Research on data processing method of multi-spectral temperature field measurement device based on quarter-frame transient imaging
Why this work is in the frame
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Bibliographic record
Abstract
The quarter-frame transient imaging multi-spectral temperature field measurement device adopts the form of a single-focal plane detector quartile -frame lens combination, forms a four-band image in the four quadrants of the detector, and uses the multi-spectral algorithm to obtain the temperature field of the target, which can effectively reduce the temperature measurement error caused by emissivity and thermal background interference. Its data processing method is very different from that of conventional thermal imager. In this paper, the self-developed dual-band four-frame transient imaging multispectral temperature field measurement device is used, after a series of data processing, the measurement accuracy can be achieved within 1 % at 800 °C–3000 °C.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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