Optical Vivaldi Antenna Array for Solar Energy Harvesting
Bibliographic record
Abstract
In this paper, we try to find the best solution for our energy harvesting application by designing an efficient optical antenna which receives the solar radiation and converts it from AC to DC by integrating a rectifier. This work consists of designing a Vivaldi optical antenna with a maximum electric field captured in its gap. We also examine the use the optical array(double, four and eight) in order to increase the captured electric field concentrated in the common gap, compared to the single structure . Feeding lines are used to ride the captured electric field from the gap of each single antenna to a common gap. These innovative systems are small electronic devices often consisting of a low-power computer, wireless sensors, an antenna and capable of communicate with their environment. These devices also have an on-board energy source in the form of cells or batteries that require maintenance operations. periodic replacement or recharging, which can hinder the mobility and deployment of these communicating systems for the greatest number. This is the reason why we Today, we also note the very strong interest in improving energy autonomy and even the complete independence of these systems with respect to on-board sources.
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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 | 0.000 | 0.000 |
| 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".