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Record W1983415008 · doi:10.1109/mwsym.2008.4633120

Monolithic crossbar MEMS switch matrix

2008· article· en· W1983415008 on OpenAlexafffund
King Yuk Chan, Mojgan Daneshmand, Raafat R. Mansour, Rodica Ramer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCrossbar switchInsertion lossCrossover switchMicroelectromechanical systemsReturn lossRF switchOptical switchMatrix (chemical analysis)FabricationComputer scienceMaterials scienceElectrical engineeringElectronic engineeringOptoelectronicsRadio frequencyEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper presents a novel approach to implement RF MEMS large size switch matrices. The concept is based on the implementation of a crossbar switch matrix and the introduction of unique switch cells that can be easily used to expand the matrix size. A six-mask fabrication process is adapted to fabricate the proposed four-port switch cell as well as the switch matrix samples. The switch cell has two operational states: thru and turn. This allows the cell to be easily integrated in the form of a crossbar switch matrix. Novel series contact cantilever beams have been used to implement the entire structure. The measured results for the entire switch cell show excellent insertion loss of 0.5dB, return loss of better than −20dB and isolation of −25dB for the thru path. The turn state of the switch shows a good performance of 0.4dB insertion loss, −18dB return loss and better than −25dB isolation for the frequency band of interest. A 3×3 switch matrix is implemented that shows 98% size reduction in comparison with the previously reported RF MEMS switch matrices.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.338

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 head0.014
GPT teacher head0.234
Teacher spread0.220 · 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 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

Citations25
Published2008
Admission routes2
Has abstractyes

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