Bibliographic record
Abstract
This paper presents defect tolerance strategies for islandable-microgrid sensors both at the sensor level and at the matrix (or deployment) level. A microgrid is a group of interconnected distributed power/energy sources and loads with well-defined electrical boundaries that act as a single controllable entity with respect to the main grid or other micro-grids, and can connect or disconnect from them to operate in both grid-connected or island modes. Often the control for islanding depends on the monitored voltage and frequency - and sometimes the phase and even the harmonic content, of the units involved. Therefore, accurate estimation of these parameters - especially in transient modes - is critical for successful islanding. We propose Interpolated FFT for this objective, which does not need adaptation and appears to perform well with high accuracy. Also, IpFFT can be implemented on a chip, and is therefore amenable to distributed deployment. Defect tolerance in the sensor system is important for such sensors including fabrication-time yield enhancement, in field self-repair, and system level recovery. The paper discusses a VLSI architecture for the IpFFT algorithm, needed IC cells, with emphasis on defect and fault tolerance from the VLSI chip point of view.
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How this classification was reachedexpand
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".