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Statements

Subject Item
n2:RIV%2F46747885%3A24220%2F08%3A%230001753%21RIV12-MSM-24220___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
In this paper we present capabilities of selected looseless compression methods for application in embedded performance measuring and monitoring devices. Several variations of entropy and dictionary encoders are bench marked on artificially generated data sets with given and controlled distribution. We are using simulated measures of quantities that are typically used for evaluation of power quality in a three phase low voltage network Main selecting factor of used compression methods is it's fitness for a memory limited and relatively low performing micro-controller Speed and compression ratio is evaluated for each algorithm in relation to different parameters of pre-generated data sets - its size, chosen data input encoding, ordering of values and fluctuation (entropy) of each simulated value. Optimal combination of compression algorithm and data format is presented for an ongoing implementation of a real power quality meter In this paper we present capabilities of selected looseless compression methods for application in embedded performance measuring and monitoring devices. Several variations of entropy and dictionary encoders are bench marked on artificially generated data sets with given and controlled distribution. We are using simulated measures of quantities that are typically used for evaluation of power quality in a three phase low voltage network Main selecting factor of used compression methods is it's fitness for a memory limited and relatively low performing micro-controller Speed and compression ratio is evaluated for each algorithm in relation to different parameters of pre-generated data sets - its size, chosen data input encoding, ordering of values and fluctuation (entropy) of each simulated value. Optimal combination of compression algorithm and data format is presented for an ongoing implementation of a real power quality meter
dcterms:title
Optimal Methods for Data Storage in Performance Measuring and Monitoring Devices Optimal Methods for Data Storage in Performance Measuring and Monitoring Devices
skos:prefLabel
Optimal Methods for Data Storage in Performance Measuring and Monitoring Devices Optimal Methods for Data Storage in Performance Measuring and Monitoring Devices
skos:notation
RIV/46747885:24220/08:#0001753!RIV12-MSM-24220___
n4:aktivita
n11:S
n4:aktivity
S
n4:dodaniDat
n15:2012
n4:domaciTvurceVysledku
n9:8104565
n4:druhVysledku
n16:D
n4:duvernostUdaju
n18:S
n4:entitaPredkladatele
n19:predkladatel
n4:idSjednocenehoVysledku
385073
n4:idVysledku
RIV/46747885:24220/08:#0001753
n4:jazykVysledku
n17:eng
n4:klicovaSlova
compression; power quality; energy efficiency
n4:klicoveSlovo
n6:energy%20efficiency n6:power%20quality n6:compression
n4:kontrolniKodProRIV
[171FD5E236BF]
n4:mistoKonaniAkce
Brno
n4:mistoVydani
Brno
n4:nazevZdroje
EPE: PROCEEDINGS OF THE 9TH INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRIC POWER ENGINEERING 2008
n4:obor
n13:JE
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
2
n4:rokUplatneniVysledku
n15:2008
n4:tvurceVysledku
Kraus, Jan
n4:typAkce
n5:WRD
n4:zahajeniAkce
2008-01-01+01:00
s:numberOfPages
3
n10:hasPublisher
BRNO UNIV TECHNOLOGY, FEEC, DEPT ELECTRICAL POWER ENGINEERING, DEPT POWER ELECTRICAL & ELECTRONIC ENGINEERING, TECHNICKA 8, BRNO 616 00, CZECH REPUBLIC
n20:isbn
978-80-214-3650-3
n7:organizacniJednotka
24220