High-Sensitivity Microwave Sensor for Continuous Monitoring of Water-borne Suspended Solids
Bibliographic record
Abstract
This work introduces a highly sensitive microwave sensor system for real-time monitoring of suspended particle concentrations in water streams. The system employs a resonator-based tag positioned near the water sample and a coplanar waveguide (CPW) reader for wireless interrogation. When particles are suspended in water, they alter the dielectric properties, modifying the tag's resonant frequency through electromagnetic interactions. The CPW reader wirelessly captures these frequency shifts. The non-contact approach eliminates contamination risks while enabling continuous monitoring without interrupting water flow. Kaolin (KL) particles were examined as a representative suspended material in irrigation water. Experimental results demonstrate a total frequency shift of 1.7 MHz across 0 to 50 gIL concentration range, corresponding to 34 kHz per g/L sensitivity. This substantial shift is achieved despite only 1.74 % variation in real permittivity, highlighting the sensor's high sensitivity to subtle dielectric variations. Initial studies on deposition time rates were also conducted on three selected concentrations.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".