In principle, unstructured mesh CFD codes can be parallelised using a mesh decomposition approach similar to structured mesh codes. However, for unstructured codes the mesh structure is problem dependent and algorithms for automatically decomposing the mesh onto the processors are required. An algorithm based upon a recursive clustering technique, for decomposing meshes into an arbitrary number...

The rise of robotic applications has led to the generation of a huge volume of unstructured data, whereas the current cloud infrastructure was designed to process limited amounts of structured data. To address this problem, we propose a learn-memorize-recall-reduce paradigm for robotic cloud computing. The learning stage converts incoming unstructured data into structured data; the memorization...

In this article, a Lyapunov-based control concept is presented combining variable structure and adaptive control. The considered system class comprises single-input systems which are affected by structured and unstructured uncertainties. The design is based on a Lyapunov function for the super-twisting algorithm. This Lyapunov function is exploited to derive the adaptive part of the proposed co...

Working memory (WM) performance in humans can be improved by structuring and organizing the material to be remembered. For visual and verbal information, this process of structuring has been associated with the involvement of a prefrontal-parietal network, but for non-verbal auditory material, the brain areas that facilitate WM for structured information have remained elusive. Using functional ...

OBJECTIVE To examine protocol fidelity among teachers involved in a six-month cluster-randomized physical activity (PA) intervention. METHODS In 2011, preschools in Springfield, MA were randomized to short bouts of structured PA (SBS-PA, n=5) or unstructured playtime (UPA, n=5). SBS-PA provided structured PA in the classroom during the first 10 min of gross-motor playtime followed by 20 min o...

Enormous amounts of biomedical data have been and are being produced by investigators all over the world. However, one crucial and limiting factor in data reuse is accurate, structured and complete description of the data or data about the data-defined as metadata. We propose a framework to predict structured metadata terms from unstructured metadata for improving quality and quantity of metada...