Digital Commons Network^™

Contamination-Aware Boosting For Cancer Prediction, Francis Opoku

Open Access Theses & Dissertations

Modern cancer research increasingly relies on machine learning methods to model complex relationships between high-dimensional genomic predictors and clinically relevant outcomes. Gradient boosting methods, particularly XGBoost, have become widely used due to their strong predictive performance and ability to capture nonlinear effects and interactions. However, these methods are sensitive to contamination in the data, especially in the response variable, where even a small fraction of aberrant observations can disproportionately influence model fitting and degrade generalization.

In this thesis, we propose a contamination-aware extension of XGBoost, termed CA-XGBoost, which improves robustness by explicitly modeling residuals through a latent mixture framework. This …

Discipline And Identity: Testimonios Of Queer Chicanxs, Marco Antonio Ortigoza Jr

Open Access Theses & Dissertations

Every year, students are pushed away from educational opportunities due to punitive practices. A system of policies and practices that increase the student's likelihood of formal social control, including the juvenile justice system, is often referred to as the school-to-prison nexus (STPN). Existing research suggests a disproportional number of students of color, as well as queer students, are harmed by disciplinary policies. The literature, however, does not fully address students' experiences, particularly queer Chicanxs. This study attempts to narrow that gap by highlighting the disciplinary experiences of queer Chicanxs. Additionally, this study explores how disciplinary experiences impacted their identity formation. …

Computational Studies Of Alpha-Lactalbumin Binding To Perfluorodecanoic Acid, Randhal Smith Ramirez Orozco

Open Access Theses & Dissertations

This thesis investigates the structural and thermodynamic interactions between Perfluorodecanoic acid (PFDA) and bovine alpha-lactalbumin (ALAC), a critical milk protein essential for infant nutrition. The primary objectives were to computationally determine the most probable binding sites of PFDA to ALAC and to quantify the strength of these interactions alongside the structural changes they induce. This study addresses a critical gap in understanding how persistent environmental contaminants like PFDA are recruited and transported by nutritional proteins within the milk matrix. The methodology integrated high-throughput molecular docking with long-range, molecular dynamics (MD) simulations to provide a dynamic characterization of the ALAC-PFDA complex. …

Katie In-Between, Savannah Rae Sarabia

Open Access Theses & Dissertations

Katie In-Between is a contemporary young-adult fiction piece that follows the protagonist Katie as she learns about and reclaims her cultural identity. In her process, she learns the importance of embracing her identity, which refutes biases and ideals about who is and who is not part of her community. This story draws on personal experience navigating cultural identity and confronting histories and events that suppress that minority community's expression in American society. Through narration, poetry, and journal entries, readers are exposed to the confrontation of languages and histories to support ideas such as Gloria Anzaldúa's concept of nepantla, which refutes …

Centering Latinx Perspectives And Cultural Identification In Music Listening: Examining Musical Consumption Behaviors And Choices Among Latinx Adults, Javier Alejandro Silerio

Open Access Theses & Dissertations

Music is a critical cultural activity and resource for people all over the world, often used for communication, recreation, identity formation, social bonding, and many other aspects of our daily lives. Moreover, this has been reported across many cultures and is not unique to a single group. Despite this, there is currently limited information and research around Latinx American music consumption and this population's overall relationship with music. Because of this, the purpose of this study is to examine music consumption behaviors among Latinx Americans, as well as possible relationships between their Latinx cultural identification and said music consumption behaviors. …

High-Resolution Mapping Of Brainstem Feeding Circuits: A Framework For Targeted Neuroscience Tools, Geronimo Tapia

Open Access Theses & Dissertations

The neural control of energy balance is mediated in part by distributed brainstem circuits that integrate metabolic, visceral, and hormonal signals to coordinate appropriate motivated behaviors and autonomic responses. Despite extensive study, the precise neuroanatomical architecture regulating metabolism remains incompletely defined within standardized atlas frameworks. This work addresses that gap through complementary studies examining an acute glycemic challenge methodology known to stimulate feeding, the acute delivery of an anorexigenic-associated neurohormone, and the chemoarchitecture of a major feeding-related region, the parabrachial nucleus. First, utilizing 2-deoxy-D-glucose (2-DG) induced glucoprivation, we map the rapid response of dorsal medullary neuronal populations with high spatial …

Penalty Approach To Constrained Optimization Problems In Water Reservoir And Energy Generation Management, Edwin Horacio Trejo

Open Access Theses & Dissertations

The growing demand for resilient and sustainable energy generation has driven interest in Hybrid Floating Photovoltaic-Hydropower (HFPVH) systems. Operating these systems effectively requires making water release decisions that satisfy physical and regulatory constraints while maximizing energy production. Prior work by Vega (2024) developed a Dynamic Outlier Filter Long Short-Term Memory (DOF-LSTM) architecture for forecasting reservoir release patterns. That predictive work is valid and addresses an important component of the HFPVH decision pipeline. However, the constraint system in that work operates externally to the learning process, and the behavior of penalty-based constraint enforcement had not been studied independently in this context. …

From Soils To Plants And Back Again: The Effects Of Small Mammals On Arctic Ecosystem Processes, Andrew Uccello

Open Access Theses & Dissertations

Herbivores are essential drivers of above and belowground processes in ecosystems across the globe. Through their effects on ecosystem processes, herbivores represent a critical force shaping ecosystems undergoing rapid environmental changes, such as the Arctic. However, there are critical gaps in our knowledge of herbivores as drivers of Arctic ecosystem processes, especially concerning the role of small mammal herbivores. While previous research has made significant strides in identifying the role of small mammal herbivores as both top down and bottom up forces in Arctic ecosystems, we still lack an understanding that explicitly connects plant and soil responses to herbivory, especially …

Asunto Familiar, Paolo Velazquez Angeles

Open Access Theses & Dissertations

Asunto Familiar is a project told through short stories. Set in the El Paso/Ciudad Juarez community, it tells the story of one family and their ever-changing lives after a death derails their entire trajectory. Informed by queer perseverance in the bilingual communities of the Chihuahuan Desert, Asunto Familiar aims at exploring the subtle ways family can inflict violence on each other, specifically on their queer members. This in turn, revealing the transitional power of queerness, allowing the characters to uphold love and move away from their predetermined societal roles.

The Moderating Role Of Cannabis Use Motives On The Relationship Between Intragroup Marginalization And Cannabis Use In Hispanic Emerging Adults, Austin Ray Vernon

Open Access Theses & Dissertations

Cannabis use has become increasingly normalized among emerging adults, yet associated risks to health remain a growing concern. Cannabis use among Hispanic populations has risen over the past decade, underscoring the need to examine culturally relevant factors that may influence use patterns and related harm. Intragroup marginalization, a culturally specific form of identity-based rejection from one's own ethnic group, may represent one such factor. The present study examined whether intragroup marginalization is associated with cannabis use outcomes and whether cannabis use motives moderate these associations. Participants were 358 Hispanic college students recruited from a U.S.-Mexico border university. Following informed consent, …

Soil Microbial Responses To Artifical Light At Night, Randall L. Walker

Open Access Theses & Dissertations

Global change, driven by both natural processes and human activities, has significantly transformed ecosystems. Urbanization and artificial light at night (ALAN) are key contributors, disrupting natural light cycles and influencing biological rhythms, biodiversity, and ecosystem functions. Thus far, there remains a gap in knowledge of how soil ecosystems are impacted by ALAN. This study uses a laboratory incubation to investigate the effects of ALAN on soil microbial communities and functions across urban and natural ecosystems. Briefly, soil was collected from eight sites around El Paso, Texas and neighboring New Mexico representing urban and rural light exposure. Soil was then subjected …

American Coverage Of The Killing Of Awdah Hathaleen: A Case Study, Charlie F. Nichols

Journalism

This project analyzes coverage from major American news outlets regarding the killing of Awdah Hathaleen by Yinnon Levi, using firsthand accounts of the event as a point of reference. These accounts are organized into a timeline of the event that coverage is compared with. The propaganda model outlined in Manufacturing Consent by Herman & Chomsky (1988) is used as a theoretical framework, namely the concept of unworthy victims. This framework posits that victims of violence perpetrated by American client states are framed as deserving of said violence. This addresses a gap in the literature of comparing coverage with a verifiable …

Optimized Ultrasound Imaging Of Phase-Change Nanodroplets, Charles R Dyall, Dmitry Nevozhay, Andy Liu, Trevor M Mitcham, George J Lu, Konstantin V Sokolov, Richard R Bouchard

Faculty, Staff and Student Publications

Phase-change nanodroplets (PCNDs) continue to generate significant research interest due to their potential to extravasate into tissue, to be targeted for molecular imaging and drug delivery, and to undergo an induced phase-change to "activated" microbubbles (MBs) for ultrasound (US) imaging. To accurately quantify molecular markers, however, one assumes a consistent proportion of PCNDs in a region of interest (ROI) are stably activated and imaged. Herein we present a framework for developing a diagnostic sequence that is optimized for PCND activation uniformity, contrast, and acquisition time. To develop this framework, activation was examined at three scales of increasing complexity: single, adjacent, …

Stance And Gait Analysis Of Apollo Astronauts On The Moon, Faye Y Chiou-Tan, Conrad Li, Jason P Caffrey, Millard Reschke, Timothy R Macaulay

Faculty, Staff and Students Publications

Introduction/aim: As humans return to the Moon, safe efficient ambulation and fall prevention on the lunar surface are key concerns. The analysis of gait from archived Apollo mission video footage is now possible with pose estimation video analysis software. Thus, this study aims to retrospectively quantify parameters of Apollo astronauts' stance and gait on the Moon.

Methods: Publicly available National Aeronautics and Space Administration (NASA) footage of astronauts ambulating on the Lunar surface was examined using body pose analysis software. Goniometric lower limb joint/torso angles and width of base of stance and gait were derived. Gait cycle stance phase, swing …

A Multi-Institutional Epid-Based 3d Dose Reconstruction Model In A Virtual Phantom For Standardized Patient Qa, Benchmarking And Auditing For Stereotactic Radiosurgery, Benjamin Zwan, Emily Searle, Cameron Stanton, Ching-Ling Teng, Seng Boh Lim, Andrew Dipuglia, Richard Popple, Michael Lovelock, Ashley Cullen, Conor K Mcgarry, Victoria Robinson, Sergei Zavgorodni, Baozhou Sun, Xiaodong Zhao, Matthew Schmidt, Juan-Francisco Calvo-Ortega, Gemma Warner, Andrew Cousins, Michael Barnes, Peter Greer

Faculty, Staff and Students Publications

Background and purpose: For single-isocentre multi-target (SIMT) stereotactic radiosurgery (SRS), benchmarking, auditing and inter-institutional standardisation of dose verification remain challenging as they require specialized equipment and expertise. This work aims to develop and validate an electronic portal imaging device (EPID)-based technique to determine 3D dose in a virtual spherical phantom which is applicable across institutions for SIMT SRS dose verification.

Materials and methods: Small-field output factors from 11 international centres were measured in-water for the TrueBeam linear accelerator, including jaw-defined and high-definition multi-leaf collimator (MLC) fields from 0.5 × 0.5 to 20 × 20 cm2 and depths from 1.5-20 cm. …

Comparative Fatigue Analysis Of Cf-Pla Metamaterial Bone Plates For Orthopaedic Fixation, Ani Daniel, Hamed Bakhtiari, Barun K. Das, Muhammad Aamir, Majid Tolouei-Rad

Research outputs 2022 to 2026

Bone plates are widely used in orthopaedic surgery to stabilise fractured bones and support healing following traumatic injuries or osteotomies. However, conventional metallic bone plates suffer from stress shielding and stiffness mismatch with bone, which can hinder optimal healing. Additive manufacturing enables the incorporation of novel metamaterial architectures into polymer-based implants to enhance mechanical properties. The fatigue behaviour of these implants during the healing period is critical to ensuring their structural integrity and long-term performance. In this study, the compressive fatigue performance of fused deposition modelling (FDM)-printed carbon fibre-reinforced polylactic acid (CF-PLA) bone plates were investigated. Four metamaterial structures—tetrachiral, re-entrant, …

Understanding Customer Engagement Behavior In Virtual Try-On Services: Evidence From Indonesia, Nyoman Sri Subawa, Ni Putu Chantika Aprilia Nariswari, Made Maenita Dewi, Anak Agung Gede Wiranata, Caren Angellina Mimaki, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

The adoption of immersive technologies, such as Virtual Try-On (VTO), has transformed how consumers evaluate products, interact digitally, and engage with brands. This study investigates the effects of experiential value, flow, perceived enjoyment, customer trust, and customer satisfaction on customer engagement behavior, within the Stimulus–Organism–Response (S–O–R) framework. Experiential value serves as the stimulus, flow and psychological states as the organism, and engagement as the response. Data were collected from 320 Indonesian e-commerce using a purposive sampling technique, targeting respondents with prior experience using Virtual Try-On (VTO) features through an online questionnaire distributed via Google Forms, and were subsequently analyzed using …

A Survey Of Privacy-Preserving Federated Learning For Intrusion Detection Systems, Thomas Bunko, Michael N. Johnstone, Wencheng Yang, Ben A. Scott

Research outputs 2022 to 2026

Intrusion detection systems (IDS) monitor and detect malicious activity and unauthorized access that may compromise systems. Traditional IDS approaches send data to a central server for analysis, raising privacy concerns as data owners lose control over security. Federated Learning (FL) offers a privacy-preserving alternative by allowing local devices to process their data and generate models without sharing raw data. These local models are aggregated centrally to form a comprehensive model with performance comparable to centralized systems. This paper reviews FL-based IDS research, and is the first review paper to focus on privacy-preserving techniques collectively known as privacy-preserving Federated Learning (PPFL) …

Low Climate Benefit Of Nordic Coastal Marshes: Site Conditions Outweigh Grazing Effects And Shape Trade-Offs Between Carbon Storage And Its Stability, Carmen Leiva-Dueñas, T. Banta, Christoffer Boström, Franziska Eller, Johan Eklöf, Line Holm Andersen, Kai Jensen, Marianna Lanari, Ella Logemann, Pere Masque, Thomas Ostertag, Christoph Reisdorff, Anaïs Richard, Anu Vehmaa, Jukka Alm, Mikael Von Numers, Dorte Krause-Jensen

Research outputs 2022 to 2026

Coastal marshes, recognized as effective organic carbon (OC) sinks, have gained attention for their potential contribution to climate mitigation through protection and restoration. However, the climate mitigation potential of Nordic coastal marshes remains understudied, likely due to their heterogeneous and often non-tidal nature. To fill this gap, we examined soil OC storage and accumulation rates, and the effects of grazing, a common management practice, across eight Nordic coastal marsh areas spanning broad climate and environmental gradients. We also assessed soil methane emissions in selected areas. The Nordic marshes studied store a median of 7 kg OC m⁻² (interquartile range, …

Neuromuscular Performance Changes In Response To The Australian Special Forces Selection Course, Angela Uphill, Kristina L. Kendall, Stuart Guppy, Michael Vacher, Simon Parker, Hannah Brown, Brendan Ashmore, Travis Zomer, G. Gregory Haff

Research outputs 2022 to 2026

Introduction: Strenuous military activities, such as Special Forces (SF) selection courses, are known to involve high physical loads in the presence of food and sleep deprivation, which can have detrimental impacts on physical performance. Understanding the magnitude of performance deficit and the time required for recovery associated with these events, is important for injury prevention and maintaining operational readiness. The purpose of this study was to investigate the changes in physical performance in response to the Australian SF Selection Course (SF-SC) and to monitor recovery throughout 8 weeks following the course. Materials and Methods: Ninety-three healthy male participants (age: 28 …

International Evidence-Based Guidelines For Traditional Chinese Medicine Management Of Allergic Rhinitis, Qin-Wei Fu, Peng Liu, Yan Ruan, Xin-Rong Li, Lan-Zhi Zhang, Sha-Sha Yang, Feng Chai, Ji Chen, Qiao-Yan Chen, Shu-Cheng Chen, Wen-Yong Chen, Yong-Na Chen, Hong-Bin Cheng, Lei Cheng, Lu-Jia Cui, Ke-Bin Deng, Cai-Shan Fang, Rong-Chang Feng, Li Fu, Wen-Yang Fu, Jian-Ying Gao, Hong Guo, Miao He, Ko-Hsin Hu, Chun-Jiang Huang, He-Yin Huang, Lu-Yun Jiang, Feng-Ying Qiao, Hui Leng, Yun-Ying Li, Chun-Song Liu, Da-Xin Liu, Jian-Hua Liu, Jin-Hui Liu, Jing Liu, Min Liu, Weiting Liu, Yuan-Xian Liu, Yang Liu, Ying Liu, Zhi-Qing Liu, Qiu-Lan Luo, Yu Ma, De-Hong Mao, Juan Meng, Kai-Yun Pang, Shun-Lin Peng, Xuan-Fu Tong, Ji Wang, Jia-Xi Wang, Jun-Ge Wang, Ren-Zhong Wang, Shi-Zhen Wang, Ji-Yan Xia, Hui Xie, Qiang Xie, Yan Xie, Da-Jing Xiong, Zhan-Feng Yan, Hui Yang, Da-Zheng Zhang, Fu-Bing Zhang, Shi-Peng Zhang, Zhi-Cheng Zhang, Ji-Ping Zhao, Yu Zhao, Yun Zheng, Dan-Zhu Zhong, Li Zhou, Valentin Mikhailovich Knyazev, Irina Viktorovna Kostrova, Wing-Fai Yeung, Qi Wang, De-Yun Wang, Qin-Xiu Zhang

Research outputs 2022 to 2026

Allergic rhinitis (AR) is a prevalent chronic condition that significantly impacts patients' quality of life and poses challenges to effective management. Traditional Chinese medicine (TCM) offers a holistic approach, emphasizing syndrome differentiation, individualized care, and natural treatment strategies. To develop comprehensive evidence-based guidelines for AR management using TCM interventions, incorporating rigorous evidence assessment and expert consensus. The guidelines were developed using the GRADE-TCM framework, analyzing 351 randomized controlled trials (RCTs) involving 43,276 participants. Supplementary evidence from published textbooks, standardized documents, ancient literature, and TCM medical records was incorporated. Five rounds of expert consensus, involving 80 expert person-times and over 10,000 …

Prevention Of Dementia Using Mobile Phone Applications (Prodemos) – A Health-Economic Cost-Utility Analysis In People Aged 55–75 Years With Low Socio-Economic Status, Ron Handels, Marieke Hoevenaar-Blom, Manshu Song, Carol Brayne, Eric Moll Van Charante, Fiona E. Matthews, Junfang Xu, Linus Jönsson, Nicola Coley, Rachael Brooks, Xuening Jian, Tingting Qin, Youxin Wang, Wei Wang, Edo Richard, Anders Wimo

Research outputs 2022 to 2026

Introduction We aimed to explore the potential incremental cost-effectiveness of the PRODEMOS coach-supported mobile health intervention for primary prevention of dementia versus standard of care provided to people aged 55–75 years with low socio-economic status (SES) in the United Kingdom (UK), and any SES in China. Methods 12–18-month PRODEMOS trial (ISRCTN15986016) efficacy outcomes on hypertension, obesity, hypercholesterolemia, physical inactivity and smoking were extrapolated to lifetime impact on dementia onset, myocardial infarction, stroke and death using a health-economic open-source simulation model. Results Simulated outcomes showed dementia cases were avoided (UK = -206 (-658 to 281), China = -140 (-456 to 205) …

Growing Older Across Time And Space: The Impact Of Various Forms Of Capital On Social Support Networks Among Older Vietnamese Migrants, Hien Thi Nguyen, Lukasz Krzyzowski, Loretta Baldassar

Research outputs 2022 to 2026

Much has been written about the important role of social support networks (SSNs) for the well-being of older adults, encompassing their social, emotional and practical needs. Less is known about what happens to the SSNs of older people when they migrate, and even fewer studies have examined the impact of different forms of capital on these networks. Drawing on ethnographic interviews and participant observation with 22 older Vietnamese migrants in Australia (2020–21), this paper explores the influence of different forms of social, cultural, economic and symbolic capital on their SSNs. Data analysis comprised egocentric social network analysis of the connections …

A High-Throughput Assay For Monitoring And Quantifying Amyloid-Β Accumulation And Clearance In Alzheimer's Disease Cell Models, Ajish Ariyath, Fraulein Denise Arigo, Anna Fyfe, W. M.A.D.Binosha Fernando, Ralph Martins, Prashant Bharadwaj

Research outputs 2022 to 2026

Amyloidogenic proteins, such as amyloid-β (Aβ), self-assemble into cross-β fibrils whose accumulation is central to Alzheimer's disease (AD). Measuring Aβ aggregation and clearance in living cells remains challenging using current cell-based assays, which are often low-throughput or not suited for real-time monitoring. This study aimed to (1) develop a robust, quantitative, and scalable fluorescence-based assay using Amytracker to monitor Aβ accumulation and clearance in an Aβ-producing neuronal cell model, and (2) validate its utility for mechanistic studies and therapeutic screening. We established a plate-based fluorescence assay using Amytracker in MC65 neuronal AD model expressing the Amyloid precursor protein C-terminal fragment …

Beyond The First Bout: Adaptations To Repeated Injuries Across Physiological And Pathological Conditions, Cory W. Baumann, Christopher P. Ingalls, Kazunori Nosaka, Jarrod A. Call

Research outputs 2022 to 2026

Skeletal muscle exhibits remarkable plasticity following injury, yet most research has focused on responses to a single bout of eccentric contractions. This review addresses adaptations to repeated eccentric contraction–induced injuries across physiological and pathological conditions, with emphasis on insights from preclinical rodent models. In healthy muscle, the repeated bout effect (RBE) reduces strength loss and accelerates recovery after subsequent bouts. However, these adaptations are highly condition dependent. Aging can attenuate the RBE, while dystrophic muscle remains vulnerable to repeated injury despite compensatory remodeling. Other factors, including but not limited to, chronic alcohol intake and malignant hyperthermia can influence these responses, …

Student Engagement As A Predictor Of Stem Student Success, Mosab Shaher Abu Al Foul

Theses and Dissertations

This quantitative study investigates factors influencing engagement, persistence, and degree completion among underrepresented minority (URM) students in science, technology, engineering and math (STEM). Guided by Tinto’s Interactionist Model (1975) and Bandura’s Self-Efficacy Theory(1977), it examines how institutional practices and socioeconomic conditions contribute to inequities in student outcomes. Using a non-experimental, correlational design, the study analyzes National Survey of Student Engagement (NSSE) data and institutional records from a Midwestern Research 2 university (N = 620; URM subsample n = 52). Binary logistic regression, MANOVA, and t-tests were used to assess relationships among High-Impact Educational Practices (HIEPs), engagement indicators, faculty interaction, pre-college …

Mechanistic Investigation Of Arsenic Removal From Drinking Water Using Metal–Organic Frameworks And Granular Activated Carbon, Mousa Almousa

Theses and Dissertations

Arsenic contamination in groundwater represents a critical environmental and public health challenge due to its high toxicity and widespread occurrence in natural aquifers. Chronic exposure to arsenic, even at trace levels, is associated with severe health effects, including skin lesions and increased cancer risk. Conventional treatment technologies, such as adsorption using activated carbon or metal oxides, often suffer from limited selectivity, regeneration difficulty, and reduced efficiency under varying pH conditions. Therefore, developing advanced sorbent materials with high capacity, selectivity, and structural stability is essential for addressing arsenic pollution in decentralized water systems.Metal–organic frameworks (MOFs) have recently emerged as promising materials …

Additively Constructed Concrete Culverts (Acc), Eugene Kwabena Assuah-Damoah

Theses and Dissertations

Rural culvert systems in cold regions like North Dakota face rising replacement needs due to aging infrastructure, harsh deterioration, and limited precast supply. Additive construction with concrete (ACC) offers promise but is constrained by proprietary mix designs, limited validation for non-linear geometries such as ring-type pipes, and challenges in reinforcement integration. This study addresses these gaps through three efforts. First, a non-proprietary mix (MIX7, w/c = 0.37) using local materials achieved optimal printability (190–200 mm flow) and 28‑day strengths of 55–60 MPa; full-scale 18‑inch pipes met ASTM C76 Class II/III requirements. Second, literature shows ACC permanent formwork performance depends on …

Non-Terrestrial Colonial Security And Critical Contingency Operations, Augustine Gabriel Wesley Batten

Theses and Dissertations

Since the turn of the century, the dependence of state functionality and capability on cyber infrastructure has grown exponentially, resulting in an equally expanding list of means to exploit this dependency. Cyberattacks have demonstrated the ability to target the space industry and critical infrastructure beyond our atmosphere. The potential damage this growing threat can bring is what this research aims to prepare for and mitigate. The purpose of this research is to determine cyber-attack indicators and develop responses designed to mitigate the effects of worst-case scenarios. It is important to understand that this study included a theoretical scenario to address …

Wifi-Based Teleoperation System For A 3d-Printed Rc Car, Manvel Beaver

Theses and Dissertations

In the field of autonomous vehicle (AV) research, developers often face a significant gap between low-power hobbyist kits and cost-prohibitive industrial platforms. This thesis presents the design, integration, and validation of "Das Mueller," a high-performance, 1/10th-scale unmanned ground vehicle (UGV) designed to provide a transparent and cost-effective testbed for neural network development. By bridging the interoperability gap between the Donkey Car software framework and the 3D-printable Tarmo5 mechanical chassis, this project establishes a modular architecture centered on the NVIDIA Jetson Orin NX single-board computer.

The research utilizes a Model-Based Systems Engineering (MBSE) approach and rapid prototyping to address critical challenges …