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Record W4250004064 · doi:10.5383/ijtee.10.01.011

Design and Experimental Investigations of Magentic Energy Harvester at Low Resonance Frequency

2015· article· en· W4250004064 on OpenAlexvenueno aff
Ala‘aldeen Al-Halhouli, Hussam Kloub, Michael Wegner, S. Büttgenbach

Bibliographic record

VenueInternational Journal of Thermal and Environmental Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicInnovative Energy Harvesting Technologies
Canadian institutionsnot available
FundersVolkswagen Foundation
KeywordsEnergy harvestingMagnetVibrationEnergy (signal processing)Power (physics)Work (physics)Electrical engineeringAutomotive engineeringElectronicsPosition (finance)Computer scienceEngineeringAcousticsMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Energy harvesting replaces the traditional method of using batteries to power electronic devices and sensors. It makes them self-sufficient, autonomous, and long-living and requires lower maintenance costs. This paper presents a vibration based electromagnetic energy harvester. The experimental work in this paper investigates the harvester design parameters: the magnet position, the number and the size of magnets and the geometry of the coils. Experimental results show that the optimized prototype generates 9mW at 120Ω load resistance. This energy would be sufficient for energy supply of sensors and electronic devices such as mp3 players or mobile phones.

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 score0.161
Threshold uncertainty score0.404

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 head0.016
GPT teacher head0.194
Teacher spread0.178 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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