S . Kamalakkannan ¹, V. Sandhya ¹, S. Mathivilasini ², P. Kavitha ³

Affiliations
1 Vels University, Chennai – 600117, Tamil Nadu, IN
2 Dr. M.G.R Educational and Research Institute, Chennai – 600095, Tamil Nadu, IN
3 St. Joseph College, Chennai – 600119, Tamil Nadu, IN

Abstract

Objectives: In recent years WirelessHART in sensor networks has gained significant importance. This significance is due to the enormous application of the distributed environment. Methods/Statistical Analysis: Since the computation for utilization of wireless technology in today’s environment plays an important role. The HART protocol in the distributed environment makes energy efficient design particularly challenging. Most of the automation networks in process industry based on location of field devices. Industrial requirements on wireless technologies have the high demand to focus on reliable and robust communication. Findings: Here we summarize the main factor that adopts different methods and techniques with clustering schemes for implementation work. We have also highlighted the benefits of WirelessHART in various fields.

Keywords

Sensor Nodes, WirelessHART, Wireless Technologies.

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P. Kavitha ¹, Anna Saro Vijendran ²

Affiliations
1 Department of Computer Science, S.N.R. SONS College, Coimbatore – 641006, Tamil Nadu, IN
2 Department of Computer Applications, S.N.R. SONS College, Coimbatore – 641006, Tamil Nadu, IN

Abstract

Objective: The main objective of this research is to preserve the edges and also remove the noise from high dynamic range videos during filtering process. This methodology attempts to preserve the original quality of the videos and achieves the better compression ration by compressing it with the concern of the edge preservation details. Methods: The system proposes a novel edge preserving LLSURE (Local Linear Model, Stein’s Unbiased Risk Estimate) surface estimator mechanism which is based on an adaptive local linear model and the principle of Stein’s Unbiased Risk Estimate (SURE). Generally, pixels in the edges and near to the edge are affected during noise filtering. Here the LLSURE filter is extended by using Edge-preserving surface estimator. The proposed estimator is used to leave some noise in the vicinity of edges and improve those edges during denoising process. Finally Weighted Residual Mean Squares (WRMS) is used for compute the quality of estimator. Findings: The performance evaluation was conducted to prove the efficiency of the proposed methodology by comparing it with the existing approach called OCP based video coding technique. The performance evaluation is conducted in terms of the parameters called the Peak Signal to Noise Ratio, Mean Square Error and Maximum error comparison. The experimental tests conducted were proves that the proposed methodology can lead to efficient preservation of the edge details during noise removal than the existing methodologies. Conclusion: The proposed procedure can remove the noise correctly in continuity or surrounding regions of the surface, and preserve discontinuities at the same time.

Keywords

Edge Preserving, LLSURE, Mean Integrated Error, Weighted Residual Mean Squares

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