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 82 for “"Experiment Design"”.
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Experiment design for systems biology
… We address this by providing methods for designing dynamic stimuli that can distinguish among models with different reaction mechanisms in stimulus-response experiments. We evaluated our method on models of antibody-ligand binding, mitogen-activated protein kinase phosphorylation and …
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Software for psychoacoustic experiment design
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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2.672 experiment design : heat sink fin configurations
… both theoretical calculations and laboratory experiments. Many of the experiments currently in the laboratory have aged and their replacement presents an opportunity for the introduction of a new experiment. In this proposed experiment, students will optimize a heat sink for a certain type of …
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Automating Pareto-Optimal Experiment Design via Efficient Bayesian Optimization
Many science, engineering, and design optimization problems require balancing the trade-offs between several conflicting objectives. The objectives are often blackbox functions whose evaluation requires time-consuming and costly experiments. Multi-objective Bayesian optimization can be used to …
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Large scale C3 systems : experiment design and system improvement
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1986.
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Multi-fold TDEM Experiment Design for Near Surface Conductivity Mapping
… Time Domain Electromagnetics (TDEM) is a novel experimental approach that couples elements of traditional land-based TDEM survey designs to obtain a robust data set. This design inherently accommodates a broad range of possible Earth models through a rich combination of analysis opportunities …
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Multi-fidelity Optimal Trajectory Generation: Optimal Experiment Design for Robot Learning
… This thesis employs methods from optimal experiment design to address these challenges. By quantifying uncertainty and maximizing information gain, the approach aims to safely and efficiently design the real-world experiments required for accurate constraint modeling. In the first chapter, …
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Probabilistic uncertainty quantification and experiment design for nonlinear models: Applications in systems biology
… of the system increases. Similarly, wet-lab experiments to gather information about the biological model of interest are usually strictly constrained by research budget and experimental settings. The choice of experiments/simulations for inference, therefore, needs to be carefully addressed. …
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The XENON100 Dark Matter Experiment: Design, Construction, Calibration and 2010 Search Results with Improved Measurement of the Scintillation Response of Liquid Xenon to Low-Energy Nuclear Recoils
… defined particle physics model. A considerable experimental effort is currently under way to uncover the nature of dark matter. One method of detecting WIMP dark matter is to look for its interactions in terrestrial detectors where it is expected to scatter off nuclei. In 2007, the XENON10 …
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Demonstration of Bayesian inference and Bayesian experimental design in a model film/substrate inference problem
… we implement Bayesian inference and Bayesian experiment design in a model materials science problem. We demonstrate that by observing the behavior of a film deposited on a substrate, certain features of the substrate may be inferred, with quantified uncertainty. We show that Bayesian …
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Methods for compact modeling of process variations in silicon photonics devices
… and are growing in complexity. Silicon photonics designs are evaluated in simulation using similar methods to those used for CMOS transistor and circuit designs; simulation models for common silicon-based photonics structures and devices currently exist and are used to design larger photonic …
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Forced Response System Identification of Full Aero-Engine Rotordynamic Systems
… have surfaced in advanced turbofan engine designs where there are opportunities for dynamical coupling between rotor shafts and support structures, requiring entire system-level assessment. Addressing such vibration challenges relies on knowledge of damping levels in the system, but …
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Practical Algorithms for Modeling Causality to Accelerate Scientific Discovery
… novel hypotheses from data observations, or by designing experiments that maximize success rate. This thesis addresses these problems through pragmatic approaches, designed to model large systems and incorporate rich domain knowledge. These algorithms are applied to use cases in molecular …
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A Phenological Study of Pioneer Corn Hybrids
… software was developed to illustrate experiment results. The main aspects covered in the software included experiment design, data input, storage, display, and analysis. Variations in processes of plant growth such as plant height, leaf area, internode, root growth and soil water …
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Limiting bias from test-control interference in online marketplace experiments
… test-control interference in online marketplace experiments. Using a simulation built on top of scraped Airbnb data, this paper considers the use of experiment designs and ATE estimators from the network interference literature for online marketplace experimentation. I first model the marketplace …
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Sequential Resource Allocation and Applications in Revenue Management
… revenue management, robustness and fairness, and experiment design. On the theoretical side, this thesis advances the study of classical network revenue management, a long-standing challenge in dynamic resource allocation. We introduce the first LP-free algorithm, improving the regret bound from …
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Bombs and ballots : estimating the effect of the Madrid bombings on the March 2004 general elections in Spain
… findings by Montalvo (2006) using a natural experiment design. A non-linear approach using binomial and multinomial logit models is not successful and yields no conclusive indications on how the attacks affected the outcome of the elections.
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Adjoint-accelerated Bayesian inference in thermoacoustics
… Bayesian inference framework to assimilate experimental data into thermoacoustic models. The framework provides four main tools: (i) parameter inference, (ii) uncertainty quantification, (iii) model comparison, and (iv) optimal experiment design. With Bayesian parameter inference, we use …
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You Talkin' To Me? The Effect of Communication Barriers on Trust in Diverse Societies
… the other produced ambiguous results. The experiment design proposed towards the end of the thesis offers a way of resolving this uncertainty.
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You Talkin' To Me? The Effect of Communication Barriers on Trust in Diverse Societies
… the other produced ambiguous results. The experiment design proposed towards the end of the thesis offers a way of resolving this uncertainty.
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