Monitoring Thermal Stress in Wafer-Scale Integrated Circuits by the Attentive Vision Method Using an Infrared Camera
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Bibliographic record
Abstract
This paper is dedicated to the development of a thermal monitoring system for microelectronics based on the attentive vision approach as applied to image sequence analysis using an infrared camera. The attentive vision method implements multiscale image sequence analysis by a spatiotemporal attention operator to detect feature points, which are located inside potential thermal stress regions. The attention operator is a linear aggregation of temporal change and spatial saliency filters. The monitoring process is organized in two hierarchical phases: 1) peripheral and 2) focal. The focal monitoring is mostly carried out through the tracking of stress-relevant feature-point areas and analysis of their spatiotemporal descriptors. The thermal monitoring experiments conducted with wafer-scale integrated circuits have confirmed the reliability of the proposed approach and showed its high potential in image sequence analysis for monitoring purposes.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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