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Traditionally, state-encoding strategies targeting minimization of area, dynamic power or a combination of them have been utilized in finite state machine (FSM) synthesis.
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Thermal characterization of the micro-hotplates shows that significant reduction in power consumption can be achieved by optimization of micro-hotplate design, while at the same time minimization of device area is possible.
In the second step, the minimization of special areas on the diagram, corresponding to the so called "unused" and "excess" exergies, combined with the maximization of desorption temperature to its upper level makes it possible to target the maximum energy performance and COP of the future ideal process ahead of design.
These features are directly opposed to the needs of an immune response that favors minimization of surface areas and robust design of the epithelia.
The minimization of the collecting area, which means maximum exergetic efficiency, is the optimization goal in every case.
The multi-objective formulation accounts for minimization of the chiller area as well as the environmental impact associated with the operation of the absorption cycle.
These applica- tions require real time processing along with minimization of power and area, only custom VLSI implementations can be adopted for this fulfillment.
Minimization of heat exchanger area for a specified capacity is very important in the design of refrigeration and heat pump systems, yielding space, weight and cost benefits.
In the optimization part, a multi-objective optimization is performed by setting as goals the minimization of the collector area, of the fuel consumption and of the inversed electricity production.
The optimization is driven by the minimization of required hardware area, the imposed execution time and the necessary power consumption of the final implementation, and yet avoiding hot spots.
Using a simplified mathematical model to describe the separation process, the optimization problem focused on the minimization of the membrane area (main capital cost of this technology) needed to reach the desired purification level.
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CEO of Professional Science Editing for Scientists @ prosciediting.com