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Record W2886710260 · doi:10.1109/apcap.2017.8420309

Miniaturization microstrip antenna design based on artificial electromagnetic structure

2017· article· en· W2886710260 on OpenAlexaff
Qian Wang, Ning Mu, Linli Wang, Jinping Liu, Ying Wang

Bibliographic record

Venue2017 Sixth Asia-Pacific Conference on Antennas and Propagation (APCAP) · 2017
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsMiniaturizationMicrostrip antennaMicrostripElectromagnetic simulationAntenna (radio)Computer scienceElectrical engineeringElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

With the modern microwave technology development, more requirements for miniaturized microstrip antennas have been put forward. In this paper, we use the I-shaped artificial electromagnetic structure, which are etched on the conventional rectangular microstrip antenna to realize the miniaturization of microstrip antenna. The original size of the microstrip antenna working at 5.8GHz is 18.7mm × 13.63mm. The 15 I-shaped artificial electromagnetic structures are etched to reduce the antenna size to 14.1mm × 11.75mm. Under the condition of maintaining the bandwidth and the maximum gain, the size of the antenna is reduced by 35.2%. The measurement results indicate that the antenna performance matches well with the simulation results.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.025
GPT teacher head0.234
Teacher spread0.209 · 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 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
Published2017
Admission routes1
Has abstractyes

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