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Riyadh, Saudi Arabia

Al Yamamah University is a university based in Riyadh, Saudi Arabia and recognized by the Ministry of Higher Education. It was founded by Al Khudair family, who in 1957 established Al-Tarbiyah Al-Namouthajiyah Schools , the first private schools in Riyadh.The university comprises the Colleges of Business Administration and Computing and Information Systems as well as the Deanship of Continuing Education and Community Service, and admits male and female students. It maintains a number of collaborative relationships with other academic institutions for the purpose of designing its curricula, enriching its programs, and providing its students and faculty members with opportunities for exchanging information and experience.Students at the university are eligible for financial support from the Ministry of Higher Education in Saudi Arabia. Wikipedia.


Almazyad A.S.,King Saud University | Almazyad A.S.,Al Yamamah University | Ma Q.,King Saud University
Journal of Theoretical and Applied Information Technology | Year: 2016

Pipeline is used worldwide daily to transfer liquid. This process covers large area and may pass through inhospitable environment and face many accidents such as leakage causing lose of resources and may cause hazards. It is necessary to monitor the pipeline system in order to prevent the waste from leakage, and at the same time to calculate the accurate location of the leakage so that it will be easy to maintain under the hot weather especially in desert. Thus we propose this new algorithm called Velocity Integration Method (VIM) for locating of the leakage. This method is easy to implement with lower cost and with high accuracy comparing to other approaches currently exist. © 2005 - 2015 JATIT & LLS. All rights reserved.


Koo C.,Kyung Hee University | Chung N.,Kyung Hee University | Nam K.,Al Yamamah University
International Journal of Information Management | Year: 2015

In this study, we investigated the determinants of perceived usefulness of smart green information technology (IT) device in reducing electricity consumption. Though there are many determinants of intention to use a technology, perceived usefulness is a key determinant of continuance intention. We used motivation theory to explain the causal relationship between motivational variables and perceived usefulness. By using reference group theory, we emphasized how a reference group moderates the relationship between motivations and the perceived usefulness of smart green IT device. We used partial least squares (PLS) regression for analysis and found that intrinsic motivations (perceived enjoyment) significantly relate to the perceived usefulness of smart green IT device. We also found that extrinsic motivations (saving money and legislative pressure) strongly relate to the perceived usefulness of this device. In summary, we found that perceived usefulness strongly impacts the continued use of a smart green IT device and that a reference group partially moderates the independent variables and moderator variables. © 2014 Elsevier Ltd.


Fauzi F.,Al Yamamah University | Belkhatir M.,University of Lyon
Information Processing and Management | Year: 2013

In this paper, we describe a user-centered design of an automated multifaceted concept based indexing framework which analyzes the semantics of the Web image contextual information and classifies it into five broad semantic concept facets: signal, object, abstract, scene, and relational; and identifies the semantic relationships between the concepts. An important aspect of our indexing model is that it relates to the users' levels of image descriptions. Also, a major contribution relies on the fact that the classification is performed automatically with the raw image contextual information extracted from any general webpage and is not solely based on image tags like state-of-the-art solutions. Human Language Technology techniques and an external knowledge base are used to analyze the information both syntactically and semantically. Experimental results on a human-annotated Web image collection and corresponding contextual information indicate that our method outperforms empirical frameworks employing tf-idf and location-based tf-idf weighting schemes as well as n-gram indexing in a recall/precision based evaluation framework. © 2012 Elsevier Ltd.


Jabbar S.,Bahria University | Jabbar S.,COMSATS Institute of Information Technology | Minhas A.A.,Bahria University | Minhas A.A.,Al Yamamah University | And 2 more authors.
Journal of Supercomputing | Year: 2014

Cluster-based network is a proven architecture for energy-aware routing, but more attention is required to ameliorate the energy consumption aspect of its cluster designing process. In this research work, we introduce a novel design of clustered network architecture. The proposed design technique is innovative in its idea. The general trend in this scene is either centralized decision at base station for cluster head selection and its members or distributed decision by exchanging information between neighboring nodes until the cluster head and its members are selected. Both the techniques drastically create mess in energy consumption due to too much broadcasting, especially in large networks as well as message exchange until some final decision is made. Our novel layer-based hybrid algorithm for cluster head and cluster member selection comes up to novel communication architecture. Since its substantial constituent is cluster designing, we named it Multilayer Cluster Designing Algorithm (MCDA). The proposed design not only has effect on lessening blind broadcasting, but also on decreasing the message exchange in a passionate way. It also encapsulates the beauty of efficient centralized decision making for cluster designing and energy-aware distributed cluster head selection and cluster member allocation process. Comprehensive experimentations have been performed on the comparative analysis of MCDA with state-of-the-art centralized and distributed cluster designing approaches present in published literature. Calculation of energy consumption in various operational parametric values, number of clusters designed and the number of packets broadcasted during cluster designing are the main performance evaluation parameters. It has been found that MCDA outperforms compared to its three competing algorithms with respect to the aforementioned parameters due to its multilayered synergistic mating approach. © 2014 Springer Science+Business Media New York.


Saba T.,Prince Sultan University | Almazyad A.S.,King Saud University | Rehman A.,Al Yamamah University
Neural Computing and Applications | Year: 2015

Arabic script classification is a complex area of research in the field of computer vision. The issue of offline Arabic script classification has been a concern of many researchers interest currently as it is assumed that online Arabic script recognition is comparatively simple and significant achievements have been attained. Numerous researchers deal with these issues evolved in pre-processing and post-processing techniques of Arabic script and presented various approaches to improve its accuracy rate. However, offline Arabic script classification and its related issues are still fresh. In this paper, we focus on pre-processing to post-processing techniques and highlight several issues in each phase in order to highlight need of high classification performance for Arabic script classification (offline and online). Additionally, top experimental results are reported, discussed and compared, and current challenges are also discussed. Finally, online versus offline Arabic script recognition achievements are also compared. © 2015 The Natural Computing Applications Forum

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