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Record W2901077836 · doi:10.1109/cama.2018.8530471

On the Use of Electromagnetic Inversion for Near-Field Antenna Measurements: A Review

2018· review· en· W2901077836 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typereview
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Measurements
Canadian institutionsUniversity of Manitoba
FundersCMC Microsystems
KeywordsNear and far fieldInverse problemComputer scienceElectromagnetic fieldInversion (geology)Antenna (radio)ElectromagneticsSystem of measurementInverseRegularization (linguistics)Radiation patternAcousticsElectronic engineeringPhysicsOpticsTelecommunicationsMathematicsEngineeringMathematical analysisGeologyArtificial intelligence

Abstract

fetched live from OpenAlex

This paper focuses on some features and developments pertaining to the source reconstruction method (SRM), an electromagnetic inverse source technique, for near-field antenna measurements. In particular, we describe the usefulness of the absence of restrictions on the measurement and reconstruction domains in the inverse source framework, which can lead to the development novel systems such as a pendulum-based measurement system. The application of the inverse source framework to phaseless (amplitude-only) near-field measurements using a multiplicative regularization scheme is reviewed, as well as the use of pre-scaled measurement data to improve the accuracy of the calculated far-field pattern.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.662
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.195
GPT teacher head0.305
Teacher spread0.110 · 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