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Statements

Subject Item
n2:RIV%2F46747885%3A24410%2F02%3A00000133%21RIV%2F2003%2FGA0%2F244103%2FN
rdf:type
skos:Concept n12:Vysledek
dcterms:description
The contours of textile fibers cross-sections have as a rule the shape of deformed circle. Unfolded contours can then be described as a smooth periodical curve contaminated with local nonregularities, and can therefore be analyzed with the aid of the statistical regression model. The present paper applies such an approach to the comparison of shapes of cross-sections for several types of carbon fibers. The corresponding regression curve is constructed as the combination of trigonometric functions, its complexity is optimized by methods of math. statistics. It is also shown, by random sampling, that the parameters of the model correspond to different deformations of circular contour. On this basis, the method is proposed for the discrimination between the heat-treated and untreated fibers. The contours of textile fibers cross-sections have as a rule the shape of deformed circle. Unfolded contours can then be described as a smooth periodical curve contaminated with local nonregularities, and can therefore be analyzed with the aid of the statistical regression model. The present paper applies such an approach to the comparison of shapes of cross-sections for several types of carbon fibers. The corresponding regression curve is constructed as the combination of trigonometric functions, its complexity is optimized by methods of math. statistics. It is also shown, by random sampling, that the parameters of the model correspond to different deformations of circular contour. On this basis, the method is proposed for the discrimination between the heat-treated and untreated fibers.
dcterms:title
Statistical regression method of shape analysis, with application to classification of cross-sections of carbon fibers Statistical regression method of shape analysis, with application to classification of cross-sections of carbon fibers
skos:prefLabel
Statistical regression method of shape analysis, with application to classification of cross-sections of carbon fibers Statistical regression method of shape analysis, with application to classification of cross-sections of carbon fibers
skos:notation
RIV/46747885:24410/02:00000133!RIV/2003/GA0/244103/N
n3:strany
369-375
n3:aktivita
n8:P
n3:aktivity
P(GA106/01/0565)
n3:dodaniDat
n10:2003
n3:domaciTvurceVysledku
n9:5220491 n9:9960783
n3:druhVysledku
n20:D
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
665031
n3:idVysledku
RIV/46747885:24410/02:00000133
n3:jazykVysledku
n21:eng
n3:klicovaSlova
%22Carbon fibers; cross-sections; analysis of shapes; statistical methods; regression model;%22
n3:klicoveSlovo
n5:analysis%20of%20shapes n5:%2522 n5:statistical%20methods n5:%2522Carbon%20fibers n5:cross-sections n5:regression%20model
n3:kontrolniKodProRIV
[B4204FE6F82F]
n3:mistoKonaniAkce
Hejnice
n3:mistoVydani
Hejnice
n3:nazevZdroje
ROBUST2002, Sborník příspěvků dvanácté zimní školy JČMF ( Antoch J. a Dohnal G. eds.)
n3:obor
n16:JJ
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:pocetUcastnikuAkce
0
n3:pocetZahranicnichUcastnikuAkce
0
n3:projekt
n4:GA106%2F01%2F0565
n3:rokUplatneniVysledku
n10:2002
n3:tvurceVysledku
Linka, A. Volf, P.
n3:typAkce
n19:CST
n3:zahajeniAkce
2002-01-21+01:00
s:numberOfPages
7
n15:hasPublisher
JČMF Praha
n17:isbn
80-715-900-6
n18:organizacniJednotka
24410