Digital Commons Network^™

Low-Head Dams (Aka Drowning Machines) Are Deadly: An Analysis Of Liability For Landowners And States, And Recommendations For Legislation And Warning Signs, Forrest R. Hansen, Rollin H. Hotchkiss

Kentucky Journal of Equine, Agriculture, & Natural Resources Law

No abstract provided.

What Is Engineering Ethics Education? Exploring How The Education Of Ethics Is Defined By Engineering Instructors, Diana Adela Martin, Eddie Conlon

Books/Book chapters

The literature on engineering ethics education highlights the diversity of goals and topics employed in its instruction. The contribution aims to examine the conceptualisation of engineering ethics education in terms of how it is defined and how its goals are articulated. The research is conducted in cooperation with the national accrediting body Engineers Ireland. It is based on interviews with instructors teaching courses self-identified by engineering programmes as having a strong ethical component and evaluators serving on accreditation panels. The main findings confirm the existence of a varied and uneven understanding of engineering ethics education. The study encountered conflicting views …

Evaluations Of Frp Composite Coupons Under Impact And Puncture, Lekhnath Bhandari

Graduate Theses, Dissertations, and Problem Reports (ETD)

Evaluations of FRP Composite Coupons Under Impact and Puncture

Lekhnath Bhandari

Railroad tank cars are the main mode of transportation for carrying flammable liquids and other hazardous materials, in any mode of ground transportation system. These tank cars, if punctured during derailments may explode releasing large amounts of hazardous materials and posing serious threats to human life and leading to economic losses. To minimize such catastrophes, in 2015, United States Department of Transportation (USDOT) proposed to improve the thermal and puncture performances of these tank cars and introduced two new design specifications: DOT-117 and DOT-117R. Tank cars with 9/16 inches …

A Literature Analysis Of Microgrid Optimization Studies, Izzy Medeiros

Honors Theses and Capstones

Senior civil engineering student, Izzy Medeiros, is presenting her honors thesis in the form of a literature analysis. Her research involved investigating existing microgrid studies and where there are current gaps in the knowledge. About 40 publications written within the last 20 years were analyzed for their research goals, optimization objectives, and microgrid design, pointing to where this research is currently lacking. Most real studies were conducted in Asia, as Southeast Asia has island communities that need the reliability of a renewable microgrid during extreme weather events. Photovoltaic panels in combination with wind turbines comprise the most common configuration of …

Development Of Practical Assessment Techniques For Sinkhole Potential In Florida Based On Sinkhole Vulnerability Indices, Sylvia Pesha

UNF Graduate Theses and Dissertations

Sinkholes are natural geohazards prevalent in Florida's distinctive karst geology, posing risks to public safety, infrastructure, and groundwater integrity. Considering the increasing frequency of sinkhole occurrences in Florida due to land development in vulnerable soils, understanding the potential for sinkhole occurrence can aid in the identification of high-risk locations and inform effective mitigation strategies. Researchers have developed three point-based indices to be used when assessing the vulnerability a project site has to sinkhole formation based on the encountered subsurface conditions. Engineers have historically used an index based on the subsurface layer thicknesses, called the Raveling Index (RI). In recent years, …

Accelerating Precision Station Keeping For Automated Aircraft, James D. Anderson

Browse all Theses and Dissertations

Automated vehicles pose challenges in various research domains, including robotics, machine learning, computer vision, public safety, system certification, and beyond. These vehicles autonomously handle navigation and locomotion, often requiring minimal user interaction, and can operate on land, in water, or in the air. In the context of aircraft, one specific application is Automated Aerial Refueling (AAR). Traditional aerial refueling involves a "tanker" aircraft using a mechanism, such as a rigid boom arm or a flexible hose, to transfer fuel to another aircraft designated as the "receiver". For AAR, the boom arm may be maneuvered automatically, or in certain instances the …

Smoke, Air, Fire, Energy (Safe) In Rural California: Critical Reflections On An Interdisciplinary Research Collaboration, Deepti Chatti, Carisse Geronimo, Cassidy Barrientos, Jana Ganion, Malcolm Moncheur, Peter Alstone Phd, Shawn Bourque, Tanya Garcia, Tesfayohanes Yacob

Humboldt Journal of Social Relations

This article provides a synthesis of the interconnected problems of tenuous energy access, wildfires, and exposures to high air pollution in Indigenous communities in rural California through the lens of ongoing collaborative research being carried out by researchers at Cal Poly Humboldt, Schatz Energy Research Center, Karuk Department of Natural Resources, and the Blue Lake Rancheria Tribe. The collaboration is funded by the Strategic Growth Council of the state of California, and we hope is the beginning of a longer term relationship between all partners. We are an interdisciplinary team of researchers drawing on energy engineering, air pollution science, and …

Precision Meteorological Prediction Employing A Data-Driven, Adaptive, Real-Time (Dart) Approach, Sujit Sinha

Theses and Dissertations--Mechanical and Aerospace Engineering

The objective of this research is to improve precision meteorological prediction, benefiting both uncrewed aerial vehicle (UAV) operations by avoiding hazardous flight conditions and tracking contaminant or toxic clouds caused by incidents, accidents, or fires. The operational concept is to collect meteorological observations from instruments mounted on a swarm of UAVs, telemeter the data to a weather simulation model, revise the predicted solution by adapting the flow field to the observations, and then transmit the updated forecast to appropriate personnel as well as to the guidance system of UAVs for repositioning to the next set of most beneficial measurements. While …

The Rhetorical Art Of Risk Assessment: Lessons From Risk Management In Rural And Tribal Communities, John L. Velat

Dissertations, Master's Theses and Master's Reports

Risk assessment, mitigation, and communication rely on data from multiple sources to form a complete understanding of hazards and how to manage them. Experts can use these data to make informed decisions about the nature and extent of risks and inform the public to protect health, the environment, and economic welfare. However, in an effort to objectively make decisions, technical experts and policymakers increasingly rely on quantitative data as the most important determiner of risk, which can alienate the public, limit risk understanding, and delay or miss obvious signals of impending catastrophe. I examine several cases based on my experiences …

Northrop Grumman Collaboration Project, Nikkia Rae Psomas-Sheridan, Santiago Robles, Ben Elkayam, Benjamin Ulfhake

Mechanical Engineering

The Northrop Grumman Collaboration Project (NGCP) is a collaborative club project sponsored by Northrop Grumman for the students of Cal Poly San Luis Obispo (CPSLO) and Cal Poly Pomona (CPP) to create a fleet of vehicles to aid in the simulated rescue of stranded hiker. The CPSLO club is responsible for delivering an autonomous flight vehicle that can suppress a fire and retrieve a payload. Mechanical Design Team of the CPSLO team was responsible for the design of the frame, electronics housing, and payload and fire suppression systems.

Computational Decision Support For Socio-Technical Awareness Of Land-Use Planning Under Complexity—A Dam Resilience Planning Case Study, Andreas Tolk, Jennifer A. Richkus, F. Leron Shults, Wesley J. Wildman

VMASC Publications

Land-use planning for modern societies requires technical competence as well as social competence. We therefore propose an integrative solution enabling better land-use planning and management through better-informed decision-making. We adapt a method developed for cross-disciplinary team building to identify the stakeholders and their various objectives and value systems. We use these results to populate artificial societies embedded into a dynamic data analytics framework as a tool to identify, explore, and visualize the challenges resulting from the different objectives and value systems in land-use planning and management. To prove the feasibility of the proposed solution, we present two use cases from …

The Pre-Processing Of Wt Blade Images By Ss And Bilateral Filter With Machine Learning Frameworks, Joy Iong-Zong Chen, Chien-Yeh Lee, Wien-Chieh Lo

Journal of Marine Science and Technology–Taiwan

This paper discusses the motivation behind turbine migration and addresses the challenges of using NN (neural network) computing systems. Moreover, it focuses on high-dimensional data from WT (wind turbine) blades. The three key aspects addressed in this study are turbine migration, overfitting, and strict feature selection. To evaluate the performance of the machine learning system, the study considers the characteristics of WT blades, specifically the similarity in blade color and the differences in shape. The authors apply pre-processing techniques, in particular a bilateral filter, in conjunction with the SS (selective synthesizer) of blade fouling patterns. The SS method adopts the …

Comparative Adjudication Of Noisy And Subjective Data Annotation Disagreements For Deep Learning, Scott David Williams

Browse all Theses and Dissertations

Obtaining accurate inferences from deep neural networks is difficult when models are trained on instances with conflicting labels. Algorithmic recognition of online hate speech illustrates this. No human annotator is perfectly reliable, so multiple annotators evaluate and label online posts in a corpus. Labeling scheme limitations, differences in annotators' beliefs, and limits to annotators' honesty and carefulness cause some labels to disagree. Consequently, decisive and accurate inferences become less likely. Some practical applications such as social research can tolerate some indecisiveness. However, an online platform using an indecisive classifier for automated content moderation could create more problems than it solves. …

The Impact Distracted Driving Has On Fatal Crashes, Adam Pohrte

Williams Honors College, Honors Research Projects

Distracted driving has been a major problem in the United States and around the globe for quite some time. It is one of the leading causes of fatal car crashes, and its impact on road safety has been the subject of much research and debate. The purpose of this paper is to focus on the driver who was distracted that ended up causing the crash. To obtain precise data and results, all the information about these crashes is from the Fatality Analysis Reporting System (FARS). FARS is a nationwide census maintained by the National Highway Traffic Safety Administration (NHTSA) that …

Video Anomaly Detection Using Residual Autoencoder: A Lightweight Framework, Mohamed H. Habeb, May A. Salama, Lamiaa A. Elrefaei

Mansoura Engineering Journal

This paper proposes an efficient lightweight deep spatial residual autoencoder (SRAE) model to detect anomalous events in video surveillance systems. A lightweight network is essential in real-time situations where time is critical. Moreover, it could be deployed on low-resource devices like embedded systems or mobile devices. This makes it a very useful option for real-world situations where there may be a shortage of resources. The proposed network is composed of a 3-layer residual encoder-decoder architecture that is adopted to acquire the salient spatial characteristics representative of normal events in videos. Then, the reconstruction loss is used to find abnormalities, where …

Community And Key Player Detection For Disrupting Illicit Drug Supply Networks In Social Media Platforms – Especially On Instagram, Akassi Rachel Niamke Aman

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis focuses on the pressing issue of illicit drug trafficking and its impact on public health and safety at a global level. With the advent of digital technologies and social media platforms, combating drug trafficking has become increasingly challenging for law enforcement and researchers alike. Among these platforms, Instagram, a popular photo and video-sharing social networking platform, has emerged as a prominent hub for drug trafficking activities.

In this study, we delve into the effectiveness of community and key player detection algorithms in identifying and disrupting illicit drug supply networks on Instagram. To conduct our research, we collected real …

A Study On Crash Reduction Of A Signalized Intersection Converted To A Multi-Lane Roundabout, Ian Fuller

Williams Honors College, Honors Research Projects

An analysis of traffic patterns and design issues with East Main Street in Kent, Ohio. Including potential improvements.

Efficient Video Qoe Prediction In Intelligent O-Rans, Aditya Kulkarni

Master's Projects

Open Radio Access Network (O-RAN) is a platform developed by a collaboration between wireless operators, infrastructure vendors, and service providers for deploying mobile fronthaul and midhaul networks, built entirely on cloud-native principles. The vision of O-RAN lies in the virtualization of traditional wireless infrastructure components, like Central Units (CU), Radio Units (RU), and Distributed Units (DU). O-RAN decouples the above-mentioned wireless infrastructure components into opensource elements, operating consistently with other elements of different vendors in the network. Quality of Experience (QoE) deals with a user’s subjective measure of satisfaction. RAN Intelligent Controller (RIC) in O-RAN provides flexibility to intelligently program …

Predicting Florida's Extreme Wind Events: A Deep Learning Approach, Irene Josephat Byemerwa

UNF Graduate Theses and Dissertations

Extreme wind events, such as hurricanes and tropical storms, have devastating impacts on infrastructure, economy, and public safety in Florida. Traditional predictive methods, linear regression, logistic regression, and autoregressive integrated moving-average (ARIMA) models have limitations in accounting for non-stationarity and nonlinearity in meteorological data, leading to less accurate predictions. The primary objective of this study is to leverage the capabilities of deep learning algorithms, specifically, Feedforward Neural Networks (FFNNs), to develop a predictive model that outperforms traditional predictive methods in forecasting extreme wind events in Florida. The deep learning model was trained, validated, and tested using historical wind speed data …

Exploring Of User Experience And Evaluating Mobility Benefits Of Micromobility Systems And Golf Carts: Case Study Of Florida, Kabhabhela C. Bukuru

UNF Graduate Theses and Dissertations

Micromobility devices and golf carts (GCs)/Low speed vehicles(LSVs) are urban transportation solutions that provide short-distance travel options, including first- and last-mile trips. They mostly operate at speeds of 15 mi/h to 35 mi/h. The micromobility devices include e-scooters and e-bikes. The micromobility devices and golfcarts are increasing rapidly in the transportation system, and thus, it is necessary to explore their various factors. The objective of this study is to explore the user experience and evaluate the mobility benefits of the micromobility systems in Florida.

A survey was conducted in various cities with a substantial user base of micromobility devices. Various …

Practical Implementation Of Oscillation Source Detection Using Dissipating Energy Flow Method, Thanapon Jongjarussang

Chulalongkorn University Theses and Dissertations (Chula ETD)

Power grid oscillation with poorly damped performance is a growing problem. The oscillation source needs to be quickly and precisely identified in order to mitigate the oscillation issues to prevent any detrimental conditions that may arise. An incoming of synchrophasor technology enables the use of dissipating energy flow (DEF) method to practically identify the oscillation source. This research thesis aims at validating the DEF-based method and then developing an application tool to identify the oscillation source in a practical power grid. The DEF method was validated through various simulated oscillation cases based on IEEE 39-bus system leading to a promising …

Technical Feasibility Studies Of The Microgrid Pilot Project At Rubesa In Bhutan., Karma Chheki

Chulalongkorn University Theses and Dissertations (Chula ETD)

Over the years, Microgrid integration of hybrid renewable resources has emerged as a game-changing solution, significantly enhancing resilience and sustainability in the global energy landscape. This thesis introduces both isolated and grid-connected microgrid designs tailored to the context of Rubesa, a local community in the western part of Bhutan called Wangduephodrang district. Drawing upon hybrid solar and hydro resources to serve the local demand, the study emphasizes a Technical Feasibility Study of a Resilience-Oriented Utility Microgrid Pilot Project using the Hybrid Optimization Multiple Energy Resources (HOMER Pro) software. Test results demonstrate that a diversified mix of renewable energy sources of …

Technical And Economic Feasibility Of A Microgrid For A Fire Station In Humboldt County, California., Nishaant Kumar Sinha

Cal Poly Humboldt theses and projects

Microgrids are emerging as a promising solution to unreliable grid energy. Today, California is not only witnessing grid resiliency challenges from natural disasters such as wildfires, earthquakes, floods and heatwaves, but it is also seeking to green the grid and bring more renewables online. For example, Humboldt County, where this project is focused, has recently experienced an earthquake of 6.4M (on December 22nd, 2022), which shut down the regional grid for ~20 hours.

Microgrid adoption enables critical facilities to operate seamlessly. The Humboldt Bay Fire Station (HBFS) No.1 is one such example, where first responders work to protect citizens against …

Visual Sensing For Comprehensive Granular Traffic Data Collection In Support Of Intelligent Transportation Applications, Linjun Lu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Comprehensive granular traffic data collection has been identified as one of the most essential tasks in the development of intelligent transportation systems (ITS). With the recent advances in electro-optical sensors and computational capacities, machine vision is regarded as cost-efficient for traffic data collection. However, the existing vision-based methods are only applicable for collecting limited types of traffic data, and a unified method allowing for comprehensive traffic data collection is still missing in the existing literature. Moreover, there are still challenges that exist for the use of the existing vision-based methods in real settings, including low accuracy and compromised applicability due …

Designing Exterior Lighting For Safety And Comfort While Minimizing Light Pollution, Energy Consumption, And Cost, Stephen Michael Simmons

Masters Theses

"Artificial light at night brings many benefits to society. However, these benefits do not come without costs. One environmental issue that is often overlooked in the design of public spaces and infrastructure is light pollution. At the expense of large amounts of energy, light pollution causes numerous harmful effects on human health, ecosystems, and the night sky. Today, the problem is becoming more widespread, especially with the increasing use of bright, white LED luminaires. Thus, it is imperative for designers and engineers to create smarter lighting designs that not only allow for safety and comfort at night but also promote …

Optimizing The Placement Of Multiple Uav--Lidar Units Under Road Priority And Resolution Requirements, Zachary Michael Osterwisch

Masters Theses

"Real-time road traffic information is crucial for intelligent transportation systems (ITS) applications, like traffic navigation or emergency response management, but acquiring such data is tremendously challenging in practice because of the high costs and inefficient placement of sensors. Some modern ITS applications contribute to this problem by equipping vehicles with multiple light detection and ranging (LiDAR) sensors, which are expensive and gather data inefficiently; one solution that avoids vehicle-mounted LiDAR acquisition has been to install elevated LiDAR instruments along roadways, but this approach remains unrefined. The eventual development of sixth-generation (6G) wireless communication will enable new, creative solutions to solve …

Usdot Tier-1 University Transportation Center For Advancing Cybersecurity Research And Education, Yunpeng Jack Zhang, Kailai Wang, Lingguang Song, Amaury Lendasse, Houbing Herbert Song, Zhu Han, Rakesh Verma, Arlei Silva, Carlos Rubio-Medrano, Zhixia Richard Li, Guohui Zhang

Engineering Management and Systems Engineering Faculty Research & Creative Works

The Transportation Cybersecurity Center for Advanced Research and Education (Cyber-Care) is a Us Department of Transportation (Usdot) Tier-1 University Transportation Center (Utc) Funded in 2023. Cyber-Care Primarily Focuses on the Usdot Statutory Research Priority Area of 'reducing Transportation Cybersecurity Risks.' Cyber-Care Aims to Establish a Fundamental Knowledge Basis and Explore Advanced Theory to Mitigate the Impacts of Large-Scale Cyberattacks on Transportation Infrastructure and Connected and Automated Vehicle (Cav) Systems. the Research Projects at Cyber-Care Will Develop Conceptual Frameworks, Construct Comprehensive Datasets, Explore Novel Analytical Approaches, Support the Implementation of Public Policies and Infrastructure Investments, and Build a High-Quality Industry Workforce …

Autonomous Decision-Making In Interdependent Computing Systems Based On Artificial Intelligence, Georgios Fragkos

Electrical and Computer Engineering ETDs

With the advent of Artificial Intelligence (AI), the notion of autonomy, in terms of acting and thinking based on personal experience and judgment, has paved the way towards an autonomous decision-making future. This future can address the complex domain of the interdependent computing systems, whose main challenge is that they interact with each other with unpredictable and often unstable outcomes. It is crucial to envision and design this AI-driven autonomy for the reciprocal computing systems which cover a variety of use-cases ranging from the Internet of Things (IoT) to cybersecurity. This can be achieved by cloning the human decision-making process, …

A Machine Learning Approach For Identification Of Low-Head Dams, Salvador Augusto Vinay Mollinedo

Theses and Dissertations

Identifying Low-head dams (LHD) and creating an inventory become a priority as fatalities continue to occur at these structures. Because obstruction inventories do not specifically identify LHDs, and they are not assigned a hazard classification, there is not an official inventory of LHD. However, there is a multi-agency taskforce that is creating an inventory of LHD. All efforts have been performed by manually identifying LHD on Google Earth Pro (GE Pro). The purpose of this paper is to assess whether a machine learning approach can accelerate the national inventory. We used a machine learning approach to implement a high-resolution remote …

A Framework For Multi-Dimensional Assessment Of The Impacts Of Overweight Vehicle Operations And A Corridor-Level Case Study, Maria Alicia Chung Li

Lyles School of Civil Engineering Graduate Student Reports

Ground freight transportation is essential for the economy of any region. The efficient movement of goods from one location to another connects businesses with suppliers and customers, that enhances commerce and ultimately boosts the economy. The high volume of freight that has been transported on the nation’s highway network has allowed the trucking industry to provide enormous socio-economic benefits. Unfortunately, these benefits come with some costs associated with the operation of overweight (OW) trucks, such as accelerated deterioration of highway pavement and bridge assets, and passenger and freight traffic safety degradation. Thus, to manage safety risk, traffic mobility, and infrastructure …