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Record W2123442604 · doi:10.1109/cpem.1990.110087

Measurement of the radiated electric fields from electrostatic discharge

2002· article· en· W2123442604 on OpenAlexaff
A.J. Kozlowski, M. Barski, S.S. Stuchly

Bibliographic record

VenueConference on Precision Electromagnetic Measurements · 2002
Typearticle
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTime domainElectric fieldFrequency domainWaveformNanosecondPhysicsAcousticsBroadbandElectrostatic dischargeVoltageFourier transformElectrical engineeringTransient (computer programming)OpticsComputer scienceEngineeringLaser

Abstract

fetched live from OpenAlex

A system to measure the time and frequency domain characteristics of transient electric fields with risetimes on the order of a nanosecond is described. The response of the system using two broadband electric field sensors (a truncated transverse-electromagnetic horn and a hemispherical antenna) is compared using three different electrostatic discharge sources (a human body through a metallic screwdriver, a finger, and an electrostatic discharge tester). Time-domain electrostatic-discharge radiated electric field (R=1.0 m) waveforms were measured using a broadband (750-MHz) single-shot measurement system in a laboratory with a 6-ns time window. Time to frequency conversion using the fast Fourier transform permitted frequency-domain characteristics to be determined. Since the time-domain waveforms are quite complex. it is difficult to make comparisons in the time domain. Frequency-domain characteristics were therefore examined. The voltage output from both antennas was shown to be quite different below 80 MHz, and somewhat similar above 80 MHz.>

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.045
GPT teacher head0.227
Teacher spread0.183 · 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 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

Citations3
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueConference on Precision Electromagnetic MeasurementsSame topicElectrostatic Discharge in ElectronicsFrench-language works237,207