MétaCan
Menu
Back to cohort
Record W2960158262 · doi:10.1109/access.2019.2928242

Analytical Prediction of the Radiation Characteristics of $2\times2$ Ridge Gap Waveguide Slot Antenna Array With Suppressed Grating Lobes at the V-band

2019· article· en· W2960158262 on OpenAlexfundno aff
Hussein Attia

Bibliographic record

VenueIEEE Access · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsnot available
FundersKing Fahd University of Petroleum and MineralsConcordia University
KeywordsGratingHFSSOpticsDirectivityGround planeRadiation patternReciprocity (cultural anthropology)PhysicsAntenna (radio)Slot antennaAcousticsMicrostrip antennaComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

In this paper, the radiation patterns due to magnetic sources embedded in a ground plane in the presence of a partially reflective surface are analytically formulated and calculated. Love's equivalence principle, the transmission-line analogy, and the reciprocity theory are all combined and employed to calculate the far-fields of a four-element (2 × 2) slot array excited by the printed ridge gap waveguide technology operating in the V-band. Since the spacing between the array elements is greater than one wavelength, grating lobes cannot be avoided. Hence, to suppress the grating lobes and enhance the antenna directivity, a dielectric superstrate with the proper properties is utilized. The slot antenna array is operating at 60 GHz for millimeter-wave applications. The obtained results from the proposed analytical formulation agree very well with full-wave numerical simulations obtained from the EM commercial tool HFSS. It is worthwhile to mention that the presented analytical solution is about 30 times faster than its full-wave simulator counterpart.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.276

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 head0.019
GPT teacher head0.240
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 teacher head, 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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueIEEE AccessSame topicAdvanced Antenna and Metasurface TechnologiesFrench-language works237,207