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The optimisation parameters studied were: the carrier flow rate, the lengths of the sample and reagent loops, and reactor length.
Results demonstrate that the structural layout and the slab thickness are amongst the most important design optimisation parameters.
Optimisation based design is found to depend on proper choice of a model, formulation of objective function and tuning of optimisation parameters.
The optimisation procedures are extensively automated whereby iterative finite element solutions are executed under the control of a software suite containing information on the optimisation parameters, objective functions and constraints.
Furthermore, the proposed strategy utilises the PMV (predicted mean vote) index as a feedback control reference to increase optimisation parameters that provide more flexibility in meeting the thermal comfort sensation.
These studies again used rather simple models with only a few compartments, and both studies employed very simple optimization algorithms, for which the quality of the matching achieved depended completely on the initial values chosen for the optimisation parameters.
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In this work, an innovative real-time power management strategy framework is proposed, including short horizon driving pattern prediction, driving pattern recognition, parameter off-line optimisation, parameter on-line prediction modelling, and power management strategy real-time application.
Significant environmental improvements can often be achieved by integrating environmental properties as an optimisation parameter in product development together with more traditional values such as production costs, functionality, aesthetics etc.
The proposed model was set by choosing the mass transfer coefficient as the unique optimisation parameter, determined by best fitting of the experimental water content data obtained under given conditions in a static dryer.
Then, the second optimisation parameter is the z-binder frequency going from top to bottom "unit-cell size".
In contrast with parameter optimisation, parameter inference computes both the parameter means and their standard deviations (or full posterior distributions), thus yielding important information on the extent to which the data and the model topology constrain the inferred parameter values.
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