Engineering Commons^™

Implementation Of Unscented Kalman Filter-Based State Estimation For Multiple Spacecraft Using Global Positioning System Measurements, Bala Prenith Reddy Gopu

Theses and Dissertations

This study presents an implementation of state estimation for a drag-based rendezvous mission involving multiple chaser spacecraft and a single target, using Unscented Kalman Filtering (UKF) with Global Positioning System (GPS) measurements. The implemented method combines GPS navigation solutions with UKF to provide real- time state estimates of all spacecraft involved. Nonlinear least squares method is employed to process pseudorange and pseudorange rate measurements to determine receiver states, UKF utilizes these states as measurements to estimate absolute space- craft positions and velocities. This implementation also addresses practical challenges including raw GPS measurement processing, and varying GPS satellite geometries.

Improving Home Security Through User Centered Device Positioning, Lalith Nadipalli

Theses and Dissertations

In today’s world, where technology is advancing rapidly and security threats are becoming more complex, the need for effective home safety measures is more critical than ever. Homeowners are increasingly turning to a variety of smart devices, such as smoke detectors, carbon monoxide detectors, and security cameras, to protect their living spaces against potential dangers like burglary, fire, and environmental hazards. These devices offer essential protection, acting as both early warning systems and visual surveillance tools. However, their effectiveness largely hinges on how well they are placed within the home. Proper placement of these safety devices ensures that they provide …

C-Band Air To Ground Communication System For Uav, Mubark Alghamdi

Theses and Dissertations

C band spectrum 5030-5091 MHz is allocated for command-and-control communication services with unmanned aircraft systems. This document evaluates the possibility of using 3GPP 5G standards for provisioning of such services. Channelization of the spectrum and major system parameters are proposed. The performance of the proposed system in channel fading environment is evaluated using MATLAB based simulations. The evaluations examine SINR, and average throughput of the proposed system at different altitudes of the unmanned aircraft system. MATLAB simulations are used to evaluate system performance in free-space environments. Signal-to-Interference-plus-Noise Ratio (SINR) and Reference Signal Received Power (RSRP) are predicted at different UAS …

The Impact Of System Transparency On Perceived System Reliability, Perceived System Usability, And Information Clarity In Self-Driving Car Systems, Uditkumar Nair

Theses and Dissertations

In human-computer interaction (HCI), the development of autonomous vehicle (AV) technology has created new difficulties, especially in building user confidence as well as understanding of system functioning. The effect of system transparency on user- centered outcomes, such as perceived usability, perceived system reliability, and information clarity, is examined in this thesis. In order to evaluate their experiences in both ordinary and high-stakes driving situations, participants engaged with both system- transparent user interfaces (TUIs) and non-transparent user interfaces (NTUIs) across a number of experimental scenarios. In order to assess how well each interface conveyed system logic and actions, the study included …

Developing End-To-End Imitation Learning For Asteroid Proximity Operations, Patrick David Quinn

Theses and Dissertations

Asteroid exploration remains a popular topic in the scientific community, however hurdles still exist for controlling spacecraft within the asteroid environment. Communication delays often require the usage of limited onboard computing hardware for navigation. Additionally, long mission timelines must be accommodated with highly efficient fuel use. Considering these issues, it is apparent that any guidance, navigation, and control (GNC) system in these spacecraft should emphasize both computational and fuel efficiency in its design. Furthermore, the integration of a robust state estimation system is necessary for the successful deployment of such systems. The development of a controller aiming to address these …

Advancing Precision And Autonomy In Agriculture And Medical Imaging Through Ai And Computer Visions, Tan-Hanh Pham

Theses and Dissertations

Deep learning has revolutionized numerous fields by enhancing precision, automation, and decision-making capabilities. This dissertation explores its applications in agriculture and medical image processing, introducing novel methodologies to improve accuracy and efficiency in these domains. These fields hold critical societal importance -- agriculture underpins global food security and sustainability, while medical imaging drives advancements in diagnostics and personalized healthcare, both benefiting significantly from data-driven innovations. In agriculture, deep learning is applied to precision spray systems through droplet analysis. Specifically, a generative model is designed to create synthetic droplet images, addressing the challenge of limited training samples, which are expensive …

Mixed-Mode Fracture Analysis Of Additively Manufactured Periodic Orthotropic Functionally Graded Microcellular Materials, Behnam Shahbazian

Theses and Dissertations

The quest for safety, efficiency, and innovation in aerospace engineering demands a relentless focus on understanding how materials and structures behave under extreme and complicated loading conditions. Among the many challenges faced by engineers in this field, predicting and preventing structural failure stands out as both a fundamental necessity and a complex problem. Fracture mechanics, the science of how materials fail under stress, is a cornerstone of this effort. Whether it is the fuselage of an aircraft enduring cyclic loading or the lightweight components of a spacecraft resisting impact, the ability to accurately predict fracture behavior directly influences the reliability …

Use Of Pushed-In Pencel Pressuremeter Test For Shallow Foundation Design In Florida Fine Sands, Brhane Weldeanenya Ygzaw

Theses and Dissertations

A comprehensive evaluation was conducted on the performance, consistency, and practical application of various in-situ geotechnical testing methods for predicting the settlement and bearing capacity of shallow foundations in Florida’s fine sands. The methods assessed include the Standard Penetration Test (SPT), Cone Penetration Test (CPT), Dilatometer Test (DMT), pushed-in PENCEL Pressuremeter Test (PPMT), and the pre-bored TEXAM Pressuremeter Test. A dual approach controlled indoor testing at the FDOT State Materials Office (SMO) and field investigations at three representative sites (Kingsley, Trenton, and the UCF research site), formed the experimental foundation.

Over thirty settlement prediction techniques and thirteen bearing capacity estimation …

Cross-Dataset Fairness Evaluation Of Transformer-Based Sentiment Models, Sara Zuiran

Theses and Dissertations

With the growing exploration of Natural Language Processing (NLP) systems in decision-making environments, it is essential to evaluate technical and ethical aspects of the dataset and the NLP model to improve fairness. To assess fairness, the thesis examines demographic imbalances in sentiment classification models by evaluating transformer-based models fine-tuned on the Stanford Sentiment Treebank version 2 dataset (SST-2) against the demographically annotated Comprehensive Assessment of Language Model dataset (CALM). This work identifies performance disparities in sentiment prediction across demographic groups by examining sensitive attributes such as gender and race. The study evaluates both the RoBERTa and MentalBERT transformer models using …

The Prototype Of A Fully Automated Pressuremeter For Various Geotechnical Applications, Anuar Akchurin

Theses and Dissertations

The geotechnical engineering field requires high-quality in-situ testing equipment that ensures consistency in the test execution. This research focuses on developing and testing a prototype of a fully automated pressuremeter control unit to allow the industry to obtain reliable and controlled stress-strain data, thereby improving efficiency and reducing testing time.

The objectives of this work are to design and develop a system with the necessary components to perform the pressuremeter test, integrate the testing procedure into the state machine design, enable automated testing, and validate the results by comparing the stress-strain data with that obtained from the existing hand-operated pressuremeter …

Trends In And Factors Associated With Science Achievement Among Eighth Graders In Saudi Arabia: A Secondary Analysis Of Timss Data, Roba Alzahrani

Theses and Dissertations

This secondary analysis examined trends in and factors influencing science achievement among eighth-grade students in Saudi Arabia, using data from the Trends in International Mathematics and Science Study (TIMSS). However, Saudi Arabia's performance on the TIMSS science assessments fell below the international average, from 2003 through 2019. In addition, gender differences in science achievement have been observed, with female students outperforming male students by 30 or more points. This study addresses two problems: factors associated with the lower performance of Saudi students on TIMSS science assessments compared to global standards, and the small number of studies which explored factors which …

Fpso Motion In Synthetic Environments: Stereo-Driven Deep Learning For Wavefield Reconstruction, Motion Analysis, And Mooring System Assessment, Omar Jebari

Theses and Dissertations

This dissertation presents an integrated synthetic environment for simulating the motion and monitoring the integrity of a moored Floating Production Storage and Offloading (FPSO) vessel. The central hypothesis is that synthetic data-driven approaches can (1) accurately estimate spatio-temporal wave fields, (2) predict vessel motion, and (3) monitor the integrity of the mooring system—using stereo imagery of the wave field and structure motion, both of which can be acquired in real time. The first study develops a synthetic framework for estimating spatial wave fields using stereo images captured by dual cameras mounted on a moving FPSO. Dynamic sea states and vessel …

Co-Designing Manufacturing Systems For Robustness And Resilience: A Decision-Based Design Perspective, Mathew Baby

Theses and Dissertations

Manufacturing systems (MSs) comprise various stakeholders associated with the manufacture and supply of products required by customers and are interrelated by the flow of materials and information. The interrelated stakeholders make system-specific decisions and stakeholder-specific decisions across multiple levels of a decision hierarchy to satisfy many conflicting system-specific and stakeholder-specific requirements that define system and stakeholder performances. Given the stakeholder interrelations and conflicting nature of system-specific and stakeholder-specific requirements, system and stakeholder performances are correlated and conflicting.

In the Industry 5.0 era, there is an increased emphasis on the creation and equitable distribution of value among all the stakeholders in …

Blink-Related Brainwaves As Digital Biomarkers For Cognition Assessment During Complex Tasks, Lexine Carmlixa Sibert-Jolissaint

Theses and Dissertations

Blink-related oscillations (BROs) are neurophysiological responses observed in electroencephalography (EEG) following spontaneous blinking, reflecting the brain processing of new visual information. Prior research has demonstrated BRO responses across various cognitive states, such as resting, cognitive loading, and sensory stimulation, highlighting their potential as a non-invasive biomarker of brain function. We conducted the first investigation of BRO responses during a verbal fluency (VF) task, which is a complex, dynamic task state combining memory, visual perception, executive function, and language processing. Using publicly available EEG data from 22 healthy adults, we measured BRO responses over the left anterior frontal region corresponding to …

Offering A Manufacturing Curriculum Online To Rural Schools: The Case Of The Nimm Project, Raymond A. Dixon, Farjahan Shawon

Journal of Research in Technical Careers

This case study examined the extent to which the two implemented manufacturing pathways of the NIMM project successfully facilitated access and engaged high school students from rural regions in two manufacturing curricula. The program consisted of two tracks or career pathways for manufacturing technicians: Mechanical CADD technician and Electro-Mechanical technician. The Mechanical CADD program was delivered online, and the Electro-Mechanical program was delivered online and through a summer skills academy. Findings include, students showed less preference for CTE manufacturing courses in an online asynchronous format, CTE instructors need to be trained to teach online, proper IT infrastructure is needed for …

How Do Parents Influence Female Students' Engineering Trajectory?, Niloufar Bayati, Cameron Denson

Journal of Research in Technical Careers

Using the Parental Socialization Framework, this research provides a detailed analysis of how early STEM exposure, parental confidence in abilities, and gender-neutral upbringing contribute to the development of STEM identities among women. Employing a hermeneutic phenomenological approach, six undergraduate women engineering majors were interviewed in-depth about their parents' influence on their STEM pathways. The findings reveal that parents' high academic expectations, confidence in their daughters' abilities, verbal and non-verbal encouragement, and early STEM opportunities are pivotal in steering female participants toward engineering. The study also underscores the importance of creating a gender-neutral environment that allows girls to explore and develop …

Development Of A Probabilistic Interaction Rule And Failure Pressure Model For Pipelines With A Colony Of Corrosion Defects, Kiswendsida J. Kere

Civil and Environmental Engineering Faculty Research and Publications

The interaction effect originating from a defect colony can pose a higher pipeline failure risk than the case when such possible interaction is not considered. Recognizing the limitations in existing models that can lead to inaccurate pipeline integrity assessment, the goal of this study is to develop a probabilistic interaction rule and predictive burst failure pressure model for pipelines with a colony of corrosion defects. First, a comprehensive database of burst failure pressure for pipes with a colony of corrosion is established that encompasses a wide range of influencing factors (e.g., spacing, defect sizes, and material properties) on the defect …

A Novel Macroscale Model For Deformation Twinning In Magnesium Alloys, Daniel S. Kenney

Doctoral Dissertations and Projects

The characterization of deformation twinning in magnesium alloys is evaluated with macroscale modeling to predict material behavior and microstructure evolution with Internal State Variables (ISVs). Twinning in magnesium presents key challenges with constitutive modeling at the macroscale where the large number of grains with individual slip/twin must be generalized. This research proposes the Kearns factor (Kearns, 1965) as a method for quantifying the crystallographic texture associated with twinning and shows how the change in Kearns factors is associated with tension-compression asymmetry, anisotropic yielding and hardening, and anisotropic lateral strains. The material model developed in this work proposes a second rank …

Exploring Veto Activity: Dnam-1-Cd155 Axis In Overcoming Nk Cell-Mediated Allo-Rejection And Applications For Car-T Cell Therapy, Wei-Hsin Liu

Dissertations and Theses (Open Access)

As Miller et al. defined veto activity, it enables cells to target host cytotoxic T lymphocyte (CTL) precursors specific to veto cells' antigens, selectively eliminating anti- donor T cell clones without inducing rejection. By leveraging this unique immune property, two key research aims were proposed: “Exploration of the Impact of Veto Activity on Natural Killer (NK) Cell-Mediated Allo-rejection” and “Development of Off-the- shelf Chimeric Antigen Receptor (CAR)-T Therapy: Engineering Anti-Viral Veto CD8+ T Cells”. As demonstrated in our previous research, in a murine model with mild conditioning, anti-third-party central memory CD8+ veto T cells (veto Tcm) can prevent T cell- …

Retrofitting Farm Equipment With Airflow Sensors, Jacob Bybee

Undergraduate Honors Capstone Projects

In the Fall of 2024, our farm in Idaho upgraded our equipment from conventional seeding drills to more modern and sophisticated air seeder drills, particularly the John Deere 1900 Commodity Air Cart and John Deere 730 Air Disk Drill. In our case, this equipment was purchased used at an auction and had been a little modified. One modern convenience that this certain 730 Drill did not come with was a blockage monitoring system to alert the operator that a seed distribution tube was no longer distributing seeds. My question the became: Can an affordable, reliable airflow sensor system be designed …

Understanding And Modeling Pooled Rideshare Acceptance: Influential Factors, Preferred User Experiences, And Implications, Rakesh Gangadharaiah

All Dissertations

Ridesharing allows people to share a vehicle with others traveling in the same direction, which can reduce costs and traffic congestion. Pooled rideshare (PR) services, such as UberX Share and Lyft Shared, offer an economical and environmentally friendly alternative by matching passengers traveling similar routes. However, despite these benefits, PR adoption remains low due to concerns about safety, privacy, and convenience. This research explores the factors influencing PR adoption and provides recommendations to improve user acceptance. A nationwide survey of 5,385 participants across the U.S. was conducted to understand why people choose or avoid PR. The study identified five key …

Sensor Data Fusion For Air Quality Monitoring, Mirna Hesham

Theses and Dissertations

Since traditional air quality monitoring methods often rely on geographically sparse and costly air quality monitoring stations, image-based air quality method- ologies are recently offering a compelling alternative that utilizes images from sources like satellites, traffic cameras, and even smartphones to monitor pollution levels by using estimation models, image-processing techniques, and deep-learning models. In this thesis, we first conduct a systematic review, in which we categorize and discuss the existing literature work. Moreover, we introduce a novel, multi- modal dataset designed to address the limitations of existing datasets, which are restricted in size, geographical coverage, and fixed-scene imagery, impeding the …

Modelling Virus Filtration And Virus Reduction By An Advanced Multilayer Model: Retention Distribution And The Effect Of Product Aggregates, Hironobu Shirataki, Remo Leisi, Junji Hdaka, S. Rancil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

Robust virus reduction and high permeability are characteristic properties of virus filters, which are modeled as having an asymmetric multilayer membrane structure with a pore size distribution. In this study, an advanced heterogeneous multilayer model for the multicomponent solution containing viruses, protein monomers and aggregates, has been developed to reproduce the filtration behavior, virus reduction, and virus/protein retention distribution in the virus filter with asymmetric membrane structure. Calculations based on the multilayer membrane structure with consideration of the effect of aggregate size and concentration numerically reproduce the experimental results that virus LRV (log reduction value) decreases when a large number …

The Food Truck: A Multi-Product Newsvendor With Trans-Shipment Cost, Samuel Ajibola

Electronic Theses and Dissertations

The Newsvendor Problem is a key model in supply chain management that focuses on determining the optimal order quantity to minimize costs under uncertain demand. This thesis introduces the Food Truck Problem, an extension of the Newsvendor model that incorporates nonlinear transshipment costs for inventory transportation. In this context, a Food Truck must determine the optimal stock levels for multiple products while minimizing costs related to stock shortages, excess inventory, and transportation. Unlike traditional Newsvendor models, our approach explicitly considers a quadratic transshipment cost, which necessitates the use of Lagrangian duality and Karush-Kuhn-Tucker (KKT) conditions for analysis. Moreover, we apply …

Training Lander For Rover Arm Testing, James Peck

Undergraduate Honors Capstone Projects

The purpose of this honors capstone project is to design and fabricate a training lander to support the Utah State University (USU) rover team in preparation for the University Rover Challenge (URC). The URC is an international collegiate competition featuring four missions, one of which—the Equipment Servicing Mission—demands a high level of robotic arm functionality and operator skill. Historically, USU's rover teams have struggled to qualify for the URC finals, in part due to limited hands-on training opportunities with the robotic arm.

To address this gap, the training lander replicates the tasks found in the URC Equipment Servicing Mission, such …

Data Science For Engineers, Heidi Moulton

Undergraduate Honors Capstone Projects

Undergraduate research is a core pillar of Utah State University’s College of Engineering. Many students become involved with research during their Junior and Senior years and begin to generate various forms of data. Most students, however, have received little formal education on how to process data, and there are currently no readily available resources within the College of Engineering. As a Mechanical Engineering and Data Science double major, I found the data processing techniques I learned in my Data Science courses invaluable as an undergraduate researcher, and now as a Mechanical Engineer at Apogee Instruments, I frequently draw upon these …

Evaluating The Self-Healing Capabilities Of Engineered Cementitious Composite Mixtures, Emma W. Baggett

Undergraduate Honors Capstone Projects

Engineered cementitious composites (ECC) is a class of ductile fiber-reinforced concrete designed to exhibit strain-hardening and multiple fine microcracking, instead of large brittle cracks, under tensile loading. The presence of high volume of non-hydrated cement particles in ECC have demonstrated self-healing potential of cracks in ECC. This study evaluates the influence of two ECC additives, limestone powder and crumb rubber, on the self-healing performance of ECC. Three ECC mixture designs were developed: a control mixture, a limestone powder-modified mixture and a crumb rubber modified mixture. Self-healing was monitored over a period of 90 days under alternating wet and dry conditions …

Fairness And Robustness In Decentralized Federated Learning, Kaichuang Zhang

Theses and Dissertations

Federated Learning (FL) has emerged as a privacy-preserving paradigm that allows multiple clients to collaboratively train a machine learning model without sharing raw data. However, traditional FL relies on a central server for model aggregation, which introduces a single point of failure and makes the system vulnerable to server-side attacks or breakdowns. To address these limitations, Decentralized Federated Learning (DFL) has been proposed, eliminating the need for a central server and enhancing system resilience. Despite these advantages, DFL faces critical challenges related to fairness and robustness, especially under non-i.i.d. data distributions and adversarial conditions. In this thesis, we propose a …

Tribological Characterization Of Laser Microtextured Ti-6al-4v Eli Alloy For Biomedical Applications, Nicholas Ricardo Perez

Theses and Dissertations

Titanium alloys have been gaining popularity in multiple fields due to their impressive physical properties, but struggle with poor tribological performance. This thesis aims to mitigate the poor tribological performance of titanium alloys through a laser microtexturing process. Ti-6Al-4V ELI (Extra Low Interstitial) alloy disks were evaluated against ultrahigh molecular weight polyethylene (UHMWPE) and polyether ether ketone (PEEK) pins. Four texturing patterns were created by changing the texture area fraction from 5 to 20% that were evaluated against untextured control samples. The tribological properties of the laser textured Ti-6Al-4V ELI disks were determined using a pin-on-disk tribometer under lubricated sliding …

Spin Coater Design With Pid Algorithm Using Polynomial Regression Approach And Bias Tuning For Tio2 Deposition Process, Geo Surya Andika, Nofrijon Sofyan, Donanta Dhaneswara, Akhmad Herman Yuwono

Journal of Materials Exploration and Findings

The thin-film deposition technique using spin coating offers a cost-effective alternative to Chemical Vapor Deposition (CVD) and Physical Vapor Deposition (PVD). The spin-coating process requires precise control of the motor drive system to ensure that the rotational speed, measured in rotations per minute (RPM), aligns with the set point and remains stable. This study presents the design and development of a spin coater prototype to achieve uniform thin-film deposition. The control method employed utilizes a Proportional-Integral-Derivative (PID) algorithm, incorporating a polynomial approach with bias tuning. The PID control was chosen to achieve stable operation in a non-linear system. The performance …