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dc.contributor.advisorClaudel, Christian G.
dc.contributor.authorAbdulaal, Mohammed
dc.date.accessioned2014-05-21T09:17:52Z
dc.date.available2014-05-21T09:17:52Z
dc.date.issued2014-05
dc.identifier.doi10.25781/KAUST-0NWUS
dc.identifier.urihttp://hdl.handle.net/10754/317257
dc.description.abstractAbstract Physical Sciences and Engineering Division Mechanical Engineering Department Master of Science Optimisation of Lagrangian Flash Flood Microsensors Dropped by Unmanned Aerial Vehicle by Mohammed Abdulaal Floods are the most common natural disasters, causing thousands of casualties every year in the world. In particular, ash ood events are particularly deadly because of the short timescales on which they occur. Classical sensing solutions such as xed wireless sensor networks or satellite imagery are either too expensive or too inaccurate. Nevertheless, Unmanned Aerial Vehicles equipped with mobile microsensors could be capable of sensing ash oods in real time for a low overall cost, saving lives and greatly improving the e ciency of the emergency response. Using ood simulation data, we show that this system could be used to detect ash oods. We also present an ongoing implementation of this system using 3D printed sensors and sensor delivery systems on a UAV testbed as well as some preliminary results.
dc.language.isoen
dc.subjectOVA
dc.subjectMicro Sensor
dc.subjectFlood
dc.subjectLoglangian
dc.titleOptimisation of Lagrangian Flash Flood Microsensors Dropped by Unmanned Aerial Vehicle
dc.typeThesis
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberLubineau, Gilles
dc.contributor.committeememberThoroddsen, Sigurdur T
thesis.degree.disciplineMechanical Engineering
thesis.degree.nameMaster of Science
refterms.dateFOA2018-06-14T07:06:20Z


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