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This paper presents a digital imaging method based on silhouette image analysis to visualize the 3D surface roughness of textile or other flexible materials. A prototype of imaging system consisting of five components was developed: visible lighting source (white backlighting), sample stage, progressive sample feeding equipment, detector (CCD camera) and software. A sequence of silhouette images of textile surface patches could be digitalized progressively when the sample passes through the sharp edge of crossbeam in bending status, so that the whole 3D surface profile could be generated by the combination of silhouette height profile of each surface patch in sequence. This non-destructive testing method is effective for surface roughness characterization or defects detection of flexible materials; it could reconstruct a pure 3D surface profile of textile surface while discarding the information of surface color so as to avoid the fusion of shadows and dark colors, which is impossible to be implemented based on the traditional 2-D image analysis.

Provides a brief outline of the Philippines before looking at the values held by the culture and the management style commonly adopted. Outlines personnel management practices with references to short case studies. Concludes that one must first understand the culture in relation to feelings, honour and relationships and the successful company is one which has formed effective relationships with not only customers but employees, suppliers and dealers and also provides staff with development opportunities.

The purpose of this paper is to propose a grey clustering evaluation model based on analytic hierarchy process (AHP) and interval grey number (IGN) to solve the clustering evaluation problem with IGNs.

First, the centre-point triangular whitenisation weight function with real numbers is built, and then by using interval mean function, the whitenisation weight function is extended to IGNs. The weights of evaluation indexes are determined by AHP. Finally, this model is used to evaluate the flight safety of a Chinese airline. The results indicate that the model is effective and reasonable.

When IGN meets certain conditions, the centre-point triangular whitenisation weight function based on IGN is not multiple-cross and it is normative. It provides a certain standard and basis for obtaining the effective evaluation indexes and determining the scientific evaluation of the grey class.

The traditional grey clustering model is extended to the field of IGN. It can make full use of all the information of the IGN, so the result of the evaluation is more objective and reasonable, which provides supports for solving practical problems.