Assessing the viability of ultrasonic distance sensors for a wave profiling system
Bibliographic record
Abstract
This paper outlines a preliminary assessment of the viability of a novel direct wave height measuring method. The method employs a network of ultrasonic distance sensors mounted on an unmanned surface craft. The system will allow for vehicle relative wave height to be measured, while also extracting information about the directionality of the most significant waves. The paper discusses results from a set of preliminary tests conducted to determine whether ultrasonic distance sensors are capable of accurately measuring the shape of waves. When conducting the tests in the wave tank at Memorial University of Newfoundland, the ultrasonic sensor was mounted on a static platform above the water and pointed down towards the surface of the water. Waves of various amplitudes and frequencies were generated and the ultrasonic sensor's measurements were compared to those of a highly precise capacitance wave probe. There was a strong agreement between the ultrasonic sensor based and the wave probe readings. The data from the ultrasonic sensor was found to be suitable for measuring the height and shape of the wave for a large range of geometric configurations. Some of the limitations of the ultrasonic sensor compared to the capacitance wave probe are discussed in further detail in this paper.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".