Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A novel low-power image sensor with dual analog power supply 1.8 and 1.1 V during image capture stage is proposed. Different from a traditional imager having a unique analog power for image capture, the proposed imager works on blocks of 8 × 8 pixels and the power supply for each block is selected according to the estimated variance inside the block. For the blocks with large variance, high supply voltage will be chosen to achieve high imaging performance; otherwise, low supply voltage will be used to save power. In addition, the power gating method is applied to the additional computation circuits to save power further. Theoretical analysis and simulation results by Matlab and Cadence are given to demonstrate the efficiency of the proposed methodology. The amount of power saved by the proposed imager varies from image to image. Theoretically, up to 37% of power can be saved for images with predominant background, while no noticeable quality degradation of the reconstructed pictures after compression and decompression is perceived (PSNR reduced by less than 1.5 dB). The chip is implemented in TSMC 0.18 μm CMOS technology and simulated by Spectre Cadence. The total power consumption of the additional computation logic is only about 7.0 μW .
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it