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Participatory sensing based optimization of environmental parameters using the example of energy saving in residential environments

Author:
Englert, F.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/DCAS.2014.6965333
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/988975
Keyword(s): graphics processing units,sampling methods,timing,GPU,all-software-based resampling method,arbitrary resampling method,graphics processing units,low-complexity low-latency arbitrary resampler,system clock,Arrays,Clocks,Graphics processing units,Indexes,Interpolation,Multiaccess communication,Spread spectrum communication,Arbitrary resampling,DSP accelerator,GPU front-end receiver,GPU-based radio,sample rate conversion
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    Participatory sensing based optimization of environmental parameters using the example of energy saving in residential environments

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contributor authorEnglert, F.
date accessioned2020-03-12T19:45:32Z
date available2020-03-12T19:45:32Z
date issued2014
identifier other6815192.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/988975
formatgeneral
languageEnglish
publisherIEEE
titleParticipatory sensing based optimization of environmental parameters using the example of energy saving in residential environments
typeConference Paper
contenttypeMetadata Only
identifier padid8105190
subject keywordsgraphics processing units
subject keywordssampling methods
subject keywordstiming
subject keywordsGPU
subject keywordsall-software-based resampling method
subject keywordsarbitrary resampling method
subject keywordsgraphics processing units
subject keywordslow-complexity low-latency arbitrary resampler
subject keywordssystem clock
subject keywordsArrays
subject keywordsClocks
subject keywordsGraphics processing units
subject keywordsIndexes
subject keywordsInterpolation
subject keywordsMultiaccess communication
subject keywordsSpread spectrum communication
subject keywordsArbitrary resampling
subject keywordsDSP accelerator
subject keywordsGPU front-end receiver
subject keywordsGPU-based radio
subject keywordssample rate conversion
identifier doi10.1109/DCAS.2014.6965333
journal titleervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conferen
filesize46394
citations0
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