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Kalaivani A.,Coimbatore Institute of Technology | Ananthi B.,Vellalar College for Women
International Journal of Applied Engineering Research | Year: 2015

The nature of cloud environment is to share data between different users but the integrity management is the key issue which has been handled by various approaches like attribute based schemes and others. The most approaches struggles with the problem of maintaining integrity of shared data and providing public auditability. We propose a one step integrity management and public auditing scheme to improve the data public auditability in cloud environment. The data owner generates different keys to perform encryption and decryption of the data stored in the cloud. The keys can be accessed by the users who are registered in the cloud environment and they are allowed to perform modification on the data. The modification performed will be reflected and the data owner has to ensure the originality of the data. Upon modification, the audit server communicates with the data owner which verifies the modified information using the Meta data of the original data. The data owner keeps track of information signature like number of zeros or ones padded to each block of the data. Whenever the user performs modification, the public auditor communicates with the data owner to verify the block being modified, if the data owner accepts the changes then the modification will be reflected on the shared data. The proposed approach provides more data integrity and improves the public auditability of the cloud environment. © Research India Publications. Source


Kavitha R.,Vellalar College for Women
International Journal of Pharma and Bio Sciences | Year: 2014

Trichosanthes dioica and Clitoria ternatea were traditional plants that were used for the treatment of diabetes mellitus, stress and depressant. The present work was undertaken to evaluate the antihyperglycemic effect of individual and combined ethanolic extracts of these two different herbs to study the blood glucose level and the activities of some carbohydrate metabolizing enzymes in liver of normal and STZinduced diabetic rats. The extracts were administered orally to the diabetic rats for 28 days, resulted in significant decrease of blood glucose and decrease the activities of glucose-6-phosphatase and fructose-1,6-bisphosphatase and increase the activities of glucokinase, pyruvate kinase and glucose-6-phosphate dehydrogenase. From the studyn it was revealed that combined plant extract was more effective for treating diabetes mellitus. Source


Karunambigai M.G.,Sri Vasavi College | Parvathi R.,Vellalar College for Women | Kalaivani O.K.,T John Institute Of Technology
IEEE International Conference on Fuzzy Systems | Year: 2011

Atanassov [1][9][10] defined Intuitionistic Fuzzy Graphs(IFGs) using five types of Cartesian products. In this paper IFGs so defined are named. Homomorphism, weak isomorphism and co-weak isomorphism of minmax IFGs are defined with suitable illustrations. Some of the properties of isomorphism on IFG and isomorphism on strong IFG are also analyzed. © 2011 IEEE. Source


Parvathi R.,Vellalar College for Women | Malathi C.,Gobi Arts and Science College | Akram M.,University of Punjab | Atanassov K.T.,Bulgarian Academy of Science
Fuzzy Optimization and Decision Making | Year: 2013

Linear regression analysis in an intuitionistic fuzzy environment using intuitionistic fuzzy linear models with symmetric triangular intuitionistic fuzzy number (STriIFN) coefficients is introduced. The goal of this regression is to find the coefficients of a proposed model for all given input-output data sets. The coefficients of an intuitionistic fuzzy regression (IFR) model are found by solving a linear programming problem (LPP). The objective function of the LPP is to minimize the total fuzziness of the IFR model which is related to the width of IF coefficients. An illustrative example is also presented to depict the solution procedure of the IFR problem by using STriIFNs. © 2012 Springer Science+Business Media New York. Source


Suguna J.,Vellalar College for Women
International Review on Computers and Software | Year: 2013

Human Interaction is an essential aspect to recognize communicative data in various applications including medical diagnosis and human-computer interaction. Mining human Interaction in meetings is very helpful to determine reactions of persons in different scenarios. Behavior denotes the nature of the person and mining helps to examine the exhibition of one's opinion. This research work presents a novel technique to mine frequent patterns of human interaction based on the meetings. In this proposed approach, human interaction flow in a discussion session is denoted as a tree. Tree-based interaction mining of Weighted Interesting Pattern mining algorithms are designed to analyze the structures of the trees and to extract interaction flow patterns. The experimental results shows that several interesting patterns are efficiently extracted which are useful for the interpretation of human behavior in meeting discussions, such as determining frequent interactions, typical interaction flows, and relationships between different types of interactions. © 2013 Praise Worthy Prize S.r.l. - All rights reserved. Source

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