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Journal of Sensors and Sensor Systems An open-access peer-reviewed journal
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A novel experience replay particle swarm optimization algorithm is presented and successfully deployed to improve the optimization performance for reconfigurable analog integrated circuits of industry 4.0. An optimization approach is introduced that relied on THD-based indirect measurement method that varies from the traditional calibration approach. Instead, the proposed calibration methodology optimizes all characteristics of the reconfigurable amplifier at once.
JSSS | Articles | Volume 10, issue 2
J. Sens. Sens. Syst., 10, 193–206, 2021
https://doi.org/10.5194/jsss-10-193-2021

Special issue: Sensors and Measurement Science International SMSI 2020

J. Sens. Sens. Syst., 10, 193–206, 2021
https://doi.org/10.5194/jsss-10-193-2021

Regular research article 10 Aug 2021

Regular research article | 10 Aug 2021

Efficient transient testing procedure using a novel experience replay particle swarm optimizer for THD-based robust design and optimization of self-X sensory electronics in industry 4.0

Qummar Zaman et al.

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Short summary
A novel experience replay particle swarm optimization algorithm is presented and successfully deployed to improve the optimization performance for reconfigurable analog integrated circuits of industry 4.0. An optimization approach is introduced that relied on THD-based indirect measurement method that varies from the traditional calibration approach. Instead, the proposed calibration methodology optimizes all characteristics of the reconfigurable amplifier at once.
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