Digital Commons Network^™

Characterization Of The Kansas River Alluvial Aquifer Using Towed Transient Electromagnetic Geophysical Method, Jonathon Daniel Voss

Masters Theses

"Forecasted urban development areas west of Kansas City, Kansas in the coming decades has caused an increase of research into water resources (Butler et al. 2022). A location of investigation has been the Kansas River Alluvial Aquifer (KRAA) for shallow ground water resources. To investigate the KRAA structure and grain texture, the towed transient electromagnetic system (tTEM) in conjunction with direct push electrical conductivity logs and lithology wells were used to investigate four locations between Lawrence and Manhattan, Kansas. In total, 110 line-kilometers of tTEM data was collected. The tTEM data collected were high quality and through inversions of the …

Upa-Mediated Polyamidoamine Dendrimer-Based Targeted Gene Delivery System On Triple-Negative Breast Cancer, Hsin-Yin Chuang

Masters Theses

"Around 15% of breast cancers are triple-negative breast cancer (TNBC), which is characterized by the absence of three common receptors—ER, PR, and HER2, and therefore do not respond to hormonal or anti-HER2 therapies. It is urgent to explore targeted therapeutic strategies for TNBC due to its poor prognosis and rare effective targeted therapy. In this study, we developed a polyamidoamine (PAMAM) dendrimer-based targeted gene delivery system—GDP-uPA, to utilize urokinase-type plasminogen activator (uPA) to target uPA receptor (uPAR), which is highly expressed in both TNBC cells and cancer-associated stromal cells. Our results of 1H NMR spectrum, TEM imaging, and MTT assay …

Time Series Anomaly Detection Using Generative Adversarial Networks, Shyam Sundar Saravanan

Masters Theses

"Anomaly detection is widely used in network intrusion detection, autonomous driving, medical diagnosis, credit card frauds, etc. However, several key challenges remain open, such as lack of ground truth labels, presence of complex temporal patterns, and generalizing over different datasets. In this work, we propose TSI-GAN, an unsupervised anomaly detection model for time-series that can learn complex temporal patterns automatically and generalize well, i.e., no need for choosing dataset-specific parameters, making statistical assumptions about underlying data, or changing model architectures. To achieve these goals, we convert each input time-series into a sequence of 2D images using two encoding techniques with …

Evaluating The Influence Of Operator Practices On Hydraulic Shovel Productivity And Energy Consumption Using Telemetry Data, Noah Adekunle Aluko

Masters Theses

"Hydraulic shovels are increasingly being adopted in the mining industry, which is known for its significant energy consumption and carbon emissions. Technological improvements in hydraulic shovels aim at bolstering energy efficiency and productivity because of the drive to curb energy consumption and enhance energy efficiency. However, one aspect that is often overlooked is the vital role of operators. Although the influence of operators’ practices on excavators’ energy efficiency has been acknowledged in past studies, there is a paucity of quantitative research assessing this influence in the context of hydraulic shovels.

The main objectives of this study are to 1) develop …

A Binary Integer Linear Programming Model For Optimizing Underground Stope Layout, Theophilus Mensah

Masters Theses

"Underground mine planning engineers face significant challenges when determining what geometry provides the most profitable and safe stope for extraction. Several techniques and optimization algorithms have been developed in recent years, but most fail to find optimal solutions because they are heuristic or LP-based without efficient geometric constraints. This thesis work proposes a two-dimensional binary linear programming (BILP) model for determining the optimal combination of blocks in a stope that maximizes the economic value of the layout of stopes for a sublevel deposit. The work draws from Queyranne and Wolsey’s (2017 & 2018) formulations of tight constraints for bounded up/down …

Hysplit In Simulating The Atmospheric Dispersion Of Hazardous Aerosols: A Case Study In St. Louis, Missouri, Ahmet Tolga Odabasi

Masters Theses

"Atmospheric dispersion and transmission play an important role in the behavior and effects of air pollution. Human health can be adversely affected by air pollution in a variety of ways, both immediately and over time. The Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) modeling program, a computer model and software package, tracks the transport trajectories and distributions of air pollution and various pollutants, including radioactive pollutants, in the atmosphere. It also facilitates research on pollution sources. This study simulated the transport of hazardous aerosols in St. Louis region for the years 2020, 2021, and 2022 using the HYSPLIT modeling …

High Strain Rate Analysis Of 3d Printed Concrete As Compared To Conventionally Cast Concrete, Weston Mcleod Thomsen

Masters Theses

"3D Printed Concrete (3DPC) is a developing method of construction that has advantages over conventional methods, including formwork reduction, complex geometry, and expedited construction. This technology has potential benefits for the military when considering the austere environments that forward operating bases are built in. This study aims to assess 3DPC applications in protective structures that protect critical assets from explosive blasts. These protective structures experience a high-strain rate response during blast loading of the structure, and the effects of this have yet to be analyzed in the literature concerning 3DPC. With the lack of prior research, the focus here will …

Enabling Smart Healthcare Applications Through Visible Light Communication Networks, Jack Manhardt

Masters Theses

"Future smart healthcare operations are envisioned to require the support of high-performance wireless networks. Researchers are presented with a problem, however, as the hospital environment brings unique challenges to the application of traditional radio-frequency wireless communication networks due to health concerns and electromagnetic compatibility standards. To meet these challenges and support the advancement of high-quality healthcare, we propose the use of an alternative wireless technology in visible light communication (VLC). Contributing to the growing interest in VLC amongst researchers, we construct both a VLC network simulation testbed as well as real-world testbed to serve as a platform for the development …

Does Health Oriented Leadership And Access To On-Demand Mental Health Therapists Via Employee Assistance Programs Improve Employee Well-Being And Engagement?, Amber Rachelle Davis

Masters Theses

"Employee mental health effects are informally relevant in all facets of working adults’ lives. Considering the life-altering effects of the 2019 pandemic on work and society, mental health and work share applicability in conversations related to organizational outcomes. Based on the job demands-resource theory, personal demands are high in organizations where workers must adjust to returning to onsite work, in settings occupied by varying personalities, and ever-present political tension. These adjustments can be stressful for people and add new workplace challenges.

Work stress was found to be an antecedent for burnout (Tummers & Bakker, 2021), and leaders play an essential …

Open-Ended Hollow Coaxial Cable Resonance Sensing Via Permittivity Fluctuations For Applications To Exhaled Breath Health Monitoring, Peter Henry Holtmann

Masters Theses

"We report a pre-diagnostics breath analyzer based on the open-ended hollow coaxial cable resonator (OE-HCCR) to achieve real-time differentiation of healthy and compromised lung function through electromagnetic analysis of exhaled breath matter. A two-phase amplification scheme of electromagnetic signatures metered via the S11 phase curve offers high sensitivity to permittivity fluctuations in exposed airflow. The mathematical model of the breath analyzer is explained, followed by experimental validation of numerical findings from previous work. The collection of breath transient signals is performed through monitoring the reflected power magnitude and phase of the scattering parameter (S11) at the resonance frequency. Material fluctuations …

A New Proper Orthogonal Decomposition Method With Second Difference Quotients For The Wave Equation, Andrew Calvin Janes

Masters Theses

"Recently, researchers have investigated the relationship between proper orthogonal decomposition (POD), difference quotients (DQs), and pointwise in time error bounds for POD reduced order models of partial differential equations. In \cite {Sarahs}, a new approach to POD with DQs was developed that is more computationally efficient than the standard DQ POD approach and it also retains the guaranteed pointwise in time error bounds of the standard method. In this thesis, we extend the new DQ POD approach from \cite {Sarahs} to the case of second difference quotients (DDQs). Specifically, a new POD method utilizing DDQs and only one snapshot and …

The Deep Bsde Method, Daniel Kovach

Masters Theses

"The curse of dimensionality is the non-linear growth in computing time as the dimension of a problem increases. Using the Deep Backwards Stochastic Differential Equation (Deep BSDE) method developed in [HJE18], I approximate the solution at an initial time to a one-dimensional diffusion equation. Although we only approximate a one-dimensional equation, this method extends well to higher dimensions because it overcomes the curse of dimensionality by evaluating the given partial differential equation along "random characteristics''. In addition to the implementation, I also present most of the mathematical theory needed to understand this method"-- Abstract, p. iii

Simulation Of Lc Circuits In Cylindrical Photoemission Driven Cavities Using Coupled Monte Carlo And Particle-In-Cell Codes, Ravi Sanjay Shastri

Masters Theses

"This work presents a computational experiment simulating irradiation of gold in a cylindrical cavity. The full 3-D simulation with a B-Dot diagnostic is modeled, and a subset of the results are compared to modeling the system as a coupled anode/cathode (AK) gap and transmission line. The cavity is filled with N2 and Ne gasses at pressures ranging from vacuum to 1000 mTorr. Space-charge limited emission physics, electric discharge physics, LC circuit physics, and Monte-Carlo methods are explored.

The computation process happens in two steps. First, the electron emission material is irradiated with an input x-ray photon spectrum to produce a …

Dig Limits Optimization Using Binary Integer Linear Programming Method In Open Pit Mines, Hussam Naif Altalhi

Masters Theses

"Dig limits optimization is the process for classifying different materials (e.g., ore, stockpile material, and waste) into appropriately sized contiguous zones for open pit mining. The efficient determination of dig-limits is crucial for profitable and sustainable resource extraction in mining. Previous research has focused on defining dig-limits manually or using optimization approaches, but these methods are limited to only handling two material destinations (ore and waste). Thus, there is a need for operations research methods that consider the selectivity of mining equipment and can optimize dig-limits for metal mining operations with more than two material destinations. Consequently, the objective of …

Validation Of Athlet With Purdue University Multi-Dimensional Integral Test Assembly (Puma) Test, Emin Fatih Ozdem

Masters Theses

"Following the Three Mile Island Unit 2 (TMI-2) disaster, the development of a diagnostic system for emergency situations in a nuclear power plant was identified as an essential research area to strengthen the safety of nuclear power plants. A real-time estimation system of vital safety parameters on the main side of a PWR (Pressurized Water Reactor) facility was investigated since precise post-event scenario estimations are thought to be a crucial component of the diagnostic system. The alarm system of the plant can detect an SB-LOCA (Small Break Loss-Of-Coolant-Accident), but there were a couple of potential long-term transient occurrences. The accident …

A Network Of Low-Cost Multi-Pollutant Air Quality Sensors For Evaluating Fine-Scale Exposure Disparity In Twin Cities, Mn, P M Varuni Abhayaratne

Masters Theses

"Poor air quality is detrimental to health and is a leading environmental risk factor for early death globally. The massive scale of urbanization and population growth has led urban air quality to become a global concern as the release of air pollutants into the atmosphere continues to increase. Air quality has traditionally been monitored using reference-grade monitoring stations that are expensive and sparsely distributed. Low-cost sensors can complement existing regulatory networks to provide more spatial detail, capturing fine-scale variations. This study investigates spatiotemporal pollutant patterns, exposure disparities and environmental justice using data collected from a two-year (2019-2021) deployment of a …

Meta-Analysis Of Mesenchymal Stem Cell Gene Expression Data From Obese And Non-Obese Patients, Dakota William Shields

Masters Theses

"The prevalence of gene expression microarray datasets in public repositories gives opportunity to analyze biologically interesting datasets without running the laboratory aspect in house. Such experimentation is expensive in terms of finances, time, and expertise, which often results in low numbers of replicates. Meta-analysis techniques attempt to overcome issues due to few biological or technical replicates by combining separate experiments together to increase statistical power. Proper statistical considerations help to offset issues like simultaneous testing of thousands of genes, unintended hybridization, and other noises.

Microarrays contain light intensities from tens of thousands of hybridized probes giving a measure of gene …

Tailoring A System Engineering And Management Plan For A University Satellite Team, Jacob D. Anderson

Masters Theses

"A Systems Engineering and Management Plan (SEMP) helps enable a successful engineering project or team. All university teams working on satellite development encounter similar obstacles that are not commonly seen in industry. As a result, university teams must determine new approaches to solve these unique and difficult problems. A SEMP can mitigate risks, solve problems, and provide streamlined solutions. A modified SEMP is proposed along with guidance for implementing it into a new team and an existing team.

The adopted SEMP provides a road map for the technical execution and program management of a university team. The SEMP should be …

The Application Of Statistical Modeling To Identify Genetic Associations With Mild Traumatic Brain Injury Outcomes, Caroline Schott

Masters Theses

"Traumatic brain injury (TBI) is a growing health concern, with millions of TBI diagnoses in the United States each year. The vast majority of TBI diagnoses are mild traumatic brain injuries (mTBI), which can be challenging to manage due to variation in symptoms and outcomes. Most individuals with mTBI successfully recover quickly, but a small subset has a delayed recovery. Although the factors that contribute to this variation in recovery are not clearly understood, it is possible that genetic differences may play a role. Very few studies have investigated the association between single nucleotide polymorphisms (SNPs) with mTBI outcomes and …

Application Of Nitrate To An Anaerobic Subsurface Bioremediation, Cassie Marie Roberts

Masters Theses

"The highly contaminated subsurface matrix of the Baird and McGuire Superfund site is currently threatening the health and safety of the surrounding environment of Holbrook, MA. Contaminants of significant concern due to high concentration are inorganic arsenite and petroleum hydrocarbons, such as naphthalene. Parsons Corporation and the Massachusetts Department of Environmental Protection have implemented a bioremediation pilot to attempt to degrade the hydrocarbons and arsenic with the application of nitrate. The nitrate would act as an electron acceptor for biodegradation of the hydrocarbon contaminants, produce nitrite that would oxidize reduced iron, and iron oxides would sequester arsenic. Preliminary data showed …

Sentiment Strength And Topic Recognition In Sentiment Analysis, Esi A.R. Adeborna

Masters Theses

"Current sentiment analysis methods focus on determining the sentiment polarities (negative, neutral or positive) in users’ sentiments. However, in order to correctly classify users’ sentiments into their right polarities, the strengths of these sentiments must be considered. In addition to classifying users’ sentiments into their correct polarities, it is important to determine the sources and topics under which users’ sentiments fall. Sentiment strength helps as to understand the levels of customer satisfaction toward products and services. Sentiment topics on the other hand, helps to determine the specific product/service areas associated with user sentiments. This paper proposes two sentiment analysis approaches. …

Scalable And Continuous Fabrication Of Dendrimer Based Gene And Protein Delivery Systems, Joseph Johnston

Masters Theses

"Gene and protein therapeutics play critical roles in the drug market and represent the future of biopharmaceuticals. Polymeric nanoparticle-based gene/protein delivery systems are promising owing to their ability to protect the cargo from degradation, improving intracellular delivery and transfection efficiency as well as abundant sources and flexibility to be modified. Yet the successful industrialized production and clinical application of polymeric nanoparticle-based delivery systems have long been limited by unsatisfied delivery efficiency and the lack of reproducible and scalable methods for the preparation of uniform nanoparticles with good batch to batch consistency. To address the unsatisfied efficacy and difficulty in scale-up …

Prediction And Root-Cause Analysis For Smart Speaker Intentional Electromagnetic Interference Attacks, Tanner Fokkens

Masters Theses

"Smart home and Internet of Things (IoT) devices have become ubiquitous in homes over the past decade. The smart speaker itself is often the device that interfaces all these devices together. Because of this, the smart speaker can become a point of attack for someone trying to exploit or hack into the smart home devices. In the past few years, it was discovered that smart speakers with microwave electromechanical system (MEMS) microphones are susceptible to intentional electromagnetic interference (I-EMI) attacks by modulating an audio command to a high-frequency carrier signal. This attack allows for command recognition for long-distances and smart …

A Hybrid Framework For Critical Infrastructures Interdependency Modeling, Simulation, And Analysis, David Corder Hinton

Masters Theses

"Flow system models, also known as flow network models, encompass vastly complex, ever-expanding problem sets which comprise the foundation for maintenance, operation, and improvement of critical infrastructures around the world. The stable operation of these vast critical infrastructures is fundamental to the continued advancement of modern society. These infrastructures are tightly interdependent and vulnerable to interruption by both natural circumstance and malicious targeting. This necessitates representation of such critical infrastructures and their multi-domain interdependencies in defense focused constructive and virtual simulation environments as a matter of national interest and security. By breadth exploration of the problem space, this work body …

Designing Exterior Lighting For Safety And Comfort While Minimizing Light Pollution, Energy Consumption, And Cost, Stephen Michael Simmons

Masters Theses

"Artificial light at night brings many benefits to society. However, these benefits do not come without costs. One environmental issue that is often overlooked in the design of public spaces and infrastructure is light pollution. At the expense of large amounts of energy, light pollution causes numerous harmful effects on human health, ecosystems, and the night sky. Today, the problem is becoming more widespread, especially with the increasing use of bright, white LED luminaires. Thus, it is imperative for designers and engineers to create smarter lighting designs that not only allow for safety and comfort at night but also promote …

Tropospheric Correction For Insar Using Machine Learning, Ngo Hi Kenny Yue

Masters Theses

"Interferometric Synthetic Aperture Radar (InSAR) is a popular technique for studying Earth's surface deformation caused by phenomena like earthquakes and subsidence. However, its accuracy is limited by tropospheric delays caused by water vapor in the atmosphere. This limitation can be overcome by using methods that correct for tropospheric noise, such as statistical, empirical, and predictive approaches. This study explores the potential of using machine learning algorithms to predict the zenith total delay caused by tropospheric effects in InSAR measurements. The study employs two different machine learning algorithms, random forest and neural networks, to learn the relationship between numerical weather prediction …

Optimizing The Placement Of Multiple Uav--Lidar Units Under Road Priority And Resolution Requirements, Zachary Michael Osterwisch

Masters Theses

"Real-time road traffic information is crucial for intelligent transportation systems (ITS) applications, like traffic navigation or emergency response management, but acquiring such data is tremendously challenging in practice because of the high costs and inefficient placement of sensors. Some modern ITS applications contribute to this problem by equipping vehicles with multiple light detection and ranging (LiDAR) sensors, which are expensive and gather data inefficiently; one solution that avoids vehicle-mounted LiDAR acquisition has been to install elevated LiDAR instruments along roadways, but this approach remains unrefined. The eventual development of sixth-generation (6G) wireless communication will enable new, creative solutions to solve …

Selecting Consolidation Procedures For Making Concrete Specimens, Paige Marie Toebben

Masters Theses

"The goal of this research was to reevaluate ASTM C31 Standard Practice for Making and Curing Concrete Test Specimens in the Field, as well as deepen our understanding of the relationship between the consolidation process, concrete composition, and workability. An improved understanding of this area will help to reduce variability in concrete quality. The project involved evaluating the effect of different consolidation methods on concrete specimens with changing levels of workability. To do this, concrete cylinders were created with varying viscosities by adjusting the water-to-cement ratio (w/c) and water-reducing agent. More cylinders were created with varying paste volumes while keeping …

Zoom Fatigue And Virtual Interviewing: The Effects Of Interpersonal Distance, Lillian Rose Schell

Masters Theses

"This research examines breaches of interpersonal distance, one of the proposed causes of Zoom fatigue, within the context of a job interview. It is proposed that when an interviewer perceives a job applicant to be close to them, Zoom fatigue increases and ratings of the applicant decrease. Participants completed a Zoom Exhaustion and Fatigue scale before and after watching an asynchronous video interview in which the size of the job applicant’s face varied between conditions. It was found that breaches of interpersonal distance did not influence self-reported Zoom fatigue. However, breaches of interpersonal distance did influence ratings of the job …

Mat: Genetic Algorithms Based Multi-Objective Adversarial Attack On Multi-Task Deep Neural Networks, Nikola Andric

Masters Theses

"Vulnerability to adversarial attacks is a recognized deficiency of not only deep neural networks (DNNs) but also multi-task deep neural networks (MT-DNNs) that attracted much attention in the past few years. To the best of our knowledge, all multi-task deep neural network adversarial attacks currently present in the literature are non-targeted attacks that use gradient descent to optimize a single loss function generated by aggregating all loss functions into one. On the contrary, targeted attacks are sometimes preferred since they give more control over the attack. Hence, this paper proposes a novel targeted multi-objective adversarial ATtack (MAT) based on genetic …