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Compact Top-Loaded Quarter-Cylinder Dielectric Resonator Antenna

2025· article· en· W4410482001 on OpenAlexaboutno aff
Gabriel P. Paulena, Juner M. Vieira, Abdou-Halique A. A. Bouari, Edson R. Schlosser, Marcos V. T. Heckler

Bibliographic record

VenueJournal of Microwaves Optoelectronics and Electromagnetic Applications · 2025
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsQuarter (Canadian coin)Dielectric resonator antennaAcousticsCylinderAntenna (radio)ResonatorMaterials scienceDielectricOpticsElectrical engineeringPhysicsEngineeringOptoelectronicsMechanical engineeringGeography

Abstract

fetched live from OpenAlex

Abstract This article presents the design of a top-loaded quartercylinder dielectric resonator antenna (TL-QCDRA). The approach to reduce the antenna dimensions is based on the use of E and H-walls to impose Dirichlet and Neumann boundary conditions to the fields inside the dielectric resonator. The proposed antenna was modeled and optimized with the electromagnetic simulator ANSYS HFSS and was designed to operate at 1.575 GHz (L1- band of the global positioning system - GPS). The excitation is achieved by a coaxial probe along with a series inductor, whichis used to compensate the capacitive input reactance. A prototype was manufactured and measured in an anechoic chamber and good agreement was obtained between numerical and experimental results. In comparison to previously published papers, the proposed design yields higher compactness, which is an important feature for space applications.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.004
GPT teacher head0.215
Teacher spread0.212 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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