Refine
Year of publication
- 2012 (57) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (17)
- Solar-Institut Jülich (9)
- IfB - Institut für Bioengineering (8)
- Fachbereich Bauingenieurwesen (7)
- Fachbereich Elektrotechnik und Informationstechnik (6)
- Fachbereich Maschinenbau und Mechatronik (6)
- Fachbereich Wirtschaftswissenschaften (5)
- INB - Institut für Nano- und Biotechnologien (5)
- Fachbereich Luft- und Raumfahrttechnik (3)
- Fachbereich Energietechnik (2)
Has Fulltext
- no (57) (remove)
Language
- English (57) (remove)
Document Type
- Conference Proceeding (57) (remove)
Keywords
Leveraging Social Network Data for Analytical CRM Strategies - The Introduction of Social BI.
(2012)
Assessment of RF Safety of Transmit Coils at 7 Tesla by Experimental and Numerical Procedures (490.)
(2012)
Enceladus explorer - A maneuverable subsurface probe for autonomous navigation through deep ice
(2012)
Sensitivity of phase detection techniques in aerated chute flows to hydraulic design parameters
(2012)
This article describes the functionality of a MATLAB® library that can be used to develop motion-logic applications in MATLAB programming language for industrial drive and control systems using the well known sercos automation bus. Therewith MATLAB's functionality is extended to designing automation applications from single axis machines up to multi-kinematic robots.
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.
The Volatility Framework is a collection of tools for the analysis of computer RAM. The framework offers a multitude of analysis options and is used by many investigators worldwide. Volatility currently comes with a command line interface only, which might be a hinderer for some investigators to use the tool. In this paper we present a GUI and extensions for the Volatility Framework, which on the one hand simplify the usage of the tool and on the other hand offer additional functionality like storage of results in a database, shortcuts for long Volatility Framework command sequences, and entirely new commands based on correlation of data stored in the database.