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Record W2106162008 · doi:10.1109/tap.2007.908851

Metallic Cylindrical EBG Structures With Defects: Directivity Analysis and Design Optimization

2007· article· en· W2106162008 on OpenAlexaff
Halim Boutayeb, Tayeb A. Denidni

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDirectivityFinite-difference time-domain methodOpticsAperture (computer memory)MetamaterialAntenna (radio)AcousticsMaterials scienceFrench hornHorn antennaRadiation patternPhysicsComputer scienceTelecommunicationsSlot antenna

Abstract

fetched live from OpenAlex

An analysis is presented of the directivity and the design optimization of cylindrical electromagnetic band gap (CEBG) structures constituted of metallic wires and with defects. The directivity is studied for different transversal periods, radial periods and numbers of rings. In the proposed configuration, the defects are designed by removing multiple wires, such as to form a horn-shaped aperture inside the periodic structure. From numerical results, obtained with a home-made finite difference time domain (FDTD) code, it is shown that the structures with defects present a directive beam in the stop-bands of the corresponding structures without defects. The radiation characteristics of the CEBG material are compared with those of an equivalent-plane sectoral horn to explain the directivity mechanism. An optimization method is also proposed for minimizing the number of wires. To validate the analysis, an optimized directive antenna with a dipole as an excitation source was fabricated and measured.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.014
GPT teacher head0.226
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 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

Citations22
Published2007
Admission routes1
Has abstractyes

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