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Design of Precision RSSI Circuit for Wireless Power Transfer Receivers
No full textA Master of Science thesis in Electrical Engineering by Fatma Suhail Abdulwahid Abdulrahman Alawar entitled, “Design of Precision RSSI Circuit for Wireless Power Transfer Receivers”, submitted in January 2023. Thesis advisor is Dr. Lutfi Albasha and thesis co-advisor is Dr. Hasan Mir. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Tracking systems for wireless power transfer (WPT) systems are becoming a necessity. WPT is a modern way of wirelessly charging devices using RF beams. The target signals are sometimes too weak to be received, which is why it is critical to have a dedicated received signal strength indicator (RSSI) at the receiver side for signal detection. It can also be used for transmitter localization and automatic gain control (AGC) to ensure continuous coverage. In this thesis, an RSSI coupled with a high-speed full-wave rectifier is designed to operate at 5.8 GHz. A sensitivity level of 10 uV, logarithmic error of 0.4 dB, and dynamic range of 34 dB are achieved by the proposed system. The proposed RSSI system is designed for a moving wireless power transfer receiver using TSMC 65 nm CMOS technology, and it is aimed at WPT systems that require high sensitivity.College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE
Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
No full textA Master of Science thesis in Mechatronics Engineering by Ishaq Hafez entitled, “Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization”, submitted in April 2023. Thesis advisor is Dr. Rached Dhaouadi. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).This thesis proposes a hybrid optimization method called Hybrid Particle Swarm Optimization with Quasi-Newton (HPSO-QN) for accurately identifying the mechanical parameters of a two-mass model (2MM) system commonly used in high-performance electric drive systems with elastic joints. Accurate identification of mechanical parameters, such as motor and load inertias, shaft stiffness, and friction disturbance coefficients, is essential for achieving optimal control performance. The HPSO-QN method integrates the Quasi-Newton’s (QN) local exploitation capabilities with Particle Swarm Optimization’s (PSO) global exploration capabilities to achieve accurate parameter identification. The frequency response of the system was obtained by employing several excitation signals and analyzed using the Frequency Response Function (FRF) analysis method to estimate the resonant frequencies. The FRF and time-response analysis were then utilized to extract the benchmark parameters that served as a reference for the system parameters identification using PSO methods. The experimental results from a 2MM system validated the performance of the proposed optimization method, which demonstrated superior accuracy and efficiency compared to standard PSO algorithms. The optimization method effectively identified the mechanical parameters of the 2MM system, with potential implications for improving the modeling of the 2MM, leading to better performance and stability. The proposed method builds on previous work in the field, including the use of stochastic algorithms, FRF, and time-response analysis methods for parameter identification. The HPSO-QN method demonstrates improved accuracy and performance and can be extended to other systems with flexible shafts and couplings. This thesis contributes to the development of more accurate and effective parameter identification methods for complex systems, highlighting the importance of accurate parameter estimation for optimal control performance and stability.College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR
Classical and Modified Fractional Differential Transform Methods: Applications to Health-related Problems, including covid-19 and Bromsulfthalein (BSP) Studies
No full textA Master of Science thesis in Mathematics by Abrar Ansar entitled, “Classical and Modified Fractional Differential Transform Methods: Applications to Health-related Problems, including covid-19 and Bromsulfthalein (BSP) Studies”, submitted in November 2023. Thesis advisor is Dr. Marwan Abukhaled. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).The present thesis employs the Fractional Differential Transform Method (FDTM) to address two health-related problems. The FDTM was initially applied to the linear fractional human liver model, resulting in a semi-analytic approximate solution. Secondly, it was successively applied to a non-linear fractional COVID-19 model over a prolonged time span with the goal of observing the convergence of the approximate solution. In both applications, the results obtained by the FDTM demonstrated a high level of precision when compared to the fourth order Runge-Kutta (RK4) method for the integer order α = 1. Furthermore, we analyzed the effects of the FDTM solution on various fractional values of α and found that the hereditary properties of fractional differential equations are preserved. In addition, this thesis discusses some important properties of the solution for both models.College of Arts and SciencesDepartment of Mathematics and StatisticsMaster of Science in Mathematics (MSMTH
Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning
No full textA Master of Science thesis in Computer Engineering by Yara Kaddoura entitled, “Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning”, submitted in January 2023. Thesis advisors are Dr. Khaled El-Fakih and Dr. Imran Zualkernan. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Computer Science and EngineeringMaster of Science in Computer Engineering (MSCoE
المجلة :ثقافة - ادب - ترجمة
No full textCollege of Arts and SciencesDepartment of Arabic and Translation Studie
Sustainability-oriented innovation in the supply chain of the cosmetics industry
No full textA Master of Science thesis in Engineering Systems Management by Faten Ahmad Jomaa entitled, “Sustainability-oriented innovation in the supply chain of the cosmetics industry”, submitted in April 2023. Thesis advisor is Dr. Abdulrahim Shamayleh. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).The cosmetic industry has continued its strong growth and emerged as one of the industries with the highest prospective for further growth and development. Social media and new trends, the availability of sustainable and chemical-free products, and recent technological advancements and innovations have led to an increase in the demand for cosmetic products. This increase has put pressure on the cosmetics industry’s supply chain and created challenges due to its complex nature. Cosmetics companies are focusing and working on putting sustainable practices into their supply chains to minimize costs, reduce waste, and operate efficiently. Sustainability-oriented innovation (SOI) is the introduction or development of new or existing products, processes, and practices of an organization to achieve sustainability. Few studies exist tackling sustainable supply chain and innovation in the cosmetics industry. Also, there hasn’t been any evidence of research that addresses SOI in the supply chain of the cosmetics industry. This research fills the gap by proposing a SOI framework covering cosmetics industry’s supply chains. The main aim of this research is to develop a framework and identify and rank the criteria for achieving sustainability-oriented innovation (SOI) in the supply chain of the cosmetics industry. This work relied on collecting data from an extensive literature review, interviewing supply chain experts and managers, and conducting surveys to achieve the aim of this study. The main criteria and sub-criteria of the proposed framework were evaluated and ranked using multi-criteria decision-making (MCDM) methods to indicate their relative importance. Research results reveal that “Sustainable practices and initiatives”, “Joint effort, coordination, and commitment among supply chain partners” and “Top management support and commitment” are the top three most important criteria for achieving SOI in the supply chain of the cosmetics industry. Moreover, this research proposes a framework that acts as a guide for experts and managers in the supply chain of the cosmetics industry to assess their strategies and practices for achieving sustainable supply chains. Also, the framework establishes a path for future research on SOI within the cosmetics industry and its supply chains.College of EngineeringDepartment of Industrial EngineeringMaster of Science in Engineering Systems Management (MSESM
Computational Modelling of Biomass Gasification for Hydrogen Production in a Large Circulating Fluidized Bed Reactor
No full textA Master of Science thesis in Chemical Engineering by Feras Kordi entitled, “Computational Modelling of Biomass Gasification for Hydrogen Production in a Large Circulating Fluidized Bed Reactor”, submitted in May 2023. Thesis advisor is Dr. Yassir Makkawi. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).The worldwide date palm waste production is estimated to be around 1.8-4.2 million tons per year, out of this 70%−90% is produced in the Middle East and North Africa. Approximately, only 10% of this waste is recycled, while the rest is sent to landfills. In contribution to the development of bioenergy technology and reducing the negative impact associated with landfill disposal, this study presents a computational model and predictions of date palm waste steam gasification in a large-scale Circulating Fluidized Bed (CFB) (475,000 tons/year), with the capability of in-situ CO₂ capture by using calcium oxide as a sorbent material. The pyrolysis was implemented using a single-step devolatilization reaction with the kinetics derived experimentally using TGA data. The gasification reactions and kinetics implemented were obtained from the open literature. The base case results suggest that date palm waste steam gasification is of high potential to produce hydrogen-rich gas (up to 46.4 mol% H₂) of high calorific value (HHV > 21.62 MJ/m³) and low tar content (<22.6 g/Nm³). The quality of the product gas was found to be greatly enhanced by thermal cracking of tar, homogeneous methane steam reforming, and water-gas shift reactions. The calcium oxide sorption, implemented in the model as a first-order reaction with a rate constant defined by an Arrhenius law, has been found to be highly effective in carbon dioxide capture, reaching nearly 90-95 % elimination of CO₂ at the optimized operating condition. The proposed process is expected to play a major role in energy diversity in the Gulf and MENA regions as well as in minimizing waste going into landfills.College of EngineeringDepartment of Chemical EngineeringMaster of Science in Chemical Engineering (MSChE
Sustainability Evaluation of 3D Concrete Printing in the U.A.E. Construction Projects
No full textA Master of Science thesis in Construction Management by Mohammad Hindieh entitled, “Sustainability Evaluation of 3D Concrete Printing in the U.A.E. Construction Projects”, submitted in November 2023. Thesis advisor is Dr. Adil Kahwash Al-Tamimi and thesis co-advisor id Dr. Ghanim Kashwani. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).3D printing has revolutionized various industries and is gaining prominence in construction for its potential to enhance sustainability. The United Arab Emirates (UAE) has embraced 3D Concrete Printing (3DCP) in residential and commercial sectors to align with their sustainability goals. However, due to the diverse array of 3DCP technologies and the materials employed in the field, a critical gap exists in the aspect of conducting a comprehensive evaluation of their sustainability. Therefore, the study aims to address the gap by examining the economic, environmental, and social aspects of 3DCP technologies that can be adopted in the UAE industry. The research employs both qualitative and quantitative approaches, in which interviews, sustainability rating systems such as Leadership in Energy and Environmental Design (LEED) and Building Research Establishment Environmental Assessment Method (BREEAM), and literature reviews are conducted to obtain 3D Concrete Printing parameters and identify the Key Performance Indicators (KPIs). A quantitative approach includes a survey that uses pairwise comparison and the Delphi approach, along with the Analytic Hierarchy Process method (AHP), for the purpose of assessing and weighing the KPIs and ultimately determining the most sustainable 3DCP technology. The study's outcome aims to guide the UAE government and construction practitioners to identify the most suitable 3DCP technology. As a result, the environmental pillar of 3DCP technologies turned out to be the top priority to be considered when selecting the technology for the UAE’s construction projects, with the highest weight of 0.53 among the other pillars. Consequently, BOD 2 (COBOD) has been identified as the most sustainable printer in comparison with the other technologies due to its distinctive features that are suitable for the UAE market and contribute to its overall performance in the environmental, economic, and social sustainability realms. The study helps foster better sustainable practices in the construction industry, contributing to the UAE's sustainability objectives.College of Arts and SciencesMultidisciplinary ProgramsMaster of Science in Construction Management (MSCM
Design and Implementation of a Microwave Imaging System for Biomedical Application
No full textA Master of Science thesis in Electrical Engineering by Omar Zaatar entitled, “Design and Implementation of a Microwave Imaging System for Biomedical Application”, submitted in June 2023. Thesis advisor is Dr. Amer Zakaria and thesis co-advisor is Dr. Nasser Qaddoumi. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Microwave imaging for biomedical applications is a promising modality due to its numerous advantages. One of its medical applications is estimating bone density for monitoring osteoporosis. In this thesis, a novel wearable tomographic Microwave Imaging (MWI) system is designed and implemented to estimate the bones' electrical properties and thus their health, by imaging the lower limb bone of the human. The main two hardware components of the system are a microwave switch and an array of antennas, both operating at a center frequency of 1 GHz. In the designed system, a 2-by-32 microwave switch matrix is designed and implemented using a combination of Single-Pole Double-Throw (SPDT), Single-Pole Four-Throw (SP4T), and Single-Pole Eight-Throw (SP8T) switches. The switch matrix connects a two-port vector network analyzer (VNA) to an array of thirty-two antennas. Further, the proposed design enables a given antenna in the system to be used simultaneously as a transmitter or receiver. Moreover, a controller unit with a predefined logic is devised to handle the operation of the switches. Further, an antenna array is designed, simulated, and implemented. The type of the array’s antenna elements is chosen based on its size, operating frequency, and impedance matching. In this thesis, the selected antenna element is a meander-line patch antenna. After implementing the switch and array, the overall microwave imaging system is controlled using a computer workstation, where data is calibrated and processed to solve an inverse scattering problem. The scattering problem is cast into an optimization problem whose inputs are the calibrated collected data, and outputs are colormaps representing the electrical properties of imaged objects.College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE
Environmental Management Systems in Public Sector
No full textThis chapter focuses on environmental management systems (EMS) in public sector organisations (PSOs). Our objectives are to 1) explain what is an EMS, describe the two main EMS standards (ISO 14001 and EMAS) and how to implement them in PSOs, 2) present the benefits of EMS adoption in PSOs, and 3) present the key factors of successful EMS implementation in PSOs. The major benefits of EMS implementation in PSOs are improved environmental management practices, environmental awareness and image, organizational cost-efficiency, and environmental performance. The major key success factors are management's support, employees' and managers' awareness, competence and involvement, adoption of a collaborative management approach, allocation of sufficient organizational resources, and stakeholder involvement. We conclude by identifying interesting avenues for future research. This chapter will assist EMS scholars and practitioners in better understanding the specific issues related to EMS implementation in PSOs