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Now showing items 11-20 of 164
Dissertation
Investigation and Elimination of Substructures in Formal Concept Analysis focusing on Boolean Suborders and Subcontexts
(2023)
In the field of Formal Concept Analysis, data is mainly presented in so-called formal contexts, which assign to a set of objects their respective attributes. From those concept lattices can be generated, where the objects are grouped with respect to their common attributes to represent the relationships in the data in a way that enhances the understandability for humans. However, since a concept lattice can be of exponential size compared to its associated formal context, the presented relationships often become hard ...
Dissertation
A Language Ecosystem for Modeling Microservice Architecture
(2022)
The ongoing digital transformation of our economy and society poses significant challenges towards modern software systems. Application areas like Smart Cities and Industry 4.0 set high requirements on software quality attributes like scalability and reliability. At the same time, IT companies face an ever-growing demand in flexibility and continuous improvements of delivery cycles. Microservice Architecture (MSA) is a novel approach to the realization of software architectures that aims to foster their scalability, ...
Dissertation
Trajectory Mapping in Physical and Topical Spaces
(2023)
In this dissertation, two different types of trajectories are investigated. In the engfirst part of this work, we investigate methods for the analysis of physical trajectories. We focus on scenarios, in which signal strengths ofWiFi access points are recorded. In detail, they are recorded through smartphone devices by people moving through a building. By means of theWiFi signal strengths, (physical) trajectories of humans are reconstructed, which reflect the locations visited over time. Accurate localization based ...
Dissertation
Orometry, Intrinsic Dimensionality and Learning: Novel Insights into Network Data
(2023-11)
Today, networks are an integral part of our world. Let it be real-life friendship networks or social connections that are based on social media. In this thesis, we contribute to the understanding of networks by studying networks from three different perspectives. First, we adapt notions and concepts from orometry to metric data and networks to gain novel insights from a local perspective. Specifically, we study measures of local outstandingness and propose concepts to derive small hierarchies from larger networks. ...
Dissertation
Patterns of Practice - Interdisciplinary Negotiation of Cultural Complexity through Practice-Based Methods in Informatics
(2022)
Following the principle of knowing through making, this thesis discusses development and application of a practice-based methodology for construction of digital artefacts within
cultural contexts. It addresses the epistemological diversity and complexity inhering within interdisciplinary projects, suggesting methodological devices able to navigate the variegated disciplinary landscape present within respective development projects. The conceptual pair complexity/complication acts as theoretical point of reference ...
Dissertation
Formal Verification for ALICA Plans
(2021)
Mit der Entwicklung von Wissenschaft und Technik steigen auch die Fähigkeiten autonomer Roboter. Immer mehr und kompliziertere Roboterszenarien werden in vielen Bereichen realisierbar, wie z. B. Mäh-, Ernte- und Lagerroboter. Daher wird die Planung für sie zu einer immer wichtigeren Aufgabe. Da diese Roboter jedoch täglich komplexer werden, ist die Sicherheitszertifizierung ein unvermeidliches Anliegen bei der Entwicklung von mehr autonomen Robotern. Daher ist die Verifizierung der Pläne vor der Verwendung und dem ...
Dissertation
Social Network Mining for Analysis of Social Phenomena
(2019)
In den letzten zehn Jahren wurde eine große Menge an Daten über menschliche Interaktionen verfügbar, die entweder aus sozialen Online-Netzwerken stammen oder von tragbaren Geräten erfasst wurden. Die klassischen Sozialwissenschaften bieten keine Instrumente für die Durchführung datengetriebener Forschung mit solchen Daten. Die computerorientierte Sozialwissenschaft (Computational Social Science) versucht, diese Lücke zu schließen, indem sie Methoden für Data-Mining und maschinelles Lernen zur Nutzung der Daten aus ...
Dissertation
Training in virtuellen Feuerwehreinsätzen
(2022)
Im Zuge des digitalen Wandels und verdeutlicht durch die Corona‑Pandemie, ist allgemein ein steigender Bedarf an E‑Learning Lösungen für Aus‑ und Fortbildungszwecke zu beobachten. So ist auch die Feuerwehr in Deutschland daran interessiert, Präsenzzeiten an Ausbildungszentren effizienter zu gestalten und Freiwilligen Feuerwehren alternative Fortbildungsmöglichkeiten für mangelnde Ressourcen zur Verfügung zu stellen. Serious Games bieten die Möglichkeit Sachverhalte interaktiv sowie mittels Virtuelle Realität (VR) ...
Dissertation
MOCCAA - MObile Cloud Computing AdaptAble
(2019-08)
The primary objective of Mobile Cloud Computing (MCC) is the support of resource-constrained mobile devices by means of Cloud or nearby computing resources. In general, this is achieved by outsourcing or offloading computational intensive tasks of mobile applications. This allows, for instance, to virtually extend the processing power of mobile devices and, indirectly, to save battery life. In case remote resources are not available or the communication link is broken, still a local execution is possible.
The ...
Technischer Report
Model-driven Development of Microservice Architecture: An Experiment on the Quality in Use of a UML- and a DSL-based Approach
(2020-04-15)
Microservice Architecture denotes a software architectural style for service-based software systems whereby business capabilities are encapsulated in autonomously developable and deployable services. To foster a more efficient development it is considered feasible to apply the means of Model-driven Development in order to handle the complexity of such a distributed system and avoid the manual creation of boilerplate code using code generation. In this paper, we present and evaluate two modeling approaches for ...