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We demonstrate our methods using real water infrastructure networks.
We have experimentally verified each of our methods using real scenes.
In Part 2, a method for the estimation of machining times is presented together with results from testing the methods using real components.
We present experimental results highlighting the performance improvements obtained by our methods using real scientific data-analysis applications on multiple parallel and distributed processing configurations (e.g., single symmetric multiprocessor (SMP) machine, cluster of SMP nodes, and a Grid computing configuration).
Interdisciplinary papers and papers that illustrate the application of new and important statistical methods using real data are strongly encouraged.
Therefore, in this study we compared our approach with the other methods using real data rather than simulated data.
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The iterative method using real modes is more efficient than direct frequency response method.
Third, the iterative method using real modes to obtain PSDF matrix is developed based on a harmonic response method.
And we provide numerical simulation results to validate the performance of our method using real backbone network traffic data.
This paper investigates the influence of mode mistuning on the FTR closed-loop control of a MEMS Coriolis vibratory gyroscope (CVG), and proposes a novel tuning method using real time control forces to achieve a mode-matched FTR control.
To study these extreme scenarios with complex behaviors, the research team is investigating virtual reality method using real human subjects to replace the ABS method.
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mode using real
methods using synthetic
methods using different
methods using dynamic
methods using spatial
methods including real
methods using cationic
methods using bearing-only
methods using non-parametric
methods using chaotropic
methods using simulated
methods using pedigree
methods using fixed
methods using meshless
methods using synergistic
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