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Record W2741477300 · doi:10.1002/mop.30780

Finger‐worn end‐fire antenna for MM‐wave applications

2017· article· en· W2741477300 on OpenAlex
Mohamad Mantash, Tayeb A. Denidni

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

VenueMicrowave and Optical Technology Letters · 2017
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsGround planeRadiation patternCoaxial antennaAntenna measurementBandwidth (computing)Omnidirectional antennaAntenna efficiencyAcousticsElectrical engineeringEngineeringAntenna (radio)OpticsPhysicsElectronic engineeringTelecommunications

Abstract

fetched live from OpenAlex

Abstract A novel antenna candidate for intelligent wearable systems at 30 GHz is presented in this letter. It consists of a compact axial‐mode helical antenna with a ground plane mounted on a plastic ring. This choice allows to achieve a wide bandwidth and circular polarization in a compact package. A prototype is manufactured, and the different classical key antenna metrics are investigated: return loss, realized gain, axial ratio and radiation pattern. The bandwidth and radiation characteristics obtained make the wearable ring antenna suitable to be used for MM‐wave applications within the frequency band from 25 to 33 GHz.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.824
Threshold uncertainty score0.607

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 head0.013
GPT teacher head0.220
Teacher spread0.207 · 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