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Thus, the methodology enabled a useful statistical evaluation and can contribute to decision-making regarding the parameters of interest in the jigging process.
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The presented methodology enables a parametric design approach.
The methodology enables a "dual use" smart structure one that can be used for both vibration suppression and damage detection.
The methodology enables a detailed analysis of retrofit options for the building envelope and its energy supply system.
The developed methodology enables a new fabrication of porous metal oxides with applications in electro-catalysis, optical and electrochemical devices.
The methodology enables a rigorous determination of the uncertainty in the inference of the source parameters (e.g., location, emission rate).
In this article, we propose an extension to this methodology, enabling a local estimation of variance of relevant process parameters using sample data.
The developed methodology enables a new fabrication of hierarchical hollow metal oxides with applications in electro-catalysis, optical and electrochemical devices.
Moreover, this methodology enables a coherent design quality, short design period, low development cost, and short time-to-market for complex industrial applications.
The hierarchical layout and the iterative design methodology enable a certain level of design flexibility for the overall system and preparation for various contingencies, as illustrated on specific development cycles.
The methodology enables a quantitative and systematic analysis, conducts iterative and accurate calculation realized in MATLAB, and finally leads to an optimized ADC design that reaches a guaranteed optimum full-chip performance with given specs (i.e., resolution, speed, input range, power, input CM, etc).
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