Indoor localization using cluster Analysis / Ramy Moustafa Mohamed Moustafa Aboulnaga ; Supervised Rimon Elias
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TextLanguage: English Publication details: Cairo : Ramy Moustafa Mohamed Moustafa Aboulnaga , 2017Description: 63 Leaves : charts , facsimiles ; 30cmOnline resources: Dissertation note: Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Digital Media Engineering and Technology Summary: One the most crucial and fairly available pirce of information that is required by context based systems and intelligent environments is a user's current location. Numerous indoor localization solutions have been proposed. In this study we propose an enhancement to an already applied and tested indoor localization mechanism that utilizes the JUDOCA operator to linearly find a match to an input image withn a geo-tagged dataset of pre-stored images
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قاعة الثقاقات الاجنبية - الدور الثالث | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.34.M.Sc.2017.Ra.I (Browse shelf(Opens below)) | Not for loan | 01010110075349000 |
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Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Digital Media Engineering and Technology
One the most crucial and fairly available pirce of information that is required by context based systems and intelligent environments is a user's current location. Numerous indoor localization solutions have been proposed. In this study we propose an enhancement to an already applied and tested indoor localization mechanism that utilizes the JUDOCA operator to linearly find a match to an input image withn a geo-tagged dataset of pre-stored images
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