Work place: Tavant Technologies, Bangalore
E-mail: susilrayaguru@gmail.com
Website:
Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Data Mining, Data Structures and Algorithms
Biography
Susil Rayaguru is presently working as Technical Lead at Tavant Technologies, Bangalore. He has received his Master degree in Computer Application from Indira Gandhi National Open University, New Delhi and M.Tech in Computer Science and Engineering from Biju Patnaik University of Technology, Rourkela. He has published number of research papers in different international journals and conferences of repute. His area of research includes Data Mining, Soft Computing and Internet and Web Technology.
By Mahendra Kumar Gourisaria Susil Rayaguru Satya Ranjan Dash Sudhansu Shekhar Patra
DOI: https://doi.org/10.5815/ijisa.2018.04.07, Pub. Date: 8 Apr. 2018
The numbers of educational institutions are growing at par with the lost student rate in a country like India. When a missing student is found we need to identify the student on the strength of some common parameter like student name, his/her institution name, branch or class etc. But we never get accurate and complete information in most of the cases to identify or recognize a lost student. In such a situation, a soft computing model can be a striking choice to track a lost student on the basis of partial information. In the past we propose soft computing model for the same. This paper proposes a more optimized parallel soft computing model which takes half of the time taken by the earlier single thread model for identifying a lost student on the basis of imprecise and partial information. The system is tested meticulously on a database of 50000 records and an efficiency of 94% is obtained.
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