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Record W1968906989 · doi:10.1109/iecon.2012.6388587

Electromagnetic micro-power generator for energy harvesting from breathing

2012· article· en· W1968906989 on OpenAlex
Aidin Delnavaz, Jérémie Voix

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
TopicInnovative Energy Harvesting Technologies
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsRespiratorEnergy harvestingGenerator (circuit theory)Electrical engineeringComputer scienceVoltagePower (physics)Energy (signal processing)Wearable computerBreathingElectric generatorElectronic engineeringEngineeringMaterials sciencePhysicsEmbedded system

Abstract

fetched live from OpenAlex

An electromagnetic energy harvesting mechanism is presented to convert the breath pressure into electrical voltage. The generated power has a general application in providing energy for portable or wearable electronic devices and a particular application in chemical respirators to power the cartridge end of service life indicator systems. Changes in the breath pressure have been measured during normal breathing, and the proposed electromagnetic system has been simulated to find the best configuration of components. Also, a prototype has been built and tested. The experimental results will show that more than 3 μW can be harvested by using this generator.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.918

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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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

Citations25
Published2012
Admission routes1
Has abstractyes

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