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dc.contributor.authorUgail, Hassan
dc.contributor.authorAggarwal, R.
dc.contributor.authorIglesias, A.
dc.contributor.authorSuarez, P.
dc.contributor.authorMaqsood, M.
dc.contributor.authorAadil, F.
dc.contributor.authorCampuzano, A.
dc.contributor.authorGleghorn, S.
dc.contributor.authorMehmood, Irfan
dc.contributor.authorTaif, Khasrouf
dc.date.accessioned2022-03-25T12:24:10Z
dc.date.accessioned2022-04-22T10:16:55Z
dc.date.available2022-03-25T12:24:10Z
dc.date.available2022-04-22T10:16:55Z
dc.date.issued2020-11
dc.identifier.citationUgail H, Aggarwal R, Iglesias A et al (2020) An Optimisation Model for Designing Social Distancing Enhanced Physical Spaces 2020 International Conference on Internet of Things and Intelligent Applications, ITIA 2020. 27-29 Nov 2020. Zhenjiang, China.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18919
dc.descriptionYesen_US
dc.description.abstractIn the wake of the COVID-19 pandemic, social distancing has become an essential element of our daily lives. As a result, the development of technological solutions for the design and re-design of physical spaces with the necessary physical distancing measures is an important problem that must be addressed. In this paper, we show how automatic design optimisation can be used to simulate the layout of physical spaces subject to a given social distancing requirement. We use a well known mathematical technique based on the circle packing to address this challenge. Thus, given the dimensions and the necessary constraints on the physical space, we formulate the design as a solution to a constrained nonlinear optimisation problem. We then solve the optimisation problem to arrive at a number of feasible design solutions from which the user can pick the most desirable option. By way of examples, in this paper, we show how the proposed model can be practically applied.en_US
dc.description.sponsorshipUniversity of Bradford’s COVID-19 Response Fund, the Spanish Ministry of Science, Innovation, and Universities (Computer Science National Program) under grant #TIN2017-89275-R of the Agencia Estatal de Investigacion and European Funds (AEI/FEDER, UE)en_US
dc.language.isoenen_US
dc.rights© IEEE 2021. This article is free to access and download, along with rights for full text and data mining, re-use and anaen_US
dc.subjectAutomatic optimal designen_US
dc.subjectSocial distancing measuresen_US
dc.subjectComputer aided designen_US
dc.subjectPhysical spacesen_US
dc.subjectCovid-19en_US
dc.subjectPandemicen_US
dc.titleAn Optimisation Model for Designing Social Distancing Enhanced Physical Spacesen_US
dc.status.refereedYesen_US
dc.typeConference paperen_US
dc.type.versionPublished versionen_US
dc.identifier.doihttps://doi.org/10.1109/ITIA50152.2020.9312372
dc.rights.licenseUnspecifieden_US
dc.date.updated2022-03-25T12:24:11Z
refterms.dateFOA2022-04-22T10:19:46Z
dc.openaccess.statusopenAccessen_US


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