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Record W1910337249 · doi:10.1109/elmagc.2002.1177421

Analysis of slot-eavesdrop of coaxial cable with FDTD method

2003· article· en· W1910337249 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsQueen's University
Fundersnot available
KeywordsFinite-difference time-domain methodCoaxialCoaxial cableBessel functionElectromagnetic fieldElectromagnetic compatibilityPerfectly matched layerGravitational singularityFinite difference methodAcousticsPhysicsComputer scienceMathematical analysisMathematicsElectronic engineeringEngineeringOpticsElectrical engineeringGeometryConductor

Abstract

fetched live from OpenAlex

In this paper, the perfectly matched layer (PML) absorbing boundary condition is applied to a general finite-difference time-domain (FDTD) in a 3D cylindrical coordinates system. We deduce the difference formulation both in free space and the PML field, and the axial singularities are removed by using Ampere's law. With this method, the characteristics of a coaxial cable slot-eavesdrop are discussed. In the simulation, the singularities near the metal edge are removed using the Fourier-Bessel expansion. It shows that research of electromagnetic eavesdropping in coaxial cable interfaces in the electromagnetic compatibility field is needed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.565
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
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.270
Teacher spread0.261 · 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