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Record W3203066749

A CPW-Fed Band-Notched UWB Antenna with T-shape Construct and Matching Branches

2014· article· en· W3203066749 on OpenAlexaff
A. Chen, Chao Yang, Zhizhang Chen, K. J. An, Jian Fang, Wen Jiang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRadiation patternOpticsOmnidirectional antennaMonopole antennaCoaxial antennaAntenna (radio)Dipole antennaAntenna efficiencyCoplanar waveguidePhysicsTelecommunicationsComputer science
DOInot available

Abstract

fetched live from OpenAlex

A compact coplanar waveguide (CPW) fed ultra-wideband (UWB) antenna with a bandnotched performance is presented in this paper. The band-notched UWB antenna is designed on a 26×34×1.6 mm3 substrate. It consists of a circle ring with a T-shape construct, three rectangular matching branches, a rectangular transition branch, and a CPW feed line. The antenna is simulated and the geometrical parameters of the antenna selected with Ansoft HFSS. The simulated results show the impedance bandwidth covers from 3.0 GHz to 11.0 GHz with the notched rejection band of 5.1 GHz - 5.8 GHz. A prototype was fabricated and tested. The measured and simulated results show that the proposed antenna gives bidirectional radiation pattern in the E-plane and omnidirectional radiation pattern in the Hplane with relatively flat gains in the pass-band. Due to its compact configuration, the antenna can find good UWB applications.

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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.177
Teacher spread0.171 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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