Work place: School of Computer Science and Engineering, VIT University, Chennai, 600 127, India
E-mail: justus.s@vit.ac.in
Website:
Research Interests: Computational Science and Engineering, Solid Modeling, Data Structures and Algorithms, Engineering
Biography
Dr. S. Justus received his doctorate degree from Madurai Kamaraj University, Madurai, India. His research specializations include Object-relational data modeling, knowledge engineering and Big Data.
He has been into academic research and has published several of his research work results in International Journals and Conferences – including SwSTE in Israel and DASMA in Germany. He has also practitioner’s experience while working with Software development companies.
He is a member of IEEE, ISTE, IAENG professional associations. He has served as research & project coordinator for PG studies at Engineering Institutes. Presently he is working as Associate Professor at VIT University, Chennai.
By S. Praveena Rachel Kamala S. Justus
DOI: https://doi.org/10.5815/ijmecs.2016.03.06, Pub. Date: 8 Mar. 2016
Smart world needs intelligent system for effective and timely decision making. This is achieved only through a knowledge based system with functional knowledge representation units. In this paper, two models are proposed for representing knowledge. This process involves in getting the data and placing the information in the correct location. Logical notations are used for taking the clauses and graph is used for putting the entities. In Model one, the data is translated into logical statements using predicate logics, later the knowledge is stored in conceptual graph and retrieved. Whereas in Model two, the given information is translated using First Order Logic (FOL), by applying description logic concept rules are defined and as a result reasoning is done. Storage is done by using concept-relation graph. The main aims of our models are to have easy and simple access over the information. These models return the required exact answer, for the higher order query posted by the end user to the intelligent system.
[...] Read more.By S. Justus Mohammed Sirajudin
DOI: https://doi.org/10.5815/ijmecs.2013.05.05, Pub. Date: 8 May 2013
Organizational Training and Learning are among the 22 key process areas in CMM. These two processes are subject for improvement based on its framework and execution. In this paper, we have worked on project-based frameworks for organizational training and learning and have attempted to validate them in the software developmental organizations and in an institution teaching software engineering.
The empirical validation is carried out with those case studies and significant results are obtained in assessing the improvement in the two process areas. Moreover, this work is also extended to accommodate improvement in the regular conventional OTL processes.
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