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Dissertation
A User-Centric Perspective on Parallel Programming with Focus on OpenMP
(2008-01-16)
The process of developing software that takes advantage of multiple processors is commonly referred to as parallel programming. For various reasons, this process is much harder than the sequential case. For decades, parallel programming has been a problem for a small niche only: engineers working on parallelizing mostly numerical applications in High Performance Computing. This has changed with the advent of multi-core processors in mainstream computer architectures. Parallel programming in our days becomes a problem ...
Dissertation
Dynamic Injection of Scribble Features into Graphical Diagram Editors
(2015-05-20)
Almost everyone sketches. People use sketches day in and day out in many different and heterogeneous fields, to share their thoughts and clarify ambiguous interpretations, for example. The media used to sketch varies from analog tools like flipcharts to digital tools like smartboards. Whereas analog tools are usually affected by insufficient editing capabilities like cut/copy/paste, digital tools greatly support these scenarios. Digital tools can be grouped into informal and formal tools. Informal tools can be ...
Dissertation
An algorithmic approach for collaborative-based prediction of user contexts in ubiquitous environments under consideration of legal implications
(2014-02-19)
Mit Hilfe der Vorhersage von Kontexten können z. B. Dienste innerhalb einer ubiquitären Umgebung proaktiv an die Bedürfnisse der Nutzer angepasst werden. Aus diesem Grund hat die Kontextvorhersage einen signifikanten Stellenwert innerhalb des ’ubiquitous computing’. Nach unserem besten Wissen, verwenden gängige Ansätze in der Kontextvorhersage ausschließlich die Kontexthistorie des Nutzers als Datenbasis, dessen Kontexte vorhersagt werden sollen. Im Falle, dass ein Nutzer unerwartet seine gewohnte Verhaltensweise ...
Dissertation
Dynamische Konfiguration verteilter Informationsverarbeitung in Gruppen heterogener Agenten
(2018-03-22)
Das erfolgreiche Agieren von Multiagentensystemen (MAS) setzt eine umfangreiche und hochwertige Wissensbasis voraus. Die Wissensbasis umfasst die von einem Agenten benötigten Informationen, welche durch die Verarbeitung von Sensorinformationen erzeugt werden. Die Anpassung der Informationsverarbeitung an die Einsatzdomäne ermöglicht es, die Qualität der Wissensbasis zu gewährleisten und so die Leistung des MAS zu steigern. Aktuelle Middleware-Systeme unterstützen die Integration von gängigen Methoden und Verfahren ...
Dissertation
Self-Healing in Autonomous Robot Teams
(2017-05-24)
Today, robots are used in nearly every type of automated manufacturing and assembly process. Robot installations typically apply static actuator systems in clearly structured environments. These systems show impressive abilities in speed and accuracy for repetitive manipulation tasks. Future automation applications, however, require an increasing level of flexibility, where classical systems reach their physical limits. As a reaction, robots become mobile, intelligent and cooperative. These new characteristics, ...
Dissertation
Decision Making for Teams of Mobile Robots
(2016-11-02)
In the past years, we could observe a significant amount of new robotic systems in science, industry, and everyday life. To reduce the complexity of these systems, the industry constructs robots that are designated for the execution of a specific task such as vacuum cleaning, autonomous driving, observation, or transportation operations. As a result, such robotic systems need to combine their capabilities to accomplish complex tasks that exceed the abilities of individual robots. However, to achieve emergent cooperative ...
Aufsatz
Hierarchies of conceptual scales
(1999)
Formal Concept Analysis allows to derive conceptual hierarchies from data tables. Formal Concept Analysis is applied in various domains, e.g., data analysis, information retrieval, and knowledge discovery in databases. In order to deal with increasing sizes of the data tables (and to allow more complex data structures than just binary attributes), conceputal scales habe been developed. They are considered as metadata which structure the data conceptually. But in large applications, the number of conceptual scales ...
Preprint
Efficient data mining based on formal concept analysis
(2002)
Formal Concept Analysis is an unsupervised learning technique for conceptual clustering. We introduce the notion of iceberg concept lattices and show their use in Knowledge Discovery in Databases (KDD). Iceberg lattices are designed for analyzing very large databases. In particular they serve as a condensed representation of frequent patterns as known from association rule mining. In order to show the interplay between Formal Concept Analysis and association rule mining, we discuss the algorithm TITANIC. We show that ...