This HTML5 document contains 45 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n12http://localhost/temp/predkladatel/
n20http://linked.opendata.cz/resource/domain/vavai/projekt/
n14http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n18http://linked.opendata.cz/resource/domain/vavai/subjekt/
n17http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n13http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n6http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n7http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F46747885%3A24410%2F12%3A%230001002%21RIV12-MSM-24410___/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n21http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n4http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F46747885%3A24410%2F12%3A%230001002%21RIV12-MSM-24410___
rdf:type
skos:Concept n17:Vysledek
rdfs:seeAlso
http://trj.sagepub.com/content/81/13.toc
dcterms:description
In this paper, a control chart is introduced for monitoring various defect types occurring on chenille yarns. To implement the control chart, a grey level image of chenille yarn is captured as an image matrix. Image preprocessing is applied and this involves thresholding to a binary image and a morphological opening operation for removing small objects from the image. The height of the pile yarn, measured from the processed images, is selected as the monitored quality characteristic. Since the monitored quality characteristic was highly autocorrelated, a first-order autoregressive AR(1) model was found to be appropriate for modelling the autocorrelation structure. Due to estimation of the AR(1) process parameters, a modified exponentially weighted moving average (EWMA) control chart for residuals is implemented as a tool for monitoring and detecting defects. It is shown that the modified EWMA control chart can be used successfully for monitoring different types of chenille yarn defects. In this paper, a control chart is introduced for monitoring various defect types occurring on chenille yarns. To implement the control chart, a grey level image of chenille yarn is captured as an image matrix. Image preprocessing is applied and this involves thresholding to a binary image and a morphological opening operation for removing small objects from the image. The height of the pile yarn, measured from the processed images, is selected as the monitored quality characteristic. Since the monitored quality characteristic was highly autocorrelated, a first-order autoregressive AR(1) model was found to be appropriate for modelling the autocorrelation structure. Due to estimation of the AR(1) process parameters, a modified exponentially weighted moving average (EWMA) control chart for residuals is implemented as a tool for monitoring and detecting defects. It is shown that the modified EWMA control chart can be used successfully for monitoring different types of chenille yarn defects.
dcterms:title
Monitoring chenille yarn defects using image processing with control charts Monitoring chenille yarn defects using image processing with control charts
skos:prefLabel
Monitoring chenille yarn defects using image processing with control charts Monitoring chenille yarn defects using image processing with control charts
skos:notation
RIV/46747885:24410/12:#0001002!RIV12-MSM-24410___
n17:predkladatel
n18:orjk%3A24410
n3:aktivita
n21:P
n3:aktivity
P(1M06047)
n3:cisloPeriodika
13
n3:dodaniDat
n4:2012
n3:domaciTvurceVysledku
n14:5870534 n14:2713314
n3:druhVysledku
n19:J
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
151613
n3:idVysledku
RIV/46747885:24410/12:#0001002
n3:jazykVysledku
n15:eng
n3:klicovaSlova
Chenille yarn; Exponentially weighted moving average; Control charts; Defect detection
n3:klicoveSlovo
n6:Chenille%20yarn n6:Exponentially%20weighted%20moving%20average n6:Control%20charts n6:Defect%20detection
n3:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n3:kontrolniKodProRIV
[4585ACCDA1D2]
n3:nazevZdroje
TEXTILE RESEARCH JOURNAL
n3:obor
n11:JS
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:projekt
n20:1M06047
n3:rokUplatneniVysledku
n4:2012
n3:svazekPeriodika
81
n3:tvurceVysledku
Tunák, Maroš Bajzík, Vladimír Testik, Murat Caner
n3:wos
000293248700004
s:issn
0040-5175
s:numberOfPages
10
n13:doi
10.1177/0040517511402123
n12:organizacniJednotka
24410