Design And Implementation Of Intelligent Framework For Mobile Phones Based On User Behaviors

Over the last few years, smart phones and other mobile technologies have gained an increasing grasp on our society. With their uses rapidly expanding, the number of people who own some type of mobile device has greatly increased too. So, many big companies in digital world has been trying to move their technology to mobile solutions. As the results, significant improvement happens for both hardware and software and related services. The second phase of the mobile revolution is to create value added services for this massive number of users. The main focus in this thesis is to develop a distributed framework for simplifying the process of creating, running applications for mobile devices based on intelligent APIs. These intelligent APIs will build on the top of data mining and analyzing system called MobilesBrain framework. MobilesBrain is consisted of client and server, it can capture all the user and gadget behaviors, store and analyze these data, and provides simple interface to connect this framework or extend its abilities. Purposed system has capability to use by up to million users with huge amount of data.Our study has shown that we can extract valuable data from user and phone and use these data as helper service to accurate some other user related services. We’ve provided simple structure to extend functionality of the system based on modern concepts and tools in Object-oriented and big data concepts, so it can be used by up to million user without performance issues.During the development of this project, many new technologies like, Hadoop, JPA, HTML5, XSLT, JavaEE7, Android&etc have been used and also by following standard development patterns like component-based development (CBD), many multipurpose tools like XWeb framework have been created that can be used by many other projects as well.