Saturday, September 13, 2014

IJIRST.org | Energy Efficient Compressed Air Production System

 Energy Efficient Compressed Air Production System
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Compressed air is often referred to as the fourth utility. We all know the generation of compressed air consumes energy but at the same time the compressor and downstream components are often neglected, which means there are significant savings to be made. It is suggested that savings of around 33 % on average in a compressed air system are possible. It follows that cost effective compressed air production is energy efficient compressed air production, as energy is by far the biggest lifetime cost factor.Many of the different levers for cost reduction may be known, but just not applied, due to lack of knowledge about the financial savings possible. This paper shows and explains the different ways to efficient compressed air production (leakages, compressor selection, pressure losses) and gives simple calculation examples that are easy to follow and to be reproduced in your compressed air stations.

For more Details 
click Here.
or 
HERE 

Thursday, September 11, 2014

Ijirst Journal | Issue 4 | September 2014

(ISSN : 2349-6010)
Call For Paper Volume 1 | Issue 4 | 2014
Publication Charges : 1000 INR
Indexed In : Google Scholar,DRJI,ISSUU,ACADEMIA,Scridb,Slideshare and Many More

For More Details
Click Here. 

Saturday, September 6, 2014

Ijirst.org | Issue 4 | September 2014

(ISSN : 2349-6010)
Call For Paper Volume 1 | Issue 4 | 2014

Publication Charges : 1000 INR

Indexed In : Google Scholar,DRJI,ISSUU,ACADEMIA,Scridb,Slideshare and Many More

For More Details
Click Here. 

Thursday, September 4, 2014

IJIRST.org

 Image Compression using STW and WDR Wavelets

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Abstract :

This paper presents the wavelet techniques used for compression and uncompression of gray scale and true color images. The valid compression methods are STW (Spatial Orientation Tree Wavelet), WDR(Wavelet Difference Reduction) used in this paper,   We are using bior 4.4 wavelet for image compression.In this paper Comparison of different quality assessment metrics for the enhancement and compression techniques are carried out. This comparison is done on the basis of subjective and objective parameters. Subjective parameter is visual quality and objective parameters are Peak signal-to- noise ratio (PSNR), Compression Ratio (CR), Mean square error (MSE), L2-norm ratio, Bits per pixel (BPP) and Maximum error. 

For More Details Click On below Links :

http://ijirstjournal.blogspot.in/
http://goo.gl/R5J6wD