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Record W2000675526 · doi:10.1002/mop.20701

Mutual coupling in finite microstrip patch arrays

2005· article· en· W2000675526 on OpenAlexaff
Y.P. Xi, Da‐Gang Fang, Yu‐Xiang Sun, Y.L. Chow

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2005
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMicrostrip antennaPatch antennaCoupling (piping)Electronic engineeringMicrostripAntenna (radio)AsymptoteMicrowaveComputationTopology (electrical circuits)Antenna arrayEngineeringElectrical engineeringComputer scienceAcousticsTelecommunicationsPhysicsAlgorithmMathematicsGeometryMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Knowledge of the mutual interaction between antenna elements is of great importance for the design of practical antenna arrays, especially for phased arrays and ultra‐low side‐lobe arrays. In this paper, to fully take into consideration the mutual coupling in an array environment, a mutual‐impedance formula based on synthetic asymptote and variable separation [ 1 ] is used in an existing correction procedure in order to speed up the computation for microstrip patch arrays. The simulation results show that the performance of the finite microstrip patch arrays can be successfully predicted. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 44: 577–581, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20701

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 score0.619
Threshold uncertainty score0.632

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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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

Citations8
Published2005
Admission routes1
Has abstractyes

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