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Record W2740406056 · doi:10.1049/el.2017.2257

Substrate integrated‐based Fermi‐Dirac multibeam antenna for mmWave applications

2017· article· en· W2740406056 on OpenAlexaff
Shraman Gupta, Zouhair Briqech, A.R. Sebak

Bibliographic record

VenueElectronics Letters · 2017
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsInstitut National de la Recherche ScientifiqueConcordia University
Fundersnot available
KeywordsSubstrate (aquarium)Antenna (radio)Reconfigurable antennaElectronic engineeringDirectional antennaOptoelectronicsComputer scienceDipole antennaMaterials scienceTelecommunicationsEngineeringAntenna efficiencyGeology

Abstract

fetched live from OpenAlex

A multi‐feed Ka‐band sin‐shape corrugation antipodal Fermi‐linear tapered slot antenna subarray is presented. The proposed prototype consists of four antenna elements excited by multimode beamforming network as an efficient method to perform beamforming operation without any use of couplers and phase shifters. It is implemented using substrate integrated waveguide technology. The four‐element subarray has a measured gain of 11.45–13.86 dB along with beam scanning range of 24° and a narrow beamwidth (11.85°–13.05°) over 29–36 GHz. The measured mutual coupling between the four antenna ports is better than – 20 dB over the frequency range 29–36 GHz. The proposed multibeam antenna can be implemented for applications related to target tracking and imaging systems.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.234
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 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

Citations4
Published2017
Admission routes1
Has abstractyes

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