Predicting Nonadherence Behavior Towards Mammography Screening Guidelines,
2016
University of Arkansas, Fayetteville
Predicting Nonadherence Behavior Towards Mammography Screening Guidelines, Brian L. Trussell
Industrial Engineering Undergraduate Honors Theses
The goal of this research is to examine factors associated with nonadherence behavior toward mammography screening among U.S. women. The 2014 Behavioral Risk Factor Surveillance System (BRFSS) survey data was used for this study, allowing the model to represent a robust sample. A logistic regression model was developed to gain an understanding of influencing factors, including demographic, health-related and behavioral characteristics. Further analysis with logistic regression models stratified by age were conducted to control for the effect of age. The results show that demographic and health related information such as income, number of children, and BMI category can help intervention …
Modeling Supply Chain Resiliency,
2016
University of Arkansas, Fayetteville
Modeling Supply Chain Resiliency, Jeff A. Hazel
Industrial Engineering Undergraduate Honors Theses
Engineered Resilient Systems (ERS) is a Department of Defense (DoD) program focusing on the effective and efficient design and development of complex engineered systems throughout their life cycle. There is a growing literature with qualitative definitions of resilience and quantitative models for systems with one performance measure. This paper uses a quantitative resilience framework (the Framework for ERS) that includes system design options, reliability, threats, vulnerabilities, responses, and consequences assessed in multiple system performance measures. The framework assists in establishing a model for any system to evaluate resiliency. This paper applies this framework using Multiple Objective Decision Analysis (MODA) to …
Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For A Fleet Of Coal-Fired Power Plants,
2016
University of Texas at Arlington
Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For A Fleet Of Coal-Fired Power Plants, Antonio Alejandro Alanis Pena
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Major commercial electricity generation is done by burning fossil fuels out of which coal-fired power plants produce a substantial quantity of electricity worldwide. The United States has large reserves of coal, and it is cheaply available, making it a good choice for the generation of electricity on a large scale. However, one major problem associated with using coal for combustion is that it produces a group of pollutants known as nitrogen oxides (NOx). NOx are strong oxidizers and contribute to ozone formation and respiratory illness. The Environmental Protection Agency (EPA) regulates the quantity of NOx emitted to the atmosphere in …
Discriminating Parkinson's Disease Using Functional Connectivity And Brain Network Analysis,
2016
University of Texas at Arlington
Discriminating Parkinson's Disease Using Functional Connectivity And Brain Network Analysis, Daniel Gellerup
Industrial, Manufacturing, and Systems Theses - Archive
In this study, we explored the use of functional connectivity patterns in fMRI data to classify subjects on the basis of Parkinson's disease. We explore various brain networks and features. We partition our fMRI data in 5 filtered frequency ranges. We use a proximal support vector machine paired with a minimum-redundancy and maximum-relevance feature selection method on each frequency range. We use a majority voting ensemble classification method on the results of the proximal support vector machine classification results. We use a double 5-fold cross validation scheme for model validation. We achieve 84% accuracy 74% sensitivity, and 93% specificity. Our …
Statistical Learning Tools With Food Science,
2016
University of Arkansas, Fayetteville
Statistical Learning Tools With Food Science, Jessica C. Hacker
Industrial Engineering Undergraduate Honors Theses
The food science discipline has many issues requiring research within academia in order to protect the food that gets distributed from industry. The team within the Center for Food Safety at the University of Arkansas’ Division of Agriculture has been studying the gastrointestinal microbial community in broiler chickens in order to control pathogenic bacteria and improve gut health within the chickens to promote a healthy adult microbiota. This has many positive effects on the quality of the chickens. The team performs a standard method of analysis on every experiment run within a software called QIIME to determine if a treatment …
Developing A Risk Analysis Model To Improve Study Abroad Awareness,
2016
University of Arkansas, Fayetteville
Developing A Risk Analysis Model To Improve Study Abroad Awareness, Tyler Spain
Industrial Engineering Undergraduate Honors Theses
As international education opportunities increase in popularity among U.S. college students (McMurtrie, 2007), it is becoming more and more necessary for study abroad organizations to be aware of the risks students face as they travel abroad. While some international cities are riskier than others, it can be difficult to distinguish between cities which truly carry a high degree of risk for visiting students, and which cities are only perceived to be risky based on various personal misconceptions. The University of Arkansas Office of Study Abroad & International Exchange currently lacks a way to quantifiably analyze the risk of study abroad …
A System Dynamics Approach Applied To Wind Energy System Sustainability,
2016
University of Texas at Arlington
A System Dynamics Approach Applied To Wind Energy System Sustainability, Jenny Maria Tejeda Carlos
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Sustainability of energy systems is one of the most important challenges currently facing humanity. Access to energy is critical to ensure economic and social development of a nation (UNDP et al., 2000); however, extraction, production and consumption of energy resources are also associated with high volumes of greenhouse gas (GHG) emissions, environmental damage and, in some cases, adverse health effects in communities where energy facilities are located. Renewable energy sources have been considered as an alternative to traditional energy sources to meet energy demand in a sustainable manner (Del Rio and Burguillo, 2008). Wind energy is considered to be one …
Dynamic Constraint Optimal Selection Techniques For Linear Programming,
2016
University of Texas at Arlington
Dynamic Constraint Optimal Selection Techniques For Linear Programming, Alireza Noroziroshan
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Linear programming has been studied for over 60 years. It has been considered as one of the most valuable optimization tool for many industrial problems. The simplex algorithm remains the predominant approach to solving linear programming problems. Here we use the simplex method in an active-set frame work to improve it substantially. In general an active-set method obtains solutions by adding one or more problem constraints at a time to solve smaller problems iteratively. In particular, some of these methods have proven to perform significantly faster than the simplex method. In this dissertation we proposed an e?cient constraint selection metric …
Developing A Logistics Risk Assessment Tool,
2016
University of Arkansas, Fayetteville
Developing A Logistics Risk Assessment Tool, Daniel C. Fritsche
Industrial Engineering Undergraduate Honors Theses
Economies around the world have thrived in the wake of the development and keen understanding of effective supply chain management practices. As a result, organizations have become more dependent on other organizations to move their products and services to completion due to complex sourcing and shipping arrangements that have precipitated from the formation of sophisticated supply chains. A supply chain is in general a flow of products or services. When this flow is disrupted or halted, disastrous consequences can ensue. In the worst cases, such as with a disaster relief organization like the American Red Cross, disruptions in supply chains …
Engineered Resilient Systems Model Applied To Network Design,
2016
University of Arkansas, Fayetteville
Engineered Resilient Systems Model Applied To Network Design, Zephan W. Wade
Industrial Engineering Undergraduate Honors Theses
Engineered Resilient Systems (ERS) is a Department of Defense (DoD) program focusing on the effective and efficient design and development of resilient complex engineered systems throughout their lifecycle. There is growing literature with qualitative definitions of resilience and quantitative models for systems, but these focus typically on systems with one performance measure. In application, many systems have multiple functions and multiple performance measures. This research uses a quantitative resilience framework for ERS that includes system design options, reliability, external threats, vulnerabilities, responses, and consequences assessed on multiple system performance measures. This paper applies the ERS framework to designing resilient networks.
Markov-Based Ranking Methods,
2016
Purdue University
Markov-Based Ranking Methods, Baback Vaziri
Open Access Dissertations
Ranking methods are an essential tool to help make decisions. This dissertation document examines different aspects of the theory and application of pairwise comparison ranking methods, specifically those that use Markov chains. First, a new method is developed to solve a traditional recruiting problem, and is shown to improve the predictive power of its ranking. Next, modifications are made to an existing method that theoretically improves the reliability, while maintaining the rank integrity. Last, a framework is developed that defines a fair and comprehensive ranking method, and several popular methods are evaluated in their ability to adhere to the said …
Baseball Portfolio Optimization,
2016
University of Arkansas, Fayetteville
Baseball Portfolio Optimization, Keegan Henderson
Industrial Engineering Undergraduate Honors Theses
Portfolio optimization techniques are methods used to determine the best set of stocks in which to invest. Mean-variance optimization, one method of portfolio optimization, attempts to find the set of portfolios that have the maximum expected return at each level of risk (Jorion, 1992). Another technique, Monte Carlo simulation, uses random number generation to create a probability distribution of potential returns (Kwak & Ingall, 2007). This can be used to determine the risk of potential investments not returning a certain desired amount (Thompson & McLeod, 2009). Though traditionally used in the world of finance, these tools can also be utilized …
Risk Estimation Toward A Natural History Model For Low Grade Glioma Patients,
2016
University of Arkansas, Fayetteville
Risk Estimation Toward A Natural History Model For Low Grade Glioma Patients, Anh Thi Hoang Pham
Graduate Theses and Dissertations
Glioma is a common type of primary brain tumor that represents 28% of all brain tumors and 80% of malignant tumors. According to a recent study by the Centers for Disease Control and Prevention (CDC), gliomas account for 53%, 35% and 29% of all brain tumors (68%, 74% and 81% of malignant brain tumors) among children (aged 0-14), teenagers (aged 15-19) and young adults, respectively. Gliomas are often diagnosed through radiological imaging and histopathology. There are two main groups of gliomas following World Health Organization’s classification: Low grade gliomas (LGG), or grade I and II gliomas; and high grade gliomas …
Essays In Physicians Preference Items And Inventory Management Within The Healthcare Supply Chain,
2016
University of Arkansas, Fayetteville
Essays In Physicians Preference Items And Inventory Management Within The Healthcare Supply Chain, Mohammad A. Shbool
Graduate Theses and Dissertations
This work is composed of a number of topics in the healthcare area, which are approached separately with appropriate methodologies. The two topics deal with physician preference items via two different approaches. The first one investigates stock keeping unit (SKU) proliferation in healthcare organizations due to physician preference items (PPI). It captures perspectives of physicians and supply chain professionals about this problem through two surveys. The second topic builds a decision-making framework for the PPI selection process that can be used by healthcare organizations to make more objective decisions. A Multi-criteria decision making technique is implemented to illustrate the framework.
Use Of Response Surfaces In The Design Of A Simple Step Stress Accelerated Test Plan,
2016
University of Arkansas, Fayetteville
Use Of Response Surfaces In The Design Of A Simple Step Stress Accelerated Test Plan, Alexander H. Wong
Graduate Theses and Dissertations
In designing accelerated testing plans, cost is a factor that is missing in much of the literature. This paper explicits considers cost by developing an optimization model with the objective to minimize costs for a simple step stress accelerated test plan. Two methodologies are employed. One is an optimization approach in which an attempt is made to quantify the behavior of a series-parallel hardware system over all stages of testing using a response surface, and then an optimization model is used to determine the settings for stresses and failure mode modifications for all stages of testing prior to the start …
A Tabu Search, Augment-Merge Heuristic To Solve The Stochastic Location Arc Routing Problem,
2016
University of Arkansas, Fayetteville
A Tabu Search, Augment-Merge Heuristic To Solve The Stochastic Location Arc Routing Problem, Tiffany L. Yang
Graduate Theses and Dissertations
The location arc routing problem (LARP) is a network optimization problem combining strategic facility location decisions and tactical or operational vehicle routing decisions for customer demand located on arcs of a network. The LARP seeks to locate facilities, or depots, and create vehicle delivery routes to minimize costs. The total cost is comprised of three components: fixed facility locations costs, fixed route creation (or vehicle acquisition) costs, and variable arc traversal costs. The applications of the LARP are varied and often include public services such as mail delivery, garbage collection, and street sweeping. In all of these applications, the magnitude …
Reinforcement Learning Framework For Modeling Spatial Sequential Decisions Under Uncertainty: (Extended Abstract),
2016
Singapore Management University
Reinforcement Learning Framework For Modeling Spatial Sequential Decisions Under Uncertainty: (Extended Abstract), Truc Viet Le, Siyuan Liu, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
We consider the problem of trajectory prediction, where a trajectory is an ordered sequence of location visits and corresponding timestamps. The problem arises when an agent makes sequential decisions to visit a set of spatial locations of interest. Each location bears a stochastic utility and the agent has a limited budget to spend. Given the agent's observed partial trajectory, our goal is to predict the remaining trajectory. We propose a solution framework to the problem considering both the uncertainty of utility and the budget constraint. We use reinforcement learning (RL) to model the underlying decision processes and inverse RL to …
Optimization Of Rfid System Coverage In A Manufacturing Environment,
2016
California Polytechnic State University, San Luis Obispo
Optimization Of Rfid System Coverage In A Manufacturing Environment, Scott D. Malatesta
Master's Theses
This paper compiles existing ideas, theories, and experiments across multiple disciplines to provide guidance for a company looking to implement an optimal RFID system in their production facility. The desire is to maximize the information received by the system while minimizing the cost. Four potential layouts of RFID antennas, two with overlapping antenna coverage and two with non-overlapping layouts, are first analyzed to understand the special coverage and the number of antennas required. The value of information is then quantified to determine whether higher coverage layouts are worth the additional costs associated with the higher number of antennas required. It …
Computing Research In Academia: Classifications, Keywords, Perceptions, And Connections,
2016
Brigham Young University - Provo
Computing Research In Academia: Classifications, Keywords, Perceptions, And Connections, Sung Han Kim
Theses and Dissertations
The Association for Computing Machinery (ACM) recognizes five computing disciplines: Computer Science (CS), Computer Engineering (CE), Information Technology (IT), Information Systems (IS), and Software Engineering (SE). Founded in 1947 the ACM is the world's largest society for computing educators, researchers, and professionals. While Computer Science has been a degree program since 1962, the other four are relatively new. This research focuses on understanding the graduate research in four of the five ACM disciplines (CS, CE, IT, and IS) using a large body of thesis and dissertation metadata. SE is not found in the metadata and graduate work in SE is …
Simultaneous Optimization And Sampling Of Agent Trajectories Over A Network,
2016
United Technologies Research Center
Simultaneous Optimization And Sampling Of Agent Trajectories Over A Network, Hala Mostafa, Akshat Kumar, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
We study the problem of optimizing the trajectories of agents moving over a network given their preferences over which nodes to visit subject to operational constraints on the network. In our running example, a theme park manager optimizes which attractions to include in a day-pass to maximize the pass’s appeal to visitors while keeping operational costs within budget. The first challenge in this combinatorial optimization problem is that it involves quantities (expected visit frequencies of each attraction) that cannot be expressed analytically, for which we use the Sample Average Approximation. The second challenge is that while sampling is typically done …
