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ARAbesque
No full text"The Department of Arabic and Translation studies is proud to introduce the first issue of its newsletter, Arabesque, which is meant to cover relevant news about its faculty. courses. scholarship activities and much more. Being the custodian of Arabic and Islamic Heritage, ATS strives to strike a balance between providing quality education and creating an enjoyable learning experience for our students who belong to all academic disciplines in AUS. The newsletter also aims to provide correct information regarding our course offerings and the minors hosted by the department. As there is always a room for creativity and originality, Arabesque welcomes all contributions for publication from AUS students. faculty and staff members to enrich the future issues. I would like to thank all the current contributors as well as the Newsletter Editor and Designer of the newsletter for their tremendous efforts. and I wish you all a productive and fruitful year.College of Arts and SciencesDepartment of Arabic and Translation Studie
INScription: Department of International Studies (INS) Issue #4 (January 27, 2022, Issue 4)
No full textCollege of Arts and SciencesDepartment of International Studie
Identifying Friction in a Nonlinear Chaotic System Using a Universal Adaptive Stabilizer
No full textThis paper proposes a friction model parameter identification routine that can work with highly nonlinear and chaotic systems. The chosen system for this study is a passively-actuated tilted Furuta pendulum, which is known to have a highly nonlinear and coupled model. The pendulum is tilted to ensure the existence of a stable equilibrium configuration for all its degrees of freedom, and the link weights are the only external forces applied to the system. A nonlinear analytical model of the pendulum is derived, and a continuous friction model considering static friction, dynamic friction, viscous friction, and the stribeck effect is selected from the literature. A high-gain Universal Adaptive Stabilizer (UAS) observer is designed to identify friction model parameters using joint angle measurements. The methodology is tested in simulation and validated on an experimental setup. Despite the high nonlinearity of the system, the methodology is proven to converge to the exact parameter values, in simulation, and to yield qualitative parameter magnitudes in experiments where the goodness of fit was around 85% on average. The discrepancy between the simulation and the experimental results is attributed to the limitations of the friction model. The main advantage of the proposed method is the significant reduction in computational needs and the time required relative to conventional optimization-based identification routines. The proposed approach yielded more than 99% reduction in the estimation time while being considerably more accurate than the optimization approach in every test performed. One more advantage is that the approach can be easily adapted to fit other models to experimental data.American University of Sharja
Assessment of Diabetes and its Risk Factors Knowledge in AUS students
No full textA Master of Science thesis in Biomedical Engineering by Hadia Hannan entitled, “Assessment of Diabetes and its Risk Factors Knowledge in AUS students”, submitted in December 2022. Thesis advisor is Dr. Abdulrahim Shamayleh and thesis co-advisor is Dr. Hussam Alshraideh. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).The prevalence of diabetes has been rising globally at an alarming rate. In addition to the prominent role of genetic factors, global changes in people's living standards over the last few years, including sedentary lifestyles, widespread adoption of westernized diet, and fast-food popularity across the regions, have led to an increase in diabetes incidence. This study aims to determine the diabetes prevalence, diabetes knowledge and its risk factors among AUS students. Such an insight will help to understand the health status of the youth in the region. Blood sugar level of participants was obtained using random blood glucose test. AusDiab questionnaire was used to assess students’ knowledge of diabetes, its risk factors and lifestyle habits. Moreover, a systematic literature review on the previous surveys and research on the prevalence of diabetes and health knowledge in the region was studied and compared. There is clearly a dearth of clinical research on diabetes among the university population. This is the first paper to comprehensively analyze health related aspects and relate it to diabetes in the U.A.E. The prevalence of diabetes and prediabetes was found to be 2.37% and 1.48% respectively. There is a significant knowledge gap of diabetes among students. Around 92% of the participants stated that they did not attend any diabetes information seminar. Approximately 75% of the diabetic participants had insufficient knowledge of food and nutrition. Food practice and nutrition knowledge was poor in this population. Around 46% of the participants were in the sedentary category. Even though many students are covered by health insurance, they have poor utilization of health services. Results displayed a lower mean locus of control, indicating internal locus of control for the participants. Approximately 49% of participants are at an increased risk or high risk of acquiring diabetes in their lifetime based on their high BMI and waist circumference. These health challenges can have a significant impact on their social and academic life, as well as the welfare of society in general. Recommendations for better diabetes and health management are provided that will help healthcare professionals, government, and scholars involved in the UAE context.College of EngineeringMultidisciplinary ProgramsMaster of Science in Biomedical Engineering (MSBME
Design and Testing of LCC-Compensated Dynamic Wireless Electric Vehicle Charging System
No full textA Master of Science thesis in Electrical Engineering by Mustafa Faeq Abdulhameed entitled, “Design and Testing of LCC-Compensated Dynamic Wireless Electric Vehicle Charging System”, submitted in April 2022. Thesis advisor is Dr. Ahmed Osman and thesis co-advisor is Dr. Mohamed Hassan. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Electric vehicles (EV) are witnessing a growth in the vehicle’s markets. One main reason to this growth is that they serve as a new form of clean transportation. This increasing number needs a sufficient number of charging stations. Dynamic Wireless Power Transfer (DWPT) is offering a suitable solution to mitigate this problem by charging EVs wirelessly during their motion, which can compensate for energy consumption and reduce the size of the EV battery pack. Nevertheless, DWPT has different challenges such as the continuous fluctuation of the coupling coefficients, the output power pulsation in addition to the variation of the received energy with EV travelling velocities. To overcome the aforementioned problems, this thesis develops an LCC-compensated, multi-secondary coil structure with primary/secondary current and power control strategies to control and maximize the output power with ± 200 mm Lateral Misalignment (LTMA) while achieving Zero Phase Angle (ZPA) at the single resonance frequency of the system. A DD-DDQ inductive link is adopted in this thesis due to its significant performance in DWPT, offering high misalignment tolerance in addition to overcoming the problem of the power null point. Using the proposed compensation and tuning methods, the power transfer efficiency of the DD-DDQ system at higher misalignment is improved. This is further verified by implementing a down-scaled experimental prototype with manual inverter control to replicate the simulated control strategy that improves the misalignment tolerance, particularly at ±200 mm lateral misalignment.College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE
Role of Pipe Material and Aging on the Leaching of Microplastics in the Water Distribution Network
No full textA Master of Science thesis in Civil Engineering by Shumayal Nassar entitled, “Role of Pipe Material and Aging on the Leaching of Microplastics in the Water Distribution Network”, submitted in December 2022. Thesis advisor is Dr. Maruf Mortula. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Civil EngineeringMaster of Science in Civil Engineering (MSCE
Design and Implementation of a Cable Robot for Rehabilitation
No full textA Master of Science thesis in Mechatronics Engineering by Mohammad Latifi entitled, “Design and Implementation of a Cable Robot for Rehabilitation”, submitted in December 2022. Thesis advisor is Dr. Lotfi Romdhane and thesis co-advisor is Dr. Mohammad Jaradat. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Due to the precision and repeatability that current robotic system offer; many researchers and innovators have proposed solution for biomedical needs and applications. Classical robots can offer great precision and offer a high payload-to-weight mechanism to handle different biomedical tasks. Nonetheless, the classical robots might act poorly where the adaptability and flexibility of the system is challenged. One way of tackling these issues is to use Cable-Driven Parallel Robot (CDPR) to address all the issues raised by the performance measures mentioned earlier. Due to the flexible links used in CDPR, the control of the system becomes a challenging problem and many researchers have developed different solutions to overcome many modeling problems, including unilateral condition, where links of the robot will be actuated only upon pulling an object. Under the studies that have been done for this thesis work, a CDPR robot has been prototyped with a control joint scheme, where the motion of the robot has been set through Geometric Inverse Kinematic (GIK), and the motors are controlled through PID control that receives feedback from each motor encoder. Later in this study, the performance of the system has been studied under 11 different cases under different trajectory conditions. It has been shown that the best steady state is achieved when the robot has the smallest acceleration or deceleration among the via points, which gives the Integral Square Error (ISE) value of 25.3. The transient response, however, has the best performance when a lower number of via points has been selected for a given path, which gives the Integrated Time Absolute Error (ITAE) of 706.2. The system performs the trajectory planning in absence of high-level control or encountering errors introduced by model measurement inaccuracies.College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR
Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities
No full textA Master of Science thesis in Computer Engineering by Jayroop Ramesh entitled, “Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities”, submitted in August 2022. Thesis advisor is Dr. Assim Sagahyroon and thesis co-advisor is Dr. Fadi Aloul. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Sleep apnoea (SA) is a chronic sleep related breathing disorder characterized by partial or complete airway obstruction, known as Obstructive Sleep Apnoea (OSA), or when the brain does not communicate the proper signals to the muscles responsible for breathing, known as Central Sleep Apnoea (CSA) in sleep leading to pauses in breathing. The consequences of SA in patients range from conditions such as excessive daytime sleepiness, insomnia and poor mental health to severe co-morbidities such as coronary heart disease, strokes, and diabetes. The clinically recommended treatments for mitigating OSA are continuous positive airway pressure, weight management and stress reduction. The gold standard method of diagnosis is the polysomnography test (PSG) performed in a sleep laboratory and estimates the severity of the condition by assessing the respective oximetry, snoring, body movements, oronasal airflow, electrocardiogram, electroencephalogram, electro-oculogram and electromyogram measurements. Interestingly, these physiological measures reveal additional information regarding the progression of other relevant conditions such as mental health disorders and cardiovascular complications. The expensive, time consuming and labour-intensive nature of PSG, and the lack of regular monitoring in patients' daily lives with existing solutions motivates the development of clinical support for enhanced prognosis. The goal of this thesis is to provide a comprehensive study for classification of two types of SA, OSA and CSA, by leveraging predictor variables easily acquired by wearable devices or electronic health records. More specifically, we assess the interplay between SA and multiple potential influencers such as depression, anxiety, cardiac activity, sleep habits, sleep physiology, physical measurements with machine learning, deep learning, and statistical methods. The performance measures of the various constructed algorithms for classifying SA are reported using standard evaluation metrics. Furthermore, post-hoc feature importance analysis is used for model decision interpretation with Shapley values, and calibration is conducted to align model prediction probability with relative frequency of the disease in the dataset. Finally, we implement a model on an FPGA for sleep staging in a sleep-disordered population.College of EngineeringDepartment of Computer Science and EngineeringMaster of Science in Computer Engineering (MSCoE
Tests of gluino-driven radiative breaking of the electroweak symmetry at the LHC
No full textThe recent muon g − 2 result from Fermilab combined with the Brookhaven result, strongly points to new physics beyond the Standard Model which can be well described by the electroweak sector of supersymmetry if the masses of the sleptons and some of the electroweak gauginos are in the few hundred GeV range. However, the Higgs boson mass measurement at 125 GeV indicates a mass scale for squarks which lies in the few TeV region indicating a split mass spectrum between squarks and sleptons. This apparent puzzle is resolved in a natural way in gluino-driven radiative breaking of the electroweak symmetry where radiative breaking is driven by a large gluino mass and the gluino color interactions lead to a large splitting between the squarks and the sleptons. We show that an analysis without prejudice using an artificial neural network also leads to the gluino-driven radiative breaking. We use a set of benchmarks and a deep neural network analysis to test the model for the discovery of light sleptons and sneutrinos at HL-LHC and HE-LHC.Federal Ministry of Education and Research (BMBF)National Science Foundatio
Exogenous Contrast Agents in Photoacoustic Imaging: An In Vivo Review for Tumor Imaging
No full textThe field of cancer theranostics has grown rapidly in the past decade and innovative ‘biosmart’ theranostic materials are being synthesized and studied to combat the fast growth of cancer metastases. While current state-of-the-art oncology imaging techniques have decreased mortality rates, patients still face a diminished quality of life due to treatment. Therefore, improved diagnostics are needed to define in vivo tumor growths on a molecular level to achieve image-guided therapies and tailored dosage needs. This review summarizes in vivo studies that utilize contrast agents within the field of photoacoustic imaging—a relatively new imaging modality—for tumor detection, with a special focus on imaging and transducer parameters. This paper also details the different types of contrast agents used in this novel diagnostic field, i.e., organic-based, metal/inorganic-based, and dye-based contrast agents. We conclude this review by discussing the challenges and future direction of photoacoustic imaging.American University of Sharja