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We find that Xdisp orders have a total of 9% as much flux as the primary order, vs. the 11% that would be expected based on a simple model using measured support-structure parameters.
A regression model using measured COF as the dependent variable and tread groove width, groove orientation, footwear material, floor, and contamination conditions as independent variables was established.
A frequent requirement in computer aided design and manufacture is to update or refine an existing CAD model using measured data.
Third, a quasi-linear method is applied to a 1/2 car model, using measured data of a typical hydraulic engine mount, to see the effect of excitation amplitude-dependent dynamic stiffnesses.
A more effective way is to choose a typical indoor scenario (primary scenario), calibrate the model using measured data to obtain a "universal" set of materials as a result of optimisation process.
However, by constraining the model using measured NO X concentrations, and effectively isolating the chemical scheme we have shown the model to be able to predict the hourly NO2 very well close to roads, despite its simplicity.
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Second, validation of the models using measured data from the existing building control system.
The direct model updating method is generally utilized to correct and update mass and stiffness matrices of theoretical models using measured modal parameters.
When models used measured L the other parameters were retrieved with minimal bias.
In addition to these inputs, all models used measured or simulated discharges from the previous days with a specified delay.
Another common approach is to run the HMM learning multiple times with varying state numbers and identify the best fitting model using measures such as the Bayesian Information Criterion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com