Solar optical fiber daylighting system with an IR filter: Experimental and modeling studies
Bibliographic record
Abstract
Solar daylighting system based on low cost thermoplastic optical fiber cables is one of essential and practicable option to save energy associated with electric lighting as well as enhance the visual comfort and human health by using natural solar lighting. In this present study a low-cost solar light system consisting of thermoplastic optical fibers, parabolic mirrored surface and sunlight collector with glass filter to block infrared (IR) radiation, was developed to bring natural sunlight into buildings. The effect of the IR filtration mechanism on the temperature of the thermoplastic optical fiber and the output illuminance, has been examined. The experimental results obviously show that the IR filter would protect the thermoplastic optical fiber from the overheat damage without affecting the output illuminance, which could extend the life time of the thermoplastic polymer optical fiber. Furthermore, an intelligent model based on deep learning neural network (DNN) algorithm was used to predict the temperature at the inlet surface of the thermoplastic optical fiber bundles.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".