Miniaturized UHF RFID Tag Based on Dipole Antenna Loaded with Hexagonal Split Ring Resonators (H-SRR), Mounted on Metallic Objects
Bibliographic record
Abstract
This article introduces a new miniaturized UHF RFID antenna optimized for functionality within metallic environments like shipping containers, pallets, carts, and transportation vehicles. The aim of this kind of antenna is to be used for identification. The geometry comprises a dipole antenna bordered by two hexagonal resonators H-SRR (Hexagonal Split-Ring Resonator), loaded with a T-match network used to provide a good match of input impedance matching between the antenna and the chip. The tag is designed and manufactured on a rogers 4350B substrate with an overall size of 75$\mathrm{x} \ 35 \ \mathrm{x}$1.524 mm3, this proposed tag is matched to an UHF Alien H4 micro-chip which has an impedance$\mathrm{Z}_{\text{chip}}=23.27- j203.35 \Omega$at$868\text{MHz}$with −20.5 dBm sensitivity. Based on the simulation, it is estimated that the maximum reading range is over 9.8 m with an EIRP of 3.3 W.
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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) | 0.000 | 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 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".