@misc{Hanafy, type = {Master Thesis}, author = {Hanafy, Ahmed}, title = {API Driven Form Rendering}, school = {Hochschule Rhein-Waal}, abstract = {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.}, language = {en} } @misc{Cremer, type = {Master Thesis}, author = {Cremer, Luca}, title = {Opportunity and Risk. A critical Assessment of the Ethics of Artificial Intelligence}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-18656}, school = {Hochschule Rhein-Waal}, pages = {78}, abstract = {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.}, language = {en} } @masterthesis{Swiderska, type = {Bachelor Thesis}, author = {Swiderska, Julia}, title = {The Impact of Inflation on the German Middle Class}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-19318}, school = {Hochschule Rhein-Waal}, pages = {88}, abstract = {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.}, language = {en} } @masterthesis{Rosa, type = {Bachelor Thesis}, author = {Rosa, Nathalie}, title = {Technische Assistenzsysteme im sonderp{\"a}dagogischen Kontext - Bedarfe, Anforderungen und Barrieren einer deutschen F{\"o}rderschule mit dem Schwerpunkt geistige Entwicklung}, school = {Hochschule Rhein-Waal}, abstract = {Das Ziel dieser Arbeit ist es zu untersuchen, welche Bedarfe, Anforderungen und Barrieren sich f{\"u}r die Implementierung assistiver Technologien in verschiedenen Bereichen des Schulalltags von Sch{\"u}ler*innen mit speziellem F{\"o}rderbedarf im Bereich geistige Entwicklung und das p{\"a}dagogische Personal ergeben. Dar{\"u}ber hinaus soll er{\"o}rtert werden, wie die gewonnenen Erkenntnisse mithilfe von Design-Thinking-Methoden als Grundlage f{\"u}r die zuk{\"u}nftige Entwicklung und Integration der Systeme dienen k{\"o}nnen. Um diese Fragestellung zu beantworten, wurden im Rahmen einer qualitativen Vorstudie in Kooperation mit der B{\"o}nninghardt-F{\"o}rderschule in Alpen, Nordrhein-Westphalen, eine Hospitation sowie Experteninterviews durchgef{\"u}hrt. 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 {\"u}ber die Anforderungen an Assistenzsysteme betont die Relevanz einer konsequenten Umsetzung der UD(L)-Prinzipien sowie die Bereitstellung von Eigenschaften wie Bild- und Symbolunterst{\"u}tzung, Sprachausgabe, Adaptivit{\"a}t, Interaktivit{\"a}t und Simplizit{\"a}t. Besonders hervorzuheben ist die praktische Anwendbarkeit und Barrierefreiheit von mobilen assistiven Alltagstechnologien, wie beispielsweise Tablets. Sie stellen nicht nur eine wirksame Unterst{\"u}tzung im Schulalltag dar, sondern k{\"o}nnen auch dazu beitragen Stigmatisierung und Scham sowohl innerhalb als auch außerhalb der Klassengemeinschaften zu reduzieren. Dar{\"u}ber hinaus wurde die Integration k{\"u}nstlicher Intelligenz als entscheidender Faktor in der Entwicklung moderner assistiver Hilfsmittel betrachtet. F{\"u}r 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 gew{\"a}hrleistet werden.}, language = {de} } @masterthesis{Haas, type = {Bachelor Thesis}, author = {Haas, Alexandra}, title = {Empirische Untersuchung der {\"A}tiologie von subklinischem Wahn in einer gesunden Stichprobe: Der Einfluss von Kindheitstrauma, Theory of Mind F{\"a}higkeiten und einem niedrigen Selbstwert}, school = {Hochschule Rhein-Waal}, abstract = {Hintergrund: Psychotisches Erleben, wie z.B. Wahnerleben und Paranoia, zeigt sich in klinischen sowie in nicht-klinischen Stichproben in unterschiedlichen Auspr{\"a}gungsst{\"a}rken. Der aktuelle Forschungsstand geht davon aus, dass Wahn dimensional in der Allgemeinbev{\"o}lkerung ausgepr{\"a}gt ist und eine hierarchische Struktur aufweist, die von subklinischem Wahn bis hin zu psychotischen St{\"o}rungen reicht. Risikofaktoren wie Kindheitstrauma, Theory of Mind (ToM) Defizite und ein geringer Selbstwert erh{\"o}hen die Wahrscheinlichkeit f{\"u}r wahnhaftes Erleben. Um ein besseres Verst{\"a}ndnis der {\"A}tiologie 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 Allgemeinbev{\"o}lkerung in Bezug auf subklinisches Wahnerleben. Mittels Frageb{\"o}gen und computergest{\"u}tzter neuropsychologischer Tests wurde subklinischer Wahn, Kindheitstrauma, ToM-F{\"a}higkeiten und der Selbstwert der Proband*innen erfasst. Mehrere statistische Verfahren, wie eine Hauptkomponentenanalyse sowie Korrelations-, Regressions- und Mediationsanalysen wurden genutzt, um die Zusammenh{\"a}nge, Varianzaufkl{\"a}rungen und die pr{\"a}diktive G{\"u}te 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 Zusammenh{\"a}nge zwischen subklinischem Wahn und ToM-F{\"a}higkeiten sowie mit Selbstwert gefunden werden. Die Ergebnisse der Regressionsanalyse unterstreichen die pr{\"a}diktive G{\"u}te von Kindheitstrauma und geringem Selbstwert f{\"u}r subklinischen Wahn. Dar{\"u}ber hinaus zeigt die parallele Mediationsanalyse, dass Selbstwert ein signifikanter Mediator f{\"u}r die Beziehung zwischen Kindheitstrauma und subklinischem Wahn ist. Zusammenfassung: Die Ergebnisse tragen zu einem besseren Verst{\"a}ndnis der {\"A}tiologie von subklinischem Wahn bei, indem sie den Einfluss von Kindheitstrauma, ToM-Defiziten und geringem Selbstwert in einer gesunden Stichprobe aufzeigen. Da wahnhaftes Erleben zu Einschr{\"a}nkungen im privaten, famili{\"a}ren und beruflichen Kontext f{\"u}hren kann, ist es von großer Bedeutung, pr{\"a}ventive Maßnahmen, wie z.B. selbstwertsteigernde Angebote, f{\"u}r die Allgemeinbev{\"o}lkerung zug{\"a}nglich zu machen. Diese sollen der weiteren Ausbildung von klinisch relevantem Wahn entgegenwirken.}, language = {de} } @misc{Gurung, type = {Master Thesis}, author = {Gurung, Purnima}, title = {Sentiment Analysis in Nepali Tweets: Leveraging TransformerBased Pre-trained Models}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-19677}, school = {Hochschule Rhein-Waal}, abstract = {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.}, language = {en} } @masterthesis{Skaf, type = {Bachelor Thesis}, author = {Skaf, Leen}, title = {Living Green Walls in the Workplace: Evaluating the Impact on Employee Well-being, Productivity, and Indoor Environmental Quality}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-19696}, school = {Hochschule Rhein-Waal}, pages = {84}, abstract = {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.}, language = {en} } @misc{Wissigkeit, type = {Master Thesis}, author = {Wissigkeit, Tobias}, title = {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.}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-19710}, school = {Hochschule Rhein-Waal}, pages = {51}, abstract = {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.}, language = {en} } @masterthesis{Khatiwada, type = {Bachelor Thesis}, author = {Khatiwada, Sabin}, title = {AUTOMATION OF SOLAR WATER DISINFECTION (SODIS) ON A SMALL-SCALE USING ARDUINO DUE}, school = {Hochschule Rhein-Waal}, abstract = {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.}, language = {en} } @masterthesis{Kottek, type = {Bachelor Thesis}, author = {Kottek, Nick}, title = {Echtzeit-Erkennung von Gesten des deutschen Fingeralphabets mithilfe eines Convolutional Neural Networks}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-19768}, school = {Hochschule Rhein-Waal}, pages = {58}, abstract = {Sign language is an important factor in the integration of deaf and hard of hearing people into society. Due to the limited number of people who speak sign language, there is a communication barrier that needs to be addressed. In recent years, sign language has been an important field of research. There have been numerous attempts at trying to find a solution to this problem. This thesis focuses on the German finger alphabet, which has not been researched as much. It examines whether it is possible to recognize the gestures of the German finger alphabet in real time with a convolutional neural network. For that, literature is consulted, and a prototype is developed. The prototype includes a newly created dataset with 2,500 images distributed over 25 gestures, a convolutional neural network, and software for real-time translation of a video stream. The prototype demonstrates the feasibility of realizing such a task. The convolutional neural network achieves an accuracy of 99.61\%. On a powerful desktop computer, the prediction of a single frame takes between 36 and 40 ms. However, there are some limitations and restrictions to the quality of prediction caused by factors such as lighting and background. Additionally, certain similar gestures, such as M and N, are difficult to distinguish. Based on these results, ideas and suggestions for future studies are presented.}, language = {de} } @masterthesis{Gedikoglu, type = {Bachelor Thesis}, author = {Gedikoglu, Furkan}, title = {Versuchsorientierte Analyse von Federated Learning und Centralized Machine Learning-Methoden zur Bildklassifizierung unter besonderer Ber{\"u}cksichtigung von Datenschutz, Effizienz und Effektivit{\"a}t}, school = {Hochschule Rhein-Waal}, abstract = {Die vorliegende Arbeit befasst sich mit der Untersuchung der Effektivit{\"a}t und Effizienz von verteiltem Fine-Tuning auf Endger{\"a}ten im Vergleich zu zentralisiertem, cloudbasiertem Machine Learning. Zu diesem Zweck wurden Experimente sowohl mit Federated Learning als auch mit Centralized Machine Learning durchgef{\"u}hrt. 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 durchgef{\"u}hrt. Die Ergebnisse zeigen, dass der zentralisierte Ansatz im Allgemeinen eine h{\"o}here Modellgenauigkeit erreicht, w{\"a}hrend 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.}, language = {de} } @masterthesis{Plueckelmann, type = {Bachelor Thesis}, author = {Pl{\"u}ckelmann, Rene}, title = {Entwicklung und Validierung einer Metrik zur Bewertung der Ergonomie mobiler Anwendungen unter Ber{\"u}cksichtigung von herstellerspezifischen Designrichtlinien}, school = {Hochschule Rhein-Waal}, language = {de} } @masterthesis{Engeln, type = {Bachelor Thesis}, author = {Engeln, Felix}, title = {Verbesserung der Nutzbarkeit von Open Data-Portalen: Analyse, Schwachstellenidentifikation und Prototypentwicklung}, school = {Hochschule Rhein-Waal}, abstract = {Diese Arbeit untersucht die Verbesserung der Benutzerfreundlichkeit von Open Data-Portalen durch nutzerzentrierte Designans{\"a}tze. 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 Interaktionsm{\"o}glichkeiten, die eine Gemeinschaft rund um die Daten f{\"o}rdern und die Datenqualit{\"a}t durch Nutzerfeedback steigern. Die Evaluierungsergebnisse zeigen eine deutliche Zufriedenheitssteigerung der Nutzenden, was das Potenzial dieser Ans{\"a}tze unterstreicht. Die Arbeit bildet eine Grundlage f{\"u}r die kontinuierliche Entwicklung und Forschung im Bereich Open Data, um deren Nutzbarkeit und den demokratischen Nutzen zu maximieren.}, language = {de} } @masterthesis{Daniel, type = {Bachelor Thesis}, author = {Daniel, Bernwald}, title = {Analyse der Entwicklung von Virtualisierung zu Containerisierung der IT-Infrastruktur in der {\"o}ffentlichen Verwaltung unter besonderer Ber{\"u}cksichtigung von Cybersicherheit und Gesch{\"a}ftskontinuit{\"a}t}, school = {Hochschule Rhein-Waal}, abstract = {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.}, language = {de} } @misc{Shrestha, type = {Master Thesis}, author = {Shrestha, Sabita}, title = {Named Entity Recognition for Nepali Text Using Pre-Trained BERT-Based Model}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-19870}, school = {Hochschule Rhein-Waal}, abstract = {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}, language = {en} } @masterthesis{Luitjens, type = {Bachelor Thesis}, author = {Luitjens, Kim Jana}, title = {Auswirkung von Wertsch{\"a}tzung auf das organisationale Commitment mit der Unterscheidung zwischen dem {\"o}ffentlichen Dienst und der Privatwirtschaft}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-19898}, school = {Hochschule Rhein-Waal}, pages = {80}, abstract = {Durch den aktuellen Fachkr{\"a}ftemangel stehen Unternehmen vor der Herausforderung, sich von der Konkurrenz abzuheben und ihre Attraktivit{\"a}t zu steigern, um Mitarbeitende f{\"u}r ihr Unternehmen zu gewinnen. Schließlich stellen diese einen entscheidenden Faktor f{\"u}r den eigenen Unternehmenserfolg dar. Dies wirft die Frage auf, wie intensiv sich Unternehmen mit einer wertsch{\"a}tzenden Unternehmensf{\"u}hrung 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 Zusammenh{\"a}nge aktuell Forschungsl{\"u}cken aufweisen und durch die Zeiten des Krisenmanagements immer bedeutender werden, ist das Ziel der vorliegenden Arbeit, Wertsch{\"a}tzung in Unternehmen zu differenzieren und den Einfluss der Wertsch{\"a}tzung 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 ({\"o}ffentlicher Dienst vs. Privatwirtschaft) auf das organisationale Commitment beleuchtet und die entstehende Wechselwirkung mit der Auspr{\"a}gung der Wertsch{\"a}tzung betrachtet. Hierf{\"u}r wurde eine Querschnittstudie mit Studienteilnehmenden durchgef{\"u}hrt, die einer*m Vorgesetzten unterstehen und im {\"o}ffentlichen oder privaten Sektor besch{\"a}ftigt sind. Es konnte ein Datensatz von N = 178 verzeichnet werden. Die Ergebnisse des ersten gerichteten t-Tests zeigen, dass hohe Werte in der Wertsch{\"a}tzung signifikant mit hohen Werten im affektiven Commitment einhergehen. Gleichzeitig zeigen zwei weitere, ungerichtete t-Tests keine signifikanten Unterschiede hinsichtlich der Auspr{\"a}gung der Wertsch{\"a}tzung - 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 Auspr{\"a}gung der Wertsch{\"a}tzung 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 Auspr{\"a}gung der Wertsch{\"a}tzung beeinflusst wird. Die Studie setzt an Forschungsl{\"u}cken an und zeigt wichtige Implikationen und Anregungen f{\"u}r zuk{\"u}nftige Studien auf.}, language = {de} } @masterthesis{Devasurendra, type = {Bachelor Thesis}, author = {Devasurendra, Inura}, title = {IMPROVING HOCHSCHULE RHEIN-WAAL CAFETERIA THROUGH LEAN PRACTICES AND MATRIX PROCEDURE FOR LAYOUT PLANNING}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-19976}, school = {Hochschule Rhein-Waal}, pages = {91}, abstract = {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.}, language = {en} } @masterthesis{Turan, type = {Bachelor Thesis}, author = {Turan, B{\"u}sra}, title = {Islamic Banking and Finance: Supply and Demand in Germany}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-20284}, school = {Hochschule Rhein-Waal}, pages = {60}, abstract = {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.}, language = {en} } @masterthesis{Feers, type = {Bachelor Thesis}, author = {Feers, Juliana}, title = {Job Satisfaction and the Workplace Expectations of Young Professionals}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-20300}, school = {Hochschule Rhein-Waal}, pages = {77}, abstract = {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.}, language = {en} } @masterthesis{Maung, type = {Bachelor Thesis}, author = {Maung, Wai Lin}, title = {Design, control and development of gas handling unit for hydrogen supply system for a 10kW fuel cell system}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-20335}, school = {Hochschule Rhein-Waal}, abstract = {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.}, language = {en} }