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A Data-Driven Framework For Uav Trajectory Prediction And Abnormal Motion Detection Using Remote Id Telemetry, Rania Amin
Theses and Dissertations
Unmanned aerial vehicle (UAV) systems are increasingly being adopted across commercial, industrial, and autonomous applications, creating a growing demand for intelligent monitoring techniques that improve operational safety, situational awareness, and airspace management. Among recent research directions in UAV systems, trajectory analysis and behavior monitoring have become essential for supporting reliable and scalable UAV operations. This thesis investigates two complementary challenges in UAV monitoring: trajectory prediction and abnormal motion-deviation detection.The first part of this thesis focuses on UAV trajectory prediction under incomplete observation conditions. A deep learning framework was developed to estimate future UAV positions using historical flight information and maintain …
Inline Spectroscopy Of Foley Drainage Urine Under Free-Flow And Chaotic Flow Conditions To Detect Optical Signatures Of Urinary Constituents And Measure Urine Quality, Kordell Mitchell Bernaldez Tan
Inline Spectroscopy Of Foley Drainage Urine Under Free-Flow And Chaotic Flow Conditions To Detect Optical Signatures Of Urinary Constituents And Measure Urine Quality, Kordell Mitchell Bernaldez Tan
Theses and Dissertations
Foley catheter drainage systems remain largely passive, and assessment of urine passage, drainage interruption, and changes in urine appearance continues to depend on intermittent visual inspection, nursing documentation, caregiver observation, or delayed laboratory testing. Optical monitoring through the drainage-tube wall could provide objective information without opening the closed drainage pathway or placing sensors in direct contact with urine. This dissertation investigated the feasibility of a clamp-on multispectral optical platform for detecting urine passage and measuring wavelength-dependent optical changes under static and free-flowing drainage conditions.The investigation followed a staged medical-device development approach. Literature reviews characterized monitoring needs in acute, chronic, community, …
Generative Ai As A Pedagogical Partner For Postsecondary Cte Instructors, Audrey Dieken
Generative Ai As A Pedagogical Partner For Postsecondary Cte Instructors, Audrey Dieken
Theses and Dissertations
Postsecondary Career and Technical Education (CTE) instructors bring valuable industry experience to the classroom. However, they often lack formal pedagogical training which can create challenges in curriculum and instructional design. New instructors often struggle in their first few years, and this frustration may lead them to burnout and possibly attrition. This dissertation in practice explored whether a professional development on Generative AI (GenAI), specifically MagicSchool.ai, can bridge this pedagogical gap. The goal was to equip postsecondary CTE instructors with timesaving, on-demand curriculum development support through an online, asynchronous professional development (PD). The PD addressed how GenAI has the ability to …
On Design Of Sustainable Additively Manufactured Composite And High Performance Ceramic Structures, Awad E Ahmed Elhassan
On Design Of Sustainable Additively Manufactured Composite And High Performance Ceramic Structures, Awad E Ahmed Elhassan
Theses and Dissertations
This thesis presents two complementary approaches for developing sustainable engineering materials through additive manufacturing and advanced ceramics. The first study investigates the utilization of recycled wind turbine blade waste as reinforcement in Selective Laser Sintering (SLS) of Nylon 12 composites. Composites containing 5 vol.% resin powder and 4.65 and 18.82 vol.% wind turbine waste were fabricated in both solid and porous configurations, and evaluated for their mechanical, tribological, and surface properties. The results demonstrated that 4.65 vol.% reinforcement provided the optimal balance between mechanical performance and sustainability, while 18.82 vol.% significantly enhanced the wear resistance. The second study focuses on …
Malware Detection And Behavioral Analysis In Iot Environments: A Multi-Study Deep Learning Approach, Emmanuela Andam
Malware Detection And Behavioral Analysis In Iot Environments: A Multi-Study Deep Learning Approach, Emmanuela Andam
Theses and Dissertations
Internet of Things devices face a growing volume of malware, and detection systems run into two practical problems: too little labeled data exists for a threat when it first appears, and malware families often resemble each other too closely for flat feature representations to separate. Both problems were addressed on the Ransomware Dataset 2024 using two purpose-built architectures. Detection paired an autoencoder with a meta-learning classifier that adapted from a single labeled example, reached 87.6% accuracy at one-shot, and outperformed standard baselines through fifty-shot. Classification used a state-space sequence model that captures relationships between features a flat vector misses, and …
Identification And Development Of Improved Monitoring For Wildlife-Vehicle Collisions In North Dakota, Lawson Frey
Identification And Development Of Improved Monitoring For Wildlife-Vehicle Collisions In North Dakota, Lawson Frey
Theses and Dissertations
Wildlife-vehicle collisions (WVCs) represent a significant ecological and public safety concern across the United States, yet data collection systems in many states remain insufficient to capture the true magnitude and taxonomic breadth of collision-related mortality. North Dakota, where WVCs account for approximately 18% of all reported crashes, relies almost exclusively on law enforcement collision reports governed by high property damage thresholds, a protocol that systematically excludes the majority of species and underestimates total mortality. This study addresses these data gaps through three complementary approaches conducted in North Dakota from 2021 to 2025. First, we conducted systematic weekly carcass surveys across …
Geographic 3d-Digital Preservation Tools And Applications In Heritage Tourism, Ricardo Alejandro Gomez-Nieto
Geographic 3d-Digital Preservation Tools And Applications In Heritage Tourism, Ricardo Alejandro Gomez-Nieto
Theses and Dissertations
This thesis is more a micro-case study than usual in historical geography focused on land use change, historic preservation, heritage tourism, and informal education at the Grand Forks County Historical Society Museum Village in Grand Forks, North Dakota. The research questions focused on the interconnections of the relationships among people’slocation value, the reinterpretation of the location through historical lenses, and the sequence occupance of the area. The research methodology was grounded in traditional themes of historical geography and was a mixed methods style of data collection and data analysis. The tools of inquiry emphasized the use of 3D imaging, aerial …
Impact Of Active Learning On Student Performance In An Introductory Atmospheric Science Laboratory Course, Kassidy Danae Kjos
Impact Of Active Learning On Student Performance In An Introductory Atmospheric Science Laboratory Course, Kassidy Danae Kjos
Theses and Dissertations
Little investigation into pedagogy in atmospheric sciences has been conducted. While numerous studies across STEM disciplines have examined and demonstrate active learning (AL) is beneficial to student performance, fewer than fifty explored atmospheric sciences specifically. This study expands upon these few existing studies by evaluating a diverse set of AL strategies implemented into introductory meteorology laboratories. Five AL techniques (Think-Pair-Share, Game-Based, Role-Playing, Diagramming, and Gallery Walks) were implemented between two semesters across multiple laboratory sections. Student performance is analyzed using the laboratory and its accompanying lecture curriculum assessments, as well as through pre- and post-tests. Results indicate students exposed to …
Deep Learning For Lithium-Ion Battery Status Monitoring: Robust State-Of-Charge And Trustworthy State-Of-Health Estimation, Mingwei Lei
Theses and Dissertations
In electric vehicle and energy storage applications, the reliable operation of safety-critical battery management systems (BMS) relies on accurate, real-time estimation of the state of charge (SOC) and state of health (SOH). Although data-driven methods show great potential, their practical application is primarily constrained by two major challenges. First, battery operation under real-world conditions involves continuously varying factors—such as temperature, aging stages, and dynamic cell characteristics—making it impossible to exhaustively cover all scenarios during laboratory data collection. This discrepancy often leads to a significant decline in estimation performance due to the domain shift problem. Second, engineering practice requires a balance …
Dual Credit In North Dakota: High School Administrators’ Perceptions And Experiences, Kayla Marie O'Toole
Dual Credit In North Dakota: High School Administrators’ Perceptions And Experiences, Kayla Marie O'Toole
Theses and Dissertations
Dual credit opportunities continue to expand across North Dakota, providing high school students with opportunities to earn college credit while completing high school coursework. Despite this growth, participation in dual credit varies among high schools across the state. The purpose of this study was to examine high school administrators’ perceptions and experiences regarding dual credit programming in North Dakota. The study was guided by the following research question: What perceptions about dual credit exist among high school administrators, and what are their experiences?This study used a survey-based research approach to collect data from high school administrators throughout North Dakota. It …
Testing The Efficacy Of A Non-Invasive, Epidermal, Marker-Based Method For Conducting X-Ray Reconstruction Of Moving Morphology (Xromm) On A Cadaver Chicken, Brian Skillman
Theses and Dissertations
X-Ray Reconstruction of Moving Morphology (XROMM) is widely used to understand the kinematics of living organisms. The first of two standard methods for utlizing XROMM is to surgically implant X-ray dense markers within the bones of interest and euthanize the subject at the conclusion of testing, referred altogether as marker-based. The other standard, known Scientific Rotoscoping, or markerless, involves using thorough videography of the subject and manual bone orientation within the data collection program. These standards both pose unique issues, such as post-surgery complications for marker-based and time constraints for markerless. We investigate an intermediate method for utilizing XROMM involving …
Investing In Tomorrow's Citizens: Exploring Generation Alpha Middle School Students' Perspectives On Civics And Education, Talia Luccia Vazquez
Investing In Tomorrow's Citizens: Exploring Generation Alpha Middle School Students' Perspectives On Civics And Education, Talia Luccia Vazquez
Theses and Dissertations
Democracy requires maintenance from an active, informed citizenry, yet civic literacy in the United States has been rapidly declining while its democratic structures face systematic subversion. To reverse this, educational researchers have recommended increasing time for K–12 civics education. While devoting more time to middle school civics education could help rebuild a civically literate citizenry, public middle schools face the unique challenge of teaching a student population that is experiencing rapid physical and psychological development, alongside a well-documented dip in academic motivation and engagement. Tailoring civics education to be academically motivating to the current student demographic—Generation Alpha—requires an understanding of …
The Design And Economics Of An Electrolysis-Based System For Tribal Nation Green Hydrogen Infrastructure, Frank Yeboah
The Design And Economics Of An Electrolysis-Based System For Tribal Nation Green Hydrogen Infrastructure, Frank Yeboah
Theses and Dissertations
This thesis develops technical and economic analyses for a community-scale system that utilizes excess renewable energy to generate green hydrogen and oxygen which can be used by Tribal Nations to improve their energy infrastructure. Many Tribal Nations, such as the Mandan, Hidatsa and Arikara Nation, the Turtle Mountain Band of Chippewa Indians and the Prairie Band Potawatomi Nation, are still energy insecure due to aging infrastructure, geographic remoteness and reliance on outside utilities. The use of renewable energy is growing, but the intermittency of solar and wind generation without long-duration storage is an issue. One possible solution is to use …
Uncertainty And Sensitivity Analysis Of Lithium-Ion Battery Performance With Recycled Materials: A Physics-Based Computational Framework Approach, Abdurahman Ajumobi
Uncertainty And Sensitivity Analysis Of Lithium-Ion Battery Performance With Recycled Materials: A Physics-Based Computational Framework Approach, Abdurahman Ajumobi
Theses and Dissertations
The global transition to a net-zero energy economy is increasing demand for lithium-ion batteries (LIBs) and positioning battery recycling as an essential component of future supply chains. However, recycled battery materials exhibit variability due to mixed feedstocks, heterogeneous black-mass compositions, degradation histories, and recycling processes. The resulting uncertainty in material properties can affect battery performance, yet physics-based methods for quantifying these effects remain limited.This dissertation presents a novel computational framework for uncertainty quantification (UQ) and global sensitivity analysis (GSA) of lithium-ion battery performance using recycled cathode materials. The framework combines the Doyle-Fuller-Newman (DFN) electrochemical model, implemented in PyBaMM, with a …
Robotic Arm-Assisted Structured-Light 3d Reconstruction For Large-Area Surface Modeling, Ahmed Elfarran
Robotic Arm-Assisted Structured-Light 3d Reconstruction For Large-Area Surface Modeling, Ahmed Elfarran
Theses and Dissertations
This dissertation develops and evaluates a robotic arm-assisted structured-light 3D reconstruction framework for improving reconstruction accuracy and surface coverage under practical experimental conditions. The system integrates camera-projector calibration, Gray-code projection, X/Y decoding, triangulation, MATLAB-based geometric correction, robotic multi-view acquisition, point-cloud alignment, and stitching. First, a tilted-projector structured-light setup was tested with the projector positioned approximately 20 degrees relative to the object plane. This non-ideal configuration introduced global tilt and geometric distortion in the raw point cloud. After correction, the RMSE decreased from 2.8 mm to 0.9 mm, the tilt error decreased from 4.5 degrees to 0.8 degrees, and the dimensional …
Exploring Instructor Engagement With Aviation Safety Messaging At Und: A Pilot Study, Brendan Aug
Exploring Instructor Engagement With Aviation Safety Messaging At Und: A Pilot Study, Brendan Aug
Aviation Student Publications
Effective communication of safety information is critical in fostering a strong safety culture within collegiate aviation. This pilot study explores how flight instructors at the University of North Dakota (UND) engage with two safety communication tools: The ASAP Spotlight email update and the 60-Seconds for Safety flyers. A 25-question survey distributed to active UND Line Flight Instructors examined engagement levels, behavioral impact, perceived effectiveness, and preferred communication methods. Descriptive statistics, correlations, and an exploratory factor analysis were used to evaluate responses across four constructs: engagement, behavior, perception, and communication preference. Results indicate that while instructors do generally engage with and …
Facilitating Conditions And Gender Gaps: Predicting Intention To Adopt Digital Education Resources Among Teachers, Bijaya Shrestha, Virginia Clinton-Lisell
Facilitating Conditions And Gender Gaps: Predicting Intention To Adopt Digital Education Resources Among Teachers, Bijaya Shrestha, Virginia Clinton-Lisell
Education, Health & Behavior Studies Student Publications
This study examined factors shaping school teachers’ intention to adopt Digital Educational Resources (DER) in Kathmandu Valley, Nepal, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Factors included were performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioural intention. Fifty-six (56) teachers completed an online survey measuring those factors. Among all the factors, facilitating conditions were the marginally significant positive predictor of behavioural intention to adopt DER. Male teachers reported marginally higher behavioural intention (p =.05) to adopt DER compared to female teachers. However, gender was not a significant moderator in relationship between behavioural intention …
A Brief List, Sarah Golden
In The Depths Of Space, Joseph Zimbleman
Flower Seller, Robin Whittington
Alive, Zoe Wanner
Deadline, Jay Kupitz
One-On-One Vs. Group Health Coaching: Impact On Weight, Knowledge And Well-Being., Julie Nelson
One-On-One Vs. Group Health Coaching: Impact On Weight, Knowledge And Well-Being., Julie Nelson
Nursing Capstones
This DNP scholarly project completed a retrospective review, comparing the effectiveness of one-on-one versus group-based health and wellness coaching in improving outcomes related to weight loss, health knowledge, and participant perceptions of well-being. The project reviewed existing, de-identified data from adults who previously completed a coaching program focused on healthy behavior change. Coaching was delivered in either a group or one-on-one format, and outcome measures included changes in weight, knowledge of healthy behaviors, and participant reported impressions of overall health and wellness. The aim of the project was to determine if the delivery method of coaching impacts outcomes, thus informing …
Improving Nurse Burnout With Wellness Activities During Break Times, Alyson Sigvertsen
Improving Nurse Burnout With Wellness Activities During Break Times, Alyson Sigvertsen
Nursing Capstones
Nursing burnout continues to be a critical concern in healthcare worldwide. Due to a lack of physical, emotional, and mental breaks, burnout has a high prevalence in the nursing profession. Burnout leads to reduced patient quality of care, higher staff workload, increased risk of errors, delay in care, and reduced job dissatisfaction. Nursing staff who do not take their scheduled breaks are more at risk for burnout because of the strong correlation between burnout and lack of rest (Stutting, 2023). For nurses to take their scheduled breaks is a common practice; however, nurses report continued stress as their break includes …
From Awareness To Action: Developing Protocols For Tardive Dyskinesia Aims Screening Among Mental Health Clinicians, Annette Pratt
From Awareness To Action: Developing Protocols For Tardive Dyskinesia Aims Screening Among Mental Health Clinicians, Annette Pratt
Nursing Capstones
Tardive dyskinesia (TD) is an often-irreversible movement disorder linked to prolonged antipsychotic treatment. It is under-recognized in mental health settings due to inconsistent or absent screening. Early identification with validated tools such as the Abnormal Involuntary Movement Scale (AIMS) is advised but not routinely performed, resulting in delayed diagnosis and poor management. The Doctor of Nursing Practice (DNP) project aims to improve TD detection by implementing a standardized AIMS screening protocol using a quasi-experimental, pre- and post-test design. Project components include prescriber education and demonstration using the AIMS tool. Participants are mental health prescribers managing antipsychotic medications. Expected outcomes include …
Responsible Ai Practices In Engineering Programming, Mohamed Elfaham
Responsible Ai Practices In Engineering Programming, Mohamed Elfaham
AI Assignment Library
This project demonstrates how responsible AI tools can be integrated into engineering programming assignments to support learning, debugging, verification, and critical evaluation while maintaining student accountability and independent problem-solving skills.
Spring Undergraduate Commencement: May 16, 2026, University Of North Dakota
Spring Undergraduate Commencement: May 16, 2026, University Of North Dakota
UND Commencement Programs
UND Spring Undergraduate Commencement program from May 16, 2026.
Spring Graduate School Commencement: May 16, 2026, University Of North Dakota
Spring Graduate School Commencement: May 16, 2026, University Of North Dakota
UND Commencement Programs
UND Spring Graduate School Commencement program from May 16, 2026.
The Pebble In The Shoe, Marcos Fernandez Tous
The Pebble In The Shoe, Marcos Fernandez Tous
The Cicadian
This piece offers an introspective reflection by an educator at the University of North Dakota, blending phenomenological perspectives on the nature of education with the embodied experience of participating in a sweat lodge. Framed by a meandering walk across campus, the narrative interweaves several thematic threads: the tension between clarification and explanation, the values that should guide technology education, and the role of nature with its inherent, chaotic vitality. Although the text adopts a stream‑of‑consciousness approach, it does so without leaning on the established stylistic traditions of Proust, Joyce, or Faulkner. The work is also poetic in tone, suggesting that …
Badlands And Bison, Andrew Ressler
Badlands And Bison, Andrew Ressler
The Cicadian
“Badlands and Bison” is a fragmentary travel-fiction hybrid set in the mythic badlands of North Dakota. It merges reportage with invention, parody with elegy: a narrator half pilgrim, half comedian drifts from piano keys to prairie herds, searching for sincerity in a landscape that resists it. The form bends between essay and story, using humor, lyric observation, and shifting registers to question how we mythologize place.