MétaCan
Menu
Back to cohort
Record W3010509494 · doi:10.1109/ojap.2020.2979053

A New Corner-Reflector Antenna With Tunable Gain Based on Active Frequency Selective Surfaces

2020· article· en· W3010509494 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Open Journal of Antennas and Propagation · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsReflector (photography)Dipole antennaAntenna gainOpticsAntenna (radio)Radiation patternAntenna measurementReflection coefficientPeriscope antennaCoaxial antennaMaterials scienceOptoelectronicsAcousticsPhysicsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

A new corner-reflector antenna with a tunable gain based on active frequency selective surfaces (AFSSs) is presented. The proposed design comprises a dipole antenna as a source of the electromagnetic (EM) waves, and three reconfigurable AFSS layers of different size arranged at the same side of the dipole. Each screen consists of two AFSS panels that connected in series and rotated towards the feed to form a V-shaped corner reflector. These AFSS layers are mainly used to control the transmission/ reflection characteristics of the proposed antenna. By applying different combinations for ON/OFF states of diodes, the proposed antenna can adjust its gain value. The antenna performance in terms of reflection coefficient, radiation pattern in the H-plane and gain is analyzed at 5.8 GHz. To validate the concept of the proposed antenna, the prototype of the proposed antenna is fabricated and measured. The measured results show a good agreement with the simulated ones.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.564

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 communication0.0000.001
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 head0.025
GPT teacher head0.249
Teacher spread0.224 · 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