Enhancing Decision-Making in Piezoelectric Energy Harvesting Systems through Neutrosophic Logic
in this paper, we introduce a novel decision-making approach of inducing neutrosophic logic in the piezoelectric energy harvesting (PEH) systems to address uncertainty available in the environment. The traditional PEH configurations, in particular the Arduino-controlled ones, generally struggle to p...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-07-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/23Piezoelectric.pdf |
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| Summary: | in this paper, we introduce a novel decision-making approach of inducing neutrosophic logic in the piezoelectric energy harvesting (PEH) systems to address uncertainty available in the environment. The traditional PEH configurations, in particular the Arduino-controlled ones, generally struggle to provide a constant energy output, which is mainly due to the non-deterministic character of stimuli of the environment and to noisy sensor signals. The proposed approach follows a three-valued neutrosophic logic models with truth, indeterminacy, and falsity, that is used for sensor data classification and energy control i.e., to determine the energy to save in desktop environment and to reinforce fault diagnosis ability. Performance characteristics are examined in our experiments and reveal that the proposed approach gains an energy conversion rate rise up to 12– 18% using the statistical nondeterministic models, including the phenomena of varying frequency excitation, the same optimistic efficiency performance is observed. Its improved reliability and versatility make it an applicable solution for the field of real-life IoT devices and self-powered wearable electronics with uncertainty. |
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| ISSN: | 2331-6055 2331-608X |