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Record W1970039968 · doi:10.1109/eucap.2014.6902440

Experimental investigations of an omni-directional dielectric resonator antenna for UWB systems

2014· article· en· W1970039968 on OpenAlexaff
Idris Messaoudene, Tayeb A. Denidni, Abdelmadjid Benghalia

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversité du Québec à Montréal
Fundersnot available
KeywordsDielectric resonator antennaMonopole antennaRadiation patternAntenna measurementAntenna (radio)Antenna efficiencyAcousticsDipole antennaCoaxial antennaUltra-widebandOmnidirectional antennaComputer scienceAntenna factorElectrical engineeringElectronic engineeringPhysicsTelecommunicationsResonatorEngineering

Abstract

fetched live from OpenAlex

In this paper, a new dielectric resonator antenna (DRA) is presented and investigated for ultra wideband (UWB) applications. The UWB antenna has a U-shape and excited by a microstip fed monopole. The proposed antenna was simulated and designed using two electromagnetic simulators. To validate our design, a prototype antenna was fabricated and measured. From the measurements, the U-shaped DRA has a 117.6% impedance bandwidth (from 2.94 GHz to 11.34 GHz, for return loss below -10 dB, largely covering the UWB spectrum band). Moreover, the proposed antenna provides an omni-directional radiation pattern. With these features, the present antenna can be used in ultra-wideband wireless systems.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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