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Record W2150559259 · doi:10.1109/tap.2011.2163775

Pattern Equalization of Circular Patch Antennas Using Different Substrate Permittivities and Ground Plane Sizes

2011· article· en· W2150559259 on OpenAlexaff
Saeed I. Latif, L. Shafai

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2011
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGround planeAzimuthPlane (geometry)PhysicsPolarization (electrochemistry)DielectricGeometryEqualization (audio)OpticsTopology (electrical circuits)Antenna (radio)MathematicsTelecommunicationsComputer scienceOptoelectronicsCombinatoricsChemistry

Abstract

fetched live from OpenAlex

A very unique phenomenon of circular patch antennas (CPA) for obtaining equal E- and H-plane co-polarization patterns, using varying substrate permittivities and ground plane sizes, is investigated in this paper. Pattern equalization is studied for the dominant and the first few higher order modes of the circular patch antenna, using different substrate permittivities (ε <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub> ) for the infinite ground plane case, and also by varying the ground plane sizes for the finite ground plane case. The angular range, at which the E- and H-plane patterns can be made equal, decreases with increased mode numbers. Also, for a given ε <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub> and mode number, there exists a specific ground plane size, which provides nearly equal E- and H-plane co-polarization patterns. For higher order modes, larger ground planes and higher dielectric permittivities are required to obtain pattern equalization with a greater angular range.

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: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.654

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 head0.038
GPT teacher head0.220
Teacher spread0.182 · 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

Citations14
Published2011
Admission routes1
Has abstractyes

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