Bibliographic record
Abstract
Maritime operations occur in a rapidly changing and extremely dangerous environment. To improve handling of cargo while at sea, this thesis develops a method for combining active-heave compensation and anti-pendulum control for a combined world-frame compensation system. State estimation algorithms are applied using low-cost inertial sensors attached to the deck of the ship and to the body of the load. fixed set-point tracking tests and simulations with sinusoidal base excitation derived from the natural frequency of the pendulum w n = g/l p (Test 084-088 and 092-096; Simulation 084-1/2-088-1/2 and 092-1/2-096-1/2). The experimental results are summarized by the mean of all repetitions with error bars to indicate the standard errors, and the results are grouped by the corresponding motion profile. . . . . . . . 7.24 World position tracking data for variable set-point tests. . . . . . . . 7.25 Relative ellipsoid volume, distance travelled, and set-point tracking RMSE for variable set-point tracking tests and simulations with base excitation derived from scaled ship motion (Test 097-104; Simulation 097-1/2-104-1/2). The experimental results are summarized by the mean of all repetitions with error bars to indicate the standard errors, and the results are grouped by the corresponding ship motion profile. A.1 Ship Motion Profile 1: Full-scale and test-scale displacements [6]. . . A.2 Ship Motion Profile 1:
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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 | 0.000 | 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 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".