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Sense{u2160}/O: realistic ubiquitous indoor outdoor detection system using smartphones / Mohsen Ali Mohsen Alawami ; Supervised Hossam Ali Fahmy , Tamer Elbatt , Moustafa Ameen Yousef

By: Contributor(s): Material type: TextTextLanguage: 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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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications Summary: 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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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis 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 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

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

Issued also as CD

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