Work place: Department of Computer Science & Engg, KLE Dr. M.S. Sheshagiri CET, Udyambag, Belgaum-590008, India
E-mail: rahulgavas@gmail.com
Website:
Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Parallel Computing, Mathematics of Computing
Biography
Mr. Rahul Dasharath Gavas is pursuing his Bachelor of Engineering in Computer Science and Engineering from KLE Dr. M.S.Sheshagiri College of Engineering and Technology. His areas of interest include cognitive computing, brain-computer interface and unpredictability theory.
By Sheela Shankar V.R Udupi Rahul Dasharath Gavas
DOI: https://doi.org/10.5815/ijitcs.2016.04.06, Pub. Date: 8 Apr. 2016
There has been many attempts to make authentication processes more robust. Biometric techniques are one among them. Biometrics is unique to an individual and hence their usage can overcome most of the issues in conventional authentication process. This paper makes a scrutinizing study of the existing biometric techniques, their usage and limitations pertaining to their deployment in real time cases. It also deals with the motivation behind adapting biometrics in present day scenarios. The paper also makes an attempt to throw light on the technical and security related issues pertaining to biometric systems.
[...] Read more.By Geeta N. Rahul Dasharath Gavas
DOI: https://doi.org/10.5815/ijmecs.2014.09.04, Pub. Date: 8 Sep. 2014
Although technology is successfully being used these days as a tool to improve education at all levels, its improper usage is curbing the imagination of the student community, leading to a diminution in their thinking capacity and ability to focus and concentrate. As attention is a vital cognitive feature of any learning process, students these days are not coping well with this process. This study attempts to analyse the focusing capacity of students from two different backgrounds; students who have undergone training in mental arithmetic and usage of the abacus and students without any formal mental arithmetic training. The analysis is done through a simple Electroencephalogram (EEG) based gaming software, which measures the time needed for the players to focus and reach a specific attention level. An EEG device measures brain invoked potentials. Due to the availability of low cost commercial grade EEG devices, usage of these devices today, is not confined only to research and clinical purposes, but is being used beyond these applications. This study is an attempt to apply Brain Computer Interface (BCI) Technology to assess cognition. The performance of the first category was found to be better than the second set of students.
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