N. P Gopalan

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David Pierre Leibovitz

Carleton University

D Terence Langendoen

University of Arizona

Mihaela Breaban

Universitatea Alexandru Ioan Cuza Iasi

Aswani Kumar Cherukuri

VIT University

Mehmet Fatih Amasyali

Yildiz Technical University

Fabio Cuzzolin

Oxford Brookes University

Rigas Kotsakis

Aristotle University of Thessaloniki

Bogdan Gabrys

University of Technology Sydney

Solkjaer Ole

ACADEMY OF FINANCE

Mohamad Ivan Fanany

University of Indonesia

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Papers by N. P Gopalan

A dynamic context aware role based access control secure user authentication algorithm for wireless networks

Wireless communication has been deployed for the applications of Wireless networks. In wireless n... more Wireless communication has been deployed for the applications of Wireless networks. In wireless networks a dynamic context aware role based access control model can be used to improve the quality of any system and it can become a prominent technology for various systems. Therefore, the context data collected from various sources as in [7] this paper proposes a dynamic context aware authentication algorithm to incorporate the requirements for the security. In this algorithm the mutual authentication and the session key management, apart from the security features required are used. The proposed algorithm will be well suited in applications where dynamic context aware role based access control is required. In proposed algorithm the mutual authentication and session key information is specifically stored as a hashed function and using this set of data the Neural Network is trained. So that there is no need for this to be stored in tables. Thus, reducing the risk of being accessed. Ther...

Priority Based Scheduling for Heterogeneous Grid Environments

2006 10th IEEE Singapore International Conference on Communication Systems, 2006

Grids have emerged as paradigms for the next generation parallel and distributed computing. Compu... more Grids have emerged as paradigms for the next generation parallel and distributed computing. Computational grid can be defined as large-scale high-performance distributed computing environments that provide access to high-end computational resources. Grid scheduling is the process of scheduling jobs over grid resources. Improving overall system performance with a lower turn around time is an important objective of grid scheduling. In

Finding Frequently Occurring Paths of Flying Objects Using FP-Tree Approach

Data mining and knowledge engineering, 2011

During the last two decades frequent pattern mining has been an emerging and active field in data... more During the last two decades frequent pattern mining has been an emerging and active field in data mining research. In this work the process of applying algorithms to extract specific patterns from data sets from a particular domain plays a significant role. Ear-lier methods to mine frequently occurring paths of objects in spatial–temporal databases adopt complex algorithms and require many data-base scans. In this paper a modified frequent pattern tree (FP_tree) algorithm is used to find the frequently occurring paths of flying objects by two phase process. Initially, the flying object paths data-base (2D) is scanned to generate the condensed smaller data structure called FP_tree so as to compress the data and make traversal fast. Finally, the database is scanned using a partition based divide and conquer method to decompose the mining task into a set of smaller tasks for FP_tree based mining frequent paths of flying objects. The proposed algorithm outperforms the mining frequent tr...

Splay Thread Cooperation for Load Balancing in Speculative Parallelism and Gpgpu

International journal of advanced computer science, 2015

Abstract- The introduction of the speculative parallelism into any models can improve the perform... more Abstract- The introduction of the speculative parallelism into any models can improve the performance and provides significant benefits and increases the ILP and TLP. GPGPU is the future computing technology working with both CPU and GPU to solve many real-world problems not only the graphics problems but also the general purpose applications. In this paper a new mechanism or technique is proposed for workload balancing on the Graphics processors and CPU that can be implemented on the graphics processors along with the CPU. As GPU uses data parallelism tasks, the dynamic memory creation and the splay trees which are self adjusting allows for the increase in throughput and load balancing. The architecture of splay trees is such that frequently accessed nodes will come nearer to the root Where they can be accessed were quickly. The frequently used nodes near to the root are an advantage for finding locality of threads as well as for caching and garbage collection. This technique...

Deep Learning based Human Diseases Pattern Prediction Technique for High Dimensional Human Diseases Data Sets

For decades, more and more experimental researches have collectively indicated that microRNA (miR... more For decades, more and more experimental researches have collectively indicated that microRNA (miRNA) could play a vital role in many important biological processes and thus it also the pathogenesis of human complex diseases. It is also noticed that the resource and time cost requirement for processing data in traditional biological method is more expensive and thus more and more focusing have been paid to the enhancement of eff ective and accurate computational mechanisms for predicting potential associations between diseases. To focus towards this, researchers identified that Gene is not responsible for many Human Diseases and instead, diseases occur due to interaction of different group of genomes that is responsible for different diseases. Hence it is very important to analyze and associate the complete genome sequences and its associations to understand or predict various possible human diseases. To identify and predict the associations between diseases, We earlier proposed the ...

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