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Record W2096568331 · doi:10.1109/imtc.1997.612376

Evaluation of practical definitions of parameters for smooth impulses and impulses with small amounts of distortion (overshoot and/or oscillations)

2002· article· en· W2096568331 on OpenAlexaff
T.R. McComb, J. Dunn

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Electrical Measurement Techniques
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSmoothingOvershoot (microwave communication)Distortion (music)AlgorithmCurve fittingComputer scienceVoltageMathematicsControl theory (sociology)StatisticsEngineeringBandwidth (computing)Artificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

The existing definitions of the parameters of high-voltage impulses were derived to be used on measurements made on an oscillogram and hence they were based on a small number of readings which would usually have uncertainties of reading of about /spl plusmn/1% (or more) of the read parameter. Records taken on digital recorders may have much greater precision (and the possibility of lower uncertainties) and in some cases their precision may be increased by appropriate processing of the recorded data. This paper discusses definitions of the parameters used to define impulses and how they can be modified to facilitate automated data processing while maintaining a reasonable correlation with the very-large established database gathered using the old definitions. The parameters are evaluated using these new definitions on records of standard test impulses and the values obtained are compared with those obtained using the old definitions evaluated with either non-linear curve fitting or smoothing.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.175
GPT teacher head0.305
Teacher spread0.131 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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