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Record W2924158788 · doi:10.1109/jrfid.2019.2905418

Screen Printed HF RFID Antennas on Polyethylene Terephthalate Film

2019· article· en· W2924158788 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Journal of Radio Frequency Identification · 2019
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsPolyethylene terephthalateMaterials scienceComposite material

Abstract

fetched live from OpenAlex

The performance of printed radio frequency identification (RFID) antennas is highly dependent on the electrical conductivity of the conducting tracks forming the antennas. In this paper, screen printed high frequency (HF) RFID antennas on polyethylene terephthalate (PET) film are reported, with the focus on the optimization of the post-processing procedures for the improvement of the conductivity of the screen printed conductive tracks. The electrical conductivity of the printed conductive tracks is significantly affected by the ink post printing processing conditions. The results show that drying the ink at ambient temperature, followed by heat treatment provides the optimum conductivity. This treatment also offers the highest quality factors for the screen printed HF RFID antennas. It was also found that pre-drying at 60°C followed by heat treatment achieves similar results with less processing time. The findings provide a low cost solution for screen printing high performance HF RFID antennas on plastic films.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.233
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it