DSpace Repository

Integration of Internet of Things (IoT) and Crowdsourcing for Disaster Warning Systems

Show simple item record

dc.contributor.advisor Esichaikul, Vatcharaporn
dc.contributor.author Rajbhandari, Elisha
dc.contributor.other Guha, Sumanta
dc.contributor.other Witayangkurn, Apichon
dc.date.accessioned 2017-04-28T08:22:48Z
dc.date.available 2017-04-28T08:22:48Z
dc.date.issued 2017-05
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/850
dc.description 79p. en_US
dc.description.abstract In this study, a system that integrates data collected from physical sensors and crowdsourcing to provide disaster warning mechanism such as flood and road accident has been proposed. The measurements obtained from Internet of Things (IoT) such as physical sensors along with the visual observations carried out by the individuals can help in portraying an accurate picture of the incidents. In process of system implementation, physical sensors collect information from rain watch and river watch for flood warning. It also collects information regarding number of injured people and death tolls from road accidents. The multi-platform-based application (web-based, desktop, and mobile) is effective in accepting the information from crowdsourcing after the occurrence of disasters. It processes location based data from the crowd and implements data fusion technique to integrate flood related information. The study also proposes another application that monitors the road accidents and provides notification to the users. The notification is delivered when an accident occurs near their surroundings within a radius of 10 km. It also verifies the records from the crowd and sends email notification to concerned authorities through user friendly reporting and visualization tools. The system development comprises of back end and front end application. The back end is used for storing data into database using relational database Microsoft SQL Server. The front end is used for user interface and dashboard which uses Microsoft Dynamics NAV. Therefore, the proposed system can be used for any type of disaster where information can be collected through sensors and crowdsourcing. en_US
dc.description.sponsorship AIT Fellowship en_US
dc.publisher AIT en_US
dc.subject Internet of Things (IoT) en_US
dc.subject crowdsourcing en_US
dc.subject data integration en_US
dc.subject data visualization en_US
dc.title Integration of Internet of Things (IoT) and Crowdsourcing for Disaster Warning Systems en_US
dc.type Thesis en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search


My Account