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Record W1889386246 · doi:10.1109/nrsc.2000.838837

Integrated antennas for wireless applications

2002· article· en· W1889386246 on OpenAlexaff
Yahia M. M. Antar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsDirectional antennaBandwidth (computing)PlanarConformal antennaWirelessDielectric resonatorComputer scienceFlexibility (engineering)MicrowaveDielectric resonator antennaReconfigurable antennaElectronic engineeringElectrical engineeringOmnidirectional antennaMicrostrip antennaSlot antennaAntenna (radio)TelecommunicationsEngineeringResonatorAntenna efficiency

Abstract

fetched live from OpenAlex

Over the last two decades, the development of new printed and other planar antenna technology has fundamentally changed microwave engineering and microwave and millimeter wave communications. New planar antennas can be printed on substrates with minimal cost and processing. Low profile, highly efficient dielectric resonator antennas (DRA) have shown great potential with large bandwidth capabilities, low loss and flexibility over a large frequency range. In many new applications, these compact and low profile antennas, which can also be integrated with active devices, offer a practical and inexpensive solution to previously used configurations of waveguide or reflector-based antenna systems. Increased present and future demands by commercial wireless applications at microwave and millimeter-wave frequencies require new innovations to exploit all the potential and flexibility that these classes of antennas could offer. This paper discusses these related issues by presenting several examples of some of the innovations in integrated planar active and passive antennas, and their related design and operations issues.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0180.011

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 head0.019
GPT teacher head0.209
Teacher spread0.189 · 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 designTheoretical or conceptual
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

Citations2
Published2002
Admission routes1
Has abstractyes

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