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.

Study of Citation Networks in Tribology Research

Abstract: CitNetExplorer has been used to study the citation networks among the scientific publications on tribology during the 15 years period from 1998-2012. Three data sets from Web of Science have been analyzed: (1) Core publications of tribology research, (2) publications on nanotribology and (3) publications of Bharat Bhushan (a top-contributor to nanotribology research). Based on this study, some suggestions are made to improve the CitNetExplorer.

Removal of NOX from diesel engine exhaust by using different chemical absorbent in a lab-scale packed column system:

Abstract: Emissions of NOX from automobile causes various environmental impacts. In order to satisfy the emission norms and standards, it is necessary to reduce the toxic gases from emission. This paper conc...

Design and implementation of smart home energy management systems using green energy

Abstract: One of the main innovations of the intelligent grid is the use of clean resources and energy storage of delivery systems in the smart home. A primary resource of energy storage schemes is market-based control. Instead of the public network, the intelligent grid design has been frequently envisioned in suburban communities. The smart home renewable energy management (SHREM) system has been proposed, and this system provides high efficiency and high-quality solar panel for power generation. The proposed SHREM system manages smart home energy needs by installing renewable energy and planning and controlling electricity flow during peak and off-peak periods by optimization techniques. Besides, the two-way communication protocol has been designed to help maximize the flow of resources and usage efficiency for the homeowner and service provider. SHREM framework is supposed to optimize home energy consumption and save home energy costs by considering energy consumption and generation. The statistical analysis shows the highest performance accuracy of 89.2% and a lower average electrical load shifting ratio of 0.68 (within the threshold level) than existing models.

Design and Development of Smart Lawn Mower

Abstract: Nowadays lawn mowers are widely used for trimming the grasses in the fields which acts like an interior decorator in companies, colleges, etc. Based on the function remote-operated lawnmower, grass cutting equipment which is having the range is restricted as the signal strength is very low and also it is quite expensive. The vital purpose to consider of the proposed work is to make the lawnmower eco-friendly, cost-effective. To overcome the above limitations, a lawnmower is remotely controlled using a device such as mobile phone can acts as a connection between the user and operation of the grass cutter. In this research work, among the two different uses of mobile phone through which one sends the video of the current pathway and the other as a receiver. The NodeMCU ESP8266 is pre-programmed to take control of any given input and output. The motor driver drives the DC motor for movement. The mobile phone is placed above the lawnmower which transmits the current pathway and performs the grass cutting operation.