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Demonstrating improved application performance using dynamic monitoring and task mapping

contributor authorBrandt, J.
contributor authorDevine, K.
contributor authorGentile, A.
contributor authorPedretti, K.
date accessioned2020-03-12T21:58:39Z
date available2020-03-12T21:58:39Z
date issued2014
identifier other6968670.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1067129?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleDemonstrating improved application performance using dynamic monitoring and task mapping
typeConference Paper
contenttypeMetadata Only
identifier padid8201602
subject keywordsasynchronous generators
subject keywordsn power grids
subject keywordsn virtual instrumentation
subject keywordsn wind power plants
subject keywordsn LabVIEW
subject keywordsn induction generator
subject keywordsn induction machine
subject keywordsn island mode
subject keywordsn off-grid
subject keywordsn small-scale wind power
subject keywordsn wind power generation systems
subject keywordsn Capacitors
subject keywordsn Current measurement
subject keywordsn Induction generators
subject keywordsn Induction motors
subject keywordsn Power systems
subject keywordsn Wind power generation
subject keywordsn LabVIEW
subject keywordsn induction generator
subject keywordsn off-grid
subject keywordsn optimal operation
identifier doi10.1109/EPE.2014.6839502
journal titleluster Computing (CLUSTER), 2014 IEEE International Conference on
filesize1041809
citations0


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