A Numerical Study on the Interaction Between Different Position of Cellular Headsets and a Human Head
Bibliographic record
Abstract
In this paper the interaction between a human head exposed to a bluetooth-based cellular headset in different positions is studied. The exposure to the electromagnetic fields is a concern when people use these devices. The interaction of human head and bluetooth mobile headsets has not been considered in related standards. In this research three installed positions for the headset and two scenarios for the user are defined. In the first scenario the user is in free space and in the second scenario the user is in a car. For both scenarios path loss, antenna gain, total isotropic sensitivity, and specific absorption rate values for three positions of the headset on the head are obtained. SEMCAD X software is used as an FDTD-based simulation platform for our numerical studies. The result of our study can help manufacturers to consider the compatibility of these devices with safety guidelines of electromagnetic exposure specified by relevant institutes. Designers of wireless devices can use results of this study to design new headsets that can be used in an appropriate position while the performance of the device is less affected by the human head and the environment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".