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 13 of 13 for “"deterministic modeling"”.
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An investigation of multi-dimensional evolutionary algorithms for virtual reality scenario development
… algorithms are evaluated for this purpose – deterministic modeling, auto-regressive moving average modeling, genetic algorithm modeling, and hidden Markov modeling. Benefits, drawbacks, and trade-offs are evaluated with reference to their suitability for development in a VR environment. The …
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Fast modeling of multi-phase mixture transport in piston/ring/liner system via GAN-augmented progressive modeling
… system and design capacities, we develop a modeling framework for multi-phase macro mixture transport that integrates all length scales, time scales and flow regimes using a hybrid approach combining deterministic modeling and machine learning. This framework considers various mechanical and …
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Array Processing for Mobile Wireless Communication in the 60 GHz Band
… band. Based on measurement campaigns at 60 GHz, deterministic modeling of the channel through ray tracing is proposed. We conduct a site-specific study using ray tracing to model an outdoor and an indoor environment on the Virginia Tech campus. Because arrays are required for antenna gain and …
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Wear modeling with sensitivity to lubricant chemistry
… film formation and removal. This lack of dynamic modeling makes it difficult to predict the effects of wear at the design stage for an engine component or a lubricant formulation. The purpose of this research is to develop a theoretical and numerical framework for modeling the formation and …
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Updated EOR screening criteria and modeling the impacts of water salinity changes on oil recovery
… dataset distribution, incremental recovery and deterministic modeling. LSWF recovery mechanisms are investigated by statistical analysis and numerical solutions. Furthermore, an up-scaled multi-dimensional model is developed for LSWF under various reservoir wetting conditions. Finally, a risk …
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Stochastic modeling and uncertainty quantification in microelectromechanical systems
… by stochastic variables which perturb the deterministic behaviour of the device about the nominal value for which it was designed. The UQ process consists of identifying the relevant uncertain parameters, assigning appropriate stochastic models to them and quantifying their effect on the …
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Development of Remote Sensing Assisted Water Quality Nowcasting and Forecasting Models for Coastal Beaches
A remote sensing assisted water quality modeling framework is developed in this dissertation for nowcasting and forecasting recreational water quality of Holly Beach in Louisiana, USA. The modeling framework is composed of four models/systems: (1) an Artificial Neural Network (ANN) model (Model 1) …
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Dynamic Proton Exchange Membrane Fuel Cell System Synthesis/Design and Operation/Control Optimization under Uncertainty
… requires dynamic system/subsystem/component modeling and a multi-disciplinary approach which results in an integrated set of diverse types of models and highly effective optimization strategies such as decomposition techniques (e.g., Dynamic Iterative Local-Global Optimization: DILGO). In …
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Quantitative Modeling of Water Demand to Support a Continuous Human Presence on Mars
… and continuous human presence. Results from deterministic modeling of water demand showed that the net total water demand for 4, 8, 12, 16, and 20 crew members on a 790-day mission were 38,669 kg, 76,545 kg, 118,069 kg, 151,617 kg, and 193,134 kg, respectively. For each crew size, 63-65 % of …
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Approximate Bayesian Modeling with Embedded Gaussian Processes
… computational techniques. Compared to previous deterministic modeling approaches, our proposed framework leads to improved model fit and decision making capabilities, which we demonstrate through an application to Bayesian inference and experimental design for a large-scale off-shore oil …
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Mechanistic Modeling of Biodiesel Production via Heterogeneous Catalysis
… First, a kinetic study was performed using a deterministic model to develop a suitable kinetic expression; the related parameters were subsequently estimated by numerical techniques. Second, a stochastic model was developed to further confirm the nature of the reaction at the molecular level. …
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THE HYDROLOGIC CONTROL ON SHALLOW LANDSLIDE TRIGGERING: EMPIRICAL AND MONTE CARLO PYSICALLY-BASED APPROACHES
… Carlo approach, that combines stochastic and deterministic modeling approaches, is used to analyze the hydrological control on shallow landslide triggering. In particular, an integrated stochastic rainfall and deterministic landslide simulator has been developed for the purpose. The simulator …
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Population Dynamics of Piping Plovers (Charadrius melodus) on the Missouri River
… a result of predation) than in the other years. Deterministic modeling suggested that engineered habitat significantly increased population growth. Decreased productivity over time and associated predicted negative population growth suggest that the amount of engineered habitat created was …