Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals

Harun Siljak; Michael Taynnan Barros; Nathan D'Arcy; Daniel Perez Martins; Nicola Marchetti; Sasitharan Balasubramaniam

doi:10.1109/MNET.122.2200116

Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals

Harun Siljak, Michael Taynnan Barros, Nathan D'Arcy, Daniel Perez Martins, Nicola Marchetti, Sasitharan Balasubramaniam

Department of Computing and Mathematics

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV- 2 virus. In this article we propose the use of Intelligent Reflector Surface (IRS) and terahertz communication systems to detect violent expiratory aerosol cloud that are secreted from people. Our proposed approach makes use of future IRS infrastructure to extend beyond communication functionality by adding environmental scanning for aerosol clouds. Simulations have also been conducted to analyze the accuracy of aerosol cloud detection based on a signal scanning and path optimization algorithm. Utilizing IRS for detecting violent expiratory aerosol cloud can lead to new added value of telecommunication infrastructures for sensor monitoring data that can be used for public health.

Original language	English
Pages (from-to)	1-8
Number of pages	8
Journal	IEEE Network
DOIs	https://doi.org/10.1109/MNET.122.2200116
Publication status	Accepted/In press - 2022

Keywords

Absorption
Aerosols
Atmospheric modeling
Attenuation
Clouds
Sensors
Wireless communication

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MNET.122.2200116

Cite this

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title = "Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals",

abstract = "The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV- 2 virus. In this article we propose the use of Intelligent Reflector Surface (IRS) and terahertz communication systems to detect violent expiratory aerosol cloud that are secreted from people. Our proposed approach makes use of future IRS infrastructure to extend beyond communication functionality by adding environmental scanning for aerosol clouds. Simulations have also been conducted to analyze the accuracy of aerosol cloud detection based on a signal scanning and path optimization algorithm. Utilizing IRS for detecting violent expiratory aerosol cloud can lead to new added value of telecommunication infrastructures for sensor monitoring data that can be used for public health.",

keywords = "Absorption, Aerosols, Atmospheric modeling, Attenuation, Clouds, Sensors, Wireless communication",

author = "Harun Siljak and Barros, {Michael Taynnan} and Nathan D'Arcy and Martins, {Daniel Perez} and Nicola Marchetti and Sasitharan Balasubramaniam",

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AU - Siljak, Harun

AU - Barros, Michael Taynnan

AU - D'Arcy, Nathan

AU - Martins, Daniel Perez

AU - Marchetti, Nicola

AU - Balasubramaniam, Sasitharan

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PY - 2022

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N2 - The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV- 2 virus. In this article we propose the use of Intelligent Reflector Surface (IRS) and terahertz communication systems to detect violent expiratory aerosol cloud that are secreted from people. Our proposed approach makes use of future IRS infrastructure to extend beyond communication functionality by adding environmental scanning for aerosol clouds. Simulations have also been conducted to analyze the accuracy of aerosol cloud detection based on a signal scanning and path optimization algorithm. Utilizing IRS for detecting violent expiratory aerosol cloud can lead to new added value of telecommunication infrastructures for sensor monitoring data that can be used for public health.

AB - The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV- 2 virus. In this article we propose the use of Intelligent Reflector Surface (IRS) and terahertz communication systems to detect violent expiratory aerosol cloud that are secreted from people. Our proposed approach makes use of future IRS infrastructure to extend beyond communication functionality by adding environmental scanning for aerosol clouds. Simulations have also been conducted to analyze the accuracy of aerosol cloud detection based on a signal scanning and path optimization algorithm. Utilizing IRS for detecting violent expiratory aerosol cloud can lead to new added value of telecommunication infrastructures for sensor monitoring data that can be used for public health.

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KW - Aerosols

KW - Atmospheric modeling

KW - Attenuation

KW - Clouds

KW - Sensors

KW - Wireless communication

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Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals

Abstract

Keywords

UN SDGs

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