Ramy Moustafa Mohamed Moustafa Aboulnaga <br/><br/>
Indoor localization using cluster Analysis /  
Ramy Moustafa Mohamed Moustafa Aboulnaga ; Supervised Rimon Elias 
 - Cairo :   Ramy Moustafa Mohamed Moustafa Aboulnaga ,   2017 
 - 63 Leaves :   charts , facsimiles ;   30cm  
<br/><br/>Thesis (M.Sc.) - German University - Faculty of  Postgraduate Studies and Scientific Research - Department of Digital Media Engineering and Technology 
<br/><br/> 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