In this paper, the spectral dimensions of two sets of samples including 457 black and 84 white fabrics are compared. White fabrics are treated with variety of fluorescent whitening agents and the blacks are fabrics that dyed with different combinations of suitable dyes and pigments. In this way, the reflectance spectra of blacks as well as the total radiance factors of whites are compressed in ...

the objective of this study was to investigate the relationship among body weight and fat-tail measurements with fat-tail weight by using multiple regression and principal component analysis. the eleven characters includes, body weight, fat-tail length, fat-tail circumference, width and diameters in 3 position of upper, middle and lower before the slaughter, and also fat-tail weight after the s...

Online condition monitoring and predictive maintenance are crucial for the safe operation of equipments. This paper highlights an unsupervised statistical algorithm based on principal component analysis (PCA) industrial induced draft (ID) fan. The high vibration issues in ID fans cause failure impellers and, sometimes, complete breakdown fan-motor system. system equipment should be reliable avo...

This article presents the RIMO/ELISA speaker veriication system which has been used in the 1999 NIST speaker recognition evaluation. This system is based on a new technique for analyzing speech signals called time-frequency principal component (TFPC) analysis. This technique consists in extracting principal components from the contextual covariance matrix, which is the covariance matrix of a se...

The human development index is an indicator to measure the quality of people's lives. If number increases, better There are many factors or variables that affect level index, ranging from economic issues, education, health and other factors. However, not all have a positive significant effect. Thus, this study aims determine significantly in South Sulawesi. method used principal component regre...