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Record W2348066465

Simulation Analysis of Symmetrical and Unsymmetrical Shape Left-handed Transmission Lines Based on the Uniplanar Double Spiral Resonators

2011· article· en· W2348066465 on OpenAlexaff
Hai‐Yang Xu

Bibliographic record

VenuePiezoelectrics and Acoustooptics · 2011
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsResonatorHFSSTransmission lineSpiral (railway)Electric power transmissionMiniaturizationTransmission (telecommunications)Phase (matter)OpticsGroup delay and phase delayLine (geometry)Return lossPhysicsAcousticsMaterials scienceGeometryTelecommunicationsComputer scienceEngineeringElectrical engineeringMathematicsMathematical analysisAntenna (radio)
DOInot available

Abstract

fetched live from OpenAlex

The uniplanar double spiral resonator is a kind of left-handed unit which does not require the defected ground and can be miniaturization.Through simulation method,we mainly investigated two kinds of transmission lines:symmetrical shape and unsymmetrical shape,composed of uniplanar double spiral resonators.Using HFSS,the return loss and inserted loss characteristic was simulated and analyzed.It was found that the unsymmetrical shape transmission line had better electromagnetic characteristic than the symmetrical one.Next,two groups of simulation experiments were proposed for comparison in order to analyze the phase properties of the given transmission lines.In one simulation,the phase of symmetrical shape and unsymmetrical shape transmission lines was compared.In another group,the phase of the transmission line composed of one unit and the unsymmetrical shape one composed of four units was compared.It was concluded that the unsymmetrical shape transmission line based on uniplanar double spiral resonators was left-handed.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.028
GPT teacher head0.226
Teacher spread0.198 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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