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    Viral Aerosol Concentration Characterization and Detection in Bounded Environments

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    Type
    Preprint
    Authors
    Amin, Osama
    Dahrouj, Hayssam cc
    Almayouf, Nojood
    Al-Naffouri, Tareq Y. cc
    Shihada, Basem cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Networks Laboratory (NetLab)
    Date
    2020-08-10
    Permanent link to this record
    http://hdl.handle.net/10754/664670
    
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    Abstract
    Viral spread has been intermittently threatening human life over time. Characterizing the viral concentration and modelling the viral transmission are, therefore, considered major milestones for enhancing viral detection capabilities. This paper addresses the problem of viral aerosol detection based on the exhaled breath in a bounded environment, e.g., a bounded room. The paper models the exhaled breath as a cloud which is emitted through the room continuously, and analyzes the temporal-spatial virus concentration by accounting for partial absorption and reflection at each side of the room. The paper first derives a closed form expression of the temporal-spatial virus concentration. It then considers the deployment of a receiver composed of an air sampler and a bio-sensor to detect the viral existence of a specific virus. We, therefore, assess the detection capabilities of the proposed system via evaluating the viral miss-detection probability as a function of the sampling volume and the detection time-instance at the receiver side. Our numerical simulations verify the validity of the analytical results, and illustrate the ability of the proposed system to detect viruses in indoor environments. The results further characterize the impacts of several system parameters on the miss-detection probability.
    Publisher
    arXiv
    arXiv
    2008.04218
    Additional Links
    https://arxiv.org/pdf/2008.04218
    Collections
    Preprints; Computer Science Program; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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