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Mechatronic Phase-Control Reflector System with in-Plane Axis Control

2024· article· en· W4395662683 on OpenAlexaff
H. Das, Keigan MacDonell, Shulabh Gupta

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsResonatorReflector (photography)BeamformingPhase (matter)OpticsReflection (computer programming)AcousticsPhysicsComputer scienceTopology (electrical circuits)EngineeringElectronic engineeringElectrical engineering

Abstract

fetched live from OpenAlex

A simple mechatronic reflector system is proposed using an array of motorized resonator panels to dynamically control the reflection phase of an incoming waves. The proposed design features a static meshed metallic layer coupled with a ring-resonator array rotating about an axis parallel to the surface. A full-wave design in the X-band is presented here to illustrate this system, where electromagnetic couplings between the fixed mesh and resonator rings are exploited to achieve a near$2\pi$phase variation with low reflection losses compared to their all-electronic counterparts using varactor diode, for instance. Two numerical examples are further shown to illustrate the beamforming features of the system - a binary phase surface and a linear phase gradient for steering the reflected beam. This proposed system thus features an in-plane mechanical actuation compared to vertical displacements or in-plane rotation of the unit cell resonators.

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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.007
GPT teacher head0.231
Teacher spread0.224 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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