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A Microstrip Patch Antenna with a Star Shaped Slot and a Phase Gradient Metasurface

2022· article· en· W4221082206 on OpenAlexaff
Aakarsh Mekap, Devendra Soni, Pranjal Wadhwa, Dinesh Yadav

Bibliographic record

Venue2022 International Conference for Advancement in Technology (ICONAT) · 2022
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsMicrostrip antennaPatch antennaStar (game theory)MicrostripAntenna (radio)Phase (matter)Computer scienceTelecommunicationsAcousticsPhysicsOpticsAstrophysics

Abstract

fetched live from OpenAlex

In the presented paper, a microstrip patch antenna is proposed which works for K-Band. The antenna works in between 24.334 GHz to 25.982 GHz and the resonant frequency of the antenna is 25.12 GHz. The antenna has the dimensions of 14 mm X 20 mm. The presented antenna portrays a parametric enhancement technique known as Phase Gradient Metasurface. The metasurface used in the presented antenna is made of material Rogers RT 6010LM and this technique helped in increasing the gain from 5.606 dBi to 9.410 dBi. Furthermore, the presented antenna shows high efficiency of 90%. In addition to this, the presented antenna has a star shaped slot which helped in getting good S-Parametric result.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.260
Teacher spread0.241 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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