German Jordanian University

www.gju.edu.jo/
Amman, Jordan

GJU is a public university located in Al Mushaqqar near Madaba, Jordan. It offers more than 20 programs to roughly 5000 enrolled students, primarily from Jordan. The curriculum differs from other Jordanian universities by offering German language courses as preparation for the fourth academic year at a university of applied science in Germany and an introduction to German industry. Wikipedia.

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News Article | May 2, 2017
Site: phys.org

Working with colleagues at Princess Sumaya University for Technology (Jordan), German Jordanian University (Jordan), and Mersin University (Turkey), the interdisciplinary team at Bath will aim to improve the living conditions in refugee camps by designing low cost and easy to construct housing that will moderate extremes of temperature and ensure the privacy, comfort and dignity of residents. The three-year project will conduct the largest ever global study investigating thermal, air quality and social conditions in camps housing displaced people. The views of camp occupants and aid agencies such as UNHCR (United Nations High Commissioner for Refugees) on the enhancement of housing and key social issues will be sought as a core element of this study. Aid agencies provide invaluable support and resources for large numbers of displaced people inside camps. However, according to a recent pilot study conducted by the research team, shelter design can create specific problems for inhabitants increasing, in turn, the demands upon humanitarian organisations. For example, health can be undermined when poorly-insulated shelters fail to mediate extremes of temperature and design that doesn't meet the need for privacy and security can harm psychosocial wellbeing. With these findings in view, the researchers will utilize building physics to inform the design of shelters using novel combinations of conventional and non-conventional materials to ensure the shelters naturally stay warm in winter and cool in summer. 20 possible shelter designs will be created, with six designs constructed in the UK to test construction times, and thermally tested in a climate chamber at the University's Building Research Park in Swindon. The most promising of these designs will then be transported to Jordan to test in local conditions and obtain the feedback of camp occupants and aid agencies. The world is currently witnessing the highest ever levels of human displacement with conflicts such as in Syria leading to the creation of a new generation of refugee camps. Whilst camps were originally seen as a short term solution, many across the world exist for years and even decades. As well as Jordan, research will be conducted in refugee camps in three other countries selected to provide as wide a range of climatic, cultural, social and political conditions as possible. At present the team envisage working in Thailand, Turkey and Tanzania. The project will benefit aid agencies such as the UNHCR by creating a manual that explains the benefits of each shelter design, provides guidance on matching design with context, and offers guidelines on construction. Lead investigator and Professor of Low Carbon Design at the University of Bath, David Coley, said: "In recognition of the immense variability in climatic, environmental and socio-cultural conditions, we aim to develop a variety of shelter designs suited to specific locales and the needs of those people who have been displaced. "I visited Jordan in 2015 year during a rock climbing trip and fell in love with the country and the people. The extreme climates experienced by those living in refugee camps inspired me to propose this project which will truly push the boundaries of my research into low energy building design." Co-investigator and Senior Lecturer in the Anthropology of Development at the University of Bath, Dr Jason Hart, commented: "Over the last 20 years I have worked as an anthropologist with refugees in Jordan and the wider Middle East. "I have witnessed firsthand the daily struggles of displaced people to lead dignified lives in difficult conditions, and decent housing can make an immense difference. "I am therefore excited to collaborate with colleagues from the fields of architecture and civil engineering in a process of shelter design that meaningfully engages the views and aspirations of refugees themselves." Princess Sumaya University of Technology (PSUT) in Amman, Jordan collaborated with Bath in the pilot project and will play an important role as the team move to the next, expanded phase. Professor Abdallah Al-Zoubi, Vice President of PSUT said: "It is an honour for us here at PSUT to collaborate with the prestigious University of Bath in this exciting humanitarian project to help refugees in Jordan, especially the Syrians. "Our involvement in the project represents a tiny bit of the greater efforts Jordan is exerting in hosting the unfortunate children of Syria who are actually facing extreme conditions living in the desert. "We hope that the results and outcomes of the project will ease the suffering of refugees and lead to a dignified stay in Jordan before their final short journey back home." The project, entitled 'Healthy Housing for the Displaced', has received £1.5 million funding from the Engineering and Physical Sciences Research Council (EPSRC).


Arabasi S.,German Jordanian University
European Journal of Physics | Year: 2016

Vertical circular motion is a widely used example to explain non-uniform circular motion in most undergraduate general physics textbooks. However, most of these textbooks do not elaborate on the case when this motion turns into projectile motion under certain conditions. In this paper, we describe thoroughly when a mass attached to a cord, moving in a vertical circular motion, turns into a projectile and its location and velocity when it rejoins the circular orbit. This paper provides an intuitive understanding, supported by basic kinematic equations, to give an interesting elegant connection between circular motion and projectile motion - something lacking in most physics textbooks - and will be very useful to present to an undergraduate class to deepen their understanding of both models of motion. © 2016 IOP Publishing Ltd.


El-Banna M.,German Jordanian University
Computational Intelligence and Neuroscience | Year: 2017

The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated based on minimizing the distance between MTS Receiver Operating Characteristics (ROC) curve and the theoretical optimal point named Modified Mahalanobis Taguchi System (MMTS). To validate the MMTS classification efficacy, it has been benchmarked with Support Vector Machines (SVMs), Naive Bayes (NB), Probabilistic Mahalanobis Taguchi Systems (PTM), Synthetic Minority Oversampling Technique (SMOTE), Adaptive Conformal Transformation (ACT), Kernel Boundary Alignment (KBA), Hidden Naive Bayes (HNB), and other improved Naive Bayes algorithms. MMTS outperforms the benchmarked algorithms especially when the imbalance ratio is greater than 400. A real life case study on manufacturing sector is used to demonstrate the applicability of the proposed model and to compare its performance with Mahalanobis Genetic Algorithm (MGA). © 2017 Mahmoud El-Banna.


Abdallah A.,German Jordanian University
International Journal of Health Care Quality Assurance | Year: 2014

Purpose: Various quality initiatives seem to have successful implementation in some healthcare organizations yet fail in others. This paper sets out to study the literature trying to understand drivers and challenges facing quality initiatives implementation in healthcare organizations then compare findings from literature with those of a structured questionnaire answered by 60 representatives from 18 hospitals. Finally it proposes a framework that mitigates challenges and utilizes drivers to ensure best implementation results. Design/methodology/approach: Literature regarding implementing various quality initiatives in the healthcare sector was reviewed. Representatives from several healthcare organizations were surveyed. Results from both approaches are compared to highlight the key challenges and drivers facing implementers. Findings: This research reveals that internal factors related to leadership and employees greatly affect quality initiative success or failure. Design and relevance play a major role in successful implementation. Practical implications: This research offers healthcare professionals greater success when implementing certain quality initiatives by taking success/failure factors into consideration. A general framework for successful implementation in the healthcare sector is provided. Originality/value: This article uncovers reasons behind success or failure in a comprehensive and practical way. It also explores how most popular quality initiatives are applied in hospitals. © Emerald Group Publishing Limited.


Sari M.S.,German Jordanian University
International Journal of Mechanical Sciences | Year: 2015

The free vibration analysis of non-local annular sector Mindlin plates has been investigated. Mindlin plates at the micro/nano-scale are modeled using Eringen's nonlocal elasticity theory, where the small scale effect is taken into consideration. The governing equations are derived using the nonlocal differential constitutive relations of Eringen. For this purpose, the resulted eigenvalue problem is solved numerically by applying the Chebyshev collocation method. The effects of the inner to outer radius ratio, the thickness to outer radius ratio, the nonlocal scale effect, and the boundary conditions on the natural frequencies have been studied. © 2015 Elsevier Ltd. All rights reserved.


Al-Agtash S.,German Jordanian University
Computers in Industry | Year: 2013

This paper presents a novel architecture of electricity agents in smart grid markets. The architecture implements a middleware that allows standard agent plug-ins representing "smart grid" elements in a two-way power flow. Agent operations are automated to allow demand variations and exploring a wider spectrum of trade opportunities in an efficient manner, while coordinating with the system operator for reliability, security, and stability. We give trade and operation computational models of power grid components and their interaction protocols and authentication in a multi-agent framework. Trade models are both pool and multilateral based. Operation models respect power dispatch limits, generation and transmission constraints, and spinning reserve requirements. The models are coded as part of the agent software. The protocols are KQML (Knowledge Query Manipulation Language) based communication. An IEEE 5-bus grid system is used for illustration. The testing results for different load profiles show better distribution of market sales and a market clearing price convergence very close to the marginal cost of generation supply, thus an implication of economic efficiency of energy resources, as well as security and power quality compared to traditional electricity trade models based on Cournot and Bertrand estimated clearing prices. © 2012 Elsevier B.V.


Ashhab M.S.S.,Hashemite University | Kaylani H.,German Jordanian University | Abdallah A.,German Jordanian University
Energy Conversion and Management | Year: 2013

This research studies the feasibility of PV solar systems and aims at developing the theory and application of a hybrid system that utilizes PV solar system and another supporting source of energy to provide affordable heating and air conditioning. Relevant research topics are reviewed and some of them are discussed in details. Solar heating and air conditioning research and technology exist in many developed countries. To date, the used solar energy has been proved to be inefficient. Solar energy is an abundant source of energy in Jordan and the Middle East; with increasing prices of oil this source is becoming more attractive alternative. A good candidate for the other system is absorption. The overall system is designed such that it utilizes solar energy as a main source. When the solar energy becomes insufficient, electricity or diesel source kicks in. A prototype of the PV solar system that operates an air conditioning unit is built and proper measurements are collected through a data logging system. The measured data are plotted and discussed, and conclusions regarding the system performance are extracted. © 2012 Elsevier Ltd. All rights reserved.


Altarazi S.A.,German Jordanian University
International Journal of Advanced Manufacturing Technology | Year: 2011

In the last two decades, many researchers have addressed the superior system performance resulted from the integration of process planning and scheduling functions. However, most of the published solution methods in this field fall short in three accounts. First, while integrating with scheduling, they ignore the checking of process planning feasibility with respect to tolerances allocation. Thus, operational tolerances may stackup beyond the blue print tolerances making the process plans infeasible. Second, they ignore the machines capabilities during the integration modeling which make these solution models practically inapplicable. Third, they focus on time consideration, such as makespan or lateness, and do not consider manufacturing cost related to operations-machines assignment. This paper presents an innovative model for the integration of process planning and scheduling in a job-shop environment. The model simultaneously serves three purposes: allocating operational tolerances while minimizing its manufacturing cost, minimizing the work in process inventory, and figuring the operation-machine assignments. The preemptive-goal programming method is used to solve the proposed multiobjective non-linear mixed integer model, and an implementation example is presented to demonstrate the effectiveness of the proposed modeling approach. © 2011 Springer-Verlag London Limited.


In the mid-1990s, the Egyptian government embarked on selling large portions of public land to private-sector real estate developers - a major policy shift toward privatization of urban development. To date, the development of more than a hundred privately planned gated residential communities indicates a mass trend in new-town urban development on the outskirts of the Greater Cairo Region (GCR). These private gated residential communities offer a wide range of housing schemes, ranging from middle-class to high-end distinctive, luxurious villas and apartments. In contrast with conventional new-town "master-planning" principles, these large housing developments demonstrate novel design, planning and implementation criteria that reflect market-driven forces rather than standard orthodox public-interest norms. This study attempts to articulate these unconventional factors by investigating the reasons behind gated communities' proliferation from the perspective of developers in the GCR. This paper argues that real estate developers use common grouping factors in their advertising, such as design, planning, and marketing principles, to re-shape people's desires and wants. The paper concludes that advertisements package a place as a commodity, romanticize a lifestyle, and sell it as an attractive place that is free of problems. © 2012 Ain Shams University. Production and hosting by Elsevier B.V. All rights reserved.


Nofal S.,German Jordanian University | Atkinson K.,University of Liverpool | Dunne P.E.,University of Liverpool
Artificial Intelligence | Year: 2014

For DungÊs model of abstract argumentation under preferred semantics, argumentation frameworks may have several distinct preferred extensions: i.e., in informal terms, sets of acceptable arguments. Thus the acceptance problem (for a specific argument) can consider deciding whether an argument is in at least one such extensions (credulously accepted) or in all such extensions (skeptically accepted). We start by presenting a new algorithm that enumerates all preferred extensions. Following this we build algorithms that decide the acceptance problem without requiring explicit enumeration of all extensions. We analyze the performance of our algorithms by comparing these to existing ones, and present experimental evidence that the new algorithms are more efficient with respect to the expected running time. Moreover, we extend our techniques to solve decision problems in a widely studied development of DungÊs model: namely value-based argumentation frameworks (vafs). In this regard, we examine analogous notions to the problem of enumerating preferred extensions and present algorithms that decide subjective, respectively objective, acceptance. © 2013 Elsevier B.V.

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