Manmeet Singh Khurana

Work place: B.R. Ambedkar National Institute of Technology, Jalandhar, India

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Research Interests: Software, Software Design, Computer Architecture and Organization, Data Structures and Algorithms

Biography

Manmeet Singh Khurana is a post-graduate in Electrical and Computer Engineering from University of Florida, Gainesville. Prsior to masters, he has completed his Bachelors in Technology in Instrumentation and Control Engineering from Dr. B.R. Ambedkar National Institute of Technology Jalandhar. His interest areas include wireless networks and software design.

Manmeet is a student member of IEEE and an active participant in research wing of University of Florida. He has done his summer internship as a firmware engineer in Blackberry.

Author Articles
Real-Time Fuel Quality Monitoring System for Smart Vehicles

By Prerit Saxena Roop Pahuja Manmeet Singh Khurana Sumrit Satija

DOI: https://doi.org/10.5815/ijisa.2016.11.03, Pub. Date: 8 Nov. 2016

A novel method of monitoring the quality i.e. the percentage of purity of diesel fuel in real-time environment in smart vehicles is presented here. The method incorporates temperature compensated density measurement using a dual load cell and temperature sensor. The mass of the small fixed volume of diesel sample and temperature of diesel are measured by the pre-calibrated load cell based amplifier set up and a smart miniature temperature sensor respectively. The amplified voltage of the load cell provides the measure of the density of the fuel. Further, the measured value of fuel density is temperature compensated and compared with standard reference values to indicate percentage of purity of the diesel sample. The method is automated with an intelligent virtual instrument that provides all the means of testing the fuel sample and displaying results with high level of accuracy ~ 99.8 %. The model offers a way of providing vital real time information to user and has great future prospects. Also, the data collected can be analyzed for developing complex mathematical models to suggest optimized driving parameters for vehicles.

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