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Record W4391791405 · doi:10.1109/ojap.2024.3365539

A Novel Yagi Element Integrated Nested Loop Quasi-Self-Complementary Dual-Port Combiner Radiator

2024· article· en· W4391791405 on OpenAlexaff
R Gopika, Chinmoy Saha, Yahia M. M. Antar

Bibliographic record

VenueIEEE Open Journal of Antennas and Propagation · 2024
Typearticle
Languageen
FieldEngineering
TopicInduction Heating and Inverter Technology
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsRadiator (engine cooling)Dual loopDual (grammatical number)Loop (graph theory)Port (circuit theory)Nested loop joinPhysicsComputer scienceEngineeringElectronic engineeringMathematicsOpticsParallel computingArt

Abstract

fetched live from OpenAlex

This article presents a quasi-self-complementary radiator structure designed to operate simultaneously as a combiner and an antenna. The dual-port architecture comprises axially symmetric nested microstrip loops. The upper half of the radiator structure placed on the top plane is nearly complementary to the lower half on the bottom plane. The nested loop is loaded with a Yagi element for improved performance. This additional element in the radiator enhances the end-fire radiation from the nested loop wideband dual port structure without disturbing the parallel combiner action. An additional gain of nearly 3 dB is obtained with this element across the operating bandwidth. Measurement of both the fabricated prototypes, with and without the Yagi element, reveal the desired parallel combiner action for an operating range of 1.8-2.3 GHz with good matching. The quasi-self-complementary nested loop architecture offers a wide operational bandwidth. The proposed radiator structure is a compact and low-loss alternative for antenna arrays.

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: Methods · Consensus signal: Methods
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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.022
GPT teacher head0.258
Teacher spread0.236 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueIEEE Open Journal of Antennas and PropagationSame topicInduction Heating and Inverter TechnologyFrench-language works237,207