Inverse problem of photoelastic fringe mapping using neural networks

This paper presents an enhanced technique for inverse analysis of photoelastic fringes using neural networks to determine the applied load. The technique may be useful in whole-field analysis of photoelastic images obtained due to external loading, which may find application in a variety of specialized areas including robotics and biomedical engineering. The presented technique is easy to implement, does not require much computation and can cope well within slight experimental variations. The technique requires image acquisition, filtering and data extraction, which is then fed to the neural network to provide load as output. This technique can be efficiently implemented for determining the applied load in applications where repeated loading is one of the main considerations. The results presented in this paper demonstrate the novelty of this technique to solve the inverse problem from direct image data. It has been shown that the presented technique offers better result for the inverse photoelastic problems than previously published works

Properties, Potentials, and Prospects of Antifreeze Proteins

Antifreeze proteins (AFPs) are a group of proteins that protect organisms from deep freezing temperatures and are expressed in vertebrates, invertebrates, plants, bacteria, and fungi. The nuclear magnetic resonance, x-ray structure, and many spectroscopic studies with AFPs have been instrumental in determining the structure-function relationship. Mutational studies have indicated the importance of hydrophobic residues in ice binding. Various studies have pointed out that the mechanism of AFP action is through its adsorption on the ice surface, which leads to a curved surface, preventing further growth of ice by the "Kelvin effect." The AFPs have potential industrial, medical, and agricultural application in different fields, such as food technology, preservation of cell lines, organs, cryosurgery, and cold hardy transgenic plants and animals. However, the applications of AFPs are marred by high cost due to low yield. This review deals with the source and properties of AFPs from an angle of their application and their potential. The possibility of production using different molecular biological techniques, which will help increase the yield, is also dealt with

A FRAMEWORK FOR MINIMIZING LATENCY IN CDN USING URL REQUEST ROUTING APPROACH Abstract

Increase of web data in recent years is a crisis for distributing and managing the content of a websites. Content Distribution Network (CDN) serves to provide some special solution to these issues. Content Distribution Network maintains large number of replicas to act on behalf of origin servers. The main issues in designing Content Distribution Network are Request routing, Object replication, replication consistency and Server Distribution. Request routing is a familiar technique to progress the accessibility of web sites. It normally minimizes the client latency and increases content availability. This paper presents an exploration on different Request routing approaches and proposes a framework to minimize client latency using URL based request routing method