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Integrated Multilayer Horn Antenna for Millimeter-Wave Application

2020· article· en· W3133190230 on OpenAlexaff
Syed M. Sifat, Shoukry I. Shams, Ahmed A. Kishk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsConcordia University
Fundersnot available
KeywordsHorn antennaFrench hornMaterials scienceExtremely high frequencyFeed hornBandwidth (computing)Leakage (economics)Radiation patternOptoelectronicsRidgeOpticsAntenna (radio)Slot antennaElectrical engineeringAcousticsEngineeringTelecommunicationsPhysicsPeriscope antennaGeology

Abstract

fetched live from OpenAlex

In this work, a wide band slot antenna with a two-section T-shaped ridge is designed at 30 GHz based on printed ridge gap waveguide technology. Later, to enhance the antenna gain, a multi-layer stepped horn is designed with PCB substrates. The horn results in an overall increase in gain up to 11.5 dBi, and the bandwidth exceeds 26.5% from 26.5-34.6 GHz. The steps walls are realized by metal vias. To control the leakages between the conducting surfaces of the layers, two rows of mushrooms are used around the metal vias to form PEC/PMC parallel-plate waveguides that don't allow for leakage between them. In addition, three rows of mushrooms act as a soft surface around the horn opening to improve the radiation characteristics.

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 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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score0.482

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 communication0.0000.000
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 head0.212
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations10
Published2020
Admission routes1
Has abstractyes

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