Search

Your search keyword '"Pathak, Nidhi"' showing total 99 results
Start Over Author "Pathak, Nidhi"
99 results on '"Pathak, Nidhi"'

6. Terahertz wave generation by nonlinear mixing of lasers in a finite overdense plasma slab.

Author

Kaur, Roopkiranpreet, Pathak, Nidhi, Agarwal, P. C., Kaur, Harjeet, Kaur, Paramjit, and Kaur, Sukhdeep

Subjects
*SUBMILLIMETER waves, *LASER beams, *PONDEROMOTIVE force, *PLASMA density, *NONLINEAR waves
Abstract

A method of generating THz radiation by nonlinear mixing of lasers obliquely incident on a finite slab of overdense plasma is formulated analytically. The incoming laser beam exerted a ponderomotive force on free electrons, which started oscillating at a frequency equal to the frequency difference of two laser beams. This results in a nonlinear current leading to THz radiation generation at the reflection as well as at the transmission side of the plasma slab. We have seen the effect of incident angle on the amplitudes of reflected and transmitted amplitudes of generated THz radiation. It is observed that the thickness of the slab and plasma density are the contributing parameters for the intensity of THz radiation generation. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

25. SemBox: Semantic Interoperability in a Box for Wearable e-Health Devices

Author

Pathak, Nidhi, Mukherjee, Anandarup, and Misra, Sudip

Abstract

In this work, we propose SemBox – Semantic interoperability in a Box, to enable wireless on-the-go communication between heterogeneous wearable health monitoring devices. It can connect wirelessly to the health monitoring devices and receive their data packets. It uses a Mamdani-based fuzzy inference system with data pre-processing to classify the received data packet into one of the classes of the vital parameters. It enables semantic interoperability by labelling and annotating the data packets based on the extracted packet information. We implement SemBox using three different health monitoring wearables, with different keywords used for each vital parameter representation in the data packet. SemBox shows a maximum classification accuracy of 85.71%, with a maximum PDR of 1 at the SemBox with varying device parameters. Overall, SemBox is a potential plug-and-play solution to achieve semantic interoperability and collaboration between heterogeneous health monitoring wearable devices, irrespective of their commercial and proprietary specifications. It is customizable for applications that use multiple heterogeneous devices for collaborative monitoring and decision support. SemBox enables interoperability among health monitoring devices, introduces flexibility and ease the inter-device dynamics in the domain of biomedical research.

Published
2023
Full Text
View/download PDF

26. Soybean Physiology and Yield Response to Seed Rate and Sowing Method

Author

Keerthana, S. Madhana, primary, Ramakrishnan, R. Shiv, primary, Pathak, Nidhi, primary, Ghosh, Dibakar, primary, Koutu, G. K., primary, Nagre, Sachin, primary, Gontia, A. S., primary, Sharma, Radhesham, primary, Kumar, Ashish, primary, Sharma, Stuti, primary, Vinoth, R., primary, and Jain, Vikash, primary

Published
2021
Full Text
View/download PDF

33. IDeA

Author

Bhattacharya, Debarpan, primary, Misra, Sudip, additional, Pathak, Nidhi, additional, and Mukherjee, Anandarup, additional

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results