Modelling IrSC: proposal options and performance analysis
Bibliographic record
Abstract
Proposed by IrDA, the Infrared Simple Connection (IrSC) protocol is a protocol dedicated for fast connection and instant data transmission over point-to-point infrared links. Although the protocol is still under development, it has attracted considerable attention from both manufacturers and researchers. The IrDA special interest group proposed two different technical approaches to address the requirements of IrSC. In this paper, technical approach 1 (IrSC1) and approach 2 (IrSC2) are modelled. Subsequently, the performance of IrSC1 and IrSC2 is compared. Additionally, the performance of unchanged IrDA Standard (IrDAS) is compared with both approaches. The contribution of this work is to clarify the issues for designing IrSC, and compare IrSC1 and IrSC2, in addition to providing suitable design guidelines for IrDA devices for high performance of IrSC.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".