Bibliographic record
Abstract
The purpose of this thesis is to develop a seat control system that can provide constant support to the seated passenger's back. While providing support, it is important to ensure that the pressure exerted on the passenger's back is not excessive. In addition, as the backrest reclines, the static seat-pan would cause the passenger to slide, leading to uncomfortable sitting posture. To address these issues, three subsystems have been developed in this thesis research including: i) following control system, ii) pressure control system and iii) synchro-tilt control system. The following control system controls the backrest to follow the movement of the passenger. The pressure control system senses and controls the contact pressure between passenger's back and seat cushion. The synchro-tilt control system synchronizes the rotation of seat-pan with the reclination of the seat backrest to avoid passenger's sliding. Then the three subsystems are integrated into a combined control system. Two cases are studied. The first one is for passenger to lean forward. In this case, when the passenger leans forward, the backrest will rotate forward to follow the passenger's motion under the following control. When the passenger stops motion, the control system switches to the pressure control to provide comfortable support. In the course of seat motion, the synchro-tilt control system is always on to rotate the seat-pan.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".