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dc.contributor.authorAmin, Osama
dc.contributor.authorDahrouj, Hayssam
dc.contributor.authorAlmayouf, Nojood
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorShihada, Basem
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2021-05-27T05:45:34Z
dc.date.available2020-08-19T11:10:32Z
dc.date.available2021-05-27T05:45:34Z
dc.date.issued2021
dc.identifier.citationAmin, O., Dahrouj, H., Almayouf, N., Al-Naffouri, T. Y., Shihada, B., & Alouini, M.-S. (2021). Viral Aerosol Concentration Characterization and Detection in Bounded Environments. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 1–1. doi:10.1109/tmbmc.2021.3083718
dc.identifier.issn2332-7804
dc.identifier.doi10.1109/TMBMC.2021.3083718
dc.identifier.urihttp://hdl.handle.net/10754/664670
dc.description.abstractViral 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 from 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, and analyzes the temporal-spatial virus-laden aerosol 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-laden aerosol 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.
dc.description.sponsorshipThis work was supported by the King Abdullah University of Science and Technology (KAUST). The work of H. Dahrouj was supported by the Center of Excellence for NEOM Research at KAUST.
dc.publisherIEEE
dc.relation.urlhttps://ieeexplore.ieee.org/document/9440934/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9440934/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9440934
dc.rightsArchived with thanks to IEEE Transactions on Molecular, Biological and Multi-Scale Communications
dc.subjectvirus-laden aerosol concentration
dc.subjectviral aerosol detection
dc.subjectconcentration characterization
dc.subjectspatial-temporal virus spread
dc.subjectaerosol channel
dc.subjectcommunication through breath
dc.subjectchannel modeling
dc.subjectbounded environment
dc.subjectmolecular communication.
dc.titleViral Aerosol Concentration Characterization and Detection in Bounded Environments
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer Science Program
dc.identifier.journalIEEE Transactions on Molecular, Biological and Multi-Scale Communications
dc.eprint.versionPost-print
dc.identifier.arxivid2008.04218
kaust.personAmin, Osama
kaust.personDahrouj, Hayssam
kaust.personAlmayouf, Nojood
kaust.personAl-Naffouri, Tareq Y.
kaust.personShihada, Basem
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2020-08-19T11:11:06Z
kaust.acknowledged.supportUnitCenter of Excellence for NEOM Research


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