System Immunity in HIRF/Lightning Environment and Interconnecting Cable Characterization Based on Functionality Mode
Bibliographic record
Abstract
The advances in electronics and software since two decades have increased the use of digital technology in modern aircraft. Because digital electronics are powered with low level energy and are made of miniatured components, they are very sensitive to electromagnetic energy. It takes a single glitch to change the entire information. Therefore, insuring the proper protection of critical systems against Electromagnetic energy is a must during early design phase of the modern aircraft. All the onboard systems that govern aircraft functions are interconnected by hundreds of meters of wires and bundles. Moreover, the immunity of any signal on board aircraft is for at least 50% guaranteed by the cable shielding effectiveness and the shield termination. Wiring acts like an antenna: it can either radiate or collect energy. If not protected, it may pick up any electromagnetic noise in the surrounding; consequently, unwanted energy can modulate signals and cause system malfunction. The criteria for choosing cables are governed by the functionality mode of the system (common mode or differential mode) and their Common Mode Rejection Ratio, and the signal immunity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".