M. Samir Abou El-Seoud

Clickbait Detection

Clickbait is a term that describes deceiving web content that uses ambiguity to provoke the user into clicking a link. It aims to increase the number of online readers in order to generate more advertising revenue. Clickbaits are heavily present on social media platforms wasting the time of users. We used supervised machine learning to create a model trained on 24 features extracted from a dataset of social media posts to classify the posts into two classes. This method achieved an F1-score of %79 and area under ROC curve of 0.7. The method used highlights the importance of using features extracted from different elements of a social media posts along with the traditional features extracted from the title and the article. In this research, we prove that it is possible to identify clickbaits using all parts of the post while having minimum number of features possible.

E-Learning and motivation effects on Egyptian higher education

The information technology educational programs at most universities in Egypt face many obstacles that can be overcome using technology enhanced learning. An open source Moodle eLearning platform has been implemented at many universities in Egypt, as an aid to deliver e-content and to provide the institution with various possibilities for implementing asynchronous e-learning web-based modules. This paper shows that the use of interactive features of e-learning increases the motivation of the undergraduate students for the learning process.

A pictorial mobile-based communication application for non-verbal people with autism

Non-verbal people with autism are usually unable to communicate normally using natural languages. They can, however, learn to communicate through specific symbols and images. Special education instructors have adopted this method of communication to teach non-verbal people with autism. They introduce the symbols and images to them through different methodologies. This learning process appeared to be effective but it is very long. The process is carried out manually and requires a lots of times, dedication, and resources. The instructors should find the materials in different formats and circumstances. They should repeat the lessons several times and normally in a face-to-face framework. We propose in this paper a mobile-based application that allows non-verbal people with autism to learn and communicate with their surroundings using a smart device. They can then be taught to use specific symbols and images through the smart mobile phones. They can form simple words and sentences to express their feelings and needs. The application is flexible and allows the addition of new contents very easily. To assess the progress of the users, different exercises and puzzles are proposed. These allow the users to improve their skills and to continue learning outside the classrooms.

Beyond android: An essential integration for better utilization

Modern mobile communication technology had solved many problems for business and individuals. Modern open source android applications are featured individually. The integration of such applications will be essential for team managers or seniors. Many trials of integration do exist such as TripIt, Gist, TouchDown and iSolve, as an example. In this paper we introduced an integrated third party application that has essential features and functions. The proposed application is user friendly, efficient and cost effective.

Developing an Android Mobile Bluetooth Chat Messenger as an Interactive and Collaborative Learning Aid

With the development of digital technologies in recent decades, there has been drastic change in the mode of communication and usages of digital accessories in our today lives. It is sure that invention of mobile phone/smart phone has enhanced our life standard and made life easier. The main aim of this research paper is to analyze, design, build and test Bluetooth chat software. The software has been developed as an Interactive and collaborative learning aid. That tool could benefit students in general specially students with disability. Using the developed system, disable students can connect with their peer students, who are within Bluetooth range, without having access to Wi-Fi or Internet. The application does not require any Internet connection, the application works just with Bluetooth connectivity, users can send free message to their friends sitting over classroom, school playgrounds and festivals, when nearby, without a cellular connection or Wi-Fi. Moreover, the application is very easy to use. Bluetooth messaging is also great for making new friends in a library or chatting up someone in crowded places, because one can hook up with anyone who has a Bluetooth-enabled phone. There were previous attempts to create a similar product with little success. Short Messaging Service (SMS) offers the same services as Bluetooth Chat for a fee; but the developed Bluetooth Chat Messenger is free. The research will elaborate on the details.

Semantic-Web automated course management and evaluation system using mobile applications

Different types of e-assessment systems that are recognized at universities and based on the campus wireless have been developed. These systems help the students to use their Mobile Phones as learning media to access the information more easily from anywhere and at anytime. Seppala and Alamaki developed a mobile learning project for teacher training. Their study compared the effectiveness of internet, face-to-face and mobile based instructions. Al Masri has proposed a study to compare the effective strategy in paper-based assessment with mobile-based assessment for assessing university students in English literature. It has been found that students gained better scores in mobile phone-based test than in paper-based test. This paper aims to determine and measure the effects of mobile-based assessments on the perception, achievement levels and performance of the students in internet-assisted courses. The main functionalities and features of this paper are: Knowledge evaluation, automatic generation of exams, exam grading, communication, course management, and questions-bank database.

Teaching Design Project in Introductory Engineering Course Using 3D Modeling and Immersive Virtual Reality

This paper presents a new approach for delivering the project component in introductory engineering course. The approach is based on using 3D modeling software to create the prototype of the product. Furthermore, immersive VR display were utilized to enable the students to explore and inspect their design in different stages and discover the problems in the design. The approach enabled the students to get perception of their design and interact with the model from different angle and navigate around which gave them closer look at the design that usually impossible using the traditional 2D display. The results showed that the VR approach increased the attainment of the students in the project.

A Proposed Lightweight Cloud Security Framework to Secure Communications Between Internet of Things Devices

Cloud services can be categorized into Infrastructure as a Service (IaaS), the Platform as a Service (PaaS) and the Software as a Service (SaaS). In (Iaas), the whole IT infrastructure can be delivered as a service. In (Paas), a virtual platform over the internet gives users the ability to develop and deploy applications. In (SaaS), it provides accessing an application through the internet on demand. In the (SaaS) layer, a single instance on the cloud for multiple users could be provided. Google Apps, one of the most powerful (SaaS) that is used by many institutes to provide a variety of Web-based applications for business, education, and government. Security in Cloud computing is an important and critical problem. Cloud service provider and the cloud service consumer should make sure that the cloud is safe enough from all the external threats so that the customer does not face any problem such as loss of data or data theft. Internets of Things (IoT) are small IP enabled devices that can cooperate to perform specific functions for various set of applications. This new emerging technology is strongly involved in applications that have direct impact on human welfare, such as business, education and government. Securing IoT device’s communications are becoming a must. In this paper a lightweight technique for secure and authentic communication between IoT devices. That lightweight technique is based on framework of ideas from virtual server, network management and cloud services.

Comparable and Analytical Study Between Some Security Issues in Cloud Computing

Cloud Computing appears as a computational model and a distributive architecture framework. The main objectives of cloud computing are to provide secure, quick, convenient data storage and net computing service, with all computing resources visualized as services and delivered over the Internet. The term “Cloud Computing” has been in the spotlights of IT, CS and CE specialists in the last years because of its potential to transform this industry. Security in Cloud Computing is an important and critical aspect, and has numerous issues and problem related to it. Cloud service provider and the cloud service consumer should make sure that the cloud is safe enough from all the external threats so that the customer does not face any problem such as loss of data or data theft. This research presents and classifies the factors that affect the security of the cloud then it explores the cloud security issues and problems faced by cloud service provider and cloud service consumer. The main goal of this research study is to introduce a comparable analysis for the proposed security issues, the security categories, and the cloud computing services.

Improved Driver Drowsiness Detection Model Using Relevant Eye Image’s Features

Driver drowsiness is one of the critical causes of roadways accidents nowadays. Thus fatigue and drowsiness detection play vital role in preventing the corresponding road accidents. Over the last decade, many image processing based approaches were developed to detect driver’s fatigue and drowsiness status. These approaches mainly focus on the extraction of the drivers face and predict the eye blinking rate from the eye region and the yawning rate from the mouth region. However, these features are not necessarily the best to describe the driver’s fatigue level, because from one side, some drivers may have imbalanced eye blinking rate due to medical issues, and from the other side, some drivers may have high yawning rate while they have fully driving attention. In this paper, an online face monitoring system was installed and a large list of eyes area features was extracted in spatial and frequency domain including two new features which are circularity and black ratio. Four support vectors machine classification models were developed based on combinations of the relevant features. The analysis of these models showed that the highest accuracy (91.3%) was achieved when the wavelet coefficients, texture features, circularity, and black ratio are employed. The results of the proposed approach indicated its promising inline implementation into car cabin to decide the drivers drowsiness status.