Bibliographic record
Abstract
A 3 DOF micromirror is controlled to steer a laser beam for laser scanned display. The micromirror consists of a 1 mm mirror plate which is driven by four repulsive-force rotation electrostatic actuators. The micromirror is fabricated using the surface micromachining process, PolyMUMPs. The overall size of the micromirror including the four actuators is 3.5 mm by 3.5 mm. Each actuator can be controlled individually by varying the applied voltage. When in operation, changing the voltage in one or two actuators will tilt the mirror towards a desired direction. Thus, by controlling the voltages applied to the four repulsive-force actuators, the micromirror can be rotated to stir the laser beam. Three micromirrors are integrated with lasers and optics to form a low cost and portable vector graphic display device that is integrated as a head-up display system for automotive systems. The laser beams are steered at high speeds to produce a static image on a screen. The integrated device consists of a TTL modulated laser module, which includes a plano-convex lens used to focus the laser beam, and a biconcave lens to magnify the output image. The integrated system is able to display navigation information and vehicle notifications to the driver.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".