Effectiveness evaluation of devices for AC mains cable termination control to improve reproducibility of radiated emission measurement - based on the interim results of international inter-laboratory comparison -
Bibliographic record
Abstract
Specifications for the terminating condition of EUT cables leaving from test area have not been specified in any standards, although it is one of the sources of poor measurement uncertainty for the radiated emission measurement. To improve the reproducibility of a radiation emission measurement among test sites, VHF-LISN is proposed to simulate artificially AC mains network as the device for specifying the termination condition of the EUT power cable. For proposing standardization of VHF-LISN, an international inter-laboratory comparison test was proposed and it is being performed now by CISPR/SCI/WG2. Although the main purpose of the inter-laboratory comparison was to compare the result with measurement conditions of VHF-LISN and without the device, this comparison study has been performed with also including CMAD which was already standardized to a termination condition control device and CDNE which is currently planned to standardize, as the effectiveness evaluation of AC mains-cable termination control devices. From an intermediate result of the inter-laboratory comparison measurement, the standard deviation and the average value of data were summarized for two EUTs and five test conditions. As a tentative conclusion, the predominance of VHF-LISN has been confirmed with the factors analysis of cause in this paper.
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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 | 0.012 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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 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".