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Statements

Subject Item
n2:RIV%2F46747885%3A24220%2F09%3A%230001752%21RIV12-MSM-24220___
rdf:type
n13:Vysledek skos:Concept
rdfs:seeAlso
http://digital-library.theiet.org/getabs/servlet/GetabsServlet?prog=normal&id=IEECPS0020090CP550000987000001&idtype=cvips&gifs=yes&ref=no
dcterms:description
In this paper we are presenting behaviour of various encodings and lossless compression methods for data stores of power quality measuring campaigns and the achieved results with different generated and real datasets. The main purpose of this work is to ease the selection of an optimal encoding for a typical power quality data in the measuring device. The most important criteria for selecting of an optimal method are a compression ratio, its stability, reliability and fitness of such algorithm for an embedded platform with limited memory and computational power. The implemented benchmarking system is designed to be modular so that each part of it can be separately modified or completely replaced while still the whole system is delivering comparable results. Our target platforms are a resource limited, micro-controller based devices so the most attention was paid to choose an algorithm performing sufficiently with reasonable requirements. The experiments have been performed on different artificial and real data from our measuring campaigns. In this paper we are presenting behaviour of various encodings and lossless compression methods for data stores of power quality measuring campaigns and the achieved results with different generated and real datasets. The main purpose of this work is to ease the selection of an optimal encoding for a typical power quality data in the measuring device. The most important criteria for selecting of an optimal method are a compression ratio, its stability, reliability and fitness of such algorithm for an embedded platform with limited memory and computational power. The implemented benchmarking system is designed to be modular so that each part of it can be separately modified or completely replaced while still the whole system is delivering comparable results. Our target platforms are a resource limited, micro-controller based devices so the most attention was paid to choose an algorithm performing sufficiently with reasonable requirements. The experiments have been performed on different artificial and real data from our measuring campaigns.
dcterms:title
Loooseless encodings and compression algorithms applied on power quality datasets Loooseless encodings and compression algorithms applied on power quality datasets
skos:prefLabel
Loooseless encodings and compression algorithms applied on power quality datasets Loooseless encodings and compression algorithms applied on power quality datasets
skos:notation
RIV/46747885:24220/09:#0001752!RIV12-MSM-24220___
n3:aktivita
n14:S
n3:aktivity
S
n3:dodaniDat
n12:2012
n3:domaciTvurceVysledku
n16:8104565
n3:druhVysledku
n7:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
324136
n3:idVysledku
RIV/46747885:24220/09:#0001752
n3:jazykVysledku
n5:eng
n3:klicovaSlova
power quality; compression; data formats; prediction; modelling
n3:klicoveSlovo
n9:modelling n9:power%20quality n9:data%20formats n9:compression n9:prediction
n3:kontrolniKodProRIV
[117FC71EA34E]
n3:mistoKonaniAkce
Prague
n3:mistoVydani
Prague
n3:nazevZdroje
20th International Conference and Exhibition on Electricity Distribution (CIRED 2009)
n3:obor
n18:JE
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n12:2009
n3:tvurceVysledku
Bubla, Viktor Tobiška, Tomáš Kraus, Jan
n3:typAkce
n4:WRD
n3:zahajeniAkce
2009-01-01+01:00
s:issn
0537-9989
s:numberOfPages
4
n19:doi
10.1049/cp.2009.1108
n15:hasPublisher
The Institution of Engineering and Technology
n22:isbn
978-1-84919-126-5
n8:organizacniJednotka
24220