An innovative machine for automated cutting of fish
Bibliographic record
Abstract
Summary form only given. This paper presents an innovative machine for fish cutting. The new machine does not possess many of the shortcomings of the Iron Butcher which is commonly used in the industry for head removal of fish. The machine uses a double-bladed rotary cutter, arranged in a V-configuration and driven by 3-phase induction motors, in order to improve the recovery of fish meat. Also, two servomotors have been used for positioning of the cutter with respect to a fish. An imaging system senses each fish and generates the desired cutting location, and positions the cutter accordingly. An ultrasonic sensor senses the thickness of each fish, and positions a delivery platform using this information. In addition to sensing the cutter loads, conveyor motion, and the performance of the servo systems, a secondary imaging system has been incorporated at the product-exit end of the machine to determine the cutting quality. This information is preprocessed on line and used in a knowledge-based supervisory control system, which is able to make the necessary adjustments in the machine if the performance is unacceptable.
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 | 0.000 | 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".