Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/25848
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dc.contributor.authorAli, Mona Elsir Mohammed-
dc.contributor.authorSupervisor, -Dieter Fritsch-
dc.date.accessioned2021-03-17T09:32:00Z-
dc.date.available2021-03-17T09:32:00Z-
dc.date.issued2020-10-04-
dc.identifier.citationAli, Mona Elsir Mohammed . Finding TheBest Location For New Electricity Poles Using GIS Technologies \ Mona Elsir Mohammed Ali ; Dieter Fritsch .- Khartoum: Sudan University of Science and Technology, college of Computer science and information technology, 2020 .- 60p. :ill. ;28cm .- M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/25848-
dc.descriptionThesisen_US
dc.description.abstractThe study aims at finding the best location for new electricity transformer, electricity lines paths and poles through the use of Geographic Information System (GIS) technology. It is well-known, that GIS plays an important role providing a platform for effective planning, organizing and decision-making.This research is introduced a new GIS based approach for the distribution of electricity transformer as well as electricitypoles. The database created for the study area, which is Bahri,includes data about roads, existing electricitypoles and existing lines.The Analysis in this study has been accomplished using ArcGIS network analyst extension. This study showed a practical example on how GIS can integrate multiple criterionin order to find the optimal locations.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectComputer Scienceen_US
dc.subjectBest Locationen_US
dc.subjectNew Electricity Polesen_US
dc.subjectGIS Technologiesen_US
dc.titleFinding TheBest Location For New Electricity Poles Using GIS Technologiesen_US
dc.title.alternativeإيجاد أفضل المواقع لأعمدة الكهرباء الجديدة بإستخدام تقنيات نظم المعلومات الجغرافيةen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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