Informatics Publishing Limited

J. Vanitha ¹, C. Mallika ², A. Hema ², K. Durga ², S. Visalatchy ²

Affiliations
1 Department of MCA, E.G.S Pillay Engineering College, Nagapattinam, IN
2 Department of MCA, E.G.S Pillay Engineering College, Nagapattinam, IN

Abstract

The way people use computers is changing. Instead of data and programs being contained on the device of users, they will be held on servers in a server farm, and users will access the content via the Internet for a fee. Computer usage will become a service, with the benefits being reduced consumer costs, safer data, and more up-to-date programs. This service is known informally as cloud computing.

There are several problems with the development of cloud computing. For one, there is the large problem, as with all programs operating over the Internet, of security. For companies hoping to enter the software as a service (SAAS) market, this problem must be solved.

The three major companies entering the market of cloud computing are Google, Microsoft, and Apple. The various strengths and weaknesses of each, and the relations of these to the issue of cloud computing, will be explored in this presentation.

Keywords

Datacenters, Transaction, Resemblance, Subscription.

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R. Duga Lakshmi ¹, N. Ramya ¹, A. Hema ²

Affiliations
1 Department of MCA, E.G.S. Pillay Engineering College, Nagapattinam, IN
2 E.G.S. Pillay Engineering College, Nagapattinam, IN

Abstract

The pressures on today's system administrators to have secure systems are ever increasing. One area where security can be improved is in authentication and identification. Biometrics provides a promising solution meeting all demands. Biometric identification utilizes physiological and behavioral characteristics to authenticate a person's identity which include facial recognition, fingerprints, palm prints, hand geometry, retinal patterns and iris patterns and signature, voice pattern and key stroke dynamics. Many have suffered from high cost and unsatisfactory error rates. The newer emerging technology IRIS RECOGNITION, which uses the unique patterns of the human iris, overcomes previous shortcomings and provides positive recognition of an individual without contact or invasion, at extremely high confidence levels. The technology is accurate, easy to use, non-intrusive, and difficult to forge and, despite what many people may think is actually quite a fast.

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A. Hema ¹, E. Anna Saro ²

Affiliations
1 Department of Computer Applications, Manonmaniam Sundaranar University, IN
2 Department of Computer Applications, S.N.R Sons College, IN

Abstract

With the help of image mining techniques, an automatic pill identification system was investigated in this study for matching the images of the pills based on its several features like imprint, color, size and shape. Image mining is an inter-disciplinary task requiring expertise from various fields such as computer vision, image retrieval, image matching and pattern recognition. Image mining is the method in which the unusual patterns are detected so that both hidden and useful data images can only be stored in large database. It involves two different approaches for image matching. This research presents a drug identification, registration, detection and matching, Text, color and shape extraction of the image with image mining concept to identify the legal and illegal pills with more accuracy. Initially, the preprocessing process is carried out using novel interpolation algorithm. The main aim of this interpolation algorithm is to reduce the artifacts, blurring and jagged edges introduced during up-sampling. Then the registration process is proposed with two modules they are, feature extraction and corner detection. In feature extraction the noisy high frequency edges are discarded and relevant high frequency edges are selected. The corner detection approach detects the high frequency pixels in the intersection points. Through the overall performance gets improved. There is a need of segregate the dataset into groups based on the query image's size, shape, color, text, etc. That process of segregating required information is called as feature extraction. The feature extraction is done using Geometrical Gradient feature transformation. Finally, color and shape feature extraction were performed using color histogram and geometrical gradient vector. Simulation results shows that the proposed techniques provide accurate retrieval results both in terms of time and accuracy when compared to conventional approaches.

Keywords

Image Mining, Feature Extraction, Image Matching, Pill Images, Image Retrieval.

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R. Janarthanan ¹, A. Hema ¹

Affiliations
1 Department of Computer Applications, Kongunadu Arts and Science College, IN

Abstract

This study surveys the effectiveness of Prediction Systems that predominantly assess the quality of software. The quality of the software systems depends on functional and non-functional attributes. In this technological era, software quality prediction is one of the challenging tasks. It became an essential ingredient in many systems that produce reliable, cost effective and less complex software. Hence various researchers are deploying many faults-prone model systems with various testing traits as parameters to develop quality software. This paper surveys the pros and cons of software quality prediction systems that are based on fault- prone models with Software metrics of the quality systems and describes the different kind of measures in the field of software engineering.

Keywords

Software Quality, Software Metrics, Models, Prediction Features, Fault-Prone Systems.

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