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Record W2042696363 · doi:10.1109/syscon.2012.6189477

A multi-directional beam scanning RFID system

2012· article· en· W2042696363 on OpenAlexaff
Amar Sawadi, R. Rashizadeh, S. Erfani, Majid Ahmadi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBarcodeComputer scienceRadio-frequency identificationIdentification (biology)Antenna (radio)Communications systemRange (aeronautics)Computer hardwareEmbedded systemReal-time computingElectronic engineeringTelecommunicationsEngineeringComputer security

Abstract

fetched live from OpenAlex

One of the main advantages of Radio Frequency Identification (RFID) systems over the traditional barcode identification systems is that the direct line of site is not required for RFID tags. The potential of this key factor will not be fully materialized if the communication range of RFID systems remains below a few meters. For RFID tags to fully replace barcode labels, the communication range has to increase significantly. This work presents a new method to increase the communication range of RFID systems using a beam scanning method. A multi planner RFID scanning system using a directional antenna has been developed. As compared to the conventional RFID systems, the proposed scheme covers a larger area with a lower number of blind spots without consuming extra power.

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.

How this classification was reachedexpand

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.419

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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