Raghavendra P. Singh

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The biodegradability of poly(epsilon-caprolactone) (PCL) was studied in blends and composites of modified and granular starch. Four types of PCL-starch compositions were prepared: (i) PCL-granular starch blends; (ii) hydrophobic coating of starch particles by n-butylisocyanate (C(4) starch) and octadecyltrichlorosilane (C(18) starch), followed by melt(More)
The biodegradability of UV-irradiated films of ethylene--propylene copolymers (E--P copolymer), isotactic polypropylene (i-PP), and low-density polyethylene (LDPE), was measured in composting and culture environments by monitoring the variations in intrinsic viscosity [eta], weight loss per surface area, surface changes by SEM, colonization of fungus, chain(More)
Prewhitening is often considered a necessary but not sufficient condition for stronger stochastic independence criteria. After prewhitening the task of Blind Source Separation (BSS) become somewhat easier. Robust preprocessing involves spectral whitening, which is done by transforming correlated signals to an uncorrelated flat spectrum signal. The maximum(More)
I. Abstract: The prediction of the optimal weld bead width is an important aspect in shielded metal arc welding (SMAW) process as it is related to the strength of the weld. This paper focuses on investigation of the development of the simp le and accurate model for prediction of weld bead width of butt joint of SMAW process. Artificial neural networks(More)
This paper highlights the spatial and temporal variability of atmospheric columnar methane (CH4) concentration in the Kharif season over India and its correlation with the terrestrial vegetation dynamics. ENVISAT-SCIAMACHY product (0.5o x 0.5o) was used to analyse the atmospheric methane concentration. Weekly data covering the Kharif season (May to October)(More)
The Indian Remote Sensing (IRS) satellite series has been providing data since 1988 through various Earth observation missions. Before using IRS data for the quantitative analysis and parameter retrieval, it must be corrected for the atmospheric effects because spectral bands of IRS sensors are contaminated by intervening atmosphere. Standard atmospheric(More)
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