dc.contributor.author | Sumithraarachchi, Geethika | |
dc.contributor.author | Ahamed, Rashid | |
dc.contributor.author | Vithana, Nipunika | |
dc.date.accessioned | 2021-08-05T10:10:47Z | |
dc.date.available | 2021-08-05T10:10:47Z | |
dc.date.issued | 2021-08-05 | |
dc.identifier.issn | 2210-142X | |
dc.identifier.uri | https://journal.uob.edu.bh:443/handle/123456789/4407 | |
dc.description.abstract | Radio transmission (RT) is a commonly used process inside radio stations, which enables broadcasting a radio signal from the radio station to radio channel listeners all over the world depending on the radio signal’s strength. Sometimes, radio signal failures can happen due to various reasons and listeners would not be able to listen to the radio channels properly. The current radio signal failure notifying process is being done halfmanual at most of the radio stations while not providing immediate notifications to the radio station staff. In this paper, a troubleshooting mobile application to get instant notifications of radio signal failures happening at radio outstations and predict future radio signal failures based on the weather components is presented. A cloud platform, IoT technology, and machine learning technique are combined with the aforementioned system to provide fast service to the radio station end-users. A key benefit of this system is that even though the users are out of the radio station, the system will be one notification away from the users to notify about sudden radio signal failures along with the future radio signal failurepredicting feature using Machine Learning. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Bahrain | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | radio signal failure | en_US |
dc.subject | IoT | en_US |
dc.subject | machine learning | en_US |
dc.subject | logistic regression | en_US |
dc.subject | nodeMCU esp32 | en_US |
dc.subject | mobile app | en_US |
dc.title | Radio Signal Failure Notifying System – LOST TRANSMISSION | en_US |
dc.contributor.authorcountry | Sri Lanka | en_US |
dc.contributor.authorcountry | Sri Lanka | en_US |
dc.contributor.authorcountry | Sri Lanka | en_US |
dc.contributor.authoraffiliation | Sri Lanka Institute of Information Technology (SLIIT ACADEMY), Colombo 03 | en_US |
dc.contributor.authoraffiliation | Sri Lanka Institute of Information Technology (SLIIT ACADEMY), Colombo 03 | en_US |
dc.contributor.authoraffiliation | Sri Lanka Institute of Information Technology (SLIIT ACADEMY), Colombo 03 | en_US |
dc.source.title | International Journal of Computing and Digital System | en_US |
dc.abbreviatedsourcetitle | IJCDS | en_US |
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