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Record W2274235918 · doi:10.1109/tap.2015.2506724

A Novel High-Gain Printed Antenna Configuration Based on $\text{T}{\text{M}_{12}}$ Mode of Circular Disc

2015· article· en· W2274235918 on OpenAlexaff
Prateek Juyal, L. Shafai

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDirectivityAntenna (radio)PhysicsDielectricGround planeMode (computer interface)Radiation patternBroadsidePlane (geometry)Antenna gainOpticsComputer scienceGeometryTelecommunicationsMathematicsAntenna efficiencyOptoelectronics

Abstract

fetched live from OpenAlex

The fundamental (TM11) mode of a circular patch antenna is generally used for broadside gain applications. However, other TM1mmodes (m = 2,3⋯) also radiate in the broadside direction with high directivities, but are avoided due to the occurrence of sidelobes in the radiation pattern. Here, a simple high-gain disc antenna configuration, using high dielectric constant substrates, operating in the TM12mode, is presented. At first, through an analytical study, it is shown that by selecting an appropriate value of the dielectric constant, both high directivity and low sidelobe level (SLL) can be attained. Next, it is demonstrated that the excitation of adjacent modes can be reduced significantly by a proper selection of feed location. For a practical antenna design, it is also shown that the SLL can be further reduced using a finite ground plane size.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.023
GPT teacher head0.240
Teacher spread0.217 · 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
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

Citations45
Published2015
Admission routes1
Has abstractyes

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