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Record W2162916103 · doi:10.1002/mop.29049

Rotational circular split ring resonator array loaded CPW for dual notch and wide bandstop applications

2015· article· en· W2162916103 on OpenAlexaff
Chinmoy Saha, Jawad Y. Siddiqui, Latheef A. Shaik, Yahia M. M. Antar

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2015
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsSplit-ring resonatorCoplanar waveguideResonatorBand-stop filterMicrowaveWidebandOpticsRotation (mathematics)Resonance (particle physics)Multi-band deviceMaterials sciencePhysicsOptoelectronicsTelecommunicationsBandwidth (computing)EngineeringAntenna (radio)GeometryLow-pass filterMathematicsAtomic physics

Abstract

fetched live from OpenAlex

ABSTRACT A compact design of a wide bandstop and dual notch filter using an array of circular split ring resonators (SRR) on a coplanar waveguide is proposed in this article. The band rejection is determined by the resonance frequencies of the loaded SRRs. The resonance frequencies of the SRRs are optimized by gradual angular rotation of the inner rings of the SRRs. The dual notch is achieved with dual SRR pairs with two different angular orientations of (0°–60° and 0°–90°). A wideband rejection is achieved by an array of eight pairs of SRRs with gradually changing angular orientation from 0° to 90°. Good agreement is achieved between the simulated and the measured results. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:1204–1209, 2015

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.210
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2015
Admission routes1
Has abstractyes

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