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Record W2038175148 · doi:10.1002/mop.27076

Dual‐wideband branch‐line coupler based on a loaded N‐segment SIR

2012· article· en· W2038175148 on OpenAlexaff
Mehdi Nosrati, Mojgan Daneshmand

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2012
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsResonatorMicrowaveReturn lossTopology (electrical circuits)Resonance (particle physics)Electrical impedanceBandwidth (computing)Multi-band devicePhysicsWidebandQ factorMicrostripEngineeringElectronic engineeringElectrical engineeringOpticsTelecommunicationsAtomic physics

Abstract

fetched live from OpenAlex

Abstract In this study, a novel topology of loaded N‐segment stepped‐impedance resonator (SIR) is introduced to control the frequency ratio between the second and first resonance frequencies of such resonator. The fundamental characteristic of such resonators, the frequency ratio between the second and first resonance frequencies, is targeted as a key factor in arbitrary tuning the resonance frequencies. It is shown that this factor can be determined in a ratio of 6.7: 2.7: 2.25 for the proposed, the conventional dual‐section and T‐shaped SIRs using a five‐segment SIR. This concept can be applied in the design of any dual‐band microwave components where a wide branch‐line couplers is chosen as a sample. It is demonstrated that the proposed topology not only provides more design flexibilities but also improves the performance of such components in terms of bandwidth enhancement, better return loss, and size reduction around 56%. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:2300–2303, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27076

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 categoriesMeta-epidemiology (narrow)
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 score0.114
Threshold uncertainty score1.000

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 head0.009
GPT teacher head0.200
Teacher spread0.192 · 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.

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

Citations1
Published2012
Admission routes1
Has abstractyes

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