Bed ticking fabrics comfort evaluation
Result description
The main aim of this contribution is prediction of the subjective hand of bed ticking fabrics. For representation of results of the approach based on categorized variables is used. For the case of subjective hand the ordinal median is computed. Groups of16 respondents are used for evaluation of hand of 61 finely selected bed ticking fabrics. The data from KES measurements are analyzed by multivariate statistical methods for evaluation of potential sources of heterogenity (clusters and outliers) and mutual dependencies. The complex system for prediction of bed ticking fabrics hand is presented. The subset of KES properties connected significantly with subjective hand is specified. The methodology of prediction of subjective hand based on the combination of psychophysical transformation and predictive regression model is described. This methodology is applied for creation of predictive equation with few numbers of measured properties (shear and roughness).
Keywords
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bed ticking fabrics comfort evaluation
Original language description
The main aim of this contribution is prediction of the subjective hand of bed ticking fabrics. For representation of results of the approach based on categorized variables is used. For the case of subjective hand the ordinal median is computed. Groups of16 respondents are used for evaluation of hand of 61 finely selected bed ticking fabrics. The data from KES measurements are analyzed by multivariate statistical methods for evaluation of potential sources of heterogenity (clusters and outliers) and mutual dependencies. The complex system for prediction of bed ticking fabrics hand is presented. The subset of KES properties connected significantly with subjective hand is specified. The methodology of prediction of subjective hand based on the combination of psychophysical transformation and predictive regression model is described. This methodology is applied for creation of predictive equation with few numbers of measured properties (shear and roughness).
Czech name
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Czech description
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Classification
Type
Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JJ - Other materials
OECD FORD branch
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Result continuities
Project
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Izvestiya Vysshikh Uchebnykh Zavedenii, Seriya Teknologiya Tekstil'noi Promyshlennosti
ISSN
0021-3497
e-ISSN
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Volume of the periodical
3C
Issue of the periodical within the volume
317
Country of publishing house
RU - RUSSIAN FEDERATION
Number of pages
7
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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Basic information
Result type
Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP
JJ - Other materials
Year of implementation
2009