MétaCan
Menu
Back to cohort
Record W3096684770 · doi:10.1109/lmwc.2020.3034052

Dielectric-Loaded TM<sub>01</sub>–TE<sub>11</sub> Mode Converters for Wideband Applications

2020· article· en· W3096684770 on OpenAlexafffund
Mohammad Mahdi Honari, Rashid Mirzavand

Bibliographic record

VenueIEEE Microwave and Wireless Components Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsConvertersWidebandBandwidth (computing)DielectricMode (computer interface)PhysicsComputer scienceElectrical engineeringOptoelectronicsOpticsEngineeringTelecommunicationsVoltage

Abstract

fetched live from OpenAlex

In this letter, a new wideband dielectric-loaded TM01-TE11mode converter is proposed. It is shown that a new hexagon metallic sheet (HMS) placed in the middle of a circular waveguide has a lower reflection of the TM01mode compared to a rectangular metallic sheet. Using such HMS in the structure of dielectric-loaded TM01-TE11mode converters can enhance the operational bandwidth significantly. Four cases of mode converters with/without the HMS are designed and evaluated. The results demonstrate a noticeable bandwidth enhancement for the structure with HMS. Using the proposed structure, an excellent operational bandwidth of 25.4% is achieved. The proposed mode converters were 3-D printed and the mode conversion was verified by measuring the far-field radiation patterns.

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 score0.005

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 head0.014
GPT teacher head0.199
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 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

Citations9
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Microwave and Wireless Components LettersSame topicMicrowave Engineering and WaveguidesFrench-language works237,207