UMD Theses and Dissertations
Permanent URI for this collectionhttp://hdl.handle.net/1903/3
New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.
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Item Optical nanofiber fabrication and analysis towards coupling atoms to superconducting qubits(2014) Hoffman, Jonathan; Orozco, Luis A.; Rolston, Steven L.; Physics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)We describe advancements towards coupling superconducting qubits to neutral atoms. To produce a measurably large coupling, the atoms will need to be on the order of a few micrometers away from the qubit. A consequence of combining superconducting qubits and atoms is addressing their operational constraints, such as the deleterious light effects on superconducting systems and the magnetic field sensitivity of superconducting qubits. Our group proposes the use of optical-nanofiber-based optical dipole traps to confine atoms near the superconductor. Optical nanofibers (ONFs) have high-intensity evanescent waves that require less power than equivalent standard dipole traps. This thesis focuses on the fabrication and analysis of the behavior of ONFs. First we present the construction of the pulling apparatus. We outline the necessary steps for a typical pull, detailing the cleaning and alignment process. Then we examine the quality of the fibers by measuring their transmission and comparing our results to other reported measurements, demonstrating a two-order of magnitude decrease in loss. Next we present the modal evolution in ONFs using simulations and spectrogram analysis. We identify crucial elements to improve the transmission and demonstrate understanding of the modal dynamics during the pull. Then we study higher-order modes (HOMs) with ONFs using the first excited TE01, TM01, and HE21 modes. We demonstrate transmissions greater than 97% for 780 nm light when we launch the first excited LP11 family of modes through fibers with a 350 nm waist. This setup enables us to launch these three modes with high purity at the output, where less than 1% of the light is coupled to the fundamental mode. We then focus on the identification of modes on the ONF waist. First we use Rayleigh scattering to identify the modal content of an ONF. Bulk optics can convert the modes in the ONF, and we observe the controllable conversion of superpositions of modes. Finally, we use an evanescently-coupled tapered optical fiber probe that allows for the identification of the fundamental mode beating with HOMs and compare the results to simulations.Item GENOME-WIDE ANALYSIS OF DIVERGENCE AND INTROGRESSION IN TOWHEE HYBRID ZONES(2012) Kingston, Sarah Elizabeth; Fagan, William F; Braun, Michael J; Behavior, Ecology, Evolution and Systematics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)ABSTRACT Title of Dissertation: GENOME-WIDE ANALYSIS OF DIVERGENCE AND INTROGRESSION IN TOWHEE HYBRID ZONES Sarah Elizabeth Kingston, Doctor of Philosophy, 2012 Dissertation directed by: William F. Fagan, PhD, Department of Biology Michael J. Braun, PhD, Smithsonian Institution Hybrid zones offer a natural laboratory in which investigation of the evolutionary forces involved with reproductive isolation and differentiation is possible. Highly multilocus population genomics is a powerful and feasible new tool with which to address such questions of evolutionary interest. I utilize a unique spatial setting that incorporates two hybrid gradients of the towhess Pipilo maculatus and P. ocai. These species likely diverged in allopatry and are in secondary contact. I utilize genome-scale multilocus techniques to address questions regarding the architecture of differentiation and introgression across these hybrid gradients and the influence of location specific environmental factors on isolation. The multilocus analysis reveals cross-genomic variation in selective constraints on gene flow and locus-specific flexibility in the permeability of the interspecies membrane. Maintenance of historical divergence is acting in a cohesive manner, but local environmental and stochastic factors are also important driving forces. Habitat corridors for dispersal potential indicate hotspots of connectivity where the two transects meet. Both habitat connectivity and genetic differentiation between geographically disparate parental types appear to influence the dynamics of gene flow across the hybrid gradient. Environmentally-mediated gene flow in the context of secondary contact and hybridization is an important force influencing evolutionary trajectory.Item A Hybrid Testing Platform for Realistic Characterization of Infrastructure Sensor Technology(2011) Mercado, Michael William; Zhang, Yunfeng; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)In America's transportation infrastructure, maintaining safe and serviceable bridges is of paramount importance to America's transportation officials. In order to meet the increasing demands for information-based maintenance and repair of civil infrastructures such as highway bridges, an increasing number of structural health monitoring sensors and other non-destructive evaluation (NDE) devices have begun to be implemented on these structures. Before these health monitoring sensors can be implemented on a large scale, they must first be validated and characterized in a controlled environment. This thesis proposes and demonstrates the use of a hybrid testing platform to create a more realistic testbed to evaluate these structural health monitoring sensors for steel bridges. The details of this hybrid testing platform are discussed including the effects of ramp time, stress level, complexity of the virtual model, fatigue, and high temperature testing. The accuracy and practical implementation of this hybrid testing platform are also addressed.Item Lipid-Hydrogel Nanoparticles: Synthesis Methods and Characterization(2009) Hong, Jennifer S.; Raghavan, Srinivasa R; Bioengineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This dissertation focuses on the directed self-assembly of nanoscale soft matter particles using methods based on liposome-templating. Nanoscale liposomes, nano-sized hydrogel particles ("nanogels"), and hybrids of the two have enormous potential as carriers in drug delivery and nanotoxicity studies, and as nanovials for enzyme encapsulation and single molecule studies. Our goal is to develop assembly methods that produce stable nanogels or hybrid lipid-polymer nanoparticles, using liposomes as size and shape templates. First we describe a bulk method that employs liposomes to template relatively monodisperse nanogels composed of the biopolymer, alginate, which is a favorable material for nanogel formation because it uses a gentle ionic crosslinking mechanism that is suitable for the encapsulation of cells and biomolecules. Liposomes encapsulating sodium alginate are suspended in aqueous buffer containing calcium chloride, and thermal permeabilization of the lipid membrane facilitates transmembrane diffusion of Ca2+ ions from the surrounding buffer into the intraliposomal space, ionically crosslinking the liposome core. Subsequent lipid removal results in bare calcium alginate nanogels with a size distribution consistent with that of their liposome template. The second part of our study investigates the potential for microfluidic-directed formation of lipid-alginate hybrid nanoparticles by adapting the above bulk self-assembly procedure within a microfluidic device. Specifically we investigated the size control of alginate nanogel self-assembly under different flow conditions and concentrations. Finally, we investigate the microfluidic directed self-assembly of lipid-polymer hybrid nanoparticles, using phospholipids and an N-isopropylacrylamide monomer as the liposome and hydrogel precursors, respectively. Microfluidic hydrodynamic focusing is used to control the convective-diffusive mixing of the two miscible nanoparticle precursor solutions to form nanoscale vesicles with encapsulated hydrogel precursor. The encapsulated hydrogel precursor is polymerized off-chip and the resultant hybrid nanoparticle size distributions are highly monodisperse and precisely controlled across a broad range relevant to the targeted delivery and controlled release of encapsulated therapeutic agents. Given the ability to modify liposome size and surface properties by altering the lipid components and the many polymers of current interest for nanoparticle synthesis, this approach could be adapted for a variety of hybrid nanoparticle systems.Item Fine-Grained Linguistic Soft Constraints on Statistical Natural Language Processing Models(2009) Marton, Yuval Yehezkel; Resnik, Philip; Linguistics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This dissertation focuses on effective combination of data-driven natural language processing (NLP) approaches with linguistic knowledge sources that are based on manual text annotation or word grouping according to semantic commonalities. I gainfully apply fine-grained linguistic soft constraints -- of syntactic or semantic nature -- on statistical NLP models, evaluated in end-to-end state-of-the-art statistical machine translation (SMT) systems. The introduction of semantic soft constraints involves intrinsic evaluation on word-pair similarity ranking tasks, extension from words to phrases, application in a novel distributional paraphrase generation technique, and an introduction of a generalized framework of which these soft semantic and syntactic constraints can be viewed as instances, and in which they can be potentially combined. Fine granularity is key in the successful combination of these soft constraints, in many cases. I show how to softly constrain SMT models by adding fine-grained weighted features, each preferring translation of only a specific syntactic constituent. Previous attempts using coarse-grained features yielded negative results. I also show how to softly constrain corpus-based semantic models of words (“distributional profiles”) to effectively create word-sense-aware models, by using semantic word grouping information found in a manually compiled thesaurus. Previous attempts, using hard constraints and resulting in aggregated, coarse-grained models, yielded lower gains. A novel paraphrase generation technique incorporating these soft semantic constraints is then also evaluated in a SMT system. This paraphrasing technique is based on the Distributional Hypothesis. The main advantage of this novel technique over current “pivoting” techniques for paraphrasing is the independence from parallel texts, which are a limited resource. The evaluation is done by augmenting translation models with paraphrase-based translation rules, where fine-grained scoring of paraphrase-based rules yields significantly higher gains. The model augmentation includes a novel semantic reinforcement component: In many cases there are alternative paths of generating a paraphrase-based translation rule. Each of these paths reinforces a dedicated score for the “goodness” of the new translation rule. This augmented score is then used as a soft constraint, in a weighted log-linear feature, letting the translation model learn how much to “trust” the paraphrase-based translation rules. The work reported here is the first to use distributional semantic similarity measures to improve performance of an end-to-end phrase-based SMT system. The unified framework for statistical NLP models with soft linguistic constraints enables, in principle, the combination of both semantic and syntactic constraints -- and potentially other constraints, too -- in a single SMT model.Item Self-Contained Hybrid Electro-Hydraulic Actuators using Magnetostrictive and Electrostrictive Materials(2008-12-01) Chaudhuri, Anirban; Wereley, Norman M; Aerospace Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Hybrid electro-hydraulic actuators using smart materials along with flow rectification have been widely reported in recent years. The basic operation of these actuators involves high frequency bidirectional operation of an active material that is converted into unidirectional fluid motion by a set of valves. While theoretically attractive, practical constraints limit the efficacy of the solid-fluid hybrid actuation approach. In particular, inertial loads, fluid viscosity and compressibility combine with loss mechanisms inherent in the active material to limit the effective bandwidth of the driving actuator and the total output power. A hybrid actuator was developed by using magnetostrictive TerFeNOL-D as the active driving element and hydraulic oil as the working fluid. Tests, both with and without an external load, were carried out to measure the unidirectional performance of the actuator at different pumping frequencies and operating conditions. The maximum no-load output velocity was 84 mm/s with a 51 mm long rod and 88 mm/s with a 102 mm long rod, both noted around 325 Hz pumping frequency, while the blocked force was close to 89 N. Dynamic tests were performed to analyze the axial vibration characteristics of the Terfenol-D rods and frequency responses of the magnetic circuits. A second prototype actuator employing the same actuation principle was then designed by using the electrostrictive material PMN-32%PT as the driving element. Tests were conducted to measure the actuator performance for varying electrical input conditions and fluid bias pressures. The peak output velocity obtained was 330 mm/s while the blocked force was 63 N. The maximum volume flow rate obtained with the PMN-based actuator was more than double that obtained from the Terfenol-D-based actuator. Theoretical modeling of the dynamics of the coupled structural-hydraulic system is extremely complex and several models have been proposed earlier. At high pumping frequencies, the fluid inertia dominates the viscous effects and the problem becomes unsteady in nature. Due to high pressures inside the actuator and the presence of entrained air, compressibility of the hydraulic fluid is important. A new mathematical model of the hydraulic hybrid actuator was formulated in time-domain to show the basic operational principle under varying operating conditions and to capture the phenomena affecting system performance. Linear induced strain behavior was assumed to model the active material. Governing equations for the moving parts were obtained from force equilibrium considerations, while the coupled inertia-compliance of the fluid passages was represented by a lumped parameter approach to the transmission line model, giving rise to strongly coupled ordinary differential equations. Compressibility of the working fluid was incorporated by using the bulk modulus. The model was then validated using the measured performance of both the magnetostrictive and electrostrictive-based hybrid actuators.Item Development of a Magneto-Rheological Fluid Based Actuation System(2007-05-09) John, Shaju; Wereley, Norman M; Aerospace Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)A hybrid hydraulic actuation system is proposed as an active pitch link for rotorcraft applications. Such an active pitch link can be used to implement Individual Blade Control (IBC) techniques for vibration and noise reduction, in addition to providing primary control for the helicopter. Conventional technologies like electric motors and hydraulic actuators have major disadvantages when it come to applications on a rotating environment. Centralized hydraulic system require the use of mechanically complex hydraulic slip rings and electric motors have high precision mechanical moving parts that make them unattractive in application with high centrifugal load. The high energy density of smart materials can be used to design hydraulic actuators in a compact package. MagnetoRheological (MR) fluids can be used as the working fluid in such a hybrid hydraulic actuation system to implement a valving system with no moving parts. Thus, such an actuation system can be theoretically well-suited for application in a rotating environment. To develop an actuation system based on an active material stack and MR fluidic valves, a fundamental understanding of the hydraulic circuit is essential. In order to address this issue, a theoretical model was developed to understand the effect of pumping chamber geometry on the pressure losses in the pumping chamber. Three dimensional analytical models were developed for steady and unsteady flow and the results were correlated to results obtained from Computation Fluid Dynamic simulation of fluid flow inside the pumping chamber. Fundamental understanding regarding the pressure losses in a pumping chamber are obtained from the modeling process. Vortices that form in the pumping chamber (during intake) and the discharge tube (during discharge) are identified as a major cause of pressure loss in the chamber. The role of vortices during dynamic operation is also captured through a frequency domain model. Extensive experimental studies were conducted on a hybrid hydraulic system driven by a pump (actuated by a 2" long and 1/4" diameter Terfenol-D rod) and a Wheatstone bridge network of MR fluidic valves. The Wheatstone bridge network is used to provide bi-directionality to the load. Through a variety of experimental studies, the main performance metrics of the actuation system, like output power, blocked force, maximum no-load velocity and efficiency, are obtained. The actuation system exhibits a blocked force of 30 N and a maximum no-load velocity of 50 mm/s. Extensive bi-directional tests were also done for cases of no-load, inertial load and spring load to establish the frequency bandwidth of the actuator. The actuation system can output a stroke of 9 mm at an output actuator frequency of 4 Hz. An analytical model was developed to predict the performance of the hybrid hydraulic actuation system. A state space representation of the system was derived using equations derived from the control volume considerations. The results of the analytical model show that the model predicts the frequency peak of the system to within 20 Hz of the actual resonance frequency. In the third part of this dissertation, the effectiveness of the hybrid hydraulic actuation system is evaluated in a rotating environment. A piezoelectric stack that is driven by three PI-804.10 stacks was attached at the end of a spin bar. After balancing the spin bar using a counterweight, the spin bar is spun to an RPM of 300. This simulates a centrifugal loading of 400 g, which is slightly higher than the full-scale centrifugal loads experienced by a pitch link on a UH-60. The performance of the actuator was measured in terms of velocity of an output cylinder shaft. Since some deterioration of performance was expected at 300 RPM, the output cylinder was redesigned to include roller bearings to support the excess force. Through no load and load tests, the effectiveness of the current hybrid actuation system design was shown as the performance of the system did not deteriorate in performance with greater centrifugal acceleration.