Entity

Time filter

Source Type


Latha P.H.,Atria Institute of Technology | Vasantha R.,Sambhram Institute of Technology
International Journal of Electrical and Computer Engineering | Year: 2015

The utmost security standards over Wireless Local Area Network (WLAN) are still an unsolved answer in research community as well as among the commercial users. There are various prior attempts in proposing security of WLAN that lacks focus on access point and is found to be quite complex implementation of cryptography. The proposed paper presents a novel, simple, and yet robust technique called as MDS-WLAN i.e. maximal data security in WLAN. The system is evaluated over laboratory prototype and mitigation measures are drawn for resisting wormhole attack, Sybil attack, and rogue access point issue in WLAN. The outcome of the MDS is compared with conventional AES and SHA that shows optimal communication performance and highest data security. Copyright © 2015 Institute of Advanced Engineering and Science. All rights reserved. Source


Huddar S.R.,WorldServe Education | Rupanagudi S.R.,WorldServe Education | Kalpana M.,RYMEC | Mohan S.,Atria Institute of Technology
Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013 | Year: 2013

With the advent of new technology in the fields of VLSI and communication, there is also an ever growing demand for high speed processing and low area design. It is also a well known fact that the multiplier unit forms an integral part of processor design. Due to this regard, high speed multiplier architectures become the need of the day. In this paper, we introduce a novel architecture to perform high speed multiplication using ancient Vedic maths techniques. A new high speed approach utilizing 4:2 compressors and novel 7:2 compressors for addition has also been incorporated in the same and has been explored. Upon comparison, the compressor based multiplier introduced in this paper, is almost two times faster than the popular methods of multiplication. With regards to area, a 1% reduction is seen. The design and experiments were carried out on a Xilinx Spartan 3e series of FPGA and the timing and area of the design, on the same have been calculated. © 2013 IEEE. Source


Mayaja N.A.,Atria Institute of Technology | Srinivasa C.V.,Global Academy of Technology
Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014 | Year: 2014

Kerala, one of the smallest States of South India, is blessed with forty-four rivers. River Pampa is the third largest river in the State of Kerala, 176km long with a catchment area of 2235Sq. km. Recurring tropical monsoon floods during every season, causing substantial damages, is one of the perennial problems experienced in this river basin. Studying rainfall trend in the river basin and its underlying features are vital in understanding the flood phenomena and its socio-economic impacts. The present study evaluates the trend of rainfall in the Pampa river basin, utilizing the data from five gauging stations. The time series of monthly and annual rainfalls for the past twenty two years have been analyzed statistically. Significant changes have been observed in the basin rainfall features - both seasonal and annual rainfall. © 2014, Capital Publishing Company. Source


Mayaja N.A.,Atria Institute of Technology | Srinivasa C.V.,Global Academy of Technology
Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014 | Year: 2014

The basin characteristics of Pampa River-the third largest river of the State of Kerala, flowing through the heart of central region of the State-has undergone tremendous variations in the recent past. Alternating cycles of recurring flood and drought has become a predominant feature of this river, which, once used to be a rich and sustainable source of water throughout the seasons and lifeline for a population. The rapid pace of urbanization, massive encroachment of river banks, deforestation, transition in the agricultural pattern etc transformed the land use pattern of this river basin. A large number of villages and densely populated regions on the bank of this river face the ravage of flood every year. In this context, this study attempts to evaluate the land use and land cover (LULC) changes occurred in Pampa river basin during the last decade i.e., 2001-2010, identify the human intervention factors as well as the possible impacts of these factors on the floods occurring in this river basin. © 2014, Capital Publishing Company. Source


Balasangameshwara J.,Atria Institute of Technology | Raju N.,Sri Ramakrishna Engineering College
Journal of Network and Computer Applications | Year: 2012

Due to the emergence of grid computing over the Internet, there is a need for a hybrid load balancing algorithm which takes into account the various characteristics of the grid computing environment. Hence, this research proposes a fault tolerant hybrid load balancing strategy namely AlgHybrid-LB, which takes into account grid architecture, computer heterogeneity, communication delay, network bandwidth, resource availability, resource unpredictability and job characteristics. AlgHybrid-LB juxtaposes the strong points of neighbor-based and cluster based load balancing algorithms. Our main objective is to arrive at job assignments that could achieve minimum response time and optimal computing node utilization. Major achievements include low complexity of proposed approach and drastic reduction of number of additional communications induced due to load balancing. A simulation of the proposed approach using Grid Simulation Toolkit (GridSim) is conducted. Experimental results show that the proposed algorithm performs very well in a large grid environment. © 2011 Elsevier Ltd. All rights reserved. Source

Discover hidden collaborations