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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.


Archana J.N.,Atria Institute of Technology | Aishwarya P.,Atria Institute of Technology
2015 International Conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2015 | Year: 2015

Geographic data visualization is concerned with displaying quantitative information on a map which combines both abstract and physical data. Geographic maps are constructed based on reference parameters. These resultant maps with graphical information are data driven, but can be considered as static images and can be enhanced for better visual quality. These images need to be sharpened to bring out their acute differences so as to enhance better display of information and increase the accuracy. This paper is aimed at enhancing the geographic data visualization images using wavelet based unsharp masking (WUM) algorithm. The noise information is obtained as a resultant from edge detection based on Discrete Wavelet Transform (DWT). WUM is used to sharpen the DWT image. Algorithm used and the experimental results for various levels of sharpening per geographical image is explained and illustrated. © 2015 IEEE.


Srimani P.K.,Bangalore University | Mahesh S.,Atria Institute of Technology
Advances in Intelligent Systems and Computing | Year: 2014

Microarray is a technology which allows biologists to potentially monitor the activity of all the genes of an organism. Microarrays, widely recognized as the next revolution in molecular biology, enables scientists to analyze genes, proteins and other biological molecules on a genomic scale. Image processing is the first step in knowledge discovery from the microarray. The process of extracting features consists of three stages: gridding, segmentation and quantification. Gridding is to assign each spot with individual coordinates. This paper presents a fully automatic grid configuration algorithm for detecting the microarray image spots as input, and makes no assumptions about the size of the spots, and number of rows and columns in the grid. The approach is based on the detection of an optimum sub image. This method is capable of processing the image automatically and does not demand any input parameters. Experimental result shows that this method is highly efficient method of gridding that uses intensity projection profile. © Springer International Publishing Switzerland 2014.


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.


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.


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.


Balasangameshwara J.,Atria Institute of Technology | Raju N.,Coimbatore Institute of Technology
Proceedings - 2010 International Conference on Computational Intelligence and Communication Networks, CICN 2010 | Year: 2010

Availability of grid resources is dynamic, which raises the need to develop robust and effective applications against changing circumstances. A major challenge in a distributed dynamic grid is fault tolerance. The more resources and components involved the more complicated and errorprone the system becomes. In a grid with potentially thousands of machines connected to each other, the reliability of individual resources cannot be guaranteed. Hence, the probability of failure is higher in grid computing and the failure of resources affects task execution fatally. Therefore, a fault tolerance model is essential in grid. Also grid services are often expected to meet some minimum levels of Quality of Service (QoS) for a desirable operation. Common fault tolerance techniques in computational grid are normally achieved with checkpoint-recovery and task replication on alternative resources in case of a system outrage. However, the load balancing with fault tolerance strategies applied for a grid suffer from several deficiencies: some load balancing with fault tolerance models use checkpoint-recovery techniques to tolerate failures which leads to increase in average wait time thereby increasing the mean response time, while other models depend on task replication to tolerate failures which reduces grid efficiency in terms of optimal resource utilization under varying load. To address these deficiencies, an efficient fault tolerant load balancing model named as "Optimal Neighbour" (OP) model has been proposed. The fault tolerant load balancing model is dynamic, decentralized and symmetric initiated. The simulation results show that the "Optimal Neighbour" (OP) fault tolerant load balancing model yields better results when compared with the novel fault tolerant load balancing model. © 2010 IEEE.


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.


Bharadwaj A.K.,Atria Institute of Technology
Proceedings of the 2014 IEEE International Conference on MOOCs, Innovation and Technology in Education, IEEE MITE 2014 | Year: 2014

Graduate programs in engineering have theoretical courses like Software Engineering, Information Systems, Advanced Software Engineering, Software Architecture, Management and Entrepreneurship as part of the curriculum. These courses are challenging from both the students' and the instructors' points of view. From student feedback it has been seen that they view these subjects uninteresting due to a lack of practical component. The instructor's responsibility increases in making such theoretical subjects interesting for the students. These courses impart certain unique skills which the students need to apply in their professional careers. But the Lecture method which is still the most practiced and preferred one does not provide for active student involvement. To combat this problem a variety of teaching modes have been developed from different learning theories. Several of these techniques are in use in Post-graduate courses and corporate training courses where the number of participants is less. The author has tried some of these techniques like story-telling or case study approach, involved assignment and group correction, reverse knowledge transfer, i.e. teaching by students, etc. while teaching Information Systems for two sections of undergraduate students and has found reasonable success. This paper describes the techniques used by the author, the methodology, the implementation and the results thereof. Attempt has been made using quizzes/tests to draw conclusions about the viability and applicability of these innovative techniques in classes where the number of students is more than fifty. © 2014 IEEE.


Keshavamurthy,Atria Institute of Technology | Varughese D.K.,Karpagam College of Engineering
Research Journal of Applied Sciences, Engineering and Technology | Year: 2014

This study aims at implementing a prototype of remote lab to carry out various real time electronic experiments using Wireless Technology as technology is ever growing and there is always a scope for future advancements. The ongoing integration of telecommunications with the learning and collaboration process has enabled many of the engineering projects to take advantage of the remote access to laboratories that it allows. Remote laboratories allow users to perform experiments and laboratory tasks without being near the actual equipment. Remote learning has matured over the number of years to provide a realistic and important support mechanism in which practical laboratory based experimentation work can be undertaken by remote learners, who are provided with access to facilities that they would not otherwise necessarily be able to utilize. To complement the theoretical learning process, many universities want their students to study in the lab, as lab work has great significance in the faculty of Engineering. It is also more important for the students to 'apply' learnt theoretical concepts in the lab and observe the cause-effect relationship to grasp any topic. This prototype of Remote lab was implemented using PIC microcontroller and MPLAB IDE. The signal generated at the source was transmitted to the distant remote node using Zigbee. The wirelessly received signal was subjected to some signal conditioning techniques and after processing was displayed on the CRO. Several test cases were carried out by varying the characteristics of the signal at the source, like amplitude, frequency, phase and the response was observed with the corresponding changes being updated at the receiver of the remote lab, displayed on CRO in real time. © Maxwell Scientific Organization, 2014.

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