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Record W2026164531 · doi:10.1109/lawp.2014.2314480

Integrated Ultrawideband/Narrowband Rectangular Dielectric Resonator Antenna for Cognitive Radio

2014· article· en· W2026164531 on OpenAlexaff
Yongfeng Wang, Naizhi Wang, Tayeb A. Denidni, Qingsheng Zeng, Gao Wei

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2014
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsCommunications Research Centre CanadaInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsDielectric resonator antennaNarrowbandAcousticsElectrical engineeringMaterials sciencePhysicsDielectricComputer scienceTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

An integrated ultrawideband (UWB) and narrowband (NB) rectangular dielectric resonator antenna (DRA) is presented. The proposed antenna consists of a UWB rectangular DRA excited by a bevel-shaped patch and an NB DRA excited by a strip. The measured results demonstrate that the UWB and NB antenna provides a 2:1 voltage standing wave ratio (VSWR) bandwidth for 2.4-12 and 2.3-4.5 GHz, respectively, with the same polarization. Moreover, two symmetrical short-circuited strips are introduced to improve the isolation between the two ports. This can be a suitable candidate for applications in cognitive radio, where the UWB antenna can be used for spectrum sensing and the NB antenna for communication operation.

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 categoriesMeta-epidemiology (narrow)
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 score0.958
Threshold uncertainty score1.000

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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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.

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

Citations22
Published2014
Admission routes1
Has abstractyes

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