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Record W2606687871 · doi:10.1109/tap.2017.2694758

Coupling of Very Low Frequency Through-the-earth Radio Signals to Elongated Conductors

2017· article· en· W2606687871 on OpenAlexafffund
M. Ralchenko, Mike Roper, Markus Svilans, C. Samson

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectrical conductorFinite-difference time-domain methodConductorCoupling (piping)TransmitterSIGNAL (programming language)AcousticsSignal integrityPhysicsElectrical engineeringComputer scienceTelecommunicationsMaterials scienceOpticsPrinted circuit boardEngineeringMechanical engineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

Through-the-earth (TTE) radio signals (400-9000 Hz) have been observed to couple to elongated conductors present near the transmitter (Tx). This phenomenon, which greatly increases signal range, is poorly understood. Experimental and numerical data are combined to better understand the potential of such a communication link. A finite-difference time-domain (FDTD) code is used with a thin wire approximation to model the elongated conductors, which include railway tracks and an elevator shaft. The coupling effect, attributed to currents induced in the elongated conductor, is characterized based on measurements of the three magnetic field components in the vicinity of the conductors. The ability of FDTD to handle arbitrary material geometries makes it an effective tool not only for reconciling theoretical and experimental results, but also for predicting the viability of TTE communication links in different settings, and to optimize the placement of the Tx and receiver.

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 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 score0.145
Threshold uncertainty score0.459

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 studies0.0010.000
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 head0.017
GPT teacher head0.249
Teacher spread0.233 · 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

Citations12
Published2017
Admission routes2
Has abstractyes

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