Yanbu‘ al Baḩr, Saudi Arabia
Yanbu‘ al Baḩr, Saudi Arabia

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Sideeg A.I.A.,Yanbu University College
International Journal of Applied Linguistics and English Literature | Year: 2015

This research article aims to explore and critically examine six cases in which traces of ideology are explicitly or implicitly involved in the context of translating the Qurān into English. It attempts to answer questions pertinent to the nature and effect of traces of ideology on translating the Qurān in English and the way they shape the Qurānic message. The article employs a critical qualitative framework that allows for the researcher’s subjective interpretations of relevant texts. Critical Discourse Analysis (CDA) is used for the analysis of data as this approach provides a convenient mode of critical thinking to carry out the present thesis. In this article, six texts across twenty versions of the Qurān in English are investigated in terms of their salient features that reflect peculiar ideological readings. Major findings indicate that complex traces of ideology may contribute to a particular choice in translating the salient features in the texts investigated. The case of Helminski, for instance, shows how cultural and linguistic backgrounds, Sufi doctrines, and feminist agendas all combine to produce a radical reading of the Qurān in English where she consistently refers to Allah (SWT) with the combination he/she. Sufi ideologies are crucial in translating some pronouns with controversial references in some Qurānic verses. As well, gnostic interpretations have their own legacy such as the alteration in Khalifa’s ‘authorized version’. Plus, Neo-Mutazilite and Qurānist traces of ideology significantly contribute to produce alien readings of some Qurānic texts as illustrated in cases (5) and (6) in this research article. © 2015, Australian International Academic Centre PTY LTD. All rights reserved.

Uddin Z.,Yanbu University College | Uddin Z.,Graz University of Technology | Uddin Z.,University of Karachi
Chinese Journal of Physics | Year: 2014

Ten new odd levels, of praseodymium I (Pr I), having angular momentum less than 3.5, have been discovered through Fourier transform spectroscopy and presented in this paper. The discovered levels not only explain previously known lines, but also explain some new lines of Pr I. All the new levels together explain fifty-six atomic lines. Previously known classifications of two of the lines of Pr are incorrect, new classifications of these lines have been suggested. © 2014 The physical society of the republic of china.

Sidhu M.S.,University of Tenaga Nasional | Maqableh W.,Yanbu University College
Proceedings of the IASTED International Conference on Advances in Computer Science and Engineering, ACSE 2012 | Year: 2012

Multimedia and augmented reality (AR) are fast growing technologies for interactivity and visualization purposes. One domain where these technologies would be useful is in showing interactive animation engineering concepts which are otherwise difficult to be visualized from static images. This paper addresses a new technique to design and simulate an engineering problem i.e. four bar linkage (4BL) mechanism. We adopted multimedia and AR technologies to model the selected engineering problem to help students in the understanding and visualization process. The problem was modeled using an AR toolkit to simulate the four bar linkages that allow users to input the values based on Grashofs law and show the correct orientations with motion of the 4BL mechanism in a real time 3D environment. The design approach showed that the simulation tool helped students in understanding the motion of the 4BL mechanism problem better.

Al-Alwani A.,Yanbu University College
Journal of Computer Science | Year: 2015

Email based communication over the course of globalization in recent years has transformed into an all-encompassing form of interaction and requires automatic processes to control email correspondence in an environment of increasing email database. Relevance characteristics defining class of email in general includes the topic of thee mail and the sender of the email along with the body of email. Intelligent reply algorithms can be employed in which machine learning methods can accommodate email content using probabilistic methods to classify context and nature of email. This helps in correct selection of template for email reply. Still redundant information can cause errors in classifying an email. Natural Language Processing (NLP) possess potential in optimizing text classification due to its direct relation with language structure. An enhancement is presented in this research to address email management issues by incorporating optimized information extraction for email classification along with generating relevant dictionaries as emails vary in categories and increases in volume. The open hypothesis of this research is that the underlying concept to fan email is communicating a message in form of text. It is observed that NLP techniques improve performance of Intelligent Email Reply algorithm enhancing its ability to classify and generate email responses with minimal errors using probabilistic methods. Improved algorithm is functionally automated with machine learning techniques to assist email users who find it difficult to manage bulk variety of emails. © 2014 The Abdulkareem Al-Alwani.

Al-Alwani A.E.S.,Yanbu University College
International Conference on Enterprise Information Systems and Web Technologies 2010, EISWT 2010 | Year: 2010

This study examined the barriers to use of information technology (IT) in science education at the Yanbu school district in Saudi Arabia. Sub-domains investigated included: infrastructure and resources, policy and support, science teachers' personal beliefs, and staff development. We present a survey which shows common barriers encountered by the science teachers were identified. Demographic data enabled description of science teachers based on similarities and differences of gender, location of the school, training, years of teaching experience, and age. Science teachers rated the barriers limiting their use of technology in teaching on a scale ranging from 0 (does not limit) to 3 (greatly limits). We present results which showed that all four domains were highly significant barriers: infrastructure and resources (M = 2.06, p<.001); staff development (M = 2.02, p<.001); policy and support (M = 1.84, p<.001); and science teachers' personal beliefs regarding technology (M = 1.15, p<.001). The more barriers comes to face the teachers who are related to science and are experienced, the less likely they were to be IT users (r = -0.16, p =.02). To minimize the impact of these barriers and consequently improve the level of integration of information technology in science education in Saudi Arabia, a well-conceived strategic vision, adequate funding, and good implementation plan are of great importance.

Al-Alwani A.,Yanbu University College
International Journal of Emerging Technologies in Learning | Year: 2014

In the current technological world of Information services, academic systems are also in the process of adapting information technology solutions. Information systems vary for different applications and specifically in academia domain, a range of information systems are available for different institutions worldwide. Integration of e-learning can optimize implementation of computer-based and computer-assisted educational processes at all levels. Therefore it is imperative to assess and evaluate integration of these information systems because they have serious impact on elearning processes. In this study an instrument survey is presented for evaluating integration of information technology systems and practices in an educational environment. Survey is constructed using descriptive questions related to information technology tools to assess qualitative impact and usage of such tools. Critical feedback, analysis and suggestions from 25 educationists played a pivotal role in finalizing proposed survey questionnaire. A subsequent test evaluation by teachers and students is also carried out to assess adequate utilization of information systems in Yanbu University College. The results showed that feedback using this survey can help in identifying technological gaps and facilitate effective integration of information technology in an educational environment. Survey instrument proposed in this research can greatly enhance integration of IT tools as it can identify shortcomings by collecting statistical data from feedback of both faculty and students. Solution to these problems is deterministic and can be easily implemented to optimize overall performance of e-learning systems.

Borade S.N.,Dr. Babasaheb Ambedkar Marathwada University | Deshmukh R.R.,Dr. Babasaheb Ambedkar Marathwada University | Ramu S.,Yanbu University College
24th Mediterranean Conference on Control and Automation, MED 2016 | Year: 2016

Face recognition has become one of the most successful applications in the field of image analysis and understanding. This paper presents a new approach for identity recognition using rank-level fusion of multiple face representations. In this paper, we propose face recognition based on fusion of two well-known appearance-based techniques, Principal Component Analysis and Linear Discriminant Analysis. Fusion is done at rank level using Borda count method. Our experimental work demonstrates significant improvement in recognition accuracy over individual face representations. © 2016 IEEE.

Al-Alwani A.,Yanbu University College
E-Learning and Digital Media | Year: 2014

Research trends related to e-learning systems are oriented towards increasing the efficiency and capacity of the systems, thus they reflect a large variance in performance when considering content conformity and quality standards. The Framework related to standardisation of digital content for e-learning systems is likely to play a significant role in the coming years. Specifically in formal e-learning systems, delivery of technically apt and qualified content is of utmost importance and must undergo scrutiny from experts in the related fields. In this research, a framework is proposed in the form of an instrument survey to evaluate the quality of digital content and its performance in an e-learning platform. Evaluation is made under seven primary criteria with multiple item questions to assess the performance of subject e-content in an e-learning environment. The survey is primarily designed to be incorporated to assess the quality of electronic education in higher education courses in Saudi Arabia. The evaluation framework is developed using an expert-oriented approach using reviews from a panel of 42 experts in the higher education field. This instrument survey presents a basic structure for evaluating and assessing potential of an e-learning digital course. This structure will facilitate standardisation and classification of e-content.

Al-Alwani A.,Yanbu University College
Journal of Computer Science | Year: 2014

Email has been one of the most commonly used tool for communication in the recent years and email management has evolved as a major challenge due to prevailing situation of online email congestion. This study presents a novel algorithm for automatic email response methodology in an Email Management System to minimize email overload. The proposed model uses Bayes classifier to categorize emails into classes and generate suitable replies to these classes using information extraction and template filling. Our research aims to intelligently automate email response using Naïve Bayesian classification and formulate probabilistic dictionaries for accurate information extraction. This research will help in reducing email overload and unavoidable congestion by employing a novel email response architecture for an email management systems. © 2014 Science Publications.

Tuli R.,Yanbu University College
Proceedings of the 2013 3rd IEEE International Advance Computing Conference, IACC 2013 | Year: 2013

One of the most classical applications of the Artificial Neural Network is the Character Recognition System. This system is the base for many different types of applications in various fields, many of which we use in our daily lives. This paper attempts to recognize the characters using a back propagation algorithm and studies the effect of variations of error percentage with number of hidden layers in a neural network. First, the aim is to recognize the twenty-six characters i.e. from A to Z &a to z and then to create a network that could recognize the numerals correctly. © 2013 IEEE.

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