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Evaluation and improvement of the performance of harmonic RADAR transponders

2020· article· en· W3034830683 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 Compatibility and Measurements
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsTransponder (aeronautics)RadarOffset (computer science)DiodeHarmonicAcousticsComputer scienceElectronic engineeringAbsorption (acoustics)Materials scienceOptoelectronicsEngineeringPhysicsTelecommunications

Abstract

fetched live from OpenAlex

Efficiency of the harmonic radar transponder tag primarily depends on the details of its physical shape and the properties of the attached diode. Tag performance means to efficiently convert the incident radio wave signal into a transmitted harmonic signal that yields greater detection range. In this study, performance of wire-based tags are evaluated based on their resonant frequencies, absorption cross-sections, and radiation properties. During the evaluation of absorption cross-section, SPICE parameters of the diode are employed to accurately model the diodes. Tag architectural features including loop offset, wire diameter, and wire deformation are examined in terms of the tag's performance. Results show that an arm ratio of 2:1 is optimal, that small diameter wire is preferable, and that some deformation of the dipole may improve pattern coverage. The derived information is useful and expandable for the optimization of the many types of transponders.

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 score0.154
Threshold uncertainty score0.095

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 head0.207
Teacher spread0.182 · 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