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Record W1546957276

Design of double layered metamaterial antenna

2009· article· en· W1546957276 on OpenAlexaff
Hany E. Abd El‐Raouf, Sulaiman Syed Zaheer, Yahia M. M. Antar

Bibliographic record

VenueEuropean Conference on Antennas and Propagation · 2009
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsMetamaterialPatch antennaAntenna (radio)Coaxial antennaMetamaterial antennaMonopole antennaGround planeAntenna factorAntenna efficiencyPhysicsAntenna measurementOpticsMicrostrip antennaOptoelectronicsTelecommunicationsComputer science
DOInot available

Abstract

fetched live from OpenAlex

In this paper, a new design of metamaterial antenna based on the Composite Right/Left-Handed (CRLH) Transmission Line (TL) model is presented. The antenna is developed by using two layers of CRLH mushroom structure. The second layer of the CRLH is used to reduce the reactance of the small antenna and improve the matching between the antenna and the feed line. The size of the patch is λ0/13 × λ0/13, while the total electrical size of the antenna (including the substrate and the ground plane) at the zeroth order is 0.343λ 0 × 0.294λ 0 × 0.062λ 0 , where λ0 is the free space wavelength. The results show that the total efficiency of the antenna has been increased from 35% to 58% (in the case of double layer CRLH).

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: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.041
GPT teacher head0.231
Teacher spread0.189 · 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
GenreMethods

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
Published2009
Admission routes1
Has abstractyes

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