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Record W2147308646 · doi:10.1109/tap.2004.832515

Two-Dimensional FDTD Inverse-Scattering Scheme for Determination of Near-Surface Material Properties at Microwave Frequencies

2004· article· en· W2147308646 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

VenueIEEE Transactions on Antennas and Propagation · 2004
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsFinite-difference time-domain methodInverse scattering problemMicrowave imagingRobustness (evolution)Inverse problemScatteringInverseAlgorithmMicrowaveMathematical analysisEstimation theoryTime domainMathematicsPhysicsOpticsComputer scienceGeometryQuantum mechanics

Abstract

fetched live from OpenAlex

This paper reports a two-dimensional time-domain inverse-scattering algorithm based upon the finite-difference time-domain method for determining near-surface material properties at microwave frequencies. The time-domain nature of this technique allows for limiting the region of inversion using causality. The algorithm traces a search trajectory in the (/spl epsiv//sub r/, /spl sigma/) parameter space. The minimal parameter estimation error along this trajectory yields a set of approximate parameter values. It is shown that the algorithm's convergence and robustness with respect to broadband Gaussian noise depends on the shape and the duration of the illuminating electromagnetic wave pulse chosen for the electrical parameter reconstruction. It is possible to achieve an unambiguous indication of algorithm convergence despite the noisy background.

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 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 score0.246
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 studies0.0000.000
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 head0.023
GPT teacher head0.245
Teacher spread0.222 · 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