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Dynamic Magnetic Field Adaptation for Spacecraft Radiation Shielding
This research involved investigating the deflection efficiency of Rotating Toroidal-Induced Dipole Field Systems for spacecraft radiation shielding, with a specific comparison to static magnetic fields. Numerical simulations model the trajectories of electrons, protons, and high-energy cosmic rays as they interact with a three-coil toroidal system, featuring an induced-dipole component that enhances dynamic shielding. Unlike static…
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Comprehensive Thermal Engine Modeling for Techno-Economic Aircraft Hybrid Electric Evaluation
Proper techno-economic evaluation of hybrid electric powertrain commercial aircraft necessitates a holistic thermal engine model that captures the various behaviors contributing to the output of the overall study. This model needs to encompass not just the typical size, weight, and power characteristics, but also critical factors such as cost and reliability. This paper provides an…
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Digital Twin Framework for Lifetime Predictions of Li-ion Batteries
Predicting battery lifetime is essential to ensure the reliability and economic viability of grid-scale energy-storage systems. Traditional accelerated testing methods offer only partial insight into battery degradation, especially when applied at the cell or module level, where they often ignore key system-level interactions. This paper presents an early-stage digital-twin framework developed as part of the…
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Analysis of Systemic Failures in Application of Failure Modes and Effects Analysis in V-Model Based Complex Design
Originating more than 70 years ago within the US Department of Defense, Failure Modes and Effects Analysis (FMEA) has become one of the most ubiquitous design risk assessment tools in use today. For many, FMEA has outstripped fault tree and other forms of design failure analysis as the primary tool. FMEA has become a standard…
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A Comparison of Requirements Management in Agile vs. Predictive Projects
Agile and Predictive-style approaches each have their own pros and cons, managing project requirements in different, often conflicting ways. Applying these styles independently to critical software systems can result in adverse effects. Agile-style requirements management, typically documented in Connextra-style User Stories, offers customers and stakeholders the flexibility to adapt requirements as projects evolve. The highly…
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Developing an Organizational Health Assessment Framework: Insights from Mental Health Screening Tools
We propose an Organizational Health Assessment (OHA) framework inspired by brief mental health screening tools like the Patient HealthQuestionnaire-9 (PHQ-9) and Generalized AnxietyDisorder-7 (GAD-7). By conceptualizing organizations as complex adaptive systems, the OHA draws parallels between individual mental health and organizational functioning. We outline the framework’s theoretical foundations, components, and practical implications for research and…
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Systems-Theoretic Process Analysis for Organizational Management
This work is intended to demonstrate how Systems-Theoretic Process Analysis (STPA) can serve as a practical and immediately useful tool for the U.S. Army. Specifically, it is intended to improve outcomes in current and future acquisition programs. To demonstrate its usefulness the Future Combat Systems (FCS) program is examined retrospectively. This work is not intended…
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Artificial Intelligence and Digital Engineering as Enablers for System Engineering in the Energy Sector
Systems engineering is of utmost importance for the success of high-cost, high-complexity megaprojects, which are common in the energy sector. However, the traditional document-centric systems engineering approach tends to be labor-intensive and time-consuming, which has inhibited its full adoption despite proven metrics on its return on investment. With the modern approach of digital engineering and…
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Securing Legacy Transport Protocols: Requirements-Driven Mitigation for Communication Systems
Legacy heavy-duty vehicle protocols such as SAEJ1708 and J1587 remain in operation due to long vehicle lifespans and the high cost of upgrading diagnostic infrastructures. These standards lack authentication, fairness in bus arbitration, and safeguards for session lifecycle management, leaving them susceptible to protocol-level exploitation. While prior research has examined related vulnerabilities in J1939and introduced…
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Reliability to Resiliency: Exploring Interconnected Metrics of System Performance
Reliability and resiliency are often treated as distinct system characteristics. However, this approach reinforces unnecessary tradeoffs between the two. A holistic approach to understanding reliability, and resiliency and their relationship to risk ensures safe system operation as increasing complexity threatens our understanding of system safety. This paper reviews the foundations of risk, reliability, and resiliency…
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A Formal Approach to Support Complex Security Management: Case Study of a Moroccan Hospital
The criticality of security management stems from the complexity of information systems and the high value of assets and services. The diversity in security management solutions makes organizations responsible for choosing an adequate solution and adapting it to their context. However, the complexity makes the implementation process vary further, complicating choices. Moreover, security management solutions…
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Systems Engineering Approach to Mitigate Effects of Atmospheric Turbulence for Terrestrial Horizontal Path Imaging Sensors
A system engineering process is described for the development of a novel approach toward mitigating the image degrading effects of optical turbulence in a horizontal atmospheric path. The work concentrates on the early phases of the system engineering process involving advanced modeling and ray-tracing. The critical output products are a detailed system concept specification and…
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Safeguarding Sensitive Data: Prompt Engineering for GenAI
Generative Artificial Intelligence (GenAI) represents a transformative advancement in technology with capabilities to autonomously generate diverse content, such as text, images, simulations, and beyond. While GenAI offers significant operational benefits it also introduces risks, particularly in mission-critical industries such as national defense and space. The emergence of GenAI is similar to the invention of the…
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Systems Considerations in Designing a Stratospheric Early Warning Airship
Since 1957, the North American Aerospace Defense Command (NORAD) depends upon an array of ground-based radars to detect Russian bombers approaching the North American continent. NORAD’s “North Warning System” consists of long-range remote radar sites positioned along the vast Canadian and Alaskan Arctic frontier. Because radio waves are broadcasted line-of-sight, signals transmitted at low angles…
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Enabling Seamless Operation: Design Challenges
Typically, accidents are commonly attributed to decision errors made by the human operators. The article presents models of normal operation and of operational errors, and a framework for eliminating these errors by integration engineering. These models describe monitor-controller-server interactions in normal and exceptional operation of socio-technical system. The design goal proposed is to eliminate the…
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Accident Case Study Analysis of Developmental Automated Driving System Collison
The aim of the Case study is to produce a list of accident causal factors using the Cybernetic risk management model with the hybrid Swiss Cheese Model (SCM) and Management Oversight & Risk Tree (MORT) Methodology. The hybrid SCM/MORT methodology incorporates Jens Rasmussen’s risk management framework (RMF) and is augmented by including the Heuristics &…
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HSI for Enhancing Manufacturing Resilience: A Simulation-Based Approach
This early-stage research addresses an essential need to deepen our understanding of enhancing manufacturing resilience by focusing on internal factors such as workforce, manufacturing processes, and physical assets. Employing Human-Systems Integration (HSI) principles, the study focuses on the assembly operator within the assembly cell in a real manufacturing process environment. Recognizing insufficiencies in standards concerning…
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The Influence of Human-Systems Integration on the “Fuzzy Front End” of Innovation: A MedTech Case Study
Human-Systems Integration (HSI) can be considered as the combination of Systems Engineering and Human-Centered Design approaches. To support HSI, the system of interest (SoI) and its broader context should be developed with a specific engineering design objective and consider humans part of the system. Using a MedTech industry case study, this paper explores the influence…
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Risk Analysis and Mitigation of Human Interface with Generative Artificial Intelligence Systems to Enable Responsible Development
As Generative Artificial Intelligence (GAI) becomes increasingly prevalent in society, ensuring responsible and ethical development and use is crucial. This study conducts a risk analysis of human interface with GAI Large Language Models (LLM) to identify potential hazards and suggest mitigation strategies for promoting responsible GAI development. This study is component of a larger research…
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Addressing Work Design in Future Operations of Advanced Nuclear Reactors
In this early stage research paper, we outline our approach for a three-year study that aims at examining the potential influence of work design on control room operators’ performance in the context of advanced nuclear reactor operations. The study is inspired by ongoing developments in the nuclear industry towards small modular reactors (SMRs) that are…
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A Planning and Readiness Framework for Organisational Systems Change within Human Systems Integration
Human Systems Integration can be seen as the nexus between the human factors/ergonomics and systems engineering activities undertaken during the development of a system, with the entire systems lifecycle in mind. Human factors/ergonomics has three recognized domains; the physical, cognitive and organizational – whilst the physical domain is stereotypically most associated with the term ergonomics,…
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Exploring A Verification Complexity Framework
While system complexity is considered an integral piece of information throughout the system development life cycle, the complexity of the verification is given comparatively lower focus in the field of systems engineering. There is no domain-wide consensus on the definition of verification complexity, resulting in disputed complexity measures or lack thereof. Verification is a pervasive…
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Human-AI Teaming for Cockpit Assistance
This presentation reports ongoing work in HAIKU project, regarding development of an Human-AI Teaming (HAT) assistant concept for pilot decision support in re-route due to weather threat or need to divert, due to destination airport unavailable. The case is described and current, on-going, methodological exploration avenues reported
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A Survery-Based Framework: Assessing Effectiveness and Efficency in MBSE Deployment & Methodology
The aerospace industry has seen a significant shift towards Model-Based Systems Engineering (MBSE) with increasing complexity of systems, and the need for a sophisticated methodology for modelling them. MBSE and Systems Modeling language (SysML) have also been promising considering these growing challenges, and have shown capability in managing these systems and system life-cycles consistently. The…
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Case for Enabling Blockchain Adoption in Aviation MRO via MBSE-Driven Operational Analysis
The aviation industry struggles with data silos, poor traceability of parts and procedures, and manual compliance efforts resulting in inefficiencies, expensive delays, and regulatory challenges. These challenges heap on in a multi-stakeholder environment involving airlines, lessors, OEMs, MROs and regulators like FAA, EASA or DGCA, where data integrity and auditability need to be flawless. Traditional…
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AI-Assisted Traceability Link Suggestion in MBSE for Medical Devices Using NLP
It is crucial to ensure that each system requirement is accurately linked to its respective test case to maintain the safety, reliability, and regulatory compliance of medical devices. However, the manual mapping of these connections can be laborious, prone to errors, and impractical for large-scale projects. This study presents an AI-assisted framework aimed at optimizing…
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An Integrated Model-Based Safety Analysis of Stall Warning and Protection Systems: FHA, FTA, and STPA in an Aviation Certification Context
MBSE has been proven and is being adopted from concept to certification adhering to the airborne guidelines, RTCA DO-331 and RTCA DO-178C all over world. For critical systems the de-sign assurance level (DAL) becomes important as it dictates the rigor to be followed towards certifi-cation. DAL levels are derived by means of system safety assessment…
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FMEA Representation in MBSE for Aerospace Systems: A Python-Based Extraction Approach
Ensuring safety and reliability in civil aviation systems requires comprehensive analyses such as Failure Modes and Effects Analysis (FMEA). Traditional FMEA methods, often performed in isolation, introduce uncertainties in system functions and architecture. Model-Based Systems Engineering (MBSE) offers a transformative approach by establishing models as the central source of system information throughout the lifecycle, enhancing…
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Towards a SMARTer Requirements: An AI-based Approach for Requirements Quality
It is well recognized that the quality of textual requirements plays a critical role in engineering of complex systems. When textual requirements suffer from issues such as ambiguity, inconsistency, and lack of verifiability, it causes significant issues in the systems engineering lifecycle of complex systems. This paper presents the design, development and fine-tuning of an…
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MBSE-Driven Engineering Excellence: Uniting ASPICE Rigor with MBPLE for Variant Management
Modern automotive development must address the dual complexity of meeting stringent process standards such as ASPICE, while efficiently managing increasing product variability across a wide range of configurations. Traditionally, these two challenges—process compliance and variant engineering—are handled in isolation, resulting in redundant effort and inconsistent traceability across the product lifecycle. This work presents a unified…
