MétaCan
Menu
Back to cohort
Record W2525119328 · doi:10.1109/intlec.2015.7572394

The evolution of remote line powering safety standards for facilitating the transmission of elevated dc voltages over twisted pair

2015· article· en· W2525119328 on OpenAlexaff
Andrew J. Dickson, Victor Goncalves, Steve Robinson, Dan Cassidy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsAlpha Technologies (Canada)
Fundersnot available
KeywordsFlowchartElectrical engineeringElectric power transmissionVentricular fibrillationReliability engineeringComputer scienceElectrocutionVoltageElectric shockLine (geometry)Risk analysis (engineering)EngineeringSystems engineeringBusinessMedicine

Abstract

fetched live from OpenAlex

This paper discusses the common Line Powering standards for safety with their advantages and their drawbacks. It also discusses the effects of electrical shock and risk of ventricular fibrillation on humans and the two types of faults that can occur with RFT-V line powering. Based on the standards for the effects of current on human beings and livestock, two flowcharts are developed to help unify a method to gauge the safety of RFT-V line powering products. An Excel tool is introduced to assist in the calculating and plotting of the test results from the flowchart. Example waveforms are given from a typical RFT-V product that illustrates the relative risk of ventricular fibrillation. It is concluded that based on the information provided in this paper that RFT-V power topologies will have a low risk of electrocution caused by ventricular fibrillation. Future work discusses how the future safety standards may evolve.

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)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0010.002
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 head0.015
GPT teacher head0.252
Teacher spread0.237 · 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 designTheoretical or conceptual
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

Explore more

Same topicEnergy Harvesting in Wireless NetworksFrench-language works237,207