Due to the proliferation in the number of users that are accessing the internet and due to the increase in the number of the electronic devices that support mobility like mobiles, laptops and many others that definitely lead to the need of a protocol that supports a mobility. Mobile Internet Protocol is a recommended Internet protocol designed to support the mobility of a user (host). This protocol provides a continuous connectivity for any mobile host. In the traditional Mobile IP all packets forwarded to the Mobile host from the correspondent node will be forwarded via the Home Agent (HA) and that leads to the triangle routing problem. (ISP MBG) technique is used as a route optimization technique for solving the triangle routing problem in conventional Mobile IPv4. This technique has been implemented on .net platform .The study of this technique was discussed before using 2 similar Internet Service Providers and the simulation results provided a better performance compared with the Conventional Mobile IP Technique. In this paper the simulator will be used to study the performance of the (ISP MBG) technique using two different Internet Service Providers (ISPs) structures separated by a single Mobile Border Gateway (MBG).Simulation results shows also a better performance compared with the conventional Mobile IP technique .
Autonomous mobile robots have been used to carry out different tasks without continuous human guidance. To achieve the tasks, they must be able to navigate and avoid different kinds of obstacles that faced them. Navigation means that the robot can move through the environment to reach a destination. Obstacles avoidance considers a challenge which robot must overcome. In this work, the authors propose an efficient technique for obstacles avoidance through navigation of swarm mobile robot in an unstructured environment. All robots cooperate with each other to avoid obstacles. The robots detect the obstacles position around them and store their positions in shared memory. By accessing the shared memory, the other robots of the swarm can avoid the detected obstacles when they face them. To implement this idea, the Authors used a MATLAB® and V-REP® (Virtual Robot Experimentation Platform).
Social networking sites are a significant source of information to know the behavior of users and to know what is occupying society of all ages and accordingly helpful information can be provided to specialists and decision-makers. According to official sources, 98.43% of Saudi youth use social networking sites. The study and analysis of social media data are done to provide the necessary information to increase investment opportunities within the Kingdom of Saudi Arabia, by studying and analyzing what people occupy on the communication sites through their tweets about the labor market and investment. Given the huge volume of data and also its randomness, a survey of the data will be done and collected from through keywords, the priority of arranging the data, and recording it as (positive - negative - mixed). The study analysis and conclusion will be based on data-mining and its techniques of analysis and deduction.
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