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 27 for “"Model Method"”.
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ENHANCING PRE-SERVICE TEACHERS' KNOWLEDGE OF FRACTIONS THROUGH THE MODEL METHOD
… study examined the effects of the (Singapore) Model Method on elementary pre-service teachers' understanding fractions and attitudes toward teaching and learning mathematics. In particular, this study focused on fraction operation concepts in solving word problems. The study involved …
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Case-Mix Adjustment of Adherence Based Pharmacy Quality Indicator Scores
… performance of a classical logistic regression model containing only patient characteristics and a random-effect model including patient characteristics and a pharmacy-specific effect in predicting medication adherence. These models were used to compute three different risk-adjusted scores on …
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Numerical evaluation of wind effects on buildings
… on building surfaces are studied by scale-model experiments in wind tunnels and confirmed by full scale measurements. Such experiments are often expensive and time consuming. Computational wind engineering as a new branch of computational fluid dynamics has been developed recently to …
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An adjoint-based optimization method using the solution of gray-box conservation laws
… can be efficiently solved by the adjoint method, which computes the gradient of the objective to the design variables. Traditionally, the adjoint method has not been able to be implemented in "gray-box" conservation law simulations. In gray-box simulations, the analytical and numerical …
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Comparison of design methods for shear in reinforced concrete beams
There are two basic methods used to analyze and design reinforced concrete members for shear, the American Concrete Institute Code method (used in the United States) and the truss model method (used in different European Codes and in the Canadian Codes). The ACI Code method is a semi-empirical …
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Modeling VOC sorption of building materials and its impact on indoor air quality
… drywall), and to evaluate existing sorption models with experimental data. A small-scale chamber test system has been developed in this study to conduct sorption tests under different environmental conditions. The sorption data collected were analyzed by three different analysis methods: the …
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Characterizing the evolution of porosity and permeability in porous media undergoing pressure solution creep.
… such as porosity and permeability using modeled sphere packs. The effects of varying pressure, temperature, and stress upon these properties are evaluated in numerically derived sphere packs undergoing creep and elastic compaction processes. This thesis will utilize the abilities of the …
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Optimization of slender space trusses utilizing a continuum model
A method for the incorporation of continuum modeling in the optimization of large discrete structures is presented. The use of a continuum model facilitates decomposition of optimization problems and augments the scope and applicability of the multilevel decomposition method. This new concept is …
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Deeply-towed underwater vehicle systems : a verified analytical procedure for creating parameterized dynamic models
… the possibility of utilizing parametric dynamic models in differential equation form, to present a far more tractable controls problem. A learning-model method for generating accurate approximations of this type is used, and the identification process is unique in that an analytically-based model …
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Modular Dynamic Modeling and Development of Micro Autonomous Underwater Vehicle: Lancelet
A dynamic model of AUV suitable for modular parameter estimation and dynamic modeling is established. The empirical methods for the hydrodynamic coefficients and added mass estimation are summarized, and the relationship between hydrodynamic coefficients and hydrodynamic derivatives is derived. A …
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Analysis of Reliability Experiments with Random Blocks and Subsampling
… involving blocks. This dissertation proposes two methods for analyzing reliability experiments with random blocks and subsampling. The first method is a two-stage method which can be implemented in software used by most practitioners, but has some limitations. Therefore, a more rigorous nonlinear …
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Risk prediction models for hip fracture: parametric versus Cox regression
… morbidity, mortality and cost. Risk prediction models can aid clinical decision-making by identifying individuals at risk. Objective: To build risk prediction model for incident hip fracture using Weibull regression and compare this with Cox regression model. Method: The Study of Osteoporosis …
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A comparison of herdmate, iterative, and mixed model sire summaries for type in Holstein cattle
… cow index of herdmates respectively, and a mixed model method. PDTs were calculated using the different methods for 6816 bulls with ten or more daughters. Mean PDT for the herdmate comparison was -.18 while means for the two respective iterative procedures were -.24 and -.19. Mixed model proofs …
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Kai kurios sudėtinio lognormaliojo – apibendrinto Pareto skirstinio savybės /
… Kahadawala Cooray, Malwane M. A. Amanda, „Modeling actuarial data with a composite lognormal – Pareto model“ (Scandinavian Actuarial Journal, 5, pages 321-334) and McNeil Alexander J. „Estimating the tails of loss severity distributions using extreme value theory“ (ASTIN Bulletin, 27, pages …
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On-chip Spiral Inductor/transformer Design And Modeling For Rf Applications
… On the other hand, the in-accurate inductor modeling further limits the optimization process. The on-chip inductor has been an important research topic since it was first proposed in early 1990's. Significant amount of study has been accomplished and reported in literature; whereas some …
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Time-domain Modeling of Light Matter Interactions in Active Plasmonic Metamaterials
… changing media on light propagation, numerous modeling methods have been developed. Among them, due to the nature of transient, nonlinear, and impulsive behavior, the time domain modeling approach is viewed as the most viable method. In this work, we develop a time-domain model (method of …
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Probabilistic engineering analysis and design under time-dependent uncertainty
… issue, new time-dependent reliability analysis methodologies are developed, including the joint upcrossing rate method, the surrogate model method, the global efficient optimization, and the random field approach. For the second research issue, a time-dependent sequential optimization and …
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Genome-Scale Genetics: Lessons from Founder Populations
… by these populations for traditional association methods. Population isolates often contain large amounts of direct and cryptic relatedness that confound baseline assumptions of independence among genotypes and phenotypes and require specialized approaches to account for this sample structure. We …
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Predicting hybrid vehicle fuel economy and emissions with neural network models trained with real world data
Physics-based hybrid vehicle simulation models for fuel economy (FE) exist but are computationally and financially expensive. These models simulate aspects of real-world drive cycles that include the driving environment, thermal management, driver input, and powertrain component behavior. In this …
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Development of image processing algorithms for automatic segmentation and selection of swine postural behaviors used in an interactive environmental control
… need. Previous research has shown that this method possesses the potential to achieve a better interactive environmental control. The challenges from image segmentation and image selection of swine postural behavior for this control scheme require the study reported in this thesis. Image …
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