Vickram College of Engineering

About: Vickram College of Engineering is a based out in . It is known for research contribution in the topics: Facial recognition system & Supply chain. The organization has 58 authors who have published 90 publications receiving 607 citations.

A review of face recognition methods

Abstract: Face recognition has become more significant and relevant in recent years owing to it potential applications. Since the faces are highly dynamic and pose more issues and challenges to solve, researchers in the domain of pattern recognition, computer vision and artificial intelligence have proposed many solutions to reduce such difficulties so as to improve the robustness and recognition accuracy. As many approaches have been proposed, efforts are also put in to provide an extensive survey of the methods developed over the years. The objective of this paper is to provide a survey of face recognition papers that appeared in the literature over the past decade under all severe conditions that were not discussed in the previous survey and to categorize them into meaningful approaches, viz. appearance based, feature based and soft computing based. A comparative study of merits and demerits of these approaches have been presented.

Parametric optimization of electrical discharge machining process on α–β brass using grey relational analysis

Abstract: In the present work, a multi response optimization technique based on Taguchi method coupled with grey relational analysis is used for electrical discharge machining operations on duplex (α–β) brass. Stir casting technique was used to fabricate the duplex brass plates. The mechanical properties of the material are reported. Experiments were conducted with three machining variables such as current, pulse-on time and spark voltage and planned as per Taguchi technique. Material removal rate (MRR), electrode wear rate (EWR), and surface roughness (SR) are chosen as output parameters for this study. Results showed that, peak current and spark voltage were the significant parameters to affect MRR, EWR, and SR as per grey relational grade. The optimal combination parameters were identified as A3B3C2 i.e., pulse current at 14 A, pulse on-time at 200 µs, and voltage at 50 V. Analysis of variance was used for analyzing the results. The confirmation tests were performed to validate the results obtained by grey relational analysis and the improvement was achieved.

Parametric optimization of EDM process on α–β brass using Taguchi approach

Abstract: In the present work, stir casting route is used to fabricate the duplex (α–β) brass plate. The machineabilty behavior of the (α–β) brass is analyzed during Electrical Discharge Machining (EDM) using Taguchi method. Experiments were conducted with three machining variables such as current, pulse-on time and voltage. Material removal rates (MRR), Electrode wear rate (EWR) and surface roughness (SR) are chosen as the output parameters. Results of SN ratio analysis showed that peak current was significant factor to affect the all the responses. Analysis of variance (ANOVA) was used to identify the contribution of each parameter.

Studies on chemical bath deposited CuO thin films for solar cells application

Abstract: CuO thin films were deposited onto glass substrates using Chemical bath deposition technique by varying the pH of the solution. Structural, optical and electrical properties of the synthesized films were studied as a function of the solution pH. X-ray diffractometry, scanning electron microscopy, UV–Vis spectroscopy and Hall effect measurements were used to explore the structure, morphology, optical and electrical properties of the films, respectively. All the films have exhibited orthorhombic structure with preferential orientation along the (111) plane. X-ray line profile analysis has been carried out to determine the microstructural parameters such as crystallite size, RMS microstrain, dislocation density and stacking fault probability. Morphological studies have revealed that the uniformity of the film surface, and the average particle size was found to increase with solution pH. Optical parameters such as band gap, refractive index, extinction coefficient, real and imaginary dielectric constants and optical conductivity have been estimated from optical absorption measurements. Carrier concentration and mobility of charge carriers estimated from the Hall measurement were found to be 7.43 × 1013 cm−3 and 11.84 cm2 V−1 s−1 respectively for CuO films prepared at solution pH 11.0.