AIRCC's International Journal of Computer Science and Information Technology

Sherif Kamel Hussein ¹

Affiliations
1 Department of Communications and Computer Engineering, University for Modern Sciences and Arts, Giza, EG

Abstract

Nowadays the technology is embedded in every utilized application to increase the reliability and minimize the human errors caused by the conventional methods. The traditional methods usually been used in restaurant is by taking the customer’s orders and write it down on a piece of paper. Many ordering systems have been proposed in order to solve this issue. In this paper a newly proposed model called Smart Menu is designed basedon the Wi-Fi technology as the communication medium and Peripheral Interface Controller ( ARM Cortex – m7 processor ) as the hardware which implements faster ordering system. The aim for the smart menu model is to build and design both hardware and software for the ordering and delivering system at restaurants by using TFT LCD connected to the kitchen through WI-Fi technology. Result shows that the hardware and software are successfully functional and able to be used as a smart ordering system. The proposed model is able to handle the lack number of the workers, reduce the lateness and the error on ordering foods by the customers.

Keywords

Thick Film Transistor (TFT), Advanced Risk Machine Microcontroller (ARM) cortex-M7, wireless Fidelity (Wi-Fi), Graphically Liquid Crystal Display (GLCD), Secure Digital (SD) Card.

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Sherif Kamel Hussein ¹, Mashael Amer Al-Mutairi ²

Affiliations
1 Department of Communications and Computer Engineering October University for Modern Sciences and Arts, EG
2 Arab East Colleges for Graduate Studies,-Riyadh, SA

Abstract

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).

Keywords

Mobile Robot, Swarm Robot, Navigation, Obstacle Avoidance, Fuzzy Logic Controller.

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Sherif Kamel Hussein ¹, Sultanah AL-Sedairi ², Nawal AL-Rahimi ²

Affiliations
1 Department of Communications and Computer Engineering, October University for Modern Sciences and Arts, Giza, EG
2 Master of Computer Science, Arab East Colleges for Graduate Studies, Riyadh, SA

Abstract

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.

Keywords

Big Data, Data Analytics, Data Mining, Social Media, Kdd, Facebook, Twitter, Instagram.

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