TY - THES A1 - Hülshoff, Kristina T1 - Visualisierung klimafreundlicher Baumaßnahmen am Beispiel der Stadt Xanten N2 - Due to anthropogenic climate change, cities need to be restructured. New measures are necessary to achieve climate neutral cities. With the assistance of 3D Programs, concepts against flooding, heat and in favor of mobility transition can be visualized. This thesis will emphasize why it is so relevant to take actions against climate change and will investigate which measures are helpful, especially in cities. In connection, the ideation of measures for the City of Xanten will be presented. Subsequently, the process of chosen Design Style and concepts for various Xanten locations will be explained and displayed. These elaborated concepts can be seen as a thought provoking impulse for at least Xanten, which may be realized in the future. KW - 3D Visualisierung KW - Klimawandel KW - Stadtplanung KW - Xanten Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-18847 ER - TY - THES A1 - Keiffenheim, Jan T1 - Die Produktion von Audiodateien und deren Einbindung in Videospiele N2 - In this paper the production of audio file will be shown with examples, and how these can be put exemplarily into a video game. For this purpose different types of programs will be presented which can produce audio file. To show a small expenditure, affordable or free programs will be used for this paper. After that the paper shows how to exemplarily record and edit music, sound and voice. Finally a game engine will be used to demonstrate the inset and programming of the created audio files. This paper is especially for newcomers (and students) to introduce them to audio and sound design. With the practical instructions in this paper they can start to produce audio files by their own. N2 - In dieser Bachelorarbeit wird anhand von Beispielen die Produktion von Audiodateien gezeigt, und wie diese beispielhaft in ein Videospiel eingefügt werden können. Hierzu werden zunächst die verschiedenen Programmtypen präsentiert, mit denen Audiodateien produziert werden können. Um einen möglichst geringen Kostenaufwand zu zeigen, werden Programme benutzt, die kostenlos oder kostengünstig erworben werden können. Danach wird an Beispielen gezeigt, wie mit den ausgewählten Programmen Stimmen, Geräusche und Musik aufgenommen und bearbeitet werden können. Abschließend wird an einer Spiele-Engine vorgeführt, wie die erstellten Audiodateien ins Spiel eingefügt und einprogrammiert werden. Durch diese Bachelorarbeit sollen vor allem Neueinsteiger (und Studenten) an Audio und Sound Design herangeführt werden, sodass sie mit den praktischen Unterweisungen in dieser Arbeit selbst Audiodateien produzieren können. KW - Audiobearbeitung KW - Kostengünstige Mittel & einfache Methoden KW - Audio Programmierung KW - Musik KW - Geräusche KW - Stimme Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-3494 ER - TY - THES A1 - Prüm, Moritz T1 - Automated Hyperspectral Field Scanner for Vegetation Monitoring N2 - Vegetation monitoring is an important tool in a variety of fields, e.g. precision agriculture and plants’ phenotyping. The system design of existing non-invasive ground based systems is usually not open-source. Therefore, these systems cannot be reliably modified and thus are not suitable to advanced applications, such as prototyping of new sensors. This thesis describes the development of a ground based hyperspectral monitoring system for use in plant science and sensor testing. A well-documented and automated working prototype has been developed and initial tests show promising results. Further work in system modularity and redundancy is needed. KW - Embedded systems KW - Hyperspectral imaging KW - Low-power design KW - System integration KW - Vegetation monitoring Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-2247 ER - TY - THES A1 - Schlossarek, Nina Tangyue T1 - FinTechs in Germany - Current Status and Potential Impact on the Financial System N2 - The development of technologies that created FinTechs have brought new possibilities for customers into life that provide a quick and convenient handling of operations by covering various segments of the financial industry. However, the innovations also implicate drawbacks: Traditional banks may be threatened due to a loss of customers. This thesis evaluates to which extent this case can be measured by executing quantitative research methods as well as qualitative research methods for the purpose of gaining information from a bank’s perspective as well as opinions from customers. The result of this empirical study is that there is a certain correlation between the development of FinTechs and a threat caused by FinTechs although the latter is rather weak. Furthermore, this thesis indicates the knowledge of customers regarding FinTechs and their willingness to face said innovations. KW - FinTech Y1 - 2018 ER - TY - THES A1 - Röchert, Daniel T1 - Workload Prediction using Apache Spark and R in a Mainframe Operating System N2 - This master thesis presents a machine learning approach using the distributed data- processing framework Apache Spark and the programming language R. The aim is to predict the time series of the Appl Percentage (ApplPerc) from the workload manager of the z/OS mainframe system using SMF 72.3 and SMF 70.1 records as input. System Management Facility (SMF) data are binary log files that are used to collect system performance data and information about system behaviour. The SMFs show how Apache Spark can be used for the pre-processing. This includes data collection, data extraction, and data selection. The machine learning algorithms are implemented in R. The input SMF datasets will be split into training and test data, and thereby applied to different machine learning and deep learning models such as random forest regression, recurrent neural network, and k-nearest neighbor regression to predict the ApplPerc. The validation of the prediction models will be proved by using cross-validation techniques to evaluate the best applied parameters for each model and therefore to locate the model with the best performance. The process of data analysis is followed by a data-mining methodology called Cross-Industry Standard Process for Data Mining (CRISP-DM), which outlines the steps involved in performing the analysis. KW - Machine learning KW - Deep learning KW - Prediction KW - Workload management KW - Apache Spark Y1 - 2017 ER - TY - THES A1 - Langer, Sven T1 - Influence of Cryptocurrencies on the Economy: A Potential-Analysis of Bitcoin as an Alternative Currency N2 - “Right now, Bitcoin feels like the Internet before the browser” (Casares, 2020). This quote sums up most of the current thoughts on the phenomenon of a ground-breaking invention from 2008 by Satoshi Nakamoto since a major part of the world’s population is still missing out on sophisticated knowledge about it. Especially in times of digitalization, it is of enormous value to be informed about current developments in technology. This thesis aims to evaluate the future development of money, especially if Bitcoin has the potential to totally replace conventional currencies. Furthermore, the strengths and shortcomings of Bitcoin will be discussed. It also reaches to determine characteristics for a currency’s long-term success and which of those characteristics are fulfilled by Bitcoin. To answer the research question if Bitcoin has the potential to be an alternative currency and to test the developed hypotheses, pertinent literature is reviewed and an empirical study consisting of expert interviews which are examined using a qualitative structured content analysis method, are conducted. Afterwards, the results are critically discussed. The results of this thesis reveal that Bitcoin has the potential to become an alternative currency because it fulfills most of the criteria a currency needs to meet to be successful in the long run. Furthermore, it is evident that Bitcoin still faces vast barriers and needs to overcome enormous obstacles, which shifts the time horizon for becoming a success somewhere in the farther future. Additionally, apart from the development of cryptocurrencies, it is shown that money in general, will flow much more digitally in the short run. Besides that, this thesis offers insights about the promising future of Bitcoin’s underlying core technology, the Blockchain, in various fields of application. KW - Finance KW - Currency KW - Cryptocurrency KW - Bitcoin KW - Blockchain Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-6909 ER - TY - THES A1 - Krawczyk, Adrian T1 - Linux-Simulation als implizites Lernszenario N2 - Linux is an operating system, which is used by a limited number of people. The main idea of this project is to develop a game that not only simulates Linux, but also provides an opportunity to learn various things about the use of this operating system. The game, LinuxSimulationGame, is built with Unity and designed by following the requirements of a focus group. While in development, game tests are used to investigate the current state and quality of the game. Game tests provide feedback to the developer, which can be used to plan further changes. By using mechanics like space, objects, actions, rules and skills the game produces various situations in which a user is able to learn. By memorizing information based on a Linux operating system. Both game tests and interviews have proved an interest in this kind of gameplay. LinuxSimulationGame is a game which could result in an increase of knowledge. This would require further testing. This document describes mechanics and data needed for creation of games like LinuxSimulationGame. KW - Linux KW - Spieleentwicklung KW - Lernen KW - Videospiele KW - Lernszenario Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-8122 ER - TY - THES A1 - Samuel Varghese, Bitty T1 - Development of a Self Learning Agent to control a Gas Network Simulator N2 - Natural gas is an indispensable source of energy for industrial and domestic purposes, hence distribution and trade demands competition. In gas distribution, optimizing is a crucial task involving control decision on the network elements with respect to trader’s demand at the boundary nodes. The application of artificial intelligence is becoming popular in diverse domains, making its role in gas transport networks more and more interesting. The opposite interest of the players in the network is the reason behind the thought of establishing a game analogy here. The agents as players act on the basis of the opponent’s action. Since both agents perform actions from different space, a neural network model is designed for the dispatcher agent to learn to make decisions for active elements based on its experience from the sample gas transport network. Behavior of the network and its elements is depicted using an optimized gas network simulator. The representation of the gas transport network and its state is digitally transformed so that it is able to extract the features by an artificial neural network representing the environment and its rules. With the help of the trained neural network, the dispatcher agent decides the control decisions with less accumulated penalties. The results and findings of the proposed method are subjected to a comparison with the interval halving method. The results of the study will open the door for further research possibilities. KW - Gas transport network simulator KW - Trader agent KW - Dispatcher agent KW - Deep reinforcement learning KW - Interval halving KW - Monte-Carlo tree search Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-8025 ER - TY - THES A1 - Ponten, Marvin T1 - Visualisierung von Kulturgütern am Beispiel der römischen Kaiserthermen in Trier als 3D Modell. N2 - This paper is a summary of the “Kaiserthermen Project'' for the “Landesmuseum Trier” and shows in detail how to convert a 3Ds Max 3D model for usage into an open source program like Blender. It tries to explain the basics of 3D modelling and compares it to the 3D modelling of cultural heritages. It should work as a form of manual to further convert different models into the FBX file format. It also aims to explain the high value of cultural heritage as a 3D model and compares it to the 3D model of the “Trier Kaiserthermen”. It furthermore gives examples and reasons for the usage of 3D models in different fields. It also presents the final 3D renderings and shows how they were created. At the end it explains how the perfect model for scientific research should be and how this project and paper improved this for the “Kaiserthermen”. KW - 3D Model KW - Cultural Heritage KW - Converting to FBX KW - 3D Render Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-15889 ER - TY - THES A1 - Westermann, Beke T1 - Kryptowährung als Alternative zu herkömmlichem Geld – Aus ökologischer Sicht N2 - Seit 2009 das erste Mal der Bitcoin als Open-Source-Software veröffentlicht wurde, sind neue Kryptowährungen stetig dazu gekommen und weiterentwickelt worden. Einige Jahre später folgten Währungen wie Litecoin, Ripple und Ethereum. Inzwischen sind Kryptowährungen im Großteil der Welt legal und gelten in einigen Ländern bereits als offizielles Zahlungsmittel. Betrachtet man die weitere Entwicklung, stellt sich die Frage, ob Kryptowährungen eine funktionierende Alternative zu herkömmlichen Währungen bieten können, und ob diese unter aktuellen ökologischen Bedingungen tragbar wäre. Ziel ist es, die Frage zu beantworten, welche Kriterien Kryptowährungen erfüllen müssten, um weiterhin einen hohen Stellenwert einzunehmen. Es wird eine Literaturrecherche durchgeführt, welche die Funktionsweise und Problematik verschiedener Mining-Konzepte erklärt, und ökologische Daten analysiert. Dabei zeigt sich, dass es Ansätze zu ökologischen Kryptowährungen gibt, die noch in der Entwicklung sind. Kryptowährungen, die diese Aspekte nicht berücksichtigen, werden langfristig als Alternative ökologisch nicht tragbar sein. KW - Kryptowährung KW - Bargeld KW - Ökologie KW - Ökologischer Vergleich Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-16758 ER -