Using Gypsum Material as the Substrate for Inside Wall Embedded Wireless IoT Sensors
Bibliographic record
Abstract
In this paper the drywall (Gypsum material) which is the main material that is commonly used inside the buildings is directly considered as the dielectric substrate to develop two planar antennas. This makes it possible to take into account the effect of surrounding materials by integrating the radiating antenna with these materials while reducing the cost for Internet of Things (IoT) applications in smart buildings. To verify the capability of Gypsum material, two planar antennas are designed to operate at 2.4 GHz IEEE 802.15.4 standard. The measured results reveal a bandwidth of 2.37-2.53 GHz (6.5%) and a gain level of 5.83 dBi for the fabricated patch antenna, while the same characteristics for the fabricated modified high gain antenna are 2.2-2.8 GHz (24%) and 12.83 dBi, respectively. The measurements are in fine agreement with simulation predictions which verifies the usefulness of using the Gypsum material as the substrate.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 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".