Notice Board :

Call for Paper
Vol. 5 Issue 9

Submission Start Date:
September 01, 2019

Acceptence Notification Start:
September 10, 2019

Submission End:
September 15, 2019

Final MenuScript Due:
September 25, 2019

Publication Date:
September 30, 2019


                         Notice Board: Call for PaperVol. 5 Issue 9      Submission Start Date: September 01, 2019      Acceptence Notification Start: September 10, 2019      Submission End: September 15, 2019      Final MenuScript Due: September 25, 2019      Publication Date: September 30, 2019




Volume IV Issue III

Author Name
Rida Khan, Mrs.Nisha Bhati
Year Of Publication
2018
Volume and Issue
Volume 4 Issue 3
Abstract
A Wavelet Transform based image decomposition algorithm is proposed to identify the areas of interest in the brain related to in oxidation problems. The significant brain activations can be observed in Magnetic Response Imaging (Images) & EEG signals related various brain functions/ disorders. The image de-noising using wavelet transform and subsequently feature extraction for classification is the way of many researchers for classification of medical images. In this paper, the study of the brain feature extraction in MRI images using various techniques has been given. The different classifier has been reported in literature for the improvement of classification performance. The comparison of the different classification methods of the medical image database is also given in the paper.
PaperID
2018/IJRRETAS/3/2018/37617

Author Name
Niesh Jaiswal, Prof. Mayank Bhatt
Year Of Publication
2018
Volume and Issue
Volume 4 Issue 3
Abstract
In cloud computing, data is moved to a remotely located cloud server. Cloud server faithfully stores the data and return back to the owner whenever needed. Data and computation integrity and security are major concerns for users of cloud computing facilities. Today's clouds typically place centralized, universal trust in all the cloud's nodes.Hadoop is founded on MapReduce, which is among the most popular programming items for huge knowledge analysis in a parallel computing environment. In this paper, we reward a particular efficiency analysis, characterization, and evaluation of Hadoop MapReduce WordCount utility.
PaperID
2018/IJRRETAS/3/2018/37621

Author Name
Saba Khan, Mrs.Nisha Bhati
Year Of Publication
2018
Volume and Issue
Volume 4 Issue 3
Abstract
The Mobile WSN technique is having mobile nodes in the network. The both sensor nodes and mobile sink can be mobile or there can be mixed sensor nodes. The mobile as well as static sensor nodes in the network based on the application requirements. The routing in mobile WSN poses research issues as nodes are mobile, so it needs to send the data according to the routing protocol while it is moving. So the routing protocols have been proposed considering mobile nodes in the network focusing on research issues like packet loss, energy consumption, and delay. In this paper, the cluster based routing protocols that have been proposed for mobile wireless sensor network are discussed and comparison is done among them.
PaperID
2018/IJRRETAS/3/2018/37618