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Record W2886634714 · doi:10.1109/pn.2018.8438838

Modeling of FBG Moisture Sensor in COMSOL

2018· article· en· W2886634714 on OpenAlexaff
Navjot Kaur Sidhu, Parsoua Abedini Sohi, Sevin Samadi, Mojtaba Kahrizi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsConcordia University
Fundersnot available
KeywordsMultiphysicsFiber Bragg gratingDeformation (meteorology)Materials scienceOptical fiberAcousticsOpticsFinite element methodMechanicsPhysicsStructural engineeringEngineeringComposite material

Abstract

fetched live from OpenAlex

Flexibility of COMSOL multiphysics simulation tool makes it possible to estimate the behavior of the Fiber Bragg Grating (FBG) moisture sensor, analyzes mechanical deformation of FBG exposed to hygroscopic polymers and ultimately evaluate electric field strength of propagating light in FBG as a function of geometry deformation. The 2D Moisture sensor model includes Solid Mechanics interface of the Structural Mechanics Module to analyze the deformation of FBG and Electromagnetic Waves interface of Wave Optic Module to analyze wave propagation in the FBG. Light propagation and reflecting wavelength are simulated based on Snell's and Fresnel's laws and none of the Brag equations and expressions is predefined in the model.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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 designSimulation or modeling
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

Citations1
Published2018
Admission routes1
Has abstractyes

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