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Record W2779500826 · doi:10.1109/naecon.2017.8268754

Design and analysis of wafer-level vacuum-encapsulated disk resonator gyroscope using a commercial MEMS process

2017· article· en· W2779500826 on OpenAlexaff
Balaadithya Uppalapati, Mohammed Jalal Ahamed, Vamsy P. Chodavarapu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsGyroscopeResonatorWaferMicroelectromechanical systemsMaterials scienceOptoelectronicsVibrating structure gyroscopeQ factorElectronic engineeringAcousticsEngineeringPhysicsAerospace engineering

Abstract

fetched live from OpenAlex

We present the design and analysis of a mode-matched disk resonator gyroscope that is characterized by a high quality factor exceeding 1 million. The mode match resonator is designed using geometric compensation technique for reducing frequency split between two degenerate modes. The gyroscope sensor is designed using MEMS Integrated Design for Inertial Sensors (MIDIS) process offered by Teledyne DALSA Semiconductor Incorporated (TDSI). The MIDIS process offers ultra clean wafer-level vacuum encapsulation at 10m Torr. Our disk resonator gyroscope has a circular shape with 600 μm diameter and is made with 40 μm thick single crystal silicon material.

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 score0.283
Threshold uncertainty score0.498

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 head0.072
GPT teacher head0.319
Teacher spread0.247 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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