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Record W2801781632 · doi:10.1049/iet-map.2018.0051

Frequency notched balanced antipodal tapered slot antenna with very low cross‐polarised radiation

2018· article· en· W2801781632 on OpenAlexaff
Chittajit Sarkar, Chinmoy Saha, Latheef A. Shaik, Jawad Y. Siddiqui, Yahia M. M. Antar

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2018
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsAntipodal pointRadiationOpticsAntenna (radio)Slot antennaMaterials scienceRadiation patternAcousticsPhysicsTelecommunicationsComputer scienceMathematicsGeometry

Abstract

fetched live from OpenAlex

The authors present the design and realisation of balanced antipodal tapered slot antenna (BATSA) with frequency notched ultra‐wideband impedance characteristics, very high gain and extremely low cross‐polarised radiation. The proposed antenna comprises a central elliptic conductor sandwiched between two elliptic conductors etched on two dielectric substrates both of which acts as the ground planes and thereby provide an electromagnetic balance for the radiating electric field. The proposed BATSA is fed by a microstrip line. The microstrip section is followed by the radiating flared section of the antenna. The notch frequency is achieved by introducing a quarter wavelength spur line in the feeding microstrip line of the antenna. The fabricated prototype of the antenna was characterised for impedance and radiation performance revealing a very good correspondence with simulation results. Radiation pattern characterisation confirms high gain in the end‐fire direction and very low cross‐polarisation compared to antipodal tapered slot antenna.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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)0.0010.001

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 head0.006
GPT teacher head0.210
Teacher spread0.204 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

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