Substituent Effect in the Oxidation of Phenols by Peroxydisulphate Ion in Aqueous Ethanol, t-Butanol, Acetonitrile & Acetone

1070-107

Kinetics &Mechanism of Oxidation of Sulphanilamide by Peroxomonophosphoric Acid

207-21

Kinetics & Mechanism of Oxidation of Aralkyl Amines by Peroxomonophosphoric Acid

361-36

Kinetics & Mechanism of Os(VIII)-catalysed Oxidation of Aromatic Aldehydes by Sodium Periodate

1066-106

Ce(IV) Oxidation of Cyclopentanone, Cyclohexanone, Cycloheptanone, Cyc1ooctanone, Acetone, Butanone, Acetoacetic Ester & Benzoylacetone

579-58

Kinetics of Reaction of Methylene Iodide with Alkoxide Ion in Binary Solvent Mixtures

136-14

Anomalous lithium adsorption propensity of monolayer carbonaceous materials: a density functional study

Interaction between lithium and carbonaceous materials has gained a lot of importance in lithium battery industry as an important source of energy and storage. The size, dimension, curvature and chirality of the carbonaceous materials are found to be very important factors in controlling the sequential binding of lithium. The propensity of lithium binding to the monolayer carbonaceous materials has been studied using Density functional theory (DFT). Structural and energetical parameters of the complexes have been analyzed through interaction energy, sequential energy, Mulliken population analysis and spin density distribution. Spindensity of odd Li doped systems reveals the preferences for addition of further lithium atoms on the surface. Upon analyzing the interaction energy in armchair carbon nanotubes (A-CNTs) and zigzag carbon nanotubes (Z-CNTs), it has been observed that external and internal surfaces of CNTs have contrasting binding preferences for sequential addition of Li atoms. Internal surface is found to be more feasible site for lithium adsorption than the external surface. This current study provides fundamental understanding of the mechanism of lithium adsorption in lithium battery

Pre-processing Algorithm for Rectification of Geometric Distortions in Satellite Images

A number of algorithms have been reported to process and remove geometric distortions in satellite images. Ortho-correction, geometric error correction, radiometric error removal, etc are a few important examples. These algorithm require supplementary meta-information of the satellite images such as ground control points and correspondence, sensor orientation details, elevation profile of the terrain, etc to establish corresponding transformations. In this paper, a pre-processing algorithm has been proposed which removes systematic distortions of a satellite image and thereby removes the blank portion of the image. It is an input-to-output mapping of image pixels, where the transformation computes the coordinate of each output pixel corresponding to the input pixel of an image. The transformation is established by the exact amount of scaling, rotation and translation needed for each pixel in the input image so that the distortion induced during the recording stage is corrected.Defence Science Journal, 2011, 61(2), pp.174-179, DOI:http://dx.doi.org/10.14429/dsj.61.42