Informatics Publishing Limited

R. Punidha ¹, S. Anisha Vincy ², Mary Judith ², D. Ramya ²

Affiliations
1 Department of Computer Science and Engineering, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, IN
2 Department of Information Technology, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, IN

Abstract

Background/Objectives: The main objective of the proposed work is to get the permission for accessing element through remote authentication by hiding encrypted biometric signal within image of the user. Methods/Statistical Analysis: The biometric signal is encrypted using Arnold transform algorithm and hided into the cover image with Qualified Significant Wavelet Tree (QSWT). The image of the person is denoted as cover image. The Compressed cover image gets transmitted over wireless channel for remote authentication. The Inverse Wavelet Transform is used to separate encrypted signal and the cover image. The biometric signal gets decrypted by inverse Arnold transformation algorithm. Findings: The Arnold transform algorithm increases the Normalized Cross Corelation (NCC) value for normalizing the image in order to improve the quality of reconstructed image. Hence, the Mean Square Error (MSE) is decreased and Peak Signal to Noise Ratio (PSNR) value is increased in the proposed work. And so the error is minimized in the proposed system compared to the existing techniques. The problems identified in the existing systems such as data loss, complexity and accuracy in biometric signal has been overcome by the proposed system. Application/Improvements: The proposed system can be used in military purposes for sharing confidential data. The data can be accessed over remote areas in secured maner.

Keywords

Arnold Transform Algorithm, Authentication, Biometric Signal, Remote Systems, QSWT

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S. Arunachalam , D. Ramya , P. K. Nithyha

Abstract

This paper compares the transmission loss allocation procedures through tracing using proportional sharing rule and provides a detailed comparison of three alternative methods: 1) Graph based tracing 2) Matrix based tracing and 3) Complex power flow tracing. The methods are based on tracing the real and reactive power flow through the network and determining the share of each load on the flow and losses through each line. Power flows of generators and loads are traced to determine the transmission system usage by each generator and load. Then transmission losses caused by each generator or load are determined. Unbundling, (electric energy can be separated commercially as a product from transmission as a service) an idea, which the current deregulation market hinges on is carried out and considers the coupling between active and reactive power flows as well as the cross effects of active and reactive power on active and reactive losses. Tracing algorithms which can be considered direct to a good extent are implemented for these three methods. A case study based on a four bus system is provided and results obtained using MATLAB code is presented.

Keywords

Deregulated Power System, Loss Allocation, Power Flow Tracing.

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