Vis enkel innførsel

dc.contributor.authorWu, Di
dc.contributor.authorWang, Hao
dc.contributor.authorSeidu, Razak
dc.date.accessioned2020-01-20T09:15:17Z
dc.date.available2020-01-20T09:15:17Z
dc.date.created2019-11-26T21:47:00Z
dc.date.issued2019
dc.identifier.isbn978-1-7281-3024-8
dc.identifier.urihttp://hdl.handle.net/11250/2636939
dc.description.abstractDrinking Water Supply (DWS) is one of the most critical and sensitive systems to maintain city operations globally. In Europe, the contradiction between the fast growth of population and obsolete urban water supply infrastructure is even more prominent. The high standard water quality requirement not only provides convenience for people's daily life but also challenges the risk response time in the systems. Prevalent water quality regulations are relying on periodic parameter tests. This brings the danger in bacteria broadcast within the testing process which can last for 24-48 hours. In order to cope with these problems, we propose a tensor model for water quality assessment. This model consists of three dimensions, including water quality parameters, locations and time. Furthermore, we applied this model to predict water quality changes in the DWS system using a Random Forest algorithm. For a case study, we select an industrial water supply system in Oslo, Norway. The preliminary results show that this model can provide early warning for water quality risks.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartofProceedings of IEEE 5th International Conference on Cloud and Big Data Computing (CBDCom 2019)
dc.titleA Tensor Model for Quality Analysis in Industrial Drinking Water Supply Systemnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber1090-1092nb_NO
dc.identifier.doi10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00196
dc.identifier.cristin1752810
dc.description.localcode© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,55,0
cristin.unitcode194,63,10,0
cristin.unitcode194,64,93,0
cristin.unitnameInstitutt for IKT og realfag
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.unitnameInstitutt for havromsoperasjoner og byggteknikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel