Bangladesh water body IoT monitoring system with usage suggestion and statistical analysis of results

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bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorJamal, Mashiat
dc.contributor.authorJuboraj, Md. Fahmid-Ul-Alam
dc.contributor.authorSayed, Jawad Bin
dc.contributor.authorTabassum, Aanika
dc.contributor.authorMahmud, Tasfin
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-09-15T15:10:43Z
dc.date.available2026-09-15T15:10:43Z
dc.date.issued2023-01-01
dc.description.abstractMonitoring the water bodies is a hectic process, as testing water specimens after collecting samples of water from water bodies is quite time-consuming. This is concerning as lake water pollution has dramatically grown in recent years due to expanding industrialization and limited access to clean water in economically disadvantaged nations like Bangladesh. This study utilized the analysis of the water quality index calculation using the NSF-WQI formula, and further research was done using KDE and ANOV A analysis to find the relation between the water health parameters. This was achieved by monitoring the real-time water quality parameters of Hatirjheel Lake, Dhanmondi Lake, Uttara Lake, Cox's Bazar's Kohelia Water Body, and Mirpur DOHS Lake using an IoT-based remote water quality monitoring device that we developed in this research.
dc.description.versionPublished
dc.format.extent237-242
dc.identifier.citationM. Jamal, M. F. -U. -A. Juboraj, J. B. Sayed, A. Tabassum and T. Mahmud, "Bangladesh Water Body IoT Monitoring System With Usage Suggestion and Statistical Analysis of Results," 2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Thiruvananthapuram, India, 2023, pp. 237-242, doi: 10.1109/WIECON-ECE60392.2023.10456421.
dc.identifier.doi10.1109/WIECON-ECE60392.2023.10456421
dc.identifier.issn9798350319651
dc.identifier.other2-s2.0-85190387783
dc.identifier.urihttps://hdl.handle.net/10361/29953
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/WIECON-ECE60392.2023.10456421
dc.relation.ispartofProceedings of 2023 IEEE 9th International Women in Engineering Wie Conference on Electrical and Computer Engineering Wiecon Ece 2023
dc.relation.ispartofseriesProceedings of 2023 IEEE 9th International Women in Engineering Wie Conference on Electrical and Computer Engineering Wiecon Ece 2023
dc.relation.urihttps://ieeexplore.ieee.org/document/10456421
dc.rightsfalse
dc.subjectArtificial intelligence
dc.subjectIoT
dc.subjectMachine learning
dc.subjectSensors
dc.subjectStatistical data analysis
dc.subjectWater
dc.subject.lcshMachine learning.
dc.subject.lcshInternet of things.
dc.titleBangladesh water body IoT monitoring system with usage suggestion and statistical analysis of results
dc.typeConference Proceeding
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id58986148500
person.identifier.scopus-author-id58143417700
person.identifier.scopus-author-id57912856700
person.identifier.scopus-author-id58985664000
person.identifier.scopus-author-id57825948000

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