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Wireless Transmission Based Image Quality Analysis Using Uni-Level Haar Wavelet Transform

Circuits and Systems 2016年第8期7卷 1816-1821页

作者： K. Senthamilselvan lakshmi dhevi Department of Electronics and Communication Engineering Dhanalakshmi College of Engineering Chennai India Research Scholar Anna University Chennai India

This article deals with picture excellence examination by different parameters utilizing uni-level Haar wavelet transmission in excess of remote channel. The quality is analyzed based on power. The goal is towards reducing absolute power assigned in favour of picture compression and communication, while power in favour of every bit is reserved at prearranged value. Two Power Algorithms were presented. The greatest iterative power control calculation and Minimum Power Adaptation Algorithm (MPAA) are proposed. Those algorithms methodology was utilized for improving the aggregate power dispensed for multimedia such as picture because of input compression and transmission focus towards a settled bit source mutilation. Simulations were performed utilizing Haar wavelet than Additive White Gaussian Ration (AWGN) channel. Different picture excellence parameters, for example, Peak Signal to Noise Ratio (PSNR), M-Normalized Cross-Correla- tion, Average Difference;Structural Content parameters, for example, Maximum Difference, Normalized Absolute Error, Elapsed Time, CPU time, demonstrate a improved presentation with MPAA, Maximum Power Adaptation Algorithms (MAPAA) instead of Conventional Power Adaptation Algorithm (CPAA).

关键词： Uni-Level Haar Wavelet Maximum Minimum Additive White Gaussian Ration (AWGN) Minimum Power Adaptation Algorithm (MPAA) Maximum Power Adaptation Algorithms (MAPAA) Conventional Power Adaptation Algorithm (CPAA)

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Analgesic and Anti-Arthritic Effect of <i>Enicostemma littorale</i>Blume

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Advances in Bioscience and Biotechnology 2014年第13期5卷 1018-1024页

作者： Mohamed M. Shabi Subashini Uthrapathy Chellappan David Raj Gayathri Krishnamoorthy dhevi Ravindhran Jipnomon Joseph Victor G. Rajamanickam Department of Pharmacy Asia Metropolitan University Cheras Malaysia Centre for Advanced Research in Indian System of Medicine (CARISM) SASTRA University Thanjavur India Department of Pharmacology Amrita School of Pharmacy Amrita Institute of Medical Science (AIMS) Amrita Vishwa Vidyapeetham University Kochi India Centre for Research Sairam Group of Institutions Chennai India

Enicostemma littorale (Blume), the folk medicine is used for rheumatic pain and it was selected for scientific validation. The 85% methanolic extract obtained from the whole plant of Enicostemma littorale has been assessed for analgesic and anti-inflammatory activity. The analgesic activity has been evaluated by hot plate and tail immersion method and the anti-inflammatory and antioxidant activities are evaluated by Complete Freund’s adjuvant induced arthritic model. The results of the evaluation of analgesic activity in hot plate and tail immersion method revealed that the extract exhibits significant activity at 150 mg/kg body weight and the effect is found to increase dose dependently. In Freund’s adjuvant induced arthritis, Enicostemma littorale is found to decrease the paw volume (15.81%). Significant protection is also observed by elevating antioxidant enzymes. In conclusion, the 85% methanolic extract of Enicostemma littorale possesses significant analgesic and anti-inflammatory activities in Freund’s adjuvant induced arthritic model in rats.

关键词： Complete Freund’s Adjuvant Hot Plate Oxidative Stress Tail Immersion

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