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Facial recognition is an important research topic in biometric authentication to provide a secure access to a computer system. Due to intra and inter personal variations, facial expressions and aging variations are major concerns in facial recognition system. In order to address this concern, a new discriminant algorithm is proposed in this research article. A gradient descent with momentum and style transfer function are included in linear collaborative discriminant regression classification algorithm to characterize the dissimilar contributions of the training facial images and to learn the optimal projection matrix by maximizing the ratio of the within class reconstruction error and collaborative between class reconstruction error. Hence, the proposed collaborative algorithm not only enhance the recognition accuracy and also overall computing efficiency. In the experimental phase, the performance of the proposed stochastic gradient descent linear collaborative discriminant regression classification algorithm is validated on ORL, YALE, and extended YALE B datasets, because these databases comprise of the extensive variety of face details, expressions, and degree of scales. The experimental outcome shows that the proposed algorithm achieved maximum of 93.34%, 90.07%, and 98.83% of recognition accuracy on ORL, YALE, and extended YALE B datasets, respectively. Compared to the other existing models, the proposed algorithm approximately showed 1.5% to 10.5% improvement in face recognition in terms of recognition accuracy on ORL, YALE, and extended YALE B datasets. [ABSTRACT FROM AUTHOR]

This study is aimed at utilizing nutraceutical industrial waste and reducing carbon footprints of plastics. Eco‐friendly “green composites” of high density polyethylene (HDPE) were fabricated using coleus spent (CS)—a nutraceutical industrial waste as reinforcing filler and maleic anhydride‐graft‐polyethylene (MA‐g‐PE) as compatibilizer. Composites were fabricated with 5, 10, 15, and 20% (w/w) of CS by extrusion method. The fabricated HDPE/CS composites were evaluated for mechanical and thermal behavior. A slight improvement of about 5% in tensile strength and marked improvement of about 25% in tensile modulus for 20 wt % CS filled HDPE composites was noticed. The effect of CS content on rheological behavior was also studied. Thermal characteristics were performed using thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC). TGA thermogram indicated increased thermal stability of CS‐filled composites. From TGA curves the thermal degradation kinetic parameters of the composites have been calculated using Broido's method. The enthalpy of melting (ΔHm) obtained from DSC curves was reduced with increase in CS content in HDPE matrix, due to decrease in HDPE content in composite systems. An increase in CS loading increased the water absorption behavior of the composites slightly. Morphological behavior of cryo‐fractured composites has been studied using scanning electron microscopy. © 2010 Wiley Periodicals, Inc. J Appl Polym Sci, 2011 [ABSTRACT FROM AUTHOR]

Highdensity polyethylene HDPEturmeric spent TS composites were prepared by the extrusion of an HDPE resin with 5, 10, 15, or 20 wt TS. HDPE granules and TS masterbatch flakes were compounded on a corotating and intermeshing twinscrew extruder. The extrudate strands were cut into pellets and injectionmolded to make test specimens. These specimens were tested for physicomechanical properties such as the tensile, flexural, and impact strengths, surface hardness, abrasion resistance, density, and water absorption and thermal characteristics such as the heat distortion temperature HDT and melt flow index MFI. Test results revealed that the incorporation of TS affected the tensile, flexural, and Izod impact strengths of the HDPETS composites to some extent, whereas the tensile modulus increased from 606.9 to 752.0 Nmm2and the HDT increased from 61 to 65°C. Furthermore, the addition of TS yielded only marginal variations in the surface hardness, abrasion resistance, density, water absorption, and MFI values of the composites. © 2010 Wiley Periodicals, Inc. J Appl Polym Sci, 2010 [ABSTRACT FROM AUTHOR]