Developing A Model-Based Approach To Forecast A Competitor's System,
2022
Air Force Institute of Technology
Developing A Model-Based Approach To Forecast A Competitor's System, Christopher A. Del Vecchio
Theses and Dissertations
The purpose of this research is to develop a model-based approach to intelligence forecasting of a competitor’s system. This analysis currently uses a document-based practice to capture all knowledge of the forecast and its development. A framework of antithesis processes, or Anti-Processes, were derived from the systems engineering technical processes. This was then combined with analytical tradecraft from the field of competitive technical intelligence to build a SysML reference model, which was then applied to a small case study to enhance and refine the model. The Anti-Process framework and SysML reference model provide a rigorous, model-based approach to intelligence forecasts …
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,
2022
Florida Institute of Technology
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 …
Affordable Autonomous Vehicles For Deployment After Disastrous Events,
2022
University of Texas at Arlington
Affordable Autonomous Vehicles For Deployment After Disastrous Events, Shannon Abolmaali
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
In disastrous events such as hurricanes and tornadoes, it has been observed that people get stranded and helpless without a feasible way to escape during those emergency situations. This became very evident during hurricanes, such as Katrina and Ida affecting millions of people seeking immediate rescue efforts. With the use of artificial intelligence and machine learning, we envision an autonomous vehicle, AV, which is able to find the most optimal and safest way to help those who are stranded to get them to a safe location. Electric vehicles, EV, and Autonomous Vehicles, AV, is becoming the future; minimizing the carbon …
Fathom In Color: Expansion Of Reproduceable Color In Interference Pattern-Based Printed Motion And Depth Effects,
2022
Clemson University
Fathom In Color: Expansion Of Reproduceable Color In Interference Pattern-Based Printed Motion And Depth Effects, Dovie Jeffcoat
All Theses
Value-added printed embellishments are increasingly sought after as brands compete for consumer attention. Fathom Optics’ method for printing motion and depth effects provides a cost-efficient, reduced waste embellishment option. One of Fathom’s current limitations is producing effects with vibrant color. The current standard practice for producing color Fathom Effects tends to darken and desaturate the final embellishment’s color. This study endeavors to determine how an ink color's components (hue, value and chroma) may determine a Fathom Effect’s contrast or intensity. To achieve this, fifteen color inks were selected to flexographically print the effect patterns. Samples were taken from each color …
A Study Of Scheduling Problems With Sequence Dependent Restrictions And Preferences,
2022
Clemson University
A Study Of Scheduling Problems With Sequence Dependent Restrictions And Preferences, Nitin Srinath
All Dissertations
In some applications like fabric dying, semiconductor wafer processing, and flexible manufacturing, the machines being used to process jobs must be set up and serviced frequently. These setup processes and associated setup times between jobs often depend on the jobs and the sequence in which jobs are placed onto machines. That is, the scheduling of jobs on machines must account for the sequence-dependent setup times as well. These setup times can be a major factor in operational costs. In fabric dyeing processes, the sequence in which jobs are processed is also important for quality, i.e., there is a strong preference …
Double Tolerance Design In Stochastic Production Environments,
2022
Clemson University
Double Tolerance Design In Stochastic Production Environments, Di Liu
All Dissertations
In a production process, it is impossible to produce parts with exact specifications. Thus, specific ranges, i.e., tolerances, are commonly employed to define intervals for the quality characteristics of conforming products (Wu & Tang (1998)). Usually, a product is deemed conforming when the measurement of the quality characteristic falls within the tolerance. If the measurement falls outside the tolerance, the product is nonconforming and it can be reworked or scrapped. One of the important engineering problems commonly faced by practitioners is to determine optimal engineering tolerances to be used in production. As a result, tolerance design techniques are widely used …
Examining The Impact Of Design Features Of Electronic Health Records Patient Portals On The Usability And Information Communication For Shared Decision Making,
2022
Clemson University
Examining The Impact Of Design Features Of Electronic Health Records Patient Portals On The Usability And Information Communication For Shared Decision Making, Rong Yin
All Dissertations
The use of the Electronic Health Records (EHR) patient portal has been shown to be effective in generating positive outcomes in patients’ healthcare, improving patient engagement and patient-provider communication. Government legislation also required proof of its meaningful use among patients by healthcare providers. Typical patient portals also include features such as health information and patient education materials. However, little research has examined the specific use of patient portals related to individuals with specific diseases such as inflammatory bowel diseases (IBDs). IBDs are life-long, not curable, chronic diseases that can impact the whole population. Individuals with IBDs may have higher needs …
The Impact Of Reliability In Conceptual Design - An Integrated Trade-Off Analysis,
2022
University of Arkansas, Fayetteville
The Impact Of Reliability In Conceptual Design - An Integrated Trade-Off Analysis, Tevari James Barker
Graduate Theses and Dissertations
Research presented in this paper focuses on developing models to estimate the systemreliability of Unmanned Ground Vehicles using knowledge and data from similar systems. Traditional reliability approaches often require detailed knowledge of a system and are used in later design stages as well as development, operational test and evaluation, and operations. The critical role of reliability and its impact on acquisition program performance, cost, and schedule motivate the need for improved system reliability models in the early design stages. Reliability is often a stand-alone requirement and not fully included in performance and life cycle cost models. This research seeks to …
Predicting The Likelihood And Scale Of Wildfires In California Using Meteorological And Vegetation Data,
2022
University of Arkansas, Fayetteville
Predicting The Likelihood And Scale Of Wildfires In California Using Meteorological And Vegetation Data, Matthew Walters
Graduate Theses and Dissertations
Wildfires have devastating ecological, environmental, economical, and public health impacts through the deterioration of water and air quality, CO2 emissions, property damage, and lung illnesses. The early detection and prevention of wildfires allow for the minimization of these risks. The use of Artificial Intelligence (AI) in wildfire detection and prediction has been highly researched as a tool to assist firefighters in stopping wildfires in its early stages. The three common wildfire prediction categories include image and video detection, behavior prediction, and susceptibility prediction. Data such as climate, weather, vegetation, satellite images, and historical wildfire data is most commonly used. Many …
Competition And Third-Party Platform-Integration In Ride-Sourcing Markets,
2022
Hong Kong University of Science and Technology
Competition And Third-Party Platform-Integration In Ride-Sourcing Markets, Yaqian Zhou, Hai Yang, Jintao Ke, Hai Wang, Xinwei Li
Research Collection School Of Computing and Information Systems
Recently, some third-party integrators attempt to integrate the ride services offered by multiple independent ride-sourcing platforms. Accordingly, passengers can request ride through the integrators and receive ride service from any one of the ride-sourcing platforms. This novel business model, termed as third-party platform-integration in this work, has potentials to alleviate market fragmentation cost resulting from demand splitting among multiple platforms. Although most existing studies focus on operation strategies for one single monopolist platform, much less is known about the competition and platform-integration and their implications on operation strategy and system efficiency. In this work, we propose mathematical models to describe …
Supervised Representation Learning For Improving Prediction Performance In Medical Decision Support Applications,
2022
University of Arkansas, Fayetteville
Supervised Representation Learning For Improving Prediction Performance In Medical Decision Support Applications, Phawis Thammasorn
Graduate Theses and Dissertations
Machine learning approaches for prediction play an integral role in modern-day decision supports system. An integral part of the process is extracting interest variables or features to describe the input data. Then, the variables are utilized for training machine-learning algorithms to map from the variables to the target output. After the training, the model is validated with either validation or testing data before making predictions with a new dataset. Despite the straightforward workflow, the process relies heavily on good feature representation of data. Engineering suitable representation eases the subsequent actions and copes with many practical issues that potentially prevent the …
Model-Based Operational Performance Evaluation Of Augmented Reality Applications In Supported Employment Training,
2022
Florida Institute of Technology
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 …
Factors Affecting Hotel Recommendation: Before The Covid-19 Pandemic And After The Reopening,
2022
University of Nevada, Las Vegas
Factors Affecting Hotel Recommendation: Before The Covid-19 Pandemic And After The Reopening, Boran Kim
UNLV Theses, Dissertations, Professional Papers, and Capstones
During the COVID-19 pandemic, numerous people lost their lives, and a lot of industries were affected. The hospitality industry was especially affected due to social distancing, travel restrictions, and safety issues. During that time, not only did customers' expectations change but their recommendation of hotels to friends and colleagues also changed. The current study used five factors (i.e., cleanliness, location, room, service, and value) to discover which factors were affecting hotel recommendation before the COVID-19 pandemic and after the reopening. This study used secondary data (online surveys) from one of the well-known integrated resorts located in the western United States. …
Hierarchical Value Decomposition For Effective On-Demand Ride Pooling,
2022
Singapore Management University
Hierarchical Value Decomposition For Effective On-Demand Ride Pooling, Hao Jiang, Pradeep Varakantham
Research Collection School Of Computing and Information Systems
On-demand ride-pooling (e.g., UberPool, GrabShare) services focus on serving multiple different customer requests using each vehicle, i.e., an empty or partially filled vehicle can be assigned requests from different passengers with different origins and destinations. On the other hand, in Taxi on Demand (ToD) services (e.g., UberX), one vehicle is assigned to only one request at a time. On-demand ride pooling is not only beneficial to customers (lower cost), drivers (higher revenue per trip) and aggregation companies (higher revenue), but is also of crucial importance to the environment as it reduces the number of vehicles required on the roads. Since …
Complex System Governance Leadership,
2022
Old Dominion University
Complex System Governance Leadership, David C. Walters
Engineering Management & Systems Engineering Theses & Dissertations
The purpose of this research was to develop a systems theory-based framework for leadership in governance of complex systems. Recognizing complexity and uncertainty as norms for the environments in which organizations exist encouraged researchers to suggest complexity theory, complex systems, and complex adaptive systems as appropriate for addressing these conditions. Complex System Governance (CSG), based in systems theory, management cybernetics, and governance, endeavors to provide for the design, execution and evolution of functions that provide control, communication, coordination, and integration at the metasystem level to support operations and continued system existence (viability). From a management cybernetics perspective, CSG leadership has …
Development Of Simulation Framework For Impact Analysis Of Launch Delays On Lunar Base Station,
2022
Florida Institute of Technology
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 …
Design, Development, And Calibration Of An Electric Field Probe For Use On Sounding Rockets,
2022
Embry-Riddle Aeronautical University
Design, Development, And Calibration Of An Electric Field Probe For Use On Sounding Rockets, Anthony Oreo
Doctoral Dissertations and Master's Theses
Earth’s ionosphere is a dynamic environment that has yet to be fully understood. Interactions of high-energy particles from space with atmospheric plasma and the Earth’s natural magnetic field create many interesting interactions, many of which have direct impacts on the planet and human life. Understanding the dynamics of the upper atmosphere is a compelling endeavor, with much of the research being conducted through high-altitude sounding rockets. These rockets allow for in-situ measurements of the physical parameters of the upper atmosphere which in turn helps in the answering of important questions in space science. In order to quantify the force a …
Optimizing Class Access - Owlgo,
2022
Kennesaw State University
Optimizing Class Access - Owlgo, Matthew Pendley, Bright Uchehara, Renji Maliakal, Jorge Solorzano
Senior Design Project For Engineers
This is the senior design project for Optimizing Class Access using OwlGo. The researcher examine the Marietta campus of Kennesaw State University, in hopes of improving the assigned class locations for each major.
Développement D’Une Méthodologie Pour Évaluer La Performance Des Gants À Isoler Des Vibrations En Tenant Compte De La Dextérité Ainsi Que De La Force De Préhension,
2022
Institut de recherche Robert-Sauvé en santé et en sécurité du travail (IRSST)
Développement D’Une Méthodologie Pour Évaluer La Performance Des Gants À Isoler Des Vibrations En Tenant Compte De La Dextérité Ainsi Que De La Force De Préhension, Pierre Marcotte, Subhash Rakheja, Christian Larivière, Yumeng Yao, Chantal Gauvin, Karim Hamouda, Hakim Mecheri
Rapports de recherche scientifique
L'efficacité des gants antivibrations pour réduire les vibrations transmises à la main est actuellement évaluée en laboratoire selon la méthodologie décrite dans la norme ISO 10819:2013. Cette norme évalue la transmission des vibrations à la paume de la main, mais ne tient pas compte de la transmission des vibrations aux doigts ni de l’effet du port de ces gants sur la dextérité manuelle et l’effort de préhension. Cette étude visait à développer une méthodologie afin d’améliorer l’évaluation de la transmission des vibrations par les gants antivibrations à la paume et aux doigts, tout en tenant compte de l’effet de ces …
Nanoparticulate Carriers For Drug Delivery,
2022
Wright State University - Main Campus
Nanoparticulate Carriers For Drug Delivery, Samantha Lokelani Crossen, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
Drug delivery with nanoparticulate carriers is a new and upcoming research area that is making major changes within the pharmaceutical industry. Nanoparticulate carriers are discussed, particularly, engineered nanoparticulate carriers used as drug delivery systems for targeted delivery. Nanoparticulate carriers that are used for drug delivery systems include polymers, micelles, dendrimers, liposomes, ceramics, metals, and various forms of biological materials. The properties of these nanoparticulate carriers are very advantageous for targeted drug delivery and result in efficient drug accumulation at the targeted area of interest, reduced drug toxicity, reduced systemic side effects, and more efficient use of the drug overall. Nanoparticlulate …
