Design of Smart Wearable for Quality Analysis
Bibliographic record
Abstract
This study introduces an advanced portable device using reliable wireless technology to establish the communication between people and nearby equipment. Due to modernization, the electronic devices require a compact antenna. The compact size, low cost, and better efficiency is the key requirement of the current research. This study is mainly focused on the ultra-wide band antenna of notched antenna, which is simulated using different substrate mounted on a ground and is generally attached to some part of the ground surface. A rectangular substrate with dimensions 25mm×23mm×1.5mm is inserted within the ground and patch. The dimensions of radiating antenna placed on the substrate is 15mm×15mm×0.035mm and for the Ultra-Wideband (UWB) antenna the resonant frequency is 4.8GHz and 10.3GHz respectively and its fractional bandwidth is 110% in the frequency range of the 3.1GHz to 10.7GHz. The simulation is performed in HFSS 2021. After obtaining all the parameters of the antenna, which is comparatively analyzed by using the different types of the substrate material like FR4, jeans, rubber, Rogers RT 5880 etc. The proposed antenna is useful for the wearable applications generally for the on or off body centric communication.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".