Global Academy of Technology

About: Global Academy of Technology is a based out in . It is known for research contribution in the topics: Routing protocol & Wireless sensor network. The organization has 230 authors who have published 210 publications receiving 702 citations.

Face Recognition Using Gabor Wavelets

Abstract: Face recognition with variant pose, illumination and expression is a challenging problem. Robust face recognition requires the ability to recognize identity despite many variations in appearance the face can have. Today there exist many well known techniques for face recognition, each with its own inherent limitations. In this paper we present a novel approach to face recognition using Gabor wavelets. The Gabor image representation simulates the function of the human visual system, a design feature which may be important in the field of robotics and computer vision. The Gabor wavelets approach appears to be quite perspective and has several advantages such as invariance to homogenous illumination changes, small changes in head poise and robustness against facial hair, glasses. Experimental results show that the proposed method performs better than traditional approaches in terms of both efficiency and accuracy. It is worth mentioning that Gabor wavelets technique has recently been used not only for face recognition, but also for face tracking and face position estimation.

Ionic liquid assisted hydrothermal syntheses of Au doped TiO2 NPs for efficient visible-light photocatalytic hydrogen production from water, electrochemical detection and photochemical detoxification of hexavalent chromium (Cr6+)

Abstract: Au/TiO2 NPs have been successfully prepared at 130 °C in one day using an ionic liquid assisted hydrothermal method using methoxyethyl methyl imidazolium methanesulfonate as the ionic liquid, titanium(IV) isopropoxide and tetrachloroaurate(III) trihydrate as precursors. Physico-chemical properties of the obtained photocatalysts were investigated via thorough characterizations. The framework substitution of Au in TiO2 NPs was established by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) and energy dispersive X-ray spectroscopy (EDS) techniques. X-ray diffraction (XRD) and transmission electron microscopy (TEM) image results confirmed the anatase phase and nanocrystalline nature of Au/TiO2. The optical properties revealed an extended tailing of the absorption edge toward the visible region upon Au doping. The concentration of Au in the TiO2 matrix has been fine-tuned to improve the hydrogen production, electrochemical detection and photochemical detoxification of hexavalent chromium (Cr6+). But there are no reports utilizing a single material for all three applications such as photocatalytic hydrogen production from water and photochemical as well as electrochemical reduction of Cr6+ to Cr3+. The synergy between the Au and TiO2 has an optimum for concentration of 0.5 wt% Au doped TiO2. The optimized product has produced promising hydrogen evolution of 3344 μmol g−1 under illumination with a visible light source in a water/ethanol system. The optimized product has shown promising electrocatalytic reduction and the photocatalytic detoxification ability of the material towards Cr6+ was explored. Amperometric studies showed a linear range from 0.1 to 2.7 mM, and limits of detection and quantification of 0.01 mM and 0.023 mM, respectively. The Au/TiO2 nanoparticle modified glassy carbon has been used for electrochemical monitoring of Cr6+ in natural water samples. The material also showed better photochemical reduction of Cr6+ in sunlight compared to UV light.

The effects of surfactant in the sol–gel synthesis of CuO/TiO2 nanocomposites on its photocatalytic activities under UV-visible and visible light illuminations

Abstract: Effective and low-cost CuO/TiO2 nanocomposite photocatalysts were prepared at room temperature via a surfactant-assisted sol–gel method using titanium(IV) isopropoxide and copper(II) nitrate as precursors. In the current study, a surfactant, namely hexadecyltrimethylammonium bromide, was used in the sol–gel method to reduce the agglomeration of CuO/TiO2 nanocomposites. The framework substitution of CuO in the TiO2 nanostructure was established by different characterization techniques, including XRD, TEM and HRTEM, and the results confirmed that CuO and TiO2 bound one over the other and forming a nanocomposite nature. The optical properties revealed extended tailing of the absorption edge toward the visible region upon CuO doping. CuO serves as the electron reservoir by receiving electrons from TiO2, which suppresses the recombination of e−/h+ and transfers the received electrons to split water, resulting in enhanced photocatalytic activity. The concentration of CuO in the TiO2 nanostructure was fine-tuned to improve the photocatalytic activities. The synergy between CuO and TiO2 was optimum at a concentration of 0.5 wt% CuO. The optimized product produced a promising hydrogen evolution of 1634 μmol g−1 under illumination from UV and visible light sources. The optimized product also showed promising photocatalytic degradation of Rhodamine B dye and better photochemical reduction of Cr6+ under sunlight and UV light than those with other CuO ratios.

A review on various methodologies used for vehicle classification, helmet detection and number plate recognition

Abstract: Vehicle detection and classification has been an area of application of image processing and machine learning which is being researched extensively in accordance with its importance due to increasing number of vehicles, traffic rule defaulters and accidents. This paper aims to review various methodologies used and how it has evolved to give better results in the past years, closely moving towards usage of machine learning. This has resulted in advancing the problem statement towards helmet detection followed by number plate detection of defaulters. Object detection and Text recognition that are available in various frameworks offer built-in models which are easy to use or offer easy methods to build and train customized models.