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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.

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.

Nayaka R.J.,ITI Ltd | Biradar R.C.,REVA ITM
2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014 | Year: 2015

Public utilities such as water, electricity and gas are essential services in our daily life. These services play a vital role in socio-economic development. Governments are ultimately responsible for ensuring access of these services under accountable regulatory frameworks. Increased population and demand for utilities requires new architecture for automated management and control of public utility services. Wireless sensor network based solutions is proposed for these solutions. It consists of large number of nodes at user premises. The data aggregation becomes critical as size of network grows. In this paper we propose novel topology, frame format and protocol for cluster based data aggregation for public utility control and management. © 2014 IEEE.

Patii K.K.,REVA ITM | Vijayakumar B.P.,MSRIT
Proceedings of the 2012 World Congress on Information and Communication Technologies, WICT 2012 | Year: 2012

Ubiquitous computing is shifting healthcare from treatment by professionals in hospitals to self-care, mobile care, home care and preventive care. In order to support the healthcare evolution. a global healthcare system, which links healthcare service providers to an individual's personal and physical spaces, is expected to provide personalized healthcare services at the right time, right place and right manner. Developing a personalized, user-centric system to provide a peaceful and a better quality life is one of today's challenging issue. This paper discusses on Cognition based context-aware personal medical assistance application. The idea of how we can use a smart phone to learn about the user's daily life pattern in a cognitive way and provide him assistance wherein a smartphone learns about user's daily life pattern in a cognitive way and provide him assistance based on contextual input. This research work describes design and development of mobile application based on cognitive algorithm. The project is designed, developed and being tested at Nokia N-900 device. © 2012 IEEE.

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.

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.

Dayananda M.S.,REVA ITM | Priyanka J.,KNSIT
Proceedings of 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies, ICACCCT 2012 | Year: 2012

Software-Defined Radio (SDR) is a rapidly evolving technology that is receiving enormous recognition and generating widespread interest in the telecommunication industry. Over the last few years, analog radio systems are being replaced by digital radio systems for various radio applications in military, civilian and commercial spaces. In addition to this, programmable hardware modules are increasingly being used in digital radio systems at different functional levels. Commercial wireless communication industry is currently facing problems due to constant evolution of link-layer protocol standards (2.5G, 3G, and 4G), existence of incompatible wireless network technologies in different countries inhibiting deployment of global roaming facilities and problems in rolling-out new services/features due to wide-spread presence of legacy subscriber handsets. SDR technology aims to take advantage of these programmable hardware modules to build an open-architecture based radio system software. The digital signal processing chains can be implemented in software (software-defined radio [SDR] application) running on general-purpose hardware (SDR platform). Ongoing advances in radio engineering and digital signal processing necessitate employing processor array and automatic resource allocation tools that provide computing resources on demand. This paper explains how software-defined radio (SDR) clouds combine SDR concepts with cloud computing technology for designing and managing future base stations. © 2012 IEEE.

Ahmed R.Z.,Reva ITM | Biradar R.C.,Bangalore University | Chaudhari S.S.,Reva ITM
Computers and Electrical Engineering | Year: 2016

This paper proposes a Cluster-Based Data Aggregation (CBDA) method for identifying pests in Arabica Coffee plantation using Wireless Sensor Networks (WSNs). Acoustic signals that are generated with biting sound by the pests inside stem are captured by WSN. Information regarding existence of pests is aggregated at Cluster-Head (CH) and is conveyed to base station. CH is selected using five states of each node: i-band, o-band, cluster-head request, idle and cluster-head. CH performs data aggregation with residual energy, time stamp using Kolmogorov's zero-one law to eliminate redundancy. Simulation analysis of CBDA is compared with fast local clustering, energy-efficient reliable data aggregation technique and energy-efficient data aggregation transfer in terms of aggregation ratio, message overhead, control overhead, packet delivery ratio, algorithmic complexity, delay, energy consumption, time-out period and clustering time. The CBDA simulation results outperform compared to the corresponding techniques. © 2016.

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.

Joshi P.V.,REVA ITM | Gurumurthy K.S.,REVA ITM
Proceedings of the IEEE International Caracas Conference on Devices, Circuits and Systems, ICCDCS | Year: 2014

Real Time Embedded systems are characterized by the presence of a processor, on which application specific programs have to run. These application specific dedicated programs are called 'Embedded Software or Firmware'. Since most of the activity of the processor is controlled by the software, its efficient design plays a key role in the system design. Efficient software or firmware programming also leads to high performance embedded systems. Also in the present scenario ARM based processors are most widely accepted for higher end applications. Hence in this paper we mainly focus on the analysis and optimization of the Embedded software code running on ARM processors. Various techniques like data dependency, loop optimization, etc., are investigated and studied to enhance the performance of the software in terms of code density, speed of operation, both at high level (Embedded-C) and at the assembly level. Comparing the obtained results with the works in the literature, shows an improvement of 40% with respect to the code density and by 30% in the speed of operation. Further efficient embedded firmware like linear convolution and LCD module are designed by using various optimization techniques. All the simulations are carried out using the IAR workbench. © 2014 IEEE.

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