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 597 for “"Root Mean"”.
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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 …
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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 …
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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 …
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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 …
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Design and fabrication of force sensing robotic foot utilizing the volumetric displacement of a hyperelastic polymer
… normal forces in the Z-axis up to 80 N with a root mean squared error of 6% but little information about shear forces in the X an Y-axis. The second iteration demonstrates an ability to pick up the presence and direction of shear forces up to 40 N but with a root mean squared error of 70%. This …
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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 …
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Effect of upper stem diameter and errors of measurement on the accuracy of volume equations
… ) were considered jointly, the relative root mean squared error ranged from 1.75% to 10.48% for DBH and total height errors respectively. Upper diameter and merchantable height showed negative bias. A comparison of eight fitted models against the combined variable model revealed a gain in …
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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 …
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Forecasting volatility in Canadian markets
… and Ederington. These errors, reported as the Root Mean Squared Forecast Error (RMSFE), were calculated using in-sample and out-of-sample data. Both static and dynamic forecasts were used. Static forecasts of volatility consistently produced lower forecast errors than dynamic forecasts.
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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 …
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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 …
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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.
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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 …
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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.
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Navigation Control for Autonomous Tractor Guidance
… posture sensors. The field tests showed that the root mean squared (RMS) offset error was less than 0.05 m and the maximum offset error was less than 0.1 m for a straight path at speeds of up to 3 m/s . The RMS offset error was less than 0.1 m and the maximum offset error of 0.2 m for a curved …
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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 …
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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.
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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 …
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Zjednodušování polygonálních sítí a optimalizace vykreslování pomocí technik Level of Detail
… pomocí metrik Hausdorffovy vzdálenosti a RMSE (Root Mean Squared Error). Výsledky prokazují, že nejvyšší geometrickou věrnost původnímu modelu zachovává zjednodušení dle metriky Quadric Error Metrics. Pro vyhodnocení výkonnostního přínosu je v práci navrhnuta zátěžová scéna. Naměřená data …
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An Evaluation of Scaling Methods for Earthquake Response Spectra
… 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 Fourier amplitude.
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