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We demonstrate how the peer-it system implements the desired flexibility in automated manufacturing systems to react in the case of changes, whether intended or unexpectedly occuring.
State 1 will only be active again in the case of changes either in the channel availability or in the network topology.
This limits the operational flexibility, in particular in the case of changes of optics and orbit configuration in the experimental regions.
Application to the Marangoni breakup of an axisymmetric droplet shows that the method is robust also in the case of changes in the interface topology.
The proposed architecture permits the rapid system development and has the advantage of flexibility in the case of changes, while it can be easily extended for controlling the RES system operation.
They can be political (in the case of occasionally unexpected disagreements between the communities and the client financing the project), social (in the case of the project being challenged by associations or the public), institutional (in the case of changes to regulations impacting the project), financial (in the case of delays generating an added cost), or technical.
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In this paper, we introduce a Mixed Integer Linear Programming (MILP) based algorithm, which can be efficiently used to improve an existing feasible, but non-optimal, production schedule or to reschedule jobs in the case of changed operational parameters.
In this paper, we introduce a Mixed Integer Linear Programming (MILP) based algorithm, which can be efficiently used to improve an existing feasible, but nonoptimal, production schedule or to reschedule jobs in the case of changed operational parameters.
If multi-temporal images are to be used for quantitative analysis based on their radiometric information, as in the case of change detection or landuse classification, geometric rectification and radiometric correction must be performed priori to subsequent image analyses.
Explanatory ability of the models, in the case of change in WOMAC and SF-12 domains at 12 months, were from 35%to57%7%, apart from SF-12 PCS (R = 0.24).
It can even lead to wrong estimates of expression changes in the case of systematic changes in tissue composition between test conditions.
More suggestions(18)
in the absence of changes
in the development of changes
in the pattern of changes
in the midst of changes
in the nature of changes
in the magnitude of changes
in the event of changes
in the sustainability of changes
in the identification of changes
in the implementation of changes
in the light of changes
in the form of changes
in the face of changes
in the presence of changes
in the detection of changes
in the assessment of changes
in the setting of changes
in the way of changes
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