Conference Proceeding
Refine
Year of publication
- 2024 (9)
- 2023 (35)
- 2022 (46)
- 2021 (48)
- 2020 (46)
- 2019 (74)
- 2018 (64)
- 2017 (66)
- 2016 (66)
- 2015 (71)
- 2014 (51)
- 2013 (57)
- 2012 (59)
- 2011 (44)
- 2010 (48)
- 2009 (53)
- 2008 (37)
- 2007 (44)
- 2006 (60)
- 2005 (23)
- 2004 (22)
- 2003 (22)
- 2002 (25)
- 2001 (12)
- 2000 (12)
- 1999 (7)
- 1998 (8)
- 1997 (8)
- 1996 (4)
- 1995 (4)
- 1993 (6)
- 1992 (3)
- 1991 (2)
- 1990 (1)
- 1989 (3)
- 1988 (3)
- 1986 (1)
- 1985 (2)
- 1984 (3)
- 1983 (2)
- 1981 (2)
- 1980 (1)
- 1979 (1)
- 1978 (3)
- 1975 (2)
- 1973 (2)
Institute
- Fachbereich Elektrotechnik und Informationstechnik (234)
- Fachbereich Medizintechnik und Technomathematik (210)
- Fachbereich Luft- und Raumfahrttechnik (183)
- Fachbereich Energietechnik (177)
- IfB - Institut für Bioengineering (148)
- Solar-Institut Jülich (110)
- Fachbereich Maschinenbau und Mechatronik (107)
- Fachbereich Bauingenieurwesen (75)
- ECSM European Center for Sustainable Mobility (52)
- Fachbereich Wirtschaftswissenschaften (51)
Language
- English (1162) (remove)
Document Type
- Conference Proceeding (1162) (remove)
Keywords
- Biosensor (25)
- CAD (7)
- Finite-Elemente-Methode (7)
- civil engineering (7)
- Bauingenieurwesen (6)
- Blitzschutz (6)
- Enterprise Architecture (5)
- Clusterion (4)
- Energy storage (4)
- Gamification (4)
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.
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.