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Passive design is an approach that can reduce building energy demand by minimizing mechanical systems power consumption.
Specifically, for today's image/video applications and systems, power consumption, memory space occupancy, area cost, and reliability are as important as performance.
According to this estimation, which was confirmed by the regional electrical power distribution office, the cooling systems power consumption in this region accounted for more than 60% of the total power consumption during the peak load period of the year.
Large fractions of today's embedded systems' power consumption can be attributed to the memory subsystem.
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To reduce the system power consumption two main strategies have been adopted.
The mobile operators are thus facing increasing network operational expenses and a high system power consumption.
Heat exchange performance was evaluated by heat exchange per tube depth (QL) and real-time monitoring of system power consumption.
This ensures minimum VRFB system power consumption during charging and maximum power output during discharging which leads to maximum overall VRFB system efficiency.
Furthermore, energy efficient wireless sensor modes running on batteries cannot afford the implementation of cryptography algorithms as such techniques have significant impact on the system power consumption.
In this paper we present a methodology which is aiming to estimate the system power consumption in short time, without simulation.
The IR sub-system components (namely mechanical structure, actuators, power electronic and control logics) are modeled with the level of detail strictly necessary for an accurate prediction of the system power consumption, while assuring efficient computational efforts.
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