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Arpit Khandelwal

Researcher at Indian Institute of Technology, Jodhpur

Publications -  34
Citations -  82

Arpit Khandelwal is an academic researcher from Indian Institute of Technology, Jodhpur. The author has contributed to research in topics: Gyroscope & Semiconductor ring laser. The author has an hindex of 4, co-authored 22 publications receiving 57 citations. Previous affiliations of Arpit Khandelwal include Birla Institute of Technology and Science & International Institute of Information Technology, Hyderabad.

Papers
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Proceedings ArticleDOI

A novel method of rotation sensing by semiconductor ring laser gyroscope

TL;DR: In this article, the authors proposed an alternate method to sense inertial rotation using semiconductor ring laser gyroscope (SRLG), which can be measured externally to determine angular rotation velocity.
Proceedings ArticleDOI

Long Range Nuclear Radiation Monitoring System using LPWAN Technology

TL;DR: A nuclear radiation monitoring system with a transmission range of 10 km is developed and validated and there is possibility of creating a network where number of different sensors located geographically apart can transmit to the same base station, thus providing simultaneous data analysis.
Journal ArticleDOI

Radiation Hardened ReRAM Devices for Flexible Electronics

TL;DR: In this article , the effect of gamma radiation on flexible resistive random access memory (ReRAM) devices with the ultrathin HfO active layer deposited by atomic layer deposition (ALD) is investigated.
Journal ArticleDOI

Design of programmable current source for MOSFET based gamma dosimetry system

TL;DR: In this article, a programmable current source based simple, compact and low-cost MOSFET dosimetry system is developed and characterized for the measurement of cumulative gamma radiation doses.
Proceedings ArticleDOI

Novel Contrast Enhancing Technique For Gait Analysis Images

TL;DR: In this paper, the resolution of POF based pressure sensor was improved by suppressing voltage fluctuation in LED-fiber-Photodiode setup using time windowing technique, which reduced the standard deviation by 98%, thereby showing significant improvement in gait analysis images.