Fingerprinting Indoor Localizaion /
Maafer Mansour Hazaa
Fingerprinting Indoor Localizaion / تحديد المواقع فى الأماكن المغلقة بإستخدام تقنية البصمات Maafer Mansour Hazaa ; Supervised Reda Elkhoribi - Cairo : Maafer Mansour Hazaa , 2014 - 85 P. : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology
This thesis focuses on Wi-Fi location fingerprinting based indoor positioning with the aim of enhancing the performance of estimated location of a mobile user, without demanding a larger radio map with additional signal strength measurements in more locations. For this purpose, two proposed methods are developed in fingerprinting various mobile devices. The first proposed method is a hybrid of KNN- CART and the other called bagging trees method. The proposed methods are compared to previously introduced methods
Classification and regression tree (CART) Fingerprinting K-Nearest Neighbor (KNN)
Fingerprinting Indoor Localizaion / تحديد المواقع فى الأماكن المغلقة بإستخدام تقنية البصمات Maafer Mansour Hazaa ; Supervised Reda Elkhoribi - Cairo : Maafer Mansour Hazaa , 2014 - 85 P. : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology
This thesis focuses on Wi-Fi location fingerprinting based indoor positioning with the aim of enhancing the performance of estimated location of a mobile user, without demanding a larger radio map with additional signal strength measurements in more locations. For this purpose, two proposed methods are developed in fingerprinting various mobile devices. The first proposed method is a hybrid of KNN- CART and the other called bagging trees method. The proposed methods are compared to previously introduced methods
Classification and regression tree (CART) Fingerprinting K-Nearest Neighbor (KNN)