Light-weight protocol simulation for binary data exchange over heterogeneous networks
Bibliographic record
Abstract
This paper presents a protocol for a near --real-time binary data exchange over Ad-Hoc networks, and heterogeneous networks. The protocol was tested with a software simulation and a real fully mobile system which monitors oxygenated hemoglobin (HBO) and deoxygenated hemoglobin (HB) concentration changes in the brain and tissues. The system uses global system for mobile communications (GSM) and Bluetooth networks. The system consists of three parts: a wireless near-infrared light sensor with Bluetooth support, a personal digital assistant (PDA) with Bluetooth and GSM support, and a personal computer (PC) connected to the internet. When the system starts, the sensor connects to the PDA using Bluetooth, and the PDA connects to the PC in the lab using GSM and the Internet. The system packages the acquired data using the protocol described in this paper (LayerPro). LayerPro performance was compared with the hypertext transfer protocol (HTTP). The results show that LayerPro performs better than HTTP when streaming binary data over heterogeneous networks
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".