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SandBlocks
Visuelle Programmiersprachen werden heutzutage zugunsten textueller Programmiersprachen nahezu nicht verwendet, obwohl visuelle Programmiersprachen einige Vorteile bieten. Diese reichen von der Vermeidung von Syntaxfehlern, über die Nutzung konkreter domänenspezifischer Notation bis hin zu besserer Lesbarkeit und Wartbarkeit des Programms. Trotzdem greifen professionelle Softwareentwickler nahezu ausschließlich auf textuelle Programmiersprachen zurück. Damit Entwickler diese Vorteile visueller Programmiersprachen nutzen können, aber trotzdem nicht auf die ihnen bekannten textuellen Programmiersprachen verzichten müssen, gibt es die Idee, textuelle und visuelle Programmelemente gemeinsa...
Law in the Twilight
Explores which laws and actors govern the negotiation, interpretation and implementation of peace agreements to settle intra-state conflicts.
An individual-centered approach to visualize people’s opinions and demographic informationc
The noble way to substantiate decisions that affect many people is to ask these people for their opinions. For governments that run whole countries, this means asking all citizens for their views to consider their situations and needs. Organizations such as Africa's Voices Foundation, who want to facilitate communication between decision-makers and citizens of a country, have difficulty mediating between these groups. To enable understanding, statements need to be summarized and visualized. Accomplishing these goals in a way that does justice to the citizens' voices and situations proves challenging. Standard charts do not help this cause as they fail to create empathy for the people behind ...
The Transition of Global Order
This study looks at the underlying foundations of global order, putting aside mainstream institutionalist approaches in showing how China and the US are engaged in an intense process of contestation and renegotiation of an institutionalized order that has long been taken for granted.
Deep learning for computer vision in the art domain
In recent years, computer vision algorithms based on machine learning have seen rapid development. In the past, research mostly focused on solving computer vision problems such as image classification or object detection on images displaying natural scenes. Nowadays other fields such as the field of cultural heritage, where an abundance of data is available, also get into the focus of research. In the line of current research endeavours, we collaborated with the Getty Research Institute which provided us with a challenging dataset, containing images of paintings and drawings. In this technical report, we present the results of the seminar "Deep Learning for Computer Vision". In this seminar,...
Fast Packrat Parsing in a Live Programming Environment
Language developers who design domain-specific languages or new language features need a way to make fast changes to language definitions. Those fast changes require immediate feedback. Also, it should be possible to parse the developed languages quickly to handle extensive sets of code. Parsing expression grammars provides an easy to understand method for language definitions. Packrat parsing is a method to parse grammars of this kind, but this method is unable to handle left-recursion properly. Existing solutions either partially rewrite left-recursive rules and partly forbid them, or use complex extensions to packrat parsing that are hard to understand and cost-intensive. We investigated ...
Compositional Analysis of Probabilistic Timed Graph Transformation Systems
The analysis of behavioral models is of high importance for cyber-physical systems, as the systems often encompass complex behavior based on e.g. concurrent components with mutual exclusion or probabilistic failures on demand. The rule-based formalism of probabilistic timed graph transformation systems is a suitable choice when the models representing states of the system can be understood as graphs and timed and probabilistic behavior is important. However, model checking PTGTSs is limited to systems with rather small state spaces. We present an approach for the analysis of large scale systems modeled as probabilistic timed graph transformation systems by systematically decomposing their st...
Asymmetrische Kriege
Asymmetrische Kriege bilden die größte sicherheitspolitische Herausforderung unserer Zeit. Doch was ist ein asymmetrischer Krieg und wodurch unterscheidet er sich von konventionellen Staatenkriegen? Wie kann er geführt, wie verhindert werden? Felix Wassermann sichtet die jüngere politikwissenschaftliche Asymmetrie-Diskussion und bringt Klarheit in die unübersichtliche Sicherheitslage nach dem Ende des Kalten Krieges. Unter ideengeschichtlichem Rückgriff auf Metaphern und Theorien der Asymmetrie rekonstruiert der Autor den Asymmetrie-Diskurs vom Scheitern der USA im Vietnamkrieg über die Terroranschläge vom 11. September 2001 bis zu den globalen, transnationalen Risiken des 21. Jahrhunderts.
