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Showing 1 to 20 of 175 for “"Parametric model"”.
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A quantitative, parametric model of musical tension
This thesis presents a quantitative, parametric model for describing musical tension. While the phenomenon of tension is evident to listeners, it is difficult to formalize due to its subjective and multi-dimensional nature. The model is therefore derived from empirical data. Two experiments with …
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A parametric model for rapid analysis of automotive joints
… parameters (mass of the joint) using a parametric model and structural analysis software. A parametric model is a solid or surface model defined by a set of parameters that specify the dimensions and topology of the design. When the user changes the values of the parameters, the model …
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Efficient 𝐻₂-Based Parametric Model Reduction via Greedy Search
Dynamical systems are mathematical models of physical phenomena widely used throughout the world today. When a dynamical system is too large to effectively use, we turn to model reduction to obtain a smaller dynamical system that preserves the behavior of the original. In many cases these models …
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Analysis of parametric model signal processing techniques for signature analysis
Five parametric modeling techniques have been identified to be possible alternatives to the Fast Fourier Transform (FFT) for signature analyses involving short data records. The developments in signal processing that have lead to these techniques are reviewed. Mathematical definitions for …
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Parametric Model for Assessing Factors that Influence Highway Bridge Service Life
… work, this research develops a new approach to model infrastructure performance and assess factors that influence the remaining service life of highway bridges. Key parameters that impact the serviceability of highway bridges are identified and incorporated into a system dynamics model. This …
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FITTING A PARAMETRIC MODEL TO A CLOUD OF POINTS VIA OPTIMIZATION METHODS
… (CAD) is a powerful tool for designing</p> <p> parametric geometry. However, many CAD models of current</p> <p> configurations are constructed in previous generations of CAD</p> <p> systems, which represent the configuration simply as a collection of</p> <p> surfaces instead of as a parametrized …
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On the Growth Rate of Turbulent Mixing Layers: A New Parametric Model
<p>A new parametric model for the growth rate of turbulent mixing layers is proposed. A database of experimental and numerical mixing layer studies was extracted from the literature to support this effort. The domain of the model was limited to planar, spatial, nonreacting, free shear layers that …
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A Parametric Model for Predicting Submarine Dynamic Stability in Early Stage Design
… tools, GEORGE and CEBAXI and LA_57, were used to model a submarine, calculate its hydrodynamic coefficients, and determine its stability in the horizontal and vertical plane. GEORGE was developed and used heavily at Naval Coastal Systems Laboratory (NSWCPC) in Panama City, FL and the CEBAXI and …
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A parametric model for reducing the manufacturing cost of the traveling wave tube
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1995.
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Photon-limited time of flight depth acquisition : new parametric model and its analysis
… depth. Using that framework, we propose a richer parametric model than the model being used in existing technologies. We use the maximum likelihood algorithm with our proposed model on simulated data to estimate the depth parameters of the scene. The simulation results show a uniformly better …
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Data-Driven, Non-Parametric Model Reference Adaptive Control Methods for Autonomous Underwater Vehicles
… from the standard six degree-of-freedom dynamic model. I apply two model reference adaptive control (MRAC) algorithms which make use of kernel functions for learning functional uncertainty present in the system dynamics. The first method extends recent results on model reference adaptive control …
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Parametric model order reduction development for Navier-Stokes equations from 2D chaotic to 3D turbulent flow problems
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Statistical model on student performance in UTHM by using non-parametric, semi-parametric and parametric survival analysis
… performance, investigate the performance of Cox model based on the violation of the Proportional Hazard (PH) assumption, compare the model performance by using the survival and Accelerated Failure Time (AFT) models and estimate the time ratio (TR) of student performance in accordance to the …
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Approaches to the measurement of efficiency in a dynamic context: with an application to the UK banking sector
… index and, second, the estimation of a parametric model. The implementation of both approaches require extensions to the existing theory. In developing the cost efficiency index approach we suggest that the Tornqvist index can be extended to be "exact and superlative" (Diewert (1976)), …
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Minimum description complexity
The classical problem of model selection among parametric model sets is considered. The goal is to choose a model set which best represents observed data. The critical task is the choice of a criterion for model set comparison. Pioneer information theoretic based approaches to this problem are …
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Modeling recovery curves for prostate cancer
… forms of prostate cancer treatment. I propose a parametric model for those function level time series and show promise that the method can be applied to both simulated and real data.
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Model robust regression: combining parametric, nonparametric, and semiparametric methods
… least squares regression depends directly on the parametric model formulated by the researcher. If this model is incorrect, a least squares analysis may be misleading. Alternatively, nonparametric regression (kernel or local polynomial regression, for example) has no dependence on an underlying …
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Model Robust Regression Based on Generalized Estimating Equations
One form of model robust regression (MRR) predicts mean response as a convex combination of a parametric and a nonparametric prediction. MRR is a semiparametric method by which an incompletely or an incorrectly specified parametric model can be improved through adding an appropriate amount of a …
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Versão COPPE do TWM para simulação em bacias hidrográficas com solos residuais
This report is concerned about a parametric model for hydrological simulation of hydrografic basins wih residual soils, based on SWM IV e TWM. The model makes total discharges simulation for any interval of time so as its components and evapotranspiration, starting from rainfall data and soil …
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The thermal performance of fixed and variable selective transmitters in commercial architecture
A parametric model is developed for use in evaluating the relative thermal and lighting performance of a variety of existing and proposed types of commercial glazing materials. The glazing materials considered are divided into three general categories: (a) traditional glass of both clear and …
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