KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Adsorption & Diesel fuel. The organization has 427 authors who have published 381 publications receiving 2193 citations.

Design of counters using reversible logic

Abstract: Now-a-days, the reversible logic design attracts more interest due to its low power consumption. A lot of research has been done in combinational as well as sequential design of reversible circuits. In this paper we have proposed a reversible T-Flip-flop which is better than the existing designs in the literature. A novel design of reversible asynchronous and synchronous counters is also proposed in this paper. As far as it is known, this is the first attempt to apply reversible logic to the counter design. In this paper we have also proposed a new reversible gate which can be used as copying gate. We hope this paper will initiate a new area of research in the field of reversible sequential circuit.

ZnS nanoparticles capped with watermelon rind extract and their potential application in dye degradation

Abstract: We report fabrication of stable ZnS nanoparticles (NPs) using a green chemistry concept with watermelon rind extract as capping and stabilizing agent. The cubic structure of the NPs was evidenced by X-ray powder diffraction analysis and electron diffraction studies. Dynamic light scattering and high-resolution transmission electron microscopy studies revealed that the average size of the ZnS NPs was <12 nm. The bandgap of the ZnS nanocrystals was found to be 3.42 eV using ultraviolet–visible (UV–Vis) spectroscopy studies. The energy-dispersive X-ray spectrum of the fabricated ZnS NPs confirmed the elemental Zn and S signals without peaks from any impurities. The biomolecular capping of the ZnS NPs was analyzed using Fourier-transform infrared spectroscopy. An illustrative stabilization mechanism for the ZnS NPs is given using citrulline, a major phytochemical in watermelon rind extract. The obtained ZnS NPs showed good photocatalytic activity towards methylene blue dye degradation.

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

Abstract: Automated melanoma recognition using image processing technique from the available dermoscopic images in deep learning is difficult task because of the contrast and variation of melanoma in skin. It is mainly a non-invasive method so that it cannot contact with skin more forcefully. To overcome these disadvantages this research work proposes a method using very deep convolutional neural networks (CNNs). For more accurate classification in this method we are using FCRN and CNN with the effective training limited data. Initially, Performance of Segmentation is done using residual networks using a image from the dataset followed by Classification by neural networks to check the abnormalities in skin. In this kind of classification technique the network has more specified features from the segmented portion alone. The proposed technique is mainly evaluated on datasets and experimental results that would show the performance in histogram and PSNR ratio.

Assessment of Microstructure and Mechanical Properties of Stir Zone Seam of Friction Stir Welded Magnesium AZ31B through Nano-SiC.

Abstract: In the present study, silicon carbide nanoparticles were incorporated into AZ31B magnesium alloy welded joints using the friction stir welding technique at five different stir zone volume fractions. The volume percentage of nano-SiC was varied from 0–20% in increments of 4%. Initially, the microstructure analyses of the V4, V8, and V12 welded joints were observed to be in good accordance with a homogeneous dispersion of nano SiC particles within the stir zone (SZ). Moreover, the particle’s agglomeration and large cluster size were found in the SZ due to insufficient heat generation of the specimen’s V16 and V20 during friction stir welding (FSW). Furthermore, the tensile and microhardness test was conducted, and the results indicate that the volume fractions increase along with the ultimate tensile strength and average microhardness, which increases up to 12% SiC addition (V12). With this effect, the fracture morphology was examined in the nano-composite joints that revealed a brittle fracture mode, which was observed in specimens V16 and V20, and the remaining was in the ductile fracture mode. From this investigation, a significant enhancement was found in the weld nugget zone that the tensile strength value of the V12 specimen was improved by 21% compared to the welded joint without SiC.