Study on the optimization of ship survey line placement based on multibeam bathymetry
Bibliographic record
Abstract
The multibeam bathymetry technology measures water depth strip by transmitting multiple beams through transducer, which is more efficient and accurate than the traditional bathymetry methods. In this paper, we focus on the measurement of the bathymetry of the sea area by multibeam sounding line. Firstly, we establish a two-dimensional discretization model to describe the relationship between the coverage width and the overlap rate of multibeam sounding. Secondly, we develop a three-dimensional mathematical model of the coverage width of the sounding vessel when facing the tilted seabed. Finally, by constructing the geometric model and single-objective optimization model, the shortest survey line planning scheme is given for the multibeam sounder while meeting the requirements of coverage and overlap rate. Through the construction of the above model, this paper draws the following conclusions: ① The distribution density of the survey line should be negatively correlated with the depth of the sea; ② Sailing along the isobath maximizes the width of the survey; ③ To achieve the shortest survey line, the direction of survey lines should always be parallel to the isobath.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".