MétaCan
Menu
Back to cohort
Record W2885950546 · doi:10.1109/mwsym.2018.8439484

Integrated Polarization Converter for Planar Cross-Polarized Millimeter Wave Components

2018· article· en· W2885950546 on OpenAlexaff
Walid Dyab, Ahmed A. Sakr, Ke Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsPlanarPolarization (electrochemistry)Printed circuit boardExtremely high frequencyOpticsMaterials scienceLinear polarizationElectric fieldOptoelectronicsBottleneckPhysicsElectrical engineeringEngineeringComputer science

Abstract

fetched live from OpenAlex

In the millimeter wave (mmW) band, it is possible to excite signals in printed circuit boards or PCB where the electric field is parallel to the plane of substrate and bounded by the upper and lower conducting layers of the PCB. Based on this concept, dually polarized mmW components have been developed recently to double the capacity of those components. The integration of dually polarized and conventional single polarized components on one substrate creates a significant bottleneck. The solution for this bottleneck is the design of an integrated polarization converter which fully rotates the horizontally polarized field. This rotation converts the horizontal field to be vertical to be easily fed to the rest of the circuit with minimum loss. The polarization conversion is achieved by artificially induced skew anisotropy, which is realized by drilling tilted holes in the conventional isotropic substrate. This theoretical concept for polarization conversion is developed in this paper. The design procedures along with a simulation example are presented. Fabrication methodologies and different variations of prototypes are discussed.

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 score0.002
Threshold uncertainty score0.007

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.230
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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicMicrowave Engineering and WaveguidesFrench-language works237,207