NOVEL PROPOSAL FOR AN ON LINE AND IN REAL TIME AIR QUALITY MONITORING GADGET
Bibliographic record
Abstract
Air quality is a very important issue for the contemporary society, in order to sustain its future.Due to the fact that in Timi oara city, as in most metropolitan areas with urban agglomerations and developed transport system, atmospheric pollution rules and maximum admitted values are frequently exceeded, an air quality monitoring system, more simple and not costly, is needed, to complete the real time pollution level/picture, in areas that are not constantly monitored by national grid systems.Its usefulness is to prevent possible major air pollution, which can put people's life, sustainable development and wellbeing at risk.The present paper refers to a proposal is to design and develop a mobile air quality measurement device.Measurements will be accomplished in real time.There are two ways to realize this device: (i) first, to operate autonomously, with a led display, on which real-time measurements are taken; (ii) And the second variant is that the device works with a mobile device and communicates through a data protocol.The transducer will measure the concentration of PM2.5, PM10, NO x .Throughout this paper highlights the advantages and disadvantages of each of the two solutions (gadgets) proposed above.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".