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Record W2159214960 · doi:10.1109/tap.2003.822412

Highly Efficient Unidirectional Twin Arc-Slot Antennas on Electrically Thin Substrates

2004· article· en· W2159214960 on OpenAlexaff
Meide Qiu, George V. Eleftheriades

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2004
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReflector (photography)Slot antennaArc (geometry)Materials scienceOpticsPlanarAntenna (radio)Coupling (piping)Radiation patternGeometryPhysicsComputer scienceTelecommunicationsComposite materialMathematics

Abstract

fetched live from OpenAlex

Unidirectional, highly-efficient planar twin arc-slot antenna elements backed by a reflector are presented. The theoretical radiation efficiency is as high as 99.9%. This high efficiency is achieved because the proposed slot geometry reduces the coupling to the parallel-plate TEM mode effectively in all directions on the substrate plane. A corporate-fed as well as a compact, center-fed, twin arc-slot elements have been implemented and tested. The parallel-plate TEM substrate patterns for a representative twin arc-slot element have been measured and compared with those of a corresponding straight twin-slot element. It was verified that the parallel-plate TEM mode, coupled from the proposed twin arc-slot element is greatly reduced in all directions. The measured gain improvement when a back-reflector is added is found to be about 2.8 dB, further validating this high efficiency. In addition to the high radiation efficiency, the proposed twin arc-slot element is more compact compared to the corresponding, straight, full-wavelength twin-slot element, making it well-suited for two-dimensional antenna arrays.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.724
Threshold uncertainty score0.962

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 head0.011
GPT teacher head0.208
Teacher spread0.197 · 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 designSimulation or modeling
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

Citations22
Published2004
Admission routes1
Has abstractyes

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