Digital Commons Network^™

Physical Controls On The Hydrology Of Perennially Ice-Covered Lakes, Taylor Valley, Antarctica (1996-2013), J. M. Cross, Andrew G. Fountain, M. J. Hoffman, M. K. Obryk

Geology Faculty Publications and Presentations

The McMurdo Dry Valleys, Antarctica, are a polar desert populated with numerous closed-watershed, perennially ice-covered lakes primarily fed by glacial melt. Lake levels have varied by as much as 8 m since 1972 and are currently rising after a decade of decreasing. Precipitation falls as snow, so lake hydrology is dominated by energy available to melt glacier ice and to sublimate lake ice. To understand the energy and hydrologic controls on lake level changes and to explain the variability between neighboring lakes, only a few kilometers apart, we model the hydrology for the three largest lakes in Taylor Valley. We …

A Geographic Segmentation Approach For Satellite-Derived Bathymetry, Juliane Jussara Affonso

Master's Theses and Capstones

Safety of navigation depends on our knowledge of seabed and its features, and, as such, any improvements in deriving bathymetry for nautical chart updating are of major importance. Satellite-Derived Bathymetry (SDB) is an alternative to traditional surveys using ship and airborne sensors, particularly for mapping remote and shallow areas, due to its reduced cost and the absence of navigational risks in very shallow and unsurveyed areas. However, the accuracy of SDB can be judged as relatively low for nautical charting purposes and, therefore, is mostly used for reconnaissance or/and for filling gaps in remote or very shallow areas. One of …

Implementing A Reference Backscatter Calibration Technique On A Multi-Sector Multibeam Echosounder, Rui Miguel Aleixo Miguel Cândido

Master's Theses and Capstones

Increasingly, national hydrographic agencies are committing to routine acquisition of seabed backscatter strength estimates from multibeam echosounders (MBES) as part of national programs for seabed characterization. As part of their bathymetric survey mandate, these agencies have a long history of sounding quality control utilizing absolute and relative calibration (reference surfaces and crossover comparisons). Equivalent quality control is, however, not yet in place for managing seabed backscatter strength measurements, as the majority of the collected data is not absolutely referenced.Herein, a new technique for cross-calibrating a MBES with a reference calibrated split beam echosounder (SBES) was implemented. Broadband reference bottom backscatter …

Perceived Gender Discrimination In The United States Air Force, Linzi Gail Eppinger

Master's Theses and Capstones

While the existence of gender discrimination in the Air Force is well known, previous research had not examined how active-duty Air Force members define gender discrimination and how service members differentiate instances of gender discrimination from gender-based harassment. This study drew on qualitative interviews with 25 Air Force service members to provide a rich account of their perceptions of discrimination and harassment. From this research, several common attributes of gender discrimination became clear. Active-duty Air Force women were more aware of instances of gender discrimination than men, participants perceived being a gender minority in the workplace is a risk factor …

Reccurent Neural Network For The Detection Of Odontocetes, Christopher Michael Foster

Master's Theses and Capstones

This research project explores the ability of a Recurrent Neural Network to detect Odontocetecalls. With the current degree of climate change impacting the planet, being able to better track and locate highly mobile endangered species is imperative. An example of such a species is the Sperm Whale, which is listed as endangered under the United States Endangered Species Act, that migrate annually and have a range that extends through all the world’s oceans. Current methods of detection require a great deal of manual interaction and skill on behalf of the identifier. Automating this process would enable easier tracking and aid …

Examining The Perceived Benefits Of A Career Course For English-Speaking First-Generation Hispanic And Latino Students, David Benjamin Mason

Electronic Theses and Dissertations

The problem that provoked this research is the incessant, declining retention, completion, and transfer rates among English-speaking, first-generation Hispanic and Latino students. Educational institutions continue to increase services, improve academic programs, enhance curriculum design, integrate technology, and consider alternative career paths to success with marginal to no improvement. The purpose of this study was to determine the perceived benefits of English-speaking, first-generation Hispanic and Latino students who participated in a career course instructed by a career professional compared to a course instructed by an academic adjunct faculty member. Developing one’s career remains a vital aspect of the college experience, and …

Deliberately Developmental Leadership In Organizational Settings, Glenn Allen Nixon

Electronic Theses and Dissertations

The purpose of this qualitative study was to investigate leadership development strategies in organizations in North Texas needed to create prepared, competent leaders who can become and help create deliberately developmental leaders. Open-ended and semistructured interviews were used to collect data, with questions centered on effective leadership development strategies for creating competent leaders and effective leadership strategies for creating deliberately developmental leaders. The idea was to understand if organization’s leadership focused on the need for leadership development, if organizational members were being identified for leadership, and if systems exist to address future organizational leadership needs. Three types of organizations were …

Fitting Solar Panel Brdf Parameters To Out-Of-Plane Empirical Data, Michael R. Gross

Theses and Dissertations

The bidirectional reflectance distribution function (BRDF) describes material reflectance by describing how incident irradiance reflects into all possible scatter angles as a function of incident angle. However, a solar panel has unique features that are not featured in any of these previously known models. A previous project at the Air Force Institute of Technology (AFIT) created a novel microfacet-like BRDF to model a solar panel with a prominent diffractive feature present which had not been previously modeled. This BRDF was coded into MATLAB for modeling purposes and C++ to test its speed with a MEX function call. A previous thesis …

Evaluating Deep Learning Explanations On Risc-V Assembly As A Reverse Engineering Aid, Daniel F. Koranek

Theses and Dissertations

This dissertation addresses several problems surrounding the detection of malware using deep learning models trained on assembly language examples. First, it examines the feasibility of detecting examples of malice using deep learning models trained on RISC-V instruction traces. Next, it examines whether models for detecting trace features and code features in RISC-V assembly can be made explainable (providing rationale for a model’s decision based upon the model’s internal workings) or interpretable (providing additional rationale as model output to support a human’s agreement with the model output). Third, this work examines ways in which it is possible to give additional contextual …

Analysis Of Propeller Designs Focusing On Lowering Sound Pressure Level Through Reduced Tip Loading, Luca A. Zeitvogel

Theses and Dissertations

This research focused on potential design optimizations for small propellers. Designs sought to reduce noise generated without sacrificing efficiency by “unloading” the propeller tip by reducing angle of attack near the tip. To see if nearfield performance improvements translated to a reduction in farfield sound pressure level, farfield experimental acoustic testing was performed on propellers that had been measured experimentally in the nearfield. The farfield results provided limited insight due to an equipment malfunction during testing. However, a large data set was obtained, which provides opportunities for future analyses. A computational simulation sought to recreate some of the nearfield experiments …

Terry Auten, Oral History Interview, 2022, Miaire An’Jané Price, Matt Jones

Oral Histories

In the Fall of 2022, Matt Jones’s Oral History Techniques class conducted a set of interviews documenting the stories behind the student unrest on Eastern Michigan University’s campus from 1966-1972. Terry Auten was a student at EMU during the late 1960s and early 1970s who travelled to the National Student Conference on Vietnam, held at Cornell University and brought back to EMU his perspective on the War and increased student activism on campus.

Digital Fluoroscopic Navigation For Limb Length Restoration During Anterior Total Hip Arthroplasty, Robert O'Leary, Anshul Saxena, William Arguelles, Yvette Hernandez, Chukwuemeka Osondu, Juan Suarez

All Publications

Background

Restoration of limb length is important in total hip arthroplasty. Clinical evaluation and preoperative templating establish the intended lengthening. The purpose of this study was to assess whether digital fluoroscopic navigation (DF) improved the accuracy of planned lengthening in direct anterior approach total hip arthroplasty (DAA-THA).

Methods

Planned lengthening measurements on 100 consecutive unilateral DAA-THA patients, along with patient characteristics, were prospectively collected by 2 surgeons. One surgeon utilized DF to achieve intended length (n = 50), while the other utilized unaided standard fluoroscopy (SF; n = 50). A third surgeon blinded to the procedures assessed actual limb …

Alzheimer’S Detection With The Discrete Wavelet Transform And Convolutional Neural Networks, Melissa N. Nardone

Master's Theses

Alzheimer’s disease slowly destroys an individual’s memory, and it is estimated to impact more than 5.5 million Americans. Over time, Alzheimer’s disease can cause behavior and personality changes. Current diagnosis techniques are challenging because individuals may show no clinical signs of the disease in the initial stages. As of today, there is no cure for Alzheimer’s. Therefore, symptom management is key, and it is critical that Alzheimer’s is detected early before major cognitive damage.

The approach implemented in this thesis explores the idea of using the Discrete Wavelet Transform (DWT) and Convolutional Neural Networks (CNN) for Alzheimer’s detection. The neural …

Beef Bull Selection And Management Affecting Breeding Season Outcomes For California Cattle Producers On Rangelands, Megan Banwarth

Master's Theses

California’s approximately 660,000 head of beef cattle are highly dependent on range bulls used to produce offspring that can perform across the state’s diverse ecological regions. While knowledge of bull breeding behavior and the technology used to monitor cattle movement and behavior is critical to maximize conception rates and the overall efficiency in natural service sires on rangelands. Bulls need to be functional on rugged coastal landscapes, rolling foothills, deserts, and in high-elevation terrain. Few data exist that indicate factors related to selection, maintenance, and longevity of bulls used in rangeland landscapes. Objectives herein, were to assess factors influencing bull …

Panodepth – Panoramic Monocular Depth Perception Model And Framework, Adley K. Wong

Master's Theses

Depth perception has become a heavily researched area as companies and researchers are striving towards the development of self-driving cars. Self-driving cars rely on perceiving the surrounding area, which heavily depends on technology capable of providing the system with depth perception capabilities. In this paper, we explore developing a single camera (monocular) depth prediction model that is trained on panoramic depth images. Our model makes novel use of transfer learning efficient encoder models, pre-training on a larger dataset of flat depth images, and optimizing the model for use with a Jetson Nano. Additionally, we present a training and optimization framework …

Detection Methods, Occupancy Rates, Management And Conservation For Rodents, Jaran Hopkins

Master's Theses

Chapter 1. Species’ occurrences are dependent on a variety of habitat characteristics, including physical landscape factors and anthropogenic land use and change. Understanding the influence of habitat attributes on species occurrence is essential to successful wildlife and habitat management, specifically in areas with active human use. We tested the influence of vegetation alliance, fragmentation, and human recreation in the form of off-highway vehicles (OHV) in an area of active land management in coastal California, with a focus on the occurrences of six small mammal species. The area is composed of sand dunes subject to natural habitat fragmentation. OHV recreation occurs …

Creation And Testing Of A Social Robot Guideline, Sarika L. Singhal

Master's Theses

For this thesis, I created a guideline for socially assistive robots (SARs), and used it to evaluate a reading comprehension based social robot.

To create the guideline I extracted relevant details from published standards about toy safety, radio equipment, electromagnetic compatibility, internet of things security, ethical considerations for human-computer interaction, and data privacy. I then sent a summarized version to experts in the field for feedback. I received seven responses, five of whom were from researchers in academia. The sample size was too small for statistical analysis. Survey responses identified additional areas, such as interactivity and aesthetics, for the guideline. …

Predicting Startup Success Using Publicly Available Data, Emily Gavrilenko

Master's Theses

Predicting the success of an early-stage startup has always been a major effort for investors and venture funds. Statistically, there are about 305 million total startups created in a year, but less than 10% of them succeed to become profitable businesses. Accurately identifying the signs of startup growth is the work of countless investors, and in recent years, research has turned to machine learning in hopes of improving the accuracy and speed of startup success prediction.

To learn about a startup, investors have to navigate many different internet sources and often rely on personal intuition to determine the startup’s potential …

Lung Cancer Type Classification, Mohit Ramajibhai Ankoliya

Electronic Theses, Projects, and Dissertations

Lung cancer is the third most common cancer in the U.S. This research focuses on classifying lung cancer cells based on their tumor cell, shape, and biological traits in images automatically obtained by passing through the

convolutional layers. Additionally, I classify whether the lung cell is adenocarcinoma, large cell carcinoma, squamous cell carcinoma, or normal cell carcinoma. The benefit of this classification is an accurate prognosis, leading to patients receiving proper therapy. The Lung Cancer CT(Computed Tomography) image dataset from Kaggle has been drawn with 1000 CT images of various types of lung cancer. Two state-of-the-art convolutional neural networks (CNNs) …

Enterprise Risk Management: Small And Medium Business, Vasili Krespis

Electronic Theses, Projects, and Dissertations

This culminating experience project examined common risk management trends and challenges that SMEs face and provided methods and tools that could limit threats and impact of unforeseeable events. This project demonstrates why business owners should use a risk management planning framework. The research questions were: (Q1) What are risk identification strategies which do not overstrain SMEs' limited resources? (Q2) How may risk analysis be performed effectively in SMEs? (Q3) How does the SMEs risk management system change over time? (Q4) What are the most effective risk analysis techniques and strategies for SMEs with limited resources?

A case study was examined …

Black Female Athletes’ Use Of Social Media For Activism: An Intersectional And Cyberfeminist Analysis Of U.S. Hammer-Thrower, Gwen Berry's 2019 And 2021 Podium Protests, Ariel Newell

Electronic Theses, Projects, and Dissertations

Much attention has been paid to Black male athlete activism both historically and in the contemporary movement for black lives. Black female athletes have also made historic contributions as activists, and they continue to do so. However, Black female athlete activism has not always been acknowledged or heard. This is a problem, as Black women in American sports and society face overlapping racial and gender inequities and injustices that distinctly marginalize and oppress them. However, some Black female athlete activists (BFAAs) have begun using social media to challenge media narratives about themselves, to redefine what it means to be a …

Analysis For An Efficient Operation Of Solar Power Plants In India Using Different Variables/Parameters, Sonal Bansi Shinde

Electronic Theses, Projects, and Dissertations

Vast renewable energy facilities rely heavily on accurate predictions of future solar power output.  This study investigated the various factors causing poor, inefficient operation of Solar Plants and different methods to identify underperforming equipment. The main questions are: Q1: How can we predict electricity generation over the next several days so that the plant can run at peak efficiency? Q2: How can we figure out the exact maintenance needs of any power plant?  Q3: How do we identify faulty equipment to improve its efficiency to improve overall performance? and Q4: What are the different factors that are causing an inefficient …

A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed

Electronic Theses, Projects, and Dissertations

Heart disease is the leading cause of death for people around the world today. Diagnosis for various forms of heart disease can be detected with numerous medical tests, however, predicting heart disease without such tests is very difficult. Machine learning can help process medical big data and provide hidden knowledge which otherwise would not be possible with the naked eye. The aim of this project is to explore how machine learning algorithms can be used in predicting heart disease by building an optimized model. The research questions are; 1) What Machine learning algorithms are used in the diagnosis of heart …

Professional Development For K-6 Teachers, Rebecca S. Monroe

Electronic Theses, Projects, and Dissertations

For over a century, educators and politicians have been working on educational reform for various reasons and with the hope of a plethora of outcomes. Since at least the late twentieth century, educational reform has been undertaken for the purpose of increasing students’ academic achievement. While a shift in focus of teaching to a focus on learning has occurred, we know changes in the classroom and with classroom teaching still needs to occur. One recent incarnation of reform has been focused on the teacher and the professional development they receive.

Currently, the United States spends over 18 billion dollars annually …

Big Data For Comprehensive Analysis Of Real Estate Market, Yonglin Xiao

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explored the application of big data in the real estate industry in order to address the problem of analyzing the accurate property estimates value. The research questions were: (Q1): What are the benefits and advantages of utilizing big data in the real estate market? (Q2): What are the trends in the application of big data in the real estate market? (Q3): What are the challenges in applying big data in the real estate market? (Q4): What are the methods and processes of applying big data in appraisal of assets in the real estate market? To answer …

Novel Technologies And Their Effect On The Customer Journey: Customers' Sentiment With Tesla App, Andrew Jaymes

Electronic Theses, Projects, and Dissertations

This culminating experience project explores how novel technologies, such as artificial intelligence (AI), the Internet of Things (IoT), and virtual and augmented reality (VR/AR), impact customer experience. The customer journey framework was used to analyze customers' responses to interactions with novel Technologies integrated into Tesla electric vehicles. After gathering customer response data from the Tesla Motors subreddit page, we were able to score customer experiences with the Tesla app, over-the-air software updates, and full self-driving features, using the NRC sentiment lexicon. Our results showed customers tended to express more positive sentiments than negative sentiments when describing their experiences with these …

Causal Inference In Psychology And Neuroscience: From Association To Causation, Dehua Liang

Computational and Data Sciences (PhD) Dissertations

In psychology and neuroscience, inferring causality in non-experimental studies is almost taboo, because data in these studies, e.g., survey data and resting-state neuroimaging data, are often contaminated by unmeasured confounders. Psychologists and neuroscientists are often cautious about their results, and reluctant to make false claims about causality in non-experimental studies. Therefore, they adopt less stringent statistical analysis techniques that can only infer associational relations. However, the ambiguity about causality in traditional statistical analysis creates much confusion in interpreting analytical results - some studies make implicit causal claims about their results using words such as “impacts”, “lead to” and “affects”. This …

Susannah And Cold Mountain: Examining The Portrayal Of Appalachian Culture In Opera, Savannah Bennett

Electronic Theses and Dissertations

This thesis applies qualitative literary analysis and ethnographic methods to examine the portrayal of Appalachia in the operas Susannah and Cold Mountain. The operas were premiered almost 60 years apart, yet they share many themes that epitomize roles, patterns, and stereotypes within the Appalachian region. One theme observed is the role and expectations of Appalachian women and how they have developed over time, as the plots are placed roughly a century apart. The depictions of Appalachian religious traditions and representations of violence are also explored as these themes play a considerable role in Susannah and Cold Mountain. By analyzing …

An Examination Of Differences In Race, Gender, And Age In Processing And Outcomes Within The U.S. Criminal Justice System, Teliyah Cobb

Electronic Theses and Dissertations

Demographic factors can influence criminal justice system outcomes. We examine legal system processing in 12 U.S. states from 1976-1991. Variables included: 1) race, age, and gender; 2) violent, sexual, and drug- and alcohol-related charges; 3) level of charge; 4) charges at arrest, trial, and final disposition; 5) time-lengths between each stage; 6) dismissal, plea bargaining, and conviction; and 7) final sentencing length. Significant differences in arrest, prosecution, plea bargaining, charge severity, and final sanctioning were observed dependent on race, gender, age, and the intersectionality of these characteristics. Implications for research policy to reduce the impact of disparities are discussed.

Exploring The Experiences Of Clients Receiving Opioid Use Disorder Treatment At A Methadone Clinic In Kenya: A Qualitative Study, Sarah Kiburi, Jackline Mwangi, Geoffrey Maina

Internal Medicine, East Africa

Background: Assessing the experiences of individuals on methadone treatment is essential to help evaluate the treatment program’s efectiveness. This study aimed to explore the experiences of patients receiving methadone treatment at a clinic in Nairobi, Kenya.

Method: This study employed an exploratory qualitative study design. Through purposive sampling, participants were enrolled from individuals attending a methadone clinic for at least 2 years. Semi-structured individual interviews were used to collect data on substance use and experience before methadone treatment and experiences after starting methadone treatment, including benefts and challenges. Interviews were transcribed, and NVIVO 12 software was used to …