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Record W2550504490 · doi:10.1109/tcpmt.2016.2620424

Completely Tuned Coupled Cavity Filters in Defected Bed of Nails Cavity

2016· article· en· W2550504490 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Components Packaging and Manufacturing Technology · 2016
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsConcordia University
Fundersnot available
KeywordsChebyshev filterBand-pass filterFilter (signal processing)Coupling (piping)Waveguide filterPrototype filterMaterials sciencem-derived filterCoaxialWaveguideElectronic engineeringFilter designAcousticsOptoelectronicsEngineeringPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

The design of perfectly tuned bandpass filters on defected bed of nails cavity and ridge gap waveguide (RGW) is investigated. The proposed technology eliminates the need for intact electrical contact between the metal parts of the filter. A space mapping method and coupling matrix are used to tune and optimize the proposed structures, which are computationally expensive and have beneficial characteristics for high-frequency applications. RGW is used as the input/output for the filters. A new coaxial transition to RGW and input/output coupling method is designed and used. A fifth-order Chebyshev bandpass filter is designed, fabricated, and measured. The performance of the designed filter is compared to a rectangular waveguide filter. Classic bandpass filters with transmission zeros at finite frequencies using this technology are designed for the first time. Sample models for triplet and quadruplet sections are proposed and optimized.

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 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 score0.212
Threshold uncertainty score0.978

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 head0.013
GPT teacher head0.204
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