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Proceedings of the IEEE International Conference on Soft-Computing and Network Security, ICSNS 2015 | Year: 2015

Satisfiability degree measures the extent of a propositional formula to be true. Existing propositional matrix search algorithm computes the satisfiability degree of a propositional formula without considering the dependencies between the propositional atoms. There may exist dependencies between the propositional atoms and if exists it can be used to simplify the computation of propositional matrix search algorithm. In the proposed dependency propositional matrix search algorithm the dependencies are represented as a dependency matrix. The truth detector phase of dependency propositional matrix search algorithm considers the dependency matrix to compute the satisfiability degree of a propositional formula. Experimental results show that the proposed algorithm is effective than the existing algorithm if there are more dependencies between the propositional atoms. © 2015 IEEE. Source

Mallikarjuna Reddy D.,REVA ITM | Krishna P.,Indian Institute of Technology Madras
Structural Control and Health Monitoring | Year: 2015

A new approach to sensitize detecting structural damage using empirical mode decomposition (EMD) of the spatial signals is proposed. The difference of undamaged and damaged spatial strain and strain energy data for the beam and bridge modes is processed through the EMD, which yields the respective IMF1, which shows that damage location can be identified distinctively for as low as 0.01% reduction in elemental stiffness of beam discretized with 30 elements. An analysis was also carried out for a two-dimensional bridge model (I-40). It can detect damage sensitivity up to 0.5% loss in stiffness of the bridge. EMD as a spatial analysis tool seems to be the most sensitive among all methods currently available. Copyright © 2014 John Wiley & Sons, Ltd. Source

Birje M.N.,Basaveshwar Engineering College | Manvi S.S.,REVA ITM | Das S.K.,University of Texas at Arlington
Proceedings of 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing, PDGC 2012 | Year: 2012

The consumers in a wireless grid will prefer reliable and cost optimal resources for job execution, while the grid service providers prefer efficient utilization of their resources. Hence brokering of resources that meet the requirements of consumers and providers is a challenging task in presence of unstable (wireless) network connections, market dynamics and rational users. This paper models a resource pricing strategy using a non-cooperative bargaining game for resource allocation considering dynamics in the grid market. The proposed scheme is simulated to evaluate the performance parameters like offered price, surplus, negotiation time and job completion time. We observed that our scheme performs better than existing scheme in terms of negotiation time and job completion time. © 2012 IEEE. Source

Vijaya Kumar B.P.,REVA ITM
2010 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2010 | Year: 2010

The most important challenge in Wireless Sensor Networks (WSNs) is to improve the operational efficiency in highly resource constrained environment based on dynamic and unpredictable behaviour of network parameters and applications requirement. In this paper we have proposed a method for clustering and their analysis to study the cluster formation, their behaviour with respect to the system parameters and applications requirement. The technique involves the adoption of computational intelligence to form clustering. We have used Nero-Fuzzy technique to obtain Dynamic clustering. The simulations are carried out to evaluate the performance of the proposed method with respect to different parameters of sensor node and applications requirement. © 2010 IEEE. Source

Bhat S.,VTU | Sidnal N.S.,L.E.S.S. | Manvi S.S.,REVA ITM
Communications in Computer and Information Science | Year: 2011

Healthcare organizations are facing the challenge of delivering high-quality services through effective process management at all levels- locally, regionally, nationally, and internationally. There have been frequent changes of clinical processes and increased interactions between different functional units. Software agents were adopted to provide the means to accomplish real-time application, due to their autonomous, reactive and/or proactive nature, and their effectiveness in dynamic environments by incorporating coordination strategies. Multi Agent Systems (MAS) will helps in minimizing the waiting time of patient and cost of the care also it can be used to represent the real conditions, courses, and the human decision behavior. This paper presents an overview of health care system, intelligent software agents and integration of both to achieve better Quality of service. © 2011 Springer-Verlag. Source

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