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Record W1557091812 · doi:10.1109/aps.1989.135055

Mixed boundary semicircular and 120 degrees -sectoral microstrip antennas

2003· article· en· W1557091812 on OpenAlexaff
Eswarappa, K.C. Gupta, P. Raghuram

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMicrostrip antennaPatch antennaMicrostripBoundary (topology)PhysicsBandwidth (computing)Electrical lengthDirectional antennaAcousticsAntenna (radio)MathematicsOpticsTelecommunicationsAntenna efficiencyMathematical analysisEngineering

Abstract

fetched live from OpenAlex

120 degrees -sectoral microstrip antenna and mixed boundary semicircular antennas are analyzed using the Green's function approach and segmentation methods. The sectoral microstrip antennas with sectoral angles less than 180 degrees can be used to reduce mutual coupling between elements for the same interelement spacing. The mixed boundary microstrip patch antennas appear very promising for building arrays where mutual coupling between elements can be controlled by having various combinations of electric and magnetic walls for elements. The Green's functions of mixed boundary sectoral elements have been developed using the method of expansion in a series of eigenfunctions. The computed input VSWRs (voltage standing wave ratios) and bandwidths agree well with experimental results. The 120 degrees -sectoral antenna has more bandwidth (3.6%) than the circular antenna (3%) and is smaller in size. The large difference in bandwidths of two mixed boundary semicircular antennas suggests that the straight edges radiate more than the circular edges.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.513

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 head0.016
GPT teacher head0.194
Teacher spread0.177 · 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.

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

Citations4
Published2003
Admission routes1
Has abstractyes

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