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This has been an integral consideration in devising pragmatic and potentially implementable design standards.
Figure 8 A block diagram describing an implementable design of the GLRT detector.
We focus on a practically implementable design with robustness to model uncertainties and disturbances.
An easily implementable design algorithm summarizes the methodology presented in the paper.
Our theoretical contributions lie in the following aspects: (1) identifying implementable design parameters through a zigzagging decomposition process, (2) quantifying the relationship between design parameters and system economics using rigorous models, (3) aligning individual interest by decoupling the design matrix using the Independence Axiom.
Easily implementable design papers were summarised descriptively and grouped as per their primary design category, with the detailed narratives for each paper forming the basis of the phase II trial design library.
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Meeting the scientific objectives of understanding the light-evoked behaviors of D. melanogaster, especially the synchronization of its endogenous clock to light-dark cycles and following the implemented conceptual design and mockups (Gray layer), we constructed the implementable designs of DroLIGHT.
Implementable designs (use case, database, dataflow, work flow, system sequence, class and components) were then drawn based on the finalized functional requirements, the most suitable technologies (both software and hardware) were chosen, comprehensive prototype development was performed and the end product was successfully deployed and tested in-house.
Additionally, the dynamic simulation results under parametric uncertainty and disturbances are also used to estimate the bound of the state perturbations rather than assumptions based on experience, which may lead to overly conservative or non-implementable design.
In order to illustrate the real-world implementable optimal design approach for designing an optimal tuned impact damper system attached to practical complex structures, a reduced-order data-driven physical model is developed by using the response data specifically from finite element model and the optimization-based parameter identification algorithm.
In order to improve the outcome efficiency, we propose an easily implementable mechanism design whereby the server randomly drops packets with a probability that is a function of the total arrival rate.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com