Audio compression is designed to reduce the transmission bandwidth requirement of digital audio streams and storage size of audio files. Audio compression has become one of the basic technologies of the multimedia age to achieve transparent coding of audio and speech signals at the lowest possible data rates. This paper presents a comparative analysis of audio signal compression using transform...

Many semistructured data such as HTML/XML files are represented by rooted trees t such that all children of each internal vertex of t are ordered and all edges of t have labels. Such data is called tree structured data. Analyzing large tree structured data is a time-consuming process in data mining. If we can reduce the size of input data without loss of information, we can speed up such a heav...

In this study, an in-house multi-dimensional code has been developed which simulates the combustion of n-heptane in a Homogeneous Charge Compression Ignition (HCCI) engine. It couples the flow field computations with detailed chemical kinetic scheme which involves the multi-reactions equations. A chemical kinetic scheme solver has been developed and coupled for solving the chemical reactions an...

in this paper, the effects of input temperature and compression ratio on the net output work and efficiency of the air standard cycles, i.e. atkinson cycle, diesel cycle and otto cycle are analyzed. we assumed that the compression and power processes are adiabatic and reversible and any convective, conductive and radiative heat transfer to cylinder wall during the heat rejection process may be ...

Gish Biomedical has designed a blood cardioplegia delivery system (MyoManager) which is purported to provide rapid control of blood and crystalloid solution ratios for myocardial preservation. The present study was designed to evaluate the ability of this device to provide cardioplegia solutions of specific hematocrit and potassium ion concentrations ([K+]). An in vitro circuit was designed whe...

In this paper, a new approach based on Artificial Neural Network for data compression is presented. ANN (Artificial Neural Network) is playing a vital role to do complex works like face recognition, pattern recognition, currency recognition, compression, decompression etc. Artificial Neural networks have the potential to extend data compression algorithms beyond the character level n-gram model...

Image compression is a fast paced and dynamically changing field with many different varieties of compression methods available. Wavelet transform techniques currently provide a promising approach to image compression and concentrate on achieving higher compression ratio without sacrificing the quality of the image. In image compression, the choice of wavelet depends on the image content. The q...

This paper studies the fundamental limits of the minimum average length of variable-length compression when a nonzero error probability ǫ is tolerated. We give non-asymptotic bounds on the minimum average length in terms of Erokhin’s rate-distortion function and we use those bounds to obtain a Gaussian approximation on the speed of approach to the limit which is quite accurate for all but small...

It is controversial whether the plastic Poisson’s ratio and ellipticity are invariable in Deshpande–Fleck model, which describes constitutive behavior of foam materials. In this paper, model modified by a variable plasticity based on nonassociated flow rule. The measured situ digital image correlation (DIC) technology during uniaxial compression experiment aluminum foam. then determined through...