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Articles 1 - 10 of 10
Full-Text Articles in Systems Science
Mbse For Process Analytical Technology- Bwon Analysis Case Study, Arnaldo Garcia Cervantes
Mbse For Process Analytical Technology- Bwon Analysis Case Study, Arnaldo Garcia Cervantes
Open Access Theses & Dissertations
Volatile Organic Compound (VOC) emissions from industrial sources, particularly Benzene, present significant environmental and public health challenges. Regulatory frameworks, such as the U.S. Environmental Protection Agency’s Benzene Waste Operations NESHAP (BWON), mandate strict monitoring of control devices, specifically carbon adsorption canisters, to prevent emission breakthrough. However, current industry practices rely heavily on manual Method 21 testing, a labor-intensive process that creates lagging indicators and increases the risk of non-compliance events. This thesis proposes the design and development of an on-line, automated fugitive emissions monitoring system tailored for carbon canisters using Model-Based Systems Engineering (MBSE). Utilizing the Object-Oriented System Engineering Method …
Evaluating Large Language Models For Requirements Engineering And Verification: A Comparative Analysis Of Gpt-5 And Gemini 3 Pro, Guadalupe Nevarez
Evaluating Large Language Models For Requirements Engineering And Verification: A Comparative Analysis Of Gpt-5 And Gemini 3 Pro, Guadalupe Nevarez
Open Access Theses & Dissertations
Large Language Models (LLMs) are increasingly viewed as viable tools for Systems Engineering, yet empirical data regarding their effectiveness in generating engineering-quality requirements remains limited. This thesis compares the performance of GPT-5 and Gemini 3 Pro in generating system functional requirements for the Miner Guardian Drone, a prototype UAV designed for minefield remediation. Both models were provided with identical prompts and tasked with producing 15 functional requirements. Two independent raters evaluated the outputs using a nine-dimensional quality rubric aligned with IEEE 29148 and INCOSE guidelines to ensure rigorous assessment. The difference between the models was analyzed using descriptive statistics and …
A Digital Engineering Framework For Ai-Driven Trade-Off Evaluation And Predictive Component Classification, Alejandro Silva Au
A Digital Engineering Framework For Ai-Driven Trade-Off Evaluation And Predictive Component Classification, Alejandro Silva Au
Open Access Theses & Dissertations
This thesis introduces a digital engineering tool designed to help engineers make smarter decisions when choosing actuators. At its core, the system brings together machine learning (specifically XGBoost) and a decision-making method called Multi-Utility Attribute Theory (MUAT). The goal is to support engineers in picking components based on what really matters for their designs, whether that's speed, cost, durability, or any other performance factor. What makes this tool stand out is its user-friendly interface that lets people interact with the system directly. It takes a set of actuator performance data, classifies each one into a relevant use category, and then …
Model-Based Systems Engineering For Aerospace Applications: Strategic Requirements Prioritization In Complex Adaptive Systems And Digital Integration, Iqtiar Md Siddique
Model-Based Systems Engineering For Aerospace Applications: Strategic Requirements Prioritization In Complex Adaptive Systems And Digital Integration, Iqtiar Md Siddique
Open Access Theses & Dissertations
Ineffective systems engineering practices continue to jeopardize aerospace missions, resulting in multi-billion-dollar losses, delays, and fragmented development outcomes. As complexity intensifies and timelines shrink, conventional document-based methods increasingly fail to support early validation, cross-domain traceability, and synchronized tool usage. This research presents an integrated approach that addresses three critical gaps: synchronizing executable and traceable MBSE models across structural, behavioral, and requirements domains; applying scalable requirements prioritization techniques tailored for Complex Adaptive Systems; and establishing automated simulation feedback loops through digital toolchain integration. Central to this strategy is the Digital Trinity, which connects system models, simulations, and lifecycle data through a …
Enhancing The Utility Of Unmanned Autonomous Vehicles (Uavs) With Model-Based Systems Engineering (Mbse) And Modular Open Systems Approach (Mosa), Aimee Barraza
Open Access Theses & Dissertations
Unmanned Autonomous Vehicles (UAVs) have emerged as versatile tools with significant implications across various industries, particularly in defense. The technological advancements in UAVs have revolutionized military operations, surveillance, and reconnaissance capabilities. However, there exist challenges such as environmental factors affecting sensor and flight performance, limited battery life restricting flight durations, and payload capacity constraints impeding task efficiency.This paper delves into the importance of UAVs in different industries, specifically focusing on their pivotal role in the Department of Defense. It emphasizes the necessity of technological upgrades to overcome current challenges and proposes the adoption of a Modular and Open System Approach …
Bitcoin's Technical Foundation And Its Potential For A Decentralized And Environmentally Friendly Future, Iqtiar Md Siddique
Bitcoin's Technical Foundation And Its Potential For A Decentralized And Environmentally Friendly Future, Iqtiar Md Siddique
Open Access Theses & Dissertations
This research examines a systematic analysis of Bitcoin, employing a Coefficient of Variation (CV) approach to gauge its degree of decentralization. Bitcoin, an innovative decentralized digital currency, has received much attention for its potential to revolutionize traditional financial systems. This study employs the Coefficient of Variation (CV) to acquire insights into the wealth distribution and concentration among Bitcoin users. This research demonstrates how decentralized the network of Bitcoin is. The methodology uses real data on Bitcoin addresses and their holdings to compute the Coefficient of Variation (CV). This approach provides valuable insights into the ongoing discourse surrounding Bitcoin's decentralization, offering …
Computational Analysis Of Water Braking Phenomena For High-Speed Sled And Its Machine Learning Framework, Jose A. Terrazas
Computational Analysis Of Water Braking Phenomena For High-Speed Sled And Its Machine Learning Framework, Jose A. Terrazas
Open Access Theses & Dissertations
Specializing in high-speed testing, Holloman High-Speed Test Track (HHSTT) uses a process called "water braking" as a method to bring vehicles at the test track to a stop. This method takes advantage of the higher density of water, compared to air, to increase braking capability through momentum exchange. By studying water braking using Computational Fluid Dynamics (CFD), forces acting on track vehicles can be approximated and prepared for prior to the actual test. In this study, focus will be made on the brake component of the track sled that is responsible for interacting with the water for braking. By discretizing …
Systems Thinking As A Method For Leveraging Smart Classrooms, Jazmyne V. Del Hierro
Systems Thinking As A Method For Leveraging Smart Classrooms, Jazmyne V. Del Hierro
Open Access Theses & Dissertations
Digital technologies have revolutionized enterprises across our personal lives, and most major industries. The digital transformation can be considered a strategic response to digital trends (Vial, 2019), encompassing substantial changes in society and industry caused by technology development (Taj, et al., 2010). It is a complex journey that needs to be guided by clear strategy. Digital transformation is more about people, than it is about technology (Frankiewiczz, B., 2020). It requires organizational changes that are backed by leadership and driven by challenges to culture (Abbu, H., 2022). Digital transformation requires leaders to build trust (Mugge, Abbu, and Gudergan 2021; Gudergan …
Diverse Effects Of Ev Charging Infrastructure On Electric Power Distribution Systems, Travis Michael Moore Newbolt
Diverse Effects Of Ev Charging Infrastructure On Electric Power Distribution Systems, Travis Michael Moore Newbolt
Open Access Theses & Dissertations
The advanced technology of today has allowed for an avenue into cleaner forms of energy that will not only protect our environment but also continue to advance our society. Among the many forms of clean energy, electric vehicles (EV) have the potential to mitigate our consumption of fossil fuels in vehicle transportation industries. In the U.S. for 2021, EVs account for approximately 700,000 registrations. That number is projected to increase to 2 million by 2030. Although EVs do reduce the number of emissions when compared to an internal combustion engine, they do however shift the responsibility to utility companies to …
Adaptive Lean Manufacturing Implementation For Organizations With Rapid Leadership Turnover, Brett Babcock
Adaptive Lean Manufacturing Implementation For Organizations With Rapid Leadership Turnover, Brett Babcock
Open Access Theses & Dissertations
Lean Six Sigma seeks to optimize workplace efficiency and is now world renowned as the standard for how to maximize profits, perfect quality control, and emphasize workplace safety. Almost every large scale engineering company has in some shape or form a Lean Six Sigma aimed concept of operations to the point that a subset of the Lean Six Sigma Institute is focused towards compiling packages to assist those companies that have not implemented it to make the transition. These packages while efficient, operate with the understanding that the ideologies they deploy will be implemented from the top down and that …