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This paper addresses the minimal cost sensor selection problem for observability in Interpreted Petri Nets (IPN).
In this paper, a strategy is proposed to design a minimal cost sensor network ensuring the observability of complex systems.
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Recently, there has been a surge of interest in using complementary metal-oxide-semiconductor (CMOS -compatible siliCMOS -compatiblecuitsiliconiosensing, with the photonicof producircuitsp-scale integrated devices containing thousands oforrthogonal sensors, at minimal cost on a per-chip biosensing
These image-level metrics are valuable in that they provide an objective assessment of the amount and quality of information from each single sensor that is represented in the composite image for minimal cost.
Strain gauges are used as sensors to meet the requirements of accuracy and sampling rate with a minimal cost, and the design of instrumentation includes data acquisition and processing, layout design and embedded electronic circuit design.
A systematic method to design sensor networks able to identify key process parameters with a required precision at a minimal cost is presented.
"These resolutions help contain those risks at minimal cost.
The structure was designed for both minimal cost and minimal weight.
Then, what strategies are implemented to optimize the cost function at the minimal cost?
Putting legal documents online allows law firms to maximize potential deal flow at minimal cost.
Minimal cost decision tree construction plays a crucial role in cost sensitive learning.
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