Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 90 for “"MRF"”.
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In-Depth Study of Different Magnetorheological Fluid Properties Under Different Operating Parameters, and in Presence of Organic Additives
… magnetic field makes magnetorheological fluids (MRFs) a valuable material for various damping systems. As MRFs form chains, MRFs transit from a liquid state to a solid-like state exhibiting an increase in viscosity. Since MRF discovery, commercialization, and enhancement of MRF performance in …
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Ultra-high field (7T) magnetic resonance fingerprinting
… adapt for 7T. Magnetic Resonance Fingerprinting (MRF) is an alternative model-based technique to quantify multiple tissue properties after a single scan. MRF was initially created for clinical (1.5T and 3T) MRI scanners, where it has been widely applied to map T1, T2 and other parameters. MRF is …
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The midbrain reticular formation in flexible visual decision-making
… the midbrain, the midbrain reticular formation (MRF), contains similar task activity patterns to well-established decision regions and connects extensively with them. Open questions include whether the task dynamics in MRF reflect motor processing versus abstract task rules as well as how …
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Multiparametric Estimation of Brain Hemodynamics with MR Fingerprinting ASL
… concept of magnetic resonance fingerprinting (MRF) was incorporated into the framework of ASL technique, and a novel sequence, MRF-ASL, was proposed. It is a promising alternative technique in cerebrovascular patients who cannot receive contrast agent based MRI perfusion. This thesis consists …
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The role of Dietary Interventions in Broiler Intestinal Health and Immunity
… of diet with each mannan-rich fraction (MRF) increased villus height and villus surface area. In addition, crypt depth was increased upon dietary inclusion of naturally-derived additives. Dietary inclusion of mannan rich fraction (MRF) supplements (supplements 1 to 3) enhanced goblet cell …
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Maternal Reflective Functioning, Parental Beliefs, and Parenting Stress of Mothers in a Residential Treatment Program
… beliefs [PB], maternal reflective functioning [MRF]) and characteristics interact during the early phase of admission for substance-use treatment. The purpose of this study was to determine whether: (1) mothers of infants or toddlers admitted to a residential treatment program for substance-use …
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Effects of dietary components on antibiotic resistance using mechanistic and plasmid based studies
… that prebiotics such as mannan rich fraction (MRF) improve broiler growth and performance in a similar manner to antibiotic growth promotors. They have also been linked to a reduction in antibiotic resistance gene numbers. It was hypothesised that MRF has the ability to decrease resistance by …
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Computational Reconstruction and Quantification of Aerospace Materials
… on a larger domain. The Markov Random Field (MRF) algorithm is a method of generating statistically similar microstructures for this process. In this work, two key factors of the MRF algorithm are analyzed. The first factor explored is how the base features of the microstructure related to …
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A Graphical Model for the Communications Channel
… that is based on a Gaussian Markov random field (MRF) for the complex channel gains. This graphical model is used to capture the local nature of the statistical dependencies (in time and space) of the channel taps. In order for the MRF model to fit the actual physical channel well, its parameters …
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Magnetic Resonance imaging of tumour biomarkers in ovarian cancer
… MRI and magnetic resonance fingerprinting (MRF) were employed to image ovarian tumours in human subjects. The results of the imaging were compared to semi-quantitative measurements of histology and immunohistochemistry staining of tissue samples. It was found that DKI may predict responders …
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A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation
… The method uses a novel Markov Random Field (MRF) formulation on triplets of corner vertex nodes to model the probability of sets of reflectance parameters for arbitrary reflectance models, given probabilistic surface geometry, camera, illumination, and reflectance image information. In this …
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Development of nitrogen doped resorcinol-formaldehyde gels for carbon capture
… resulting in a Melamine-Resorcinol-Formaldehyde (MRF) gel. Repeatability is crucial to method development and validation was achieved by the preparation of a number of gels using a variety of synthetic conditions and process routes.;There are a number of parameters that can be altered when …
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The Effect of Surface Processing Methods on the Laser Induced Damage Threshold of Fused Silica
… 2. By means of the Magnetorheological Finishing (MRF) method, surface structural defects, i.e. surface and sub-surface damage, are removed because the MRF method is a non-fracture polishing process. 3. Parameter optimisation in the MRF process is done by the Taguchi designing method. This …
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Mdl-Based Band Selection and Adaptive Penalties for Hyperspectral Image Segmentation
All MRF image-segmentation criteria as in Step 3 have spatial-penalty parameters that must be chosen. An adaptive algorithm that chooses the penalty parameters to maximize the pseudo-likelihood (PL) of the current image was developed by Lakshmanan and Derin, but it uses a costly simulated-annealing …
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Advanced spatial information processes: modeling and application
… a two-dimensional discrete Markov Random Field (MRF). The implementation of the recursive algorithm is a form of dynamic programming. The second framework is based on a stochastic relaxation algorithm and Markov-Gibbs Random Fields. The relaxation algorithm constitutes an optimization using …
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Design and optimization of magnetostrictive actuator
… technology and Magneto-Rheologlcal Fluid ("MRF") technology are old "newcomers" coming to the market at high speed. Various industries including the automotive industry are full of potential MS and MRF applications. Magnetostrictive technology and Magneto-Rheological Fluid technology have …
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Lossless Coding of Markov Random Fields with Complex Cliques
The topic of Markov Random Fields (MRFs) has been well studied in the past, and has found practical use in various image processing, and machine learning applications. Where coding is concerned, MRF specific schemes have been largely unexplored. In this thesis, an overview is given of recent …
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Energy-efficient information inference in wireless sensor networks based on graphical modeling
… we develop a pairwise Markov Random Field (MRF) to model the spatial correlations in a sensor network. Our MRF model is first constructed through automatic learning from historical sensed data, by using Iterative Proportional Fitting (IPF). When the MRF model is constructed, Loopy Belief …
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Markov random field modeling of the spatial distribution of proteins on cell membranes
… As a solution, Markov random field (MRF) modeling is proposed to reconstruct the distribution of multiple cell membrane constituents from pair-wise data sets. MRFs are a powerful mathematical formalism for modeling correlations between states associated with neighboring sites in …
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Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT
… a Gaussian-Mixture Markov random filed (GM-MRF) image model that can be used as a very expressive prior model in MBIR for X-ray CT reconstruction. The GM-MRF model is formed by merging individual patch-based Gaussian-mixture models and therefore leads to an expressive MRF model with easily …
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