F-P Demodulation Method of Fiber Bragg Grating and Scale Changeable Sampling Technique
Why this work is in the frame
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Bibliographic record
Abstract
According to the particularity of weapon equipments system,F-P demodulation method was advance and analyzed to use in Fiber Bragg Grating sensor system.how to design and choice a F-P filter was provided,and the difficulty of F-P demodulation method used in dynamic parameter detection was pointed out.scale changeable sampling technique was introduced to deal with the problem and the difficulty of circuitry design was reduced.The result of experiment indicated that the data quantum of sampling was reduced heavily at a time of F-P scan,and the efficiency of data sampling was advanced,so the speed of demodulation was advanced more than five times and it′s precision wasn′t reduced.The paper provides conditions of application and research of Fiber Bragg Grating sensing technology used in army.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it