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Transient Electromagnetic Fields associated with a power transmission line above a lossy ground

2009· article· en· W2081561334 on OpenAlexaff
Pooya Taheri, Behzad Kordi, Ani Gole

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsElectric power transmissionPhysicsLossy compressionTransmission lineDipoleElectromagnetic fieldComputationTransient (computer programming)Magnetic dipoleTransmission-line matrix methodComputational physicsComputational electromagneticsElectric fieldTransmission (telecommunications)AcousticsElectromagnetic radiationTime domainElectromagnetic pulseOpticsElectrical engineeringComputer scienceEngineeringAlgorithm

Abstract

fetched live from OpenAlex

This paper provides a step by step procedure for the computation of electromagnetic (EM) fields in the vicinity of power transmission lines. By decomposing the transmission line into a number of Hertzian dipoles, the electric and magnetic fields at any point above the ground can be found by summing up the contribution of each segment. Two analytical frequency-domain approaches for the calculation of radiation from a horizontal electric dipole (HED) located above a finitely conducting ground are implemented and compared. Numerical electromagnetic code (NEC-4) is used in order to verify the results.

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 categoriesInsufficient payload (model declined to judge)
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 score0.390
Threshold uncertainty score0.999

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)0.0020.000

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 head0.004
GPT teacher head0.199
Teacher spread0.195 · 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.

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

Citations4
Published2009
Admission routes1
Has abstractyes

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