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Record W2062553489 · doi:10.1109/eucap.2014.6901874

Optimization of planar periodic leaky-wave antennas by selective surface-wave suppression

2014· article· en· W2062553489 on OpenAlexaff
Symon K. Podilchak, Paolo Baccarelli, Paolo Burghignoli, Alois P. Freundorfer, Yahia M. M. Antar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsRoyal Military College of CanadaRoyal Ottawa Mental Health CentreQueen's University
Fundersnot available
KeywordsLeaky wave antennaOpticsPlanarGround planeExtremely high frequencySurface wavePhysicsBandwidth (computing)Beam steeringMicrowaveRadiation patternBeam (structure)Antenna (radio)Microstrip antennaTelecommunicationsEngineeringComputer science

Abstract

fetched live from OpenAlex

Planar periodic `bull-eye' leaky-wave antennas are investigated for two-sided frequency beam scanning and broadside radiation at microwave and millimeter-wave frequencies. In particular, the ground plane and the radial configuration of the structures are optimized to support leakage of the fundamental TM mode of the guiding structure in a regime without any other modes, either bound or radiating, while also taking into consideration the TM and TE fields generated by the practical slot source integrated into the bottom ground plane. These design approaches can improve beam scanning quality, reduce reflection losses, minimize cross-polarization levels, and increase antenna gain. In addition, full-wave simulations and antenna measurements are in agreement with the developed Method of Moments dispersion analysis where continuous wide-angle beam scanning is observed over a large radiating bandwidth.

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 score0.741
Threshold uncertainty score0.613

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 head0.013
GPT teacher head0.209
Teacher spread0.196 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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