Technische Universität Darmstadt

About: Technische Universität Darmstadt is a education organization based out in Darmstadt, Germany. It is known for research contribution in the topics: Computer science & Context (language use). The organization has 17316 authors who have published 40619 publications receiving 937916 citations. The organization is also known as: Darmstadt University of Technology & University of Darmstadt.

A Versatile Catalyst for the Sonogashira Coupling of Aryl Chlorides

Abstract: Whereasarylbromidesandaryliodidesarewellknowntoundergo this reaction in the presence of suitable catalysts,thereisnoefficientprotocolfortheSonogashiracouplingofalkynes with aryl chlorides, which would be the mostattractive starting materials because of the wide variety ofcheaply available derivatives. There are a few examples ofSonogashirareactionswithalkynesandactivatedarylchlor-ides,

SiOC ceramic with high excess free carbon

Abstract: The correlation between microstructure evolution and increasing processing temperature of a polymer-derived SiOC ceramic with a high volume fraction of free carbon was studied by transmission electron microscopy (TEM). The high carbon content of the SiOC ceramic was achieved by crosslinking the starting precursor polyhydridomethylsiloxane (PHMS) with divinylbenzene (DVB). Focus of the TEM characterization was the evolution of the carbon phase upon pyrolysis at 1000 °C and after additional heat treatment at 1450 °C. Although a continuous structural rearrangement within the bulk SiOC matrix was observed with raising temperature, the sample annealed at 1450 °C remained predominantly amorphous, with the exception of a percolation network of turbostratic carbon and a slight precipitation of nanosized SiC particles. The micro/nanostructure observed in this sample upon thermal treatment at high-temperature suggests a phase separation in small SiO 4 - and SiC 4 -rich regions encapsulated by carbon. This specific phase distribution is consistent with the exceptional thermo-mechanical properties reported for similar high C-content SiOC materials.

Finding Common Ground: A Survey of Capacitive Sensing in Human-Computer Interaction

Abstract: For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices - enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented environments. However, the broad field of capacitive sensing research has become fragmented by different approaches and terminology used across the various domains. This paper strives to unify the field by advocating consistent terminology and proposing a new taxonomy to classify capacitive sensing approaches. Our extensive survey provides an analysis and review of past research and identifies challenges for future work. We aim to create a common understanding within the field of human-computer interaction, for researchers and practitioners alike, and to stimulate and facilitate future research in capacitive sensing.

Evaluating las vegas algorithms: pitfalls and remedies

Abstract: Stochastic search algorithms are among the most sucessful approaches for solving hard combinatorial problems. A large class of stochastic search approaches can be cast into the framework of Las Vegas Algorithms (LVAs). As the run-time behavior of LVAs is characterized by random variables, the detailed knowledge of run-time distributions provides important information for the analysis of these algorithms. In this paper we propose a novel methodology for evaluating the performance of LVAs, based on the identification of empirical run-time distributions. We exemplify our approach by applying it to Stochastic Local Search (SLS) algorithms for the satisfiability problem (SAT) in propositional logic. We point out pitfalls arising from the use of improper empirical methods and discuss the benefits of the proposed methodology for evaluating and comparing LVAs.