324 research outputs found

    Assistive Technology Use for Students with Down syndrome at Mainstream Schools in Riyadh, Saudi Arabia: Teachers’ Perspectives

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    In this study, the researcher sought to examine the teachers’ Attitudes on use of assistive technology for Students with Down syndrome in Riyadh, Saudi Arabia. The study undertook literature review and survey in order to answer the research questions that had been formulated. The survey involved 50 teachers who had been selected form teachers teaching students with down syndrome in schools located in Riyadh, Saudi Arabia. The results from the survey and from the literature review indicate that teachers have positive attitudes the use of assistive technology. Teachers felt that assistive technology is a good tool that assists children with Down syndrome in their learning activities and even social activities.  When they use assistive technology, teachers reported that assistive technology was an effective tool in improving literacy among these children. Still, teachers as well reported that there are several barriers towards the use of assistive technology. These barriers include, lack of training or skills, lack of support, lack of enough resources and lack of time.  The teachers felt that there was need to provide more training and to include assistive training in school curriculum. The study concluded that use of assistive technology is supported by teachers and therefore enough support should be given to theme for better outcome in use of assistive technology. Keywords: Assistive technology, Down syndrome (DS) and teachers’ Attitude

    Islamic education elementary teachers’ degree of using e-learning skills in their teaching process, and its relationship with some variables, in Hail Region

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    This study aimed at identifying the Islamic education elementary teachers’ degree of using e-learning skills in their teaching process, and its relationship with some variables in Hail Region. And to achieve the objectives of the study; the researcher had used a questionnaire consisted of (33) statements covering two fields, and it has been applied to a sample of 90 male and female teachers during the first academic semester 2015/2016. The study results showed that the degree of possession of e-learning skills that the teachers of Islamic education have in the elementary stage in their teaching came significantly, and also showed that there are no statically significant differences due to gender and  teaching experience variables, and in the light of the study results the researcher presented a set of recommendations which will hopefully benefit the decision makers of educational policy, curriculum and teachers in schools for the universal use of e-learning in the educational system learning-processes, including the importance of mobilizing schools with capabilities that allows the use of innovative e-learning processing, and holding training courses for all teachers, through which they are updated on the newest techniques in the field of using e-learning.

    A Framework to support aerospace knowledge transfer to developing countries via collaborative projects

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    There are economic, strategic and technological needs for establishing a national aerospace sector in many developing countries. This is to support the growing demands for aerospace related products and to encourage international collaborations. International collaboration projects can cost billions of US dollars, but provide opportunities to access and gain aerospace knowledge in terms of skills, technologies and infrastructure related to the purchased aerospace systems. While there are several options for international technology transfer, there are currently no effective approaches, specifically in aerospace knowledge transfer, for international collaboration projects between developed and developing countries. There is a need for a specific framework to guide developing countries in this task and to overcome different transfer challenges. This paper presents an aerospace knowledge transfer framework (Aero-KT) to effectively manage knowledge transfer into developing countries during international aerospace collaboration projects

    Regeneration of Amman center — social acceptance of Syrian migrants in downtown Amman

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    Several studies discussed attitudes towards migrants; some of the issues pointed out are integration that requires interaction between migrants and the host society. Homogenous social groupings produce stronger communities. As the conflict in Syria entered its fifth year, Jordan hosted about 1.4 million registered Syrians, of whom 646,700 are informal refugees. Eighty-five percent of the refugees live outside camps in some of the poorest areas of Jordan. Consequently, new household’s typologies pressured the supply side. Such non-camp refugees’ migration patterns and housing market conditions formed ethnic homogeneous enclaves in different locations in Amman. Accordingly, non-camp refugees occupied and rented the upper floors of mixed used commercial buildings in downtown Amman. The present study investigated social acceptance of Syrian migrants residing in upper floors of commercial mixed used buildings located in the city center of Amman. The primary purpose of this research is to study how social acceptance of Syrian migrants is influenced by social gating. The hypothesis of the present study states that social acceptance of Syrian migrants in downtown Amman is influenced by sense of merchants’ sense of social gating. The significance of the study stems from that the development of downtown Amman with such rich social context can be informative and useful for strategic planners, local governments, NGO’s, social workers, and psychologists. This paper offers such an opportunity to reflect on an unfolding crisis that is of major social concern with changing urban demographics. The study was conducted using a quantitative and qualitative research strategy; an embedded research design was used. The quantitative method was conducted using a survey with downtown merchants, in addition to supportive qualitative methods of face-to-face interviews. The study was conducted in the central part of Amman, known locally as Wast Al-balad, which is considered the old commercial area that dates back to the second quarter of the twentieth century. Some of these secondary residential units became spaces (enclaves) for migrants that formed ethnic low-income enclaves. In the last five years, low-income Syrian migrants started to rent these units in Amman’s urban center. Outcomes indicated that social cohesion is the strongest motivator for acceptance of outsiders by the local merchants to reside in the upper floors of the commercial buildings of Downtown Amman area

    Modeling Uncertainty in Seismic Stability and Earthquake Induced Displacement of Earth Slopes Under Short Term Conditions

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    Different models were developed for evaluating the probabilistic three-dimensional (3-D) stability analysis of earth slopes and embankments under earthquake loading using both the safety factor and the displacement criteria of slope failure. These models are formulated and incorporated within a computer program (PTDDSSA). The probabilistic models evaluate the probability of failure under seismic loading considering the different sources of uncertainties involved in the problem. A sensitivity analysis was conducted on the different parameters involved in the developed models by applying those models to a well-known landslides (Congress Street) under different levels of seismic hazard. The hypocentral distance and earthquake magnitude were found to have major influence on the earthquake induced displacement, probability of failure (i.e. probability of allowable displacement exceedance), and dynamic 2-D and 3-D safety factors

    Comparison Between Finite Element Predictions and Results from Dynamic Centrifuge Tests on Tilting Gravity Wall Retaining Dry Sand

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    An analytical model is developed to analyze the seismic response of gravity walls retaining and founded on dry sand, with special emphasis on tilting behavior. A well verified two-dimensional finite element code is used for this purpose. The analytical model is verified comparing predictions to results from three dynamic centrifuge tests, with satisfactory agreement. Moreover, sensitivity analyses are carried out for one of the centrifuge test conditions to understand how the results would change if the boundary conditions and rotational stiffness of the wall were changed

    Cyber-Physical Defense in Smart Distribution Networks

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    The existing electric grid is transitioning to a smart grid with increased penetration of distributed energy resources (DERs), such as photovoltaic (PV) units, battery storage units, electric vehicles (EV), and EV chargers. DERs facilitate the increase in renewable energy generation, which leads to a more sustainable, efficient, and reliable grid paradigm. However, with the rise of communication exchanges and data flow due to DERs, cybersecurity vulnerabilities arise. Much of the literature has focused strictly on mitigating data attacks resulting in non-technical losses, false state estimation, and inaccurate load forecasting. However, the grid paradigm's cyber-physical security also needs to be taken into account to ensure that no grid operations take place that impact the physics of the system. Our project achieved that by developing a Machine Learning (ML) algorithm that will detect anomalies in the commands issued to the distribution network's assets. The algorithm was trained using data from a base case obtained from the simulation of the IEEE 34 distribution network. It was tested and improved by adding modifications to the base case. We successfully developed a local anomaly detection algorithm for a photovoltaic system and two voltage regulators, achieving F1-scores of 0.5141, 0.8173, and 0.8982, respectively. All three algorithms achieved low values of false negatives, which is promising as false negatives have a much higher cost since missing one anomaly can result in disastrous effects on the entire grid

    THE FORMULATION OF A BUILDING THERMAL DESIGN OPTIMIZATION MODEL

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    Building design is a decision making process where decisions are made on the selection of certain design variables in order to achieve certain objectives (i.e. economy, thermal comfort, visual comfort, aesthetics, etc.). Information on the relationships between the variables and the desired objectives are necessary for proper decision making. Architects have traditionally reached their design decisions based on past experience. However, total reliance upon individual experience may lead to incomplete and inaccurate results. Therefore, given today's complexities in building design as well as advances in computer technology, systematic approaches can be used as an aid to, not a replacement for, building designers in the decision making process. The aim of this paper is to describe the formulation of an optimization model for the thermal design of building envelopes. This requires defining building design variables, a criterion of optimality, constraints, and a suitable thermal simulation model that can be integrated into the proper optimization technique
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