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Description
  • Cílem práce je predikce prodyšnosti ze znalostí porozity na základě geometrických modelů a obrazové analýzy. Predikce je hodnocena na základě tzv. %22cross validation%22 technik. (cs)
  • It is well known that transport properties as air permeability of fabric are mainly influenced by their porosity. The fabric porosity is function of construction parameters as tarn fineness and set of weft and warp. Due to differences between ideal andreal geometry and random variation of fabric structure there are no linear dependences between transport properties as air, heat and moisture permeability and predicted fabric porosity. Lack of theoretical model for this situation leads to the utilizatioof special combinations of dimension reduction and regression techniques. Introduction the special method based on partial regression graphs will be done. The regression in the form of multivariate linear model will be used. The program in MATLAB forrealization of these techniques will be described. The main aim of this work will prediction of fabric air permeability from predicted surface and density porosity (as combination of yarn diameters, weft - warp sett, planar weight and thickness of fabric
  • It is well known that transport properties as air permeability of fabric are mainly influenced by their porosity. The fabric porosity is function of construction parameters as tarn fineness and set of weft and warp. Due to differences between ideal andreal geometry and random variation of fabric structure there are no linear dependences between transport properties as air, heat and moisture permeability and predicted fabric porosity. Lack of theoretical model for this situation leads to the utilizatioof special combinations of dimension reduction and regression techniques. Introduction the special method based on partial regression graphs will be done. The regression in the form of multivariate linear model will be used. The program in MATLAB forrealization of these techniques will be described. The main aim of this work will prediction of fabric air permeability from predicted surface and density porosity (as combination of yarn diameters, weft - warp sett, planar weight and thickness of fabric (en)
Title
  • Transport Properties of Wool/Pet Weaves
  • Transport Properties of Wool/Pet Weaves (en)
  • Transportní vlastnosti textilií vlna/PES (cs)
skos:prefLabel
  • Transport Properties of Wool/Pet Weaves
  • Transport Properties of Wool/Pet Weaves (en)
  • Transportní vlastnosti textilií vlna/PES (cs)
skos:notation
  • RIV/46747885:24410/04:00000052!RIV/2005/MSM/244105/N
http://linked.open.../vavai/riv/strany
  • 240-245
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LN00B090)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 590711
http://linked.open...ai/riv/idVysledku
  • RIV/46747885:24410/04:00000052
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Transport Properties;Wool/Pet Weaves (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [47F67575351E]
http://linked.open...v/mistoKonaniAkce
  • Dubrovnik, Croatia
http://linked.open...i/riv/mistoVydani
  • Zagreb, Croatia
http://linked.open...i/riv/nazevZdroje
  • 2nd International Textile, Clothing & Design Conference - Magic World of Textiles
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Militký, Jiří
  • Vik, Michal
  • Viková, Martina
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of Zagreb, Faculty of Textile Technology
https://schema.org/isbn
  • 953-7105-05-9
http://localhost/t...ganizacniJednotka
  • 24410
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