Design and Research of an Optical Fiber F-P Ultrasound Sensor with High Directivity Sensitivity
Bibliographic record
Abstract
Optical fiber F-P ultrasound sensor deviates from working point easily in practical applications. The system of low fineness optical fiber F-P sensor is designed based on the technique of dual wavelength stabilization. A dual wavelength optical fiber F-P sensing system mathematical model of DE algorithm is set up. The sensing system with higher quadrature precision is optimized and designed. Laser ultrasound detection system is established based on the sensor. Experimental research on the effectiveness of the sensor to detect ultrasonic signal sensitivity and direction is processed. The results show this sensor can detect ultrasound surface wave signals availably. The amplitude of surface wave is the biggest when the angle between laser source and sensor's axial direction is zero degree.And the amplitude of surface wave decreases along with increasing the angle between laser source and sensor's axial direction. The amplitude descends 80% when the angle between laser source and sensor's axial direction is ninety degree. These demonstrate that the sensor has sensitive directivity.
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 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".