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Record W2160131275 · doi:10.1109/cca.2005.1507285

Adaptive regulation of the flying height in hard disk drives

2005· article· en· W2160131275 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIterative Learning Control Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFlying heightHard disk drive performance characteristicsVibrationComputer scienceHead (geology)Control theory (sociology)SimulationAutomotive engineeringAcousticsMechanical engineeringEngineeringPhysicsComputer hardwareGeologySliderArtificial intelligenceControl (management)

Abstract

fetched live from OpenAlex

The increase in data storage density in hard disk drives is critically dependent on maintaining a small flying height of the read/write head above the disk surface. Disk and suspension vibrations as well as disk surface microwaviness make it difficult to maintain a desired flying height during normal disk operation. It is proposed in this paper to use an adaptive regulation approach to maintain the flying height at its desired value, despite the unknown vibrations and the unknown microwaviness in the disk surface profile. The performance of the proposed approach is analyzed and simulation results are presented to illustrate the capability of the proposed adaptive regulation approach to achieve and maintain the desired flying height

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.168

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 head0.008
GPT teacher head0.188
Teacher spread0.180 · 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

Quick stats

Citations5
Published2005
Admission routes1
Has abstractyes

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