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Record W2018173961 · doi:10.1049/iet-pel.2014.0283

Bridgeless converter with input resistance control for low‐power energy harvesting applications

2015· article· en· W2018173961 on OpenAlex
Chen‐Yu Hsieh, Mehrdad Moallem, Farid Golnaraghi

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

VenueIET Power Electronics · 2015
Typearticle
Languageen
FieldEngineering
TopicInnovative Energy Harvesting Technologies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBattery (electricity)ResistorPower (physics)Energy harvestingBoost converterEngineeringDamperControl theory (sociology)Electrical engineeringElectronic engineeringComputer scienceVoltageControl (management)Control engineeringPhysics

Abstract

fetched live from OpenAlex

In this study, a new switched‐mode bridgeless converter operating in the discontinuous conduction mode is presented along with an input resistance control scheme. Through feedback control, the converter‐battery circuitry synthesises variable line resistor with regenerative capability is intended for large‐scale electromagnetic‐based energy harvesting systems. For instance, the circuit can operate as a vehicular regenerative damper through converting vibration energy into battery charge. Analysis of the power converter in various switching modes is presented along with implementation of a control method for synthesising a desired input resistance. Experimental and simulation results are presented that highlight operations and power efficiencies of the proposed power converter along with its control scheme.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score1.000

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 head0.206
Teacher spread0.198 · 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