Digital Commons Network^™

Lidar Voxel Segmentation Using 3d Convolutional Neural Networks, Yuval H. Levental

Theses

Light detection and ranging (lidar) forest models are important for studying forest composition in great detail, and for tracking objects in the understory. In this study we used DIRSIG, a first-principles and physics-based simulation tool, to turn the lidar data into voxels, towards classifying forest voxel types. A voxel is a 3D cube where the dimension represents a certain distance. These voxels are split into categories consisting of background, leaf, bark, ground, and object elements. Voxel content is then predicted from the provided simulated and real National Ecological Observation Network (NEON) data. The inputs are 3D neighborhood cubes which surround …

Development And Validation Of Epidemiological Models For Informing Intervention Strategies And Preventing Critical Resource Shortages, Kimberly A. Dautel

Theses

Epidemiological models have been used to measure, understand, and respond to infectious disease outbreaks. Both model development and model validation are important when utilizing models to help inform public health responses. The goal of this work is to advance mathematical modeling efforts of infectious diseases of current worldwide importance through model development and validation. The model development portion focuses on modeling interventions strategies for two infectious diseases. The first model formulated captures education campaign as the collective effort aimed at educating the public about the nature of the Ebola virus, its transmission routes, and the importance of early detection and …

Cast Iron Repair Through Directed Energy Deposition And Ancillary Processing Modes, Jakob D. Hamilton

Theses

A cast iron repair process that restores above 80% of the original tensile strength without thermal pre-conditioning is presented. Cast iron, an integral alloy to transportation and agricultural sectors, is a difficult alloy to repair owing to the presence of discrete graphite flakes and the tendency to form brittle iron-carbide phases and porosity. Preheating and post-process annealing assist in preventing premature fracturing but are economically and environmentally impractical for large castings. Thus, methods that circumvent these limitations while avoiding defect formation are crucial. Laser-based directed energy deposition (DED) offers a highly controllable method of remanufacturing cast iron and high carbon …

Inter-Procedural Program Synthesis For Automatic Architectural Tactic Implementation, Ali Shokri

Theses

Software architectural tactics are design decisions made by software architects to address important quality attributes of software systems such as security, availability, and reliability. Software developers incorporate API of software frameworks, as building blocks, for implementing architectural tactics in a software system to achieve the mentioned quality attributes. The correct implementation of such tactics is a challenging and error-prone task, especially for novice programmers. Component-based program synthesis aims to help such programmers by automatically constructing a code snippet from a given set of components, e.g., APIs, as well as the specification of the desired code. However, despite the advances in …

An Evolutionary Comparative Study Of Congenital Stationary Night Blindness-Associated Trpm1 Genetic Variants Of Uncertain Significance In Horses And Humans Utilizing Caenorhabditis Elegans, Gabrielle Davis

Theses

Congenital stationary night blindness (CSNB) is a heterogeneous collection of genetic diseases affecting the eyes and vision in horses and humans. Current research has implicated several genetic mutations impacting different genes involved in phototransduction and signal transmission, including TRPM1. In horses, genetic mutations in TRPM1 also result in a leopard spotting pattern or leopard complex. The goal of this study is to examine the potential impact of CSNB associated TRPM1 missense variants of uncertain significance (VUS). Previous research in Caenorhabditis elegans have revealed an orthologous TRPM1 gene known as gon-2 that allows for comparative studies. The evolutionary relationship of …

Characterization Of Antimicrobial Properties Of Excrement And Functional Microbiome Of Black Vultures (Coragyps Atratus), Bridgette Gray

Theses

Black vultures, Coragyps atratus, are obligate scavenging birds that consume and dispose of decaying carcasses and carrion. They fulfill a key ecological niche in the environments in which they live. It has been observed that these vultures sometimes excrete bodily waste onto their legs. This adaptive behavior could help aid them in controlling bacteria and other microbes they encounter while stepping into a carcass to eat. This study directly examined the antimicrobial properties of the excrement of black vultures across various bacterial species utilizing a zone of inhibition test and a nematode species utilizing a survival assay. The black vulture …

An Effective Heuristic To Reduce Total Flowtime For Randomly-Structured Flowshop Problems, Arun John Abraham

Theses

We propose a heuristic to reduce total flowtime in a six-job, four-machine permutation flowshop scheduling problem. This work contributes to the prolific research efforts reported in the permutation flowshop scheduling problem (PFSP).

The heuristic was applied to 102 randomly structured flowshop scheduling problems, with job processing times generated using an integer uniform distribution in the interval [1,100]. The results of computational experiments were deemed satisfactory after being evaluated by using the ordinal and percentile ranks of the resulting total flowtime for the six jobs.

Generating Adversarial Malware Examples Using Particle Swarm Optimization, Sirapat Thianphan

Theses

Adversaries develop adversarial malware examples that are designed to evade detection systems, which can significantly decrease the performance of malware classifiers. To defend against adversarial malware examples, a technique called adversarial training is implemented by additionally train the detection models with adversarial examples, making the models more robust to such attacks. This thesis discusses an approach to generating adversarial examples using Particle Swarm Optimization (PSO). We explore a technique called AdversarialPSO proposed by Rayan Mosli [1], which crafts adversarial malware examples by replacing API calls with alternative APIs that have equivalent functionality leveraging PSO to navigate substitutions. In this thesis, …

Applying Homomorphic Encryption To A Cross Domain Problem, Cheyenne Dailey

Theses

The Cross Domain Problem (CDP) strives to ensure protected data transference across varying security domains. In order to accomplish this, a Cross Domain Solution (CDS) is needed. A common method to protect data is to focus on risk management between trusted parties; however, untrusted parties pose ongoing concern. The problem is determining a method that transfers classified data through various security domains without exposing any information to intermediary parties. Attempts to mitigate this problem have been made utilizing Homomorphic Encryption (HE), a type of encryption that allows for computations to be executed on encrypted data without needing to decrypt it. …

Continual Domain Adaptation Through Knowledge Distillation, Georgi Thomas

Theses

Domain Adaptation (DA) techniques aim to overcome the domain shift between a source domain used for training and the target domain used for testing and deployment. Domain adaptation methods assume the entire target domain is accessible during the adaptation process. We use efficient architectures in the continual data-constrained DA paradigm where the unlabeled data in the target domain is received continually in batches. In recent years, Vision Transformers have emerged as an alternative to traditional Convolutional Neural Networks (CNNs) as the feature extraction backbone for image classification and other computer vision tasks. Within the field of DA, these attention-based architectures …

Diffractive Light And Solar Sails, Prateek Ranjan Srivastava

Theses

In the realm of space exploration, humanity has achieved remarkable feats like landing humans on the moon. However, our progress in venturing beyond our solar system has been limited. Light sails, which utilize photon momentum from laser or solar radiation, o↵er a promising propulsion technology. Unlike traditional rockets, light sails carry no fuel and can achieve high velocities and precise orbital maneuvers. In this research, we propose using an elementary space variant di↵ractive film to design passively stable light sails propelled by laser radiation. We also explore applying this concept to solar sails, enabling spiral trajectories and high orbital inclination …

A Privacy Safeguarding Framework For The Smart Grid, Gaurav Shivaji Wagh

Theses

The smart grid is an outcome of integrating communication technologies with traditional electrical systems. This enables the collection of granular metering data from the customer domain for providing grid and billing functionalities. However, the data collection process exposes the grid to various cyberattacks, posing a significant threat to customer privacy. This is a critical concern for the smart grid community and has hindered the global adoption of the smart grid technology. Although aggregation-based frameworks show promise for sharing metering data with the Electrical Service Provider while maintaining customer privacy, existing aggregation-based frameworks have several limitations. Some of these limitations include …

Electromagnetic Signatures Of An Analytical Mini-Disk Model Of Supermassive Binary Black Hole Systems, Kaitlyn Porter

Theses

Supermassive black holes (SMBHs) are thought to be located at the centers of most galactic nuclei. When galaxies merge they form supermassive black hole binary (SMBHB) systems and these central SMBHs will also merge at later times, producing gravitational waves (GWs). Galaxy mergers are gas rich environments and there is likely to be matter surrounding the binary system as well as accreting onto the individual black holes. Therefore, SMBHBs are potential sources of electromagnetic (EM) radiation. The EM signatures depend on gas dynamics, orbital dynamics, and radiation processes. The gas dynamics are governed by general relativistic magnetohydrodynamics in a time-dependent …

Using The Hirota Method To Investigate The Integrability And New Exact Solutions Of The Non-Autonomous Nonlinear Schrodinger Equation, Islam Majed Albazlamit

Theses

In this thesis research, we investigate the existence of Hirota bilinear systems for the non-autonomous nonlinear Schrodinger equation (NLSE) with position- and time-dependent coefficients and external potentials. To that end, we employ a semi-analytical systematic method that employs some exact solutions. The Hirota bilinear system is then employed to derive new solutions to the same nonlinear differential equation. We have applied this approach to a number of different versions of NLSEs to find that each family of solutions shares the same Hirota bilinear system. Furthermore, properties of solutions such as stability are investigated.

Preparation Of Copper Oxide Nano-Architectures For Fog Harvesting Applications, Ola M. Abu Draz

Theses

The issue of limited freshwater resources is a significant problem for humans, especially in desert areas where water scarcity poses a serious risk to human survival. In nature, there are several species that harvest fog based on their tuned surface structure, e.g.., Cactus, desert beetles, etc. In addition to surface hydrophilic/hydrophobic architecture, another key factor in effective water collection is the porosity of the surface, which helps droplets to form, grow, and be removed. To address the challenge of water scarcity, we inspired, from nature, to design surfaces that have features that favor water collection. In this aspect, we introduced …

A Magneto-Thermally Controllable Microstrip-Patch Antenna For Low Rcs Applications, Sallam Mohammad Al Hendi

Theses

This research focuses on the development of a novel technique for reducing the Radar Cross Section (RCS) of a microstrip antenna operating in the terahertz spectral regime. This can be accomplished by loading the antenna with Indium Antimonide (InSb); a thermally-magnetically controllable semi-conductor. The low-RCS feature of the antenna implies that it becomes hardly detectable by detecting radars; a desired feature in stealthy applications. For an optimal operation beside low RCS, the other antenna parameters (e.g., radiated power, gain, standing-wave ratio, and reflection coefficient) must be within tolerable ranges. Thus, a study on the effects of the temperature and the …

Digital Transformation In Local Governments: A Case Study Of Abu Dhabi Municipality Transport Department, Alia Sahmi Al Ahbabi

Theses

The new generation is rapidly adapting to the digital era, where government and private services are being transformed into electronic services, commonly known as Eservices. Cities are leveraging digitalization to streamline their business processes and business services. This digitalization has improved service delivery time and quality for individuals. With digitalization, business processes align with technology, enhancing performance and customer satisfaction. However, there are challenges associated with digitalization, particularly people working in various municipality departments who find it challenging to adapt to digitization. Employees may take time to adjust to the new techniques and technologies, which may hamper the actions of …

Design Modular Command And Data Handling Subsystem Hardware Architectures, Abdullah Alsalmani

Theses

Over the past few years, On-Board Computing Systems for satellites have been facing a limited level of modularity. Modularity is the ability to reuse and reconstruct the system from a set of predesigned units, with minimal additional engineering effort. CDHS hardware systems currently available have a limited ability to scale with mission needs. This thesis addresses the integration of smaller form factor CDHS modules used for nanosatellites with the larger counterparts that are used for larger missions. In particular, the thesis discusses the interfacing between Modular Computer Systems based on Open Standard commonly used in large spacecrafts and PC/104 used …

Cloud Tracking Winds On Mars Using Emm-Exi Imaging, Shaimaa Ahmed Alblooki

Theses

The Martian atmospheric wind structure is a major unknown in our understanding of Mars’ climate because it is difficult to measure wind remotely. The Emirates eXploration Imager (EXI) instrument on board the Emirates Mars Mission (EMM) takes visible and ultraviolet images of the whole hemisphere of the planet at a time, and can capture complete weather systems at once, along with their evolution over time. This project uses EXI 320 nm observations to measure winds on Mars using Correlation Imaging Velocimetry (CIV), a cloud tracking method based on software developed for laboratory fluid dynamics experiments, and with significant heritage in …

Understanding The Intracellular Positive Regulatory Interactions In The Metabolic Network, Sultana Mohammed Al Zubaidi

Theses

Metabolism is an essential cellular process that produces essential components such as energy molecules and cellular building blocks. It is regulated by intracellular metabolite-enzyme interactions, which can increase or decrease enzyme efficiency. Each metabolic process is not evolved in nature and may not contribute to the optimal efficiency of the organism's metabolism. However, this study aims to clarify the relationship between cellular positive regulatory interactions and the cell's metabolic network, especially how these relationships regulate metabolism and how it evolved in nature. To obtain that, for each enzyme, the activation molecules from the BRENDA database were downloaded, mapped data to …

Fog Harvesting Using Chemically Functionalized Porous Membranes, Afra Saif Alhumaidi

Theses

This work explores the use of chemically functionalized porous membranes for fog harvesting. Fog water has emerged as a valuable alternative water source in regions where traditional freshwater resources are scarce. However, conventional fog harvesting techniques often suffer from low collection efficiency and limited scalability. To address these challenges, this research investigates the potential of chemically functionalized porous membranes for enhanced fog water collection. The study focuses on the development and characterization of specialized membranes with surface properties optimized for efficient fog droplet capture.
/="/">The current study proposes the use of aluminum mesh for fog collection, as it stands …

An Efficient Strategy For Deploying Deception Technology, Noora Abdulla Alhosani

Theses

Implementations of deception technology is crucial in discovering attacks by creating a controlled and monitored environment for detecting malicious activity. This technology involves the deployment of decoys, traps, and honeypots that mimic natural systems and network assets to attract and identify attackers. The use of deception technology provides an early warning system for detecting cyber-attacks, allowing organizations to respond quickly and mitigate damage. This article proposed a framework that focuses on maximizing the efficiency of deception technology in detecting sophisticated attacks. The framework employs multi-layered deception techniques at various levels of the network, system, and application to provide comprehensive coverage …

Thermohydraulic Performance Of 3d Printed Metal Heat Exchanger With Zig-Zag Minichannels, Aysha Rashed Alshamsi

Theses

This work proposes using zig-zag minichannels in heat exchangers for enhancing its performance while operating under balanced (heat capacity ratio of unity) and unbalanced flow (heat capacity ratio of 0.5) conditions for counter flow and parallel flow configurations. The performance of the heat exchangers is quantified in terms of effectiveness and pressure drops and studies are done for hot fluid Reynolds number ranging from 50 to 1500. This work employs a numerical study to investigate the performance of the heat exchanger with zig-zag minichannels.
/="/">Simulation is carried out using Fluent module of Ansys Workbench. The model used for simulation …

Fabrication, Characterization And Analytical Applications Of Planar Solid Metal And Planar Cavity Electrodes, Fatima Salmeen Alnuaimi

Theses

The present thesis describes the design, construction, and applications of a versatile flow cell (VFC) for used with different types of planar working electrodes. These included the commercially available planar 3-electrode screen-printed electrode chips (SPECs), custom planar metallic electrodes (PMEs), and cavity-type electrodes (CTEs). The PMEs are fabricated from platinum, titanium, stainless steel and copper rods inserted in a rectangular-PEEK housing, respectively. The dimensions of the PEEK blocks were 13.5 mm width x 39 mm length x 12.5 mm height. The VFC was constructed from a cell cover and base machined from acrylic sheets. The cover incorporated a built-in Ag/AgCl/Cl …

Bright Light Therapy And Depression: Assessing Suitability Using Entrainment Maps, Charles A. Mainwaring

Theses

Bright Light Therapy has been shown to be efficacious to mood disorders including Major Depression. Researchers use the Jewett-Forger-Kronauer model of the circadian rhythm with the Unified Model of melatonin including a mathematical term implementing feedback from the melatonin system into the circadian system to quantify the effects of bright light. Early investigations into intrinsic period, light sensitivity, and the circadian pacemaker's sensitivity to blood melatonin concentration may be indicators of subsets of patients with long intrinsic periods exhibiting symptoms of depression.

A Computational Study Of Adsorptive Desulfurization In Metal Organic Frameworks, Kyle Concha

Theses

Fossil fuel usage has been related to several concerns about the environment and human health. One of these concerns is related to fuels containing Organic Sulfur Compounds (OSCs) which upon burning produce hazardous compounds such as SO₂ which contributes to acid rain and affects respiratory health. Removal of these OSCs is an important field of study as it can prevent the production of SO_x compounds. One technique to remove OSCs is Adsorptive Desulfurization (ADS) in which Metal Organic Frameworks (MOFs) are potential candidates to be used as adsorbents. Two archetypal MOFs, HKUST-1 and Cu₃HHTP₂, …

A Survey On Online Matching And Ad Allocation, Ryan Lee

Theses

One of the classical problems in graph theory is matching. Given an undirected graph, find a matching which is a set of edges without common vertices. In 1990s, Richard Karp, Umesh Vazirani, and Vijay Vazirani would be the first computer scientists to use matchings for online algorithms [8]. In our domain, an online algorithm operates in the online setting where a bipartite graph is given. On one side of the graph there is a set of advertisers and on the other side we have a set of impressions. During the online phase, multiple impressions will arrive and the objective of …

Emergent Properties Of Cells And Tissues In Health And Disease, Pancy T. Lwin

Theses

This dissertation uses statistical physics based mathematical models to investigate and predict the emergent properties of biological systems in both healthy and diseased states. Three projects are presented, each exploring a different aspect of biological systems. The first project focuses on modeling cartilage-like tissue systems as a double network consisting of two interconnected networks. By using rigidity percolation theory, we study the tunable mechanics and fracture resistance of such biological tissues in healthy and degraded states. Our findings show that the secondary network density can be tuned to facilitate stress relaxation, leading to robust tissue properties when the primary network …

Shipment Containers Tracking Optimization Using Machine Learning, Omran Al-Ali

Theses

The container tracking data is crucial for the effective management of supply chains. In

this report, we analyze container tracking data to identify areas for improvement in supply chain operations. Our study aims to provide insights into the factors affecting container movements,

identify areas where delays and bottlenecks occur, and suggest ways to optimize operations. The supply chain is a complex system involving multiple parties, including shippers,

freight forwarders, carriers, ports, and customs agencies. The timely delivery of goods is critical for maintaining customer satisfaction and reducing costs. Therefore, it is essential to have a robust tracking system that enables …

Study To Improve The Employee Experiences And Reducing The Employee Attrition, Mahra Essa Mohammed Belarai Alfalasi

Theses

Employee attrition is a significant issue that occurs in every company today, regardless of external environment changes. According to the definition of attrition, the number of employees gradually decreases due to retirement, death, and resignations (Marais, 2022). Attrition can occur when a well-trained and well-adjusted talented person leaves the company for any reason, leaving a gap in the workplace (BasuMallick, 2021). It is extremely difficult for HR employees to fill the gap that has been created. For today's managers, minimizing turnover rates is a major concern, and modern HR managers do this in several ways, the employee's decision was motivated …