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Record W1990917624 · doi:10.1109/icuwb.2015.7324455

High Gain Substrate Integrated Waveguide Resonant Slot Antenna Array for mm-Wave Band Radio

2015· article· en· W1990917624 on OpenAlexaff
Javad Pourahmadazar, Tayeb A. Denidni

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsBandwidth (computing)Antenna gainExtremely high frequencyElectrical impedanceArray gainRadiationSlot antennaMaterials scienceAntenna (radio)Radiation patternHigh-gain antennaAntenna arrayOptoelectronicsOpticsComputer sciencePhysicsElectrical engineeringAntenna efficiencyEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper presents a new high gain longitudinal slot array antenna based on substrate integrated waveguide (SIW) technology for millimeter wave application, which can achieve wide impedance bandwidth. Three prototype with impedance bandwidth lower than -10 dB from 60 to 65 GHz with a minimum 14dBi and maximum 27dBi peak gain are designed. Computed analysis results of the three designed arrays show - 10 dB impedance bandwidths and realized gain of 18%-21dBi (8×8), 10%-22dBi (16×16), 8%-27dBi (32×16), respectively. Each part of the proposed array such as radiation and feed network parts can be optimized independently to increase the final design process. A prototype of array is analyzed in terms of S- parameters and radiation patterns. The simulated results around the frequency of 64-GHz demonstrate the validity of the design.

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: 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)0.0000.000
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 head0.029
GPT teacher head0.216
Teacher spread0.187 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

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