Global ETD Search
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Showing 1 to 16 of 16 for “"Resample"”.
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Statistical analysis of networks with community structure and bootstrap methods for big data
… instead of using blocks we use random weights to resample the data. By allowing the random weights to be dependent, the dependency structure of the data can be preserved in the resamples. We study the theoretical properties of this resampling methods as well as its numerical performance in …
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Physics-Informed Diagnostic and Prognostic Models for Rolling Element Bearings Using Oil Debris Data
… version of the Auxiliary Particle Filter with Resample Move is deployed to estimate the remaining useful life. The paramount significance of this developed model lies in its adaptability to bearings of various sizes. This versatility ensures its applicability across various industrial contexts, …
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An accurate and efficient method for reconstruction of 3D faces from stereo images
… This local error information will be used to resample the reference frame whose vertices' coordinates stack up to be the feature vectors for face fitting. Compared with the previous works, our algorithm can reconstruct the 3D face shape at a speed comparable with that of the fastest algorithm …
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Dynamic Bayesian networks for the classification of spinning discs
… quantitative methods for deciding when to resample, choice of regularization variance, the impact of measurement noise on all of these, and performance over time. A common issue, leading to inaccurate sample-based representations, is the case of relatively low measurement noise combined …
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Wavelet-based multiresolution data representations for scalable distributed GIS services
… wavelet theory. By designing a strategy to resample a terrain surface at subdivision points through the modified Butterfly scheme, we achieve the result: only one wavelet coefficient needs to be stored for each point in the final representation. In contrast to this result, three wavelet …
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Retention of Faculty of Color in Rehabilitation Counselor Education as it Relates to Their Perception of the Academic Climate
… normality, bootstrapping techniques were used to resample the data. A univariate general linear model (GLM) was conducted to determine if the demographic characteristics (self-reported race, ethnicity, gender, country of origin, and tenure status) could predict the employment continuation plans of …
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Causal Inference: Heterogeneous Effects and Non-stationary Environments
… the data non-stationarity by providing a way to resample previous data to match the distribution in the current time period. We demonstrate its effectiveness on the experiment data and conduct sensitivity analysis. Finally, we validate the procedure through experiments on simulated data.
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Towards smooth particle filters for likelihood estimation with multivariate latent variables
… our methods require only a change to the resample operation in the SMC framework without the addition of any extra parameters and can therefore be used for any application in which particle filters are already used. In addition, excepting the optional use of interpolation in the schemes, …
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Survivability in layered networks
… of the polynomial eliminates the need to resample when the cross-layer reliability under different link failure probabilities is assessed. Furthermore, the polynomial expression provides important insight into the connection between the link failure probability, the cross-layer reliability …
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Strategies for Removing Non-stationary Effects in Machine Diagnostics using Model-driven and Artificial Intelligence Techniques
… reference signal of constant frequency to resample the measured vibration signal to the order domain by using the points of the optimal warping path. As the reference signal is built using a constant frequency, it is observed that the application of the FDTW based approach squeezes the …
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Formally justified and modular Bayesian inference for probabilistic programs
… algorithms known in the literature, such as Resample-Move Sequential Monte Carlo, Particle Marginal Metropolis-Hastings, and Sequential Monte Carlo squared. These implementations are very concise, reducing the effort required to produce them and the scope for bugs. On top of that, our modular …
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Identification of an Unsteady Aerodynamic Model up to High Angle of Attack Regime
… systems are built up in digital domain to resample the data at a lower rate without introducing distortions to the signals of interest. Finally linear-phase Finite Impulse Response (FIR) filters are designed by Remez exchange algorithm to extract the aerodynamic characteristics responses to …
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Data-driven and Model-based Bearing Fault Analysis - Wind Turbine Application
… with phase demodulation has been used to resample the time domain signal into angular domain, and estimate the shaft speed, respectively. Speed estimation using phase demodulation has been mainly used for gearbox applications where a reference signal or a shaft harmonic is well defined, …
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An Automated Pipeline for Variability Detection and Classification for the Small Telescopes Installed at the Liverpool Telescope
… of the Liverpool Telescope and therefore resample areas of the sky highly irregularly. The term used for this resampling in astronomy is ‘cadence’. The unusually irregular Skycam cadence places increased strain on the algorithms designed for the detection of periodicity in light curves. …
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Evaluation of Using the Bootstrap Procedure to Estimate the Population Variance
<p>The bootstrap procedure is widely used in nonparametric statistics to generate an empirical sampling distribution from a given sample data set for a statistic of interest. Generally, the results are good for location parameters such as population mean, median, and even for estimating a …
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The U.S. Office of War Information and American public opinion during World War II, 1939-1945
… response to it. The cycle of sample-sell-resample-resell begins anew with the new promotional campaign becoming the new thesis. The Hegelian dialectic applied to ideas—thesis, antithesis, synthesis—also applies here. Franklin Roosevelt’s campaigning against isolationism on radio—the …