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Record W1990519173 · doi:10.1049/el.2014.2008

Ultra‐compact end‐loaded planar dipole antenna for ultra‐wideband radar and communication applications

2014· article· en· W1990519173 on OpenAlexafffund
Shahin Shadrokh, Yiqiang Yu, Farid Jolani, Zhizhang Chen

Bibliographic record

VenueElectronics Letters · 2014
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsDalhousie University
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsUltra-widebandDipole antennaRadarPlanarAntenna (radio)Electronic engineeringElectrical engineeringOptoelectronicsMaterials scienceTelecommunicationsComputer scienceEngineering

Abstract

fetched live from OpenAlex

A planar dipole antenna is loaded with LC‐tank resonators and chip resistors presented for ultra‐wideband (UWB) radar and communication systems. Each staircase rectangular arm of the proposed planar dipole is loaded with an open complementary double concentric split‐hexagonal‐ring resonator (LC‐tank) and a pair of chip resistors at the end for bandwidth enhancement, whereas a broadband microstrip to parallel‐plate transformer (or balun) is applied as the feeding structure of the antenna to provide impedance matching as well as balanced–unbalanced transition. The measurement results show that the proposed antenna operates over a frequency bandwidth of 0.64–3.8 GHz with S 11 < −15 dB and exhibits highly directive radiation patterns for the first 100% of the operating bandwidth (0.64–2 GHz) with gains in the range 2.2–4.2 dBi.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations13
Published2014
Admission routes2
Has abstractyes

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