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Articles 1 - 30 of 31
Full-Text Articles in Systems Engineering
Investigating Potential Improvements To Mbse Software To Support Dodaf, Jennifer Marie Kimpson
Investigating Potential Improvements To Mbse Software To Support Dodaf, Jennifer Marie Kimpson
Theses and Dissertations
The integration of models created through model-based systems engineering methods with DoDAF is not a new concept. By creating DoDAF-aligned models, DoD program managers are following DoD guidelines to hopefully achieve more effective communication with stakeholders and improve efficiency of their programs. With the use of MBSE tools to create these models, DoD program managers are able to take further advantage of the benefits of MBSE methods. However, even with the use of MBSE tools, there continue to be issues throughout DoD programs. The literature has shown that a continuous improvement approach regarding the use of MBSE tools with DoDAF …
Task Optimization Utilizing Digital Transformation Concepts - Automation Project Execution Via Agile Methodology, Anthony Steven Maiello
Task Optimization Utilizing Digital Transformation Concepts - Automation Project Execution Via Agile Methodology, Anthony Steven Maiello
Theses and Dissertations
Task Optimization via the use of automated process improvements is becoming more widespread as more industries lean into the concepts surrounding digital transformation. This shift also necessitates a complementary adaptation in project management methodologies to support the rapid and ever-changing environment, requirements, and innovations. This thesis examines the effectiveness of Agile methodology in managing digital automation projects, with a specific focus placed on process improvements with systems engineering. It accomplished this by contrasting the original model, designed and derived utilizing traditional project management techniques, with the proposed model which is a direct result of the application of Agile project practices. …
High-Level Requirements For Conceptual Design Of Bridge Deflection Measurement System Using Model-Based Systems Engineering, Mariana Villalabeitia Arenas
High-Level Requirements For Conceptual Design Of Bridge Deflection Measurement System Using Model-Based Systems Engineering, Mariana Villalabeitia Arenas
Theses and Dissertations
Bridges are essential in the infrastructure transportation system. Repairs and maintenance are the key activities to keep them safe for use. Over the years, the evolution of technology has been applied to improve the way bridges are designed, built, monitored, inspected, and repaired. Nevertheless, there is still a gap between the research efforts and the application of this knowledge in the practical field of bridge inspections. Model-based Systems Engineering is a formalized methodology in the system design that is centered around the model throughout all the life cycle stages of a system, supporting the requirements, design, analysis, verification, and validation …
Modeling The Impact Of Scheduling Risks On Multi-Team Agile Projects, Bria Marie Booth
Modeling The Impact Of Scheduling Risks On Multi-Team Agile Projects, Bria Marie Booth
Theses and Dissertations
Agile project management allows for a quick response to a changing project environment. This opens possible avenues for new opportunities, but also may expose ongoing projects to previously unknown or unexpected threats. Risks must be continuously monitored as a product is worked on to avoid lost potential. This paper will propose a discrete event simulation model that multi-team projects may use to predict the impact to the project’s schedule. Using discrete event simulation early in the project’s planning cycle offers a greater understanding of the possible or probable impact of risks on the schedule. This would help to prepare project …
Geometric Inference In Machine Learning: Applications Of Fisher Information For Model Selection And Other Statistical Applications, Trevor Herntier
Geometric Inference In Machine Learning: Applications Of Fisher Information For Model Selection And Other Statistical Applications, Trevor Herntier
Theses and Dissertations
We consider the problem of model selection using the Minimum Description Length (MDL) criterion for distributions with parameters on the hypersphere. Model selection algorithms aim to find a compromise between goodness of fit and model complexity. Variables often considered for complexity penalties involve number of parameters, sample size and shape of the parameter space, with the penalty term often referred to as stochastic complexity. Because Laplace approximation techniques yield inaccurate results for curved spaces, existing criteria incorrectly penalize complexity. We demonstrate how the use of a constrained Laplace approximation on the hypersphere yields a novel complexity measure that more accurately …
Causal Modeling Framework For Nuclear Power Plant Licensing Process, Lauren Kimberly Kiser
Causal Modeling Framework For Nuclear Power Plant Licensing Process, Lauren Kimberly Kiser
Theses and Dissertations
Interests in clean energy revived the nuclear power industry. For the first time in decades, innovative technologies and plant designs are being considered by regulatory agencies. This dissertation explores a Bayesian Network and AHP approach to causal modeling of the Combined License review process for new nuclear power plants (NPP). Historically lengthy and expensive, NPP licensing is critical to ensuring safe operation of the plants. With this comes a high standard for applicants to reach that can result in multiple revision cycles and long review times. New plant designs and fluctuating public support lead to a complex and dynamic series …
Development Of Simulation Framework For Impact Analysis Of Launch Delays On Lunar Base Station, Giulio Cristello
Development Of Simulation Framework For Impact Analysis Of Launch Delays On Lunar Base Station, Giulio Cristello
Theses and Dissertations
Humans have not ventured beyond Earth since the days of the Apollo missions. NASA astronauts were the first and last to set foot on the lunar surface, and it is again thanks to NASA that the initiative to go back to the Moon is moving forward. The Artemis missions will land men and women on the lunar surface with the purpose of establishing a long-term presence on the Moon. The current Artemis Plan includes the Artemis Base Camp, a lunar base stationed on the lunar South Pole. The maintenance of the base will require frequent missions to be performed in …
Complexity Analysis And Parallel Implementation Of The Well Optimized Linear Finder (Wolf) Atmospheric Turbulence Compensation (Atc) Algorithm On Gpu Technology With Comparative Analysis Of Traditional Phase Diverse Atc Methods, Yang Xin
Theses and Dissertations
A new high-speed, high-accuracy general transfer function estimation method for diversitybased problems, known as the Well Optimized Linear Finder Algorithm (WOLF Algorithm), has been developed [1]. Compared to the traditional phase diversity ATC methods, the WOLF Algorithm has less computational complexity and better approximation of the Optical Transfer Function (OTF) and consequently the entrance pupil phases. We compare the time complexity between the traditional Phase Diversity atmospheric turbulence compensation approach and the WOLF Algorithm. The results show that the WOLF Algorithm is dramatically faster than traditional phase diversity methods theoretically. We also implement the time complexity results of the WOLF …
Computational Speed Improvement Of The Well Optimized Linear Finder (Wolf) Transfer Function Estimation Methodology For Phase-Diverse Atmospheric Turbulence Compensation (Atc) Applications Using Pre-Calculated, Parallel Complex Exponential Phase Difference Chains, Erlin He
Theses and Dissertations
The Well-Optimized Linear Finder (WOLF) high-speed, phase-dominant, transfer function estimation method was developed by Professor William W. Arrasmith at Florida Institute of Technology. The novel, high-speed, transfer function estimation method is robust and can be applied to atmospheric turbulence compensation (ATC)/blind deconvolution optical imaging problems. The WOLF methodology uses a diversitybased approach with an adapted error metric to quickly remove effects of atmospheric turbulence and system noise effects present in an incoherent, optical imaging system. In this research, we improve performance of the WOLF algorithm by investigating the impact of applying parallel processing technology to pre-calculate an expanding set of …
Model-Based Operational Performance Evaluation Of Augmented Reality Applications In Supported Employment Training, Ruo Lun Pan
Model-Based Operational Performance Evaluation Of Augmented Reality Applications In Supported Employment Training, Ruo Lun Pan
Theses and Dissertations
Supported employment is a service provided by social enterprises to help persons with disabilities (PWD) to assimilate into their work environment and maintain their jobs for as long as possible. Social enterprises that provide such services are able to receive incentives from the government but they still rely on a limited funding. Augmented reality (AR) has been tested in various fields such as remote support and training employees, including PWDs. This thesis aims to evaluate the operational performance of augmented reality in supported employment using a model-based systems engineering approach paired with a simulation model. The simulation model evaluates three …
Applications In Multi-Band Isolation Of Spectra With Data-Adaptive Sub-Banding (Midas): Using Multi-Criteria Decision Analysis To Optimize Midas-Based De-Noising Methods When Processing Infrasound And Other Signals Of Interest, Everett Raymond Coots
Theses and Dissertations
The ever-present challenge faced by the signal processing analyst is to get more from the available data, whether it be exploiting the same data in new ways to garner new information, or simply to increase the confidence in existing qualitative metrics. Traditional techniques include filtering (to improve the signal to noise ratio of detected signals or images or to isolate and possibly remove interfering signals), feature detection/extraction (identifying key characteristics within the signal) and signal decomposition (identification of dominant signals of interest relative to noise terms). Current research by our team began with an emphasis on the filtering of signals …
A Joint Soft Warping And Clustering Approach To Detecting Time Series Anomalies, Christopher John Schuchmann
A Joint Soft Warping And Clustering Approach To Detecting Time Series Anomalies, Christopher John Schuchmann
Theses and Dissertations
Unsupervised anomalous time series detection methods focus on identifying outliers without prior knowledge of the dataset. However, these methods often require multiple parameters to be optimized, with adequate performance tied to their careful tuning and prior domain knowledge. In this work, two methods are proposed for detecting outlier time series that adopt a joint clustering and alignment optimization to filter out the desired signals. The time series are globally clustered while simultaneously being aligned to other signals in their same cluster group. This alternating optimization employs time-warping similarity measures to help identify closely matching time series as well as the …
A Parametric Evaluation Of Iot Applications To Freight Transportation Using Model-Based Systems Engineering, Paul George Crawford
A Parametric Evaluation Of Iot Applications To Freight Transportation Using Model-Based Systems Engineering, Paul George Crawford
Theses and Dissertations
Industrial Internet of Things or IIoT consists of computing and communication at the operational edge of a value chain. Applications span manufacturing, energy, and transportation, among others. In the transportation context, IIoT translates to connected vehicle architecture and ITS applications. Current trends in communication allow more applications and devices to contribute to functions traditionally allocated to transportation ITS infrastructure. This poses challenges to design engineers to prototype emerging technologies in the existing transportation context and reduce integration, validation, and time to market. Model-based systems engineering is crucial step for IIoT deployment since it allows for a feature-rich digital representation of …
Development Of A Deformation-Based Structural Health System With Contactless Sensors And Machine Learning For Health Characterization And Failure Prediction, Juan Camilo Avendano Arbelaez
Development Of A Deformation-Based Structural Health System With Contactless Sensors And Machine Learning For Health Characterization And Failure Prediction, Juan Camilo Avendano Arbelaez
Theses and Dissertations
This dissertation presents the design and development of a structural health monitoring (SHM) system specifically tailored for transportation infrastructure components, such as bridges. The proposed system collects data by using contactless sensors and performs health characterization and failure prediction. It is capable of simulating multiple load conditions on structures, identifying possible failure points, and detecting and predicting failure scenarios. Both hardware and software implementations of a model of a bridge were performed as a pilot project in order to validate the proposed system. Computer simulation in ANSYS and the application of gradient boosting neural networks were performed to produce a …
Application Of Classification In Machine Learning: An Analysis Of Highway-Rail Grade Crossing Systems Safety, Christopher John Helmer Cox
Application Of Classification In Machine Learning: An Analysis Of Highway-Rail Grade Crossing Systems Safety, Christopher John Helmer Cox
Theses and Dissertations
Highway-rail grade crossing accidents are the second leading cause of fatalities within the railway transportation industry. Highway-rail grade crossing fatality statistics have failed to improve over the last decade, and in some years have increased. Because of these trends, research has found that considerable Federal funding initiatives exist to support and develop contemporary risk reduction methodologies involving machine learning and artificial intelligence. In accord with these initiatives, this thesis investigates the highway-rail grade crossing safety problem using machine learning to implement an ensemble decision tree-based classification application. The resulting classifier has been validated to achieve a less than three percent …
A Systematic Approach For Automatically Answering General-Purpose Objective And Subjective Questions, Lok Prasad Acharya
A Systematic Approach For Automatically Answering General-Purpose Objective And Subjective Questions, Lok Prasad Acharya
Theses and Dissertations
In this era of information explosion, people generally rely on the Internet, and more precisely, the search engines to get answers to their questions. However, what a search engine can do is just retrieve documents. Given some keywords, it only returns the relevant ranked documents that contain the keywords. Although users often want a precise answer to a question, they are left to extract answers from the documents themselves. This is where Automatic Question Answering (AQA) systems come into play. An AQA system takes questions in natural language as input and searches related answers in the set of documents and …
Effects Of Resampled Data On Time Series Forecasting Accuracy, Jennifer Garland
Effects Of Resampled Data On Time Series Forecasting Accuracy, Jennifer Garland
Theses and Dissertations
This thesis will look at time series forecasting of the air pollutants in Beijing, China and the power consumption of an individual household located in Sceaux, France. The forecast will be taken from two classical methods, the Holt-Winters’ methods and the Seasonal Autoregressive Integrated Moving Average (SARIMA) method. The Holt-Winters’ method will be looked at from the additive, multiplicative and damped methods. The SARIMA model will be looked at as a uni-variate model. In this thesis, it will be shown that less complex algorithms, such as the Holt-Winters’ methods can process larger data sets without the need of resampling, and …
Improving Grapheme-To-Phoneme Translation With The Use Of Nalu Attention Mechanisms, Brian Sheldon Smith
Improving Grapheme-To-Phoneme Translation With The Use Of Nalu Attention Mechanisms, Brian Sheldon Smith
Theses and Dissertations
In recent years, Natural Language Processing in the field of machine learning has seen some major improvements. Data scientists have shown that neural networks are capable of breaking down semantics of sentences, translating languages, and answering complex questions with fast recall. While impressive, these feats all hinge on having access to a massive amount of clean text, or data sets with almost perfect grammar and spelling. Without this, neural networks will usually fail to converge on a meaningful result. To partially this dependency, Grapheme-to-Phoneme conversion can be employed. This is the conversion of words from their spellings to a form …
Deep Learning Models For Visibility Forecasting, Luz Carolina Ortega Gomez
Deep Learning Models For Visibility Forecasting, Luz Carolina Ortega Gomez
Theses and Dissertations
This dissertation addresses the task of visibility forecasting via deep learning models using data from weather stations. Visibility is one of the most critical weather impacts on transportation systems. Low visibility conditions can seriously impact safety and traffic operations, leading to adverse scenarios, causing accidents, and jeopardizing transportation systems. Accurate visibility forecasting plays a key role in decision-making and management of transportation systems. However, due to the complexity and variability of weather variables, visibility forecasting remains a highly challenging task and a matter of significant interest for transportation agencies nationwide. This dissertation explores the use of deep learning models for …
Analysis Of Pile Driving Monitoring Equipment, Robert Joseph Rogulski Iii
Analysis Of Pile Driving Monitoring Equipment, Robert Joseph Rogulski Iii
Theses and Dissertations
Rebound is a problem affecting pile driving in Florida. Significant rebound can require excessive blows for a pile to reach bearing capacity and may damage the pile. In order to study rebound, precise instrumentation is required. For that reason, the objective of this thesis is to evaluate the Inopile’s Pile Driving Monitor (PDM) as a tool for measuring the rebound of large diameter pre-stressed concrete piles driven with open ended diesel hammers. Six sites from Florida were selected for testing. Five of the sites had pile driving and two of them had standard penetration testing (which was used as an …
Application Of The Gradient Projection Method To An Optimal Control Problem In Quantum Biology, Rashad Abdulla
Application Of The Gradient Projection Method To An Optimal Control Problem In Quantum Biology, Rashad Abdulla
Theses and Dissertations
Quantum biology is an emerging field which seeks to understand and analyze the effects of quantum mechanical phenomena on biological systems. One such phenomenon is the formation of radical pairs, compounds which exist in a quantum superposition of two states until they collapse into one or the other. The probability of the collapse into a preferred state can be calculated from the Schrödinger equation, and is in fact dependent on external magnetic fields. This project utilizes principles of mathematical optimal control and quantum biology to determine the precise sequence of magnetic field pulses that maximize the probability of achieving the …
Discrete Event Simulation And Cost Model For Optimization Of Manufacturing Resource Usages Associated With Implementation Of A Redesigned Product, Alexander Eierle
Discrete Event Simulation And Cost Model For Optimization Of Manufacturing Resource Usages Associated With Implementation Of A Redesigned Product, Alexander Eierle
Theses and Dissertations
This paper demonstrates an approach to evaluating production factors related to schedule and resources based on changes to the production process. A discrete event simulation model was developed to evaluate different production factors, such as arrival times, number of entities, resource availabilities, and work in process (WIP) times, compared to the total yield at a production facility. This model helped to develop relationships between the required asset resource usages and the overall production resource allocation with the related effects to process wait times and production outputs. A comparative analysis with cost was performed to determine the effect that varied resources …
A Heuristic Method For The Determination Of Assembly Network And Line Design For Discrete Manufacturing Processes, Ismael Hernan Naranjo Velez
A Heuristic Method For The Determination Of Assembly Network And Line Design For Discrete Manufacturing Processes, Ismael Hernan Naranjo Velez
Theses and Dissertations
This paper presents with a proposed alternative precedence algorithm which is determined by the Solid surfaces of the product design. The representation address in this paper address the manufacturing planning from all manufacturing levels of the product. Sequence is introduce to this paper in order to proof the propose precedence network alternatives. Both manufacturing level solutions are heuristic. This thesis explores the connection of the precedence and the sequence, as it introduces physical manufacturing constraints and its relationships to the station process planning. Precedence network are usually determine by the designer principal point and assembled connections. The proposed algorithm avoids …
Model Based Systems Engineering High Level Design Of A Sustainable Electric Vehicle Charging And Swapping Station Using Discrete Event Simulation, Obinna Henry Ginigeme
Model Based Systems Engineering High Level Design Of A Sustainable Electric Vehicle Charging And Swapping Station Using Discrete Event Simulation, Obinna Henry Ginigeme
Theses and Dissertations
In line with the spate of technological advances, the transportation industry has also witnessed an increase in the adoption of Electric Vehicles (E.Vs). However, there has been and are still some underlying negating factors to the wide spread acceptance of these electric vehicles; one of note is the unavailability and inaccessibility of adequate charging infrastructure, long charging times, limited driving ranges, costs of the vehicles etc. These and many more characteristics lead to a trend popularly known as “range anxiety”. One of the major strengths of electric vehicles are their ability to be powered by electric energy via stored chemical …
Geometry Driven Probabilistic Models For Shape Matching, Classification And Retrieval, Mark Matthew Moyou
Geometry Driven Probabilistic Models For Shape Matching, Classification And Retrieval, Mark Matthew Moyou
Theses and Dissertations
Emulating human vision in a computational framework—known as computer vision—is one of the next major research areas being pursued; this emulation of vision can be viewed from a Systems Engineering perspective. The goal would be to design and develop an Intelligent Vision System built on a framework that could be tailored for specific vision applications. One of the fundamental components of vision is shape, so to design effective vision systems one needs to incorporate shape based algorithms as a core component. This dissertation progresses three facets of shape analysis algorithms: classification, retrieval and registration. Through the use of probabilistic models …
Concept Of Operations And High Level Requirements Framework For The Development Of A Computational Tool For Bridge Deterioration Analysis, Gabrielle Sue Leesman
Concept Of Operations And High Level Requirements Framework For The Development Of A Computational Tool For Bridge Deterioration Analysis, Gabrielle Sue Leesman
Theses and Dissertations
In developing the lifecycles of a system, maintenance and support must be considered. Associated with this portion of the life cycle are periods between needs of maintenance and the cost of each type of maintenance. Previously a few state deterioration models have been created separately to better predict these maintenance cycles for varying ages, materials, traffic flow, and environmental conditions in the deck, substructure, and superstructure of bridges. A particular analysis tool from previous studies involves the development of Markov Chain (MC) models. This paper presents a systematic process to develop MC bridge deterioration models for state/federal transportation agencies. A …
Application-Driven Traffic Sensor System Acceptance Tests For Intelligent Transportation Systems, Thiago Goncalves Pereira Mendonca
Application-Driven Traffic Sensor System Acceptance Tests For Intelligent Transportation Systems, Thiago Goncalves Pereira Mendonca
Theses and Dissertations
Transportation agencies strive to keep people and goods moving. Operation and maintenance of transportation infrastructure is key to accomplish their objectives. Intelligent Transportation Systems (ITS) applications rely on massive detection grids that collectively demand significant maintenance resources. Resource constraints force transportation agencies to look for innovative ways to optimize their operational and maintenance costs while serving their users at intended performance levels. This paper presents a Systems Engineering (SE) view to derive traffic detection sensor requirements for components and subsystems based on application-specific needs. The goal of the approach is to obtain stakeholders view of an acceptable performance based on …
Time Series Classification Using Covariance Descriptors, Oluwaseun Winsala
Time Series Classification Using Covariance Descriptors, Oluwaseun Winsala
Theses and Dissertations
This thesis presents a novel framework for time series classification that leverages the geometric structure of covariance matrices when labeling signals. Our method maps each signal to a new multivariate localized feature signal (MLFS) representation, from which we compute a covariance descriptor. This robust MLFS covarieance representation handles classification tasks where the sampling rates of the signals vary within a class or classes. We demonstrate that by simply using the k-nearest neighbor classification rule and multiclass kernel support vector machine with the Riemannian metric between the MLFS convariance matrices, which produces state-of-the-art results on a number of standard datasets. Moreover, …
A Systems Engineering Approach For Plant Layout Management & Optimization, Abdulelah Saeed Algarni
A Systems Engineering Approach For Plant Layout Management & Optimization, Abdulelah Saeed Algarni
Theses and Dissertations
The basis of this paper was to investigate the system engineering applications on petro-chemical facilities layout designs. This work aims to facilitate and introduce the application of Facility Layout Problems to industrial case studies based on system engineering methodologies and performance measurements. Additionally, an effort was made to present a state-of-the-art literature review of industrial layout problems that exhibits scarcity of system engineering role in the design and implementations of industrial Facility Layout Problems. Facility Layout is one of the demanding large-scale optimization problems. Upon the completion of this report, we found a great sense of vitality of system engineering …
Value Based Methodology To Evaluate Sensors For Bridge Structural Health Monitoring Systems, Jefferson Santos De Oliveira
Value Based Methodology To Evaluate Sensors For Bridge Structural Health Monitoring Systems, Jefferson Santos De Oliveira
Theses and Dissertations
Structural health monitoring (SHM) systems have become important tools in the transportation industry to help monitor the behavior and health of civil structures. Today, there is a real concern about the health of bridges because these structures are aging, and various failure events have contributed to increase that concern. Consequently, the topic of improving the effectiveness and appropriate use of SHM systems have become the focus of various government agencies and researchers, both in industry and academia. In this context, this thesis work was developed to understand the general components of bridge SHM systems, and present a methodology to help …