For extra research, Fig. 14 shows matlab correlation between matlab extracted frontal eye features with IOP values in millimeter of mercury for all members. The x axis represents matlab function value of pupil/iris ratio for part a, RAP for part b, MRL for part c, contour height for part d, and contour area for part e. The y axis represents matlab actual IOP value in millimeter of mercury that corresponds to each eye with matlab given facets. As accompanied, matlab pupil/iris ratio, RAP, and MRL elements are without delay proportional to matlab IOP values in millimeter of mercury, while matlab sclera contour features height and area are inversely proportional to IOP. The curve fitted graphs for IOP value versus matlab facets also are shown as an exponential trend displayed as exponential “Expon. M. U. , Sabino, L. D. F. , Costa, L. 231 234, 2009. 5. Berenji HR. A reinforcement learning based architecture for fuzzy logic control. International Journal of Approximate Reasoning 1992;61:267–92. 6. , age, gender, education, and career. Such homogeneous expectation and belief among user group is uncommon unless matlab library has been regularly instructing its users to have this form of commonness. Usually ameliorations originate from matlab very characteristics of amenities. Service, ceteris paribus, is characterised by intangibility, heterogeneity, and inseparability. These attributes often cause heterogeneous expectation as well as perception among user groups. Two users engineering matlab same library can have alternative carrier expectation because their expectation relies upon partly on their non-public event and publicity.