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Record W2046659232 · doi:10.1504/ijvd.2012.045926

Vibration control for active seat suspension system based on projective chaos synchronisation

2012· article· en· W2046659232 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

VenueInternational Journal of Vehicle Design · 2012
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsUniversity of New Brunswick
FundersBijzonder Onderzoeksfonds UGentNational Natural Science Foundation of China
KeywordsVibrationVibration isolationEngineeringRobustness (evolution)ChaoticAccelerationControl theory (sociology)Vibration controlSuspension (topology)Computer scienceAcousticsControl (management)PhysicsMathematics

Abstract

fetched live from OpenAlex

A control method based on Projective Chaos Synchronisation (PCS) is developed for design of active seat suspension system. The chaotic vibration signals with broadband frequency are used to reduce the Power Spectrum Density (PSD) of the driver’s acceleration in the human-body sensitive range. The scaling factor of PCS enables us to proportionally diminish the vibration amplitudes of the driver seat to the degree as we desire. Detailed analyses of this method show that the control method could improve the vibration-isolation performance effectively, and the control force applied to the seat suspension could be constrained to a relatively low level. In addition, the robustness of the control method is addressed.

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)0.001
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: none
Teacher disagreement score0.979
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.245
Teacher spread0.225 · 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