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 48 for “"linear interpolation"”.
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Comparative analysis of nitrate load estimation techniques in watersheds with different land-use characteristics
… regression models such as LOADEST, WRTDS, linear interpolation, and error minimization techniques over the years. However, there is no consensus in the scientific community on which method or sampling frequency is best suited to different scenarios of water quality data. This analysis …
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Language Modeling for limited-data domains
… partially matched corpora. Instead of simple linear interpolation, we introduce a generalized linear interpolation technique that computes context-dependent mixture weights from features that correlate with the component confidence and relevance for each n-gram context. Since the n-grams from …
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Online trajectory planning for UAVs using mixed integer linear programming
… a improved path planner using mixed-integer linear programming (MILP) to solve a receding horizon optimization problem for unmanned aerial vehicles (UAV's). Using MILP, hard constraints for obstacle and multi-vehicle avoidance as well as an approximation of vehicle dynamics are included into …
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NBA Sleep Tracking Data Imputation
… are evaluated: K-Nearest Neighbors Regression, Linear Interpolation, Linear Regression, and Quadratic Regression. Each technique is applied and evaluated on key sleep metrics such as sleep duration, rMSSD (Root Mean Square of the Successive Differences between Heartbeats), and average heart …
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Development of Novel Cardiac CT Methods
… if fewer views are used. We used triangle based linear interpolation, quadrilateral based linear interpolation and nearest neighbor interpolation to estimate projection data on uniform grid. We performed various weighting based reconstructions. We concluded that the triangle based linear …
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Minimum error tool path generation method and an interpolator design technique for ultra-precision multi-axis CNC machining
… to connect consecutive data points, and uses linear interpolation technique to generate the command signals for positions between machining data points. However, due to the multi-axis simultaneous and coupled translational and rotational movements, the actual machining motion trajectory is a …
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An investigation of speech synthesis parameters
… model. Types (2,3,4) are three varieties of linear predictive coding (LPC) parameters. There are five parts to the investigation: (1) an historical survey of models for speech synthesis and their problems; (2) a formal description of the models and their analytical relationships; (3) an …
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An Absorbed Dose to Water Primary Standard for Ir-192 Brachytherapy
… and 1.602 ± 0.009 μmol J-1 respectively. A log-linear interpolation was conducted based on the two standard beam values to realize the radiation chemical yield at Ir-192 energy of 1.605 ± 0.005 μmol J-1. A PMMA holder was developed for irradiations using an Ir-192 brachytherapy source and a …
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Low-Spurious Analog-to-Digital Conversion Using Multi-Stage Code-Error Calibration
… $\mu$m CMOS. A skip-and-fill algorithm with non-linear interpolation also opens up the possibility of calibrating ADCs in the background synchronously with their normal operations. Interpolation results for the background calibration are compared with the foreground calibration results. The …
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Comparison of Auditory Thresholds Obtained with a Conditioned and an Unconditioned Response
… sound field and thresholds are determined by the Linear Interpolation method. Theoretically, these results provide insight into the sensitivity difference between conditioned and unconditioned responses.
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Tax Accounting Method and Offshore Petroleum Development: A Policy Evaluation Model Employing Royalty Equivalents and Excise Taxes (Oil and Gas, Capital Budgeting, Simulation, Capitalization, Net Present Value)
… develop the reservoir. The basin model employed linear interpolation of the reservoir model data. It specifically dealt with the problem of minimum economic size (MES) and the resulting truncation of discovery frequencies of reservoirs.
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Nonparametric modeling of dependencies for spatial interpolation
Crucial in spatial interpolation of stochastic processes is the determination of the underlying dependency of the data. The dependency can be represented by an underlying covariogram, variogram, or generalized covariogram. Estimating this function in a nonparametric way is the theme of this thesis. …
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Towards a Pan-European property index : methodological opportunities
… construction methods, namely "Stale Appraisal", "Linear Interpolation", and "Repeated Measures Regression", are tested for their accuracy in dealing with infrequent appraisals. Our model is based on a simulation approach, calculating appraised indices from a simulated "true index" of randomly …
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A strong maximum principle for reaction-diffusion systems and a weak convergence scheme for reflected stochastic differential equations by Lawrence Christopher Evans.
… the driving Brownian motion by its N-dyadic linear interpolation. In particular, we can infer geometric properties of the solutions to a Stratonovich reflected SDE from those of the solutions to the approximating reflected SDE.
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Understanding and supporting pricing decisions using multicriteria decision analysis: an application to antique silver in South Africa
… (bisection methods), indirectly (MACBETH and linear interpolation) and with discrete choice experiments. The applicability and advantages of each method is discussed. Additionally, an open source R package to implement the design of discrete choice experiments is created. The multi-attribute …
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Finite element comparison for a geologically motivated benchmark
… much more accurate than elements that only allow linear interpolation of the stresses and displacements between nodes; however the number of nodes required is five times greater. Free-form meshes do not significantly improve the performance of tetrahedra for the models tested, but could be …
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Error Assessment In 3D Computer Vision
… for image motion estimates as a function of (a) interpolation method, (b) sub-pixel motion, (c) intensity noise, (d) contrast, (e) level of uniaxial normal strain and (f) subset size.</p> <p>For one-dimensional translations, excellent agreement is demonstrated between simulations, theoretical …
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MOVEX: interactive design of braced excavations to limit ground movements
… improved by removing several errors and adding a linear interpolation feature which eliminates our earlier problem with jumps in predictions as certain parameter horizons were passed. Finally, the Fortran program was reorganized and comment statements were added to provide a more flowing and …
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Outlier treatments using interolation on Malaysia tourist arrival forecasting: SARIMA and ANN approaches
… regarded as missing values then treated using interpolation method which are Linear Interpolation and Cubic Spline Interpolation methods. In this study, SARIMA model and Artificial Neural Network model were used as forecasting tools using the data before and after outlier treatment. The …
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Development and characterization of methodology and technology for the alignment of fMRI time series
… is performed at sub-voxel accuracy by tri-linear interpolation. A test fMR brain volume in which controlled simulations of rigid-body transformations have been introduced has preliminarily assessed system performance. Further experimentation has been conducted with real fMRI time series. …
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