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Record W2035881130 · doi:10.1109/iembs.2011.6091118

Lower-limb-driven energy harvesting: Preliminary analysis

2011· article· en· W2035881130 on OpenAlexaff
Juntian Zhang, Qingguo Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInnovative Energy Harvesting Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsKinematicsEnergy harvestingSwingMechanical energyPower (physics)Computer scienceElectricity generationEnergy (signal processing)SimulationRange (aeronautics)Maximum power principleEngineeringMechanical engineeringMathematicsPhysicsAerospace engineeringStatistics

Abstract

fetched live from OpenAlex

In this paper, we present a new lower limb driven biomechanical energy harvester and its preliminary performance analysis. An estimate of the mechanical available power, estimated user felt resistance, and preliminary testing were conducted in this study. The estimated total available mechanical power and user felt resistance are based on the kinematic motion data and the mathematical model of the energy harvester prototype. Two key advantages of the new model are: generation of a higher mean power and application to a wider range of subject motion. The device is mounted on a backpack with lower limb attachments. Power generation occurs during the swing phase where negative power occurs. The new energy harvester prototype is capable of harvesting power on the same order of magnitude as previous models.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.028
GPT teacher head0.203
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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