Browsing Theses and Dissertations(library) by Author "Chen, Victoria"
Now showing items 1-20 of 32
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A design and analysis of computer experiments approach for green building
Sayadi, Marjan (2016-12-07)The coming shortage of energy sources and critical environmental impacts are two major factors that have forced a change in product design processes. The shortage of energy sources is related to the limitation on non-renewable ... -
A Dynamic Policing Simulation Framework
Haque, Khan Md Ariful; 0000-0002-2404-3844 (2018-12-11)Crime is a serious problem to a society, and its costs are an economic burden. With the help of technology and developed tools, law enforcement agencies are making significant efforts to combat crime, so as to create a ... -
A HYBRID SYSTEMS MODEL FOR EMERGENCY DEPARTMENT BOARDING MANAGEMENT
Suley, Eniola Oluwasola; 0000-0003-3630-0585 (2022-08-04)The purpose of this research is to examine methods for minimizing the influence of boarding on emergency department (ED) crowding outcomes. To accomplish this purpose, this research uses a hybrid systems model framework ... -
A MULTI-AGENT DEMAND RESPONSE PLANNING AND OPERATIONAL OPTIMIZATION FRAMEWORK
Fallahi, Alireza; 0000-0002-3744-4380 (2019-08-29)This research describes a real-time optimization model for multi-agent demand response (DR) from a Load Serving Entity (LSE) perspective. We formulate two infinite horizon stochastic optimization models; specifically, an ... -
Adaptive Dynamic Programming For High-dimensional, Multicollinear State Spaces
Ariyajunya, Bancha (Industrial & Manufacturing Engineering, 2013-03-20)Dynamic programming (DP) is a mathematical programming method for optimizing a system changing over time and has been used to solve multi-stage optimization problems in manufacturing systems, environmental engineering, and ... -
Adaptive Pain Management Decision Support System
Lin, Ching-Feng (Industrial & Manufacturing Engineering, 2011-03-03)Pain management is an international health issue. The Eugene McDermott Center for Pain Management at the University of Texas Southwestern MedicalCenter at Dallas conducts a two-stage interdisciplinary pain management program ... -
Adjusting for Time Varying Confounding in Adaptive Interdisciplinary Pain Management Program
Ohol, Nilabh; 0000-0001-6269-2485 (2018-09-10)Interdisciplinary pain management combines multiple disciplines of professionals to understand the biological and psychosocial factors causing a patient's pain and to determine the best treatments among many to administer. ... -
AGENT-BASED MODEL SIMULATION FOR POLICE DEPLOYMENT DECISION-MAKING IN PATROL OPERATIONS
Ghasemi, Yasaman (2021-08-10)Police patrolling plays a key role in responding to 911 calls and reducing crimes. The effectiveness of patrol operations heavily depends on the deployment of police officers – e.g., the number of officers assigned to ... -
Convex Versions Of Multivariate Adaptive Regression Splines And Implementations For Complex Optimization Problems
Shih, Dachuan Thomas (Industrial & Manufacturing Engineering, 2007-08-23)Multivariate Adaptive Regression Splines (MARS) provide a flexible statistical modeling method that employs forward and backward search algorithms to identify the combination of basis functions that best fits the data. In ... -
Data Mining Based Threshold Development For Novelty Detection
Phaladiganon, Poovich (Industrial & Manufacturing Engineering, 2013-03-20)The objective of this dissertation is to develop thresholds for novelty detection with applications to statistical process control (SPC). SPC is a widely used technique for improving process and product quality. The ... -
A Data-Integrated Simulation-Based Optimization Approach For Nurse-Patient Assignment
Sundaramoorthi, Duraikannan (Industrial & Manufacturing Engineering, 2007-09-17)This research develops a novel data-integrated simulation to evaluate nurse-patient assignments (SIMNA) based on a real data set provided by Baylor Regional Medical Center (Baylor) in Grapevine, Texas. Tree-based models ... -
A Design And Analysis Of Computer Experiments-based Approach To Approximate Infinite Horizon Dynamic Programming With Continuous State Spaces
Kulvanitchaiyanunt, Asama (Industrial & Manufacturing Engineering, 2014-07-14)Dynamic programming (DP) is an optimization approach that transforms a complex problem into a sequence of simpler sub-problems at different points in stage. The original DP approach used Bellman's equation to compute the ... -
A Dynamic Multiple Stage, Multiple Objective Optimization Model With An Application To A Wastewater Treatment System
Tarun, Prashant (Industrial & Manufacturing Engineering, 2008-08-08)Decision-making for complex dynamic systems involves multiple objectives. Various methods balance the tradeoffs of multiple objectives, the most popular being weighted-sum and constraint-based methods. Under convexity ... -
ENHANCING ANAEROBIC OXIDATION OF METHANE IN LANDFILL COVER SOIL
Parsaeifard, Niloofar; 0000-0001-5718-8479 (2019-05-13)Methane (CH4) is one of the major greenhouse gases (GHG) generated in landfills and has a global warming effect 28 times more than carbon dioxide (CO2). Therefore, decreasing methane emissions into the atmosphere from ... -
An Exploration And Exploitation Pareto Approach To Surrogate Optimization
Dickson, John F. (Industrial & Manufacturing Engineering, 2014)The experiments or simulations conducted by computers can be a tedious task,requiring substantial computational time. To find a global solution using a computerexperiments process, we usually need to perform many function ... -
High-dimensional Adaptive Dynamic Programming With Mixed Integer Linear Programming
Zhang, ZirunDynamic programming (DP, Bellman 1957) is a classic mathematical programming approach to solve multistage decision problems. The “Bellman equation” uses a recursive concept that includes both the current contribution and ... -
Machine Learning Framework for Nonlinear and Interaction Relationships Involving Categorical and Numerical Features
Rao, Shirish Mohan (2021-09-01)Traditionally, physical scientific experiments have been conducted extensively to study and understand the behavior of a process or a system. With the advancement of computing technology in recent years, computer codes and ... -
MARS Knot Positioning and Global Optimization
Ju, Xinglong; 0000-0001-5213-2898 (2019-08-12)Multivariate adaptive regression splines (MARS) is a statistical modeling approach with wide real-world applications. In the MARS model building process, knot positioning is a critical step that potentially affects the ... -
Multivariate Adaptive Regression Spline Based Framework For Statistically Parsimonious Adaptive Dynamic Programming
Sahu, Subrat (Industrial & Manufacturing Engineering, 2011-10-11)Central to Dynamic Programming (DP) is the `cost-to-go' or `future value' function, which is obtained via actually solving the Bellman's equation and central to Approximate Dynamic Programming (ADP) is the use of an ... -
Multivariate Modeling For A Multiple Stage, Multiple Objective Green Building Framework
Kung, Pin (Industrial & Manufacturing Engineering, 2013-03-20)Green building is a sustainable concept to reduce environmental impact. Decision–making for green building is a complex task. A multi–stage green building framework will guide future development of a comprehensive multiple ...