Engineering Commons^™

Tac-It An Affective Computing User Interface Design, Andrew Biron

Theses and Dissertations

TAC-IT affective computing user-interface design is an independent computer peripheral that is a tool to be utilized to obtain a user’s self-reported emotional state in real-time. Doctor Rosalind Picard first coined and used the term affective computing in her paper Affective Computing [Picard, R. (1995)]. Affective Computing is defined as the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. Since that time, areas of research have expanded exponentially, and areas of interest include how to trigger emotions in a test …

Improving Robustness Of Learning-Based Approaches In Autonomous Systems And Engineering Education, Godwyll Aikins

Theses and Dissertations

This dissertation advances the development of robust learning-based approaches across two complementary domains: engineering education and autonomous systems. Through four studies, this research addresses critical challenges in preparing data-proficient engineers and developing reliable autonomous systems that can operate under uncertainty and incomplete information. The engineering education study examines how mechanical and aerospace engineering undergraduates conceptualize and develop data proficiency skills essential for modern engineering practice. Through interviews with 27 students, the research employs the How People Learn framework to analyze student perspectives on information literacy, data interpretation, and computational thinking. The findings inform pedagogical strategies for developing data proficiency in …

Using Nano-Ities For Detection Of Metal Ions In Complex Aqueous Solutions, Mohammed Muzammil Nishar Ahmed

Theses and Dissertations

Recent urbanization has induced a rapid increase in heavy metal exposure to humans. The exploitation of heavy metals for economic gains coupled with poor and economically infeasible recycling methods have led to poor management of heavy metal wastes, which has opened up several pathways for heavy metals to enter the human body. Such heavy metals target many vital organs, but the early symptoms are common and difficult to diagnose. Severe symptoms appear in later stages and are very expensive to treat and the damage caused to the health are not typically reversable in such later stages. To counter this issue, …

Adsorption Of Harmful Algal Bloom Toxins Using Biochar, Cadianne Chambers

Theses and Dissertations

Harmful Algal Bloom (HAB) events involve the proliferation of microalgae which discharge lethal toxins into fresh and brackish water bodies due to anthropogenic and climatic activities. Common examples of HABs include causative organisms such as Cyanobacteria, Pyrodinium bahamense and more. These genera are known to release potent toxins including Microcystins, and Saxitoxins, respectively, which can seriously endanger human and marine health. Ingestion of these toxins can result in several health problems, such as nausea, vomiting, gastroenteritis, skin irritation, liver damage, paralysis, and respiratory arrest. The Great Lakes, Gulf of Maine, Florida’s coasts, Lake Erie, and Lake Okeechobee have all been …

Effect Of Roadway Lighting On Safety In Utah, Samuel Lewis Runyan

Theses and Dissertations

A significant portion of severe crashes and severe crashes involving vulnerable road users, 29 percent and 39 percent respectively, occur at night in Utah, despite roughly only 25 percent of traffic occurring at night. Nighttime crash causes are less understood than daytime crashes as there are fewer nighttime crashes, but it is generally assumed that increasing street lighting can help mitigate these crashes. To test this assumption, the Utah Department of Transportation was interested in developing Crash Modification Factors (CMFs) specific to the state of Utah which correlate the quantity and quality of light to crash outcomes, to observe how …

Identifying Redundant Audio Content Over Cloud Environment Using Deduplication Techniques, Venkatesh K

Theses and Dissertations

Cloud computing has become an integral part of modern internet-based services, with users relying heavily on cloud environments as primary storage solutions. However, the exponential growth in data volume presents a challenge (i.e) the proliferation of duplicated content within cloud repositories. Deduplication techniques provide a promising approach to mitigate this issue. This research focuses on detecting redundant audio content within a cloud environment, specifically targeting the sharing of extensive audio files, such as those in Waveform Audio File Format (WAV). The study proposes the Refined Super Subset Identification Algorithm (RSSIA) to efficiently identify redundant content and segments within existing audio …

Aircraft Control, Collision Avoidance, And Remote Autonomy In Scenarios With Ground Radar Information, Jaron Charles Ellingson

Theses and Dissertations

Unmanned aircraft systems (UAS) have become integral to various modern applications, including package delivery, security, medicine, and recreation. The autonomous operation of UAS significantly enhances their utility by improving performance and reducing operator workload, enabling collaborative missions such as boundary detection, border protection, and target tracking. To ensure safe integration of UAS, more work needs to be done in the areas of control, estimation, collision avoidance, path planning, hardware implementation, and autonomous practices in general. For this dissertation we chose to focus on the critical areas of control, collision avoidance, and remote autonomy. Our research is motivated by the need …

Implementing The Safe System Approach At Intersections In Utah, Ian Patrick Macgregor

Theses and Dissertations

This thesis investigates the principles and elements of the Safe System Approach, a new paradigm in roadway safety. A compendium of practice was created to determine recommendations on how to implement the Safe System Approach at intersections and observe how other jurisdictions are implementing it. Several strategies identified include the Safe Systems at Intersections (SSI) methodology, Safe System Alignment Frameworks, Vision Zero communities, incorporating the Safe System Approach into the Strategic Highway Safety Plan (SHSP) or Highway Safety Improvement Program (HSIP), mandating the Safe System Approach be considered in all projects, and the Organizational Safety Culture Self-Assessment. These policies do …

Computational Study Of The Evolution Of The Grain Boundary Network During Anisotropic Grain Growth, Jose Nino

Theses and Dissertations

The grain boundary network (GBN) of polycrystalline materials changes during grain growth, affecting the material's properties. This research presents the results of fully anisotropic grain growth simulations. We perform simulations using three GB energy functions: an energy function that considers a GB's 5 degrees of freedom, the Read-Shockley model, and isotropic. We analyze the impact of these energy functions on the morphological evolution and various microstructural statistics, such as crystallographic texture and triple junction distribution. The results demonstrate that while individual grain evolution varies with GB energy function, certain microstructural statistics reach similar steady states across different models. In addition, …

Compliant Structures Facilitate Less Invasive And Biomechanically Improved Lumbar Spinal Implants, Daniel J. Orr

Theses and Dissertations

Implants used in lumbar spinal fusion and lumbar total disc replacement procedures have improved substantially over the years, however, the opportunity remains to improve either the adjustability, durability, motion, or minimally invasive characteristics which could aid in achieving optimal surgical outcomes. It is hypothesized that the inherent advantages of compliant mechanisms specifically Deployable Euler Spiral Connectors (DESCs) and a new mechanism known as the interior contact aided rolling element (I-CORE) are well suited for each of these applications and will be explored and utilized as the basis of these proposed designs. By addressing these challenges, the research endeavors to improve …

Investigating Spatiotemporal Trends Using Precursory Signatures: Implications To Develop Short-Term Earthquake Forecasting Techniques In Sumatra-Andaman Region, Ramya Jeyaraman J

Theses and Dissertations

Earthquake forecasting is a challenging field due to Earth's heterogeneous nature. This research aims to develop a short-term earthquake forecasting model by analyzing spatiotemporal trends and precursory signatures in the Sumatra-Andaman region, known for its high seismic activity and tsunami risk. The study adopts an interdisciplinary approach, integrating solid earth tides (SET), micro shocks, and outgoing longwave radiation (OLR) to gain deeper insights into seismic nucleation processes. The research begins by using Singular Spectral Analysis (SSA) to identify potential seismically vulnerable areas through the analysis of irregularities in SET.

A spatiotemporal analysis of micro shocks is conducted to assess the …

Investigation On The Impact Of Loading Effect Of Fruit Juices On The Performance Of Pulsed Electric Field Generators, Devi S

Theses and Dissertations

Pulsed Electric Field (PEF) treatment is one of the efficient non-thermal food processing techniques which is being preferred as a replacement for thermal pasteurization methods. The effectiveness of PEF treatment was measured in terms of reduction in the microbial load in the food, extension of shelf life of the food and retention of nutritional properties of the food. The successful implementation of the PEF treatment depends upon various aspects such as design of pulse generator, parameters of pulse generator, shape and size of the treatment chamber and most importantly the characteristics of each food items. Design and fabrication of a …

Biodegradable Polymeric Microspheres For Magnetically Guided Drug Delivery To Tumors, Tyler Payson Green

Theses and Dissertations

This thesis investigates the feasibility of utilizing biodegradable polymeric microspheres loaded with the anticancer drug 5-fluorouracil (5FU) and superparamagnetic iron oxide nanoparticles (SPIONs) to magnetically deliver the cancer therapeutic 5FU to a target tumor in the human body. The primary method of material loading consisted of a w/o/w double emulsion mechanism which 1) loads and protects 5FU in the inner water phase consisting of distilled water and polyvinyl alcohol (PVA), 2) dispersed SPIONs in the biodegradable polymeric organic phase consisting of methylene chloride (MeCl2) for eventual magnetic transport, and 3) suspended these w/o emulsion droplets in an outer aqueous phase …

Nature Inspired Optimization For Spectrum Sensing And Allocation In Cognitive Radio Networks, Saravanan R

Theses and Dissertations

Cognitive radio (CR) refers to intelligent radio technology that scans its environment to optimize spectrum use and adjusts its parameters accordingly. It employs a communication system that is aware of its surroundings, including spectrum usage and availability. A key aspect of CR is identifying idle channels by analyzing traffic patterns using effective learning strategies.

However, CRNs face challenges such as cross-layer design issues, spectrum sensing errors, hidden node problems, and complex spectrum management. Spectrum sensing is critical for accessing unused radio spectrum while minimizing interference. Efficient sensing techniques must be cost-effective, fast, and capable of detecting weak primary signals. Although …

Biofabrication Of Tissue Constructs Using Protein-In-Polysaccharide Bioinks For Muscle Regeneration, Harshavardhan B

Theses and Dissertations

Myocardial infarction (MI) and volumetric muscle loss (VML) are debilitating conditions that severely affect patient quality of life and challenge healthcare systems, particularly in diagnosis and treatment. Conventional therapies often result in long recovery periods with limited functional restoration. Advances in regenerative medicine, especially extrusion-based 3D bioprinting, offer promising potential to improve the regeneration of complex tissues by precisely depositing cells and biomaterials layer-by-layer to create tailored tissue constructs.

A critical challenge in muscle tissue regeneration is developing protein-polysaccharide bioinks that closely mimic the native muscle tissue microenvironment. In this study, two protein-inpolysaccharide bioinks (alginate-fibrinogen and methylcellulose-gelatin-alginate) were developed to …

Integrating Gis And Ca-Markov Model To Study Urban Dynamics Of Salem, India In Terms Of Pattern, Intensity And Direction, Linda Theres B

Theses and Dissertations

Urban populations have grown substantially in the modern era and the information age as people seek better living prospects. Currently, more than half of the world's population resides in the cities. Such growth must be monitored to ensure that people enjoy the boons of urban spaces, not the banes. Recognising the significance of urban studies, several researchers have attempted to analyse and predict urban dynamics using remote sensing, Geographic Information Systems, and machine learning methods. However, certain limitations exist, especially in improving the CAMarkov model's prediction performance. In addition, studies have suggested that growth characteristics, such as pattern, intensity, and …

Impaired Speech Recognition Of Neurological Disorder Persons Using Machine Learning And Deep Learning Techniques, Vishnika Veni S

Theses and Dissertations

Speech Assistive Tools have emerged in recent years to support individuals with cognitive and neurological disorders in the field of assistive technology. People affected by neurological disorders such as autism, stroke, cerebral palsy, dysarthria, Parkinson’s disease, and brain injury often find it difficult to articulate desired sounds, resulting in impaired speech. As the population of impaired speakers continues to increase every year, there is a strong need to develop intelligent speech recognition systems for affected individuals. The primary objective of this research is to develop an Impaired Speech Recognition (ISR) system for the Tamil language. Word Recognition Accuracy (WRA) is …

Automation, Improvement, And Sensitivity Analysis Of 3d Parameterized Maize Stalk Models, Joseph Steven Carter

Theses and Dissertations

Maize is the most grown crop in the world. Each year, 5% of maize is lost due to a phenomenon known as stalk lodging (breakage of the stalk below the ear). One of the most promising solutions to stalk lodging is to design stalks with superior geometry to increase stalk strength. Researchers have developed a 3D parameterized maize stalk model, but these models take a long time to structurally analyze and are missing important material properties. This thesis addressed these problems by developing an automated package for analyzing the 3D parameterized maize stalk model, and by measuring the longitudinal shear …

Actuation And Stabilization Of Volume-Efficient Origami-Inspired Mechanisms, Hunter T. Pruett

Theses and Dissertations

Trends in the aerospace industry are driving payloads to be smaller and less expensive while yet delivering comparatively large antennas. Deployable reflectarray antennas (RA) are the object of much research to meet these demands because they operate in a flat plane and are easier to stow than parabolic reflector antennas. Because they operate in flat plane, deployable RAs are well-suited to thickness-accommodated origami-inspired mechanisms. This work addresses pattern selection and modification, thickness accommodation, actuation, and stabilization of origami-inspired mechanisms intended to be used as RAs. First, a modified Miura-ori pattern termed volume-efficient Miura-ori (VEMO) is introduced, selected for its ability …

Magnetic Resonance Imaging Of Ultrasound Fields For Visualization And Measurement Of Pressure Amplitudes, Paul-Emile Victor Passe-Carlus

Theses and Dissertations

In vivo pressure estimations for therapeutic ultrasound has the potential of rendering treatments using non-invasive ultrasound targeting safer and more reliable. By quantifying pressures and their respective spatial locations, better acoustic predictions and models can be made. In this thesis, we aim to measure a pressure field from a piezo-electric transducer through a ballistic gel medium by using an external gradient coil to encode the pressure field in a way that can be read and quantified using an MRI scanner. We describe the methods and the results pertaining to visualizing a pressure field. The setup was able to capture pressure …

Development Of Temperature Measurement And Control Of 3d Printed Microfluidic Devices Towards Biomolecular Analysis, Derek A. Sanchez

Theses and Dissertations

Microfluidics are devices with channels or reservoirs that have dimensions in the range of micrometers. They have an increasing role in biological analysis processes due to their ability to use very small sample volumes. Many microfluidic processes rely heavily on precise temperature measurement and control. Advances in 3D printing have led to high resolution digital light processing stereolithography (DLP-SLA) printers capable of using bio-compatible materials, available at BYU. This custom 3D printer has a resolution of 7.6 µm in the XY plane and 10 µm in the Z axis. Combined with a custom-made resin, we can produce microfluidic features as …

Design And Analysis Of Optimal Energy Efficient Routing Protocols For Lifetime Maximization And Qos Enhancement In Wireless Body Area Networks, Karthikeyan S

Theses and Dissertations

In recent times, Wireless Body Area Networks (WBAN) a subsection of Wireless Sensor Networks (WSN) a promising technology for the future healthcare realm with cutting-edge technologies that can assist healthcare professionals like doctors, nurses and biomedical engineers which enables one-to-one care by implementing Tele-Medicine and Tele-Health solutions. Machine Learning (ML) and Internet of Things (IoT) enabled medical big data is the future of the healthcare sector and Medical Technology-based industries leading to applications in other sectors such as fitness tracking for commercial purposes, Sportsperson health monitoring to track their day-to-day activities and wearable devices for critical and emergency care.

Recent …

Thermo-Structural Analysis Of Stiffened Fgm Panels With Cutout Under Non Uniform And Localized In-Plane Edge Loadings, Balaraman P

Theses and Dissertations

Most aerospace applications involve structural components with a high stiffness-toweight ratio and excellent resistance to high temperatures. Buckling, vibration as well as other forms of instability are the consequences of a non uniform stress field caused by non uniform, localized edge loadings and the presence of discontinuities. In order to improve structural properties and increase load bearing capacity, designers concentrate on structural integrity, especially in high-temperature applications. The adaptability and customizable nature of functionally graded material (FGM) make it valuable in addressing these challenges.

Metal-ceramic FGM is an advanced composite material that integrates the distinctive qualities of metal and ceramic …

Synergistic Approaches For Microstructural Refinement, Enhanced Mechanical And Wear Behaviour In Additively Manufactured 17-4 Ph Stainless Steel, Pradeep Kumar S

Theses and Dissertations

The surface and microstructural characteristics of additively manufactured parts play a significant role under mechanical loading. Due to its high strength, tailorable mechanical properties by heat treatment, and ease of printability, the 17-4 precipitation hardened (PH) stainless steel is gaining attention in the additive manufacturing (AM) field.

Selective Laser Melting (SLM), one of the laser-based powder bed fusion (L-PBF) processes, is capable of making fully dense metallic parts with high geometrical fidelity and greater design flexibility at high resolution. The main factors limiting the adoption of SLM are poor surface roughness, anisotropic microstructure, and the formation of micro-pores in the …

Development Of Brain Tumor Detection And Feature Extraction Through Deep Learning Approach, Sivapathi A

Theses and Dissertations

As the body's central control system, the human brain is susceptible to a wide variety of disorders, including tumors characterized by abnormal cell growth. It is imperative to detect these tumors as early as possible to plan effective treatment and improve patient outcomes. By using contemporary medical imaging methods, this research seeks to improve the accuracy and efficiency of brain tumor detection through the careful preprocessing and analysis of images, particularly Magnetic Resonance Imaging (MRI) [1]. To provide context for the subsequent research efforts, the challenges inherent in brain tumor detection are discussed comprehensively, including segmentation accuracy, small lesion detection, …

Evaluation Of Bridge Deterioration Factors: From Design Parameters To Community Impact., Lawrencia Akuffo

Theses and Dissertations

The structural health and economic variables influencing the state of bridges in New Jersey are thoroughly examined in this thesis. The predictive modeling of bridge conditions using stepwise selection and linear logistic regression approaches is the primary focus of the opening chapter. With its precise predictions about bridge condition, either being fair/good, our model offers insightful information about resource allocation and maintenance by identifying bridge features which affect the deterioration of bridges the most. This gives effective infrastructure management, which not only relies on the identification of the important predictors and their effects on bridge conditions but also ranks them …

Integrating Digital Twin Technology For Real Time Blockage Detection In Water Cooled Electronics, Richard Scott Hainey Jr.

Theses and Dissertations

This paper presents a culmination of research into integrating Digital Twin (DT) technology in water-cooled electronic systems to improve system reliability by detecting faults in the cooling system that maintains the proper operation of heat-producing electronic components and systems. A DT is a virtual representation of a physical twin (PT). This PT can represent real-world systems, individual components, or processes. Using the DT, operators can gain insight into the behavior and characteristics of the PT, thereby facilitating informed decisions to improve its health and optimize processes. The DT system is designed to detect obstructions forming in the waste heat-producing components …

Investigation And Comparative Analysis Of Onset Of Nucleate Boiling (Onb) In A Narrow Rectangular Channel In Microgravity And Earth Gravity Environments, Fahim Foysal

Theses and Dissertations

Understanding the onset of nucleate boiling (ONB) in different gravitational environments is crucial for a wide variety of industrial and space applications of flow boiling systems for thermal management. This thesis provides a comparative analysis of ONB in both microgravity (µg) and Earth gravity (1g) environments, with the aim of identifying the key differences. NASA’s experimental facility called Flow Boiling and Condensation Experiment (FBCE) equipped with Flow Boiling Module (FBM) was used for both the experiment onboard the International Space Station (ISS) and on Earth. The experiment was conducted in a rectangular channel of 5mm (depth) ×2.5 mm (width) ×114.6 …

Feasibility Study Of Perovskite Solid Electrolyte For Electrochemical Lithium-Ion Cells, Danyi Sun

Theses and Dissertations

To achieve a high energy density in lithium-ion batteries (LIB), replacing the graphite anode with lithium metal is essential, as it offers a theoretical capacity of 3840 mAh/g.(Q. Wang et al. 2021) However, the use of lithium metal anodes is restricted by the formation of lithium dendrites, which can cause short circuits.(Wood et al. 2016) Solid-state electrolytes present a viable alternative to conventional liquid electrolytes by potentially mitigating dendrite growth. Among these, the perovskite-type Li3/8Sr7/16Ta3/4Zr1/4O3 (LSTH) stands out due to its excellent ambient stability, although its synthesis, properties, and applications remain underexplored.(Y. Li et al. 2018) In this study, I …

Investigating Electrochemical Performance And Interfacial Stability Of Solid-State Lithium Metal Batteries: A Study Of Hybrid Polymer-Ceramic Electrolyte Systems, Ziba Rahmati

Theses and Dissertations

Solid-state batteries (SSBs) are emerging as a promising energy storage technology, surpassing traditional liquid electrolyte (LE) counterparts in performance and safety. A critical component in SSBs is the solid-state electrolyte (SSE), which plays a pivotal role in safety, efficiency and stability. SSEs, including sulfides, halides, oxides, and polymers, present distinct advantages and challenges compared to LEs. Among these, oxide-based SSEs are particularly attractive for their balance in ionic conductivity and chemical stability.

This study addresses key challenges related to interfacial stability and electrochemical performance in SSBs by focusing on hybrid polymer-ceramic electrolyte systems. A major challenge to such a SSB …