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The mixed pixels are treated as noise or uncertainty in class allocation of a pixel and conventional hard classification algorithms may thus produce inaccurate classification outputs. Thus application of sub-pixel or soft classification methods have been adopted for classification of images acquired in complex and uncertain environment. The main objective of this research work has been to study the effect of feature dimensionality using statistical learning classifier -support vector machine (SVM with sigmoid kernel) while using different single and composite operators in fuzzy-based error matrixes generation. In this work mixed pixels have been used at allocation and testing stages and sub-pixel classification outputs have been evaluated using fuzzy-based error matrixes applying single and composite operators for generating matrix. As subpixel accuracy assessment were not available in commercial software, so in-house SMIC (Sub-pixel Multispectral Image Classifier) package has been used. Data used for this research work was from HySI sensor at 506 m spatial resolution from Indian Mini Satellite-1 (IMS-1) satellite launched on April 28, 2008 by Indian Space Research Organisation using Polar Satellite Launch Vehicle (PSLV) C9, acquired on 18 th May 2008 for classification output and IRS-P6, AWIFS data for testing at sub-pixel reference data. The finding of this research illustrate that the uncertainty estimation at accuracy assessment stage can be carried while using single and composite operators and overall maximum accuracy was achieved while using 40 (13 to 52 bands) band data of HySI (IMS-1). 204

Mobile Ad-Hoc Network is an autonomous group of mobile users that communicate using wireless links with no support from any pre-existing infrastructure network and used as a highly reliable end-to-end protocol for transporting applications. But in wireless networks suffers from significant throughput degradation and delays. It uses Congestion Control and Avoidance algorithms which degrades end-to-end performance in wireless system. In this paper we have analyzed the performance of tcp algorithms with AODV, DSR and TORA for throughput. The effect of throughput on the TCP variants New Reno, Reno and Tahoe with different node scenarios was studied. KeywordTCP Variants, Throughput.

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