Study on optimal temperature furnace curve based on wavelet transform algorithm
Why this work is in the frame
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Bibliographic record
Abstract
Based on the equation of furnace temperature curve, the objective function is established by integral, and then the constraint condition is established according to the process boundary. Wavelet transform algorithm to finally, finally the optimum furnace temperature curve, can draw 185 DHS C (small temperature range 1 ~ 5), 208 DHS C (small temperature zone 6), 240 DHS C (temperature range of small 7), 252 DHS C (temperature range of small 8 ~ 9), the corresponding area of 968.24 cm2, again USES the wavelet transform algorithm, and the function such as secondary derivative method, first to second derivative of furnace temperature curve function, make the secondary derived function is obtained through origin of coordinates. Then the constraint conditions and objective function were established. Finally, when the optimal furnace temperature curve was reached, 183°C (small temperature range 1~5), 205°C (small temperature range 6), 241°C (small temperature range 7) and 253°C (small temperature range 8~9), the corresponding area was 1096.38cm2.
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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 it