Sustainable Maintenance of Navigation Channel: The Case of Port Tanjung Pelepas (PTP) Port
Bibliographic record
Abstract
Maritime industry is the cradle of all modes of transportation where port is and ship is necessary to facilitate trading through marine transportation. Human development and demand for international trade has resulted to need for economic of large scale for ships. Recently, there is continuous growth or need for larger and sophisticated ship through increasing shipping activities and this has lead to design and production of sophisticated state of art safety oriented marine vehicle in term of size, speed and structure- albeit, this safety based designed development is out of phase with conditions of navigation channels. To create a balance for safe navigation in inland port which are considered to be restricted water, this big ships will ply, it is necessary to maintain the channel to keep accepting the target largest vessel , and the channel should be maintain at frequency the ship building are growing. This paper presents the result of application of best practice simplified method for channel maintenance against vessel design and reception requirement. The model is used to calculate channel dept requirement to be maintain for Port Tajun Palapes (PTP) in Johor, Malaysia which arrived at 15.2. The paper also discusses reservation regarding sustainability reservation requirement for channel maintenance.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".