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Elango, N. M.
- A Study about Concepts, Virtualization, Benefits and Challenges of Cloud Computing
Abstract Views :164 |
PDF Views:4
Authors
G. Sekar
1,
N. M. Elango
2
Affiliations
1 Bharathiar University, Tamilnadu, IN
2 R. M. K. Engineering College, Gummudipoondi, Tamilnadu, IN
1 Bharathiar University, Tamilnadu, IN
2 R. M. K. Engineering College, Gummudipoondi, Tamilnadu, IN
Source
Networking and Communication Engineering, Vol 4, No 12 (2012), Pagination: 738-742Abstract
Cloud computing is a tremendous buzz in IT industry. It is nothing but computing with internet. Many diagrams showing internet will have the cloud symbol. Since internet is the key for this computing, it is named as ―cloud‖ computing. Instead of buying everything for an application, it simply hires processor, storage, network and even database. User has to simply establish the connection with the cloud in order to have the access over the resources. The cloud is not simply the latest fashionable term for the Internet. Though the Internet is a necessary foundation for the cloud, the cloud is something more than the Internet. The cloud is where we go to use technology when we need it, for as long as we need it, and not a minute more. The cloud can be both software and infrastructure. It can be an application we access through the Web or a server that we provision exactly when we need it. Grid computing is the easiest application architecture to migrate in to the cloud. A grid computing application is processor-intensive software that breaks up its processing into small chunks that can then be processed in isolation. The cloud makes it cheap and easy to build a grid computing application.Keywords
Cloud, Data Center, Virtualization.- Medical Image Classification using Hybrid classifier by Extending the Attributes
Abstract Views :217 |
PDF Views:0
Authors
Affiliations
1 Department of Information Technology, AVCCE, IN
2 Madanapalle Institute of Technology and Science, IN
1 Department of Information Technology, AVCCE, IN
2 Madanapalle Institute of Technology and Science, IN
Source
Indian Journal of Science and Technology, Vol 9, No 6 (2016), Pagination:Abstract
Background/Objective: To create a Computer Aided Diagnosis system to detect the abnormalities in the human tissue images by extending the attributes. Methods/Statistical Analysis: An efficient and hybrid classifier using "K-Ratio Super Item set Finding-Nearest Neighborhood Classifier (KRSIF-NNC) Algorithm" is proposed. It classifies the tumor cells in an effective manner by adopting extended attributes from small datasets. The glioblastoma and lung cancer tissue image samples are keyed in to the algorithm which classifies them into four grades. Findings: From the histopathology (tissue) images the pathologists will be able to diagnose the abnormalities in the tissues. Examination and judgments are based on the pathologist's personal experience. The problem is during the manual diagnosis, there is a chance of missing some cancerous cells in the tissue images. This is solved by adopting the proposed classifier which automatically do the diagnostic process and classify it into proper grade. Thus the proposed classifier improves the classification process. Applications/Improvements: Improved classification is required to detect the cancer grades. This hybrid approach has better classification accuracy than other approaches with 4% improvement which is very essential.Keywords
Extending Attributes, Hybrid Classifier, KRSIF-NNC, Tissue Images Naïve Bayes Classifier- Analysis of Cybercrime Investigation Mechanism in India
Abstract Views :172 |
PDF Views:0
Authors
M. Elavarasi
1,
N. M. Elango
2
Affiliations
1 Bharathiar University, Coimbatore - 641046, Tamil Nadu, IN
2 School of Information Technology and Engineering, VIT University, Vellore - 632014, Tamil Nadu, IN
1 Bharathiar University, Coimbatore - 641046, Tamil Nadu, IN
2 School of Information Technology and Engineering, VIT University, Vellore - 632014, Tamil Nadu, IN