PSG College of Technology

About: PSG College of Technology is a based out in . It is known for research contribution in the topics: Machining & Thin film. The organization has 3174 authors who have published 3575 publications receiving 40690 citations.

CdS quantum dot sensitized nanocrystalline Gd-doped TiO2 thin films for photoelectrochemical solar cells

Abstract: CdS quantum dot sensitized Gd-doped TiO2 nanocrystalline thin films have been prepared by chemical method. X-ray diffraction analysis reveals that TiO2 and Gd-doped TiO2 nanocrystalline thin films are of anatase phase. The absorption spectra revealed that the absorption edge of CdS quantum dot sensitized Gd-doped TiO2 thin films shifted towards longer wavelength side (red shift) when compared to that of CdS quantum dot sensitized TiO2 films. CdS quantum dots with a size of 5 nm have been deposited onto Gd-doped TiO2 film surface by successive ionic layer adsorption and reaction method and the assembly of CdS quantum dot with Gd-doped TiO2 has been used as photo-electrode in quantum dot sensitized solar cells. CdS quantum dot sensitized Gd-doped TiO2 based solar cell exhibited a power conversion efficiency of 1.18 %, which is higher than that of CdS quantum dot sensitized TiO2 (0.91 %).

Mechanical and durability properties of bagasse ash-blended high-performance concrete

Abstract: The use of supplementary cementitious materials has become an integral part of high-strength and high-performance concrete mix design, which may be natural by-products or industrial wastes. Some of the frequently used supplementary cementitious materials are fly ash, silica fume, ground granulated blast furnace slag, rice hush ash and bagasse ash (BA). BA (sugarcane industry waste product) is considered to be an active pozzolan because of its large surface area with significant amount of amorphous SiO2. The mix design for high-performance concrete is done as per the method proposed by P. C. Aitcin. This method is simple and follows the same approach as ACI 211-1 standard practice for selecting proportion of normal, heavy and mass concreting. Ordinary Portland cement was replaced at different levels of 0%, 5%, 10%, 15% and 20% by BA. This investigation presents results on the strength and durability properties of high-performance concrete with and without BA, which includes cube compressive strength, splitting tensile strength, flexural strength, saturated water absorption, sorptivity, porosity, impact test and alkalinity measurement. The test results indicate that the incorporation of BA up to 10% provides improved properties of hardened concrete.

Classification of Mango Leaves Infected by Fungal Disease Anthracnose Using Deep Learning

Abstract: Mango is the fruit of high economic and ecological importance in India, as it exports mangoes in large quantities. More than 1500 mango species are cultivated in India and more than 1000 of them are commercial varieties. Mangoes are highly affected by number of diseases, which hamper its appearance, taste and has huge impact on the economy. Amongst number of diseases, Anthracnose is the most commonly occurring fungal disease that is infecting mango trees in India. It is necessary to have an easy and appropriate method to diagnose this highly infectious fungal disease Anthracnose. It would be easier of mango cultivators to identify this disease beforehand and apply proper medication. This will help in preserving its quality and improving the production. Deep learning technologies, computer vision have dragged lot of research attention over past few years due to its high computation and accuracy to classify variety of fungal and bacterial diseases affecting Mango trees. This paper introduces a novel deep learning convolutional neural network (CNN) architecture to identify Anthracnose disease of mango. A real-time dataset captured in farms of Karnataka, Maharashtra and New Delhi is used for validation. It comprises of the images of mango tree leaves by including both healthy and diseased category. In comparison with other state-of-the-art approaches, the proposed algorithm gives higher classification accuracy of about 96.16%.

Preparation, characterization, and functional analysis of zinc oxide nanoparticle-coated cotton fabric for antibacterial efficacy

Abstract: Nanotechnology is an emerging interdisciplinary technology and nanostructures capable of enhancing the physical properties of conventional textiles in areas such as antimicrobial properties, water repellence, soil resistance, antistatic, anti-infrared and flame-retardant properties, dye ability, color fastness, and strength of textile materials. The studies were carried out in order to fine tune the preparation of zinc oxide nanoparticles (NPs) for special applications. Soluble starch (stabilizing agent), zinc nitrate and sodium hydroxide (precursors) were used for the preparation of zinc oxide NPs by wet chemical method. The synthesized NPs were coated on cotton fabric (plain weave), and the antibacterial property of the treated fabric was analyzed. Fourier transform infrared spectroscopic analysis, scanning electron microscopy, and physical and chemical characterization were employed to determine the phase and morphology of the final nanoparticle-coated fabric. The results indicated that 2% zinc oxide n...