Discriminant loadings

Preliminary research has shown that Brillouin fiber-optic sensing systems provide a possible method to detect leaks and third-party intrusion on a pipeline over distances of 25 km or more. Their intrinsic response to both temperature and mechanical strain allows for the separation of these parameters and the detection of anomalies in the scan profiles. In addition, the same sensor could be integrated into the pipeline system to detect possible ground movement relative to fixed reference points. Limited test results on surface loads associated with the intrusion of vehicles and people on a pipeline have demonstrated the sensitivity of the system and its ability to discriminate loads at different soil depths. 

Stepwise discriminant analysis was used to determine how tree chemical, phenologlcal, and physical parameters differed between sites (Table VII). Only seven of the 18 variables used were needed to completely differentiate the trees at the 2 sites (F/y ] 93) = 210.36 p < 0.001). The magnitudes of the standardized discriminant function coefficients for the Included variables Indicated that the differences between sites were largely due to terpene chemistry (Table VIII). The discriminant function contrasts primarily the relative concentration of alpha-plnene versus the concentration of several terpenes, particularly bornyl acetate and beta-plnene. Examination of the discriminant scores showed that the stressed trees loaded negatively on the function (x discriminant score = -2.23), while the non-stressed trees loaded positively (x discriminant score = 3.38). In other wards, trees from the stressed site were higher In alpha-plnene vdille the non-stressed trees contained more bornyl acetate, beta-plnene, and other terpenes In their young needles. 

Correlation of Analytical/Sensory Results. Sensory data was correlated with headspace data of tobacco volatiles by factor analysis (BMDP4M) and canonical correlation BMDP6M. Analytical data included factor scores and discriminant analyses scores sensory data included scores from the two MDS dimensions. Sorted rotated factor loadings of combined sensory/analytical data using factor analysis are shown in Table II. Factor one contained those variables from the analytical and sensory data which related to differences between bright (A), burley (B), and oriental (C) (Figure 10). These included dimension 1 in the... 

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