Digital Commons Network^™

How Regulations Impact Contractors In California: Licensing, Insurance, Bonding & Permitting, Byron Rolando Calderon Cifuentes

Construction Management

This senior project researches the impact of regulatory requirements, specifically licensing, insurance, bonding, and permitting, on contractors in California. The study addresses the question: How do regulations affect contractors’ ability to operate and grow? To examine this, qualitative interviews were conducted with six industry professionals, including general contractors, specialty contractors, and design-build firms. Additionally, 25 survey responses were collected from contractors and construction professionals to gain broader insights. The findings reveal that while licensing, insurance, and bonding are seen as foundational for establishing credibility and legal compliance, the permitting process presents the most significant challenge. Respondents consistently described permitting as …

Assessing Fire Risks In San Luis Obispo: The Impact Of Building Construction And Landscaping On Wildfire Vulnerability, Zachary A. Pollock

Construction Management

As wildfires grow in frequency and intensity across California, understanding and mitigating residential fire risk has become a public safety priority. Communities in the wildland-urban interface (WUI), such as San Luis Obispo, are especially vulnerable due to their proximity to natural vegetation and the prevalence of older housing stock. While state and local agencies have introduced regulations and educational campaigns, there remains a need for accessible, scalable tools that help identify fire risks at the individual home level. This project assessed wildfire vulnerability across 140 homes in San Luis Obispo, California, using a custom visual grading rubric informed by academic …

Rotating Scatter Mask System Optimization Study For Determining Optimal Image Recreation, Seth L. Grover

Theses and Dissertations

The Rotating Scatter Mask (RSM) system is a radiation imaging technology currently limited by the mask design and governing identification algorithm parameters. To optimize the RSM design, Dakota—an optimization software—was integrated with a ray tracing code that simulates particle interactions with the RSM detector, and with the Locally Competitive Algorithm (LCA), which reconstructs the source image based on the ray tracing code’s Detector Response Matrix (DRM). Since the original ray tracing code was developed in MATLAB, it was translated into Python to improve compatibility with both Dakota and LCA. The Python version of the ray tracing code was then integrated …

Integrating A Stakeholder-Centric Approach Into Dynamic Adaptation Policy Pathways For Equitable Coastal Flood Risk Management In East Boston, Shailee M. Desai

Graduate Doctoral Dissertations

This research aims to illustrate a methodology incorporating diverse stakeholder values in adaptation planning to promote equitable outcomes using a hypothetical case study of the Lower Border Street area in East Boston, using the Dynamic Adaptive Policy Pathways (DAPP) framework for managing coastal flood risk. It offers three significant contributions to the field of adaptation planning: (i) It demonstrates how to integrate a stakeholder-specific assessment within the DAPP framework and illustrates individual impacts to a variety of stakeholders, including high- and low-income residents, commercial actors, government actors, and coastal landowners hoping that the planning process remains transparent and motivates local …

New York City Misses The Exit To Traffic Safety, Joseph Caffrey

Capstones

New York City Misses the Exit to Traffic Safety investigates New York City’s mounting traffic violence crisis through the lens of a devastating crash that killed a Brooklyn mother and her two daughters. It examines the city’s inconsistent enforcement of reckless driving and the failure of the Dangerous Vehicle Abatement Program (DVAP), which aimed to reform recidivist speeders. The piece investigates the imperfections of Vision Zero, public backlash to automated enforcement, and the broader failure to prevent recidivist speeding. It also explores policy alternatives like Intelligent Speed Assistance (ISA), highlighting legislative efforts to revive accountability and save lives, while advocating …

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, …

Egyptian Government Actions To Implement A Green, Smart, Secured And Sustainable City In Africa, Egypt To Host Cop27, Enas Samir, Eman Metwally

Mansoura Engineering Journal

Smart cities are essential for addressing globalization, urban overpopulation, and urban growth. This paper discusses the Egyptian government's strategies, policies, and procedures for transforming Sharm-Elsheikh city into a green, smart, safe, secured, and sustainable city. The research aims to learn from COP28 and export an action plan to convert the city from a touristic to a smart green, secure, and sustainable city. The main research question is how COP27 in Egypt will become the COP of implementation, and the hypothesis is that the current mindset for managing economic files may not be suitable for the new economic orientations.

Design Of A Helical-Type Rotor For Enhanced Energy Harvesting In Smallscale Vertical Axis Wind Turbines, Aadee M. Mitee

2025 Spring Honors Capstone Projects - Archive

This research investigates the design optimization of a small-scale Vertical Axis Wind Turbine (VAWT) utilizing helical rotor blades fabricated from graphene-reinforced polyethylene terephthalate. While previous studies have largely concentrated on largescale turbines for rural environments or on high-performance composite materials that often compromise recyclability, this research addresses the specific challenges associated with small-scale VAWTs intended for urban and populated areas. The study identified tip speed ratio, helical angle, and blade length as critical design parameters. Optimization of these parameters was achieved through systematic evaluation of their impact on the turbine’s aerodynamic performance, quantified by the coefficient of performance. Structural and …

Hickory Street Square Revitalization, Spencer Knight, Grace Dungan, Tim Kula, Evan Lauritsen, Lindsey Mennenga

Honors Program: Senior Projects (Public)

The Hickory Street Square Revitalization Project seeks to transform a central public space in Sidney, Nebraska into a dynamic, community-oriented area that supports local events, economic activity, and cultural heritage. The project addresses six core objectives: 1) convertible street design, 2) parking lot reconfiguration, 3) public amenities, 4) event flexibility, 5) lighting and signage, and 6) old electric plant renovation. A conceptual design was developed by the design team (S.T.E.E.L. Sentinel Solutions) by synthesizing the most effective features of three preliminary alternatives, shaped further through community feedback and evolving project constraints. The final project design minimizes disruption to existing activity …

Essential Components For A Uas Standard Operating Procedure Manual For State Departments Of Transportation, Nurudeen Segun Lawal

All Theses

The integration of Unmanned Aircraft Systems (UAS) within state Departments of Transportation (DOTs) has become increasingly essential for improving efficiency, safety, and regulatory compliance in transportation operations. However, the lack of a standardized approach to UAS program management has resulted in variability in policies, procedures, and implementation strategies across state agencies. This study examines how state DOTs incorporate the Association of Unscrewed Vehicle Systems International (AUVSI) Organizational Implementation Guide (OIG) 35 essential components into their UAS Standard Operating Procedures (SOPs) and identifies 13 additional components that address agency-specific operational, regulatory, and administrative needs. Through an analysis of publicly available SOPs …

A Machine Learning Framework For Packet Anomaly Detection In Smartgrid Substation Networks, Sowmya Bandari

School of Computing: Dissertations, Theses, and Student Research

The increasing reliance on Smart Grid Substation Networks for efficient electricity distribution has amplified cybersecurity vulnerabilities, particularly within Supervisory Control and Data Acquisition (SCADA) systems. The IEC 60870-5-104 (IEC-104) protocol, widely adopted for communication between Remote Terminal Units (RTUs) and Human-Machine Interfaces (HMIs), lacks inherent encryption and authentication mechanisms, rendering it susceptible to sophisticated cyberattacks. Threats such as False Data Injection Attacks (FDIAs), command injection, covert attacks and replay attacks pose significant risks by manipulating grid control signals, potentially leading to undetected operational disruptions, cascading failures, or system-wide instability. Conventional signature-based Intrusion Detection Systems (IDS) often fail to identify zero-day …

Ai-Powered Inspection: A Computer Vision System For Efficient Defects Detection In Underground Infrastructures, Rasha Alshawi

LSU New Orleans Theses and Dissertations

Undetected defects in culverts and sewer pipes pose significant risks to public safety, leading to infrastructure collapses, flooding, and transportation disruptions. Traditional manual inspections are time-consuming, costly, and prone to human error, while existing automated methods struggle with occlusions, irregular defect shapes, class imbalances, and high computational demands. To address these challenges, this dissertation develops advanced semantic segmentation systems that automate defect detection, significantly improving efficiency and accuracy.

This research introduces a series of innovative models designed to overcome these challenges in underground infrastructure inspection. Using dual-attentive mechanisms, sparsely connected blocks, and depth-separable convolutions, these models improve segmentation performance and …

Key-Based Authentication Scheme For Evtol Drones Using Chebyshev Chaotic Maps, Eduardo A. Hernandez Escobar

Master's Theses

The development of electric Vertical Take-Off and Landing (eVTOL) drones signifies a substantial advancement in urban air mobility, ready to transform transportation models in densely populated regions. These advanced drones, distinguished by their capacity to function in limited spaces and their minimized environmental impact, are set to transform individual, shipping, emergency services, and public safety activities. Nonetheless, like any transformational technology, the implementation of eVTOL systems presents many challenges, especially in the realm of cybersecurity. Adding many devices and entities to an eVTOL network increases the risk of privacy and security attacks. This paper proposes a key-based authentication scheme that …

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 …

Integrating Artificial Intelligence For Transportation Cyber-Physical Systems: From Detection To Cyber Resilience, Reek Majumder

All Dissertations

This dissertation investigates different methods for methane detection using unmanned aerial vehicles (UAVs). The author addresses the fundamental problem of methane emissions, a potent greenhouse gas responsible for global warming. The first part of the dissertation aims to create a cost-effective system for real-time methane detection and intensity prediction using ensemble learning models trained on meteorological parameters. The ensemble learning-based classification models show a high accuracy for methane detection.

The second part of the dissertation investigates cyberattack detection for UAVs using a graph-based intrusion detection system (IDS) for controller area networks (CAN). This lightweight, protocol-independent IDS uses graph-based machine learning …

An Empirical Evaluation Of Communication Technologies And Quality Of Delivery Measurement In Networked Microgrids, Ruairí De Fréin, Yasin Emir Kutlu

Articles

Networked microgrids (NMG) are gaining popularity as an example of smartgrids (SG), where power networks are integrated with communication technologies. Communication technologies enable NMGs to be monitored and controlled via communication networks. However, ensuring that communication networks in NMGs satisfy quality of delivery (QoD) metrics such as the round trip time (RTT) of NMG control data is necessary. This paper addresses the communication network types and communication technologies used in NMGs. We present various NMG deployments to demonstrate real-life applicability in different contexts. We develop a real-time NMG testbed using real hardware such as Cisco 4331 Integrated Services Routers (ISR). …

Interference Management For Next-Generation Dynamic Spectrum Sharing, Jie Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

The exponential growth of wireless devices and bandwidth-intensive applications has intensified the demand for efficient spectrum utilization, exposing the limitations of traditional static spectrum allocation schemes. Next-generation spectrum sharing has emerged as a transformative solution to enhance spectrum efficiency by enabling multiple wireless systems to coexist opportunistically in the same frequency band and geographic area. However, such dynamism introduces significant challenges, particularly in interference management, which is critical to enabling reliable coexistence, ensuring access priority, and building mutual trust across diverse applications. This thesis advances interference management by developing advanced techniques for interference prediction, monitoring, and control in dynamic spectrum …

Systematic Analysis On The Applications Of Infrastructure Asset Management In Utah, Kelvin Kozakevitch

Theses and Dissertations

Public infrastructure is essential to a region’s economic stability and quality of life, especially its rural infrastructure where most consumable and essential goods derive from. Given the high capital investment required for infrastructure development and maintenance, asset management plans (IAM) are critical. Even though academic research exists on the problems rural infrastructure management face, little is known about the actual state, barriers and causes for the challenges IAM faces in rural Utah. This study examines the current challenges and barriers in IAM among rural communities in Utah. Employing a grounded theory approach, data was collected through a two-phase methodology: phase …

Electric Field Profiles Under High Voltage Overhead Transmission Lines With Under-Build Distribution Circuit, Aminu Haruna

Electrical Engineering Theses

The increasing use of underbuilt lines in recent transmission projects alters electric field profile under transmission lines. By assessing electric field intensity in these transmission and distribution network configurations, the study identifies regions with high electric fields that may exceed standard exposure limits, posing potential risks. This work employs the charge simulation method and the method of imaging to analyze electric fields beneath transmission lines with underbuilt distribution networks. Key objectives include calculating the electric fields at 1 meter above ground, and evaluating the field at conductor surfaces. The study considers transmission line voltages of 69kV, 161kV, 220kV, 345kV and …

Enhancing Smart City Management With Ai: Analyzing Key Criteria And Their Interrelationships Using Dematel Under Neutrosophic Numbers And Mabac For Optimal Development, Asmaa Elsayed, Mai Mohamed

Neutrosophic Systems with Applications

Purpose: This paper explores the transformative role of AI across various domains of smart cities, including urban mobility, energy management, public safety, healthcare, environmental monitoring, economic development, and data management. It aims to develop a novel decision-making framework that integrates AI technologies with a hybrid approach to analyze the interrelationships among smart city components.

Methodology: This paper employs a hybrid decision-making framework that combines the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method with single-valued trapezoidal neutrosophic numbers (STrNN). This approach is used to analyze the complex relationships among criteria and sub-criteria in smart city contexts, addressing uncertainty and incomplete information …

Enhancing Smart City Management With Ai: Analyzing Key Criteria And Their Interrelationships Using Dematel Under Neutrosophic Numbers And Mabac For Optimal Development, Asmaa Elsayed, Mai Mohamed

Neutrosophic Systems with Applications

Purpose: This paper explores the transformative role of AI across various domains of smart cities, including urban mobility, energy management, public safety, healthcare, environmental monitoring, economic development, and data management. It aims to develop a novel decision-making framework that integrates AI technologies with a hybrid approach to analyze the interrelationships among smart city components.

Methodology: This paper employs a hybrid decision-making framework that combines the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method with single-valued trapezoidal neutrosophic numbers (STrNN). This approach is used to analyze the complex relationships among criteria and sub-criteria in smart city contexts, addressing uncertainty and incomplete information …

Development Of Sustainable Nano-Engineered Cementitious Composites Reinforced With Graphene Oxide From Invasive Seaweed, Steven Garcia, Will Weber, Noah Chun

Civil, Environmental and Sustainable Engineering Senior Theses

This research explores the integration of graphene oxide (GO) derived from invasive sargassum seaweed into cementitious composites to enhance concrete performance while addressing critical environmental and sustainability challenges. With the dual goal of reducing the carbon footprint of cement and repurposing harmful sargassum blooms in Puerto Rico, the research investigates the viability of sargassum-derived GO (SGO) as a partial cement substitute in mortar mixes. The study is motivated by the urgent need to lower cement-related CO₂ emissions—currently contributing nearly 8% of global totals—and by the ecological and economic burdens caused by the accumulation of sargassum along coastlines. Graphene oxide, with …

Bridging Deterministic And Probabilistic Analysis For Dam Safety, Giselle Aviles

Civil, Environmental and Sustainable Engineering Senior Theses

Dams play a critical role in water supply, flood control, energy generation, and infrastructure resilience. However, many existing dams face significant risks due to aging structures, evolving environmental conditions, and outdated design methodologies. These dams pose a danger to downstream populations, demanding greater attention to investment in measures to help reduce risks to public safety and economic assets. Traditional deterministic methods for dam stability assessments rely on static factors of safety (FS), often resulting in either overly conservative or underestimated designs. In this approach, engineers input known material properties, loads, and the dam's geometry into a single FS, which is …

Towards The Advancement Of Violence Recognition In Security Footage With Explainable Neural Networks, Paris Her

Dissertations (1934 -)

This dissertation investigates the problem of violence recognition in surveillance footage using computer vision and machine learning techniques. More specifically, our goal is to achieve interpretable and explainable deep learning models because violence recognition is a sensitive task. We first propose to perform violence recognition using a 3D convolutional neural network through intuitive hyperparameter tuning and transfer learning. We utilize a state-of-the-art 3D model used for general activity recognition that is lightweight and adjustable. Along with that, we introduce a data augmentation technique called "resize-within" which uses interpolation, rather than cropping, to resize the original input video to a new …

Low Cost Ndvi Aerial Imager For Plant Health Monitoring, Roe Crawford , '25, Brandon Mickelson , '25

Senior Theses, Projects, and Awards

Due to the spread of Beech Leaf Disease, Swarthmore College and the Scott Arboretum expect to lose all of the beech trees on campus in the next five years. Methods of monitoring plant health are required to act as early warnings for tree loss so that the Arboretum can manage deadfall, erosion, and other adverse effects. Normalized Difference Vegetation Index (NDVI) is a multispectral imaging technique that can assess plant health. NDVI is a common satellite remote sensing technique that has shown promise in drone remote sensing applications. With recent decreases in the costs of optical components, we determined that …

‘To Zero By Thirty-Five’ Geoexchange System Optimization, Andrew Moy , '25

Senior Theses, Projects, and Awards

Swarthmore College’s ’To Zero by Thirty Five’ project involves the construction of a geothermal exchange plant to provide heating and cooling to campus buildings. This report follows the implementation of the project and the impact of building envelopes on the effectiveness of the system. Groups of potential upgrades and their impacts on building performance were analyzed using integer linear programming and the PuLP python library. This analysis provides recommendations on which buildings to upgrade according to the priorities of Swarthmore College.

Assessing The Feasibility Of Transportable Nuclear Reactors: A Radiological Risk Case Study, Robert John Demuth

Theses and Dissertations

The feasibility of a truly transportable nuclear reactor presents significant radiological challenges that must be addressed to ensure compliance with regulatory limits and operational safety. This study evaluates the radiological constraints associated with the transportability of the Transportable Helium-cooled One-megawatt Reactor (THOR), focusing on neutron activation, shielding performance, and external radiation exposure. Using advanced radiation transport and activation modeling within the SCALE framework, a comprehensive analysis was conducted to quantify dose rates during operation, post-shutdown, and transport. A key aspect of this work involved assessing activation products in core materials, auxiliary components, and surrounding environments to determine their contribution to …

From Flames To Change: An Exploration Of Housing, Fire, And Inequity, Helen Underhill, Charles R. Jennings, Brian Meacham, Danielle Antonellis

Publications and Research

Housing and fire safety are deeply connected: inadequate and poorly maintained housing poses heightened fire risk for occupants. An individual or household’s housing situation (including limited or constrained choice) interacts with issues such as affordability, access, location, quality, safety, occupancy levels, tenure type, and resident or immigration status. These dynamics shape vulnerability, and inequity becomes most visible in the event of a fire. The extreme end of this spectrum includes the unhoused, who occupy structures entirely outside of regulatory systems with little or no fire protection.

Exploring Corona Discharge In Electrostatic Printing For Electronics And In Other Application, Zijian Weng

USF Tampa Graduate Theses and Dissertations

The field of printed electronics (PEs) is expanding rapidly, driven by increasing market demand. According to reports, the global market for PEs is expected to reach $23 billion by 2026, with a compound annual growth rate of 18.3% from 2023 to 2028. This growth necessitates the development of innovative printing technologies that can meet these demands efficiently, delivering high-quality, high-resolution PEs suitable for applications in health, environmental monitoring, sports, aerospace, and more.

Currently, PEs manufacturing relies on two main groups of printing technologies. Contact printing methods offer high-speed production but struggle with precision, while non-contact methods provide high resolution but …

Increasing Electric Vehicle Charger Availability With A Mobile, Self-Contained Charging Station, Robert Serrano, Arifa Sultana, Declan Kavanaugh, Hongjie Wang

Electrical and Computer Engineering Student Research

As the transition to sustainable transportation has accelerated with the rise of electric vehicles (EVs), ensuring drivers have access to charging to maximize the electric miles driven is critical to lowering carbon emissions in the transportation sector. Limited charging station capacity and poor reliability, especially during peak travel times, long distance travels, holidays, and events, have hindered the adoption of EVs and threaten the progress toward reducing greenhouse gas emissions. Adaptive, flexible deployment strategies combined with innovative approaches integrating mobility and renewable energy are essential to address these systemic challenges and bridge the current infrastructure gap. To address these challenges, …