Development of Ultrasonic Surface Acoustic Wave Humidity Sensors
Bibliographic record
Abstract
In a European project called CUBISM, humidity sensors based on IDT (Inter Digital Transducer) technology are developed for the generation and detection of surface acoustic waves (SAW).These sensors are designed to operate at high temperature (500° C) for monitoring the drying of refractory concrete.Indeed, this humidity monitoring is important because a sudden evaporation of the water during the achievement of the structure could lead to high pressures in the pores implying consequently the destruction of the structure.Thus, the optimization of the concrete drying cycle must be combined with relevant in-situ physical measurements (humidity, pressure, temperature) and thermomechanical modelling.The real-time availability of this physical data via specific sensors integrated into the concrete is therefore a key to effective drying monitoring.Thus, for this project and its specific constraints, we have chosen the development of SAW humidity sensors because they are the most suitable to meet the specifications.In this study, the optimized parameters include the nature of the humidity-sensitive layer, the nature of the piezoelectric substrate, the architecture of the electrode array and finally the electronic measurement setup.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".