Recently Downloaded: Paper ID: ART20181307, Total 49 Articles Downloaded Today
Estimating Social Opinion Dynamics Models from Voting System
Divya, Rashmi Mohan, Cynthiya Priyadharshini
Abstract: This paper deals with design, build and test a online voting system that facilitates user (the person who is eligible for voting), candidate (Candidate are the users who are going to stand in elections for their respective party), Election Commission Officer (Election Commission Officer who will verify whether registered user and candidates are authentic or not) to participate in online voting. This online voting system is highly secured, and it?s design is very simple, ease of use and also reliable. The proposed software is developed and tested to work on Ethernet and allows online voting. It also creates and manages voting and an election detail as all the users must login by user name and password and click on his favorable candidates to register vote. This will increase the voting percentage in India. By applying high security it will reduce false votes.
Keywords: CSS, HTML, Java Script, JDBC, JSP, MYSQL, ORACLE, Servlet, WAMP.
Country: India, Subject Area: Information Technology
Pages: 440 - 442
Edition: Volume 8 Issue 2, February 2019
How to Cite this Article?
Divya, Rashmi Mohan, Cynthiya Priyadharshini, "Estimating Social Opinion Dynamics Models from Voting System", International Journal of Science and Research (IJSR), https://www.ijsr.net/archive/v8i2/24011904.pdf, Volume 8 Issue 2, February 2019, 440 - 442
Viewed 44 times.
Downloaded 14 times.