Machine Learning-Based Data And Model Driven Bayesian Uncertanity Quantification Of Inverse Problems For Suspended Non-Structural System,
2023
Clemson University
Machine Learning-Based Data And Model Driven Bayesian Uncertanity Quantification Of Inverse Problems For Suspended Non-Structural System, Zhiyuan Qin
All Dissertations
Inverse problems involve extracting the internal structure of a physical system from noisy measurement data. In many fields, the Bayesian inference is used to address the ill-conditioned nature of the inverse problem by incorporating prior information through an initial distribution. In the nonparametric Bayesian framework, surrogate models such as Gaussian Processes or Deep Neural Networks are used as flexible and effective probabilistic modeling tools to overcome the high-dimensional curse and reduce computational costs. In practical systems and computer models, uncertainties can be addressed through parameter calibration, sensitivity analysis, and uncertainty quantification, leading to improved reliability and robustness of decision and …
Quantification Of Various Types Of Biases In Large Language Models,
2023
Kennesaw State University
Quantification Of Various Types Of Biases In Large Language Models, Sudhashree Sayenju
Doctor of Data Science and Analytics Dissertations
Natural Language Processing (NLP) systems are included everywhere on the internet from search engines, language translations to more advanced systems like voice assistant and customer service. Since humans are always on the receiving end of NLP technologies, it is very important to analyze whether or not the Large Language Models (LLMs) in use have bias and are therefore unfair. The majority of the research in NLP bias has focused on societal stereotype biases embedded in LLMs. However, our research focuses on all types of biases, namely model class level bias, stereotype bias and domain bias present in LLMs. Model class …
Ransomware: Evaluation Of Mitigation And Prevention Techniques,
2023
Kennesaw State University
Ransomware: Evaluation Of Mitigation And Prevention Techniques, Juanjose Rodriguez-Cardenas
Symposium of Student Scholars
Ransomware is classified as one of the main types of malware and involves the design of exploitations of new vulnerabilities through a host. That allows for the intrusion of systems and encrypting of any information assets and data in order to demand a sum of payment normally through untraceable cryptocurrencies such as Monero for the decryption key. This rapid security threat has put governments and private enterprises on high alert and despite evolving technologies and more sophisticated encryption algorithms critical assets are being held for ransom and the results are detrimental, including the recent Colonial Pipeline ransomware attack in 2021 …
Utilizing The System Engineering Trade Study Analysis Method To Analyze Patient Aeromedical Evacuation,
2023
Air Force Institute of Technology
Utilizing The System Engineering Trade Study Analysis Method To Analyze Patient Aeromedical Evacuation, Sara Shaghaghi, Jeremy M. Slagley, Michael E. Miller, Gaiven Varshney
Faculty Publications
The US Air Force has gone through many aeromedical patient isolation transport system designs. The first designs were developed in response to the Ebola outbreak in 2014 and, more recently, the COVID-19 pandemic. The trade study analysis part of the system engineering design method was used to analyze the historic and current aeromedical patient contamination control transport systems. A trade study is a process that evaluates alternatives based upon various “-ilities”, such as reconfigurability, flexibility, durability, cost, and more, and performs a systematic analysis to aid designers in producing a ‘good’ design alternative given the large set of possible solutions. …
Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps),
2023
Southern Methodist University
Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn
SMU Data Science Review
Today, there is an increased risk to data privacy and information security due to cyberattacks that compromise data reliability and accessibility. New machine learning models are needed to detect and prevent these cyberattacks. One application of these models is cybersecurity threat detection and prevention systems that can create a baseline of a network's traffic patterns to detect anomalies without needing pre-labeled data; thus, enabling the identification of abnormal network events as threats. This research explored algorithms that can help automate anomaly detection on an enterprise network using Canadian Institute for Cybersecurity data. This study demonstrates that Neural Networks with Bayesian …
Flood Risk Data For Highway Projects,
2023
Purdue University
Flood Risk Data For Highway Projects, Nabil Ghalayini
Purdue Road School
This presentation will provide project managers and engineers with a clear understanding of available FEMA Risk MAP flood hazard data to better inform project design. This presentation will broadly define flood risk, review the FEMA flood risk database as a source of risk parameters, contrast the regulatory Special Flood Hazard Area (SFHA) with Risk MAP depth and probability grids, and highlight the variability of risk within the SFHA.
Fragility Of The Florida Panhandle's Electrical Transmission Grid To Hurricanes,
2023
Air Force Institute of Technology
Fragility Of The Florida Panhandle's Electrical Transmission Grid To Hurricanes, Zachary D. Schumann
Theses and Dissertations
The increased frequency and intensity of extreme weather events from climate change necessitates understanding impacts on critical infrastructure, particularly electrical transmission grids. One of the foundational concepts of a grid’s resilience is its robustness to extreme weather events, such as hurricanes. Resilience of the electric grid to high wind speeds is predicated upon the location and physical characteristics of the system components. Previous modeling assessments of electric grid failure were done at the systems level with assumptions on location and type of specific components. To facilitate more explicit adaptation metrics, accurate component-level information is needed. In this study, we build …
Modeling Radiation Exposure On Flight Missions To Analyze Aircrew Risk,
2023
Air Force Institute of Technology
Modeling Radiation Exposure On Flight Missions To Analyze Aircrew Risk, Camila V. Quintero Hilsaca
Theses and Dissertations
GCR and SPE comprise the majority of the ionizing radiation experienced in the upper atmosphere within flight-altitude environments. Although previous studies have analyzed radiation doses from single sources on civilian flight operations, there is a lack of research focused on dose received by military personnel during flight from both sources simultaneously. In-flight radiation environments are modeled through the MCNP6 for two separate aircraft, an Air Force A-10 and a Boeing 737. Particle fluence values for galactic cosmic rays and solar particle events for four separate flight paths are determined using the CARI-7A software and the SIRE2 toolkit, respectively. MCNP6 code …
Sea Level Rise Impacts On Wastewater Treatment Plants And Their Social Vulnerability Differences,
2023
Air Force Institute of Technology
Sea Level Rise Impacts On Wastewater Treatment Plants And Their Social Vulnerability Differences, David S. P. Robinson
Theses and Dissertations
Many of the United States’ major cities that have a high population are located along the coast. The number of people residing in low elevation coastal areas, be-low 10 meters, is increasing. Coastal areas may be affected by various short- and long-term climate hazards, such as sea level rise (SLR). Climate change induced SLR will threaten residents and infrastructure in low-lying coastal areas. A household’s capacity to respond to hazards is highly dependent on its socio-demographic situation which determines its social vulnerability. Wastewater treatment facilities area particularly critical piece of infrastructure often located in low-lying areas due to gravity fed …
Applications Of Fragile Curves To Water Distribution Networks,
2023
Air Force Institute of Technology
Applications Of Fragile Curves To Water Distribution Networks, Danielle M. Van Lanen
Theses and Dissertations
Water distribution networks are of critical importance to provide uninterrupted services to a city. Not only do they provide potable drinking water to customers they also are used for fire services and other emergency support functions. By the year 2039, the United States’ drinking water investment gap is estimated to grow to $136 billion dollars. As the gap between available funding and funding required, being able to prioritize assets for investments is critical. Unfortunately, water distribution networks are typically managed reactively rather than proactively. This paper showcases a methodology for a proactive approach to asset management through the use of …
Examining Fuel Service System Failures Of The Usaf R11 Using Survival Analysis,
2023
Air Force Institute of Technology
Examining Fuel Service System Failures Of The Usaf R11 Using Survival Analysis, Roed M.S. Mejia
Theses and Dissertations
Recent events show that fuel supply is a large contributor to the success or failure of a military operation in response to a contingency. Any future near-peer conflict will stress the supply chain and require fully operational vehicles to be ready for the primary mission sets they support. In the United States Air Force (USAF), the readiness of fuel distribution trucks is crucial to meeting those mission sets in global operations. Utilizing non-parametric and semi-parametric survival models, which do not assume specific probability distributions, this study analyzes maintenance data for R-11 trucks that refuel aircraft.
Extraction And Characterization Of Collagen From Cattle Horns For Potential Wound Healing,
2023
Department of Chemistry, College of Natural and Applied Sciences, University of Dar es Salaam
Extraction And Characterization Of Collagen From Cattle Horns For Potential Wound Healing, Yeriko Halson
Tanzania Journal of Engineering and Technology (TJET)
The need for bandages and gauze for wound dressing and healing is inevitable due to the high increase in accidents. Most of the material used for the production of bandages and gauzes for wound healing are from non-renewable synthetic material. The sustainability of non renewable resources is at jeopardy due to the health and associated environmental impact. Consequently, the use of naturally occurring and biodegradable material is a promising solution to the sustainability challenges of synthetic material. In this paper, the extraction of collagen films from cattle horns for potential wound healing is reported. Collagen was extracted from cattle horns …
Comparison Of On-Line Partial Discharge Detection Techniques For High Voltage Power Cable Joints And Terminations,
2023
university of dar es salaam
Comparison Of On-Line Partial Discharge Detection Techniques For High Voltage Power Cable Joints And Terminations, Aviti Thadei Mushi
Tanzania Journal of Engineering and Technology (TJET)
Cable joints and terminations play a vital role in providing dependable electrical connection, mechanical support and physical safeguard. These provide electrical stress control to shielded power cables. Despite their usefulness, they suffer from partial discharges (PD) because of enhanced voltage stress, moisture ingress and poor workmanship (during installation). Therefore, it is necessary to undertake on-line PD detection to determine their state. Some of these techniques are capacitive coupler (CC); acoustic emission (AE); and high frequency current transducer (HFCT). This article presents a literature review of these techniques based on the cost, availability, and applicability. The comparative analysis is also provided …
Development Of An Improved Mathematical Representation Which Captures The Nonlinear Dynamic Behavior Of A Drill-String Assembly,
2023
The University of Texas Rio Grande Valley
Development Of An Improved Mathematical Representation Which Captures The Nonlinear Dynamic Behavior Of A Drill-String Assembly, Eleazar Marquez
Mechanical Engineering Faculty Publications
In this study, an improved mathematical representation of a drill-string assembly is developed to provide an alternative assessment on vibration irregularities proliferating downhole due to bit-rock interference. Lateral vibrations receive particular attention due to their high frequency content which alter the dynamic response of the drill-string, instigate casing damage, and impede optimal penetration rates. The response of the drill-string is captured by synthesizing compatible stationary bit excitations, via an auto-regressive digital filter, and implementing Monte Carlo simulation, while the power spectral density function is approximated to elucidate the dynamic characteristics during drilling. Formulating adequate physical parameters for the equation of …
Freespan Analysis For Subsea Pipeline Integrity Management Strategy,
2023
Universitas Indonesia
Freespan Analysis For Subsea Pipeline Integrity Management Strategy, Nurul Hadi, Muhammad Helmi, Edo Cathaputra, Dedi Priadi, Donanta Dhaneswara
Journal of Materials Exploration and Findings
Abstract. Over a rough seabed or on seabed subject to scour, freespans can occur when contact between a subsea pipeline and the seabed is lost over an acceptable distance. When this exceeds the allowable freespan length, design stresses can be exceeded, and a vortex induced vibration (VIV) response can be initiated, resulting in the risk of fatigue failure. If this is not predicted and controlled properly, it will affect pipeline integrity, leading to expensive rectification and intervention work. Freespan analysis consisted primarily of a screening check in which the as-found freespans from Remotely Operated Vehicle (ROV) or multibeam Side …
Structural Integrity Analysis Of The Rig Mast Following Repair Of Two Diagonal Braces In The Upper Mast Section,
2023
Universitas Indonesia
Structural Integrity Analysis Of The Rig Mast Following Repair Of Two Diagonal Braces In The Upper Mast Section, Rendhatya Padmodwiputra, Johny Wahyuadi Soedarsono, Mirza Mahendra, Bambang Eka Satria, Chandra Arif, Eka Juni Suarthana
Journal of Materials Exploration and Findings
During a move to the new drilling location, two braces of the upper mast section on a 550 HP oil and gas rig was damaged. When damage is discovered, the rig operating company should conduct a risk analysis related to the damage using the standard used to determine rejection criteria and follow-up repairs. The strength of the rig mast is calculated using Finite Element Analysis (FEA) with initial conditions (before damage occurs) where all braces are installed and extreme conditions where neither brace is repaired. The calculation results are then used to assess the risk of reducing the rig mast …
Identifying Hazardous Patterns In Msha Data Using Random Forests,
2023
Marshall University
Identifying Hazardous Patterns In Msha Data Using Random Forests, Olivia Milam
Theses, Dissertations and Capstones
Mining safety and health in the US can be better understood through the application of machine learning techniques to data collected by the Mine Safety and Health Administration (MSHA). By identifying hazardous conditions that could lead to accidents before they occur, valuable insights can be gained by MSHA, mining operators, and miners. In this study, we propose using a Random Forest machine learning model to predict whether a given mining violation will lead to an accident, and if so, whether it will be fatal or non-fatal. To achieve this, the model is trained on MSHA violation data and the sum …
2022-2023 Annual Security And Fire Report - Sayre Campus,
2023
Southwestern Oklahoma State University
2022-2023 Annual Security And Fire Report - Sayre Campus, Southwestern Oklahoma State University
ANNUAL SECURITY & FIRE REPORTS
This is the 2022-2023 Annual Security and Fire Report of the Sayre Campus by Southwestern Oklahoma State University.
2022-2023 Annual Security And Fire Report - Weatherford Campus,
2023
Southwestern Oklahoma State University
2022-2023 Annual Security And Fire Report - Weatherford Campus, Southwestern Oklahoma State University
ANNUAL SECURITY & FIRE REPORTS
This is the 2022-2023 Annual Security and Fire Report of the Weatherford Campus by Southwestern Oklahoma State University.
Influence Of Tidal Current On Heavy Metal Dynamics In The Chao Phraya River Estuary,
2023
Faculty of Science
Influence Of Tidal Current On Heavy Metal Dynamics In The Chao Phraya River Estuary, Kansiri Silrat
Chulalongkorn University Theses and Dissertations (Chula ETD)
The Chao Phraya River estuary, a vital ecological and economic region in Thailand, faces significant contamination challenges due to anthropogenic activities. This study aims to investigate the influence of tidal currents on the dynamics of heavy metals (HMs) in the estuarine ecosystem, focusing on cadmium (Cd), arsenic (As), lead (Pb), copper (Cu), and zinc (Zn). A sampling was conducted over two tidal periods on April 29-30, 2021, including both surface and vertical water samples and surface sediment collected at multiple tidal currents. The results reveal notable variations in HMs concentrations influenced by tidal cycles. For water samples, cadmium concentrations ranged …
