Hodnocení komfortu sypkovin

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F06%3A%400000029" target="_blank" >RIV/46747885:24410/06:@0000029 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Bed Ticking Fabrics Comfort Evaluation

Popis výsledku v původním jazyce

The main aim of this contribution is prediction of the subjective hand of bed ticking fabrics.Groups of 16 respondents are used for evaluation of hand of 61 finely selected bed ticking fabrics. The data from KES measurements are analyzed by multivariatestatistical methods for evaluation of potential sources of heterogeneity (clusters and outliers) and mutual dependencies. The clusters and PCA analysis are applied for grouping tendency estimation. The complex system for prediction of bed ticking fabricshand 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 (especially shear and roughness).

Název v anglickém jazyce

Bed Ticking Fabrics Comfort Evaluation

Popis výsledku anglicky

The main aim of this contribution is prediction of the subjective hand of bed ticking fabrics.Groups of 16 respondents are used for evaluation of hand of 61 finely selected bed ticking fabrics. The data from KES measurements are analyzed by multivariatestatistical methods for evaluation of potential sources of heterogeneity (clusters and outliers) and mutual dependencies. The clusters and PCA analysis are applied for grouping tendency estimation. The complex system for prediction of bed ticking fabricshand 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 (especially shear and roughness).

Druh

A - Audiovizuální tvorba

CEP obor

JJ - Ostatní materiály

OECD FORD obor

—

Projekt

<a href="/cs/project/1M0553" target="_blank" >1M0553: Výzkumné centrum TEXTIL II</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2006

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

—

Místo vydání

Raleigh, North Carolina, USA

Název nakladatele resp. objednatele

NC State University - College of Textiles

Verze

—

Identifikační číslo nosiče

—