Schemes of bandwidth allocation for the transmission of medical data
Bibliographic record
Abstract
In this paper, two bandwidth allocation schemes for the transmission of medical data in the IEEE 802.11n based WLAN are proposed. These two schemes are based on the same idea: offline medical data are transmitted on the subcarriers for online traffic when these subcarriers are available; otherwise, these data are stored in patient devices. This is a tradeoff between the traffic load in the WLAN and the memory size of patient devices. Based on this idea, two schemes are designed to save the required number of subcarriers. The difference between these two schemes is that the first scheme only focuses on saving subcarriers, while the second scheme takes into account saving subcarriers and the security of data stored in patient devices. Next, the relationship of device memory and the probability of illegal access to data is discussed. Finally, the number of required subcarriers and the probability of illegal access to data are compared in these two proposed schemes. In addition, these two proposed schemes are also compared with a traditional scheme, which is viewed as a benchmark.
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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".