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Unmanned Surface Vehicle with Drown Map System

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dc.contributor.author Al-Dakheel, Saad
dc.contributor.author Tarıyan Özyer, Sibel
dc.contributor.author Özdemir, Faruk Can
dc.contributor.author Karadağ, Altuğ
dc.contributor.author Al-Tekreeti, Mahmood
dc.date.accessioned 2023-11-28T13:28:27Z
dc.date.available 2023-11-28T13:28:27Z
dc.date.issued 2019
dc.identifier.citation Al-Dakheel, Saad...et al. "Unmanned Surface Vehicle with Drown Map System ", 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, 2019. tr_TR
dc.identifier.isbn 9781728137896
dc.identifier.uri http://hdl.handle.net/20.500.12416/6680
dc.description.abstract The drowning cases that are happened whether in sea or ocean specially increasing cases among refugees requires to employ the advanced technology and tools to encounter this problem. Internet of Things (IoT) and cloud computing techniques will be applied in marine sector to address the problems of drowning. Internet of things that represented in sensors, actuators…etc. generate a vast number of data that globally known as a Big data, due to the limited storage and processing of the physical units with the big number of data, a cloud computing is adopted to solve this problem. In this paper, an Unmanned Surface Vehicle (USV) contains GPS and Force Sensitive Resistor (FSR) sensors will be built to discover the location and approximate number of people exposed to drowning. In addition to USV, a real-time map system will be carried out to display this information. All the data and information that generating from the sensors and map system will be stored in a cloud in real-time. This work is a part of the research and development project which is accepted in Turkey Government with the collaboration of the University and Industry. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1109/ISMSIT.2019.8932894 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Unmanned Surface Vehicle tr_TR
dc.subject Internet of Things tr_TR
dc.subject Cloud Computing tr_TR
dc.subject Global Positioning System tr_TR
dc.subject Force Sensitive Resistor tr_TR
dc.subject Big Data tr_TR
dc.title Unmanned Surface Vehicle with Drown Map System tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) tr_TR
dc.contributor.authorID 18980 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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