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 70 for “"adaptive sampling"”.
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Query-driven adaptive sampling
… develop a single approach for a broad range of adaptive sampling missions with risk and limited prior knowledge. To achieve this, we present contributions in planning adaptive missions in service of queries, and modeling multi-attribute environments. First, we define a query language suitable …
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Query-Driven Adaptive Sampling
… develop a single approach for a broad range of adaptive sampling missions with risk and limited prior knowledge. To achieve this, we present contributions in planning adaptive missions in service of queries, and modeling multi-attribute environments. First, we define a query language suitable …
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Adaptive sampling in autonomous marine sensor networks
… thesis, an innovative architecture for real-time adaptive and cooperative control of autonomous sensor platforms in a marine sensor network is described in the context of the autonomous oceanographic network scenario. This architecture has three major components, an intelligent, logical sensor …
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Adaptive sampling for multiscale environmental sensor networks
… both temporally and spatially. Without effective sampling logic, these powerful tools can produce an overwhelming quantity of data that may not capture the most valuable information for scientific discovery. To address this issue, this research expands the definition of a “hot moment”, a term …
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Adaptive sampling in autonomous marine sensor networks
… thesis, an innovative architecture for real-time adaptive and cooperative control of autonomous sensor platforms in a marine sensor network is described in the context of the autonomous oceanographic network scenario. This architecture has three major components, an intelligent, logical sensor …
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Adaptive Sampling Line Search for Simulation Optimization
… SO algorithms by determining the sample size adaptively as a trade-off between the error due to estimation and the optimization error, that is, the algorithm expends simulation effort proportional to the quality of the incumbent solution. We also show that ADALINE converges ``almost surely'' …
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Adaptive sampling and forecasting with mobile sensor networks
This thesis addresses planning of mobile sensor networks to extract the best information possible out of the environment to improve the (ensemble) forecast at some verification region in the future. To define the information reward associated with sensing paths, the mutual information is adopted to …
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Adaptive sampling for spatial prediction in wireless sensor networks
… determining the number of sensors and their sampling locations which minimize the uncertainty of predictions. Therefore, the aim of this thesis is to present novel, efficient and practically feasible approaches to sample the environments, so that the uncertainties at unobserved locations are …
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Path planning of Autonomous Underwater Vehicles for adaptive sampling
… planning of Autonomous Underwater Vehicles for adaptive sampling. The problem is approached in an optimization framework and two methods are developed to solve it based on Mixed Integer Programming (MIP). The first method is predicated on network-flow ideas and is shown to have similarities to …
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Path planning and adaptive sampling in the coastal ocean
… for optimal path planning and optimal sampling using collaborative swarms of autonomous mobile platforms. The application focus is the coastal ocean where currents can be much larger than platform speeds, but the fundamental results also apply to other dynamic environments. We first …
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Adaptive sampling of transient environmental phenomena with autonomous mobile platforms
… Encoding their insight onto a vehicle to enable adaptive sampling behaviors can broadly increase the utility of mobile platforms in the sciences. This thesis presents three field campaigns conducted with a human-piloted marine surface vehicle, the ChemYak, to study the greenhouse gases methane …
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Adaptive sampling of transient environmental phenomena with autonomous mobile platforms
In the environmental and earth sciences, hypotheses about transient phenomena have been universally investigated by collecting physical sample materials and performing ex situ analysis. Although the gold standard, logistical challenges limit the overall efficacy: the number of samples are limited …
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Framework for multi-vehicle adaptive sampling of jets and plumes in coastal zones
This thesis presents a framework for the sampling of thermal and effluent jets and plumes using multiple autonomous surface vehicles. The framework was developed with the goal of achieving rapid and accurate in-situ measurement and characterization of these features. The framework is presented as a …
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Adaptive sampling trust-region methods for derivative-based and derivative-free simulation optimization problems
… Carlo simulation. We propose ASTRO, which is an adaptive sampling based trust-region optimization method where a stochastic local model is constructed, optimized, and updated iteratively. ASTRO is a derivative-based algorithm and provides almost sure convergence to a first-order critical point …
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A sequential adaptive sampling technique based on a local linear model for computer experiment applications
… is to develop a model independent sequential adaptive sampling technique for surrogate model (SM) applications based on a local linear model. This technique, called Nearest Neighbors Adaptive Sampling (NNAS), is conceived to be conceptually simple, computationally robust, and easy to apply, …
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Data Driven Surrogate Models for Faster SPICE Simulation of Power Supply Circuits
… We explore a variety of surrogate modeling and adaptive sampling techniques on low-dimensional functions, showing that adaptive sampling improves surrogate prediction accuracy compared to space-filling sampling. We implement a deep feed-forward artificial neural network (ANN) surrogate for the …
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Automated feature extraction in oceanographic visualization
… for effective ocean prediction to employ adaptive sampling to best utilize the available sensor resources in order to minimize the forecast error. It is important to concentrate measurements to the regions where one can witness features of physical or biological significance in progress. …
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Fair, Robust, and Calibrated Deep Learning with Heavy-Tailed Subgroups
… tradeoff, and we present a novel adaptive sampling algorithm to overcome this tradeoff. Furthermore, we demonstrate that ensemble learning on its own increases the fairness, robustness, and calibration of machine learning models. The adaptive sampling algorithm and ensemble …
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