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.

Proposal of Ferroelectric Based Electrostatic Doping for Nanoscale Devices

Abstract: A ferroelectric based electrostatic doping (Fe-ED) technique is proposed, as the alternative to chemical doping, providing non-volatile and programmable free electrons and holes for nanoscale devices. We show that Fe-ED achieves non-volatility and reconfigurability via the ferroelectric film inserted into the polarity gate, producing the reconfigurable nanosheet FETs (NSFETs) without the requirement of a constant bias. Thanks to the naturally formed lightly doped drain structures and the extremely high doping concentration over $1\times 10^{21}$ cm−3 in source/drain (S/D) regions, Fe-ED NSFETs exhibit the promising potential benefits for device scaling including the improved subthreshold swing, the suppressed drain-induced barrier lowering, and the ultralow S/D region resistance. Our study suggests a promising doping strategy of Fe-ED for versatile reconfigurable nanoscale transistors and highly integrated circuits.

Detection and Classification of Power System Faults using Discrete Wavelet Transform and Rule Based Decision Tree

Abstract: This research work aims to present an approach supported by discrete wavelet transform and rule based decision tree for the detection and classification of different types of power system faults. Faults under investigation include, line to ground (LG) fault, line to line (LL) fault, double line fault with involvement of ground (LLG) and three phase fault with involvement of ground (LLLG). Current captured on a bus of the test system is used for the detection of the faults. The current signal is decomposed up to three levels of decomposition for detection of faults. A fault index using the sum absolute values of detail coefficients is proposed to detect different types of faults. Detailed simulation study is performed in MATLAB/Simulink environment using an IEEE-34 node test network. It is established that proposed method effectively detects and classify power system faults.

Alienation based fault detection and classification in transmission lines

Abstract: This paper deals with the application of alienation coefficients for the detection and classification of various faults on transmission lines. A Global Positioning System is used to synchronize sampling of current signals at both the ends of the transmission line. The alienation coefficients are obtained by comparing successive half cycles of absolute values of current samples at each end. At each end, Fault Index is calculated by adding alienation coefficients of local end and remote end. This Fault Index is compared with threshold to detect and classify the faults. The proposed algorithm has been tested successfully for various types of faults at different locations and different fault incidence angles. This scheme proved to be successful in discriminating non-fault transients from fault transients, also.