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Record W2161933500 · doi:10.1109/ccece.2002.1015270

A surface micromachined bistable switch

2003· article· en· W2161933500 on OpenAlexaff
Ian G. Foulds, Ngoc Duc Trinh, Shiliang Hu, S. Liao, Robert W. Johnstone, X. Parameswaran

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMultivibratorBistabilityMicroelectromechanical systemsPower (physics)MicrosystemComputer scienceCrossover switchState (computer science)RollbackElectronic engineeringOptical switchEngineeringElectrical engineeringMaterials scienceOptoelectronicsVoltagePhysics

Abstract

fetched live from OpenAlex

Often microsystems require switches or mechanisms that can give two stable states. Currently, many micromechanical systems use a monostable switch to produce the two states: a first stable state when no power is applied and a second state that requires constant power to maintain the stability. Such a configuration is not efficient and consumes considerable electrical power during the 'on' state of the switch. A more efficient design would be a device that consumes energy only during the switching operation and does not consume any power while holding the stable states. Our novel micromechanical bistable switch design is based on the locking mechanism of an extension ladder. This switch was designed and fabricated through multi-user MEMS processes (MUMPs). Our paper outlines the design, simulation, animation and results from the testing of the micro-fabricated system. Actual performance of the switch was videographically analyzed and compared with theory and simulation.

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 score0.153
Threshold uncertainty score0.261

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 head0.007
GPT teacher head0.202
Teacher spread0.195 · 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

Citations5
Published2003
Admission routes1
Has abstractyes

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