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Record W1597382916

A single-layer antenna-filter-antenna array with polarization rotation characteristic

2014· article· en· W1597382916 on OpenAlexaff
Xi‐Cheng Zhu, Wei Hong, Zhang‐Cheng Hao, Cheng Li, Jianxin Zhuang, Ke Wu

Bibliographic record

VenueAsia-Pacific Microwave Conference · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsPassbandResonatorOpticsTunable metamaterialsMaterials scienceAcousticsAntenna (radio)Band-pass filterElectrical impedancePhysicsEngineeringTelecommunicationsElectrical engineeringMetamaterial
DOInot available

Abstract

fetched live from OpenAlex

A type of frequency selective surface (FSS) using array of single-layer antenna-filter-antenna (AFA) elements is presented in this paper. The periodic element of the proposed FSS is built up by a square substrate integrated waveguide (SIW) cavity resonator with two stepped-impedance resonators (SIRs) orthogonally etched on the its front and back sides. Coupling scheme of the proposed FSS element has been presented in theoretical analysis and applied in the FSS design. As an example, a prototype of the proposed FSS has been designed, fabricated and measured at 35GHz. Both the simulated and measured results demonstrate that the FSS exhibits polarization rotation characteristic, good frequency selectivity and stable frequency response in the passband with a large variation of the incident angle.

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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.208
Teacher spread0.188 · 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
GenreMethods

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

Citations0
Published2014
Admission routes1
Has abstractyes

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