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Heavy metal detection with semiconductor devices based on PLD-prepared chalcogenide glass thin films
(2007)
DNA-hybridization detection using light-addressable potentiometric sensor modified with gold layer
(2014)
Multi-parameter detection for supporting monitoring and control of biogas processes in agriculture
(2014)
Design and implementation aspects of a 3D reconstruction algorithm for the Jülich TierPET system
(1997)
Chemische Sensoren mit Bariumstrontiumtitanat als funktionelle Schicht zur Multiparameterdetektion
(2013)
An application of a scanning light-addressable potentiometric sensor for label-free DNA detection
(2013)
Effectiveness of the edge-based smoothed finite element method applied to soft biological tissues
(2012)
The interest in PET detectors with monolithic block scintillators is growing. In order to obtain high spatial resolutions dedicated positioning algorithms are required. But even an ideal algorithm can only deliver information which is provided by the detector. In this simulation study we investigated the light distribution on one surface of cuboid LSO scintillators of different size. Scintillators with a large aspect ratio (small footprint and large height) showed significant position information only for a minimum interaction depth of the gamma particle. The results allow a quantitative estimate for a useful aspect ratio.
An increasing number of applications target their executions on specific hardware like general purpose Graphics Processing Units. Some Cloud Computing providers offer this specific hardware so that organizations can rent such resources. However, outsourcing the whole application to the Cloud causes avoidable costs if only some parts of the application benefit from the specific expensive hardware. A partial execution of applications in the Cloud is a tradeoff between costs and efficiency. This paper addresses the demand for a consistent framework that allows for a mixture of on- and off-premise calculations by migrating only specific parts to a Cloud. It uses the concept of workflows to present how individual workflow tasks can be migrated to the Cloud whereas the remaining tasks are executed on-premise.