The study of temperature and refractive index sensitivity of polyimide coated etched (3LPGs-FBG) sensor
Bibliographic record
Abstract
In this study, a new sensor configuration based on optical fiber grating sensor is fabricated and evaluated experimentally. A combination sensor of three Long Period Gratings LPGs and one Fiber Bragg Grating FBG is fabricated and coated by polyimide in order to enhance the performance and the sensitivity of the new sensor for temperature and refractive index measurements. The gratings were written on the chemical etchant Single Mode Fiber SMF and then coated by polyimide. The new sensor was tested under different temperatures range from 25 °C to 38 °C and under different concentration of NaCl solution ranging from 0% to 5% corresponding to 1.3305 RIU to 1.3410 RIU. An investigation of sensor performance, repeatability and stability tests were carried out. The sensor exhibits a linear performance and a good stability during one hour of testing. For the (3LPGs-FBG) sensor, the temperature sensitivity was estimated to be 2.8 pm/°C and the refractive index sensitivity was estimated to be 16.078 nm/ RIU. The new (3LPGs-FBG) sensor provides number of advantages among other configurations such as low costs, compactness, accurate sensitivity and finally easy fabrication process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".