Call for Comming Issue
 

Volume 1, Issue 4 September 2013

S.No. Title Page No.
01
Importance of XML in evaluating the queries over the information
Dr. Nikhil Goyal
Abstract : XML currently becomes a regular for the varied businesses within the world. Manipulation of the info and evaluating the queries over the info within the XML documents is extremely important. The assortment schemes use varied labeling schemes for the static and dynamic XML document. The performance of the question system depends on the method of obtaining the info from the document. The persistent labels assigned to the node can facilitate to get the structural data like ancestor-descendant relationship among the nodes of the XML knowledge whereas querying. In the case of dynamic XML, the document permits the operations like inserting, deleting and change nodes within the XML document. significantly for the oftentimes modified documents, the labels assigned to the nodes are affected. Most of the existing labeling schemes need the re-computation whereas changes happen. The planned system NSAX( New theme for Accessing XML) can avoids this drawback and conjointly provides the method of mistreatment the deleted labels. Moreover, the system provides how of authentication to the documents. The access control label is assigned to the nodes such it describes the roles that may access the nodes in addition because the level of the nodes in which the nodes gift within the document. The experimental results show that the development within the performance of the system.
001-008
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02
Case Study of Image retrieval technique
Mr. Arun Verma, Ms. Punam Goyal
Abstract: This work discusses novel image retrieval ways primarily based on edge texture of pictures extracted victimization morphological edge extraction techniques. Twenty one variations of projected image retrieval techniques victimization seven image transforms have been mentioned. The projected image retrieval techniques ar tested on generic image info with a thousand pictures unfold across 11 classes. altogether fifty five queries (5 from every category) are unemployed on the image info. The common preciseness and recall of all queries are computed and thought of for performance analysis.
009-015
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03
A system for medical based on fuzzy rules
Dr. Nupur Singh
Abstract: In this paper we tend to style a fuzzy rule based mostly medical model to notice and diagnose carcinoma. The illness is determined by employing a rule base, inhabited by rules created for different types of carcinoma. The algorithmic rule uses the output of the rule base (i.e. the illness name) and therefore the symptoms entered by the user; it additionally uses the priority and severity values to see the stage of cancer the patient is in. each these results (disease name and stage) facilitate the diagnostic logic to see the treatment for the patient with accuracy. Our diagnosing deals with a fancy analysis of all the knowledge gathered about our symptoms. Domain expert’s information is gathered to generate rules and keep within the rule base and therefore the rules ar laid-off when there exist acceptable symptoms.
016-026
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04
A Method for to replacement weight primarily based bunch algorithmic rule to improve the performance of wireless technology
J. Tornoo
Abstract:Ad hoc networks square measure wireless, infrastructure less, multi-hop, dynamic network established by a group of mobile nodes that provides important options to the trendy communication technologies and services. In ad-hoc networks, clustering is a vital and acquainted technique to divide the large network into many sub networks. In keeping with the dynamic topology the bunch is considers as difficult process in unexpected networks. During this paper, we have concentrated to style a replacement weight primarily based bunch algorithmic rule to improve the performance during this wireless technology. Simulation experiments square measure conducted to guage the performance of our algorithmic rule within the transmission vary, number of nodes and most displacement. Results square measure shown that our algorithmic rule performs higher than existing g algorithms.
027-031
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