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Record W2203364210 · doi:10.1049/el.2015.1822

Design of miniaturised UWB antenna for oil pipeline imaging

2015· article· en· W2203364210 on OpenAlexaff
Tarun Kumar, A. K. Gautam, Binod Kumar Kanaujia, Karumudi Rambabu

Bibliographic record

VenueElectronics Letters · 2015
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsReturn lossBandwidth (computing)Ultra-widebandFractional bandwidthUSableElectronic engineeringAcousticsComputer scienceMaterials scienceAntenna (radio)EngineeringTelecommunicationsPhysicsBand-pass filter

Abstract

fetched live from OpenAlex

A novel design of miniaturised ultra‐wideband (UWB) antenna for oil pipeline imaging is presented. The proposed prototype uses a simple eye‐shaped slot radiator and two ground planes at the same side of the dielectric substrate. The proposed antenna design exhibits an enhanced bandwidth of 20.3 GHz from 3.2 to 23.5 GHz (for return loss <10 dB) which provides a wide usable fractional bandwidth of more than 152% with ultra‐compact area of 14 mm × 12 mm. The simulated and measured results confirm the benefits of the proposed design and reduction in the antenna size with enhanced UWB performance.

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: Methods · Consensus signal: none
Teacher disagreement score0.978
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 head0.014
GPT teacher head0.212
Teacher spread0.198 · 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
GenreMethods

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

Citations17
Published2015
Admission routes1
Has abstractyes

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