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Record W2896149805 · doi:10.1109/soli.2018.8476783

Beam Scanning UHF RFID Reader Antenna Design for Metal Environment Application (Invited paper)

2018· article· en· W2896149805 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsnot available
Fundersnot available
KeywordsRadiation patternStanding wave ratioPeriscope antennaAntenna measurementAntenna (radio)Electrical engineeringOpticsMaterials scienceMicrostrip antennaEngineeringPhysics

Abstract

fetched live from OpenAlex

A two-dimensionally scanning (2D) antenna array and polling beam scanning antenna array is designed in UHF RFID system with high stability and reliability in metal environment. The two-dimensionally scanning (2D) antenna array is composed of 3×3 antenna array, a feeding network and switches. The measured -10dB impedance bandwidth is around 30MHz. The scanning beam directions covers ±60° and scanning direction gain is 9~10dBi, respectively. The polling beam scanning antenna array is composed of three 1×2 planar inverted-F antenna (PIFA) arrays and polling beam scanning feeding network consisting switch and control module. The measured bandwidth is 50MHz (895-945MHz) under the condition of VSWR less than 2, covering Chinese, Canadian, Korean, and Australian standard of frequency ranges. The steering radiation pattern is -20°, 0°, and +25° in xoz-plane. The read rate achieve 100% in the metal environment.

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: Methods · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score0.588

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 communication0.0000.000
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 head0.017
GPT teacher head0.225
Teacher spread0.209 · 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

Quick stats

Citations8
Published2018
Admission routes1
Has abstractyes

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