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.
Results
Showing 1 to 20 of 36 for “"optimal sampling"”.
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Optimal sampling and switching policies for linear stochastic systems
… and transmission of data, the choice of sampling policy is critical. Although most systems determine their sampling instants in advance, for example periodically, this results in unnecessary use of samples if little changes occur between sampling times. Instead, to optimize the …
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Value of soil sampling and optimal sampling density for a variable rate seed application
Grid soil sampling has become one of the most popular and powerful methods to investigate soil characteristics in various crop input application experiments. Based on the recommendations of previous literature, farmers and researchers believe that a single sample per hectare is the optimal sampling …
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Nature's Sensors: Using Plants as an Alternative Monitoring Approach for Subsurface Contamination
Finally, methods to incorporate plant sampling with traditional monitoring techniques were explored at the Argonne phytoremediation site. The impacts on uncertainty estimation and optimal sampling schemes at the site from the inclusion of plant sampling were evaluated. Four methods were compared …
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Adaptive rapid environmental assessment system simulation framework
… will work and be utilized to determine the optimal or sub-optimal sampling strategies. A user's manual for the simulation framework, and specifications of all important C++ classes are included.
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Sampling-based motion planning algorithms for dynamical systems
… proposes efficient approaches for the optimal sampling-based motion planning algorithms, with a strong emphasis on the accommodation of realistic dynamical systems as the subject of motion planning. The main contribution of the dissertation is twofold: advances in general framework for …
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Design of sampling and interpolation systems with applications to medical imaging
… aspects concerning the theory and design of sampling and interpolation systems are investigated in this dissertation. The first investigation is of time-sequential sampling. A novel theory of time-sequential sampling is developed which links time-sequential sampling with generalized …
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Parametric Estimation of the Heston Model under the Indirect Observability Framework
… observation framework.} Moreover, we derive an optimal sampling scheme to construct the realized variance process for approximating the actual variance process such that the requirement of accuracy is balanced with data restrictions or computational costs. The part II of this dissertation …
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The development and analysis of a multi-attribute quality control cost model
… can be expressed as C<sub>T</sub> = E (cost of sampling inspection). E (cost of accepting the lot). E (cost of rejecting and scrapping the lot). E (cost of rejecting and screening the lot). An optimal sampling plan can be obtained by determining the nᵢ and cᵢ, i = 1, 2, …, m, that minimizes …
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Path planning and adaptive sampling in the coastal ocean
… the development of fundamental theories to optimally collect information, learn, collaborate and make decisions under uncertainty while persistently adapting to and utilizing the dynamic environment. To address such pressing needs, this thesis derives governing equations and develops …
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Development and Uncertainty Quantification of Hurricane Surge Response Functions and Sea-Level Rise Adjustments for Coastal Bays
… ten thousand computational hours to complete. Optimal sampling methods that use physics based surge response functions (SRFs), can reduce the required number of simulations. This study extends the development of SRFs to bay interior locations at Panama City, Florida. Mean SRF root-mean-square …
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Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications
… In the first part of this thesis we derive new optimal sampling-complexity tradeoffs for two commonly used processes used to model dependent temporal structures: the autoregressive processes and self-exciting generalized linear models. Our theoretical results successfully recovered the temporal …
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Food Shelf Life: Estimation and Experimental Design
… are usually selected adaptively using ‘staggered sampling.’ Ad-hoc methods based on linear regression have been recommended to estimate shelf life. However, other methods based on maximizing a likelihood (MLE) have been proposed, studied, and used. Both methods assume the Weibull distribution. The …
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On the Foundations of Computation and Sampling for Reconstruction and Approximation
… the linear reconstruction methods: generalized sampling and the parametrized background data weak (PBDW)-method. Moreover, we also analyse their non-linear cousin structured compressed sensing (CS). Finally, we consider deep learning with neural networks, which differs to the ones before in …
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Nonlinear model reduction for uncertainty quantification in large-scale inverse problems : application to nonlinear convection-diffusion-reaction equation
… model-constrained, greedy algorithm for sampling the input parameter space. The nonlinearities in the PDE are represented using a coefficient-function approximation that enables the development of an efficient offline-online computational procedure where the online computational cost is …
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In Support of a Rationally Managed Fishery: Age and Growth in Patagonian Toothfish (<i>Dissostichus eleginoides</i>)
… by inconsistencies in age estimation methods, sampling and sample sizes, and techniques used to derive estimates. I asked the scientific question: how is growth in Patagonian toothfish structured spatially within the Southern Ocean? I developed a multi-stage randomized design to sample fish …
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Analyzing intentions from big data traces of human activities
… stochastic block coordinate descent method with optimal sampling; for optimizing non-strongly convex objectives, we design a stochastic variance reduced alternating direction method of multipliers with the doubling-trick. Inevitably, human activities are human-centric, thus its research can …
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Balancing efficiencies and tradeoffs in epidemiological field studies : evaluating EMG exposure assessment for low back injury risk factors in heavy industry
… for 10 and 2 minute durations to determine the optimal sampling duration. Bias was consistently low, but shorter durations had higher absolute error, percentage error, and limits of agreement. Durations of 4 and 2 hours may be acceptable but those less than 1 hour had large errors. 5) Components …
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Using environmental DNA metabarcoding to monitor fish biodiversity and assess anthropogenic barrier impacts on the river Mersey, UK
… UK. In addition, a fine-scale spatial-temporal sampling approach was employed to investigate changes in fish communities below and above two weirs, from the Mersey estuary to the upper Mersey, in autumn and spring. Atlantic salmon was detected above and below Woolston weir, showing a good degree …
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Parameter estimation for unsaturated flow models
… Sensitivity analysis is used to determine optimal sampling strategy for a one-dimensional ponded infiltration-drainage experiment. The analysis shows that sensitivities are highest, and therefore measurements should be concentrated, in zones where large moisture and pressure head gradients …
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Risk Assessment of Listeria monocytogenes in Ready-to-eat Meat from Plants to Consumption
… the RTE food products and also investigated the optimal sampling and sanitizing program. Results showed that formulation of food products with growth inhibitor has the greatest impact on reducing the risk of L. monocytogenes, followed by the post-processing treatment and sanitation intervention. …
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