Digital Commons Network^™

Enhancing Security And Resiliency In Operational Technology Environments Through Network Slicing And Federated Learning, Brian Giovanni Rodiles Delgado

Open Access Theses & Dissertations

The growing convergence of Information Technology (IT) and Operational Technology (OT) within Industry 4.0 environments has introduced new demands on industrial network infrastructure. As cyber-physical systems become increasingly interconnected, ensuring the secure, timely, and efficient exchange of critical data is essential. This thesis explores how network slicing, a method of creating isolated virtual network segments, can be applied within OT environments to address challenges such as latency, security, and resource allocation.

The first research question addressed in this thesis is: How can OT networks take advantage of NFV and SDN technology to become cyber resilient? This study examines the operational, …

Digital Twin Use Case At El Paso International Airport, Matyas Mori

Open Access Theses & Dissertations

This thesis explores the potential of implementing Digital Twin technology in airports, with a concrete use case at the Innovation Factory at El Paso International Airport. The Digital Twin model was developed using project documentation and LiDAR scanning, resulting in point cloud datasets that served as the foundation for further analysis. A comparison was conducted between reality-captured data and the model created from project documentation, highlighting the presence of noise in the field data. This analysis revealed key challenges and identified opportunities to enhance efficiency through automation. Instead of relying on a resource-intensive manual process to clean point cloud datasets …

Towards Mitigation Of The Light Network Load Performance Penalty Of The Network Link Outlier Factor (Nlof), Jaime Merin Guzman

Open Access Theses & Dissertations

Detecting and localizing faults in communication networks is critical to maintaining reliable and efficient network operations. The Network Link Outlier Factor with Most Likely Link (NLOF: MLL) algorithm has demonstrated its potential to automate this task but suffers from significant performance degradation under low network load conditions, where limited network flow data reduces its ability to localize faults. This thesis proposes and evaluates the performance of a synthetic traffic generation algorithm to be used with NLOF:MLL. This algorithm strategically injects synthetic flows that supplement the insufficient real network flows, thereby improving NLOF:MLL's performance under low-load conditions. Specifically, we select network …

Irrigation Performance Connection To Water Quality In Big Creek, Sena Bildim

All Graduate Theses and Dissertations, Fall 2023 to Present

Due to new technologies and improved water management strategies, sprinkler irrigation systems are becoming more common in Utah and nearby areas. These systems are generally thought to be more efficient, but their effects on water quality are not well understood. This study focuses on the Big Creek watershed, which flows into Bear Lake—an area where water quality concerns are increasing.

The purpose of this research was to explore how different irrigation systems—sprinkler and surface—affect both water use and water quality. Field tests were conducted to measure how evenly water was applied and how efficient each system was. Water and soil …

Tailoring Functional And Sensing Properties Of Polymer-Ceramic Composites Via 3d Printing, Alexis Lopez

Open Access Theses & Dissertations

Section 1.1. Abstract This chapter investigates the use of direct ink write (DIW) additive manufacturing to control grain orientation in non-toxic barium titanate (BTO) ceramics by blending spherical and platelet-shaped particles in the ink. A series of inks containing 0–40 wt.% BTO platelets were formulated with poly(vinyl alcohol), polyethylene glycol, poly(acrylic acid-co-maleic acid), and ammonium hydroxide to ensure printability and homogeneous dispersion. Cylindrical specimens (20 mm × 3 mm) were printed using a Hyrel 30M DIW system and subjected to de-binding (650 °C, 2 h) followed by a two-step sintering schedule (T₁: 1200–1350 °C; T₂: 700–850 °C; 24 h dwell). …

Improving Traffic Management During Special Events At The Sun Bowl Stadium, Marek Polak

Open Access Theses & Dissertations

This thesis focuses on improving traffic conditions around the Sun Bowl Stadium, especially during large public events. The goal is to propose effective solutions that enhance the use of public infrastructure during both event days and normal traffic conditions. To understand the current situation, two surveys were conducted during a football game - one monitoring parking lot occupancy and the other measuring traffic volumes using video recordings and pressure sensors. Based on the collected data, design changes were proposed for two key intersections: Sun Bowl Dr. with W. University Ave., and Sun Bowl Dr. with Glory Rd. The new designs …

A Numerical Analysis Tool To Evaluate Pavements Integrated With Dynamic Wireless Power Transfer Technology, Hector Cruz

Open Access Theses & Dissertations

As electric vehicles (EVs) continue to gain market share in the U.S., the integration of dynamic wireless power transfer (DWPT) systems into pavements has emerged as a promising solution to address range anxiety and infrastructure limitations. However, the structural implications of embedding DWPT technology into roadways remain insufficiently explored. This dissertation presents the development and application of a numerical analysis tool to evaluate the mechanical performance of flexible pavements containing embedded charging units (CUs). A series of finite element models, validated with full-scale experimental data, were used to assess the influence of axle loading, material properties, layer configurations, bonding conditions, …

Locked Dimerized Cxcl12 Exerts Radiosensitizing Effects In Head And Neck Cancer, Oscar Villarreal Espinosa, Musaddiq Awan, Abdullah A. Memon, Anne Frei, Jamie Foeckler, Rachel Kuehn, Jennifer Bruening, Becky Massey, Stuart J. Wong, Monica Shukla, Julia Kasprzak, Amit Joshi, Michael B. Dwinell, Heather A. Himburg, Joseph Zenga

Biomedical Engineering Faculty Research and Publications

Background

Head and neck squamous cell carcinoma (HNSCC) presents significant treatment challenges, particularly in cases unrelated to human papillomavirus (HPV). The chemokine receptor CXCR4, interacting with its ligand CXCL12, plays a crucial role in tumor proliferation, metastasis, and treatment resistance. This study explores the therapeutic potential of engineered monomeric and dimerized CXCL12 variants (CXCL121 and CXCL122, respectively) in HNSCC and evaluates potential additive effects when combined with radiation therapy.

Methods

Clinical HNSCC biopsies were evaluated for CXCR4 expression in both previously untreated and radiorecurrent disease. HNSCC cell lines were then treated with combinations of CXCL12 variants and radiotherapy and interrogated …

Involvement Of Long Non-Coding Rna (Lncrna) Malat1 In Shear Stress Regulated Adipocyte Differentiation, Justin Caron, Marjan Ghanbariabdolmaleki, Madison Marino, Chong Qiu, Bo Wang, Michael Mak, Shue Wang

Biomedical Engineering Faculty Research and Publications

Adipocyte differentiation plays an important role in bone remodeling due to secretory factors that can directly modulate osteoblast and osteoclast, thus affecting overall bone mass and skeletal integrity. Excessive adipocyte differentiation within the bone marrow microenvironment can lead to decreased bone mass, eventually causing osteoporosis. The mechanical microenvironment of bone marrow, including fluid shear, maintains the balance of adipocyte and osteoblast differentiation during bone remodeling. However, how mechanical cues interact with long noncoding RNA (lncRNA) and regulate adipocyte differentiation remains unexplored. In this study, we investigated the mechanosensitive role of lncRNA MALAT1 during mesenchymal stem cells (MSCs) adipocyte differentiation. By …

Flexible Microelectrode-Based Impedance Immunosensor For Rapid Detection Of E. Coli O157:H7, Sonatan Kumar Biswas

Graduate Theses and Dissertations

Abstract Food contamination poses a significant threat to public health, the economy, and human health worldwide, occurring at any stage of the food supply chain, from farm to fork. Escherichia coli 0157:H7, recognized as one of the principal causes of foodborne illness, poses a considerable risk to food safety. The primary objective of this investigation is to devise a flexible microelectrode-based immunosensor capable of swiftly identifying E. coli O157:H7 cells without the need for incubation in a pure culture environment. In the development of the biosensor, the gold electrode (composed of 50% Au) underwent an initial coating process involving 2-aminoethanethiol/cysteamine, …

Vision-Based Multimodal Frameworks For Human Behavioral Analysis: Applications In Group Activity Understanding And Public Health, Naga Venkata Sai Raviteja Chappa

Graduate Theses and Dissertations

Group Activity Recognition (GAR) has emerged as a crucial problem in computer vision, with wide-ranging applications in sports analysis, video surveillance, and social scene understanding. Unlike traditional action recognition focused on individuals, GAR requires understanding complex spatiotemporal relationships between multiple actors, their interactions, and the broader context in which these activities occur. This complexity introduces unique challenges, including the need for accurate actor localization, modeling of inter-actor dependencies, and understanding of temporal evolution in group behaviors. While recent advances have shown promise, existing approaches often rely heavily on extensive annotations such as ground-truth bounding boxes and action labels, creating significant …

Identifying Barriers, Challenges And Opportunities Of Implementing Retrofitting Strategies In Existing Buildings In The Uae, Ahmad Ghalib Masri

Theses

The built environment of the UAE faces sustainability challenges because of its high energy usage and greenhouse gas emissions which require successful retrofitting methods to enhance aging buildings' performance and efficiency. This research investigates the barriers and challenges and opportunities of retrofitting strategy implementation in the UAE to provide direction for policymakers and stakeholders regarding sustainable practices. The research employed a mixed-methods approach through literature reviews and stakeholder surveys and interviews. The study shows that high upfront costs (68% of respondents) and building owner awareness limitations (54%) and fragmented regulations with inconsistent thermal insulation standards across emirates represent major barriers. …

Enhancing Patient Safety: Exploring Virtual Sitters' Role In Fall Prevention Through Remote Virtual Monitoring, Adama Diallo, Awatef Ergai Dr., Leeanna Spiva Dr., Meriel Mccollum Dr.

Symposium of Student Scholars

Remote Virtual Monitoring (RVM) technology enhances safety for both patients and care teams by reducing falls, improving the efficiency and effectiveness of continuous patient observation, and lowering costs associated with falls and staff support. The success of fall reduction efforts largely depends on the role of virtual sitters, individuals who remotely monitor high-risk patients to prevent falls. This study aims to explore the experiences of virtual sitters, identifying key themes, challenges, and opportunities to improve the intervention. Specifically, the research investigates how technology, work shifts, and institutional support impact the effectiveness and job satisfaction of virtual sitters.

Assessing A Solution For Ga Work Zone Safety Through Cross Classification, Asiah Lightfoot, Sunanda Dissanayake

Symposium of Student Scholars

Work zone safety is a health risk for drivers and construction workers. In Georgia, work zone crashes have decreased over the past 5 years, but the number of fatalities has still been over 1,000 each of those years. Studies have proven solutions such as lowering the speed limit or relying on current traffic control devices to be ineffective. The risks associated with these crashes must be recognized to improve upon previous solutions or innovate new ones from the results. The objective of this study is to utilize cross classification to identify factors that contribute to work zone crash deaths and …

Sandrapp: A Digital Intervention To Enhance Social Connectivity And Emotional Support Among Older Adults, Pavan Chowdary Chilukuri, Purna Chandu Anukula

Symposium of Student Scholars

Social isolation and loneliness are significant challenges affecting the well-being of older adults, often leading to adverse mental and physical health outcomes. Prolonged isolation has been linked to increased risks of depression, anxiety, cognitive decline, and chronic illnesses such as hypertension and cardiovascular diseases. As digital technology continues to evolve, innovative solutions have emerged to address these issues and foster meaningful social interactions for older adults.

SANDRApp is a user-friendly digital platform designed to reduce loneliness and enhance social connectivity among older adults. The platform caters to three primary user groups: (1) families with elderly loved ones living far away, …

Investigating The Impact Of Waterhead, Time And Temperature On Dam Displacement: Application Of Computer Aided Models, Maaz Abdullah

AUIQ Technical Engineering Science

Dam displacement is a crucial indicator for assessing the safety of a concrete dam through structural health monitoring. Since the displacement data exhibits a non-linear and complex relationship with influencing factors like waterhead, time and temperature, machine learning models are deployed to accurately predict dam displacement. Furthermore, the limited availability of monitored data in the majority of the dams renders the studies conducted with a large number of observations valueless. In order to address the aforementioned issues, this study proposes a feature selection approach to predict dam displacement by examining the ability of four ensemble machine learning models on different …

Comparative Assessment Of Land Surface Temperature In Urbanized Areas Of The Saudi Arabia, Rauf Khan, Syed Ilyas, Ziaul Haq Doost

AUIQ Technical Engineering Science

Land Surface Temperature (LST) has become a critical urban climate concern due to rapid urbanization and land cover transformation in Saudi Arabian cities. This study aimed to analyze the spatial and temporal variability of LST in three climatically distinct cities encompassing Riyadh (hot desert), Dhahran (hot humid), and Abha (cold desert) over the summer months (May to September) from 2017 to 2021. LST was retrieved through the RSLab Landsat LST web application. A total of 80 samples per year were compiled for each city using a structured sampling approach, and results were aggregated using the RS-LST Aggregation Framework (RSLAF). The …

Distal Weight-Bearing Implants Design Featuring An Integrated Groove Or Thread, Muntadher Saleh Mahdi, Dunya Abdulsahib Hamdi

AUIQ Technical Engineering Science

The distal weight-bearing implant was selected from a pool of approximately 17 implant systems that utilize the osseointegration mechanism currently available globally. It stands out due to its modernity, rarity, and creative concept, offering amputees with ``above-knee amputation'' a range of options that ensure their satisfaction and fulfill their requirements. However, this implant requires additional refinement and adaptation to achieve the highest level of perfection. This research implemented various modifications to the mechanical design of the implant, which were subsequently evaluated using the finite element analysis software ``ANSYS.'' Modifications included substituting the threads along the femoral stem with a groove …

Surface Urban Heat Island Effects Analysis In The Most Populated City In Thailand: Towards Sustainable Urban Development, Abdul Maulud Khairul Nizam, Muhammad Noor, Zafar Iqbal

AUIQ Technical Engineering Science

The fast and unprecedented urban growth process may violate cities' responsibilities by causing an urban heat island (UHI) and increasing the public's risk of heat-related illnesses due to vegetative area reduction and urban area inclination. The Bangkok Metropolitan Area (BMA)'s variations in Land Use Land Cover (LULC), Land Surface Temperature (LST), UHI, and several geospatial indicators, as well as the daytime and nighttime LST, are the main subjects of the study. Between 2015 and 2021, the highest Daytime LST (DLST) rose consistently from 36.77°C to 38.14°C, then slightly decreased to 37.22°C in 2023. There is a general increase in the …

A Comprehensive Review Of Advancements In Materials And Manufacturing For 3d Knee Implants, Huda Ali Hashim, Ghaidaa A. Khalid

AUIQ Technical Engineering Science

Over the past three decades, knee implant design has significantly advanced to address the challenges of replacing damaged knee joint bone with durable and efficient prosthetics. The aim of this review explore key developments in materials and manufacturing processes, focusing on biocompatible options such as zirconium, titanium alloys, UHMWP, and smart materials, as well as coatings designed for metal-sensitive patients. The study examines the mechanical forces acting on implants during daily activities, highlighting wear and infection risks, and evaluates the role of innovative manufacturing techniques in improving implant precision, cost-efficiency, and durability. Simulation methods, including Finite Element Analysis (FEA), are …

Investigating The Differential Effects Of Smote Variants On Class Imbalance And Exploring Their Applicability To A Thalassemia Prediction Model, Hussam Mezher Merdas, Ayad Hameed Mousa

AUIQ Technical Engineering Science

Researchers work around the clock on many datasets provided by various institutions. These researchers strive to come up with highly efficient Artificial Intelligence models. Often, researchers face the problem of imbalance in the distribution of classes in a particular feature in the selected dataset, which creates an Artificial Intelligence model biased towards one class at the expense of another class that is no less important than the first. On the other hand, thalassemia is a disease that affects people of different ages. The degree of disease varies according to the thalassemia class. This study proposes an improved Machine Learning model …

Wide Band Single-Mode Optical Fiber Design For Decreasing Bending Loss, Zahraa M. Kassem Alasady, Ahmed Al-Amiery

AUIQ Technical Engineering Science

Radiation loss due to fiber curving or bending is a major challenge in advanced technical applications like fiber-optic sensing or biomedical applications. This study focuses on the basic features that characterize a single-mode fiber (SMF) and its critical parameters in view of the recent improvements made. The planned design of SMF is, however, intended to resolve these problems by proposing minimizing bend loss by adopting a five-layer fiber structure designed to keep the optical field within the fiber core. The proposed SMF design exhibit ultra-low bending sensitivity, with estimated bending loss of 2×10-3 dB/turn for bending radius of 5 mm. …

Building Resilience: Strategies For Sustainable Wildfire Management In California, Jaiden Rennie, Pegah Zamani

Symposium of Student Scholars

Wildfires in California are becoming more intense and destructive, threatening communities, ecosystems, and livelihoods. This project explores how resilience and sustainability can work together to reduce wildfire risks and long-term damage. By reviewing research, case studies, and expert insights, it examines what’s driving these fires, climate change, poor land management, and human activity, and looks at solutions that can make a real difference. From community education programs to AI-driven fire detection and smarter policies, the findings highlight practical ways to better prepare for and manage wildfires. The goal is to contribute to a future where communities and the environment are …

Bridging The Gap: Care Team’S Perspectives On Technology And Ai Integration In Healthcare, Sarah Fernandes, Pranathi Boyina, Awatef Ergai Dr., Wellstar Health System, Mohammad Yousef Mousa Naser, Sylvia Bhattacharya Dr.

Symposium of Student Scholars

As healthcare systems increasingly integrate digital solutions, understanding the perspectives of frontline healthcare workers on technology adoption is critical. This study explores how Registered Nurses (RNs), Licensed Practical Nurses (LPNs), and Certified Nursing Assistants (CNAs), collectively referred to as the Care Team, interact with existing and emerging healthcare technologies, including artificial intelligence (AI). Given the growing reliance on digital tools for clinical and administrative tasks, this research examines the challenges and benefits perceived by healthcare professionals when incorporating AI-driven solutions into their workflows.

A cross-sectional research design was employed, involving 30 semi-structured interviews with Care Team members from an Intensive …

Sustainable Smart Farming Device With Leafit Adaptive Growth Technology, Saville Atkins, Anthony Iwejuo, Julian Pitts, Luis Mercado, Rachnicha Rojjhanarittikorn, Sandip Das, Hai Ho

Symposium of Student Scholars

For farmers, gardeners, and horticulture enthusiasts worldwide, one immutable reality is that maintaining a consistent physical presence to care for plants is not always feasible. In addition, different plants have unique needs for watering, nutrients, and environmental conditions to thrive. Failing to meet these specific needs can result in poor plant health, reduced yields, and inefficient resource usage. In this research project, we have designed and developed ‘LeaFit’ – a cutting-edge Internet of Things (IoT) device that offers a sophisticated and sustainable smart farming and gardening solution. Equipped with intelligent soil moisture, ambient temperature, humidity, and light sensors, LeaFit autonomously …

A Fuzzy Based Framework For Sustainable Technology Selection In Small-Scale Gold Mining Operations, John M. Kafuku

Tanzania Journal of Engineering and Technology (TJET)

Small-scale gold mining (SSGM) operations in Tanzania has been operating inefficiently due to inadequate mining processing technologies, poor working tools, lack of enough capital, and insufficient electricity. Despite the efforts made by different stakeholders in boosting the sustainability of SSGM yet the sector has not reached the expected goal. This paper proposes a framework for appropriate technology selection to help small scale gold miners in evaluating various gold mineral processing technologies. The framework utilizes the fuzzy logic set theory for technology evaluation and selection. The developed framework for technology selection upon validation provided results that technology adequacy of more than …

Assessment Of Factors Contributing On Early Rotting Of Chromated Copper Arsenate Treated Utility Power Distribution Wood Poles In Tanzania, Innocent J. Macha

Tanzania Journal of Engineering and Technology (TJET)

The study aimed to assess the factors contributing to the premature decay of Chromated Copper Arsenate (CCA) treated utility power distribution wooden poles in Tanzania. Deteriorated poles samples from various regions in Tanzania were analyzed using handheld X-ray spectrometry to quantify the retention of CCA preservative chemicals. The ages of these poles were estimated based on annual growth rings. The findings indicated that premature failure of CCA treated wooden poles is attributed to an imbalance in the chemical composition of the preservative solution. The study found that CuO retention in most samples ranged between 10-18 kg/m3, significant lower that the …

A Critical Realist Erp Implementation In Zimbabwean Mining Industry Organisations, Jairos Mukwenha

Tanzania Journal of Engineering and Technology (TJET)

This research uses a critical realist framework to examine the factors influencing the success of enterprise resource planning (ERP) system implementation in Zimbabwean mining industry organisations. From the perspective of critical realism, the mining industry in Zimbabwe faces a complex interplay of opportunities and obstacles while implementing ERP systems. The deployment of ERP in mining firms is critically examined in this paper, emphasising how these systems might improve operational efficiency while considering Zimbabwe's particular socioeconomic circumstances. By exploring underlying structures, mechanisms, and outcomes, the research aims to identify critical challenges and opportunities and develop practical recommendations for improving ERP adoption …

Design And Performance Analysis Of Fiber Bragg Grating Temperature Sensor For Industrial Processes Sensing Applications, Paul Stone Stone Brown Macheso S.B.

Tanzania Journal of Engineering and Technology (TJET)

The Fiber Bragg Grating (FBG) sensor has become a widespread sensing device because of its small size, passive design, immunity to electromagnetic interference, and direct ability to measure physical properties like temperature and strain. Recently, femtosecond infrared laser processing and regeneration techniques have resulted in the development of stable high-temperature gratings, which are a powerful tool in smart factories, an aspect of the fourth Industrial Revolution (4IR), and show promise for application in harsh environments like high pressure, high temperature, or ionizing radiation. The development of stable high-temperature gratings that can withstand harsh environmental factors like high temperatures, pressures, and …

Application Of Artificial Neural Network Models For Predicting Diesel And Petrol Prices In The Geographically Sparsed Regions In Tanzania, John M. Kafuku

Tanzania Journal of Engineering and Technology (TJET)

Fuel consumption in Tanzania, mainly diesel and petrol, accounts for 82 percent of the energy consumption in the country, with significant price volatility affecting market stability, availability of fuel, and investment decisions. This study uses an artificial neural network (ANN) with a backpropagating algorithm to predict fuel prices in four regions of Tanzania. Key input parameters include the currency inflation rate (CIR), the petrol fuel inventory (PFI), the diesel fuel inventory (DFI), and the fuel transport costs (FTC). The study selected the 6-10-10-2 ANN structures for Sumbawanga-Rukwa, Mpanda-Katavi, and Mbeya-Mbeya as well as 6-10-9-2 for the Songea-Ruvuma region. The results …