Osama Badawy

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Feedback on student performance is a critical part of eLearning environment[1]. Assessment is one of the most important activities in education to evaluate the knowledge level of a student and to highlight the mistakes and misconceptions; espacially, in Multiple Choices (MC) Exam which discovers the weak points of lesson in addition to prerequisite lessons.(More)
It has recently been shown that Artificial Immune Systems (AIS) can be successfully implemented as biologically inspired systems. The Artificial Immune Network (AIN) is one of the computationally intelligent systems that are inspired by the processes of the immune system. Many algorithms are used to exploit the immune system's characteristics of learning(More)
E-payment is considered a cornerstone in daily e-transactions. There are many proposed e-payment protocols but the majority of such protocols were designed just to satisfy the traditional flow of payment data which increases the users' risk because of security vulnerabilities and privacy leakage. The Secure Electronic Transaction protocol (SET), a de facto(More)
Mobile payments and mobile banking are growing trends among smart phone users. However, many attempts have failed to push such trends further. One of the main reasons is that most current mobile payment systems encompass a high number of cryptographic operations which consume a high percentage of the mobile handset resources. This paper proposes a light(More)
In recent years, the noticeable move towards using mobile devices (mobile phones and PDAs) and wireless technologies has made information available in the context of "anytime, anywhere using any mobile device" experience. Delivering information to mobile devices needs some sort of communication means such as Push, Pull, or mixed (Push and Pull) technologies(More)
In this paper, we introduce a Hidden Markov Model (HMM) recognition system for the articulation features of Arabic phones. The low-level features are described by Mel-Frequency Cepstral Coefficients (MFCCs). The created HMMs directly model certain articulation features (fricative and plosive). Classification is done on these features regardless of the phone(More)
The need for intelligent systems has grown in the past decade because of the increasing demand on humans and machines for better performance. The researchers of AI have responded to these needs with the development of intelligent hybrid systems. This paper describes the modeling language for interacting hybrid systems in which we will build a new hybrid(More)
Rough set theory, which emerged about 20 years ago, is nowadays a rapidly developing branch of artificial intelligence and soft computing. In this paper, we present a new approach (RS_DT) for construction of decision tree based on rough set theory, which will be induced a simpilified tree. This tree is transformed into an initial population of genetic(More)
Egyptian Rough Sets Working Group htm. group-working-sets-rough / ABO / kw. edu. cba. The Egyptian Rough Computing Journal (ERCJ) is biannual and refereed journal published by the Egyptian rough sets working group. This journal provides a forum for the research and development in the fields of rough sets and their applications. It will publish in electroinc(More)
The Probabilistic Rough Induction is based on the combination of Generalization Distribution Table (GDT) and The Rough Set methodology. A GDT is a table in which the probabilistic relationships between concepts and instances over discrete domains are represented. The GDT provides a probabilistic basic for evaluating the strength of a rule. Furthermore, the(More)