Indian Institute of Technology, Jodhpur

About: Indian Institute of Technology, Jodhpur is a education organization based out in Jodhpur, India. It is known for research contribution in the topics: Computer science & Welding. The organization has 914 authors who have published 2221 publications receiving 19243 citations.

Momentum Model-Based Minimal Parameter Identification of a Space Robot

Abstract: Accurate information of inertial parameters is critical to motion planning and control of space robots. Before the launch, only a rudimentary estimate of the inertial parameters is available from e...

Evaluation of wound dressing properties of chitin membranes containing nanosilver

Abstract: Chitin membranes containing nanosilver were evaluated for use as antimicrobial wound dressings. Chitin at a concentration of 0.25% dissolved in 5% lithium chloride-dimethylacetamide and nanosilver synthesized by gamma irradiation were used for fabrication of chitin-nanosilver membranes. UV–vis spectroscopy and energy dispersive x-ray (EDX) analysis with scanning electron microscopy (SEM) were used to confirm the presence of silver nanoparticles. Fluid absorption capacity, moisture vapour transmission rate, antimicrobial activity, effect on cell viability, in vitro wound healing property and the silver elution profile were determined, to assess the wound dressing properties of the chitin-nanosilver membranes. The antimicrobial efficacy of chitin membranes containing silver nanoparticles was observed against a broad range of microbes such as Acinetobacter baumanii, Enterobacter cloacae, Escherichia coli, Klebsiella pneumoniae, Proteus vulgaris and Candida albicans. The chitin-nanosilver membranes prepared with 100 ppm silver resulted in 6-log to 8-log reduction in viable counts after 24 h and had a positive impact on fibroblast proliferation. The fluid handling capacity, cell viability test and silver elution profile indicate that the chitin-nanosilver dressing can contribute to effective management of infected wounds. In vitro studies have demonstrated the antimicrobial activity and wound-healing properties of chitin membranes containing nanosilver.

MoS 2 quantum dots-modified porous β-Bi 2 O 3 microspheres with enhanced visible-light-induced photocatalytic activity for Bisphenol A degradation and NO removal

Abstract: In this study, a three dimensional (3D) MoS2/β-Bi2O3 heterostructure with high-performance for photocatalytic removal of pollutants was constructed by a simple deposition of the MoS2 quantum dots on the surface of porous β-Bi2O3 spheres. Compared with pure β-Bi2O3 microspheres, the 1.0% MoS2/β-Bi2O3 composite exhibited excellent photocatalytic activity in the degradation of Bisphenol A (BPA) in aqueous solution and oxidative removal of gaseous NO under visible light irradiation, and the removal efficiency reached 94.0% and 41.4% for BPA and NO within 30 min, respectively. The enhanced photocatalytic activity is attributed to the formation heterojunction between MoS2 quantum dots and β-Bi2O3, which facilitates the separation and transfer efficiency of photogenerated electron–hole pairs, boosts catalytic active sites and hinders an electron–hole recombination rate. The results of trapping experiments indicates that both of O2−∙ and h+ are the reactive species for BPA degradation. The recyclability test confirms that the 1.0% MoS2/β-Bi2O3 composite photocatalyst has a superior stability during recycling cycle. This work demonstrates that a unique 3D photocatalyst system can provides a new perspective and opens up new opportunities on the design of efficient composite photocatalysts.

Detection and Classification of Transmission Line Faults Using Stockwell Transform and Rule Based Decision Tree

Abstract: This paper presents an algorithm for detection and classification of different types of the power system faults occurring on the transmission line to provide the effective protection to the line against these faults. The proposed technique uses Stockwell transform based multi-resolution analysis of the current signals for detection of the faults and rule based decision tree for classification of faults in the power system network. Faults investigated in this research work include line to ground (LG) fault, double line (LL) fault, double line to ground (LLG) fault and three phase fault with the involvement of the ground (LLLG). Proposed study is performed in MATLAB/Simulink environment.