Abu-Arqoub Mmohammed, " Method of Design Programming Models for Bit-Slice Microprocessor Systems Using High Level Languages " , "EZVESTIA journal No. 442",Vol.,No.442, , Saint Petersburg, 04/10/1995
:الملخص
Method of Design Programming Models for Bit-Slice Microprocessor Systems Using High Level Languages", EZVESTIA journal No. 442 Saint Petersburg. 1995, PP. 6-12.
Hussein Al-Bahadili,, " Modeling and Analysis of Cloud Collaborative Commerce " , "International Journal on Cloud Computing: Services and Architecture (IJCCSA)",Vol. 3,No.1, AIRCC, international, 02/26/2013
:الملخص
Cloud computing has the potential to be particularly suitable for collaboration commerce (c-commerce) because it generally requires less extensive customization, development, integration, operation, and maintenance than other computing resources. However, upgrading c-commerce IT infrastructure, to run on cloud computing, faces a number of challenges, such as lack of effective design and implementation models. This paper describes and evaluates the performance of a new model of c-commerce that utilizes the evolving cloud computing technologies; as a result of that it is referred to as cloud collaborative commerce (cc-commerce) model. The model consists of six main components, these are: client, provider, auditor, broker, security and privacy, and communications network. The new cc-commerce model is used to develop a simple and flexible Web-based test tool, namely, the cc-commerce test (3CT) tool. The performance of the new model is evaluated by measuring the response times for four different configurations using the 3CT tool. The results obtained demonstrate that the cc-commerce model performs faster than equivalent c-commerce models. URL: http://airccse.org/journal/ijccsa/current2013.html
Hussein Al-Bahadili , " The Architecture and Analysis of a New Cloud Collaborative Commerce Model " , "International Journal of Cloud Applications and Computing (IJCAC)",Vol. 3,No. 3, IGI-Global, USA, 11/30/2013
:الملخص
Cloud Computing IT infrastructure has the potential to be particularly suitable for collaborative commerce (c-commerce) applications; because it generally requires less efforts and interferences for development, customization, integration, operation, and maintenance than other traditional IT infrastructures (e.g., on-premises and data centers). However, upgrading c-commerce applications running on traditional IT infrastructures, to run efficiently on cloud computing infrastructure, faces a number of challenges, mainly, lack of effective and reliable architectural model. This paper presents a description of a new architectural model for developing cloud computing based c-commerce applications; which is denoted as cc-commerce model. The model is an basically based on the standard cloud computing model, and it consists of six main components; these are: client, provider, auditor, broker, security and privacy, and communications network. The new model is implemented in a simple and flexible Web-based test tool, namely, the cc-commerce test (3CT) tool, which is used to evaluate the performance of the model through measuring the response times for four different configurations. The analysis of the obtained results demonstrates that the cc-commerce model can provide better response time than equivalent c-commerce models.
Ghassan F. Issa, Hay, " A Framework for Collaborative Networked Learning in Higher Education: Design & Analysis " , "International Journal of Emerging Technologies in Learning (iJET)",Vol.9,No.4, iJET, , 07/27/2014
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This paper presents a comprehensive framework for building collaborative learning networks within higher educational institutions. This framework focuses on systems design and implementation issues in addition to a complete set of evaluation, and analysis tools. The objective of this project is to improve the standards of higher education in Jordan through the implementation of transparent, collaborative, innovative, and modern quality educational programs. The framework highlights the major steps required to plan, design, and implement collaborative learning systems. Several issues are discussed such as unification of courses and program of studies, using appropriate learning management system, software design development using Agile methodology, infrastructure design, access issues, proprietary data storage, and social network analysis (SNA) techniques.
Mohammad Abu-Arqoub,, " Demand-Driven Algorithm for Sharing and Distribution of Photovoltaic Power in a Small Local Area Grid " , "The International Journal of Information Technology and Web Engineering (IJITWE),",Vol.9,No.1, IJITWE, usa, 01/31/2014
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The objective of installing a residential photovoltaic system is to cut the cost of the monthly electric bill. However, many homeowners, especially those with low-income, find it difficult to invest in such systems because require substantial upfront investment. This chapter presents a project called PSD-LAG( “Sharing and Distribution of Power-Local Area Grid”) which attempts to solve the issue of installation cost relying on the concept of power sharing and distribution. Thus two or more neighboring households can share the cost of installation, and accordingly share the generated electric power. A Demand-Driven algorithm is implemented and is embedded in a micro-processor based control unit, called "Intelligent Power Distribution and Control Unit (IPDC Unit)", over sees the operation of the PSD-LAG system. It reads the status of generated power, power requirements for each home, power quota for each home, and accordingly controls a set of hardware devices to distribute the power in a most efficient manner based on usage and quota. At the core of the PSD-LAG is an Intelligent Power Distribution and Control Unit (IPDC Unit) that provides instantaneous monitoring, protection and control. It is an embedded Operating System that reads the status of generated power, power requirements for each home, power quota for each home, and accordingly controls a set of hardware devices to distribute the power in a most efficient manner based on usage and quota.
Mohammad Abu-Arqoub, Ghassan F. Issa, Wael M. Hadi, " The Impact of Feature Selection Methods for Classifying Arabic Textual Data " , "International Journal of Recent Technology and Engineering (IJRTE)",Vol. Volume-8 Issue-4,No., Blue Eyes Intelligence Engineering & Sciences Publication , Amman, 11/28/2019
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Abstract: Text classification is a vital process due to the large
volume of electronic articles. One of the drawbacks of text
classification is the high dimensionality of feature space.
Scholars developed several algorithms to choose relevant
features from article text such as Chi-square (x2
),
Mohammed Abu-Arqoub, Ghassan Issa, Abed Elkareem Banna and Huda Saadeh, " Interactive Multimedia-Based Educational System for Children Using Interactive Book with Augmented Reality " , "Journal of Computer Science",Vol. Volume-15 Issue-11,No., Science Publications, United Arab Emirates, 11/19/2019
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Abstract: This paper describes a system's model for Augmented Reality
Learning in which a traditional book is converted to an interactive book
using Glyphs (TAGs) and multimedia. The interactive book can be used by a
child, parent, or by a teacher to make learning an enjoyable experience. As
the
Abdelraouf Ishtaiwi, Feda Alshahwan, Naser Jamal, Wael Hadi, Muhammad AbuArqoub, " A Dynamic Clause Specific Initial Weight Assignment for Solving Satisfiability Problems Using Local Search " , "Algorithms",Vol.14,No., Multidisciplinary Digital Publishing Institute, Switzerland, 01/05/2021
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Abstract
For decades, the use of weights has proven its superior ability to improve dynamic local search weighting algorithms’ overall performance. This paper proposes a new mechanism where the initial clause’s weights are dynamically allocated based on the problem’s structure. The new mechanism st
Mohammed Abu-Arqoub, Wael Hadi, Abdelraouf Ishtaiwi, " ACRIPPER: A New Associative Classification Based on RIPPER Algorithm " , "Journal of Information & Knowledge Management",Vol.20,No., World Scientific Publishing Company, SINGAPORE, 03/12/2021
:الملخص
Associative Classification (AC) classifiers are of substantial interest due to their ability to be utilised for mining vast sets of rules. However, researchers over the decades have shown that a large number of these mined rules are trivial, irrelevant, redundant, and sometimes harmful, as they can
