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Record W2103859250 · doi:10.1109/eucap.2014.6901824

An anisotropic substrate grounded with a tensor impedance sheet for control of guided-waves and application to planar leaky-wave antenna design

2014· article· en· W2103859250 on OpenAlexaff
Symon K. Podilchak, Ladislau Matekovits, 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
KeywordsOpticsAntenna (radio)Surface waveGround planePlanarMicrostripAcousticsPhysicsTelecommunicationsEngineeringComputer science

Abstract

fetched live from OpenAlex

A simple and practical design technique is proposed to control guided-waves on a dielectric substrate. In particular, by introducing longitudinal slots with a transverse and sub-wavelength periodicity in the bottom metallic surface of a dielectric slab, radial surface-wave (SW) fields can be controlled for bound plane-wave propagation. An analysis of this guide is provided were the longitudinal slots for the modified ground plane are modeled by a tensor impedance sheet. Numerical calculations are in agreement with the full-wave simulations were considerations have been made for the structure anisotropy. Routing concepts are further applied to a SW-fed planar leaky-wave antenna (LWA) defined by a transverse array of microstrip lines with periodic width-modulation. Improved realized gain values for the LWA design are observed (more than 2.5 dB) when compared to a conventional ground plane configuration. Our approach for field control can also be applied to new guides and transitions, routing circuits, and other planar structures which operate at microwave and millimeter-wave frequencies.

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: none
Teacher disagreement score0.847
Threshold uncertainty score0.506

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 head0.020
GPT teacher head0.238
Teacher spread0.218 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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