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Record W1856715148

MEMS-switchable microwave bandpass filter

2008· article· en· W1856715148 on OpenAlexaff
Cen Ong, M. Okoniewski

Bibliographic record

VenueInternational Conference on Microwaves, Radar & Wireless Communications · 2008
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBand-pass filterInsertion lossMaterials scienceMicroelectromechanical systemsCapacitive sensingMicrowaveFilter (signal processing)Prototype filterOptoelectronicsFabricationElectronic engineeringWaveguide filterm-derived filterMicrostripLow-pass filterElectrical engineeringComputer scienceTelecommunicationsEngineering
DOInot available

Abstract

fetched live from OpenAlex

A K-band to Ku-band switchable microstrip bandpass filter is designed and fabricated. The filter response is switched using MEMS cantilever capacitive switches. The filter design and fabrication procedures are briefly discussed. The measured filter achieves 36.2 % of frequency switching range and exhibits insertion losses of 0.6 and 1.0 dB at 21.85 and 15.15 GHz respectively. To the best of our knowledge, the reported filter has the best insertion loss characteristic of all MEMS tunable microwave filters to date. The 6.7 GHz switched frequency band is also the widest absolute frequency range for MEMS tunable filters reported to date.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.551
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 science0.0020.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.260
Teacher spread0.211 · 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
Published2008
Admission routes1
Has abstractyes

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