Digital Commons Network^™

Using Linear Arrays Of Micro-Ring Resonators To Enhance The Hong-Ou-Mandel Effect For Quantum Optical Networks In Silicon Nanophotonics, Peter Kaulfuss

Theses

Quantum Information Processing (QIP) is a quickly evolving field, from basic research to next-generation, deployable technology. Its development is catalyzed by the inherent scalability and efficient packaging provided by working in silicon nanophotonics. The Hong-Ou- Mandel (HOM) effect is a versatile quantum photonic tool used in a wide variety of applications throughout QIP. In this thesis we examine new types of circuits using linear arrays of Micro- Ring Resonators (MRRs) to enhance the attainability of the HOM effect. We propose three new devices: a circuit exhibiting robust expansion to the HOM effect using small series of identical MRRs, a HOM …

Calibrating Knowledge Graphs, Aishwarya Rao

Theses

A knowledge graph model represents a given knowledge graph as a number of vectors. These models are evaluated for several tasks, and one of them is link prediction, which consists of predicting whether new edges are plausible when the model is provided with a partial edge. Calibration is a postprocessing technique that aims to align the predictions of a model with respect to a ground truth. The idea is to make a model more reliable by reducing its confidence for incorrect predictions (overconfidence), and increasing the confidence for correct predictions that are closer to the negative threshold (underconfidence). Calibration for …

Manipulation Of Carbon Nanotube Growth Direction Utilizing Magnetic Fields, Rees D. Folaron

Theses

Carbon nanotubes are, as the name implies, nano-scale cylindrical structures consisting of monolayer carbon atoms arranged in a hexagonal lattice rolled into tubes. The resulting tubes can either be multi-walled or single walled and have a plethora of handy properties that make them functional in a wide range of applications. Carbon nanotubes, or CNTs, are known to be ultra-high strength, low weight, material that possess highly conductive electrical and thermal properties. These attributes make CNTs well suited for virtually any application requiring high strength, durability, electrical conductivity, thermal conductivity, and lightweight. As such, carbon nanotubes are being applied to a …

A Spectral Component Analysis Of Repeating Frb121102, Zachary Diermyer

Theses

Fast Radio Bursts (FRBs) are extremely luminous, millisecond duration radio pulses of unknown origin. While many FRBs are transient events, a few sources are confirmed to be the progenitor of multiple bursts. These "repeaters" offer an extraordinary chance to study the properties of mysterious FRB signals. The FRB121102 source was the first repeater to have ever been discovered and it has since provided us with a wealth of data to be analyzed. A unique feature of repeaters, including FRB121102, is the presence of a multicomponent burst structure. This is a phenomenon where individual portions of the burst are separated in …

Fraud Detection Using Data Analytics, Ayesha Karmustaji

Theses

At present, the biggest concern of every organization is to detect and control financial fraud. Tax frauds cause the loss of billions of dollars every year. As a result, data mining techniques are used to combat the growing problem of tax fraud. Tax evasions cause a reduction in revenue collection. It also has a bleak impact on government policies and budget. The goal of this study is to describe the use of data analytics tools to process and analyze tax data related to value-added tax evasions. This study is a conceptual perspective that provides a theoretical and methodological basis for …

3d Object Detection Via 2d Lidar Corrected Pseudo Lidar Point Clouds, Saurabh Mahendra Sonje

Theses

The age of automation has led to significant research in the field of Machine Learning and Computer Vision. Computer Vision tasks fundamentally rely on information from digital images, videos, texts and sensors to build intelligent systems. In recent times, deep neural networks combined with computer vision algorithms have been successful in developing 2D object detection methods with a potential to be applied in real-time systems. However, performing fast and accurate 3D object detection is still a challenging problem. The automotive industry is shifting gears towards building electric vehicles, connected cars, sustainable vehicles and is expected to have a high growth …

Improvements And Analysis Of Challenging Numerical Simulations Of Binary Black Holes, Nicole Rosato

Theses

We explore different gauge choices in the moving puncture formulation in order to improve the accuracy of a linear momentum measure evaluated on the horizon of the remnant black hole produced by the merger of a binary. In particular, motivated by the study of gauges in which the damping term in the shift m eta takes on a constant value, we design a gauge via a variable shift parameter m eta(r(t)). This parameter takes a low value asymptotically, 1/m, and then takes on a value of approximately 2 at the final hole horizon. This eta then follows the remnant black …

Standard Accented Turkish Speakers’ Perception Of Kurdish Accented Speakers: The Factors Behind The Evaluations, Busra Can

Theses

This study investigates the attitudes of standard accented Turkish speakers towards non-standard Kurdish accented speakers of Turkish. Given the fact that there are strict language policies in Turkey, this paper analyzes the effect of such standard language ideologies on listener attitudes using a mixed-methods design. The study included 50 Turkish participants with ages ranging from 19 to 51. Participants completed a survey with 21 questions and could volunteer to also participate in an interview. The survey asked about biographical data, evaluations of various speakers and ratings of accents of Turkish. Using a matched guise technique in the survey, a Kurdish …

A Comparison Of Virtual And In-Person Learning On The Observation Of Puzzle Manipulation Among Neurotypical And Neurodiverse Children, Katrina Verhagen

Theses

Virtual learning has been used long before the COVID-19 pandemic for mental health care or acute conditions but was rarely used as a replacement for in-person visits. Additionally, virtual learning was primarily used for those earning graduate and undergraduate degrees. Virtual learning for individuals younger than eighteen is not typically researched, as it has not been a subject of importance or seen as a replacement for in-person learning. The current study worked with four male children under the age of eighteen from both the neurotypical and neurodiverse populations. Participants were paired into dyads to assess learning done both virtually and …

Securing In-Memory Processors Against Row Hammering Attacks, Sahil K. Gogna

Theses

Modern applications on general purpose processors require both rapid and power-efficient computing and memory components. As applications continue to improve, the demand for high speed computation, fast-access memory, and a secure platform increases. Traditional Von Neumann Architectures split the computing and memory units, causing both latency and high power-consumption issues; henceforth, a hybrid memory processing system is proposed, known as in-memory processing. In-memory processing alleviates the delay of computation and minimizes power-consumption; such improvements saw a 14x speedup improvement, 87\% fewer power consumption, and appropriate linear scalability versus performance. Several applications of in-memory processing include data-driven applications such as Artificial …

The State Of Practice For Security Unit Testing: Towards Data Driven Strategies To Shift Security Into Developer's Automated Testing Workflows, Danielle Nicole Gonzalez

Theses

The pressing need to “shift security left” in the software development lifecycle has motivated efforts to adapt the iterative and continuous process models used in practice today. Security unit testing is praised by practitioners and recommended by expert groups, usually in the context of DevSecOps and achieving “continuous security”. In addition to vulnerability testing and standards adherence, this technique can help developers verify that security controls are implemented correctly, i.e. functional security testing. Further, the means by which security unit testing can be integrated into developer workflows is unique from other standalone tools as it is an adaptation of practices …

Heat Transfer Intensification In Microchannel Heat Sinks (Mchs) - Wavy Channels Embedded With Pin Fins, Anas Mohammad Amin Alkhazaleh

Theses

This work conceptualizes heat sinks for electronics employing wavy/sinusoidal microchannels embedded with pin fins and subsequently analyzes their performance in terms of thermal resistance, pressure drop, maximum chip temperature, and the associated pumping power due to the pressure drop. The conceptualized wavy Microchannel Heat Sink (MCHS) is mathematically modeled using a combination of governing equations including energy equations, continuity equations, and Navier- Stokes equations. The performance of the wavy microchannel heat sink embedded with pin fins is evaluated based on a parametric study covering multiple parameters; microchannel’s amplitude, frequency, hydraulic diameter, pin fins’ diameter, and location, and Reynolds number. The …

Understanding And Identifying Vulnerabilities Related To Architectural Security Tactics, Joanna Cecilia Da Silva Santos

Theses

To engineer secure software systems, software architects elicit the system's security requirements to adopt suitable architectural solutions. They often make use of architectural security tactics when designing the system's security architecture. Security tactics are reusable solutions to detect, resist, recover from, and react to attacks. Since security tactics are the building blocks of a security architecture, flaws in the adoption of these tactics, their incorrect implementation, or their deterioration during software maintenance activities can lead to vulnerabilities, which we refer to as "tactical vulnerabilities". Although security tactics and their correct adoption/implementation are crucial elements to achieve security, prior works have …

A Reinforcement Learning Approach To Vehicle Path Optimization In Urban Environments, Shamsa Abdulla Al Hassani

Theses

Road traffic management in metropolitan cities and urban areas, in general, is an important component of Intelligent Transportation Systems (ITS). With the increasing number of world population and vehicles, a dramatic increase in road traffic is expected to put pressure on the transportation infrastructure. Therefore, there is a pressing need to devise new ways to optimize the traffic flow in order to accommodate the growing needs of transportation systems. This work proposes to use an Artificial Intelligent (AI) method based on reinforcement learning techniques for computing near-optimal vehicle itineraries applied to Vehicular Ad-hoc Networks (VANETs). These itineraries are optimized based …

Can Home Garden Be A Safe Haven In Times Of Crisis? To Measure Householders Attitudes, Preferences And Willingness To Have Home Garden At Time Of Pandemics, Noura Mubarak Al Mansouri

Theses

The new coronavirus that has rapidly become a worldwide outbreak leads people to Self-quarantine, where work, school, and shopping have become through remote applications. Keeping fit and being healthy is important at any time, especially during the coronavirus pandemic. Having a garden or outdoor space provides the opportunity to have a place that can be used to maintain a healthy life and well-being of an individual. The coronavirus lockdown has provided the time ad opportunity to create a garden that has been always wanted by householders. A Garden is a plot of ground where herbs, fruits, flowers, vegetables, and etc. …

Forensic Evaluation Of Qiagen Investigator Argus Y-28 With Case Work Samples, Afnan Mohammed Alshamsi

Theses

Short Tandem Repeats polymorphisms on the Y-chromosome (Y-STRs) play a significant role in history of human hereditary. The recently introduced 6-dyes Qiagen investigator Argus Y-28 Kit which include 28Y-STR loci (DYS389I, DYS391, DYS389II, DYS533, DYS390, DYS627, DYS458, DYS393, DYS19, DYS437, DYS449, DYS460, DYS576, YGATAH4, DYS481, DYS448, DYS518, DYS439, DYS549, DYS438, DYS456, DYS643, QS1, DYS570, DYS635, DYS385, DYS392, QS2) has been used for internal validation study used in the forensic laboratories which followed sensitivity study, mixture studies, PCR parameter limits, stability study, and performance on mock casework samples. The results were reported by statistical analysis using ANOVA program. The results validate …

Comprehensive Characterization Of The Aerosol And Cloud Condensation Nuclei In The Uae, Farah Hassan Abdi

Theses

Cloud seeding has emerged as a significant alternative freshwater source in the United Arab Emirates (UAE). It is employed to manipulate weather conditions and increase precipitation in specific target regions. These efforts aim to densify clouds and enhance the likelihood of rainfall by inducing nucleation. This technique involves an operational crew aboard an aircraft that disperses substantial quantities of seeding particles, such as salts or silver iodide, into suitable clouds. These particles can serve as cloud condensation nuclei (CCN) and indirectly affect the rate of rainfall. In 2018, cloud seeding operations were responsible for approximately 10-15% of the UAE's total …

Assimilating Requirements Specification For Space Manned Missions: A Novel Approach, Khalfan Mohamed Al Remeithi

Theses

Aligned with the UAE Space Strategy 2117, which aims to establish the first inhabitable human on the Martian Surface by 2117, and with the current enthuse toward space tourism, the thesis proposes a novel framework to assimilate the process of requirement specification for a Manned Mission to Mars surface. Deep Space manned missions are unique and characterized by a set of specific requirements that should be elicited from different sources and stakeholders to ensure the missions’ success. In addition, these missions are highly dependent on the software components in the Command and Data Handling System (CDHS), which is used to …

Anticolon Cancer Activity Of Aristolochia Rotunda Root Extract, Ghufran Ayman Al Salloum

Theses

Colon cancer is the third leading cause of cancer death worldwide and the first cause of cancer death in the UAE. While the conventional cancer therapy options like chemotherapy, radiation, and surgery are effective in the treatment of most cancers, they exhibit precarious side effects that can endanger the life of the patient. The present study explores the potential anticancer effect of Aristolochia rotunda root extract against human colorectal cancer cells. The root extract exhibited strong anti-proliferative activity in a concentration- and time-dependent manner against human colorectal cancer cell lines. A. rotunda root extract also inhibited colony growth and induced …

Rm-Net: Rasterizing Markov Signals To Images For Deep Learning, Kajal Gupta

Theses

Statistical machine learning approaches are quite famous for processing Markov signal data. They can model unobserved states and learn certain characteristics particular to a signal with good accuracy. However, with the advent of Deep learning the novice ways of solving a problem has shifted towards this more sophisticated algorithm, which is much better, powerful and more accurate. Specifically, Convolutional Neural Nets (CNN) have shown many promising results on images and videos. Here we illustrate how CNN can be applied to a 1D numeric signal using signal rasterization technique. We start by rasterizing a 1D numeric Markov signal into an image …

Stock Market Prediction Using Investor Sentiment, Sarvesh Shukla

Theses

Stock market prediction has attracted not only business but academia as well. It is a research topic, to which many computational methods have been proposed, but desirable and reliable performance is yet to be attained. This study proposes a new method for stock market prediction, which adopts the Gated Recurrent Unit a deep neural network and incorporates investor sentiment to improve its forecasting performance. By extracting investor sentiment from news headlines using VADER sentiment, this paper makes it possible to analyze the irrational component of stock price. Our empirical study on DJIA index proves that our prediction method provides 6% …

Finite Element Modeling Of Underwater Acoustic Environments And Domain Decomposition Methods, General Ozochiawaeze

Theses

Underwater acoustic scattering problems have several important applications ranging from sonar imaging in target detection to providing information for sediment classification and geoacoustic inversion. This work presents numerical methods for time-harmonic acoustic scattering problems, specifically, finite element methods for the Helmholtz equation. Furthermore, an iterative domain decomposition formulation is introduced for acoustic scattering problems where the physical domain consists of multiple layers of different materials.

Real Time Analysis Of Eye Movements Using Computer Aided Software, Farhan Ahmad

Theses

Eye movement analysis is a slow and tasking job that require a trained vision analyst to sift through hundreds of eye movements. The difficulty of the task increases when a subject has undiagnosed eye related disorders. One such disorder is Convergence insufficiency (CI) which affects nearly 12 million people in the US. Convergence insufficiency occurs when the eyes are unable to coordinate simultaneous inward movement for near focal tracking. Individuals with CI are unable to coordinate eye movements this can result in many symptoms such as double vision, blurred vision, headaches, vision strain, and fatigue. A diagnosis for CI relies …

Assembly And Detection Of 3-D Qr Codes Through Additive Manufacturing And Terahertz Imaging, Patrick Dunn

Theses

Automatic identification and data capture, or AIDC, plays a substantial role in contemporary business, advertising, and military needs. The purpose of this study is to generate a potential alternative to current AIDC approaches by constructing three-dimensional plastic tags (or ‘3D QR codes’) using additive manufacturing techniques and interrogate them using Terahertz radiation. 3D Quick Response (QR) codes are designed in 3D computer-aided design software. The QR codes are 3D structures embedded in the printed plastic in which an air gap in the plastic (or an air gap filled in with another type of plastic) indicates a bit of information. Information …

Stationary Probability Distributions Of Stochastic Gradient Descent And The Success And Failure Of The Diffusion Approximation, William Joseph Mccann

Theses

In this thesis, Stochastic Gradient Descent (SGD), an optimization method originally popular due to its computational efficiency, is analyzed using Markov chain methods. We compute both numerically, and in some cases analytically, the stationary probability distributions (invariant measures) for the SGD Markov operator over all step sizes or learning rates. The stationary probability distributions provide insight into how the long-time behavior of SGD samples the objective function minimum.

A key focus of this thesis is to provide a systematic study in one dimension comparing the exact SGD stationary distributions to the Fokker-Planck diffusion approximation equations —which are commonly used in …

Land Cover Image Segmentation Based On Individual Class Binary Segmentation, Sathyanarayanan Somasunder

Theses

Remote sensing techniques have been developed over the past decades to acquire data without being in contact of the target object or data source. Their application on land-cover image segmentation has attracted significant attention in recent years. With the help of satellites, scientists and researchers can collect and store high resolution image data that can be further processed, segmented, and classified. However, these research results have not yet been synthesized to provide coherent guidance on the effect of variant land-cover segmentation processes. In this paper, we present a novel model that augments segmentation using smaller networks to segment individual classes. …

Optimization Of Standard Buildings, Ahmed Alkaabi, Saleh Albreiki, Sultan Alawadhi, Yahya Alzarooni

Theses

Different utility sectors in the GCC prefer to adhere to a strict structural structure in order to make their offerings more efficient and satisfy specific customer needs. These layouts often include at least a few facilities, including the facility's security office, fire pump system and operation specifications, and the main facility support house. The challenges in designing these facility structural layouts appear to result in enormous expense requirements, which will be discussed in this article. Multiple buildings on a single plot result in multiple distinct "rafts," each with its own set of access conditions. Getting multiple foundations/buildings, on the other …

Examining Dissociation And Cannabis Use As Links In The Pathway Between Childhood Maltreatment And Schizotypy, Brittany A. Blose

Theses

Childhood maltreatment (CM) is a risk factor for a number of psychiatric consequences, including many different mental disorders. Recent research has focused on the connection that CM has with schizotypy and how these adverse experiences during development contribute to symptomatology. Studies have demonstrated that peritraumatic dissociation experienced during CM and trait dissociative symptoms may indirectly affect the relationship between CM and schizotypic psychopathology, helping to elucidate this complex relationship. Moreover, research has indicated cannabis use, especially its use in adolescence, as a potential moderator in the CM-schizotypy relationship. That is, cannabis use further increases the risk that maltreated individuals will …

Cost Saving Proposal For Dubai Main Wastewater Pumping Stations, Mohammad Mansoor, Khaled Alhosani

Theses

A city that is free of hazardous chemical and pollution is a city with safe and healthy population. Keeping a city such as Dubai safe and healthy is a never ending task with too many stakeholders and too many variables. Examples are reducing carbon footprint, timely trash disposal, wastewater management, and the list goes on. Wastewater management is one of the most important and essential requirement for keeping the city and its people safe and healthy. There is an existing sewerage system that the emirate of Dubai continues to heavily rely on. The network includes the pipelines, the wastewater pump …

Intelligent Statcom Voltage Regulation Using Fuzzy Logic Control, Saleh Hussein

Theses

Reactive power compensation is a very important and challenging task in electrical power systems today. Future trends foreseen in power systems such as high interconnectivity and the integration of renewable energy resources produce even more issues related to power system control and stability. Flexible AC transmission systems are vastly used in power systems in order to mitigate several performance aspects found in typical power systems. One shunt connected device in particular, STATCOM, is very powerful and commonly used in voltage regulation at the power transmission level. STATCOM uses voltage sourced converters to inject or absorb reactive power from the power …