MétaCan
Menu
Back to cohort
Record W2320810408 · doi:10.1109/tap.2016.2543804

A High-Gain Single-Feed Dual-Mode Microstrip Disc Radiator

2016· article· en· W2320810408 on OpenAlexaff
Prateek Juyal, L. Shafai

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSuperposition principlePhysicsRadiator (engine cooling)Antenna (radio)MicrostripCoaxialComputer scienceOpticsTelecommunicationsQuantum mechanics

Abstract

fetched live from OpenAlex

A novel high-gain circular microstrip radiator is proposed. The antenna consists of two circular discs, in a stacked configuration, designed to operate in TM11and TM13modes. The patches are designed, so that the resonant frequencies for both modes converge into a single frequency. It is found that by simultaneous excitation of both resonant modes, high gain and low sidelobe level (SLL) can be obtained in the radiation patterns. Excitation is done using a single coaxial feed. The fundamental working principle of the antenna is based on the superposition of radiated far fields of the TM11and TM13modes. At first, through a pattern synthesis, using different far field mode amplitude ratios, it is shown that the substrate dielectric constants can be selected for both layers such that it leads to low SLL. Next, for practical antenna design, the mode excitation, input impedance, and radiation properties of the TM13mode are studied. For sound understanding and explanation, the edge voltage ratio at the aperture and mode amplitude ratio in the far field are calculated and their effects on SLL and peak directivity are discussed. Finally, the measurements results are provided in support of simulations.

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: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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

Citations56
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Transactions on Antennas and PropagationSame topicAdvanced Antenna and Metasurface TechnologiesFrench-language works237,207