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Record W2768520125 · doi:10.1109/lawp.2017.2772919

Flexible and Portable Textile-Reflectarray Backed by Frequency Selective Surface

2017· article· en· W2768520125 on OpenAlexaff
Muhammad M. Tahseen, Ahmed A. Kishk

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsWidebandBandwidth (computing)Center frequencyTunable metamaterialsBroadsideGround planeOpticsElectrical conductorSelective surfaceMaterials scienceElectrical engineeringEngineeringComputer scienceAcousticsPhysicsAntenna (radio)TelecommunicationsBand-pass filter

Abstract

fetched live from OpenAlex

A center fed C-band portable and rollable textilereflectarray (TRA) using frequency selective surface (FSS) is presented. The radiating elements are embroidered on the textile samples using conductive thread. The TRA is made of 15 × 15 elements (8.25 × 8.25λ2at 5.8 GHz) for broadside radiations. The embroidered flexible FSS aims to replace the solid ground plane. The element size variation backed by the FSS provides a 330° phase variation, which is adequate to design the TRA. Wideband multilayer stacked circular patches are utilized as a feed for the TRA. The antenna provides a measured 7.3% of 0.5 dB gain bandwidth, -15 dB sidelobe level, -25 dB cross polarization, and 29% maximum aperture efficiency.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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

Citations33
Published2017
Admission routes1
Has abstractyes

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