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Record W1507260518 · doi:10.1002/9780470973370.ch12

Defected Ground Structure for Microstrip Antennas

2010· other· en· W1507260518 on OpenAlexaff
Debatosh Guha, Sujoy Biswas, Yahia M. M. Antar

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsMicrostripMicrostrip antennaAcousticsPhysicsComputer scienceElectrical engineeringTelecommunicationsEngineeringAntenna (radio)

Abstract

fetched live from OpenAlex

Defected Ground Structure (DGS) is relatively a new area of research and applications associated with printed circuits and antennas. This chapter addresses the fundamentals of the DGS from its evolution and modeling to the state-of-the-art applications. The DGS geometries reported so far include simple shapes such as rectangular dumbbell, circular dumbbell, spiral, “U”, “V”, “H, cross, concentric rings, etc. Also different complex structures like split ring resonators, or fractals have been examined. To stop the higher harmonics at the input of the microstrip element, proper bandstop characteristics in the feeding network have been explored using different DGS configurations. The DGS has been implemented to improve or modify the radiation properties of microstrip patches. Placing the DGS in between the two microstrip patches also has some useful applications in reducing mutual coupling between them. Controlled Vocabulary Terms microstrip antennas; microstrip filters; printed circuits

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.013

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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
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

Citations46
Published2010
Admission routes1
Has abstractyes

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