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High Efficiency and Dual-Band RF Rectifier Circuit for Energy Harvesting Systems

2023· article· en· W4386494889 on OpenAlexaff
Mohammad Mehdi Khodaei, Halim Boutayeb, Larbi Talbi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsRectifier (neural networks)Multi-band devicePrecision rectifierEnergy harvestingElectrical engineeringEnergy conversion efficiencyRadio frequencyMicrostripDual (grammatical number)Electronic engineeringPower (physics)Computer scienceEngineeringVoltagePhysicsPower factorAntenna (radio)

Abstract

fetched live from OpenAlex

This work presents a dual band, high efficiency RF rectifier circuit using dual section microstrip lines as the matching circuit. This dual band rectifier operates at two different frequencies, 0.915GHz and 2.45GHz. Several input powers are applied to the input of this rectifier to confirm that it is suitable for energy harvesting systems. The results indicate that at 0.915 GHz and 2.45 GHz, the power conversion efficiency is 77.3% and 80.2%, respectively, with 15 dBm input power. According to the simulation results, the dual-band RF rectifier circuit has the advantages of being dual-band and highly efficient.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.203
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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