M. Mathankumar
Kumaraguru College of Technology
22 Papers
30 Citations
M. Mathankumar is an academic researcher from Kumaraguru College of Technology. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 5, co-authored 16 publications. Previous affiliations of M. Mathankumar include Techno India.
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Papers
Optimization in design of hybrid electric power network using HOMER
TL;DR: In this article, the authors proposed to refine the hybrid electrical power network to supply a single residence's electrical load located in Coimbatore, Tamilnadu, by considering the pattern of energy usage used and supplied for different electrical uses by the PV/Wind/Diesel Generator (DG) set.
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A Graphical User Interface Based Heart Rate Monitoring Process and Detection of PQRST Peaks from ECG Signal
M. Ramkumar,C. Ganesh Babu,A. Manjunathan,S. Udhayanan,M. Mathankumar,R. Sarath Kumar +5 more
- 01 Jan 2021
TL;DR: In this paper, the authors proposed a very dependable and simple method in detecting the values of P, Q, R, S, and T peak values of an ECG waveform.
27
Time based costing of energy storage system with optimal scheduling and dispatch under demand
TL;DR: A first-rate operating system is proposed that can optimize the value of using more than one garage batteries and use a statistical approach of adjusting versions so as not to neglect complexity in calculating each battery machine's base.
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Design and Implementation of Smart Supermarket System for Vision Impaired
M. Mathankumar,T. Kavitha +1 more
- 01 Jan 2013
TL;DR: In this paper, a solution has been given to identify and purchase products in the supermarket using PIC microcontroller and RFID technology, where the blind people are provided with low power RFID reader when they step into the supermarket.
Real time authentication system using advanced finger vein recognition technique
N. Sugandhi,M. Mathankumar,V. Priya +2 more
- 03 Apr 2014
TL;DR: In this paper, an advanced finger vein recognition technique is proposed and implemented in real time which is unique, does not need any physical contact, invisible feature, non-invasive, hard to be cloned, provide high accuracy and security using NIR (Near Infra-Red) scanning and advanced image processing technology embedded with PIC16F877A microcontroller.
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