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Record W2144865384 · doi:10.1049/ip-map:20040813

Two-layer slotted-waveguide antenna array with broad reflection∕gain bandwidth at millimetre-wave frequencies

2004· article· en· W2144865384 on OpenAlexaff
Soon‐Soo Oh, J.-W. Lee, Min‐Kyu Song, Y.-S. Kim

Bibliographic record

VenueIEE Proceedings - Microwaves Antennas and Propagation · 2004
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsStanding wave ratioBandwidth (computing)OpticsWaveguideMillimetre waveSlot antennaSlotted waveguideAntenna feedReflection (computer programming)Antenna gainAntenna arrayPhysicsAntenna (radio)Radiation patternAcousticsAntenna apertureAntenna efficiencyTelecommunicationsComputer scienceMicrostrip antenna

Abstract

fetched live from OpenAlex

A 24×24 slotted-waveguide array antenna is presented in the paper. The subarray concept is introduced to provide a broad reflection and gain bandwidth. A waveguide feed network is proposed to feed equal amplitudes and equal phases to the subarrays; it is composed of two layers, and is thus more compact and simpler than conventional feed networks. The subarray is made up of the feeding waveguide coupling slot, radiating waveguide and radiating slot. The measured reflection bandwidth is 5.5% (VSWR ≤2.0) and 9.5% (VSWR ≤2.7). The antenna gain varies within 2.1 dB over 4 GHz (9.5%). The maximum gain is 33.8 dBi at 41.5 and 42.5 GHz.

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: none
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)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.214
Teacher spread0.199 · 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

Citations40
Published2004
Admission routes1
Has abstractyes

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