CFP last date
01 January 2025
Call for Paper
February Edition
CAE solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 01 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Property (Land) Registration Management Using Blockchain in Nigeria

A. Festus Osuolale Ojebiyi David-Daniel Seriki Oluwasogo
Random Articles
Reseach Article

Improved Electronic Voting Machine with Real Time Data Analysis

by Anamika Sen, Malabika Sen, Aarti Ambekar
journal cover thumbnail

Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 1
Year of Publication: 2016
Authors: Anamika Sen, Malabika Sen, Aarti Ambekar
10.5120/cae2016652420

Anamika Sen, Malabika Sen, Aarti Ambekar . Improved Electronic Voting Machine with Real Time Data Analysis. Communications on Applied Electronics. 6, 1 ( Oct 2016), 47-49. DOI=10.5120/cae2016652420

@article{ 10.5120/cae2016652420,
author = { Anamika Sen, Malabika Sen, Aarti Ambekar },
title = { Improved Electronic Voting Machine with Real Time Data Analysis },
journal = { Communications on Applied Electronics },
issue_date = { Oct 2016 },
volume = { 6 },
number = { 1 },
month = { Oct },
year = { 2016 },
issn = { 2394-4714 },
pages = { 47-49 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume6/number1/670-2016652420/ },
doi = { 10.5120/cae2016652420 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:56:38.820010+05:30
%A Anamika Sen
%A Malabika Sen
%A Aarti Ambekar
%T Improved Electronic Voting Machine with Real Time Data Analysis
%J Communications on Applied Electronics
%@ 2394-4714
%V 6
%N 1
%P 47-49
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traditional manual voting system comes with shortcomings like additional cost of hiring personnels for the security of the storeboxes along with costs of papers, ink. The manual counting took upto four days to come up with proper results. Electronic Voting Machines help cut these costs, reducing the manual labor extensively, providing accurate results. This paper aims to do a real time analysis of the votes and ways in which data analysis can be used further.

References
  1. D. Ashok Kumar, T. Ummal Sariba Begum, “Electronic Voting Machine – A Review”, Pattern Recognition, Informatics and Medical Engineering (PRIME), 2012 International Conference
  2. Soumen Ghosh, “Development of Microcontroller Based Electronic Voting Machine (EVM)", IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
  3. Diponkar Paul and Sobuj Kumar Ray, "A Preview on Microcontroller Based Electronic Voting Machine," International Journal of Information and Electronics Engineering, Vol. 3, No. 2, March 2013
  4. Subhadeep Chakraborty, Dip Laha, Payel Kunda and Indrajeet Kunda, “Design of Secured Wireless EVM for Data Acquisition”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 5, Issue 9, September 2015
  5. M. A. Mazidi, J. G. Mazidi & R. D. McKinlay, “The 8051 Microcontroller and Embedded Systems”, Pearson Publication 2nd Edition, 2006
  6. C. Kenneth, J. Ayala & D. V. Gadre,”The 8051 Microcontroller and Embedded System using Assembly and C”, Cengage Learning, Edition 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Data Analysis ESP8266 EVM FRDM-KL25Z ThingSpeak

Powered by PhDFocusTM