Digital Commons Network^™

Real-Time Gun Detection In Video Streams Using Yolo V8, Harish Kumar Reddy Kunchala

Electronic Theses, Projects, and Dissertations

In this research, we advance the domain of public safety by developing a machine learning model that utilizes the YOLO v8 architecture for real-time detection of firearms in video streams. A diverse and extensive dataset, capturing a range of firearms in varying lighting and backgrounds, was meticulously assembled and preprocessed to enhance the model's adaptability to real-world scenarios. Leveraging the YOLO v8 framework, known for its real-time object detection accuracy, the model was fine-tuned to accurately identify firearms across different shapes and orientations.

The training phase capitalized on GPU computing and transfer learning to expedite the learning process while preserving …

Crime Data Prediction Based On Geographical Location Using Machine Learning, Sai Bharath Yarlagadda

Electronic Theses, Projects, and Dissertations

This project employs machine learning methods like K Nearest Neighbors (KNN), Random Forest, Logistic Regression, and Decision Tree algorithms to monitor crime data based on location and pinpoint areas with risks. The project implements and tunes the four models to improve the precision of predicting crime levels. These models collaborate to offer a trustworthy evaluation of crime patterns. K Nearest Neighbors (KNN) categorizes locations by examining the proximity of data points considering coordinates and other factors to identify trends linked to increased crime data. Logistic Regression gauges the likelihood of crime incidents by studying the connection, between factors (like location …

Time-To-Failure Prediction Of Fine-Grained Soil Slopes Subject To Weather-Driven Deterioration, Arm M. Morsy

Mineta Transportation Institute

Embankments have been widely used in the construction of transportation and flood defense infrastructure. Embankments constructed from clays experience a suite of weather-driven deterioration processes that lead to a progressive loss of hydromechanical performance, causing potentially severe and costly consequences. This study aimed to predict the time to failure of aging, deteriorating clay embankments supporting transportation infrastructure. A multi-phase numerical modeling approach was developed to replicate the long-term, weather-driven, hydromechanical behavior of clay embankments. This model simulated the behavior of a number of well-documented embankment failure case studies that had sufficient data to derive the necessary soil properties and climate …

Evaluation Of Machine Learning Algorithms And Statistical Analysis For Predicting Crash Severity And Determining Contributing Factors: A Comparative Study, Arian Golrokh Amin

Civil Engineering ETDs

Improving road traffic safety relies on the ability to accurately predict traffic crashes and understand the factors contributing to severe injuries. This study employs a dual approach, utilizing both statistical analysis and machine-learning methodologies. Initially, statistical analyses such as chi-squared tests and Cramer's V values are applied to a decade's worth of police report data from Albuquerque, New Mexico, to identify primary causal factors behind crashes. Subsequently, machine-learning models are developed and rigorously compared to predict the severity of traffic crash injuries. The selection of the most effective algorithm is based on comprehensive metrics including accuracy, precision, recall, and F1 …

Blast Wave Simulator For Laminated Glass Panels Experimental Evaluation, Mahmoud T. Nawar, Ayman El-Zohairy, Alaa El-Sisi, Hani Salim

Faculty Publications

The study of blast loads on structures is important due to the potential of significant consequences in various scenarios. From terrorist attacks to industrial accidents, comprehending how structures respond to blast waves is critical for ensuring public safety and designing resilient structures. Studying these effects typically involves two main methods: free-field tests with live explosives and shock tube tests. Although shock tube testing offers certain advantages, both approaches are costly and demand significant space. This research aims to develop a cost-effective and straightforward technique for generating stress waves that closely replicate the progressive and spatial characteristics of free-field or shock …

Evaluation Of Dotd’S Aggregate Sources Friction Using Laboratory And Accelerated Testing, Sudhir Bharati

LSU Master's Theses

Roadway safety is of utmost importance to the state transportation agencies. One of the major factors of roadway safety that agencies have control over is pavement friction which is affected by aggregate and mixture type. The Louisiana Department of Transportation and Development (DOTD) currently uses Polished Stone Values (PSV) obtained from the British Pendulum Device to rate its aggregates. These ratings determine the applicability of aggregates for various projects. However, the ratings are inconsistent, posing significant safety and financial risks. The first part of the thesis compares the currently adopted British Wheel Polisher-based Standard Practice for the Accelerated Polishing of …

Public Realm For Enhanced Quality Of Life :Interactive Spaces Combating Climate Change, Amal M . El- Ellithy , Mohamed M. Yossef , And Mai W. Madkour

Journal of Engineering Research

Currently, facing climate change stands as a crucial focus within architecture, urban planning and design .Urban design is constructive endeavor aimed at benefiting the public. The public realm that creates the environment for individuals and communities to effectively, safely, meaningfully and permanently lead their lives .For a prolonged duration the public realm have been formulated to accommodate severe climatic conditions .the reality persists that the essence of a signification public realm continue to be widely disregarded . The aim is to clarify how exceptional quality, effectively designed, and well-managed approaches can be beneficial to implement as a strategy for climate …

الإطار المنهجي لتطبيق فكر الأقاليم الذكية كمدخل لتحقيق مبادئ التنمية العمرانية المستدامة في مصر, Ahmed Mohamed El Sayed Abdallah Marzouk Ahmed Marzouk

Journal of Engineering Research

The concept of smart city/region has become increasingly common due to the rapid acceleration of digital transformation in the use of advanced technologies across all sectors. This has had a significant impact on the urban environment of both urban and rural agglomerations. The concept of the smart city has extended to include larger spatial regions as a result of the sectorial relationships and interactions that arise between these agglomerations, forming what is known as Smart Regions.

The importance of studying and analyzing smart regions has increased due to the great opportunity they represent in achieving high rates of development in …

Automated Concrete Bridge Deck Inspection Using Unmanned Aerial Systems Collected Data: A Machine Learning Approach, Rojal Pokhrel

Master's Theses

Many national infrastructures, particularly bridges, are becoming older and older day by day. Their safe operation and maintenance require routine monitoring and inspection. There are lots of bridge inspection specifications and manuals to guide inspectors to give the proper recommendations about the bridge structure and safety. These manuals and specifications require bridge inspectors to manually inspect the bridge and recommend maintenance and repair tasks referring to the specific criteria available in the manuals. In time, the application of technology makes many Unmanned Aerial Systems (UAS) advancements during the phase of data collection. For the image processing and analysis of collected …

An Experimental Study On Mixed Hydrocarbon Gas On Transport Through Subsurface And Atmospheric Interfaces With Application To Natural Gas Pipline Leak Dection And Quantification, Richard Kolodziej

Civil and Environmental Engineering Theses and Dissertations

Natural gas (NG) production and usage as a fuel source have surged in recent years, becoming a critical component of the global energy system and requiring extensive belowground pipeline infrastructure. Leaks in belowground pipelines release fugitive methane (CH₄) emissions, posing significant environmental, safety, and economic risks. Effective leak detection and quantification (LDAQ) methods are essential for identifying and measuring leaks to enable timely repairs and accurately address these threats. However, few studies have characterized the effectiveness of current and advanced LDAQ survey methods for belowground NG pipelines, with existing work often limited to technology-centric evaluations or studies of …

Single-Valued Neutrosophic Mcdm Approaches Integrated With Merec And Ram For The Selection Of Uavs In Forest Fire Detection And Management, Mai Mohamed, Amira Salam, Jun Ye, Rui Yong

Neutrosophic Systems with Applications

In recent times, the world has experienced a rise in the frequency of forest fires. These fires cause severe economic damage and pose a significant threat to human lives. Therefore, it is essential to search for solutions that can help combat fires and detect them early. Once a fire reaches a certain level, it becomes challenging to control it. Various systems have been proposed to collect data and detect forest fires, such as satellites and other traditional methods. However, these solutions have been ineffective in terms of cost, coverage of large areas, accuracy, and the safety of human lives. To …

Kernel Ridge Regression In Predicting Railway Crossing Accidents, Ethan Villalobos, Constantine Tarawneh, Jia Chen, Evangelos E. Papalexakis, Ping Xu

Mechanical Engineering Faculty Publications

Expanding on the insights from our initial investigation into railway accident patterns, this paper delves deeper into the predictive capabilities of machine learning to forecast potential accident trends in railway crossings. Focusing on critical factors such as “Highway User Position” and “Equipment Involved,” we integrate Kernel Ridge Regression (KRR) models tailored to distinct clusters, as well as a global model for the entire dataset. These models, trained on historical data, discern patterns and correlations that might elude traditional statistical methods. Our findings are compelling: certain clusters, despite limited data points, showcase remarkably Root Mean Squared Error (RMSE) values between predictions …

Spectral Clustering In Railway Crossing Accidents Analysis, Ethan Villalobos, Hector Lugo Iii, Biqian Cheng, Miguel Gutierrez, Constantine Tarawneh, Ping Xu, Jia Chen, Evangelos E. Papalexakis

Mechanical Engineering Faculty Publications

This study employs graph mining and spectral clustering to analyze patterns in railway crossing accidents, utilizing a comprehensive dataset from the US Department of Transportation. By constructing a graph of implicit relationships between railway companies based on shared accident localities, we apply spectral clustering to identify distinct clusters of companies with similar accident patterns. This offers nuanced insight into the underlying structure of these incidents. Our results indicate that “Highway User Position” and “Equipment Involved” play pivotal roles in accident clustering, while temporal elements like “Date” and “Time” exert a diminished impact. This research not only sheds light on potential …

Remote Vibration Based Monitoring Of Bridge Scour, Alan Kazemian

Dissertations

The gradual erosion of the sediment around a bridge foundation is called Scour. This erosion is caused by water flow and increases during times of high-water flow such as flooding. The scour leaves the bridges structurally unsound over time and jeopardizes the safety of the structure. Approximately 60 percent of bridge failures in the United States are caused by scour. A variety of types of devices have been used to detect scour. Most of these devices only observe the scour and not the structural integrity of the bridge. The typical approach has relied on visual inspections of the bridges after …

Study Of Factors Influencing Traffic Violations In Jakarta: Perspective Of The Theory Of Planned Behavior (Tpb) In The Implementation Of Electronic Traffic Law Enforcement (Etle), Khobat Dewa Ruci, Sutanto Soehodho, R. Jachrizal Sumabrata

Smart City

Transportation safety in Indonesia reflects its culture and modernity, but the high rate of traffic accidents indicates significant challenges. Data from IRSMS and Polda Metro Jaya reveal an increase in accidents and traffic violations, reinforcing the need for effective law enforcement. The implementation of ETLE, supported by Law No. 22 of 2009 on Road Traffic and Transportation and Law No. 19 of 2016 on Electronic Information and Transactions, is a strategic effort to improve law enforcement. However, its effectiveness in Jakarta context still requires in-depth evaluation. This thesis focuses on the psychological factors in the use of ETLE using the …

Advanced Acoustic Emission-Based Shm For Concrete Structures: Real-Time, High-Precision Imaging Of Crack Geometry And Damage Sourcetype Using Moment Tensor Inversion, Seyyedmaalek Momeni, Thomas Schumacher, Lindsay Linzer, Brice Lecampion

Civil and Environmental Engineering Faculty Publications and Presentations

In this paper, we introduce a novel automated and high-precision acoustic emission (AE) monitoring algorithm and the software SIMORGH, which is suitable for structural health monitoring (SHM) of civil structures. Initially developed for laboratory-scale hydraulic fracture monitoring, this core software has been effectively scaled up to meter-level applications and is compatible with heterogeneous media such as concrete. It is designed to work with various standard data formats and is handles both trigger-based and continuous data. We present initial results from implementing this software in the AE monitoring of two 4.88-meter-long concrete beams in a laboratory setting, comparing it with manually …

Network Slicing And Noma Enabled Mobile Edge Computing For Next-Generation Networks, Mohammad Arif Hossain

Dissertations

The advent of next-generation wireless networks ushers in a new era of potential, harnessing cutting-edge technologies like mobile edge computing (MEC), non-orthogonal multiple access (NOMA), and network slicing as pivotal drivers of transformation. Within this landscape, an innovative approach is proposed by introducing a NOMA-enabled network slicing technique within MEC networks. This approach aims to achieve multiple objectives: meeting stringent quality of service requirements, minimizing service latency, and enhancing spectral efficiency. By seamlessly integrating NOMA with network slicing in edge computing environments, significant reductions in overall latency are achieved, alongside ensuring optimal resource allocation for NOMA users. To address these …

Path Planning And Cyber-Physical System Integration In Unmanned Aerial Vehicles For Wireless Communication, Mohamad Hani Sulieman

Dissertations - ALL

Unmanned Aerial Vehicles (UAVs) have become indispensable in a variety of fields, including surveillance, emergency response, packet delivery, and data collection for the Internet of Things (IoT). These systems are also critical in enhancing connectivity within cellular networks. This dissertation focuses on improving UAV operational efficiency and security by advancing trajectory optimization techniques, enhancing trajectory design through antenna radiation patterns, and increasing resilience against cyber-physical attacks, particularly GPS sensor faults. The first part of the study addresses UAV trajectory optimization in wireless communications, highlighting the significance of trajectory planning in improving the efficiency and reliability of UAV operations. Effective trajectory …

Discrete Element Method Investigation Of The Dynamic And Seismic Response Of Embedded Geotechnical Systems, Ahmed Khamiss, Usama El Shamy

Civil and Environmental Engineering Theses and Dissertations

This study examines the seismic response of various embedded geotechnical systems utilizing the discrete element method (DEM). Embedded geotechnical systems play a crucial role in enhancing the stability and resilience of various structures as they provide solid foundations for infrastructural elements such as buildings, bridges, and transportation networks. The behavior of various embedded systems such as tunnels, pier foundations, and wind turbine foundations is investigated when subjected to seismic loading. In the first study, the seismic response of tunnels constructed in a deposit of granular soil of depth greater than 20 m is examined. Three-dimensional discrete element method simulations were …

Climate Change Impacts On Bridge Scour Risk In New York State, Alexis Torres

Publications and Research

Bridge scour, the erosion of sediment around bridge foundations, is the leading cause of bridge failure in the United States. This problem is exacerbated by severe storms and the impacts of climate change, which can increase the risk of scour-related bridge failures. Effective prioritization and mitigation of scour risks is crucial for enhancing the resilience of transportation networks. Addressing the level of Scour to abutments that are submerged in large bodies of water caused by climate is a monumental task and operation to facilitate.

Application Of Biochar / Bentonite Based Admixtures In Reinforced Concrete For Corrosion Prevention, Jacob Fleury

Graduate Theses & Non-Theses

Reinforced concrete systems are in many sectors of infrastructure. Due to a combination of elevated compressive strength from the cement and aggregates and tensile strength from the reinforcing steel, reinforced systems are favorable in construction applications where high strength is desired. However, while reinforced concrete is in service, it can be introduced to contaminants that cause corrosion. Contaminants can leach through the porous matrix of the concrete structure and influence initiation of corrosion products on reinforcement. Corrosion is the primary cause for advanced deterioration of concrete structures. Concrete deterioration has promoted research efforts for the protection of future systems. This …

Investigating Rural Traffic Dynamics: A Traffic Study On E 2nd Street Intersection’S Behavior And Safety, Ma Anjelika Rose T. Pineda

2024 Spring Honors Capstone Projects - Archive

Traffic studies guide engineers in designing road networks to ensure smooth traffic flow and public safety. Such studies assess the need for traffic control devices to manage vehicle flow safely and efficiently. This is crucial at intersections which pose high risks of collision and congestion. A traffic analysis at the intersection of Island Grove and E 2nd Street on the FM-4 roadway in Cleburne, TX was conducted to evaluate the sufficiency of the current traffic control device. TxDOT warrants and standards and a field study were utilized and performed to justify the substitution for a traffic signal at the intersection. …

The Development Of A Convenient And Consistent Methodology For Flight Proficiency To Certify Multi-Rotor Uas Pilots For State Departments Of Transportation, Colin Dees

All Dissertations

To fly an unmanned aircraft system (UAS), commonly referred to as a “drone,” the Federal Aviation Administration (FAA) requires pilots to pass a knowledge test. There is no requirement at the state or federal level for drone operators to demonstrate the ability to operate a UAS. The National Institute of Science and Technology (NIST) has created an exam for public and private entities to assess basic UAS flight proficiency. It is the only nationally recognized flight proficiency protocol. NIST does not provide a scoring recommendation and leaves it to the user to determine the minimum criteria to pass. There is …

Developing Resilient Defense Strategies Against Pheromone-Based Attacks In Foraging Robot Swarms, Ryan A. Luna

Theses and Dissertations

This thesis delves into the security of stochastic pheromone-based foraging algorithms within swarm robotic systems, a subset of foraging algorithms distinguished by their reliance on probabilistic decision-making mechanisms inspired by the natural world. Such algorithms face vulnerabilities in stigmergic communication that threaten to disrupt swarm operations. This research investigates these vulnerabilities, presenting two distinct contributions.

The first contribution examines the implementation of quarantine strategies as a defensive measure to isolate and mitigate the impact of fake resource attacks. By simulating these attacks, this study quantitatively assesses their detrimental effects on swarm efficiency and explores the efficacy …

A Dedicated Lane Analysis For Supply Chain Resilience In The U.S.-Mexico Border: Cost-Comparison And Simulation Models, Carlo A. Zorola Gonzalez

Theses and Dissertations

Supply chains have been actively developing and implementing strategies to enhance resilience in response to various disruptive events like the COVID-19 pandemic, hurricanes, geopolitical tensions, and climate change. These strategies aim to address demand and supply imbalances, logistical challenges, and policy restrictions encountered in transborder commerce. One area significantly impacted by such disruptions is cross-border trade between the US and Mexico. Understanding these strategies is crucial for achieving supply chain resilience, defined as the ability of a supply chain to quickly adapt to sudden disruptions without affecting the flow of goods. In both the US-Mexico and US-Canada borders …

Routing Opportunities For Commercial Crossings Between El Paso And Juarez, Marek Musil

Open Access Theses & Dissertations

This thesis explores the topic of commercial movements between the El Paso and Ciudad Juarez road networks and the implications of the possible changes in their routing. This area houses several ports of entry, which present one of the busiest commercial and personal border crossings in the whole nation. The primary focus was to evaluate the recently proposed reconstruction scenario of removing trucks from the Bridge of the Americas and study the impacts on the flows throughout the other ports. The chosen tool to support the analysis is a mesoscopic simulation software called DynusT, which is capable of modeling the …

Effect Of The Microstructure On The Corrosion Behavior Of Alcunimn And Alcunimnsi High Entropy Alloys In A 3.5wt% Nacl Solution, Celine Chiong

Open Access Theses & Dissertations

In this study, the AlCuNiMn and AlCuNiMnSi high entropy alloys (HEAs) are investigated to characterize the effect of Si addition and subsequent annealing treatments on the corrosion behavior in a 3.5wt% NaCl solution at room temperature. The microstructure evolution from the as-received condition and after annealing at 600°C, 800°C, and 1000°C for 24 hours in air is examined. The microstructural transformation of HEAs is extensively reported in the literature. However, its impact on the corrosion resistance of HEAs has not received the same attention. In this study, an increase in the annealing temperature of the base AlCuNiMn alloy improved the …

Final Design Of Legion Hall Revitalization In Potter, Nebraska, Madison Brennfoerder

Honors Program: Senior Projects (Public)

This project was conducted to renovate and revitalize the Legion Hall community center in the Village of Potter located in western Nebraska north of the Interstate. The work completed for this project can be separated into five disciplines: Hydrologic & Hydraulic Design, Geotechnical Analysis, Structural Analysis, Environmental Analysis, and Transportation Design. Legion Hall is a historical building within The Village of Potter which was built in 1917. The Village of Potter has recently acquired the rights to the hall and is seeking to revitalize the historical community center to increase tourism in the village.

Winter Precipitation Analysis: Comparing Integrated Multi-Satellite Retrievals For Global Precipitation Measurement (Imerg) From Satellites With Ground Instrumentation Observation, Zoe Alber

Honors Scholar Theses

The main goal of the following thesis is to evaluate the accuracy and reliability of satellite-based precipitation measurements during a winter storm event by comparing them with ground-based observations. This study is divided into several key sections, each addressing a specific aspect of the analysis. The introduction provides background information and establishes the scope of the study, highlighting the importance of accurately measuring winter precipitation for forecasting and climate studies. The subsequent literature review explores the historical context, modern uses, and future trends in winter storm detection and precipitation modeling. Then, this study explores conceptual framework utilized throughout the research …

Incorporating Safety Excellence Into Urban Air Mobility (Uam): Insights From Commercial Aviation, Rotorcraft, And Unmanned Aerial Systems (Uas), Seyoung "Evie" Jang

Senior Honors Theses

This paper focused on safety considerations in Urban Air Mobility (UAM) through a cross-industry examination of commercial aviation, rotorcraft, and unmanned aerial systems (UAS). Although UAM promises transformative benefits, there are safety concerns remaining. Based on the Federal Aviation Administration (FAA)’s Concept of Operations (ConOps), the literature review explained the fundamental concepts of UAM. In commercial aviation, regulatory framework, pilot training and certification, vehicle design and maintenance, and emergency response planning are emphasized. For rotorcraft, safety requirements for vertical flight, collision avoidance systems, heliport standards, and weather adaptability are crucial. Leveraging UAS advancements, the study suggested autonomous systems, sense-and-avoid technology, …