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Articles 2491 - 2520 of 195898
Full-Text Articles in Engineering
Climbing Robot Design, Cali Good, Dawson Durr, Matthew Miller
Climbing Robot Design, Cali Good, Dawson Durr, Matthew Miller
Mechatronics Final Projects
Design Summary
Our device, shown in Figure 1, is an autonomous rope-walking robot designed to travel across a suspended climbing rope. The robot waits until it is hanging from the rope, moves forward using a walking arm mechanism, and stops when it approaches the marker at the end of the course. The system is fully self-contained, with onboard batteries, sensors, controls, and mechanical components housed inside a laser cut acrylic body. The robot moves using pairs of rotating arms located on both sides of the body. These arms hook around and push against the rope, creating a repeated walking motion …
Design And Verification Of The Multi-Slit Solar Explorer Camera Field Programmable Gate Arrays, Jordan M. Johnson
Design And Verification Of The Multi-Slit Solar Explorer Camera Field Programmable Gate Arrays, Jordan M. Johnson
All Graduate Reports and Creative Projects, Fall 2023 to Present
The Multi-Slit Solar Explorer, or MUSE, is a NASA mission that will take images of the Sun to study solar flares and the solar corona. The mission will provide insight into the mechanisms behind space weather. The mission consists of two cameras: the Spectrograph (SG), and the Context Imager (CI). The Utah State University Space Dynamics Laboratory is providing both cameras for the mission.
This report describes a part of the design and verification process for a central component on these cameras known as the Field Programmable Gate Arrays (FPGAs). These FPGAs are programmed to acquire, handle, and send images …
Spectral Characterization Of Colorectal Cancer Using Excitation-Scanning Hyperspectral Imaging, Natalie Hadad
Spectral Characterization Of Colorectal Cancer Using Excitation-Scanning Hyperspectral Imaging, Natalie Hadad
Honors Theses
Colorectal cancer is one of the most common and deadly cancers worldwide, with a lifetime risk of approximately one in twenty-three for men and one in twenty-five for women. Although early detection significantly improves survival, current diagnostic approaches such as tissue biopsy are invasive, reliant on subjective interpretation, have extended turnaround times, and risk missing flat or depressed lesions that are more difficult to detect than raised polyps. These limitations highlight the need for objective, minimally invasive technologies capable of detecting early tissue changes. This study investigates excitation-scanning hyperspectral imaging (Ex-HSI) as a label-free optical approach for identifying colorectal cancer–associated …
An Efficient Implementation Of Gibbs-Duhem Integration For Solid-Liquid Phase Coexistence In Binary Lennard-Jones System With Relevance To Aav Capsid Separation, Muhi Muntaka
Graduate Theses and Dissertations
Gene therapy using adeno-associated viruses (AAVs) holds promise for treating genetic diseases, but high manufacturing costs limit its widespread use. A major challenge is separating functional (full) AAV capsids from non-functional (empty) ones, which are produced in similar amounts and have nearly identical structures. Conventional purification methods, such as density gradient ultracentrifugation and chromatography, face drawbacks like low yield, poor scalability, and high cost, often requiring multi-step processes. Recently, selective crystallization has emerged as a promising alternative, offering improved efficiency, scalability, and product quality. However, optimizing this method requires a deep understanding of thermodynamic phase behavior in multicomponent systems. In …
Assessment Of Lake Water Quality Parameters Using Uav Hyperspectral Imaging, Hasanul Banna, Taufiqa Tajnin
Assessment Of Lake Water Quality Parameters Using Uav Hyperspectral Imaging, Hasanul Banna, Taufiqa Tajnin
Publications and Research
Monitoring water quality in lakes is critical for assessing ecosystem health, managing drinking water resources, and detecting harmful algal blooms. Unmanned Aerial Vehicle (UAV)–based hyperspectral imaging provides a promising approach for high-resolution observation of water quality parameters. In this undergraduate research project, hyperspectral imagery collected over sample lakes within the Delaware River Watershed was processed using BaySpec’s CubeStitcher software to assess its capability to detect variations in chlorophyll-a (Chl-a) concentrations. This work was conducted as part of a National Fish and Wildlife Foundation (NFWF)-funded project in collaboration with Princeton Hydro and NYC College of New York. Hyperspectral image cubes were …
Skip The Grid: Turning Solar Planning Into Power For Navajo Nation Homes, Alexandr B. Miller
Skip The Grid: Turning Solar Planning Into Power For Navajo Nation Homes, Alexandr B. Miller
Construction Management
Skip the Grid is a cross-disciplinary experiential learning initiative that delivers clean energy infrastructure to households with school-age children residing in the Navajo and Hopi Nations. In March 2026, a cohort of 23 students drawn from five academic programs at California Polytechnic State University (Cal Poly) joined forces with Heart of America (HOA), SOLV Energy, and NextPower to carry out the initiative's fifth consecutive year. The program aimed to enhance living standards and bolster academic achievement by ensuring dependable access to power, illumination, and food preservation in resource-limited communities. Participants were divided into five installation teams comprising Cal Poly students, …
A Multi-Criteria Decision And Spatial Modeling Framework For Socially Informed Advanced Air Mobility Implementation Planning, Noah Wesley Bretz
A Multi-Criteria Decision And Spatial Modeling Framework For Socially Informed Advanced Air Mobility Implementation Planning, Noah Wesley Bretz
Graduate Theses and Dissertations
Advanced air mobility (AAM) is an emerging mode of transportation that integrates advanced aircraft technologies, such as manned air taxis or unmanned freight drones, to transport people and goods across urban and regional environments. While these technologies promise to transform mobility, successful implementation depends heavily on community acceptance, which is shaped by multiple social factors. This study presents a multi-criteria decision framework to evaluate and prioritize the key social factors influencing AAM adoption. A literature review identified six primary social factors: safety, noise, privacy and cybersecurity, automation, environmental impact, and price and economics. The Analytical Hierarchy Process (AHP) was used …
Bridging Reaction Engineering And Polymers Design: Solvent Effects In Continuous Flow Copolymerization, Leila Ba
Department of Chemical and Biomolecular Engineering: Dissertations, Theses, and Student Research
Poly(glycidyl methacrylate-co-methyl methacrylate) [poly(GMA-co-MMA)] is a promising functional copolymer for photoresist applications due to its reactive epoxy groups and tunable physicochemical properties. This thesis is focused on this polymer and integrates theoretical solubility prediction, thermodynamic modeling, and continuous-flow synthesis to establish quantitative structure–process–property relationships for their use in microelectronic-grade solvents.
Solubility behavior in dimethyl sulfoxide (DMSO), propylene glycol monomethyl ether (PGME), and propylene glycol monomethyl ether acetate (PGMEA) was investigated using the Hildebrand and Hansen models, Hoy group-contribution method, Polymer Genome machine-learning platform, and Flory–Huggins thermodynamic analysis of Gibbs free energy of mixing. Experimental saturation solubility measurements at 25 °C …
Versatile Exoskeleton Control Paradigms For Agile Human Locomotion: Task-Agnostic And Stability-Augmented Assistance, Miao Yu
All Dissertations
Lower-limb exoskeletons have shown great potential for assisting human locomotion, but designing controllers that provide assistance across diverse locomotor tasks and under external perturbations remains a major challenge. Many existing controllers for steady-state walking rely on pre-defined reference trajectories, which constrain voluntary human motion and limit adaptability across tasks. Moreover, they usually assume stable walking, while their performance under unstable conditions remains largely unexplored. In addition, existing gait stability augmentation controllers are often reactive rather than proactive to unstable conditions. In this dissertation, we propose control frameworks that preserve voluntary human motion while addressing two major challenges: providing task-agnostic assistance …
Model Stormwater Standards 2026, Unh Stormwater Center
Model Stormwater Standards 2026, Unh Stormwater Center
UNH Stormwater Center
The purpose of post-construction stormwater management standards is to provide reasonable guidance for the regulation of stormwater runoff to protect local natural resources from degradation and prevent adverse impacts to adjacent and downstream land, property, facilities, and infrastructure. These standards regulate discharges from stormwater and runoff from land development projects and other construction activities to control and minimize increases in stormwater runoff rates and volumes, soil erosion, stream channel erosion, and nonpoint source pollution associated with stormwater runoff.
Effectiveness Of Quiz-Based Interventions In Virtual Reality Lectures On Learning, Mason T. Prather
Effectiveness Of Quiz-Based Interventions In Virtual Reality Lectures On Learning, Mason T. Prather
Master's Theses
This thesis examined whether quiz-based interventions affect learning during an immersive virtual reality (VR) lecture and whether quiz timing strategy matters when prompts are delivered on a fixed timer or through gaze/Region of Interest (ROI)-based attention timing. The study used an eye-tracking virtual reality headset and a game engine-based classroom application. The final completed cohort included 29 participants assigned to three between-subjects conditions: No Intervention (n = 10), Timer-Based Intervention (n = 9), and Attention-Based Intervention (n = 10). All participants viewed the same virtual reality lecture and completed the same 15-item post-lecture assessment. Mean learning scores were 44.00% for …
Hardware Integration Of Preamble Based 802.11a Wi-Fi Frame Location For Usrp Radios, Nicholas P. Margavio
Hardware Integration Of Preamble Based 802.11a Wi-Fi Frame Location For Usrp Radios, Nicholas P. Margavio
Honors Theses
Internet of Things (IoT) refers to a network of devices that can exchange information over the internet, and its deployments are projected to reach 30.9 billion by 2025, with most lacking encryption. One solution for these unencrypted devices is to use Specific Emitter Identification (SEI). SEI exploits distinct, native, and unintentional features of a radio’s signal to identify it and enhance wireless network security uniquely. For example, IEEE 802.11a Wireless-Fidelity (Wi-Fi) radio waveforms have a fixed structure that occupies the first 16 microseconds, from which SEI features can be extracted and used to identify the originating radio. By removing the …
A New Electroencephalography Electrode Design For Curly And Kinky Hair Types, Elena Butler
A New Electroencephalography Electrode Design For Curly And Kinky Hair Types, Elena Butler
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
Medical discrimination and implicit bias are present in both societal systems and into the design and validation of medical devices. Traditional electroencephalography (EEG) systems often fail to provide reliable physiological recordings on curly and kinky hair types (3B–4C), associated typically with Black American and others of African descent. EEG on these hair types often results in high electrode-scalp impedance, poor signal quality, and participant discomfort. Consequently, such technical biases contribute to the underrepresentation of these populations in neuroscience research and clinical diagnostics, while simultaneously limiting equitable access to EEG-based medical care.
To address this gap, a novel conductive electrode attachment …
Beyond Local Pathology: Exploring The Role Of Gut Microbiota In Chronic Low Back Pain Using An Integrated Behavioral And Microbiological Approach, Adan L. Redwine
Beyond Local Pathology: Exploring The Role Of Gut Microbiota In Chronic Low Back Pain Using An Integrated Behavioral And Microbiological Approach, Adan L. Redwine
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
Chronic low back pain (LBP) affects millions worldwide, often originating from intervertebral disc (IVD) degeneration. While the gut microbiome modulates musculoskeletal pain, prior studies of the gut-disc axis have focused entirely on structural changes. This leaves a critical gap: does the microbiome influence the experience of discogenic pain? To answer this, an integrated approach using longitudinal gut microbiome profiling, machine learning-based behavioral phenotyping, and structural disc assessments in a rat model of discogenic LBP was utilized.
Female Sprague Dawley rats underwent one of four conditions: sham surgery, IVD injury, antibiotic-mediated microbiome depletion + IVD injury, or IVD injury + treatment …
Design, Simulation, And Experimentation Of A Box Barge Model Under Asymmetrical Conditions, Kylie Sink
Design, Simulation, And Experimentation Of A Box Barge Model Under Asymmetrical Conditions, Kylie Sink
Senior Honors Theses
This study investigates the ability of numerical simulations to predict vessel motion responses under asymmetrical loading conditions. A raked barge model was designed, constructed, and tested in a towing tank to evaluate the response amplitude operators (RAOs) for heave, roll, and pitch under various wave conditions. The model included six internal compartments that allowed different flooding scenarios to be simulated in order to create asymmetric loading conditions. Experimental testing was conducted under head seas (0 degrees) and beam seas (90 degrees) with multiple wave periods.
A numerical model of the vessel was developed using GHS to generate predicted RAOs for …
Design And Evaluation Of A Single-Gate Multi-Threshold Null Convention Logic Architecture For Area Efficiency, John Edward Swaim
Design And Evaluation Of A Single-Gate Multi-Threshold Null Convention Logic Architecture For Area Efficiency, John Edward Swaim
Graduate Theses and Dissertations
Asynchronous circuit design paradigms, such as NULL convention logic (NCL) and Multi-Threshold NCL (MTNCL), offer increased energy efficiency over synchronous equivalents and robust pipelines with minimal timing analysis. However, their dependency on dual-rail signal encoding causes significant overhead compared to single-rail equivalents. Previous single-gate and single-rail NCL paradigms have sought to reduce circuit area, but most compromise their quasi-delay-insensitivity and correct-by-construction nature with logic gate and system-level design choices. This thesis presents Single-Gate MTNCL (SG-MTNCL), a register controlled, single-gate, and dual-rail asynchronous architecture to improve the area efficiency of MTNCL without compromising the reliability of previous paradigms. The benefits of …
A New Approach To Generate Combinatorial Patterns In Logical Analysis Of Data And Its Application To Predict College Retention, Salihah Ahmed E. Jaafari
A New Approach To Generate Combinatorial Patterns In Logical Analysis Of Data And Its Application To Predict College Retention, Salihah Ahmed E. Jaafari
Theses and Dissertations
Student retention and degree completion remain central challenges for higher-education institutions, with significant implications for student success, institutional effectiveness, and public accountability. While advances in predictive analytics have enabled earlier identification of students at risk of withdrawal, many commonly used machine learning approaches suffer from limited interpretability, constraining their practical usefulness for advising, intervention, and policy decision making. This dissertation addresses the problem of predicting student persistence by developing and evaluating optimization based, interpretable classification models within the Logical Analysis of Data (LAD) framework. Building on existing LAD formulations, this research introduces two novel pattern generation models, the Best Term …
Aircraft Fault Detection Via Weight And Bias Analysis Of A Custom First Neural Network Layer, George Harrison Chen
Aircraft Fault Detection Via Weight And Bias Analysis Of A Custom First Neural Network Layer, George Harrison Chen
Theses and Dissertations
Fault detection in aircraft is traditionally handled through redundant hardware and comparison algorithms to detect failures. Alternatives like model-based residual generation and data-driven approaches such as supervised fault classification and unsupervised anomaly detection have been explored, but they suffer from practical limitations; model-based methods require accurate system models, and data-driven methods have large constraints on the data limiting scalability and adaptability. This work presents a purely data-driven neural network architecture featuring a custom first layer designed for real-time fault detection where the weights and biases of this layer are used to detect faults. The network requires zero supervision and complements …
Moon Adaptive Technology For Extraterrestrial Architectural Robotics (Matear), Candela Noemi Solis Zampini
Moon Adaptive Technology For Extraterrestrial Architectural Robotics (Matear), Candela Noemi Solis Zampini
Theses and Dissertations
The Moon Adaptive Technology for Extraterrestrial Architectural Robotics (MATEAR) focuses on the development of an autonomous robotic system capable of providing structural building blocks directly from lunar regolith. As a sustained human presence on the Moon becomes a necessity, the costly and limited payload capacity associated with transporting construction goods from Earth creates a critical challenge. MATEAR addresses this problem through in-situ resource utilization (ISRU), integrating a regolith processing system onto a remote operated vehicle. The proposed system is designed to collect lunar dust, mechanically compact the material, and apply thermal treatment to enhance cohesion through sintering. These regolith-made bricks …
Exploring The Role Of Video Games In Civil Engineering Education And K-12 Stem Engagement, Jillian S. Codron
Exploring The Role Of Video Games In Civil Engineering Education And K-12 Stem Engagement, Jillian S. Codron
Architectural Engineering
Civil engineering education has traditionally emphasized a linear progression from theory to application, with foundational concepts introduced in lecture before being reinforced through laboratory or design experiences. While effective for advanced learners, this approach can limit early engagement for K–12 students who may struggle to connect abstract principles to realworld engineering practice. This project examines the use of video games as interactive, feedback-driven environments for introducing civil engineering concepts and practices to younger learners in more exploratory and accessible ways.
The study pursues four primary objectives: evaluating the educational affordances of selected video games; examining how gaming experiences have influenced …
Stretch Web Teleoperation Keyboard Final Report, Aaron Chou, Francisco Irazaba
Stretch Web Teleoperation Keyboard Final Report, Aaron Chou, Francisco Irazaba
Computer Engineering
This project added keyboard controls to the Hello Robot Stretch Web Teleop interface. The goal was to make the robot easier to control from a web browser without needing a gamepad or separate terminal-based keyboard program. The new interface allows users to control different parts of the robot with customizable key bindings.
Computational Fluid Dynamics Modeling Of Counter-Current Flow In Channels Separated By A Membrane, Akram Mashhour Riziq Abdullah
Computational Fluid Dynamics Modeling Of Counter-Current Flow In Channels Separated By A Membrane, Akram Mashhour Riziq Abdullah
Graduate Theses and Dissertations
Counter current flow in channels separated by membrane were studied in several published studies. The present study aims to numerically and analytically simulate and physically describe the distribution of pressure, volume flow rate and velocity in counter current flow module. Numerical simulation Computational fluid dynamics (CFD) was performed by solving Navier-Stokes (N–S) equations in the channels and membrane pores (vertical channels) to determine pressure and velocity fields. An analytical solution one-dimensional (1-D) model was developed to simulate the flow in the channels and membrane pores by solving the continuity and Darcy’s Law to obtain pressure and volume flow rate. Accordingly, …
Deep Learning For Predicting Impact Energy And Compression After Impact Strength Of Composite Materials Using C-Scan Images, K. T. Tan, Jason P. Mack, Faizan Mirza, Zhong-Hui Duan
Deep Learning For Predicting Impact Energy And Compression After Impact Strength Of Composite Materials Using C-Scan Images, K. T. Tan, Jason P. Mack, Faizan Mirza, Zhong-Hui Duan
University Research
Traditional assessment of post-impact performance in carbon fiber reinforced polymer (CFRP) composites often relies on simplified scalar metrics that fail to capture the complex spatial interactions driving failure. This study addresses this limitation by developing an automated, end-to-end deep learning framework that shifts from manual feature extraction to the direct interpretation of raw damage morphology from ultrasonic C-scans. Using a ResNet18-based convolutional neural network (CNN) trained on 1,428 augmented images, the model achieved coefficients of determination (R2) of 0.7948 ± 0.0847 for compression after impact (CAI) strength and 0.9436 ± 0.0098 for impact energy. Beyond prediction, this dual-purpose methodology serves …
Preclinical Animal Modeling To Investigate Redox-Mediated Molecular Dysfunction In Traumatic Brain Injury, Brandon Z. Mcdonald
Preclinical Animal Modeling To Investigate Redox-Mediated Molecular Dysfunction In Traumatic Brain Injury, Brandon Z. Mcdonald
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
Impacts associated with traumatic brain injury (TBI) induce a multitude of neurological morbidities mediated by a spread of biochemical dysfunction. Redox stress is a significant contributor to TBI pathophysiology and several redox stress markers have substantial evidence to support their role in diagnosing preclinical and clinical TBI. However, there is a critical need to verify their translational utility through correlations with behavioral, imaging, and molecular modalities. In chapter two, we examined the therapeutic efficacy of an antioxidant treatment (NPC3) using a controlled cortical impact (CCI) mouse model of TBI. NPC3 alleviated glial expression and reactivity while influencing the expression of …
Parallelism In Java, Matt Vierow
Parallelism In Java, Matt Vierow
Departmental Honors & Graduate Capstone Projects
Parallelism and multithreading have become an important facet of programming in recent years. Much work has been done in programming languages such as C and C++ with libraries such as OpenMP. However, less effort has been made to create parallelism tools in higher level languages such as Java. This is important because most programmers learn the basics in languages such as Python and Java that lack parallel tools like OpenMP. This means they must directly manage threads which requires knowledge of object-oriented programming and design.
This project sought to incorporate some elements of OpenMP into Java to allow newer programmers …
Investigating Calcium Oxychloride Deterioration In Concrete: Analyzing Variation In Laboratory Testing Procedures, Standardized Testing Protocols, And Industry Implementation., Joey Roy Parker
Graduate Theses and Dissertations
Abstract Access to sustainable infrastructure is critical for society. In the U.S., over $350 billion is spent annually to maintain roadways providing access to education, medical care, and citizen consumer needs. Maintaining service of these systems during severe winter weather events is a significant challenge for maintenance personnel across the country. The use of deicing/anti-icing materials to lower the freezing temperature is a popular mitigation technique used to provide reasonable driving conditions during these times. The combination of these materials, freeze/thaw cycles, and precipitation produce perpetual deterioration and corrosion within reinforced concrete pavements and bridges. In the U.S., over 60% …
Stakeholder Perspective-Taking In Engineering Design: A Neurocognitive Approach, Megan C. Taylor
Stakeholder Perspective-Taking In Engineering Design: A Neurocognitive Approach, Megan C. Taylor
Mechanical Engineering Undergraduate Honors Theses
Stakeholder engagement is a critically important yet overlooked phase of engineering design. While addressing stakeholders is known to lead to more thoughtful design outcomes, little work has been done regarding how stakeholder personas influence brain activity while designing. This study asks if the introduction of stakeholder personas- short overviews of people affected by a design problem- affects brain activation in undergraduate students during three design tasks: stakeholder identification, stakeholder needs generation, and stakeholder needs prioritization. To test this, 18 undergraduate mechanical engineering students were given a stormwater management design vignette; one group was given four stakeholder personas, while the control …
Pilot Age And Accident Rates In General Aviation: Analysis And Recommendations, Jackson E. Jolley
Pilot Age And Accident Rates In General Aviation: Analysis And Recommendations, Jackson E. Jolley
Mechanical Engineering Undergraduate Honors Theses
General aviation accounts for approximately 94% of all civil aviation accidents in the United States, highlighting the need to examine how pilot characteristics and operational factors influence accident risk. With the Federal Aviation Administration (FAA) projecting continued growth in the general aviation pilot population, this study examines the relationship between pilot age, flight experience, and accident risk to inform training and safety interventions. Using the National Transportation Safety Board (NTSB) accident records from 2008–2024, along with FAA pilot registration data, we analyze age-related trends in accident likelihood, risk, and phase-of-flight distributions in general aviation operations.
Results show an approximately exponential …
Tribological Evaluation Of A Graphite Coating Using A Custom Miniature Conveyor, Shae Threlfall
Tribological Evaluation Of A Graphite Coating Using A Custom Miniature Conveyor, Shae Threlfall
Mechanical Engineering Undergraduate Honors Theses
Reducing friction in conveyor systems has significant economic and environmental implications, as a substantial portion of energy losses originates at the belt-bed interface. This thesis outlines the design, construction, and validation of a miniature conveyor tribological test system. Unlike conventional tribometers, which impose concentrated point contacts, the miniature conveyor replicates the distributed load consistent with industrial conveyor systems. It can measure real-time mechanical responses of steel samples coated in a low friction coating.
The mini conveyor was validated by evaluating three materials: uncoated mild steel, PDA/graphite coated steel, and Polytetrafluoroethylene (PTFE). Electrical power, temperature, sound, and acceleration were recorded. Electrical …
Turbulent Plenum Jet-Crossflow Validation Via Subgrid Scale Model Variation And Upstream Forcing Under Dynamic Hybrid Rans-Les, Cole W. Mccallum
Turbulent Plenum Jet-Crossflow Validation Via Subgrid Scale Model Variation And Upstream Forcing Under Dynamic Hybrid Rans-Les, Cole W. Mccallum
Mechanical Engineering Undergraduate Honors Theses
In modern gas turbine design, film cooling has become ubiquitous as a method for limiting heat transfer between high temperature gases post-combustion and the surface of downstream blades. This paper validates the use of various computational fluid dynamics techniques in recreating an experiment measuring adiabatic effectiveness over a surface downstream of a compound-angle N2 plenum jet incident on a turbulent-air boundary layer [1]. To do this, both RANS and Dynamic Hybrid RANS-LES (DHRL) methods are implemented and compared to previous research [2]. The latter method is then modified through implementation of a different subgrid scale (SGS) model and through addition …