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 25 for “"Metamodeling"”.
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Advances in Sobol' Index Estimation: Metamodeling, Multilevel Monte Carlo Metamodeling, and Nested Simulation Techniques
… limitations through advanced techniques based on metamodeling, multilevel Monte Carlo (MLMC) metamodeling, and nested simulation. We develop two joint metamodel-based estimators for Sobol' indices with established asymptotic normality, enabling reliable uncertainty quantification. Our proposed …
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Nonparametric metamodeling for simulation optimization
… sample sizes. In the second part, nonparametric metamodeling techniques are placed in a taxonomy of stochastic search procedures for simulation optimization and a method for their implementation in a knowledge-based system is presented. A sequential design procedure is developed that allows …
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Functional Programming and Metamodeling frameworks for System Design
… defined as a metamodel. EWD is developed using a metamodeling framework GME (Generic Modeling Environment). It allows for automatic design-time syntactic and semantic checks on the models for conformance to their metamodel. Modeling in EWD facilitates saving the model in an XML-based …
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Metamodeling utilizing d-optimal designs as applied to large scale simulations
Includes bibliographical references (pages 127-130).
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Consistency and Uniform Bounds for Heteroscedastic Simulation Metamodeling and Their Applications
Heteroscedastic metamodeling has gained popularity as an effective tool for analyzing and optimizing complex stochastic systems. A heteroscedastic metamodel provides an accurate approximation of the input-output relationship implied by a stochastic simulation experiment whose output is subject to …
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Metamodeling Driven IP Reuse for System-on-chip Integration and Microprocessor Design
… engineering domain. This approach is called metamodeling, which allows creating customized meta-language to describe the syntax and semantics for a modeling domain. It provides a way to create, transform and analyze domain specific languages, which are themselves described by metamodels, and …
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A Dual Metamodeling Perspective for Design and Analysis of Stochastic Simulation Experiments
… the development of stochastic simulation metamodeling methodologies has gained momentum in recent years. A majority of the existing methods, such as stochastic kriging (SK), only focus on efficiently metamodeling the mean response surface implied by a stochastic simulation experiment. As …
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Robust and Data-Efficient Metamodel-Based Approaches for Online Analysis of Time-Dependent Systems
Metamodeling is regarded as a powerful analysis tool to learn the input-output relationship of a system based on a limited amount of data collected when experiments with real systems are costly or impractical. As a popular metamodeling method, Gaussian process regression (GPR), has been …
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Metamodelización y formalismos para la representación del comportamiento
… called NOESIS architecture. We use a metamodeling perspective to disassociate from the particularities of each language or technique. Metamodeling is being increasingly used as a software and method engineering tool, and it has been proven in the literature that the use of a …
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Uncertainty and sensitivity analysis for long-running computer codes : a critical review
… addition, this thesis reviews several existing metamodeling techniques that are intended provide quick-running approximations to the computer models being studied. Because stochastic simulation-based UA and SA rely on a large number (e.g., several thousands) of simulations, metamodels are …
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Automated Metamodel Instance Generation Satisfying Quantitative Constraints
Metamodels are the core of the metamodeling approach and widely used in model driven architecture. The high abstraction level provided by metamodels makes the metamodeling approach popular among software modelers and language designers. However, the metamodeling approach has one big drawback: it …
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An advanced traceability schema as a baseline to improve supporting lifecycle processes
… the methodology. Most of the traceability metamodeling approaches simply provide a predefined set of concepts represented with classes, with no extension mechanisms. For instance, approaches provide extensive predefined sets of traceability items applicable on every project, while the …
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A Design Space Exploration Process for Large Scale, Multi-Objective Computer Simulations
… systems. The new hierarchically partitioned metamodeling scheme, the lumped parameter model (LPM), was developed to address two primary limitations to the current partitioning methods for large scale metamodeling. First the LPM was formulated to negate the need to rely on variable …
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Scientific deep learning for efficient modeling and uncertainty quantification in engineering systems
… deep learning approaches for efficient modeling, metamodeling, and forward and inverse uncertainty quantification in engineering systems. In the first part of the dissertation, we introduce deep learning methods for efficient supervised, semi-supervised, and unsupervised modeling and metamodeling …
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High Fidelity and Efficient Computations of Dynamic Loads for Multidisciplinary Design Optimization of Flexible Transport Aircraft
… loads. The method is based on the Kriging metamodeling technique and the Expected Improvement Function, known formally as the Efficient Global Optimization (EGO) algorithm. Furthermore, different inexpensive metrics, based on the concept of Modal Contribution Factors, are investigated as …
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ADVANCED STATISTICAL ANALYSIS FOR TAIL-END PROBABILITY PREDICTION AND PERFORMANCE RESPONSE CALCULATION OF SEMICONDUCTOR PACKAGING PRODUCTS WITH A LARGE NUMBER OF INPUT VARIABLES
… problems by developing an advanced metamodeling scheme. In the first part, a comprehensive stochastic model is proposed and implemented to predict package-on-package (PoP) stacking yield loss based on non-contact open. The model takes into account all pad locations at the stacking …
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Performance modeling and analysis of parallel processing and low earth orbit satellite communication systems
… presented in Part II is the application of metamodeling to the LEO satellite system environment. The metamodels developed reduce a complex 8-factor packet delay representation to simple, yet accurate, 2 and 3- factor relationships. These metamodel delay relationships are shown to have a …
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A Metamodel based Multiple Criteria Optimization via Simulation Method for Polymer Processing
… order to accomplish this, design of experiments, metamodeling, Data Envelopment Analysis, and Pareto optimality are combined. After first testing the method with well-known multiobjective optimization test problems, it is illustrated with several injection molding case studies. The method is also …
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Exploring teachers' learning: a teacher's experiences integrating scientific modeling in the science classroom
… of modeling related to scientific content or metamodeling. The structure presented in the MoDeLS activities makes sense to her from the pedagogical perspective. This made her inclusion of modeling into the science practices easier. There were complex interactions among learning new CK, new PCK …
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Metamodel-based inverse uncertainty quantification of nuclear reactor simulators under the Bayesian framework
… We applied and extended several advanced metamodeling approaches to nuclear engineering practice to greatly reduce the computational cost. The current research bridges the gap between models and data by solving ``lack of uncertainty information'' issue, as well as providing guidance for …
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