Arab Open University

Saudi Arabia

Arab Open University

Saudi Arabia
SEARCH FILTERS
Time filter
Source Type

Abdel-Jaber H.,Arab Open University
Journal of Information and Knowledge Management | Year: 2017

Despite the proliferation of studies outlining the immense benefits obtained from e-learning, the understanding of students' satisfaction with e-learning in developing countries is still unclear. Therefore, this paper investigates the relationship between Saudi students' satisfaction with online courses and a number of individual, as well as institutional characteristics cited as robust predictors of students' satisfaction in the educational literature. These include: students' levels of internet self-efficacy, self-regulated learning, assessment of course and instructors' interactivity and their evaluation of the Learning Management System (LMS) used. The results indicated that students' internet self-efficacy and self-regulated learning constitute critical factors influencing students' satisfaction with e-learning. Further, students' assessment of course, as well as instructors' interactivity are found to marginally affect perceived satisfaction with e-learning among Saudi students. The LMS used (Blackboard) seemed to be the weakest factor influencing students' experience with online education. Overall, based on the results obtained and in order to maximise the benefits of e-learning; this paper recommends for Saudi universities to extensively use LMS to increase the interactions among primary stakeholders: students-instructors, students-students and students-LMS. © 2017 World Scientific Publishing Co.


Sharawi M.,Arab Open University | Emary E.,Cairo University
9th International Conference on Advanced Computational Intelligence, ICACI 2017 | Year: 2017

This work introduces a cluster head selection optimization model in wireless sensor networks (WSN). It applies the grey wolf optimization. The optimization of WSN cluster heads greatly influences the network life time. Grey wolf optimization(GWO) is a recently proposed optimizer that has a variety of successful applications. Therefore, adapted and applied in here to solve the CH selection problem. Suitable fitness function were employed to ensure coverage of the WSN and is fed to the GWO to find its optimum. Results of the introduced model is compared with the LEACH routing protocol. Four different deployments of the WSN are examined. Lifetime, residual energy and network throughput performance indicators are examined in our experiments as assessment indicators. The introduced system outperforms the LEACH in almost all topologies using the different indicators. © 2017 IEEE.


Grant
Agency: European Commission | Branch: FP7 | Program: CSA-CA | Phase: INCO-2007-1.2 | Award Amount: 4.94M | Year: 2008

The present Coordination Action aims at developing the objectives of the INCO-Net MPC action as described in the Call for proposals, to further enhance regional S&T dialogue in the Mediterranean Region and the complementarities with activities carried out by other European Policy instruments, notably the Union for the Mediterranean (UfM). These objectives are focused on creating a dialogue platform using the state of the art of the ICT technologies, which will enable the discussion between relevant stakeholders from both sides of the Mediterranean to improve the S&T cooperation by, among other means, connecting and facilitating the interaction between the dispersed S&T cooperation initiatives already existing supported by the Member States, the European Commission and other political bodies; addressing training activities to improve the quality of the participation and management of the partners of FP7 from the MPC; creating discussion platforms and organizing meetings to monitor and discuss the content of the Thematic priorities of FP7 in term of the common interest of the EU and MPC; creating an Observatory of the EU-MPC S&T cooperation, which will agree indicators for the monitoring of RTD cooperation activities; and creating networks of research institutions and technological transfer services from both sides of the Mediterranean, to support strategic collaboration and provide a reference element for the development of the Euro-Mediterranean Innovation Space. All these activities are aimed at providing a strong institutional basis for the EU-MPC S&T cooperation. Furthermore, the mentioned objectives will be complemented with other activities, notably the development toward the common appropriation of the results of MIRA to activities on Innovation, and profiting the identification of common scientific priorities that could be used as clustering glue (Research Driven Clusters) around Projects already approved by the UfM, where business development can be foreseen using the Research potential in both sides of the Mediterranean. Supporting the activities of the UfM Programs that need the identification and development of a Research agenda in support of its objectives, notably the Program Horizon 2020 and the strengthening of the industrial cooperation through the creation of the Euro-Mediterranean Innovation Space is as well scheduled. All these activities are aimed at providing a strong institutional basis for the UfM cooperation in RTD.


Jabeur N.,Arab Open University | Sahli N.,German University of Technology in Oman | Khan I.M.,Al-Buraimi University College
Procedia Computer Science | Year: 2013

We survey the sensor network holes from a cause-effect-solution perspective. We first propose a new taxonomy (PLMS) which classifies holes into type groups according to the cause of anomaly. We discuss the effects of holes on the sensor network. Finally, we survey the different curative approaches (prevention, detection, repairing, avoidance). © 2013 The Authors. Published by Elsevier B.V.


Grant
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: ICT-2013.10.3 | Award Amount: 897.95K | Year: 2014

The ClusMED project is a Support Action (SA) intended to contribute to international cooperation between EU and MED countries in the field of ICT Regulations in support of Societal Challenges.\nClusMED aims at implementing cooperative research in the ICT sector through the identification, analysis and benchmarking of national ICT regulations, taking into consideration five target MED countries (Lebanon, Egypt, Tunisia, Algeria, Morocco). The project will focus on the role of regulations as enablers of development in the ICT sector: to this end, it will assess and compare the ICT regulatory frameworks currently operating in MED countries, with the aim of identifying and sharing best practices. MED ICT regulations will also be benchmarked against some EU regulatory standards and experiences in overcoming barriers to the full exploitation of ICTs for tackling Societal Challenges. This objective will be mainly achieved through the implementation of multi-stakeholders workshops, which will also contribute to the setting up of a permanent dialogue between European and Mediterranean countries on regulatory issues in the ICT sector, as one of the key drivers of sustainable and inclusive growth.\nIn order to maximize the impact and diffusion of project results, ClusMED will build synergies with other relevant initiatives concerning international cooperation with MED countries, in particular with MOSAIC and MED Dialogue, the other two projects resulting from the call FP7-ICT-2011.10.3 International partnership building and support to dialogues and with EMERG, the Euro-Mediterranean Regulators Group initiative. ClusMED will also establish a proper exchange of information with relevant ICT European Technology Platforms.


Jabeur N.,Arab Open University | Zeadally S.,University of the District of Columbia | Sayed B.,Dhofar University
Communications of the ACM | Year: 2013

The latest advances in mobile computing, hardware, and software empower end users worldwide through a range of mobile devices with improved and novel capabilities. The result is intense competition among providers of online social services for mobile users regardless of location and profile, along with numerous mobile social networking (MSN) applications in which billions of people use their mobile devices to tap a spectrum of instant, relevant, high-quality services. MSN applications are social structures consisting of individuals or organizations connected through specific types of interdependency similar to online social networking sites (OSNS). They are based on a variety of architectures depending on whether they are extensions of existing OSNS, designed for mobile devices, focused on mobile users, or data- or service-oriented.


Abdel-jaber H.,Arab Open University
Journal of King Saud University - Computer and Information Sciences | Year: 2015

Congestion control is one of the hot research topics that helps maintain the performance of computer networks. This paper compares three Active Queue Management (AQM) methods, namely, Adaptive Gentle Random Early Detection (Adaptive GRED), Random Early Dynamic Detection (REDD), and GRED Linear analytical model with respect to different performance measures. Adaptive GRED and REDD are implemented based on simulation, whereas GRED Linear is implemented as a discrete-time analytical model. Several performance measures are used to evaluate the effectiveness of the compared methods mainly mean queue length, throughput, average queueing delay, overflow packet loss probability, and packet dropping probability. The ultimate aim is to identify the method that offers the highest satisfactory performance in non-congestion or congestion scenarios. The first comparison results that are based on different packet arrival probability values show that GRED Linear provides better mean queue length; average queueing delay and packet overflow probability than Adaptive GRED and REDD methods in the presence of congestion. Further and using the same evaluation measures, Adaptive GRED offers a more satisfactory performance than REDD when heavy congestion is present. When the finite capacity of queue values varies the GRED Linear model provides the highest satisfactory performance with reference to mean queue length and average queueing delay and all the compared methods provide similar throughput performance. However, when the finite capacity value is large, the compared methods have similar results in regard to probabilities of both packet overflowing and packet dropping. © 2015 The Author.


Amaneddine N.,Arab Open University | Condotta J.-F.,University of Lille Nord de France
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

We study in this paper the problem of global consistency for qualitative constraints networks (QCNs) of the Point Algebra (PA) and the Interval Algebra (IA). In particular, we consider the subclass corresponding to the set of relations of PA except the relations {<,=} and {>,=}, and the subclass corresponding to pointizable relations of IA one can express by means of relations of . We prove that path-consistency implies global consistency for QCNs defined on these subclasses. Moreover, we show that with the subclasses corresponding to convex relations, there are unique greatest subclasses of PA and IA containing singleton relations satisfying this property. © 2012 Springer-Verlag.


Amaneddine N.,Arab Open University | Condotta J.-F.,University of Lille Nord de France
FLAIRS 2013 - Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference | Year: 2013

Spatial and temporal reasoning is a crucial task for certain Artificial Intelligence applications. In this context, and since two decades, various formalisms representing the information through qualitative constraint networks (QCN) have been proposed. Given a QCN, the main two problems that are facing researchers are: deciding whether this QCN is consistent or not, and, the minimal labeling problem. In this paper, we propose an efficient algorithm aiming at solving the minimal labeling problem. This algorithm is based on subclasses of relations for which the property of ◇-consistency implies the minimality of the QCN. Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.


Suwais K.,Arab Open University
WSEAS Transactions on Information Science and Applications | Year: 2014

This paper presents a new parallel model for Rabbit stream cipher. The goal of this model is to enhance the performance of Rabbit cipher by accelerating its keystream generation and encryption processes. The underlying concept of the new model was built based on utilizing multi-core processors to generate multiple keystreams simultaneously. The results showed that the new parallel model could enhance the encryption speed of Rabbit of about 1.4, 1.6 and 2.3 times on single, dual and quad core processors.

Loading Arab Open University collaborators
Loading Arab Open University collaborators