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Record W2092032626 · doi:10.1109/mwsym.2006.249415

C-type and R-type RF MEMS Switches for Redundancy Switch Matrix Applications

2006· article· en· W2092032626 on OpenAlexafffund
Mojgan Daneshmand, R.R. Mansour

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Waterloo
KeywordsInsertion lossRedundancy (engineering)Microelectromechanical systemsCrossover switchPort (circuit theory)Optical switchAnalogue switchComputer scienceRF switchElectrical engineeringFabricationElectronic engineeringCrossbar switchRadio frequencyEngineeringMaterials scienceOptoelectronicsVoltage

Abstract

fetched live from OpenAlex

The objective of this paper is to investigate novel configurations of planar multi-port RF MEMS C-type and R-type switches as basic building blocks of redundancy switch matrices for satellite communications. An in house monolithic fabrication process dedicated to electrostatic multi-port RF MEMS switches is developed and fine tuned. The proposed C-type switch is a four port device with two operational states. This switch illustrates an insertion loss of less than 0.3dB and isolation of about 25dB at satellite C band frequency range. The novel R-type switch is also a four port device with an additional operational state that could drastically reduce the number of required switch elements (up to 50%) in a redundancy switch matrix. The measured results show an insertion loss of better than 0.4dB and isolation of better than 25dB at C-band. This is the first time that an R-type RF MEMS switch is ever reported

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.390

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 head0.249
Teacher spread0.240 · 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

Citations33
Published2006
Admission routes2
Has abstractyes

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