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Record W4390789434 · doi:10.1002/mop.34017

A triangular patch array for wireless power transfer

2024· article· en· W4390789434 on OpenAlexaff
Sahereh Sahandabadi, Ali Attaran, Shahpour Alirezaee

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2024
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsWireless power transferTransmitterMicrostrip antennaPatch antennaMicrostripMaximum power transfer theoremPower (physics)AcousticsTopology (electrical circuits)Near and far fieldElectronic engineeringWirelessComputer scienceElectrical engineeringAntenna (radio)OpticsEngineeringPhysicsTelecommunicationsChannel (broadcasting)

Abstract

fetched live from OpenAlex

Abstract In this paper, the radiative near‐field method has been employed to transfer power through a triangular patch microstrip array that had not been used for this application previously. Additionally, the FR4 substrate is utilized to further reduce the system cost. The system comprises two identical array antennas functioning as both transmitter and receiver. Each array consists of four triangular patches with a side length of 38.5 mm and operates at a frequency of 2.4 GHz. The distance between the two arrays is 50 mm, placing the system in the radiative near‐field category of wireless power transfer. This two‐array system enables the evaluation of power transfer efficiency. The system's performance is improved compared to that of a single triangular patch, and it is also studied in terms of changes in distance. As expected, reducing the distance enhances the system's performance. Subsequently, the structure is fabricated, and the measurements validate the simulation results. The simulation and measurement results exhibit good agreement.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.196
Teacher spread0.191 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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