verzeichnet werden. Die Ergebnisse des ersten gerichteten t-Tests zeigen, dass hohe Werte in der Wertschätzung signifikant mit hohen Werten im affektiven Commitment einhergehen. Gleichzeitig zeigen zwei weitere, ungerichtete t-Tests keine signifikanten Unterschiede hinsichtlich der Ausprägung der Wertschätzung – weder auf das normative noch auf das kalkulatorische Commitment. Ferner wurde eine Varianzanalyse (ANOVA) im 2x2 Design berechnet. Die Ergebnisse zeigen, dass es einen signifikanten Unterschied in der Ausprägung der Wertschätzung hinsichtlich des organisationalen Commitments gibt. Zudem wurde festgestellt, dass die Unterscheidung des Organisationstypen keinen signifikanten Einfluss auf das organisationale Commitment darstellt und dass das organisationale Commitment in den beiden Organisationstypen nicht signifikant von der Ausprägung der Wertschätzung beeinflusst wird. Die Studie setzt an Forschungslücken an und zeigt wichtige Implikationen und Anregungen für zukünftige Studien auf. N2 - Due to the current shortage of skilled workers, companies are faced with the challenge of setting themselves apart from the competition and increasing their attractiveness in order to attract employees to their company. After all, they represent a decisive factor in a company's success. This raises the question of how intensively companies deal with appreciative corporate management and what impact this has on commitment, referring to loyalty of employees to their organization. And are there differences in commitment depending on the type of organization? As there are currently gaps in the research on these relationships and they are becoming increasingly important due to the times of crisis management, the aim of this study is to differentiate appreciation in companies and to record the influence of appreciation by superiors on the three components of commitment according to Meyer & Allen (1991) and on organizational commitment. Furthermore, the influence of the type of organization (public sector vs. private sector) on organizational commitment is examined and the resulting interaction with the level of appreciation is considered. A cross-sectional study was conducted with study participants who report to a manager and are employed in the public or private sector. A data set of N = 178 was recorded. The results of the first directed t-test show that high values in appreciation are significantly associated with high values in affective commitment. At the same time, two further, undirected t-tests show no significant differences in regard to the level of appreciation - neither in normative commitment nor in calculative commitment. In addition, an Analysis of Variance (ANOVA) was calculated in a 2x2 design. The results show there is a significant difference in the level of appreciation with regard to organizational commitment. At the same time, it was found that the distinction between organizational types doesn‘t have a significant influence on organizational commitment and that organizational commitment in the two organizational types isn‘t significantly influenced by the level of appreciation. The study addresses research gaps and highlights important implications and suggestions for future studies. KW - Wertschätzung in Unternehmen KW - organisationales Commitment KW - öffentlicher Dienst KW - Privatwirtschaft Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-19898 ER - TY - THES A1 - Devasurendra, Inura T1 - IMPROVING HOCHSCHULE RHEIN-WAAL CAFETERIA THROUGH LEAN PRACTICES AND MATRIX PROCEDURE FOR LAYOUT PLANNING N2 - Cafeterias, integral to the food and beverage industry, face challenges such as long queues and high waiting times, leading to customer dissatisfaction. While temporary measures like altering food serving strategies or eliminating stations may provide short-term relief, having sustainable solutions necessitates comprehensive layout planning. The thesis aims to propose an optimized cafeteria layout which will reduce the throughput distance and throughput time of the customers, and eventually, suggest recommendations for Hochschule Rhein-Waal Mensa. Through data collection on customer movements and preferences, service times, and waiting periods, the existing layout was analyzed, and it revealed inefficiencies. By applying Lean management tools and the Matrix Procedure, a proposed layout was formulated, aiming to reduce throughput distance and time. Evaluation of both current and proposed layouts showed that out of 52 customers, 69.23% of customers’ throughput distance was reduced, and 59.61% of customers’ throughput time was reduced compared to the existing layout. The thesis concludes by suggesting general recommendations and improvements, including an optimized process diagram and layout, and a proposed spaghetti diagram. Eventually, the research contributes to food and beverage field by providing insights into better layout planning for facility managers, logisticians, and entrepreneurs, offering tangible strategies to enhance cafeteria operations and customer satisfaction. KW - Cafeteria KW - Matrix Procedure KW - Optimization KW - Lean methods KW - Throughput distance KW - Throughput time KW - Layout optimization Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-19976 ER - TY - THES A1 - Turan, Büsra T1 - Islamic Banking and Finance: Supply and Demand in Germany N2 - This paper examines the current landscape of Islamic banking and finance in Germany through two research approaches. The online survey investigated the awareness and perception of consumers, the views on Islamic banks, the social media presence and advertisements of Islamic banks, the usage of consumers, and the demographics of the group. The survey reached 402 participants consisting of Muslims and Non-Muslims, who expressed a moderate demand for Islamic banks. The Internet analysis, focused on search results on Google, identifying the suppliers of Islamic banking and finance products and services within the first ten links. Currently, KT Bank AG is the only Islamic bank operating in Germany. Zinsfrei Investments GmbH and Inaia GmbH provide financial services in the investment sector. Overall, the current landscape shows a moderate demand and a limited supply. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-20284 ER - TY - THES A1 - Feers, Juliana T1 - Job Satisfaction and the Workplace Expectations of Young Professionals N2 - In the context of changing workplace norms and rapidly changing technological environments, this thesis examines the effects of expectations about the workplace on young professionals' career decisions and job satisfaction in Germany. It evaluates the impact of workplace flexibility, corporate culture, and further training opportunities on young professionals through a review of existing literature and a survey conducted by the author. This analysis is guided by theoretical frameworks such as the Person-Environment-Fit Theory, Social Cognitive Career Theory, Job Demand-Resources Model, Boundary Theory, Expectancy Theory of Motivation, and Human Capital Theory, which comprehensively understand the relationship between environmental elements and job satisfaction and career decision-making processes. The findings show that career growth and job satisfaction are significantly increased when there is a strong match between the expectations of young professionals and the realities of their work environments. The study emphasizes how important it is for organizations to modify their approaches to create work environments that encourage young professionals’ career ambitions and satisfaction. This study offers insightful information about efficient organizational strategies that may draw in, fulfill the needs of, and keep young professionals satisfied. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-20300 ER - TY - THES A1 - Maung, Wai Lin T1 - Design, control and development of gas handling unit for hydrogen supply system for a 10kW fuel cell system N2 - Hydrogen fuel cells have been gaining attentions for marine mobility application because of it’s potential as a promising green technology with high energy intensity and reduced weight; Proton Exchange Membrane Fuel cell generates electric power by consuming hydrogen and oxygen as reactants. The fuel cell system consists of multiple sub-systems such as anode gas supply components, cathode air compressors with humidification systems and a cooling circuit. They all must be regulated according to the nominated working conditions of the stack, and one of the most important parameters is the hydrogen supply feed of the fuel cell system. The hydrogen supply system must be robust to handle different working conditions of the stacks such as load fluctuation, purging of water and nitrogen from anode side and subsequent pressure fluctuations. It is critical to control the anode pressure with respect to varying conditions since unbalanced H2 supply can lead to membrane failure, hydrogen starvation and drying out which can lead to deterioration and reduce the lifetime of the stack. The thesis describes the development of “Gas Handling Unit” as the effective hydrogen supply system which will be incorporated with a particle filter, switch off solenoid valve, proportional valve, pressure transmitters and a pressure safety valve for venting during critical conditions. The design and control of the gas handling unit is detailed along with material compatibility of metals and sealants polymers with hydrogen applications. The relevant safety regulations and technical standards are identified and followed during the design process. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-20335 ER - TY - THES A1 - Terlau, Adrian T1 - Prototypische Entwicklung eines Legal Chatbots mit aktuellen Sprachmodellen für eine souveräne Anwendung und Arbeitserleichterung N2 - In dieser Bachelorarbeit wird der Nutzen von Chatbots zur Unterstützung von deutschen Juristen in ihrer beruflichen Tätigkeit überprüft. Hierzu wird zunächst ein prototypischer Chatbot erstellt, der auf einem trainierten Grundlagenmodell aufbaut und durch Fine-Tuning mit einem Datensatz bestehend aus Gesetzestexten angepasst wird. Anschließend werden die Ergebnisse über Tests mit Juristen evaluiert. Es wird gezeigt, wie der Datensatz für das Fine-Tuning erstellt wird, welche Kriterien bei der Wahl des Grundlagenmodells beachtet werden müssen und welche Herausforderungen beim Erstellen eines Sprachmodells auftreten können. Dabei wird insbesondere auf die Auswahl relevanter Gesetzestexte, die Bereinigung und Strukturierung der Daten, sowie die spezifischen Anforderungen für die rechtliche Domäne eingegangen. Das Ergebnis dieser Thesis zeigt, dass der Prototyp bereits einen kleinen Nutzen für die juristische Recherche erzielt hat und einige Juristen diesen bereits im Beruf verwenden würden. Es wird jedoch auch deutlich, dass der Prototyp noch ein großes Verbesserungspotenzial hat und häufig falsche oder unzureichende Antworten erstellt. Dies unterstreicht die Notwendigkeit weiterer Optimierungen und Anpassungen, um die Zuverlässigkeit und Genauigkeit des Chatbots zu erhöhen. Y1 - 2024 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 - Asiedu, Marvin Kwabena T1 - Appreciation in Organizations – the Effects of Appreciation and Social Support on Employee’s Stress and Turnover Intention T1 - Wertschätzung in Organisationen – die Effekte von Wertschätzung und sozialer Unterstützung auf das Stresserleben und die Fluktuationsabsicht von Mitarbeitenden N2 - In der vorliegenden Studie wurde Wertschätzung im Hinblick auf ihren Zusammenhang zu sozialer Unterstützung sowie dem Stresserleben und der Fluktuationsabsicht von Mitarbeiten untersucht. Erwartet wurde eine durch Wertschätzung vermittelte negative Assoziation zwischen sozialer Unterstützung und dem Stresserleben von Mitarbeitenden, und dass Stress den Zusammenhang zwischen Wertschätzung und Fluktuationsabsicht vermittelt. Untersucht wurde außerdem, ob sich die Wertschätzungen aus verschieden Quellen gegenseitig in ihren Effekten auf das Stresserleben beeinflussen. Die Daten zur Analyse wurden mittels eines Online-Fragebogens erhoben. Die Testpersonen wurden aus dem privaten Umfeld des Autors und über eine Online-Plattform rekrutiert. Die Analyse basiert auf Daten von 65 Arbeitnehmern und 118 Arbeitnehmerinnen, von denen 69,4% Vollzeit beschäftigt waren. Wertschätzung hatte einen negativen Effekt auf das Stresserleben und die Fluktuationsabsicht von Mitarbeitenden. Der Effekt auf die Fluktuationsabsicht wurde teils durch das Stresserleben mediiert. Auch soziale Unterstützung hatte einem negativen Effekt aus das Stresserleben, der jedoch durch die Wertschätzung vermittelt wurde. Der stärkste Effekt auf das Stresserleben wurde für die Wertschätzung von Vorgesetzen gemessen, gefolgt von der Wertschätzung durch Kolleg/-innen. Ein Interaktionseffekt auf das Stresserleben fand sich nur für die Wertschätzung durch Vorgesetzte und die durch Klient/-innen. Die Ergebnisse untermauern die Relevanz eines wertschätzenden Verhaltens am Arbeitsplatz, insbesondere des Verhaltens von Vorgesetzten. Wertschätzung erscheint als ein adäquates Mittel gegen Stresserleben und Fluktuation in Organisationen. Eine Möglichkeit Wertschätzung zu zeigen, scheint in Unterstützungsangeboten zu bestehen. Soziale Unterstützung, die keine Wertschätzung kommuniziert, zeigt keinen signifikanten Effekt auf das Stresserleben von Mitarbeitenden. N2 - In this study, appreciation towards employees was examined regarding its connection to social support, stress, and intention to fluctuate. A negative association between social support and the stress of employees mediated by appreciation was expected, along with stress mediating the negative correlation between appreciation and intention to fluctuate. It was also examined whether the appreciation of different sources influence each other in their effects on stress. The analysis data was collected through an online questionnaire. The test subjects were recruited from the author's private environment and an online platform. The analysis is based on data from 65 male and 118 female employees. 69.4% of all employees worked full time. Appreciation had a negative effect on the stress and the fluctuation of employees. The effect on the intention to fluctuate was mediated by stress. Social support also had a negative effect on stress, but it was mediated by the appreciation. The strongest effect on stress was measured for the appreciation of supervisors, followed by the appreciation by coworkers. An interaction effect on stress was only found for the appreciation by superiors and those by clients. The results underline the relevance of an appreciative behavior in the workplace, in particular the behavior of supervisors. Appreciation appears to be an adequate remedy for stress and fluctuation in organizations. One way of showing appreciation seems to be in support offers. Social support that does not communicate appreciation does not show any significant effect on the stress of employees. KW - Wertschätzung KW - Anerkennung KW - Fluktuation KW - Unterstützung KW - Stress Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-20220 ER - TY - THES A1 - Boden, Jan T1 - Aufbau einer Jenkins Pipeline im Rahmen der DevOps Prozesse N2 - Diese Bachelorarbeit befasst sich mit der Implementierung einer Continuous Deployment Pipeline zur Optimierung der Bereitstellung des technischen Unterstützungssystems MESTA in der Justiz Nordrhein-Westfalens. Da derzeit keine Integration der DevOps Kultur existiert, soll die Machbarkeit der Umsetzung einer solchen Pipeline geprüft werden. Der bisher durchgeführte Prozess wurde bisher durch die Verfahrenspflegestelle MESTA/ACUSTA weitgehend manuell bearbeitet. Für die transparente Aufstellung der im Bereitstellungsprozess enthaltenen Arbeitsschritte wurden, zusammen mit der VPS, eine Bestandsaufnahme durchgeführt. Auf Basis dieser wurde ein Konzept entwickelt, um den Prozess zu standardisieren und eine Grundlage für eine effiziente Automatisierung zu realisieren. Anschließend wurde für den Beweis der Machbarkeit dieser Pipeline eine Referenzimplementierung umgesetzt. Dafür wurde im Rechenzentrum der Justiz eine umfangreiche Infrastruktur aufgebaut, die sich aus dem Jenkins Controller, einem Jenkins Agent und einer Gitea Instanz mit zwei enthaltenen Repositories zusammensetzt. Die Pipeline wurde über das CI/CD Tool Jenkinns mittels eines deklarativen Ansatzes und unter Verwendung einer Shared Library realisiert. Aufgrund der Windows-basierten Zielumgebungen wurden innerhalb der Groovy Skripte auch PowerShell Skripte eingesetzt, um Windows spezifische Operationen durchzuführen. Die Evaluation der implementierten Pipeline führt zu dem Ergebnis, das eine signifikante Verkürzung der Arbeitszeit und eine Standardisierung der enthaltenen Prozesse sowie eine erhöhte Transparenz erreicht werden konnte. Dies demonstriert, wie DevOps-Praktiken und Automatisierungen auch in sicherheitskritischen Umgebungen wie der Justiz NRW zur Effizienzsteigerung in der Bereitstellung der Fachverfahren beitragen können. Somit kann die Forschungsfrage bestätigt werden und die in der Arbeit herausgearbeiteten Informationen auch anderen Verfahrenspflegestellen als Vorlage für die Umsetzung von DevOps Praktiken dienen. Y1 - 2024 ER - TY - THES A1 - Akter, Most Sarmin T1 - Data Analysis of the "Loyalty Program-Valeo Specialist Club" to Improve the Independent Aftermarket: Designing an Efficient Marketing Strategy N2 - Nowadays, a loyalty program is one of the most significant marketing tools for winning genuine customer loyalty. Valeo, a global automotive supplier, also offers the Valeo Specialist Club loyalty program and rewards garage or workshop members who only purchase Valeo spare parts. The core intent of this study is to understand the importance of the Valeo loyalty application, members’ insights, and their experiences for improving the future planning, aftermarket performance, and management of the Value Specialist Club. In today’s competitive market, products, services, and customer loyalty are valuable assets, so the program was created to enhance member satisfaction and loyalty with the Value Specialist Club. A mixed-method approach was used to answer the study question and findings, improve member satisfaction, and refine marketing strategies, using a survey as primary data and Qlik Sense as secondary data. Besides, using a survey methodology, the study collected 79 responses from different countries (the United Kingdom, Germany, Belgium, and the Netherlands) and analyzed the data with only 58 Specialist Club member's responses. A reliability examination was additionally accomplished to measure the accuracy of the collected survey data. Qlik Sense, Microsoft 365, and Excel 2016 were used for data analysis and visualization, which involved descriptive analysis, correlation coefficients, and text sentiment analysis. The study results show positive trends in member satisfaction across four markets, but a decreasing engagement rate is noticeable. In general, members from all countries were satisfied with Valeo products and services, contrasting with moderate dissatisfaction with the Valeo Specialist Club app and customer service. The study also found a strong correlation between the Valeo Specialist Club app, loyalty service, and customer service, suggesting improvements to meet member expectations and preferences. Nevertheless, the study also emphasizes the need to enhance the Valeo Specialist Club registration process, loyalty program features, and benefits to align with current trends, foster increased member satisfaction, and sustain loyalty within the independent aftermarket. Furthermore, the conclusions of this study will aid in developing upcoming marketing plans. KW - Loyalty Program KW - Insights KW - Member Loyalty KW - Marketing KW - Valeo Specialist Club 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 - Regmi, Khem Raj T1 - Interactive Visualisation Tool for Teaching Environmental Data: A Guideline of how to set up the tool taking user feedback into account N2 - This thesis will study the creation of an interactive data visualization tool for environmental dataset that concentrates specifically on Nitrate concentrations in groundwater. This project is intended to create a tool for exploratory/experiential learning - one that allows learners to investigate regional data and pursue genuine learning opportunities. The plan is to use regional data in a specific user journey to create this interactive learning experience. The project uses open environmental data: Hygris dataset of LANUV(Landesamt für Natur, Umwelt und Verbraucherschutz) related to the regions Kleve and Wesel in Germany, and realizes this with help of python programming language and python streamlit framework, web development tools and data visualization libraries (pandas , plotly.express, streamlite.components.v1). This study explores tailored visualization strategies that address key challenges such as the inherent complexity of environmental datasets and the need for more engaging and comprehensible educational tools. These strategies include deploying interactive visualizations that allow hands-on data exploration, and temporal visualizations. The role of user feedback in refining educational tools for teaching environmental data is examined, particularly in designing effective visualization techniques like line char, bar chart, bubble chart, pie chart, scatter plot and intensity graph for representing groundwater nitrate concentrations. The impact of different visualization techniques on the understanding and interpretation of open environmental data among educators and students is analyzed, with an emphasis on the spatial distribution of groundwater nitrate concentrations over time. This approach aims to increase user engagement and deepen understanding of environmental data, facilitating a more profound embedding of information within learners' cognitive processes. KW - Interactive data visualization KW - Data representation KW - Environmental data KW - Nitrate concentration KW - Groundwater KW - Open data KW - User feedback KW - Education KW - Data accessibility KW - Data inclusivity KW - Educational tools KW - Digital teaching Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-21594 ER - 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 - Torabizadeh, Mohammad T1 - Evaluating Tool Support for User-Centric Requirements Engineering in Software Development: A Jira-Based Approach N2 - User requirements are important for a successful software development process, yet their effective integration throughout the development lifecycle remains challenging. This study evaluates requirements engineering (RE) tools and addresses the gap in the requirements engineering process and the systematic integration of user requirements into development processes. After literature review and expert evaluations, a framework was established for the evaluation of RE tools across key dimensions. This evaluation revealed significant limitations in requirements management and analysis capabilities. A Jira-based prototype was developed using Atlassian Forge, consisting of an Issue Panel for requirement-to-issue linkage and a Global Page for the rest of the requirement engineering process, with its main goal being to integrate user requirements in the software development lifecycle. Testing with 16 participants proved high satisfaction (mean of 4.382/5) and effectiveness in integrating requirements into development workflows (mean of 4.438/5). The study also provides areas for future improvements, useful for the future work to be done in the field. KW - Usability engineering KW - Requirement engineering KW - Jira KW - User requirements Y1 - 2025 ER - TY - THES A1 - Hadi, Abdul T1 - Impact of Artificial Intelligence on Capital Market Efficiency and Investment Behavior: A Comparative Analysis of Investors in Developed and Emerging Markets N2 - This thesis explores the transformative impact of Artificial Intelligence (AI) on capital market efficiency and investor behavior, with a comparative lens on developed and emerging markets. It investigates how AI technologies—such as machine learning, robo-advisors, and algorithmic trading—are reshaping investment strategies, reducing behavioral biases, and influencing market dynamics. The study integrates theoretical frameworks, including the Efficient Market Hypothesis, Behavioral Finance, and the Adaptive Markets Hypothesis, to contextualize AI’s role in modern finance. A mixed-methods approach combines literature review, empirical analysis, and survey data from Germany, India, and Pakistan to assess regional disparities in AI adoption, trust, and effectiveness. Findings reveal that while AI enhances decision-making and market efficiency, its benefits are unevenly distributed due to infrastructural, regulatory, and digital literacy gaps. German investors exhibit higher trust and adoption rates, leading to more efficient and diversified investment behavior, whereas emerging markets face barriers such as limited access and awareness. The thesis concludes with policy recommendations to foster inclusive AI integration and outlines future research directions to bridge the digital divide in global financial systems Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-22350 ER - TY - THES A1 - Ghosh, Anup Kumar T1 - Analyzing individual chickens' life data to predict egg and growth performance N2 - The 2022 ban on killing male chicks, implemented in Germany and France, tackled ethical problems within egg-laying hen farming. Because of this policy, alternative poultry production methods were created to better meet animal welfare guidelines. To meet this challenge, the University of Bonn launched research into dual-purpose chickens, specifically the British Ixworth breed. Integrating male and female chicken farming offers a new, innovative solution to ethical and sustainability issues in traditional farming by combining egg and meat production. The importance of this research for revolutionizing poultry farming cannot be overstated (Becker et al., 2023). A University of Bonn research team is studying this alternative farming method to determine its productivity and viability. To meet industry needs while prioritizing animal welfare, they evaluate dual-purpose chicken potential by analysing egg (number and weight) and meat (weight) yields. This thesis has four sections, exploring different facets of dual-purpose chickens across four generations via diverse statistical and machine learning methods. First, it examines existing research on various facets of analysing and forecasting individual chicken egg and growth data. It further explores Becker et al.’s 2023 study, “The British Ixworth: individual growth and egg production of a purebred dual-purpose chicken.” Moreover, the linear regression, SVR, KNN, and decision tree models were applied to this data for advanced analysis and prediction. The thesis’s second part details the methodology, including requirements analysis and dataset preparation. This thesis's third section details how data from four generations of chicken life were analysed to predict future egg production and individual chicken growth. Across generations, individual chickens' average body weight and egg weight all showed an increase in the results. Predictions from linear regression and decision tree models show an increase in individual chickens' growth across generations to come. Egg production forecasts were better with the KNN model. This research will use advanced statistical methods and machine learning to model and assess the generational performance of dual-purpose chickens. These tools will forecast future egg and meat production, thus giving key insights to enhance breeding programs. This research aims to optimize dual-purpose chicken production for growth and egg-laying performance. The researchers eagerly anticipate the results, which will help to shape their future poultry farming projects. KW - Dual-purpose chickens KW - British Ixworth KW - Poultry farming KW - Machine learning KW - Statistical analysis KW - Predictive modeling KW - Linear regression KW - K-nearest neighbors (KNN) KW - Support Vector KW - Regression (SVR) KW - Decision tree KW - Sustainable agriculture KW - Generational analysis KW - Chicken growth prediction KW - Egg-laying performance KW - Alternative poultry production Y1 - 2025 ER - TY - THES A1 - Thissen, Erik T1 - Entwicklung eines prototypischen Tools zur Automatisierung der Erstellung von Linked Open Data aus Open Data Datensätzen N2 - Linked Data has become an increasingly important publication format for structured information. This thesis explores the extent to which the conversion of Open Data into Linked Open Data can be automated and identifies the main challenges and sources of error. The creation of a prototypical tool was used to gain insights into these challenges and sources of error during the conversion to Linked Data. These were then analyzed and solutions to these problems created. The resulting tool was evaluated with different Open Data datasets. The results show that it is able to partially automate the process of converting Open Data to Linked Open Data and that it succeeded in eliminating key barriers, like the necessary programming skills, currently needed to create Linked Data. This prototype contributes towards decreasing the barrier of entry to create Linked Data and indicates that further research could lead towards the fully automatic conversion to RDF. KW - Linked Data KW - Open Data KW - Automation KW - Data Processing KW - RDF Y1 - 2025 ER - TY - THES A1 - Olgun, Ismail T1 - Standardisierung der REST-Services in der IT-Landschaft des BLB NRW N2 - Standardisierung der REST-Services in der IT-Landschaft des BLB NRW Y1 - 2025 ER - TY - THES A1 - Elmessiry, Abdalrahman T1 - implementation and investigation of a distributed robotic chess system N2 - This thesis presents and evaluates a distributed robotic system that successfully integrates a native Windows chess engine (Fritz 19) with a containerized ROS2-based robot control system, operating on a single host computer. The architecture is designed to solve the common challenge of bridging disparate operating systems in real-time robotics. Performance analysis over 35 moves demonstrates the architecture’s high reliability, achieving a 100% success rate in the software pipeline from command generation to execution planning. The study quantifies the system’s primary performance bottleneck, showing that the physical robot movement averaged 22.6 seconds, while the underlying communication latency was negligible at 2.89 ms. This highlights a crucial distinction between computational speed and the challenges of physical manipulation. Compared to existing human-robot chess systems, which typically operate within a single OS or rely heavily on computer vision, this work contributes a validated architectural alternative. Its primary contribution is a single-host framework that integrates a native Windows application with a containerized ROS2 system. This provides a robust solution for developers needing to bridge disparate software ecosystems in real-time robotics and establishes a performance baseline demonstrating that such integration is highly efficient. KW - ROS2 KW - Distributed Systems KW - Containerization KW - Chess Robot. Y1 - 2025 ER - TY - THES A1 - Böttcher, Lena T1 - Prototypische Entwicklung einer Low-Code-Anwendung zur Visualisierung statistischer Kennzahlen und Analyse ihrer Aussagekraft für die Finanzverwaltung. N2 - Diese Bachelorarbeit stellt dar, wie statistische Kennzahlen für die Finanzverwaltung möglichst aussagekräftig visualisiert und analysiert werden können, um statistische Eigenschaften großer Datenmengen intuitiv und schnell verständlich nutzbar zu machen. Mit einer Low-Code-Plattform wurde ein Prototyp entwickelt, der diese Anforderungen realisiert und mit geringen Programmierkenntnissen erweitert werden kann. Diese Arbeit nutzt den Design Science Research (DSR)-Ansatz und erläutert ihn. Die Phasen der Demonstration der Nutzung und der Evaluation des Prototyps dieses Ansatzes wurden zusammengefasst. In dieser zeigte sich, dass die visualisierten statistischen Kennzahlen kontextbezogen eine hohe Aussagekraft besitzen können. Eine ganzheitliche Analyse, die auf anwendungsfallbezogenem Datenwissen basiert, bildet die Grundlage für eine fundierte Interpretation. In Zusammenhang mit der Betrachtung und kombinierten Interpretation mehrerer statistischer Kennzahlen können so Fehlinterpretationen vermieden und der Gewinn zusätzlicher Erkenntnisse gefördert werden. Die erzeugten Visualisierungen ermöglichen eine strukturierte Auswertung großer Datenmengen, setzen jedoch teilweise statistische Grundkenntnisse bei den Nutzenden voraus, die diese Ausarbeitung vermittelt. Y1 - 2025 ER - TY - THES A1 - -, Monish Suresh T1 - Buck Converter Control using Gaussian Process Regression N2 - In this bachelor thesis, I investigate the feasibility of Gaussian Process Regression (GPR) (Williams and Rasmussen 2006) in the control of a buck converter (R. W. Erickson and aksimovic 2020). I develop a prototype digital controller for a buck converter, which uses a trained GPR model to predict the PWM duty cycle required to obtain a desired output voltage. I use an Analog Discovery 2 (AD2) (Digilent Inc. n.d.) as an interface between the GPR controller and the buck converter hardware by providing real-time voltage measurements to the controller and generating the PWM signal. I compare the performance of the GPR controller with the TPS629210DRLR Integrated Circuit (IC) (Texas Instruments 2022), which uses an analog control method and serves as the reference performance standard. I compare the performance of the GPR controller and the IC based on their ability to maintain a target voltage during a load change involving an RC load. The results are evaluated based on the voltage regulation accuracy and load voltage settling time. The results show that both controllers are able to set the load voltage within 1% of the target value. However, the GPR controller has a settling time around 3 times longer than the analog controller. The longer settling time is due to latencies from communication with the AD2 and the time required for duty cycle computation. Despite this, the settling time difference is short enough to consider the digital GPR controller competitive to the reference analog control method, especially since the current prototype is not optimized to reduce these latencies. The findings of this thesis highlight both the potential and limitations of the digital control of a buck converter. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-22458 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 -