Digital Commons Network^™

Advanced 3d Lidar-Based Systems For Urban Traffic And Pedestrian Monitoring: Integrating Elevated Lidar, Data Collection, And Deep Learning For Precise Detection And Activity Classification, Nawfal Guefrachi

Masters Theses

"Accurate and real-time monitoring of urban traffic and pedestrian activities is crucial for intelligent transportation systems (ITS) and smart cities. Traditional camera-based methods struggle with issues like lighting and privacy. This research leverages advanced three-dimension light detection and ranging (3D LiDAR) technology and computational frameworks to address these challenges, providing transformative solutions for urban traffic management and pedestrian safety. By strategically deploying elevated LiDAR sensors, detailed 3D point cloud data is captured, enabling precise monitoring of urban environments. Enhancements to LiDAR-based frameworks, such as fine-tuning the Point Voxel Region-Based Convolutional Neural Network (PV-RCNN), improve the detection of vehicles and pedestrians …

Long Short-Term Memory (Lstm) -Based Neural Network Model For Optimizing Composite Manufacturing Process Using Autoclave, Sourav P. Bolar

Masters Theses

The combination of high pressure and controlled heat plays a critical role in ensuring the uniform curing of composite materials, leading to parts with superior mechanical properties. In this study, three composite samples of IM7/CYCOM 5320-1, each cut into 12x12-inch squares, were placed in an autoclave at three different locations, spaced 6 inches apart. Sixteen thermocouples were randomly distributed across the setup to monitor the curing process as the autoclave temperature was systematically ramped up and down while maintaining constant pressure, creating a fully controlled curing environment. The primary objective was to optimize the curing locations to reduce machine runtime …

On Optimizing Sensor Data Collection, Processing, And Storage For Industrial Additive Manufacturing, Steven Thompson

Masters Theses

The widespread adoption of digital data management methods for transformative technologies, such as additive manufacturing (AM), within the aerospace industry is impeded by poor interoperability between AM component manufacturing processes. Moreover, data quality may be compromised due to sensor failures or other corruptions. Additionally, massive amounts of data are collected during these processes, often needing to remain accessible for decades. These storage costs can place a significant financial burden on smaller suppliers. This work aims to make digital data management methods more affordable and, therefore, approachable for smaller suppliers.

First, the design and initial implementation of an affordable and adaptable …

Augmentation Of Quality Of Service, Security, And Trust In Edge-Enhanced Iot Networks Leveraging Blockchain, Kyle Matthew Whitlatch

Masters Theses

The meteoric rise of the Internet of Things (IoT) has led to multiple architectural schemas to handle the data these devices create. Edge-enhancement is a technique where groups of IoT report to a median layer to aggregate the data before relaying to the endpoint. These edges also open opportunities to perform more operations to ensure devices are behaving properly before committing the data to long term storage. By interconnecting these edges with a technology like blockchain, it is possible to have an interconnected and responsive system to ensure the Quality of Service (QoS) of the IoT devices within the architecture …

Development Of A Method To Measure Blast Overpressure Exposure Using Orthogonal Sensor Orientations, Nicholas Kuehl

Masters Theses

Measuring and recording blast exposure to military personnel from shoulder-fired weaponry or improvised explosive devices to correlate health outcomes like mild traumatic brain injury has been a goal for many years. As such, many wearable sensors have been developed and tested for accuracy and reliability. Despite this, knowing the sensor orientation in relation to the blast source is important to fully correlate the actual personnel exposure to clinical outcomes. This research investigates whether pressures recorded at three independent orientations in the x, y and z planes can be combined to a representative pressure that is independent of orientation. Important metrics …

Selective Surface Activation And Flotation Of Pyrite For The Recovery Of Tellurium From Sulfide Tailings, Mulenga Mutema Chibesa

Masters Theses

Copper sulfide tailings from past and present mining operations are important secondary sources of critical elements such as tellurium (Te), a key component in cadmium–telluride photovoltaic solar cells. Characterization of tailing streams from copper porphyry (CP) ore flotation revealed that Te-bearing minerals are predominantly hosted in pyrite, which is usually depressed and discarded. Enhancing pyrite recovery is therefore a critical first step toward concentrating Te minerals for downstream extraction. However, pyrite flotation is often hindered by hydrophilic surface complexes formed during prior processing. This research investigated selective flotation of Te-bearing pyrite from CP tailings using micro flotation and bench-scale flotation, …

Enabling Drone-Integrated Active Microwave Thermography Via A Slot Antenna Design, Alec P. Fitzmaurice

Masters Theses

Civil infrastructure inspection quality and inspector safety may be enhanced from the advancement in the capabilities of nondestructive testing and evaluation of remote or otherwise hard-to-reach areas such as nuclear power plants, wind turbines, bridges, or other civil infrastructure using drone-based Active Microwave Thermography (AMT). AMT is a nondestructive testing technique that utilizes high frequency energy (often radiated from an antenna) to induce heating in a specimen. Following this thermal excitation, an infrared camera is used to measure the resulting surface thermal profile. From this, defect indications may be detected. To enable drone-based deployment of AMT, where the antenna size …

Multimodal Spatio-Temporal Pest Prediction In Precision Agriculture, V N S Kameswari Sri Sindhu Manchikanti

Masters Theses

Accurate and timely prediction of pest outbreaks is a cornerstone of Agriculture 5.0, which emphasizes intelligent, data-driven, and sustainable decision-making in crop production. This research presents a multimodal deep learning framework that integrates heterogeneous data sources, including weather parameters, satellite-derived vegetation indices, and static and dynamic soil attributes, to forecast pest population dynamics under varying management and ecological conditions. The proposed framework employs modality-specific deep encoders to capture distinct temporal and spatial representations from each data stream and merges them through a late-fusion architecture that learns cross-modal dependencies critical to pest emergence. The design further incorporates treatment-aware and multiclass extensions, …

Environmental Pollutants: A Risk For Premature Aging And Transgenerational Toxicity, Alex Kathleen Daniels

Masters Theses

"This thesis aims to identify interactions between C. elegans’ reproductive system and global pollutants such as microplastics, HgCl₂, nicotine, and pesticides. Human exposure to these pollutants and their effect on reproduction can be analyzed using the C. elegans as a model organism. Systematic analysis of matricidal hatching, progeny production, germline apoptosis, and lifespan assays determined effects on reproduction and reproductive aging. Through my experiments, it was determined that no significant effects were produced from the selected polystyrene, polyethylene, vape juice, nicotine hemi sulfate salt, imidacloprid, or glyphosate regarding matricidal hatching or progeny production. I confirmed that HgCl₂ induced significant effects …

Mindfulness And Psychological Adjustment In International Students: The Mediating Role Of Emotion Regulation Strategies, Jyoti Lama

Masters Theses

This study examined the relationship between mindfulness and psychological adjustment among international students, focusing on the mediating roles of two emotion regulation strategies: cognitive reappraisal and expressive suppression. Specifically, it explored whether mindfulness is associated with lower acculturative stress and higher coping self-efficacy, and whether using the emotion regulation strategies of cognitive appraisal and expressive suppression mediate these relationships. Eighty-nine international students from mid-sized U.S. universities participated in an online survey assessing mindfulness, emotion regulation, acculturative stress, and coping self-efficacy. Mediation analyses using bootstrapping showed that cognitive reappraisal partially mediated the relationship between mindfulness and coping self-efficacy, but not between …

Finding Love On The Spectrum: An Analysis Of Social And Romantic Relationships Of Autistic College Students, Kaylee Spinner

Masters Theses

Autism Spectrum Disorder (ASD) is characterized by difficulties in socialization, communication, and developing relationships with others. While many autistic individuals desire to start relationships with others, many do not have a very strong understanding of the use of nonverbal communication or how to develop these connections organically. As autistic individuals have become more open about wanting these resources to form social and romantic relationships, there has been more of a push in the literature to include social skills training for forming social relationships. However, the research on the desire for or development of romantic relationships for autistic individuals is still …

Mindfulness & Mental Health: Balanced Time Perspective As A Mediator, Eddie Trueblood

Masters Theses

Mindfulness is a practice of intentionally paying attention to the present moment in a nonjudgmental way. Being more mindful can decrease symptoms of anxiety, depression, and stress, among other mental and physical health improvements. (Donald et al., 2016; Hofmann et al., 2010; Kabat-Zinn et al.,1992). This study examined if balanced time perspective (BTP) is one of the mechanisms of action of mindfulness in its relationship with depression, anxiety, and stress. BTP refers to a person’s ability to flexibly adapt their time perspective (attention to the past, present, or future, and positive or negative attitudes toward each) to suit the current …

Are There Predictable Shifts In Fish Communities Following Instream Habitat Restoration? A Multistream Analysis., Ryan A. Skowronski

Masters Theses

In the past two centuries, anthropogenic stressors have degraded the structure and function of streams by accelerating bank erosion, decreasing riparian buffer zones, and altering the natural flow regime. Habitat restoration has become a common mitigation strategy in response to stream degradation, though empirical research evaluating its effectiveness is lacking in the United States. This study investigated responses in fish community following habitat restoration in five restored, Illinois streams. We assigned fish species to habitat, trophic, and reproductive guilds based on their habitat preferences, feeding habits, and life history. Streams were separated into enhancement and removal groups for analysis. Shifts …

Parasite Communities Of Bluntnose Minnow (Pimephales Notatus) From Several Creeks In East Central Illinois, Md Rowshan Alam

Masters Theses

Parasites of freshwater fish play a vital functional role in aquatic ecosystems, but the spatial and ecological determinants of their prevalence and characteristics are still poorly understood. The current study quantified the diversity, prevalence, and environmental determinants of whole parasite burdens in bluntnose minnows across multiple creeks in central Illinois. Fish sampling and the collection of stream habitat data were conducted during the summers of 2023 and 2024. Fish were examined for parasites using necropsy and histology. A total of 20,817 parasites, predominantly trematodes (Posthodiplostomum spp.), cestodes (Proteocephalus spp), and protozoans, were identified. The most prevalent and abundant …

The Relationships Of Anxiety Sensitivity, Intolerance Of Uncertainty, And Alexithymia On University Students’ Experiences Of Depression, Anxiety, And Stress, Vanessa Watterson

Masters Theses

Undergraduates’ mental health has seen a significant decline over the past several decades. Past research has identified significant correlations between specific cognitive vulnerabilities and experiences of psychological distress. The current study reviewed the literature on relationships between three cognitive vulnerabilities (anxiety sensitivity, intolerance of uncertainty, and alexithymia) and individuals’ experiences of depression, anxiety, and stress. Further, this study utilized a hierarchical regression model to examine the predictive abilities of anxiety sensitivity, intolerance of uncertainty, and alexithymia on depression, anxiety, and stress, respectively. The findings indicated that all three cognitive vulnerabilities had significant and unique contributions to depression, anxiety, and stress …

Experiences Of Qpoc College Students: The Complexities Of Navigating Multiple Minoritized Identities, Attainea S. Toulon

Masters Theses

Queer People of Color (QPOC) experience unique challenges within higher education as they navigate the intersections of race, sexuality, and gender at predominantly White institutions (PWIs). This qualitative narrative study explored the lived experiences of three QPOC college students at a mid-sized public university in the Midwest. Through semi-structured interviews, participants shared how their intersecting identities shaped their sense of belonging, access to support systems, and overall university experiences. Findings revealed that while participants found affirmation through cultural organizations, staff mentors, and chosen family, they also encountered racialized exclusion within LGBTQ+ spaces and heteronormative expectations within racialized spaces.The narratives illustrated …

Disease Diagnosis Using Natural Language Processing And Deep Learning, Manas Kumar Sherla

Masters Theses

This research presents an automated disease diagnosis framework that leverages natural language processing and deep learning to predict diagnosis codes from unstructured electronic health record (EHR) clinical notes. Using the MIMIC-III critical care dataset, clinical narratives such as discharge summaries and physician notes are extracted, validated, and preprocessed to construct a labeled corpus aligned with ICD-9 diagnoses. The study implements a pipeline comprising text cleaning, feature extraction, and supervised learning, and compares traditional models such as Logistic Regression and Bi-LSTM with transformer-based architectures built on BERT. Models are trained and evaluated with categorical cross-entropy loss and standard multi-class metrics, including …

The Impact Of Artificial Intelligence On College Sport Communications, Will Barnhart

Masters Theses

As Artificial Intelligence technology (AI) becomes increasingly accessible, the importance of understanding its impact on peoples’ work lives is also increasing. One field that has received very little attention in relation to this subject is college sport communications. Prior research has focused on AI within the closely related fields of journalism and public relations, but no previous studies have been conducted on AI and college sport communicators specifically. To address that knowledge gap, this study surveyed members of the College Sport Communicators (CSC) on their attitudes toward AI and their usage of such technology. The data analysis showed that while …

Childhood Maltreatment And Social Anxiety In College Students: Examining The Role Of Distress Tolerance, Alexa N. Matthies

Masters Theses

This study examines the relationship between childhood emotional maltreatment and social anxiety, with a focus on the mediating role of distress tolerance. Emotional maltreatment has been linked to numerous adverse psychological outcomes, yet its specific contribution to social anxiety symptoms requires further exploration. Using a sample of 94 participants aged 18 to 24, this research employs validated instruments, including the Childhood Trauma Questionnaire and Liebowitz Social Anxiety Scale, to assess the prevalence and impacts of emotional abuse and neglect. Findings reveal significant correlations between emotional abuse, neglect, and elevated social anxiety symptoms. Distress tolerance emerged as a key mediator, partially …

Small Town Voices And Stories: Rural Older Populations And Health Narratives, Wyatt K. Zumbahlen

Masters Theses

Stories play a vital role in our humanity; they help us understand the world around us. As we age, our experiences, along with those of the people around us, shape our perceptions of health and influence our healthcare choices. For older adults, narratives become an essential resource in making healthcare decisions. In rural communities like Coles County, Illinois, these stories are especially important for older adults who are navigating the limited care and services available in the area. This reliance on narratives impacts their willingness to seek care, highlighting the need to recognize the power of stories in empowering older …

The Lumpkin College Of Business And Technology Living-Learning Community: An Examination Of The Llc's Development And Assessment During The First Year Of The Program, Elian G. Mackey

Masters Theses

Living-learning communities (LLCs) are well-known as a means of fostering student engagement tied closely to academics and sense of belonging among peers outside of the classroom. However, the success of an LLC depends not only on its design and implementation but also on the strength of its assessment practices. This paper examines the efficiency of the current assessment practices of the Lumpkin College of Business and Technology LLC, Eastern Illinois University’s newest LLC in the 2024-2025 Academic Year, at this point in its development. With the community is still early in its development, assessment efforts faced challenges. Through a review …

Domestic Student Engagement With International Peers: Local Insights, Global Connections, Alissa Sutton

Masters Theses

As competition to recruit international students grows, institutions must prioritize fostering a sense of belonging that supports their retention and success. Central to this is the quality of interactions between international and domestic students, which shape both groups’ social and academic experiences. This study examines the barriers and facilitators influencing domestic students’ engagement with international peers and the role of institutional support in promoting meaningful cross-cultural connections. Findings reveal that domestic students recognize the importance of engaging with international peers but they often encounter challenges such as lack of awareness, uncertainty about how to connect, and limited institutional opportunities. Support …

Burnout And Job Satisfaction In Practicing School Psychologists, Cole Westmoreland

Masters Theses

The purpose of this study was to identify the primary variables associated with burnout among practicing Midwest school psychologists. More specifically, the purpose was to determine if the same variables that correlated highly with Illinois school psychologists’ burnout levels in a 1994 study by Niebrugge and a 2004 study by Hoffman have held constant over the last two decades. Additionally, the varying roles of school psychologists and how they have impacted burnout and job satisfaction were addressed by identifying differences between ideal and actual role involvement. Survey materials used included the Maslach Burnout Inventory, 4^th edition, a Job Satisfaction …

Women Spinning On The Edge: Finding And Redefining The “Spinster” In The Witches Of Discworld, Kathryn Ann Fitzmaurice

Masters Theses

The word “spinster” has undergone a series of evolutions over the past seven hundred years, first coined to describe the occupation of women engaged in the spinning of plant and animal fibers into thread and yarn in the Middle Ages and later a legal marital status designation used until the 21^st century. The connotation associated in social contexts became pejorative. This project’s tracing of the word spinster is used to set up the broader scope looking at how the spinster can be viewed as an archetype, what we can learn through the lenses of gender and feminist theory, and …

The Influence Of Family-School Communication On Junior High School Students’ Academic Success, Stephen Junior Amoah

Masters Theses

This study examines the influence of family-school communication on students' academic success in the context of Ghana, with a particular focus on Junior High School (JHS) students. While existing research emphasizes the importance of family involvement in educational outcomes, limited studies explore how family-school communication directly affects academic success in Ghana. By using a mixed-methods approach, the study combines quantitative and qualitative data collection. The quantitative component includes an online survey distributed to JHS graduates, assessing the frequency, impact, methods, and barriers of communication between families and schools, as well as their perceived effect on academic performance. The survey includes …

Examining Group Components On Exercise Adherence In Older Adults, Brody Polk

Masters Theses

Older adults remain the least active population despite the well-known benefits of regular exercise (Beauchamp et al., 2007; Rúa-Alonso et al., 2023). Researchers examining exercise adherence in older adults have determined two modalities of training—individual and group—with individual training being the preferred mode of exercise for older adults (Beauchamp et al., 2007). However, previous research has failed to evaluate the various components of group exercise before making a comparison with individual exercise to determine which form best predicts older adults’ adherence to exercise (Hawley-Hague et al., 2014). As such, the purpose of the current study was to examine the effects …

Development Of Stalling Detection Algorithms And Operator Behavior Models For Evaluating Hydraulic Excavator Performance, Mateo Fernando Montenegro Defaz

Masters Theses

This study aims to develop a reliable algorithm for stalling detection and investigate how operator behaviors impact the truck-loading process, focusing on swing and bucket rotations. While the study of excavator digging conditions and equipment performance is well understood, describing stalling from telemetry data and the influence of operators’ behavior on overall system efficiency remain underexplored. This study seeks to: (i) develop a reliable algorithm for stall detection by analyzing key operational variables such as velocity and angles; (ii) implement statistical and machine learning techniques, specifically a Support Vector Machine (SVM) classification algorithm, to differentiate between ideal and non-ideal digging …

Effects Of Climate Change On Fungal Diversity And Function In Streams, Syeda Tasfia Imam

Masters Theses

"This study investigated the impact of climate change, particularly drought, on leaf decomposition and associated fungal and macroinvertebrate communities in freshwater ecosystems. With climate change, streams may experience altered hydrology, leading to shifts in community composition and biogeochemical processes. Fungi decompose organic matter, facilitate nutrient cycling, and support food webs. However, drought can disrupt these processes by reducing water availability, causing declines in fungal diversity and activity. I examined leaf breakdown and associated biota in 13 stream sites across varying hydrologic conditions, from perennial to ephemeral flow patterns. Flow duration varied during the 8-week study. Leaf breakdown was significantly related …

Evaluation Of The Impact Of Secondhand E-Cigarette Aerosols On Ros-Mediated Alterations Of Epigenetic Events: Implications For Copd Pathogenesis And Assessment Of The Efficacy Of Cold Atmospheric Plasma In Degrading Organophosphate Pesticides On Kevlar Materials, Ta-Chun Lin

Masters Theses

"We explored 1) the toxicological impacts of e-cigarette aerosols and 2) the decontamination efficacy of Cold Atmospheric Plasma (CAP) technology over organophosphates. In examining the effects of firsthand and secondhand e-cigarette aerosol exposure on A549 and BEAS-2B lung cells, we observed significant cytotoxicity, increased ROS levels, and epigenetic modifications, including heightened DNA methylation and downregulation of histone deacetylases (HDACs). These molecular alterations may contribute to chronic respiratory conditions, such as COPD, underscoring the health risks of e-cigarette exposure.

We investigated CAP’s effectiveness in degrading organophosphate pesticide (OP) residues on fabric surfaces, revealing that CAP treatment effectively decomposes OPs such as …

Fetal Acidosis Prediction Using Attention Enhanced Convolutional Neural Networks, Anusha Adhikari

Masters Theses

This study explores the integration of spectral mixtures of fetal heart rate (FHR) and uterine contraction (UC) signals to enhance the prediction of fetal acidosis, utilizing the CTU-CHB dataset. Several classification models were trained using two distinct oversampling techniques and inputs, demonstrating that models incorporating spectral mixtures significantly outperform those using raw signals. These models, particularly when combined with convolutional neural networks (CNNs) and attention mechanisms, achieved a notable F1-score of 0.98, with the highest model achieving an area under the Receiver Operating Characteristic (ROC) curve of 0.95. The research employs a variety of techniques including short-time Fourier transform and …