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Browsing by Subject "Optimization"
Now showing items 1-20 of 33
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A Collimator Setting Optimization Algorithm for Dual-arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy
(2019)Purpose: To develop an automatic collimator setting optimization algorithm to improve dosimetric quality of pancreas Volumetric Modulated Arc Therapy (VMAT) plans for Stereotactic Body Radiation Therapy (SBRT). Methods: ... -
Aerodynamic Optimization of Helicopter Rotors using a Harmonic Balance Lifting Surface Technique
(2018)This thesis concerns the optimization of the aerodynamic performance of conventional helicopter rotors, given a set of design variables to control the rotor's pitching angle, twist and chord distributions. Two models are ... -
Aeroelastic Modeling of Blade Vibration and its Effect on the Trim and Optimal Performance of Helicopter Rotors using a Harmonic Balance Approach
(2020)This dissertation concerns the optimization of the aeroelastic performance of conventionalhelicopter rotors, considering various design variables such cyclic and higherharmonic controls. A nite element model is introduced ... -
Beam Optimization for Whole Breast Radiation Therapy Planning
(2018)Purpose: To develop an automated program that can generate the optimal beams for whole breast radiation therapy (WBRT).Methods and Materials: A total of twenty patients receiving WBRT were included in this study. The computed ... -
CFD Optimization of Small Gas Ejectors Used in Navy Diving Systems
(2012)Optimization of small gas ejectors is typically completed by selecting a single set of operating conditions and optimizing the geometry for the specified conditions. The U.S. Navy is interested in utilizing a small gas ejector ... -
Computational Optical Imaging Systems: Sensing Strategies, Optimization Methods, and Performance Bounds
(2012)The emerging theory of compressed sensing has been nothing short of a revolution in signal processing, challenging some of the longest-held ideas in signal processing and leading to the development of exciting new ways to ... -
Continuous-Time Models of Arrival Times and Optimization Methods for Variable Selection
(2018)This thesis naturally divides itself into two sections. The first two chapters concernthe development of Bayesian semi-parametric models for arrival times. Chapter 2considers Bayesian inference for a Gaussian process modulated ... -
Control of Vibratory Energy Harvesters in the Presence of Nonlinearities and Power-Flow Constraints
(2012)Over the past decade, a significant amount of research activity has been devoted to developing electromechanical systems that can convert ambient mechanical vibrations into usable electric power. Such systems, referred ... -
Design, Optimization, and Test Methods for Micro-Electrode-Dot-Array Digital Microfluidic Biochips
(2017)Digital microfluidic biochips (DMFBs) are revolutionizing many biochemical analysis procedures, e.g., high-throughput DNA sequencing and point-of-care clinical diagnosis. However, today's DMFBs suffer from several limitations: ... -
Efficient Design of Electricity Market Clearing Mechanisms with Increasing Levels of Renewable Generation and Carbon Price
(2017)Increased use of wind energy in electricity systems can help reduce green house gas emissions and enhance energy security. However, the traditional scheduling and dispatching processes used to ensure the cost-effective and ... -
Generalized and Scalable Optimal Sparse Decision Trees
(2020)Decision tree optimization is notoriously difficult from a computational perspective but essential for the field of interpretable machine learning. Despite efforts over the past 40 years, only recently have optimization ... -
Interpretable Almost-Matching Exactly with Instrumental Variables
(2019)We aim to create the highest possible quality of treatment-control matches for categorical data in the potential outcomes framework. The method proposed in this work aims to match units on a weighted Hamming distance, taking ... -
Intrinsically Disordered Protein Polymer Libraries as Tools to Understand Protein Hydrophobicity
(2019)Intrinsically disordered protein polymers (IDPPs) are repetitive biopolymers that, when enriched with prolines, glycines, and aliphatic amino acids, have observable lower critical solution temperature (LCST) phase transition ... -
Investigation of AP/PA Recumbent Technique for Total Body Irradiation
(2020)Purpose: Total body irradiation (TBI) is to deplete patient’s bone marrow and suppress the immune system by delivering uniform dose to patient’s whole body with a relatively low dose rate. The widely used total body irradiation ... -
Modeling and Control of an Electromagentic Transducer for Vibratory Energy Harvesting Applications
(2011)The primary focus of this thesis is on the modeling and control of an electromechanical transducer to harvest energy from large structures (e.g. buildings and bridges). The transducer consists of a back-driven ballscrew ... -
Modeling and Probabilistic Optimization of Rolling Isolation System for Seismic Hazard Mitigation
(2019)A new model for Rolling Isolation Systems(RIS) is developed using Gauss's Principle of Least Constraint (GPLC). Gauss Principle of Least Constraint is a versatile method that can be used to model systems with constrained ... -
Nonholonomically Constrained Dynamics and Optimization of Rolling Isolation Systems
(2016)Rolling Isolation Systems provide a simple and effective means for protecting components from horizontal floor vibrations. In these systems a platform rolls on four steel balls which, in turn, rest within shallow bowls. ... -
Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization
(2015)This thesis presents data analysis and methodology for two prediction problems. The first problem is forecasting midlife credit ratings from personality information collected during early adulthood. The second problem is ... -
Optimal Sparse Decision Trees
(2019)Decision tree algorithms have been among the most popular algorithms for interpretable (transparent) machine learning since the early 1980's. The problem that has plagued decision tree algorithms since their inception is ... -
Optimization of Trustworthy Biomolecular Quantitative Analysis Using Cyber-Physical Microfluidic Platforms
(2018)Considerable effort has been devoted in recent years to the design and implementation of microfluidic platforms for biomolecular quantitative analysis. However, today's platforms suffer from two major limitations: (1) they ...
