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Design And Application Of Circular Edge-Fed Linearly Polarized Patch Antenna With Enhanced Bandwidth And Gain For Respiratory Monitoring Systems, Mo’Ath Akram Al Hayek Oct 2023

Design And Application Of Circular Edge-Fed Linearly Polarized Patch Antenna With Enhanced Bandwidth And Gain For Respiratory Monitoring Systems, Mo’Ath Akram Al Hayek

Theses

This Master’s thesis explores the design and application of a circular edge-fed patch antenna for respiratory monitoring systems. The antenna, fabricated from a thin copper adhesive sheet, demonstrates compatibility with textile materials of low thickness and a relative permittivity of 1.3. Using CST Studio Suite 3D EM simulation software, the antenna’s design was optimized through extensive trials, achieving improved bandwidth and gain. Our findings indicate that the antenna successfully differentiates between various breathing patterns, including slow, normal, and fast breathing rates. The study’s managerial and research implications extend to healthcare, wearable technology sectors, and the broader scientific community. The research …

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Investigation And Analysis Of Circular Economy Indicators In The Manufacturing Industry, Dina Al Jamal Oct 2023

Investigation And Analysis Of Circular Economy Indicators In The Manufacturing Industry, Dina Al Jamal

Theses

In the pursuit of sustainable development, the concept of the Circular Economy (CE) has emerged as a compelling and transformative alternative to the traditional linear economic model (i.e., take, make, use, dispose). The limitations of the linear economy in addressing contemporary global challenges have highlighted the urgency of adopting a more regenerative approach. Simply put, the circular economy aims to maximize the value extracted from available resources over their lifecycle, thereby ensuring the fulfillment of both current and future generations' needs. This thesis sheds light on a pivotal solution for effectively integrating circular economy principles into enterprises, thereby reinforcing sustainability. …

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The Combination Approaches For One Class Classifier Ensembles For Software Defect Datasets, Maitha Mohammed Alkalbani Oct 2023

The Combination Approaches For One Class Classifier Ensembles For Software Defect Datasets, Maitha Mohammed Alkalbani

Theses

The classification of imbalanced datasets poses significant challenges, becoming a crucial topic in ML, particularly when standard algorithms struggle with accurate classification. In OCC, classifiers may encounter objects from ensembles of one class, leading to outlier scores generated at different scales. Additionally, there is a lack of a unified combination method, with many experiments resorting to using an average as the combination method. The thesis aims to investigate the effectiveness of normalization and unnormalized outlier scores on OCC ensembles. Furthermore, we conducted a comparative study of different types of combination methods. We used k-means clustering as OCC model, and the …

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Equilibrium And Active Self-Assembly And Collective Properties Of Network-Based Biomaterials, Lauren Melcher Sep 2023

Equilibrium And Active Self-Assembly And Collective Properties Of Network-Based Biomaterials, Lauren Melcher

Theses

Biological systems have the unique ability to self-organize, respond to environmental stimuli, and generate autonomous motion and work. The fields of biomaterials and synthetic biology seek to recapitulate these remarkable properties of biological systems in in-vitro reconstitutions of biological systems, and in abiotic or biotic-abiotic hybrid materials to better understand the underlying rules of life and to predict the design principles of biomimetic smart materials. Motivated by this, we create bottom-up mathematical models, rooted in experiments, of network-based synthetic and biological materials. These encompass two-dimensional colloidal networks connected by rhythmic crosslinkers, and three-dimensional biopolymer networks assembled via depletion interactions, physical …

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Using Ml To Understand The Factors Impacting Diabetes In Diabetic Patients, Marwa Ahmed Almarzooqi Sep 2023

Using Ml To Understand The Factors Impacting Diabetes In Diabetic Patients, Marwa Ahmed Almarzooqi

Theses

Diabetes, a well-known medical condition since ancient times, has become a prevalent and significant health concern in recent decades. The rising incidence of diabetes has necessitated early diagnosis and effective treatment. Machine learning (ML) innovations have revolutionized disease prediction and decision-making by utilizing massive datasets. This study aims to develop and compare machine learning (ML) models for diabetes prediction using a preprocessed dataset of 532 instances obtained from Kaggle. Important variables included in the data set are Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age, and Outcome. The correlation analysis revealed a strong positive association between …

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What Is The Best Way To Develop A Website?, Nahomy Julieta Calderon Lopez Sep 2023

What Is The Best Way To Develop A Website?, Nahomy Julieta Calderon Lopez

Theses

This project is centered around empowering individuals with the knowledge and resources necessary for effective website development. The culmination of Thesis/Directed Project II is a user-friendly website designed to distill and present the insights gathered during Thesis/Directed Project I. This website features an engaging interactive quiz, aimed to help the users identify what is the best way, for them, to develop a website. The quiz has multiple questions, each with three distinct response options, the quiz guides users towards one of three key approaches for website development: Website Builders, Content Management System platforms, or Coding. Upon receiving their quiz results, …

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A Numerical Investigation Realizing The Flow Structure And Heat Transfer Performance Of The Potential Impinging Jets, Mohammed Sami Uddin Khan Sep 2023

A Numerical Investigation Realizing The Flow Structure And Heat Transfer Performance Of The Potential Impinging Jets, Mohammed Sami Uddin Khan

Theses

The demand for improvement in the performance of gas turbines has led to the consideration of flows at increasingly high temperatures, but this introduces challenges in terms of maintaining their structural integrity and preventing overheating. To respond to these challenges, gas turbine manufacturers have turned to internal cooling, and jet impingement provides an effective solution for cooling the leading edge of the blades of gas turbines. In this study, the author numerically simulated the cooling performance of the leading edge of the blades of a gas turbine under constant heat flux by using five configurations of jet impingement: a steady …

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Dual-Site Photoplethysmography Sensing For Noninvasive Continuous-Time Blood Pressure Monitoring Using Artificial Neural Network, Anas Mohmmad Rabab’Ah Sep 2023

Dual-Site Photoplethysmography Sensing For Noninvasive Continuous-Time Blood Pressure Monitoring Using Artificial Neural Network, Anas Mohmmad Rabab’Ah

Theses

Millions of people worldwide struggle from high blood pressure, often known as hypertension, and it is a major health concern that can lead to serious cardiovascular diseases, including heart attacks and many other consequences. Blood pressure monitoring that is reliable and accurate is crucial to the detection and management of hypertension. Although invasive techniques, such as arterial catheterization, are considered to be the most accurate means of evaluating blood pressure, they can be painful, time-consuming and carry a risk of complications.
/="/">This thesis presents the development of a real time non-invasive blood pressure monitoring system based on commercially available …

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Upgrading Biomass To Bio-Oil: Catalytic Hydrodeoxygenation And Pyrolysis Of Vanillin And Anisole Biomass Model Compounds, Ahmad J. Yaghi Sep 2023

Upgrading Biomass To Bio-Oil: Catalytic Hydrodeoxygenation And Pyrolysis Of Vanillin And Anisole Biomass Model Compounds, Ahmad J. Yaghi

Theses

The purpose of this project is to investigate capacity of selected formulations of catalysts toward the hydrodeoxygenation (HDO) of biomass model compounds in the gas phase with the underlying aim to produce hydrocarbon cuts that can be directly used as transportation fuels. The first part of this project is to devoted to illustrate procedures for the synthesis of potent (HDO) catalysts. Synthesized catalysts encompass nickel (Ni), cobalt (Co) and palladium (Pd) supported on zeolite, cerium oxide (CeO2) or alumina (Al2O3). Various characterization techniques such as X-ray Diffraction (XRD), Temperature Programmed Reduction (TPR) were deployed …

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Investigating The Rheological Behavior Of A Simple Yield Stress Fluid Under Shear Flows, Francesco Accetta Aug 2023

Investigating The Rheological Behavior Of A Simple Yield Stress Fluid Under Shear Flows, Francesco Accetta

Theses

Many soft materials display unique and complex rheological behavior characterized by a transition from a solid-like to a fluid-like state upon the application of a force that exceeds the threshold to flow, known as the yield stress. Yield stress fluids are found in a wide range of commonly encountered materials including microgels, emulsions, and foams, and have been widely studied by rheologists over the last several decades. Carbopol is a popular polymeric microgel system as it displays simple, non-thixotropic rheological behavior and is typically seen as an ideal yield stress fluid. Previous research has demonstrated the reproducible behavior of shear …

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Impact Of Digital Transformation On Achieving Sustainability In Utility Sector Of Uae, Abdulrahman Salem Alsaleh Aug 2023

Impact Of Digital Transformation On Achieving Sustainability In Utility Sector Of Uae, Abdulrahman Salem Alsaleh

Theses

The central focus of the current study is to understand the impact of digital technology on sustainable practices in a utility sector within the UAE. The research examined whether AI, blockchain, and big data can improve sustainability in the company to completely understand how digital technologies influences sustainable practices in the county’s utility sector. Data were gathered using the survey data collection method for a quantitative review. The reliability of the data was examined using Cronbach’s Alpha, and the strength of the relationships between the variables was investigated using correlation analysis. The extent to which the adoption of AI, big …

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Design And Implementation Of Environmental Management System (Ems) Using Iso 14001:2015 Standard In A Medical/Healthcare Organization, Mohammed Rizwan Mirajkar Aug 2023

Design And Implementation Of Environmental Management System (Ems) Using Iso 14001:2015 Standard In A Medical/Healthcare Organization, Mohammed Rizwan Mirajkar

Theses

Environmental Management Systems (EMS) have been widely implemented by organizations across various industries since late 1980s. The system comprises of policies, procedures, processes, and various documents and formats that are essential not only to attain governance within organizations but also establish a robust management system. In the last decade, the need to enhance environmental performance and achieve sustainability objectives has become a business imperative for organizations across the world. Organizations are mandated to comply with environmental requirements and regulations through contractual agreements between customers and their business partners. Globally, the ISO 14001:2015 standard in its current version is the most …

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Reduction In The Thermal Budget Of Sputtered Indium Tin Oxide (Ito) To Potentially Broaden Its Use In Microelectronic Devices, Zachary Flowers Aug 2023

Reduction In The Thermal Budget Of Sputtered Indium Tin Oxide (Ito) To Potentially Broaden Its Use In Microelectronic Devices, Zachary Flowers

Theses

Indium tin oxide, ITO, is a transparent conducting oxide widely known for its low resistivity and high transmission in the visible spectrum. It is most commonly used as a contact in optoelectronic devices, where its transmission is paramount to the function of the device. In this work, a low thermal budget process to sputter ITO films to potentially expand its applications in the RIT cleanroom was developed. The baseline process utilized a dielectric In2O3:SnO2 sputter target and a 2 hour, 400◦C post deposition anneal step to achieve a high quality film. This work achieved films with similar properties, but with …

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Spatiotemporal Dynamics Of The Marine Invertebrate Community Associated With Amathia Verticillata, Emily Masini Zavacki, Nathalie Reyns Phd, Michel Boudrias Phd, Jeff Crooks Phd Aug 2023

Spatiotemporal Dynamics Of The Marine Invertebrate Community Associated With Amathia Verticillata, Emily Masini Zavacki, Nathalie Reyns Phd, Michel Boudrias Phd, Jeff Crooks Phd

Theses

Non-indigenous species (NIS) are often thought to have negative consequences on ecosystems. However, some NIS are ecosystem engineers, organisms that modify and/or create habitats by changing physical structure (either biogenic or abiotic), such as Amathia verticillata (previously Zoobotryon verticillatum [delle Chiaje, 1822]), a non-indigenous bryozoan with a global distribution. The role of NIS as ecosystem engineers can be complicated due to the mix of impacts that they may have on the ecosystem. Thus, the role of A. verticillata as an ecosystem engineer may shift our understanding about its ecological role on anthropogenic structures, such as docks through an urbanized area, …

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Graph-Based Learning Networks For Automatic Pigment Mapping Of Historical Artifacts, Bei Cao Aug 2023

Graph-Based Learning Networks For Automatic Pigment Mapping Of Historical Artifacts, Bei Cao

Theses

Hyperspectral image classification can be a difficult task due to a lack of ground-truth labels and spectral variability. For hyperspectral images (HSIs) of historical artifacts, which are generally man-made objects, this is generally a significant challenge. Aiming to differentiate subtle spectral differences between varied pigments, we introduce graph- based learning networks and a powerful learning pipeline for realizing automatic pigment mapping on the maps. First, we develop a Graph Modularity clustering method for pro- ducing trustworthy ground-truth map for pigment classification task. We analyze the influence of graph structure on the Graph Neural Networks and propose Spatial-Spectral Graph Convolutional Network …

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Optimization Of Alternative Mask Absorber Materials For Euv Lithography, Rajiv Naresh Sejpal Aug 2023

Optimization Of Alternative Mask Absorber Materials For Euv Lithography, Rajiv Naresh Sejpal

Theses

In efforts to continuously scale feature dimensions in semiconductor manufacturing, the industry has moved from refractive optical lithography to reflective extreme ultra-violet lithography (EUVL). The latter provides a significant improvement in the resolution by illuminating mask patterns using 13.5nm source wavelength at oblique chief ray angles (CRA). A typical EUVL mask consists of a multilayer Bragg mirror topped with a 55-70nm Tantalum-based (Ta-based) absorber stack to obtain layout patterns. This current three-dimensional (3D) mask architecture in combination with a small source wavelength and oblique illumination angles results in mask 3D (M3D) effects such light shadowing, pitch dependent best focus variations, …

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Deep Reinforcement Learning And Hybrid Approaches To Solve Multi-Vehicle Combinatorial Optimization Problems, Prashant Sankaran Aug 2023

Deep Reinforcement Learning And Hybrid Approaches To Solve Multi-Vehicle Combinatorial Optimization Problems, Prashant Sankaran

Theses

Combinatorial optimization problems are an important class of problems often encountered in the real world involving a combinatorially growing set of feasible solutions as the problem size increases. Since exact approaches can be computationally expensive, practitioners often use approximate approaches such as metaheuristics. However, sophisticated approximate methods that yield high-quality solutions require expert help to handcraft or fine-tune the solution process to suit a given problem distribution. In recent years, artificial intelligence (AI) approaches that involve learning from data without being explicitly programmed have shown tremendous success at various challenging tasks, like natural language processing and autonomous driving. Therefore, solving …

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Analysis Of The Aerosol Composition, Its Deposition And Uptake In Electronic Cigarette Users, Chamodhi Ravihansi Polgampola Ralalage Aug 2023

Analysis Of The Aerosol Composition, Its Deposition And Uptake In Electronic Cigarette Users, Chamodhi Ravihansi Polgampola Ralalage

Theses

Electronic cigarettes (e-cigarettes) generate aerosol (particles in a gas matrix) by vaporizing the e-liquid, consisting of propylene glycol (PG), glycerol (GL), nicotine, and other additives. Aerosol enters the respiratory tract (RT) of the user, where part of it is deposited, while the rest is exhaled. Compounds in the gas and particle phase have different deposition mechanisms in the RT, thus determining the location of deposition. The location of deposition and amount of a compound will influence the biological response in the body. Identifying the composition of each constituent in the gas phase and particle phase would enhance the understanding of …

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Synthesis Of Sustainable Polyethylene Mimics Through Ring-Opening Metathesis Polymerization, Brandon Zhang Aug 2023

Synthesis Of Sustainable Polyethylene Mimics Through Ring-Opening Metathesis Polymerization, Brandon Zhang

Theses

Polyethylene is the most produced plastic in the world due to its versatility and ubiquitous applications. The production and use of polyethylene however pose sustainability issues such as using petroleum resources and the persistence of its waste in landfills and oceans. Though not every issue can be addressed simultaneously, the more critical issue is to develop a polyethylene that can degrade within a few months instead of hundreds of years. A possible solution is to synthesize a polyethylene mimic, consisting of long chain of methylene groups with an occasional input of a functional group while maintaining similar properties as that …

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Analyzing The Impact Of Process-Oriented Technology In Programming Education, Kate Arendes Aug 2023

Analyzing The Impact Of Process-Oriented Technology In Programming Education, Kate Arendes

Theses

Currently, there exist several factors in programming education that deter novice programmers. Computer science students are often significantly penalized for programs that do not compile, reflecting how current teaching standards are focused on the product of the student’s efforts, rather than the independent pieces of code that would otherwise execute properly. Novice programmers struggle with interpreting error messages that identify where and why a program failed, but are written with the assumption that the author already has mastered the fundamental concepts that they are trying to implement. In the classroom, educators may show presentations with pre-written code or perform live …

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Commissioning The Tomographic Ionized-Carbon Mapping Experiment, Benjamin James Vaughan Aug 2023

Commissioning The Tomographic Ionized-Carbon Mapping Experiment, Benjamin James Vaughan

Theses

Line intensity mapping is a novel technique that traces the evolution of cosmological structure sourcing a particular emission line through measurements of the aggregate emission of all galaxies along a line of sight. The Tomographic Ionized-carbon Mapping Experiment (TIME) is a far infrared waveguide imaging spectrometer that operates from 183-323 GHz, allowing it to trace the emission of the singly ionized carbon fine structure line ([CII], 157.7 µm) from redshift 5 to 9 to probe the infrared emission from star formation during the Epoch of Reionization. Further, TIME will also perform line intensity mapping observations of several carbon monoxide rotational …

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Visualizing A Thought-Actuated 3d Printed Prosthesis, Brett Walter Aug 2023

Visualizing A Thought-Actuated 3d Printed Prosthesis, Brett Walter

Theses

The e-NABLE Project has created a worldwide network of passionate volunteers who utilize 3D printing technology to provide prosthetic hands to individuals who may not otherwise be able to obtain one. Most of these recipients are children in underdeveloped countries who have suffered from Amniotic Band Syndrome (ABS) and cannot seek expensive medical prosthetics. ABS occurs when fibrous bands from the amniotic sac wrap tightly around a fetus’s extremities (most commonly fingers), restricting blood flow and ultimately resulting in complete amputation. The e-NABLE Project’s prosthesis utilizes the functional wrist and fingerless palm to push against the device, contracting the mechanical …

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3d Computational Modeling Of Multiphase Phenomena In Boiling Heat Transfer, Winston O. James Iii Aug 2023

3d Computational Modeling Of Multiphase Phenomena In Boiling Heat Transfer, Winston O. James Iii

Theses

Boiling heat transfer is used in industrial processes, such as heat exchangers, nuclear reactors, and high-powered electronics. There is a need to generate effective heat dissipation techniques to increase the operation limits of these technologies. To enhance heat dissipation with boiling flows, it is important to study boiling phenomena from a fundamental perspective to identify the relation between the fluid and heat transfer behavior near the interface during bubble growth. Boiling simulations have been used as a tool to visualize and quantify the heat transfer mechanisms near the interface. However, challenges exist in modeling bubble growth with a sharp interface …

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Purification And Detection Of Antibiotic-Resistant Bacteria From Whole Blood With Nano-Sieve, Xinye Chen Aug 2023

Purification And Detection Of Antibiotic-Resistant Bacteria From Whole Blood With Nano-Sieve, Xinye Chen

Theses

Life-threatening bloodstream infections (BSI), such as sepsis, mainly caused by the body’s syndromic response to pathogen infection, are a major public health concern, leading to ~11 million deaths each year. The identification of sepsis presents significant challenges in the diagnostic process, as the isolation of low concentration pathogens from bodily fluids (e.g., human blood) is extremely demanding, and typically relies on time-consuming and complicated isolation processes. Therefore, this work aims to explore the potential of microfluidics as a powerful tool for rapid purification and concentration of antibiotic-resistant bacteria (ARB) from blood samples, meanwhile developing a molecular diagnostic technology by combining …

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Dual Function Molecular Imaging Probes For Breast Cancer, Christopher Denyse Aug 2023

Dual Function Molecular Imaging Probes For Breast Cancer, Christopher Denyse

Theses

Breast cancer (BrCa) is a pressing health concern, necessitating the development of effective imaging and therapeutic agents. To address this need, we designed and synthesized molecularly targeted imaging and therapeutic agents that combine visualization and treatment of tumors in real-time. Our approach involved the development of dual-modal agents, incorporating the fluorescent near infrared (NIR) dye, IRDye78, and a chlorin-based photosensitizer (PS) dye, Mesopyropheoborbide-a (mPPa), coupled to a BrCa-targeting peptide, "18-4." Additionally, we created a water-soluble, single-modal targeted PS probe for photodynamic therapy (PDT) of BrCa for use guided by other imaging methods. Our methodology was based on a modular approach, …

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The Future Of Deep Fakes: Analyzing The Potential Future Consequences Of The Widespread Use Of Deepfakes On The Policing Sector, Maryam Salem Alshamsi Aug 2023

The Future Of Deep Fakes: Analyzing The Potential Future Consequences Of The Widespread Use Of Deepfakes On The Policing Sector, Maryam Salem Alshamsi

Theses

In today’s world there is a growing uncertainty in terms of the truthfulness of what we see and hear. People digest a great amount of information throughout the day using their devices, yet the quality and credibility of content is in question. People question if we are experiencing and perceiving the same reality at this point. This issue is not novel, however, it has progressed and developed to a level of realism that deceives people and affect their comprehension of information. Rapid technological advancement has raised the concern of what is referred to as “Deepfakes”, a machine learning technique that …

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Characterizing And Detecting Software Attack Surface Components, Sara Moshtari Aug 2023

Characterizing And Detecting Software Attack Surface Components, Sara Moshtari

Theses

The notion of Attack Surface refers to the critical points on the boundary of a software system which are accessible from outside or contain valuable content for attackers. The ability to identify attack surface components of software system has a significant role in effectiveness of different security analysis approaches such as vulnerability analysis. Most prior works focus on the security analysis approach and use an approximation of attack surfaces. There have not been many attempts to create a comprehensive list of attack surface components. Although limited number of studies have focused on attack surface analysis, they defined attack surface components …

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Optimized Generative Pre-Training Eeg To Sentiment Classification (Ogptsc), Amira Hassan Aug 2023

Optimized Generative Pre-Training Eeg To Sentiment Classification (Ogptsc), Amira Hassan

Theses

This research aims to revolutionize electroencephalogram (EEG) analysis by proposing and developing an innovative method for sentiment classification, introducing the groundbreaking "Optimized Chat Generative Pre-training EEG to Sentiment Classification (OGPTSC)." This novel approach harnesses the power of Generative Pre-training (GPT2) as the vocabulary language model while utilizing an intelligent hyper-parameter selection method to fine-tune and optimize the model's performance. Extensive testing is conducted on a widely recognized dataset to evaluate the OGPTSC's prowess, demonstrating its exceptional capabilities in sentiment classification. Notably, this research extends its scrutiny beyond the OGPTSC by applying the same hyper-parameter selection technique to well-established models such …

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Model-Free Sliding Mode Control In The Lateral And Direction Dynamics Of An Aircraft, Nicholas Hutson Aug 2023

Model-Free Sliding Mode Control In The Lateral And Direction Dynamics Of An Aircraft, Nicholas Hutson

Theses

Traditional control methods require extensive tuning or a derivation of a system model making them increasingly antiquated for use on new, more complex systems. Sliding Mode Control has emerged as a more effective alternative as a control method that can directly handle nonlinear systems with increased robustness while guaranteeing stability. However, it is still limited by the need for a system model for the derivation of the controller form. This work proposes a new model-free control method based on Sliding Mode Control referred to as Model-Free Sliding Mode Control where the form of the controller is only dependent on system …

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Programmable Processing-In-Memory Core And Cluster Design And Verification, Namita Bhosle Aug 2023

Programmable Processing-In-Memory Core And Cluster Design And Verification, Namita Bhosle

Theses

The surge in demand for semiconductors and AI-driven applications has led to an amplified requirement for swift and efficient semiconductor design production cycles. These shortened cycles, however, pose a challenge as they reduce the time available for complex chip design and verification, consequently increasing the likelihood of producing error-prone chips. Current research concentrates on utilizing a Lookup Table (LUT) based pPIM (Programmable Processor in Memory) technology to deliver efficient, low-latency, and low-power computation specifically tailored to 4-bit data requirements, ideal for repetitive and data-expensive AI algorithms. This thesis presents the user-defined Generation 2 pPIM, a redesigned and enhanced version of …

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