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Record W3198964692

On an Antenna Design for 2D Scalar Near-Field Microwave Tomography

2015· article· en· W3198964692 on OpenAlexaff
Nozhan Bayat, Puyan Mojabi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Imaging and Scattering Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMicrowave imagingAntenna measurementAntenna factorOpticsCoaxial antennaAcousticsMonopole antennaPhysicsAntenna (radio)Radiation patternMicrowaveComputer scienceTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

Some desired antenna specifications for performing two-dimensional (2D) transverse magnetic (TM) microwave tomography imaging are presented and discussed. These desired specifications are governed by the need to reduce the discrepancy between the 3D measurement configuration and the utilized 2D TM inversion algorithm, as well as the desire to enhance the achievable image accuracy and resolution. Driven by these specifications, an existing compact ultrawideband antenna element is modified. These modifications attempt to make the near-field distribution of this antenna more focused in the two orthogonal planes in the forward near-field zone of the antenna, while keeping its physical size relatively small and maintaining multiple frequencies of operation for this antenna. The final antenna has a physical size of 26×29×38.5 mm3 and can operate at two different frequency bands (2.34-5.04 GHz and 8.06-13 GHz based on the |S11| ?-8 dB impedance bandwidth definition). The measured near-field distribution of this antenna is presented in the imaging plane and the plane perpendicular to the imaging plane.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.801
Threshold uncertainty score0.614

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 head0.025
GPT teacher head0.238
Teacher spread0.214 · 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 designSimulation or modeling
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

Citations3
Published2015
Admission routes1
Has abstractyes

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