Application Of Analogical Reasoning For Use In Visual Knowledge Extraction,
2021
Wright State University
Application Of Analogical Reasoning For Use In Visual Knowledge Extraction, Kara Lian Combs
Browse all Theses and Dissertations
There is a continual push to make Artificial Intelligence (AI) as human-like as possible; however, this is a difficult task because of its inability to learn beyond its current comprehension. Analogical reasoning (AR) has been proposed as one method to achieve this goal. Current literature lacks a technical comparison on psychologically-inspired and natural-language-processing-produced AR algorithms with consistent metrics on multiple-choice word-based analogy problems. Assessment is based on “correctness” and “goodness” metrics. There is not a one-size-fits-all algorithm for all textual problems. As contribution in visual AR, a convolutional neural network (CNN) is integrated with the AR vector space model, Global …
Intelligent Healthcare Process Discovery And Operational Coordination Using Discrete Event Simulation And Machine Learning,
2021
Wayne State University
Intelligent Healthcare Process Discovery And Operational Coordination Using Discrete Event Simulation And Machine Learning, Suleyman Yildirim
Wayne State University Dissertations
The healthcare system in the US is rapidly changing and reshaping to adopt continuously evolving demand for improved operational efficiency and treatment effectiveness from patients and providers in critical health services. Healthcare service systems and clinical treatment operations need to be more predictable to increase operational efficiency through proactive operations management. This research contributes to the literature by discovering clinical processes and calibrating discrete-event simulation models in healthcare service systems using data-driven and process-driven predictive models. Unlike the data-driven predictive approaches such as machine learning and statistical methods, the proposed methodologies in this thesis leverages and focuses on process-based methods …
Medical Surge Capability: Performance Modeling Of Hospital Emergency Departments,
2021
Wayne State University
Medical Surge Capability: Performance Modeling Of Hospital Emergency Departments, Egbe-Etu Emmanuel Etu
Wayne State University Dissertations
Hospitals are faced with significant challenges during and after natural or human-caused disasters. Surge planning is a critical component of every healthcare facility’s emergency plan and response system. The process of managing and allocating scarce resources by tackling the vulnerability inherent to patients means that defining improvement priorities is one of the main challenges healthcare systems face when responding to a medical surge event (e.g., COVID-19). The consequences of these challenges include increased patient mortality, ambulance diversion, long wait times, and unavailability of beds. Previous efforts in hospital operations management have successfully applied operations research techniques in analyzing and optimizing …
A Multi-Agent Semi-Cooperative Unmanned Air Traffic Management Model With Separation Assurance,
2021
Wayne State University
A Multi-Agent Semi-Cooperative Unmanned Air Traffic Management Model With Separation Assurance, Yanchao Liu
Industrial and Systems Engineering Faculty Research Publications
This paper presents an air traffic management framework to enable multiple fleets of unmanned aerial vehicles to traverse dense, omni-directional air traffic safely and efficiently. The main challenge addressed here is separation assurance in the absence of full coordination and communication. In this framework, each fleet is independently managed by a routing agent, which progressively plans the non-overlapping move-ahead corridors for vehicles in the fleet by solving a nonlinear optimization model. The model is artfully designed so that agents of different fleets need not engage in complicated multilateral communications or make guesses about external vehicles’ flight intents to maintain effective …
Application Of Analogical Reasoning For Use In Visual Knowledge Extraction,
2021
Wright State University
Application Of Analogical Reasoning For Use In Visual Knowledge Extraction, Kara Lian Combs
Browse all Theses and Dissertations
There is a continual push to make Artificial Intelligence (AI) as human-like as possible; however, this is a difficult task because of its inability to learn beyond its current comprehension. Analogical reasoning (AR) has been proposed as one method to achieve this goal. Current literature lacks a technical comparison on psychologically-inspired and natural-language-processing-produced AR algorithms with consistent metrics on multiple-choice word-based analogy problems. Assessment is based on “correctness” and “goodness” metrics. There is not a one-size-fits-all algorithm for all textual problems. As contribution in visual AR, a convolutional neural network (CNN) is integrated with the AR vector space model, Global …
Identifying Sources Of Covid19 Pandemic Supply Chain Fragility,
2021
SUNY Korea
Identifying Sources Of Covid19 Pandemic Supply Chain Fragility, Clovia Hamilton
Technology & Society Faculty Publications
Supply chain management is in the industrial engineering management and operations management disciplines. It involves product procurement of raw materials, production, storage, distribution, wholesales, and retail sales. The COVID19 pandemic has the added challenge of healthcare service operations management. This paper is a bibliometric study of the COVID19 supply chain fragility problem. In February 2021, the United States’ President called for a review of the pandemic related supply chain for vaccines, personal protective equipment (PPE), medical equipment such as ventilators, and food. This study involves a search for references published between January 1, 2020 and April 30, 2021. It reveals …
Computational Modeling For Decision-Making Under Climate Change Uncertainty: Reservoir Simulation Game,
2021
Utah State University
Computational Modeling For Decision-Making Under Climate Change Uncertainty: Reservoir Simulation Game, Julianne Quinn
All ECSTATIC Materials
Almost every decision you make is under uncertainty. Will I need a rain jacket in the afternoon? Will they say yes if I ask them out? Is 1 hour enough time to finish this assignment? Oftentimes, we can use computational modeling to simulate different scenarios of what might happen in the future to inform what decisions are best on average, or what decisions minimize the worst case outcome. For example, you could decide what player to draft for your Fantasy Football team by simulating player performance. In this activity, we will simulate how much water to release from a dam …
Methods To Integrate Domain Expert User Knowledge Into Process Discovery,
2021
Wayne State University
Methods To Integrate Domain Expert User Knowledge Into Process Discovery, Jasim Alnahas
Wayne State University Dissertations
Process Mining (PM) is a new era in business development management that reinforces business process sustainability. Process Mining uses various techniques to discover the process model and identify the root cause analysis of process delays based on the event log. There are three main types of process models: procedural models, declarative models, and hybrid models. Procedural models tend to discover the main pattern of the activity flows in the process. In contrast, declarative models analyze the process behavior and express this behavior as a compact set of rules between pair of two activities. Hybrid models are a combination of procedural …
Dynamic Analysis Of The Implementation Of The Blockchain Technology In The Supply Chain,
2021
University of Central Florida
Dynamic Analysis Of The Implementation Of The Blockchain Technology In The Supply Chain, Rehab Ali
Electronic Theses and Dissertations, 2020-2023
Blockchain technology is a new digital technology that has been disrupting the way businesses are performing. It is a decentralized and distributed ledger that enables transactions of any form of value. As blockchain technology provides visibility, transparency, and security through the multi-agent system, the supply chain sector is one of its critical and promising applications. In a highly dynamic environment, the supply chain's efficiency needs to be measured from a blockchain perspective. As the main benefit of blockchain technology is the visibility and real-time access to data, blockchain technology's preeminent affected areas within the supply chain are the responsiveness to …
Integrated Optimization And Learning Methods Of Predictive And Prescriptive Analytics,
2021
Wayne State University
Integrated Optimization And Learning Methods Of Predictive And Prescriptive Analytics, Mehmet Kolcu
Wayne State University Dissertations
A typical decision problem optimizes one or more objectives subject to a set of constraints on its decision variables. Most real-world decision problems contain uncertain parameters. The exponential growth of data availability, ease of accessibility in computational power, and more efficient optimization techniques have paved the way for machine learning tools to effectively predict these uncertain parameters. Traditional machine learning models measure the quality of predictions based on the closeness between true and predicted values and ignore decision problems involving uncertain parameters for which predicted values are treated as the true values.Standard approaches passing point estimates of machine learning models …
Predicting The Geometrical Disassembly Feasibility Of Mechanical Assemblies In Design Phase,
2021
Wayne State University
Predicting The Geometrical Disassembly Feasibility Of Mechanical Assemblies In Design Phase, Header Alrufaifi
Wayne State University Dissertations
Disassembly of products has gained more and more attention due to the economic, environmental, and social benefits and the contribution to the protection of natural resources [1]. Where, disassembly is the first and usually the most critical and challenging process in most recovery processes (i.e. remanufacturing, reuse, maintenance, and recycling processes) which are essential reverse flows in circular economy systems. As policies, regulations, products, and systems move towards and strive for a circular economy, it is increasingly vital that disassembly analysis, models, and methods are feasible during development and manufacturing life-cycle stages. However, checking disassembly feasibility is considered a critical …
Opioid Medication Use And Education Following Sports Medicine Procedures: An Evidence-To-Practice Review,
2021
University of South Carolina, Columbia, SC
Opioid Medication Use And Education Following Sports Medicine Procedures: An Evidence-To-Practice Review, Caitlin S. O’Mara, Michael G. Ward, Zachary K. Winkelmann
Clinical Practice in Athletic Training
According to the Centers for Disease Control (CDC), illicit and prescription drug overdoses are responsible for 128 deaths every day in the United States. In 2018, 70% of all overdose related deaths involved opioids. Efforts to minimize the opioid epidemic focus on community education, research, partnership, and healthcare support. Under the CDC guidelines, current practices include monitoring trends of drug use and drug related deaths, conducting research to recognize areas in need of improvement and to analyze effectiveness of current treatments, partner with community organizations and healthcare systems that deal firsthand with opioid users, and educate the public on drug …
Establishing Links Between Safety Culture, Climate, Behaviors, And Outcomes Of Long-Haul Truck Drivers,
2021
Missouri University of Science and Technology
Establishing Links Between Safety Culture, Climate, Behaviors, And Outcomes Of Long-Haul Truck Drivers, Carlton Washburn
Doctoral Dissertations
“This research examines the safety relationships between safety culture, safety influences, safety climate, and safety outcomes for long-haul truck drivers. The relationships focus on the intersection of the electronic logging device (ELD) technology, regulations, and truck drivers that fall into the lone-worker category. Truck drivers were interviewed to understand their beliefs, attitudes, practices, values, and behavior patterns aligned with the phase in of the ELD system. Large truck crashes during the same time period were analyzed to understand associations. Outcomes included both a safety culture and climate were established for long-haul truck drivers. Both positive and negative safety behaviors were …
Factors That Affect The Successful Implementation Of Quality Management Systems In Healthcare,
2021
University of Central Florida
Factors That Affect The Successful Implementation Of Quality Management Systems In Healthcare, Mustafa Rawshdeh
Electronic Theses and Dissertations, 2020-2023
Modern Organizations must be high performing to sustain and grow their operations. This is particularly true for healthcare organizations as they have complex and sensitive operations. One way to improve organizational performance is to adopt Quality Management Systems (QMSs). QMSs organize and improve the effectiveness of all processes to meet stakeholder requirements and achieve organizational performance improvements in alignment with strategic goals. However, the value of QMSs is dependent on successful implementation, which is reportedly quite challenging. This doctoral research examines the factors that affect the successful implementation of QMSs in healthcare. First, a systematic analysis of the published literature …
A Framework For Mitigating Obsolescence In Military Based Systems,
2021
University of Central Florida
A Framework For Mitigating Obsolescence In Military Based Systems, Ryan Rust
Electronic Theses and Dissertations, 2020-2023
Obsolescence is an unavoidable reality in manufacturing systems and supply chain environments as systems are needed to be sustained for longer and longer periods of time. These extended life cycle products include airplanes, ships, industrial equipment, medical equipment, and military systems. The United States military has coined this issue as Diminishing Manufacturing Sources and Material Shortages (DMSMS). Research shows that the main areas of concern for obsolescence are cost optimization, obsolescence management, system life cycle, design/system refresh planning, architecture/open systems, and end-of-life (EOL) predictions. This effort suggests a need for a more effective management approach to tackling obsolescence with an …
Eeg-Based Signatures Of Isometric Arm Forces By Females At Different Levels Of Physical Exertion And Comfort,
2021
University of Central Florida
Eeg-Based Signatures Of Isometric Arm Forces By Females At Different Levels Of Physical Exertion And Comfort, Mahjabeen Rahman
Electronic Theses and Dissertations, 2020-2023
In recent years, electroencephalography (EEG) has become a valuable technique for ergonomics studies of physical activities and other real-life tasks. Since the perception of force exertion is influenced by various psychophysical, cognitive, and social factors, different subjective measures have been traditionally used to measure the perception of physical exertion and related body discomfort. Along with the subjective measures, research showed that neural signals are also necessary objective measures to understanding human perception of physical tasks. However, EEG signatures of different physical exertion levels and perceived physical comfort have not been explored. The main objective of this study was to investigate …
Investigating The Interaction Effects Of Green Product Development And Countries Green Growth Performance: Economic Complexity Perspective,
2021
University of Central Florida
Investigating The Interaction Effects Of Green Product Development And Countries Green Growth Performance: Economic Complexity Perspective, Seyyedmilad Talebzadehhosseini
Electronic Theses and Dissertations, 2020-2023
For many years, natural resources have been used as the main input of production process in countries around the world, which has caused many problems to our planet such as rapid climate change, loss of biodiversity, drastic environmental events, and social problems. In recent years, pressure on countries to transition to cleaner production processes to mitigate problems arising from using natural resources has increased. As a result, green products have become a point of interest due to their low environmental impact, and green product development has become an important part of green growth policies for many countries. Green product development …
An Improvement Of Data Analytics Detection Rules In The Internal Audit Of The Procurement And Inventory Processes,
2021
Faculty of Engineering
An Improvement Of Data Analytics Detection Rules In The Internal Audit Of The Procurement And Inventory Processes, Penpak Rangsipunyaporn
Chulalongkorn University Theses and Dissertations (Chula ETD)
Data analytics is a powerful tool to deliver value-added internal audit results as it reduces execution time and increases efficiency, effectiveness, and assurance level compared with the audit sampling approach. Because detection rules are criteria applied in the data analytics method to discover anomalies in the business transactions. Therefore, this project aims to improve the anomaly detection rules in the procure-to-pay and inbound inventory processes for an audit firm based in Thailand to provide internal audit services for clients in the manufacturing business. The sub-processes cover (1) process governance, (2) vendor selection, evaluation, and master data maintenance, (3) ordering, (4) …
Total Quality And Innovation Management In Hospital,
2021
Faculty of Engineering
Total Quality And Innovation Management In Hospital, Suebsakul Tonjang
Chulalongkorn University Theses and Dissertations (Chula ETD)
Previously, quality of care and customers' satisfaction in healthcare services is fulfilled only through total quality management (TQM) which as a core management philosophy, as adopted by many healthcare organizations. Nevertheless, TQM focuses on incremental improvement may prove insufficient to address the new technology and innovation-driven organization with a faster pace. Therefore, this research aimed to integrate quality and innovation management in healthcare affecting healthcare performance. To propose the key factor of both TQM and innovation management in healthcare, we conducted a systematic literature review. Then, TQM and innovation management factors were combined and integrated with ISO 56002 as to …
The Impact Of Unequal Processing Time Variability On Reliable And Unreliable Merging Line Performance,
2021
Old Dominion University
The Impact Of Unequal Processing Time Variability On Reliable And Unreliable Merging Line Performance, Rodrigo Romero-Silva, Sabry Shaaban, Erika Marsillac, Zouhair Laaarraf
Information Technology & Decision Sciences Faculty Publications
Research on merging lines is expanding as their use grows significantly in the contexts of remanufacturing, reverse logistics and developing economies. This article is the first to study the behavior of unpaced, reliable, and unreliable merging assembly lines that are deliberately unbalanced with respect to their coefficients of variation (CV). Conducting a series of simulation runs with varying line lengths, buffer storage capacities and unbalanced CV patterns delivers intriguing results. For both reliable and unreliable lines, the best pattern for generating higher throughput is found to be a balanced configuration (equal CVs along both parallel lines), except for unreliable lines …
