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The optimum implementation of a thermoelectric generator (TEG) is investigated.
Identification of these spatial variations and runoff generation mechanisms is needed for optimum implementation of conservation measures.
This work gives an up-to-date description and analysis of worldwide experience of reinjection in geothermal reservoirs to provide guidelines for the optimum implementation of reinjection.
For optimum implementation, this paper develops two optimal design strategies for the synthetic t chart with estimated process mean, by minimizing (i) the average run length (ARL) and (ii) the expected ARL, for deterministic and unknown shift sizes, respectively.
There is need to address shortages in material, human and structural resources to ensure optimum implementation.
There is need to address shortages in material, human and structural resources which have prevented optimum implementation.
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The proposed approach meets the following requirements: less iterations to an optimum solution, distributed implementation, multiple path routing, and per hop error performance.
Much remains unknown regarding patient and family engagement in safety, including the optimum strategy of implementation and whether such an approach is in fact effective.
It is generally known that the implementation of optimum slurry composition is one of the important issues.
Indeed, implementation of optimum detectors may be limited by their complexity, which grows exponentially with the number of potential users.
The procedure for designing an optimum switch requires the implementation of a series of several studies of the switching operation based on related parameters, such as the contrast ratio between the ON and OFF outputs, which is called the switching performance gain (SPG); this parameter is used to optimize the switch via the output width, and the insertion loss is used in the same manner.
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