Engineering Commons^™

Developments On Abbreviations Towards Machine Reading Comprehension, Sing Choi

UNLV Theses, Dissertations, Professional Papers, and Capstones

Machine reading comprehension is a critical step in development of applications that require the semantic understanding of human speech-to-text driven work. Many devices such as smart home appliances like the Amazon Echo Dot, Google Home, or smart assistants like Apple Siri or Microsoft Cortana are examples of these applications. The comprehension task involves a deeper understanding and recognition of named entities such as person names, locations, medicals codes, quantities, abbreviations, and acronyms in speech or text data. In this dissertation, we explore and extend the different approaches and techniques in modern research that tackles the problem of recognition and definition …

Efficient Wattle Design For High-Level Nuclear Waste Tanks, Jasmine B. Clarke

UNLV Theses, Dissertations, Professional Papers, and Capstones

At the Hanford Site in Washington state and the Savannah River Site in South Carolina, there are underground steel tanks that hold high-level nuclear waste (HLW) and nearly 450 million curies of radioactivity. At these sites, some leaks have been detected in HLW tanks. While detecting these leaks allows for identification of the issue, it does not solve the problem or prevent the leakage of HLW contaminants into collection pans and secondary containment. Repairing these leaks poses potential threats to workers for exposure risk. To address this issue, the present research seeks to create and utilize an active barrier in …

Improved Electric Load Modeling Of Residential Air Conditioning, Julius Johnson

UNLV Theses, Dissertations, Professional Papers, and Capstones

The recent increase in energy production from renewable resource introduces a new challenge in managing and maintaining balance between electricity supply and demand, due to uncertainty and variability of wind speed and solar irradiance. To address this growing problem, demand-side management, such as Demand Response (DR) programs, is employed to adjust power consumption. Residential air conditioners (ACs) are the most suitable candidates for DR, due to their intensive power consumption and inherent thermal inertia that allows flexibility in their operations (by adjusting their set-point temperatures) without sacrificing customer comfort. Most prior research on AC load models assumes that such a …

An Edge Computing Device Optimized And Transfer Learning Enhanced Deep Learning Model For Detecting Wildfire Flame And Smoke, Giovanny Vazquez

UNLV Theses, Dissertations, Professional Papers, and Capstones

The integration of autonomous unmanned aerial vehicles (UAVs) with edge computing technology and deep learning (DL)-based object detection offers a groundbreaking solution for real-time wildfire detection, enabling rapid data processing directly on devices and minimizing response delays in critical scenarios. However, although showing early promise, performance is often constrained by limited training data and edge computing devices that lack graphics processing unit (GPU) acceleration. This thesis seeks to address these limitations in two stages.First, this work explores the transformative potential of Transfer Learning (TL) to enhance wildfire object detection model accuracy while also investigating TL’s impact, for DL-based object detection …

Predicting Battery Levels Of Sensor Nodes Using Reinforcement Learning In Harsh Underground Mining Environments, Manish Anand Yadav, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong

Computer Science Faculty Research & Creative Works

Underground mining is a hazardous environment, with frequent accidents leading to significant loss of life each year. To enhance safety, sensor nodes monitor key environmental factors such as temperature, toxic gases, and miners' locations, as well as transmit critical messages. Miners interact with these sensors, which track their movements, enabling their location to be determined even without GPS signals. Therefore, predicting the battery life of these sensors is essential for: (i) rerouting miners during emergencies, (ii) ensuring timely maintenance, and most importantly (iii) identifying sensors that need energy harvesting to maintain vital communication within the mine. In this work, we …

Life Cycle Assessment Of Co-Located Floating Solar And Offshore Wind, Danela Sadikaj, Meghann Smith

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Is combining floating solar and offshore wind platforms feasible for increasing energy capacity while displacing the environmental impacts that each of these systems has independently? In recent years offshore wind has become a very popular option to decarbonize the energy sector without overtaking valuable land. While floating solar is not a new technology, using solar in a marine environment is still in an experimental phase. This research proposes a Life Cycle Assessment (LCA) model of co-located solar technology within the proposed offshore wind farms near New Jersey’s coastline. While both technologies themselves are zero-emission while operating, they each require a …

Reducing Emissions And Increasing Resource Efficiency In Offshore Wind Turbines: Insight From Life Cycle Analysis, Jean Claire Pineda, Meghann Smith

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Globally, offshore wind (OSW) has been identified as a key technology for decarbonization. While OSW’s development timeline remains uncertain in the United States, New Jersey has set the ambitious goal of 11 GW by 2040. OSW produces zero carbon emissions; however, it relies heavily on resource-intensive materials like steel, rare earth elements, and copper, and manufacturing those materials have numerous environmental impacts, including carbon emissions. Supply chain disruptions—from COVID-19, rising material costs, and geopolitical challenges—add further complexity. Previous research modelled the environmental impacts of Atlantic Shores OSW South Project with an established domestic supply chain, producing 0.013kg CO2 per kWh. …

Automated Solar Panel For Lmu Campus, Michael Hennessy, Jack Michaelis, Jack Leon, Nick Aiello, Mustafa Mozael

Honors Thesis

This Final Design Review outlines the design and implementation of an automated sun-tracking solar panel system for Loyola Marymount University's campus. The project aims to improve the efficiency of existing static solar panels by designing a new system of sun-tracking panels at a low cost and high power efficiency. The report covers the project's background, including LMU's current solar energy infrastructure and sustainability goals. It analyzes the advantages of automated solar panels over static ones, presenting comparative studies that demonstrate significant increases in energy capture. The report details the calculations for solar angle tracking, along with the mechanics and electronics …

Memory-Augmented Llm Agent For Predicting Locomotion Modes In Construction Activities, Ehsan Ahmadi

LSU Doctoral Dissertations

The construction industry faces significant challenges, including labor shortages, high physical demands, and safety risks, necessitating advanced assistive technologies like exoskeletons to enhance worker efficiency and reduce injuries. However, effective exoskeleton control in dynamic construction environments requires accurate locomotion prediction, a task complicated by the diversity of activities and reliance on supervised learning methods that struggle to generalize. This study investigates a multimodal approach to locomotion prediction, leveraging speech commands and visual data from smart glasses to enable adaptive and safe human-exoskeleton interaction. The research unfolds in two stages: the first develops a framework to evaluate the zero-shot capability and …

Real-World Implementation Of A Noninvasive, Ai-Augmented, Anemia-Screening Smartphone App And Personalization For Hemoglobin Level Self-Monitoring, Robert G. Mannino, Julie Sullivan, Jennifer K. Frediani, Paul George, Jeremy Whitson, James Tumlin, L. Andrew Lyon, Erika A. Tyburski, Wilbur A. Lam

Engineering Faculty Articles and Research

Anemia, characterized by low blood hemoglobin (Hgb) levels, afflicts >2 billion individuals worldwide. Here, we report real-world data generated by a smartphone app that noninvasively screens for anemia using only “fingernail selfies.” App data for anemia screening were obtained from >1.4 million uses across the United States enabling geographic mapping of Hgb levels. Of those, 9,061 users also self-reported complete blood count Hgb levels for comparison, resulting in accuracy and performance that match gold standard laboratory testing and a sensitivity and specificity of 89% and 93%, respectively, when using an anemia cutoff of 12.5 g/dL. Geotagged data enabled construction of …

Automated Client Dashboard For Facts Student Information System, Kashish Syed

Honors Program: Senior Projects (Public)

This project addresses the challenges of student data migration for K-12 educational institutions to the FACTS Student Information System (SIS). Historically, data migration from legacy platforms has been a manual and error-prone process. To streamline this workflow, an interactive client dashboard and automated validation system were developed as part of this capstone. The resulting solution is a scalable, intuitive tool that enhances data accuracy, reduces manual labor, and improves the user experience for both school administrators and FACTS staff. This report blends the technical implementation with reflections on project management, team collaboration, and lessons learned, offering a comprehensive view of …

Proposed Civil Design Package For Lincoln Youth Sports Complex, Gracie Kerr, Hayden Wulf, Kiley Pham, Caitlin Keathley

Honors Program: Senior Projects (Public)

The following report is a proposal of civil work and an engineering design package for the City of Lincoln to construct a Youth Sports Complex on the vacant lot at 2100 North 1^st Street, Lincoln, Lancaster County, Nebraska. The city has requested five U10 to U14 combination baseball and softball fields, one championship softball field, and one championship baseball field. Additionally, a playground area, concessions building, and designated parking areas have been requested. This design package includes introductory company and project information, a summary of the design request and constraints, three overall design alternatives, discipline-specific engineering designs and recommendations, …

Wind Shear And The Role Of Eddy Vapor Transport In Driving Water Convection On Jupiter, Ramanakumar Sankar, Michael H. Wong, Csaba Palotai, Shawn Brueshaber

Michigan Tech Publications

Recent observations of convection in the Jovian atmosphere have demonstrated that convection is strongly concentrated at specific locations on the planet. For instance, observations of lightning show that the cyclonic features (e.g., belts and folded filamentary regions) show increased convective activity compared to anticyclonic regions. Meanwhile, the distribution of ammonia and water vapor shows a large enrichment near the equator, which is also suggestive of strong upwelling and convective activity. Marrying these different observations is challenging owing to a lack of data concerning the characteristics of the deep Jovian atmosphere and a resulting inability to observe the true deep source …

Reconfiguration-Driven Assembly Of Inorganic Nanomembranes, Divya Jyoti Prakash

Chemical and Biological Engineering ETDs

This thesis focuses on the guided self-assembly of metastable nanomembranes (NMs) that are either amorphous or polycrystalline. Guided self-assembly of NMs is a robust and scalable method to obtain a variety of three-dimensional structures such as helices, rolled-up tubes, and networks of interconnected channels. These 3D structures have important applications as on-chip actuators, sensors, inductors, transformers, waveguides, and antennas. Furthermore, a large amount of strain and strain gradient can be imparted in NMs by bending them to a nanoscale and microscale radius of curvature, making guided self-assembly on NMs a viable route to extreme strain engineering of amorphous and polycrystalline …

A Case Study Of Pavement Construction Materials For Wet-Freeze Regions: The Application Of Waste Glass Aggregate And High-Content Rubber Modified Asphalt, Kai Xin, Meng Wu, Dongzhao Jin, Zhanping You

Michigan Tech Publications

Pavement systems in wet-freeze regions are prone to cracking, rutting, and moisture damage, making it challenging to incorporate recycled materials into asphalt mixtures in a way that enhances sustainability while maintaining performance and constructability. This study investigates and demonstrates the combined benefits of using processed waste glass in a leveling course and high-content crumb rubber in a surface course, focusing on both laboratory and full-scale field assessments in a wet-freeze region of northern Michigan. A leveling course containing 10% waste glass aggregate and a surface course using 16% crumb rubber (by binder weight) modified asphalt were designed with low air …

Engaging Youth In Community Problem Solving Through Community Partnerships, Kim Hales, Catherine Jurado, Mercedis Zismer

Utah Conference on Community Engagement

This panel discussion will present a community-engaged project in which four community partners work with youth in the context of a USU ENG 1010 or USU ENG 2010 writing assignment. This assignement asks students to identify a problem in their community by which they are directly impacted. The student then works with the community partner to document the problem and to brainstorm possible solutions to the issue. The panel will invite audience members to share their experiences with similarly designed assignments and to offer input, critique, and suggestions. Audience members will also be invited to ask questions to the panel …

A Study Of The Impact Of Balancing, Geometric Transformation, Generative Networks Augmentation, And Roi Techniques In Eye Diseases Classification, Sghaira Hareb Alnuaimi

Thesis/ Dissertation Defenses

Automatic detection of ocular diseases helps medical professionals efficiently identify eye disorders, reduce diagnostic errors, and accelerate diagnoses to prevent blindness. Deep learning has been successfully utilized in various fields, including medical image classification. However, in spite of these advancements, challenges remain in ocular disease classification.
/="/">The objective of this work is to address these challenges using data processing, data augmentation in combination with Region of Interest (ROI) techniques. Medical datasets often suffer from scarcity, imbalance, and low-quality images, leading to inaccurate classification. To mitigate these issues, we utilize the ODIR dataset, which contains 7,000 labelled training images for …

Wide Lock-In Energy Harvesting From Vortex-Induced Vibrations Of A Deformable Cylinder, Ahmed Raafat Mostafa

Thesis/ Dissertation Defenses

Energy harvesting from ambient sources has gained attention due to increasing energy demands. Despite VIV-based harvesters showing significant potential, their lock-in region, where significant power is generated, is narrow. Given the continuously varying ambient conditions of fluid currents, harvesters can easily fall into de-synchronization, yielding low energy output. Existing solutions like tunable masses or multiple degrees of freedom systems increase complexity and weight, limiting practical applications. This work introduces a novel variable diameter cylinder mechanism—a practical technique that actively tunes the cylinder’s geometry in real time to enhance energy harvesting efficiency from VIV. The mechanism employs an expanding pulley system …

On The H-Property For Step-Graphons: Residual Case, Wanting Gao

McKelvey School of Engineering Graduate Student Theses & Dissertations

We investigate the H-property for step-graphons. Specifically, we sample graphs Gn on n nodes from a step-graphon and evaluate the probability that Gn has a Hamiltonian decomposition in the asymptotic regime as n → ∞. It has been shown in Belabbas and Chen (2023); Belabbas et al. (2021) that for almost all step-graphons, this probability converges to either zero or one. We focus in this paper on the residual case where the zero-one law does not apply. We show that the limit of the probability still exists and provide an explicit expression of it. We present a complete proof of …

Computational Complexity Of Soundness Verification For Neural Networks, Scott Sirri

McKelvey School of Engineering Graduate Student Theses & Dissertations

Neural networks are an increasingly ubiquitous tool in systems of varying complexity across a range of domains. While these tools can be used to learn and predict complex functions, their opaque nature limits the scope of their acceptable applications. In particular, a lack of performance guarantees means that they are unsuitable for safety-critical applications such as self-driving cars and scheduling systems. Neural networks trained to solve NP-complete problems, in particular, are unlikely to be able to solve the problem exactly. However, a weaker soundness guarantee may be sufficient for some systems, e.g., that positive instances of the problem may be …

In-Hand Singulation, Scooping, And Cable Untangling With A 5-Dof Tactile-Reactive Gripper, Yuhao Zhou, Pokuang Zhou, Shaoxiong Wang, Yu She

School of Industrial Engineering Faculty Publications

Manipulation tasks often require a high degree of dexterity, typically necessitating grippers with multiple degrees of freedom (DOF). While a robotic hand equipped with multiple fingers can execute precise and intricate manipulation tasks, the inherent redundancy stemming from its high-DOF often adds complexity that may not be required. In this paper, we introduce the design of a tactile sensor-equipped gripper with two fingers and five-DOF. We present a novel design integrating a GelSight tactile sensor, enhancing sensing capabilities and enabling finer control during specific manipulation tasks. To evaluate the gripper's performance, we conduct experiments involving three challenging tasks: 1) retrieving, …

Development Of A Light-Based Platform To Assess Cervical Mucus Barrier Function And Physical Mucus Properties, Elizabeth J. Buzbee

McKelvey School of Engineering Graduate Student Theses & Dissertations

Preterm birth is the leading cause of neonatal morbidity and mortality worldwide, yet current clinical tools for predicting its risk lack specificity and reliability. Cervical mucus plays a crucial role in maintaining pregnancy by forming a barrier that protects the uterus against infection. This study investigates the use of laser speckle rheology as a noninvasive technique to assess cervical mucus biomechanics. Synthetic cervical mucus was fabricated at varying hydration levels and tested using a conventional rheometer that confirmed that the mechanical properties of the synthetic mucus samples were representative of physiological cervical mucus. These results were compared to the complex …

Transfer Learning For Temporal Logic Objectives, Lucas M. Santana Rovira

McKelvey School of Engineering Graduate Student Theses & Dissertations

Reinforcement learning algorithms can enable autonomous systems to learn the control skills needed to accomplish a task specified by a linear temporal logic formula. However, they cannot be transferred to a new task, even when the two are very similar. For each new task, the policy must be redesigned from scratch, which is a common limitation of existing reinforcement learning methods for temporal logic tasks. A proposed solution to this problem leverages the similarity between past and new tasks to reuse already learned control skills to accomplish the new task, with minimal or no retraining.

Rather than learning a single …

Impact Of Prior Exposures On Biomarkers Of Blast During Military Tactical Training, Zhaoyu Wang, Shengnan Sun, Alis Aksar Kranfli, Jeffrey Nemes, Molly J. Sullan, Andrew J. Hoisington, Lisa A. Brenner, Miciej Skotak, Christina R. Lavalle, Yongchao Ge, Walter Carr, Fatemah Haghighi

Faculty Publications

Blast injuries and subclinical effects are of significant concern among those Service Members (SMs) participating in military operations and tactical trainings. Studies of SMs repeatedly exposed during training find concussion-like symptomology with transient decrements in neurocognitive performance, and alterations in blood biomarkers. How prior mild TBI (mTBI) history interacts with low-level blast (LLB) exposure, however, remains unexplored, which we investigate in the present study, to identify interindividual biomarker changes from LLB exposures influenced by prior history of mTBI.

Utilization Of Imidazolium Ionic Liquids For Enhanced Oil Recovery In Harsh Emirati Tight Carbonate Oil Reservoirs, Noran Hussein Mousa

Thesis/ Dissertation Defenses

In response to the increasing global demand for energy and the limitations of traditional chemical oil recovery methods. This study explores the potential of imidazolium-based ionic liquids (ILs) as enhanced oil recovery (EOR) agents for Emirati tight oil reservoirs. Four ILs—C10mimCl, C12mimCl, C12mimBF4, and C16mimBr—were evaluated for their effects on interfacial tension (IFT), wettability, emulsification, and rheological properties under reservoir conditions. Experiments conducted at varying temperatures (up to 110°C), IL concentrations (100–3000 ppm), and salinities demonstrated that longer alkyl chain ILs, particularly C16mimBr, effectively reduced IFT by >99% and improved wettability by lowering contact angles up to 15.37°. Statistical modeling …

Development And Application Of Low-Cost Carbon Dioxide Sensors In An Urban Environment, David Coghiel

Theses - ALL

Advancements in sensor technology have made air quality monitoring platforms more user-friendly, compact, and affordable. This provides new opportunities to monitor areas of interest in environments previously not investigated. The existing elevated I-81 Viaduct that runs through downtown Syracuse, NY is being demolished to be reconstructed as a ground level community grid. The goal of the study was to develop a network of low-cost air quality sensor units to monitor concentrations of carbon dioxide along the viaduct prior to its reconstruction. Multiple low-cost carbon dioxide sensors were purchased and tested under laboratory and field conditions to determine applicability for continuous …

Managing Happiness In The Mexican Maquiladora Industry: A Turnover Management Challenge, Claudia M. Burgos Cruz, Reyna Virginia Barragan Quintero, Angel Contreras Cruz

Engineering and Technology Management Faculty Publications and Presentations

This study explores a turnover management case by implementing exploratory Human-Centered Design (HCD) strategies, combining a collaborative tool in a Mexican maquiladora in Tecate, Baja California. To reduce turnover, the tool was designed, prototyped, and tested to foster the emotional well-being of employees, enhance employee engagement, and promote a sense of belonging in the workplace. The company leaders and managers were trained to use the HCD prototypes, such as the Happiness Dashboard, a visual feedback system using emojis to collect data during regular shifts, and the Gemba Walks, a method for collecting information through observing and interacting with workers. Organizational …

Factors Affecting Dissolved Organic Matter Concentrations And Its Long-Term Change In Adirondack, Ny, Lakes., Amos Kiplimo Bungei

Theses - ALL

Lakes in Europe and North America have experienced increases in dissolved organic carbon (DOC) concentrations over the past few decades, a phenomenon called “browning”. Dissolved organic matter is a mixture of reduced organic compounds, such as humic and fulvic acids, derived from allochthonous organic matter from the watershed and autochthonous organic matter sources produced within surface waters. The long-term browning of lakes has far-reaching ecological consequences. First, changes in the attenuation of light and heat penetration affect thermal stratification, oxygen concentration gradient, biogeochemical cycling, and primary production in lake systems. Increases in colored dissolved organic matter (CDOM) can shift the …

Assessing Changes In Emissions And Atmospheric Deposition Of Sulfur Dioxide And Nitrogen Oxides Under Policies To Decarbonize The Electricity Sector In The Us, Qasim Mehdi

Theses - ALL

In the United States, power generation significantly contributes to emissions of sulfur dioxide and nitrogen oxides, two precursors to atmospheric reactive nitrogen and sulfur deposition. In this thesis, I explore the prospective changes associated with the decarbonization of the electricity sector in atmospheric emissions and deposition of nitrogen oxides (NOx), sulfur oxides (SOx), and ammonia (NH3), and the implications of these alterations for shifts in patterns of interstate air pollutant transport and exceedances of critical loads of nitrogen and sulfur deposition impacting the growth and mortality of tree species in the coterminous U.S. While existing research provides some understanding of …

In-Silico Investigation Of Claudin-16 Self Assembly In Tight Junctions, Baqi Ozomata Atimah

Theses - ALL

Claudin-16 is a member of the Claudin family of proteins, which play a critical role in establishing paracellular permeability within tight junctions between cells. Claudin-16 exhibits diverse properties related to ion selectivity, tissue development, and barrier function. Depending on the context, claudins create channels that permit the passage of specific ions through the paracellular space or form barriers that restrict ion movement. This study focuses on the self-assembly of the human claudin-16 protein, which is essential for ion reabsorption and the proper functioning of the kidney. Molecular simulations were employed to investigate the interactions within dimerized claudin-16 and to elucidate …