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Showing 1 to 20 of 465 for “"root mean square"”.

  1. Application of Precision Successive-approximation-register Analog-to-digital Converters for Digital Root-mean-square Calculation

    … (ADC) technology, a digital approach to root-mean-square (RMS) measurement is proposed. The work begins with an explicit accumulation and averaging approach, and a set of improvements were designed to increase measurement accuracy and reliability. Algorithms are compared using the metrics …

    mit Repository record for Application of Precision Successive-approximation-register Analog-to-digital Converters for Digital Root-mean-square Calculation (opens in a new tab)

  2. Visualizing muscular fatigue during running exercises with electromyography-derived variables.

    … calculated four parameters to detect fatigue: mean frequency, root mean square amplitude, 2nd order Dimitrov spectral index, and fractal dimension. A validation trial with calf raises proved the reliability of these parameters. Results of the running trials showed that both gastrocnemius …

    baylor Repository record for Visualizing muscular fatigue during running exercises with electromyography-derived variables. (opens in a new tab)

  3. Velocity moment analysis on oscillatory flow above self-formed vortex ripples

    … et al. (2006), phase-averaged and time-averaged mean velocities, root-mean-square speeds, turbulent kinetic energy, Reynolds shear stress, and higher order velocity moments including skewness factors, flatness factors, and turbulent diffusion factors were studied for nine different Reynolds …

    uiuc Repository record for Velocity moment analysis on oscillatory flow above self-formed vortex ripples (opens in a new tab)

  4. ENHANCING POLYMER INFORMATICS: A STUDY ON THE IMPACT OF FINGERPRINTING METHODS AND MACHINE LEARNING MODELS

    … PG fingerprinting consistently yielded lower root mean square error (RMSE) and normalized root mean square error (NRMSE) values than Morgan fingerprinting, indicating a more accurate representation of polymer structure. The work demonstrates the significant potential of multi-task learning and …

    cornell Repository record for ENHANCING POLYMER INFORMATICS: A STUDY ON THE IMPACT OF FINGERPRINTING METHODS AND MACHINE LEARNING MODELS (opens in a new tab)

  5. The Modeling of Coagulation Kinetics in Complex Laminar Flow

    … Specifically, the use of Camp and Stein's (1943) root-mean-square velocity-gradient failed account for the spatial variation of strain-rate in the complex flow. The modeling analysis indicates that a more comprehensive technique is required to accurately predict orthokinetic coagulation in a …

    uiuc Repository record for The Modeling of Coagulation Kinetics in Complex Laminar Flow (opens in a new tab)

  6. A case study of weather research and forecasting model over the Midwest USA

    … better temperature (0.35 K decrease in hourly mean bias and 0.26 K decrease in hourly root mean square error), pressure (4.3 Pa decrease in hourly mean bias and 3.91 K decrease in hourly root mean square error) and relative humidity (1.44 % decrease in hourly mean bias and 1.76 % decrease in …

    uiuc Repository record for A case study of weather research and forecasting model over the Midwest USA (opens in a new tab)

  7. Ability Estimation Under Different Item Parameterization and Scoring Models

    … model was assessed by the recovery rate and the root mean square errors. The results indicated that polytomous models produced more accurate ability estimates than the dichotomous models, under all combinations of research conditions, as indicated by higher recovery rates and lower root mean

    unt Repository record for Ability Estimation Under Different Item Parameterization and Scoring Models (opens in a new tab)

  8. Modeling the temperature response of small rivers to land cover changes using satellite-based spatial data

    … Temperature Estimation) had a median validation Root Mean Square Error across gages of about 1.7 K. Building on the outputs from this model as well as validation against paired stream temperature gages, a second machine learning model was developed to predict the relationship between longitudinal …

    colo-mines Repository record for Modeling the temperature response of small rivers to land cover changes using satellite-based spatial data (opens in a new tab)

  9. Effects of random surface errors on the performance of paraboloidal reflectors

    … The average patterns from different surface root-mean-square values are presented for both the co-polarized and cross-polarized fields on the E-plane, H-plane, and 45-degree plane. They are compared with results based on physical optics and the antenna tolerance theory.

    mit Repository record for Effects of random surface errors on the performance of paraboloidal reflectors (opens in a new tab)

  10. A unified approach to the formulation of non-consistent rod and beam mass matrices for improved finite element modal analysis

    … errors. The optimized mass matrices minimize the root mean square errors of natural frequencies over a specified range of modes. The results of using a rod optimized mass matrix show that the root mean square error of natural frequencies for the first half of total extractable modes is reduced …

    vt Repository record for A unified approach to the formulation of non-consistent rod and beam mass matrices for improved finite element modal analysis (opens in a new tab)

  11. Comparison of GPS Point Selection Methods for GIS Area Measurement of Small Jurisdictional Wetlands

    … for area calculation. Analysis of variance and Root Mean Square Error analyses determine that the transect method is an inferior point selection method in terms of accuracy and efficiency.

    unt Repository record for Comparison of GPS Point Selection Methods for GIS Area Measurement of Small Jurisdictional Wetlands (opens in a new tab)

  12. Cyclostationary Random Vibration of a Ship Propeller and a Road Vehicle

    … CS process and calculate the standard deviation (root mean square) of the vehicle response. In the case of the ship propeller, we calculate the hydrodynamic forces acting on the propeller using the vortex panel method and the vortex theory of propeller. Considering the randomness in the axial and …

    vt Repository record for Cyclostationary Random Vibration of a Ship Propeller and a Road Vehicle (opens in a new tab)

  13. An improved model-based observer for inertial navigation for quadrotors with low cost IMUs

    … that our proposed observer achieves lower root mean square error than three other state-of-the-art model-based observers.

    uiuc Repository record for An improved model-based observer for inertial navigation for quadrotors with low cost IMUs (opens in a new tab)

  14. Optical Metamaterials: Design, Characterization and Applications

    … Fabricating a smooth silver superlens (0.6nm root mean square roughness) with 15nm thickness, I demonstrate 30nm imaging resolution or 1/12th of the illumination wavelength (near-ultraviolet), far below the diffraction-limit. Moreover. I have extended subdiffraction imaging to far-field at …

    uiuc Repository record for Optical Metamaterials: Design, Characterization and Applications (opens in a new tab)

  15. An Evaluation of Scaling Methods for Earthquake Response Spectra

    … on ground motion values are the integrals of the squared acceleration, velocity, and displacement, and those quantities derived therefrom, the root-square, mean-square, and root-mean-square motions. Included within the group based on response quantities are the spectrum intensity and the mean

    uiuc Repository record for An Evaluation of Scaling Methods for Earthquake Response Spectra (opens in a new tab)

  16. Imaging and Understanding Atomic-Scale Adhesion and Wear: Quantitative investigations Using in situ TEM

    … tip roughness increased from atomic-scale to a root-mean-square value of 1 nm. Using an existing analytical model, an empirically derived roughness-independent adhesion parameter was extracted. In situ wear tests of silicon on diamond at low load revealed the mechanism of wear to be consistent …

    penn Repository record for Imaging and Understanding Atomic-Scale Adhesion and Wear: Quantitative investigations Using in situ TEM (opens in a new tab)

  17. An optical crosscorrelation technique for turbulent density measurements in flames

    … velocity and, if the flow is isotropic, root mean square density fluctuation, and the two point fluctuating density covariance The envelope of test conditions was as follows: approach flow mean velocity (U) of 20-30 fps; approach flow relative turbulent intensities (u'/U) of 3, .6, or …

    missouri Repository record for An optical crosscorrelation technique for turbulent density measurements in flames (opens in a new tab)

  18. Numerical and Experimental Study of Rock Fracture Creep Under Dry Conditions

    … on Brown’s (1995) model: the Hurst exponent, root mean square roughness, and mismatch length were varied systematically. Then, an in-house numerical code was developed to simulate the visco-elastic deformation of rough fractures. The results indicate that by increasing the Hurst exponent or …

    mit Repository record for Numerical and Experimental Study of Rock Fracture Creep Under Dry Conditions (opens in a new tab)

  19. Data-Driven Models to Enhance Physically-Based Groundwater Model Predictions

    … modeling framework reduced MODFLOW's root-mean-square errors (RMSE) for temporal and spatial head predictions by about 78% and 67%, respectively. The uncertainty analysis techniques also significantly improve the estimated 95% confidence and predictions intervals. The percentage of …

    uiuc Repository record for Data-Driven Models to Enhance Physically-Based Groundwater Model Predictions (opens in a new tab)

  20. A critical analysis of fatigue-crack propagation data for 2024-T3 aluminum.

    … range of cyclic stress ratio. An effective root-mean-square stress was defined which shows indications of good correlation with the magnitude of the crack-growth curves.

    nps Repository record for A critical analysis of fatigue-crack propagation data for 2024-T3 aluminum. (opens in a new tab)

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