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Record W1792895297 · doi:10.1109/aps.2001.959820

Resonance behavior of single U-slot and dual U-slot antenna

2002· article· en· W1792895297 on OpenAlexaff
R. Bhalla, L. Shafai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsMicrostrip antennaPatch antennaSlot antennaAcousticsAntenna measurementPhysicsCoaxial antennaMicrostripAntenna efficiencyAntenna factorAntenna (radio)OpticsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

The broadband characteristic of a microstrip patch antenna with a U-shaped slot has been confirmed by many published results, in which two different but close resonant frequencies in a single patch are combined to give a wideband operation. On the other hand, if the excited resonant frequencies are far apart, a dual-frequency operation can be achieved with the U-slot antenna. In the present work, the resonance behavior of a single U-slot microstrip patch antenna is studied. Two approximate equations for the operating frequencies of a single U-slot microstrip patch antenna are derived by analyzing the surface current distribution on the microstrip patch. The two proposed equations for the operating frequencies of a single U slot antenna are accurate within about 5%. The design simulation results of a microstrip patch antenna with two asymmetric U-shaped slots for dual-frequency operation are also presented. The two operating frequencies of the proposed antenna are found to have the same polarization and similar broadside radiation characteristics. The frequency ratio of the two operating frequencies is found to be f/sub 2//f/sub 1/=1.57. The details of the antenna design and simulation results are presented and discussed.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.199
Teacher spread0.175 · 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 designSimulation or modeling
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

Citations43
Published2002
Admission routes1
Has abstractyes

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