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Sharjah, United Arab Emirates

American University of Sharjah in the United Arab Emirates is a non-profit, co-educational institution of higher education.It was founded in 1997 by Sheikh Dr. Sultan Bin Mohammad Al Qassimi Sultan bin Mohamed Al-Qasimi, Supreme Council Member and Ruler of Sharjah. Sheikh Sultan envisaged the university as a leading educational institution in the Persian Gulf region. Located in University City in Sharjah, American University of Sharjah is a not-for-profit, independent, institution of higher education formed on the American higher education model. It is a very diverse university that brings together more than 5,000 students from more than 82 countries and a full-time faculty of more than 350.AUS offers 26 majors and 54 minors at undergraduate level and 14 masters' degrees through the College of Architecture, Art and Design, the College of Arts and science, the College of Engineering, and the School of Business and Management.The university is licensed by the Commission for Academic Accreditation of the Ministry of Higher Education and Scientific Research Ministry of Higher Education and Scientific Research in the United Arab Emirates, which recognizes all undergraduate and graduate programs. American University of Sharjah is accredited in the United States of America by the Commission on Higher Education of the Middle States Association of Colleges and Schools and by the Department of Education of the State of Delaware.The bachelor of science degree programs in chemical engineering, civil engineering, computer engineering, electrical engineering and mechanical engineering offered by the College of Engineering are accredited by the Engineering Accreditation Commission of ABET. The bachelor of science degree program in computer science offered by the College of Engineering is accredited by the Computing Accreditation Commission of ABET. The Bachelor of Architecture program of the College of Architecture, Art and Design is accredited by the National Architectural Accrediting Board of the United States. The Bachelor of Science in Business Administration as well as the Master of Business Administration and Executive Master of Business Administration degrees offered by the School of Business and Management are accredited by the AACSB . Wikipedia.

Abdel-Hafez M.F.,American University of Sharjah
IEEE Transactions on Vehicular Technology | Year: 2010

In this paper, the autocovariance least-squares (ALS) technique is proposed to estimate the Global Positioning System (GPS) pseudorange measurement noise-covariance matrix. The large GPS measurement noise magnitude can be attributed to signal interference, jamming, or other factors, such as signal multipath. The proposed method makes use of the dynamics of the system measured by an inertial measurement unit (IMU) and the propagated residual of a GPS/IMU estimation filter to form a bank of statistics used to estimate the GPS measurement noise covariance. The method is used along an ultratightly coupled GPS/IMU filter to first estimate the measurement noise covariance matrix and then use this covariance matrix to obtain a high-accuracy and high-integrity state estimate. Simulated scenarios of different levels of noise magnitude are applied, and the proposed method is used to estimate the GPS pseudorange noise-covariance matrix. © 2010 IEEE. Source

Shanableh T.,American University of Sharjah
IEEE Transactions on Information Forensics and Security | Year: 2012

This paper proposes two data hiding approaches using compressed MPEG video. The first approach hides message bits by modulating the quantization scale of a constant bitrate video. A payload of one message bit per macroblock is achieved. A second order multivariate regression is used to find an association between macroblock-level feature variables and the values of a hidden message bit. The regression model is then used by the decoder to predict the values of the hidden message bits with very high prediction accuracy. The second approach uses the flexible macroblock ordering feature of H.264/AVC to hide message bits. Macroblocks are assigned to arbitrary slice groups according to the content of the message bits to be hidden. A maximum payload of three message bits per macroblock is achieved. The proposed solutions are analyzed in terms of message extraction accuracy, message payload, excessive bitrate and quality distortion. Comparisons with previous work reveal that the proposed solutions are superior in terms of message payload while causing less distortion and compression overhead. © 2006 IEEE. Source

Aveyard M.E.,American University of Sharjah
PLoS ONE | Year: 2014

Two experiments with Middle Eastern participants explored the generalizability of prior research on religious priming and moral behavior to a novel cultural and religious context. Participants in Experiment 1 completed a sentence unscrambling task with religious or non-religious content (in Arabic) before taking an unsupervised math test on which cheating was possible and incentivized. No difference in honesty rates emerged between the two groups, failing to extend findings from previous research with similar stimuli. Experiment 2 tested the effects of the athan, the Islamic call to prayer, using the same design. This naturalistic religious prime produced higher rates of honesty (68%) compared to controls who did not hear the call to prayer (53%).These results raise the possibility that the psychological mechanisms used by religion to influence moral behavior might differ between religions and cultures, highlighting an avenue of exploration for future research. The experiments here also address two growing concerns in psychological science: that the absence of replications casts doubt on the reliability of original research findings, and that the Westernized state of psychological science casts doubt on the generalizability of such work. © 2014 Mark E. Aveyard. Source

Hawileh R.A.,American University of Sharjah
Construction and Building Materials | Year: 2012

The introduction of Near Surface Mounted (NSM) strengthening technique to retrofit reinforced concrete (RC) members in flexure using Carbon Fiber-Reinforced Polymer (CFRP) rods is becoming more attractive to both researchers and designers in recent years. Although NSM strengthening systems has been used extensively, still further experimental, analytical, and numerical research is warranted to understand the effect of the several strengthening parameters on the flexural performance of RC members. This paper presents the development of a detailed 3D nonlinear finite element (FE) numerical model that can accurately predict the load-carrying capacity and response of RC beams strengthened with NSM FRP rods subjected to four-point bending loading. The developed FE model considers the nonlinear constitutive material properties of concrete, yielding of steel reinforcement, cracking of the filler bonding materials, bond slip of the steel and NSM reinforcements with the adjacent concrete surfaces, and bond at the interface between the filling materials and concrete. The numerical FE simulations were compared with experimental measurement tested by other investigators comprising of seven specimen strengthened with NSM CFRP rods in addition to one un-strengthened control specimen. Overall, the predicted FE mid-span deflection responses agreed very well with the corresponding measured experimental tested data at all stages of flexural loading. Furthermore, the developed models were also capable of predicting the failure mode of the strengthened tested specimen such as NSM rod debonding (peeling off) and concrete cover separation. The validated FE models are then used to study the effect of different NSM material bar types and sizes to provide further information over the limited available experimental data. It is concluded that the developed FE model is suitable as a practical and economical tool especially in design-oriented parametric studies for accurate modeling and analysis of flexural strengthening of RC members with NSM reinforcement. © 2011 Elsevier Ltd. All rights reserved. Source

Abdel-Hafez M.F.,American University of Sharjah
IEEE Transactions on Control Systems Technology | Year: 2014

A sequential and multihypothesis probability ratio test is proposed for detecting and identifying a bias fault in GPS pseudorange measurements. Initially, a measurement residual variable that is only a function of the measurement noise and the possible bias fault is constructed. The probability of this residual given a certain bias hypothesis is then obtained. Subsequently, an error variable is constructed for each hypothesis based on the ratio of the probability of that hypothesis to the probability of a base hypothesis. The propagation of the error variables with time is monitored for all hypotheses. If a hypothesis is associated with the true bias on the satellite measurement, then the corresponding error variable will remain around zero in mean. Otherwise, in case of a wrong hypothesis, the associated error variable will diverge away from zero. Error bounds for declaring false hypotheses are formulated in this brief. The advantage of the proposed method is that false hypotheses are continuously removed from the hypothesis set when their error variables exceed the error bound. Therefore, the size of the hypothesis set will reduce with time, ending up with only the correct bias hypothesis. This will result in a monotonic reduction in the computational time of the method. Finally, an ultratightly coupled filter structure is used to test the performance of the proposed method and the obtained results will be presented. © 2014 IEEE. Source

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