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Record W3197461489 · doi:10.1080/09205071.2021.1970030

2.45 GHz Wi-Fi band operated circularly polarized rectenna for RF energy harvesting in smart city applications

2021· article· en· W3197461489 on OpenAlexaff
Daasari Surender, Md. Ahsan Halimi, Taimoor Khan, Fazal Ahmed Talukdar, Shiban K. Koul, Yahia M. M. Antar

Bibliographic record

VenueJournal of Electromagnetic Waves and Applications · 2021
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsRoyal Military College of CanadaQueen's University
FundersScheme for Promotion of Academic and Research CollaborationMinistry of Education, India
KeywordsRectennaElectrical engineeringVoltage doublerGround planeEnergy harvestingRectifier (neural networks)MicrostripVoltageMiniaturizationOmnidirectional antennaRadiator (engine cooling)PIN diodeAntenna (radio)OptoelectronicsDiodePower (physics)PhysicsOpticsComputer scienceEngineeringVoltage reference

Abstract

fetched live from OpenAlex

This article proposes a single band circularly polarized (CP) rectenna operate at a 2.45 GHz Wi-Fi band, using a hexagonal shape of a microstrip radiator and a voltage doubler rectifier for smart city applications. A partial ground plane embedded with isosceles triangular slot and notch helps in obtaining the desired resonance characteristics with improved antenna performance and reasonable miniaturization. Two crossed-slots, introduced into the radiating patch, yield CP characteristics. Also, the proposed antenna shows an omnidirectional radiational behavior that helps in harvesting RF energy from all of its surroundings. A voltage doubler configuration using the SMS7630-005 LF diode is chosen for designing a rectifier circuit to achieve a maximum conversion efficiency of 65.1% and an output voltage of 1.65 V at an input power of 0 dBm for the load resistance value of 4.1 kΩ which is very much suitable for powering low power sensing devices.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.817
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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 teacher head, 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

Citations41
Published2021
Admission routes1
Has abstractyes

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