oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2019 ( 8 )

2018 ( 9 )

2017 ( 12 )

2016 ( 15 )

Custom range...

Search Results: 1 - 10 of 3775 matches for " Anurag Jain "
All listed articles are free for downloading (OA Articles)
Page 1 /3775
Display every page Item
Design Hybrid method for intrusion detection using Ensemble cluster classification and SOM network
Deepak Rathore,Anurag Jain
International Journal of Advanced Computer Research , 2012,
Abstract: In current scenario of internet technology security is bigchallenge. Internet network threats by various cyber-attackand loss the system data and degrade the performance ofhost computer. In this sense intrusion detection arechallenging field of research in concern of networksecurity based on firewall and some rule based detectiontechnique. In this paper we proposed an Ensemble ClusterClassification technique using som network for detectionof mixed variable data generated by malicious software forattack purpose in host system. In our methodology SOMnetwork control the iteration of distance of differentparameters of ensembling our experimental result showthat better empirical evaluation on KDD data set 99 incomparison of existing ensemble classifier.
A review of Support Vector Clustering with different Kernel function for Reduction of noise and outlier for Large Database
Deepak Kumar Vishwakarma, Anurag Jain
International Journal of Advanced Computer Research , 2012,
Abstract: For a long decade clustering faced a problem of noise and outliers. Support Vector Clustering is one of the techniques in pattern recognition. Support Vector Clustering is Kernel-Based Clustering. Division of patterns, data items, and feature vectors into groups (clusters) is a complicated task since clustering does not assume any prior knowledge, which are the clusters to be searched for. Noise and outlier reduces the mapping probability of sphere in support vector clustering. Support vector clustering is inspired clustering technique form the support vector Machine. The prediction and accuracy of support vector clustering depends upon kernel function of hyper plane. Kernel function is a heart of classifier. In this paper we present review of support vector clustering technique for pattern detection and reorganisation for very large databases. The variation of performance of support vector clustering depends upon kernel of classifier. Here we discuss different method of kernel used in support vector clustering.
An efficient Support Vector Clustering with combined core outlier and boundary value for pre-processing of data
Deepak Kumar Vishwakarma, Anurag Jain
International Journal of Advanced Computer Research , 2012,
Abstract: The performance of support vector clustering suffered Due to noisy data. The pre-processing of data play important role in support vector cluster. In support vector clustering the mapping of data from one sphere to another sphere found some unwanted behaviour of data, these behaviour are boundary point, core and outlier. These data point degrade the performance and efficiency of support vector clustering. For the reduction of core, outlier and boundary value, we combined all dissimilar data and form COB model and data passes through genetic algorithm for collective collection of COB and reduce the COB value in data pre-processing phase. After reduction of COB support vector clustering are applied. Our empirical evaluation shows that our method is better than incremental support vector clustering and SSN-SVC.
Distributed Fault Simulation Algorithms on Parallel Virtual Machine
C. P. Ravikumar,Vikas Jain,Anurag Dod
VLSI Design , 2001, DOI: 10.1155/2001/58303
Abstract: In this paper, we describe distributed algorithms for combinational fault simulation assuming the classical stuck-at fault model. Our algorithms have been implemented on a network of Sun workstations under the Parallel Virtual Machine (PVM) environment. Two techniques are used for subdividing work among processors – test set partition and fault set partition. The sequential algorithm for fault simulation, used on individual nodes of the network, is based on a novel path compression technique proposed in this paper. We describe experimental results on a number of ISCAS′85 benchmark circuits.
A Review of Content Based Image Classification using Machine Learning Approach
Sandeep Kumar,Zeeshan Khan,Anurag jain
International Journal of Advanced Computer Research , 2012,
Abstract: Image classification is vital field of research incomputer vision. Increasing rate of multimediadata, remote sensing and web photo gallery need acategory of different image for the proper retrievalof user. Various researchers apply differentapproach for image classification such assegmentation, clustering and some machinelearning approach for the classification of image.Content of image such as color, texture and shapeand size plays an important role in semantic imageclassification. but the proper selection of feature arechallenging task of classification, so variousauthors apply some machine learning approach forimage classification such as decision tree, RBFnetwork, Markova model and support vectormachine. In this paper we review of machinelearning approach for image classification.
Near optimal bounds on quantum communication complexity of single-shot quantum state redistribution
Anurag Anshu,Vamsi Krishna Devabathini,Rahul Jain
Mathematics , 2014,
Abstract: We show near optimal bounds on the worst case quantum communication of single-shot entanglement-assisted one-way quantum communication protocols for the {\em quantum state redistribution} task and for the sub-tasks {\em quantum state splitting} and {\em quantum state merging}. Our bounds are tighter than previously known best bounds for the latter two sub-tasks. A key technical tool that we use is a {\em convex-split} lemma which may be of independent interest.
An IDS scheme against Black hole Attack to Secure AOMDV Routing in MANET
Sonal Shrivastava,Chetan Agrawal,Anurag Jain
Computer Science , 2015,
Abstract: In Mobile Ad hoc Network (MANET) all the nodes are freely moves in the absence of without ant centralized coordination system. Due to that the attackers or malicious nodes are easily affected that kind of network and responsible for the routing misbehavior. The routing is network is mandatory to deliver data in between source and destination. In this research we work on security field in MANET and proposed a novel security scheme against routing misbehavior through Black hole attack. The Ad hoc On demand Multipath Routing (AOMDV) protocol is consider for routing and also to improves the routing quality as compare to single path routing protocol. The attacker is affected all the possible paths that is selected by sender for sending data in network. The malicious nodes are forward optimistic reply at the time of routing by that their identification is also a complex procedure. The proposed Intrusion Detection System (IDS) scheme is identified the attacker information through hop count mechanism. The routing information of actual data is reached to which intermediate node and the next hop information is exist at that node is confirm by IDS scheme. The black hole attacker node Identification (ID) is forward in network by that in future attacker is not participating in routing procedure. The proposed security scheme detects and provides the deterrence against routing misbehavior through malicious attack. Here we compare the routing performance of AOMDV, Attack and IDS scheme. The performance of normal multipath routing and proposed IDS scheme is almost equal. The attacker has degrades the whole routing performance but observed that in presence of attacker, routing misbehavior is completely block by the proposed IDS scheme and recovers 95 % of data as compare to normal routing. Keywords- -AOMDV, MANET, IDS, Black hole attack, Routing misbehavior.
Corrosion Inhibition and Adsorption Behavior of Clove Oil on Iron in Acidic Medium
Archana Saxena,Anurag Sharma,Deepti Saxena,Praveen Jain
Journal of Chemistry , 2012, DOI: 10.1155/2012/764381
Abstract: Corrosion behavior of iron in hydrochloric acid solution was studied using weight loss as well Scanning electron microscopy study without and with clove oil. The percentage inhibition efficiency increases with increasing clove oil concentration. All the data revel that the oil acts as an excellent inhibitor for the corrosion of iron in HCl solution. Thermodynamic, kinetic parameters and equilibrium constant for adsorption process were calculated from the experimental data. The adsorption of clove oil on experimental metals was found to follow the Langmuir adsorption isotherm at all the concentration studies. Scanning electron microscope (SEM), investigations also indicate that clove oil greatly lowers the dissolution currents.
Effect of concentration of alkaline liquid and curing time on strength and water absorption of geopolymer concrete
Anurag Mishra,Deepika Choudhary,Namrata Jain,Manish Kumar
Journal of Engineering and Applied Sciences , 2008,
Abstract: In order to address environmental effects associated with Portland cement, there is need to use other binders to make concrete. An effort in this regard is the development of geopolymer concrete, synthesized from the materials of geological origin or by product materials such as fly ash, which are rich in silicon and aluminum. This paper presents results of an experimental study on the strength and absorption characteristics of geopolymer concrete. The experiments were conducted on fly ash based geopolymer concrete by varying the concentration of NaOH and curing time. Total nine mixes were prepared with NaOH concentration as 8M, 12M, 16M and curing time as 24hrs, 48hrs, and 72hrs. Compressive strength, water absorption and tensile strength tests were conducted on each of the nine mixes. Results of the investigation indicated that there was an increase in compressive strength with increase in NaOH concentration. Strength was also increased with increase in curing time, although the increase in compressive strength after 48hrs curing time was not significant. Compressive strength up to 46 MPa was obtained with curing at 60oC. The results of water absorption test indicated that % water absorption of cubes decreased with increase in NaOH concentration and curing time. Hence, geopolymar concrete has a great potential for utilization in construction industry as it is environmental friendly and also facilitates the use of fly ash, which is a waste product from coal burning industries.
Transdermal Delivery of Antihypertensive Agents: A tabular update
Ashish Jain,Anurag Mishra,Satish Nayak,Vandana Soni
International Journal of Drug Delivery , 2011,
Abstract: Transdermal Drug Delivery System is viable drug delivery platform technology and has a strong market world wide. Transdermal Drug Delivery System is particularly desirable for drugs that need prolonged administration at controlled plasma level that basis make appropriateness to antihypertensive agents for their transdermal development. Controlled zero order absorption, easily termination of drug delivery, easy to administration also support for popularity of transdermal delivery. This paper reviews the work on transdermal studies of antihypertensive agents in the tabular form. Keywords: Transdermal, Antihypertensive agents.
Page 1 /3775
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.