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Record W4238158236 · doi:10.1201/9781351136822-3

Sierpinski Diamond Fractal Antenna Array Using A Quarter-Wave Feed Network for Wireless Applications

2019· book-chapter· en· W4238158236 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueApple Academic Press eBooks · 2019
Typebook-chapter
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSierpinski triangleFractal antennaFractalQuarter (Canadian coin)WirelessAntenna (radio)DiamondTelecommunicationsElectrical engineeringAcousticsElectronic engineeringComputer sciencePhysicsEngineeringMathematicsDipole antennaGeographyMaterials scienceMathematical analysisCoaxial antenna

Abstract

fetched live from OpenAlex

To achieve wideband/multiband antennas, one technique is by applying fractal shapes into antenna geometry. The design of Sierpinski diamond fractal antenna array with quarter wave feeding technique has been presented in this paper. The antenna is designed and simulated by using HFSS software. FR4 glass epoxy having thickness 1.6 mm with dielectric constant 4.4 is used as a substrate material for the designing of proposed antenna. The different parameters of designed antenna are calculated such as reflection coefficient, voltage standing wave ratio, gain, and radiation pattern. The designed antenna is fabricated and measured using VNA (vector network analyzer). On comparison, it shows that the measured results of fabricated antennas are in good agreement with simulated results.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.033
GPT teacher head0.237
Teacher spread0.204 · 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