Upgrade of a multi-channel active noise control system for an industrial stack
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Active Noise Control (ANC) has been studied in the 90s as an innovative way to reduce the noise in specific situations. Some applications are well known today and found commercial success such as noise-cancelling headphones. However, the use of ANC in industrial applications is more complex, thus being an uncommon solution in this field. The use of ANC for industrial stack noise is one of these applications. One of the first large-scale implementation has been set up at the end of the 90s. This system was a 10-Channel ANC system installed on a 1.8 m wide chimney to attenuate a 320 Hz pure tone. At that time an 8 dB noise reduction was achieved at error microphones. In 2011, it has been decided to upgrade the system with the latest generation of Digital Signal Processor (DSP) allowing a real-time optimization and a better tracking speed. This paper describes the overall system and the updated multi-channel controller developed for this application. It also presents the improvements, the achieved noise reduction and the associated environmental benefits.
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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 | 0.001 |
| 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