Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Cluster analysis & Control theory. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

A novel design of switched boost action based multiport converter using dsPIC controller for renewable energy applications

Abstract: Traditionally the grid supplies only a particular voltage to the load, but today we are using ‘n’ number of loads with different voltage rating and converters. So, the conversion of the generated A...

A backpressure technique for filtering spoofed traffic at upstream routers

Abstract: Ever increasing rate of Denial of Service (DoS) attacks presents severe security threats to the internet. In this study, a backpressure scheme to filter DoS attack traffic at the earliest possible is presented. This paper utilises markings stamped in the packets by the routers to detect DoS attacks. To improve the accuracy of detection, the detection process is augmented with hop count values from IP header. A backpressure technique partially deployed at the upstream routers is also proposed to prevent congestion at victim. Simulation studies show that our scheme drops most of the attack traffic at the earliest time.

Utilization of 2D gahnite nanosheets as highly conductive, transparent and light trapping front contact for silicon solar cells

Abstract: The current scenario illustrates distinct interest in developing renewable energy sources for power generation. In this regard, several researches are performed in enhancing the power conversion efficiency of solar cells. The present work focuses on utilizing ZnAl2O4 (gahnite) spinel as antireflection coating material to improve the power conversion efficiency of silicon solar cells. Gahnite was synthesized using two precursors namely zinc nitrate hexahydrate and aluminum nitrate nonahydrate through sol–gel technique. The thickness of the prepared gahnite sheets measured through atomic force microscopy was around 50 nm. Single to quintuple layers of gahnite was deposited on silicon solar substrate using spin coating technique. The influence of gahnite coating on the structural, optical, electrical properties and cell temperature of silicon solar cells are analyzed. The synthesized gahnite bears spinel crystal structure in the form of two dimensional nanosheet. Increment in layer thickness proves the deposition of single to quintuple layer on silicon substrate. A maximum of 93% transmittance and 20.72% power conversion efficiency at a low cell temperature (39.4 °C) has been achieved for triple layer deposition proving diffusion of more photons on the substrate. The obtained results prove gahnite as suitable anti-reflection coating material for enhancing the power conversion efficiency of silicon solar cells.

Automatic Fruit Detection System using Multilayer Deep Convolution Neural Network

Abstract: Agriculture has become an important thing in everyday life. Among this, fruits are a great thing in every day life. Classification of fruits based on their accuracy is a decent approach to all the fruit sellers. There is many parallelism between apple and cherry and various kinds of similarities are present in many types of fruits, so the classification plays an important role. However, there are troubles in fruit classification using machine learning algorithms like Support Vector Machine (SVM) and Convolutional Neural Network(CNN). So, the methods of CNN, pooling layers and fully connected network have been applied to overcome the problems. The CNN and pooling layers have been applied to extract the features of the fruits. To expose this scheme, various fruits such as Apple, Blueberry, Cherry, Grape blue, Guava, Kiwi, Lemon, Papaya, Strawberry, Plum, Tomato and Mango are considered. By implementing this project, the accuracy of fruit classification is increased.

Physico-mechanical, Chemical Composition and Thermal Properties of Cellulose Fiber from Hibiscus vitifolius Plant Stalk for Polymer Composites

Abstract: In the present work, physico-mechanical, chemical composition, and thermal properties of cellulosic fiber extracted from the stem of Hibiscus vitifolius plant have been investigated. The wide chara...