Sense{u2160}/O: realistic ubiquitous indoor outdoor detection system using smartphones / Mohsen Ali Mohsen Alawami ; Supervised Hossam Ali Fahmy , Tamer Elbatt , Moustafa Ameen Yousef
Material type: TextLanguage: English Publication details: Cairo : Mohsen Ali Mohsen Alawami , 2014Description: 74 P. : charts , facsimiles ; 30cmOther title:- نظام واقعي لكشف مواقع المستخدمين داخل أو خارج المباني بإستخدام الهواتف الذكية [Added title page title]
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.08.M.Sc.2014.Mo.S (Browse shelf(Opens below)) | Not for loan | 01010110065843000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.08.M.Sc.2014.Mo.S (Browse shelf(Opens below)) | 65843.CD | Not for loan | 01020110065843000 |
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Cai01.13.08.M.Sc.2014.Mo.I Inverse scattering from buried cylinders with application to blood properties determination / | Cai01.13.08.M.Sc.2014.Mo.R Reconfigurable Planar Antennas / | Cai01.13.08.M.Sc.2014.Mo.R Reconfigurable Planar Antennas / | Cai01.13.08.M.Sc.2014.Mo.S Sense{u2160}/O: realistic ubiquitous indoor outdoor detection system using smartphones / | Cai01.13.08.M.Sc.2014.Mo.S Sense{u2160}/O: realistic ubiquitous indoor outdoor detection system using smartphones / | Cai01.13.08.M.Sc.2014.Mu.I An innovative cooperative spectrum sensing algorithm with non - ideal feedback channels and delay considerations / | Cai01.13.08.M.Sc.2014.Mu.I An innovative cooperative spectrum sensing algorithm with non - ideal feedback channels and delay considerations / |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications
In this work, we address the problem of realistic and ubiquitous indoor/outdoor detection system (SenseI/O) which is envisioned to be deployed worldwide, with minimum overhead, using mobile devices. Such efficient detection of the surrounding environment (indoor vs. outdoor) definitely serves those upper layer applications to improve their performance, make an effective decision about whether to turn on/off the used sensors and reduce the energy consumption aspects as well. SenseI/O consists of four main modules: (1) Smoothed single cell tower, (2) Activity recognition, (3) Wi-Fi based, and (4) Light intensity to ensure our aimed realistic and ubiquitous principles
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