Deciding test data volume is a major challenge in present System on Chip (SoC) design. Compaction of test data volume results in high compression ratio. Entropy analysis plays a vital role in such cases. Entropy is measurement of the amount of information contained in the data set. Entropy calculations tell the need of how much test data vector that can be compressed. This paper is based on fin...

Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The objective of this paper is to evaluate a set of wavelets for image compression. Image compression using wavelet transforms results in an improved compression ratio. Wavelet transformation is the technique that provides both spatial and frequency domain informat...

Mechanical metamaterials with zero or negative Poisson’s ratio were subject to increasing research interest over the last few years. Their energy absorption capabilities make them suitable for impact and dampening applications, such as personal protection equipment packaging materials. The variable porosity unusual mechanical properties also applicable in drug delivery systems wound management....

In all over the world the demand of energy is increasing day by day and fossil fuels are depleting at a very fast rate, therefore to fulfill the energy demand of the world there is a need to find out an alternative fuel and in this depleting fossil fuel era Biodiesel is one of the best available energy source to overcome the world’s energy demand. There is a long list of shrubs, trees, and herb...

Test data compression is one of the main objectives to make reliable in testing System on chip design. The data compression mainly relies in the areas of hardware, time and power consumed. This paper presents an efficient test data compression method to achieve high compression ratio. The test patterns have 1, 0 and undefined (x) data. The test patterns are grouped such that to improve compress...

This paper is aimed at analyzing the performance of three different state-of-the-art image compression schemes namely Embedded Zerotree Wavelet (EZW), Spatial-orientation Trees Wavelet (STW) and Set Partitioning in Hierarchical Trees (SPHIT). The paper analyses the compression schemes using X-ray image data such that the quality of the reconstructed image would be closely related to its origina...

BACKGROUND High quality chest compression is one of the key factors in successful resuscitation. A high standard of training is therefore decisive. We aimed to investigate the strengths and weaknesses of teaching chest compression in a study designed to highlight where targeted improvements in the quality of our chest compression training can and must be made. METHODS Retrospective analysis o...

Wavelet-based image compression provides substantial improvements in picture quality at higher compression ratios. Haar wavelet transform based compression is one of the methods that can be applied for compressing images. An ideal image compression system must yield good quality compressed images with good compression ratio, while maintaining minimal time cost. With Wavelet transform based comp...

A crucial step in image compression is the evaluation of its performance, and more precisely the available way to measure the final quality of the compressed image. Usually, to measure performance, some measure of the covariation between the subjective ratings and the degree of compression is performed between rated image quality and algorithm. Nevertheless, local variations are not well taken ...