Characterization of wireless indoor communication channel: Measurements and simulation
Bibliographic record
Abstract
The growing interest in wireless indoor transmission systems and practical applications of local area networks have resulted in many investigations on the propagation of radio waves inside buildings. Most of the work done in this field aims at experimentally obtaining the statistical characteristics of the signal. The results presented in this paper give a better understanding of the propagation behavior of 37.2 GHz signals in different environments, making it possible to predict the time delay propagation from a knowledge of the building structure. Reflections from walls also play a major role in maintaining a high signal level within a closed environment. These results encourage the application of this type of radio system for the development of secure local communication systems in well defined environments. In fact, most common building materials used for external walls and room partitioning are very effective in screening the signal. From the foregoing results, a highly unified numerical procedure to treat the complex bounded electromagnetic field problems is needed. Furthermore, a solution of the 3-D mathematical model based on the time-domain integral equation of the electric field is proposed using the Boundary Element Method.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".