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Simulation of Agent-Based Negative Selection Model (ABNSM) for Reservoir Water Level Monitoring

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dc.contributor.authorDoi S.M.C.en_US
dc.contributor.authorNorwawi N.M.en_US
dc.contributor.authorIsmail R.en_US
dc.contributor.authorWahab M.H.A.en_US
dc.contributor.authorIdrus S.Z.S.en_US
dc.date.accessioned2024-05-29T02:03:50Z
dc.date.available2024-05-29T02:03:50Z
dc.date.issued2020
dc.descriptionThe 2nd Joint International Conference on Emerging Computing Technology and Sports (JICETS) 2019 25-27 November 2019, Bandung, Indonesiaen_US
dc.description.abstractReservoir water level monitoring is an important process during heavy or light rainfall to determine the volume of reserved water. Mistakes in data recording by the dam operator can lead to disasters. Data from different gauging stations are collected to determine whether to release water in the dam or not. The decision to release water is critical because it can affect the volume of water left in the dam for both drought and flood seasons. Constant water level monitoring is difficult because of the changes in water level. To overcome this issue, intelligent agent-based architecture is proposed for reservoir water level monitoring by imitating the artificial immune system. This paper presents the agent technology where agents communicate with each other concurrently by sending online data from different gauging stations to the main reservoir. One of the techniques in the artificial immune system is known as negative selection and this technique has been chosen as a water level monitoring model. � Published under licence by IOP Publishing Ltd.en_US
dc.identifier.doi10.1088/1742-6596/1529/3/032004
dc.identifier.issn17426588
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85088147337
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85088147337&doi=10.1088%2f1742-6596%2f1529%2f3%2f032004&partnerID=40&md5=e399336ff5cfa14c9cf89a040ef593d4
dc.identifier.urihttps://iopscience.iop.org/article/10.1088/1742-6596/1529/3/032004/pdf
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10273
dc.identifier.volume1529
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherInstitute of Physics Publishingen_US
dc.relation.conferenceThe 2nd Joint International Conference on Emerging Computing Technology and Sports (JICETS) 2019en_US
dc.relation.ispartofJournal of Physics: Conference Seriesen_US
dc.sourceScopus
dc.titleSimulation of Agent-Based Negative Selection Model (ABNSM) for Reservoir Water Level Monitoringen_US
dc.typeArticleen_US
dspace.entity.typePublication

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