Inspecting safety level of bluetooth headset radiation in the vicinity of human head: A numerical study
Bibliographic record
Abstract
Bluetooth headsets are one of the popular accessories of mobile phones because of their convenience. It is necessary to assess the impact of electromagnetic waves on the human head when a person is using a headset. In this paper different scenarios closely modeling the situations that a subject may use the headset in real life are simulated. Simulations are performed for two types of materials commonly used to manufacture the headsets, namely silicone and acetal, and for two different orientation angle of the headset on the ear. Specific Absorption Rate (SAR) and path loss values are then obtained for two different environments, the open space and inside a car. SEMCAD-X software is used as a FDTD-based simulation platform for our numerical studies. It can be seen from the results that the minimum amount of SAR is obtained by using acetal headsets in open space and sillicone headsets inside the car for an angle of 60°.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".