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P. Upender

Researcher at Vignan Institute of Technology and Science

Publications -  11
Citations -  41

P. Upender is an academic researcher from Vignan Institute of Technology and Science. The author has contributed to research in topics: Bistatic radar & Terahertz radiation. The author has an hindex of 2, co-authored 5 publications receiving 8 citations.

Papers
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Journal ArticleDOI

Graphene-based ultra-wideband absorber for terahertz applications using hexagonal split ring resonators

P. Upender, +1 more
- 27 Apr 2022 - 
TL;DR: In this article , a hexagonal split ring ultra-wideband absorber is proposed at the THz frequency, which consists of four graphene-based split rings, a dielectric substrate and graphene layer at the bottom.
Journal ArticleDOI

HEM11δ and HEM12δ-based Quad band Quad Sense Circularly Polarized tunable Graphene-based MIMO Dielectric Resonator Antenna

P. Upender, +1 more
- 28 Jan 2022 - 
TL;DR: In this article , a two port circularly polarized (CP) MIMO Cylindrical Dielectric Resonator Antenna (CDRA) with Quad-band response is designed for terahertz (THz) applications.
Proceedings ArticleDOI

A Hand Gesture Based Wheelchair for Physically Handicapped Person with Emergency Alert System

TL;DR: In this paper, a control system is developed with the aid of hand motion recognition for physically handicapped person with his gesture movement, which consists of an accelerometer sensor that controls the users hand motion of moving stools and clarifies the user movement and moves accordingly.
Journal ArticleDOI

Ultrathin, Ultra Narrow Band DMMA for Biosensing Applications

TL;DR: In this article , a new ultrathin, ultra narrow band Dielectric based Metamaterial Absorber (DMMA) is designed for biosensing applications, which provides dual-band response with perfect absorption with ultra-narrowband absorption characteristics with resonances at 5.98 THz and 6.72 THz.
Proceedings ArticleDOI

Soil moisture estimation with PALSAR data near Roorkee region

TL;DR: In this article, two approaches have been selected for the retrieval of soil moisture and account for the vegetation effects: water cloud model is used to introduce vegetation correction into the backscattering coefficients, which are then used in the inversion model to yield better soil moisture retrieval results.