Engineering Commons^™

Modeling Of Quad-Station Module Cluster Tools Using Petri Nets, Aung Nay

Theses

The semiconductor industry is highly competitive, and with the recent chip shortage, the throughput of wafers has become more important than ever. One of the tools that the industry has deployed is to use of quad-station modules instead of the traditional single-station modules that allow for higher throughput and better wafer consistency by processing multiple wafers at the same time and distributing work. The industry trend is to use multiple transfer chamber robots to stack the quad-station modules in a series, particularly for etch products. In this work, the quad-station cluster tool wafer movement is modeled by using Petri net …

Recycling Of Cured Carbon Fiber/Epoxy Resin Laminated Composites Scraps: Processing And Characterization, Khaled Mohammed Al Harmoodi

Theses

The concept of reinforced composites came decades ago from the need to fabricate high-strength, heat-resistant, wear-resistant, and low-density materials. The polymer matrix composites offer a wide range of applications due to the collaborative nature of the functional fillers and polymers present. Towards the twenty-first century, the aviation industry flourished due to flying being the preferred way of travel across states and countries. With such a massive demand for air transport, there is an equally parallel demand for the production of aircraft components. This study aims to reuse the waste of uncured composite prepreg scraps from the ply-cutting manufacturing process in …

The Design Of A Point Of Care Fet Biosensor To Detect And Screen Covid-19, Nisreen Amer Mohammad Alnaji

Theses

This work proposes and demonstrates a biosensor with reduced Graphene Oxide (rGO) based Field Effect Transistor (FET) for rapid and selective detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The main objective of this thesis is to detect the SARS-CoV-2 spike protein antigen on spot selectively and rapidly. The rGO channel is coated with the spike protein antibodies to achieve selectivity. Moreover, the biosensing performance and specificity are governed by decorating the sensor’s channel with Metal Nanoparticles (MNPs) such as, copper, and silver. The designed sensor successfully detects the SARS-CoV-2 spike protein and shows singular electrical behavior for detection. …

Disturbance-Observer Based Control For Pwm Rectifiers Without Dc Voltage Oscillations Under Unbalanced Grid Conditions, Mohammed Samer Al-Razehi

Theses

A three-phase controlled rectifier is a power electronic converter that employs the grid voltages as an input to produce a constant dc voltage at its output through the use of a capacitor, known as dc-link capacitor. However, the switching devices of power converters can create harmonics in the grid current, which mandates the need for filters to ensure high-quality grid current. This explains why the power converter is normally connected to the grid using passive filters such as L filter or LCL filter. The L filter is normally preferred over LCL filter to reduce harmonic distortions in grid currents as …

Quality-Of-Service Provisioning For Smart City Applications Using Software-Defined Networking, Basima Kurungadan

Theses

In the current world, most cities have WiFi Access Points (AP) in every nook and corner. Hence upraising these cities to the status of a smart city is a more easily achievable task than before. Internet-of-Things (IoT) connections primarily use WiFi standards to form the veins of a smart city. Unfortunately, this vast potential of WiFi technology in the genesis of smart cities is somehow compromised due to its failure in meeting unique Quality-of-Service (QoS) demands of smart city applications. Out of the following QoS factors; transmission link bandwidth, packet transmission delay, jitter, and packet loss rate, not all applications …

Advancing Industrial Participation In Demand Response Within National Electricity Grids Through Systematic Asset Selection, Risk Assessment And Modelling Approaches, Alexander Brem

Theses

Increasing the flexible capacity on national electricity grids will be key to maintain reliable control as the levels of renewables continue to increase annually. The industrial sector has been identified as being capable of contributing and potentially offering flexible capacities, following appropriate investigation. The aim of this thesis is to develop the knowledge, advance the engagement and encourage additional participation in national demand response programmes from the industrial sector to provide this flexibility. The potential within this sector, facilitated by the smart grid and demand response concepts is outlined, specifically detailing their benefits, driving factors and potential barriers as part …

Robust Detection Of Coronary Heart Disease Using Machine Learning Algorithms, Anas Haitham Domyati

Theses

Predicting whether or not someone will get heart or cardiac disease is now one of the most difficult jobs in the area of medicine. Heart disease is responsible for the deaths of about one person per minute in the contemporary age. Processing the vast amounts of data that are generated in the field of healthcare is an important application for data science. Because predicting cardiac disease is a difficult undertaking, there is a pressing need to automate the prediction process to minimize the dangers that are connected with it and provide the patient with timely warning. The chapter one in …

Human Detection From Aerial Imagery For Search And Rescue Operations, Namat Ahmad Bachir

Theses

Mountain recreation is becoming more popular with mountaineering, rock climbing, skiing, mountain biking, hiking, and mushroom picking among the most popular sports. Despite this tendency, there is currently limited research available explaining the rise in search and rescue (SAR), as well as the injuries and illnesses that entail SAR aid in tourist-friendly mountain and desert areas. The objective of a search and rescue operation is to scan the farthest area feasible in the shortest amount of time in order to locate a lost or wounded individual. In the past decade, several new and spectacular uses for drones, including search and …

Quantitative Dynamic Cellular Imaging Based On 3d Unwrapped Optical Coherence Phase Microscopy, Arunkumar Gunasekar

Theses

Phase wrapping artifacts are frequently encountered in phase resolved imaging and sensing techniques based on interferometry. When the value of the actual phase (φ) ranges beyond (-π, π], the extracted phase value (wrapped phase Ψ) is artificially increased or decreased by a multiple of 2π.

In this study, we develop a 3D phase unwrapping method that exploits the correlation of 3D phase data (φ(x,y,t)) over the other dimension (t). We validate our 3D unwrapping method using simulated data, as well as experimental data obtained by optically computed phase microscopy (OCPM) recently developed in our lab. Our results show that the …

Design And Implementation Of Photovoltaic Energy Harvesting Automaton, Iskandar Askarov

Theses

Global domestic electricity consumption has been rapidly increasing in the past three decades. In fact, from 1990 to 2020, consumption has more than doubled from 10,120 TWh to 23,177 TWh [1]. Moreover, consumers have been turning more towards clean, renewable energy sources such as Photovoltaic. According to International Energy Agency, global Solar power generation alone in 2019 has reached almost 3% [4] of the electricity supply. Even though the efficiency of photovoltaic panels has been growing, presently, the highest efficiency solar panels available to an average consumer range only from 20%-22% [14]. Many research papers have been published to increase …

Model-Based Cognitive Communications For Low-Power Wireless Networks, Indika Sanjeewa Abeywickrama Dhanapala

Theses

Our world is increasingly being instrumented with low-power wireless networks that deliver data for diverse application domains such as energy management, health and well-being, security, and other Internet of Things services. As these wireless networks operate in the unlicensed radio spectrum while co-existing with various other communication networks, their communication reliability and energy efficiency are affected by the radio environment. Because of this vulnerability to radio interference, low-power wireless networks may be unable to deliver their application requirements and be inefficiently consuming energy, functioning as a low-dependability network. The situation is exacerbated in indoor environments such as office and residential …

Robust Control Strategies For Optimal Operation Of Distributed Generation In Smart Microgrids, Chi-Thang Phan-Tan

Theses

The high penetration of PV systems and fast communications networks increase the potential for PV inverters to support the stability and performance of smart grids and microgrids. PV inverters in the distribution network can work cooperatively and follow centralized and decentralized control commands to optimize energy production while meeting grid code requirements. However, there are older autonomous inverters that have already been installed and will operate in the same network as smart controllable ones. This research proposes a decentralized optimal control (DOC) that performs multi-objective optimization for a group of PV inverters in a network of existing residential loads and …