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Record W2128161983 · doi:10.1049/iet-cds.2011.0279

Low-power oscillator for passive radio frequency identification transponders

2012· article· en· W2128161983 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIET Circuits Devices & Systems · 2012
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Windsor
FundersCMC Microsystems
KeywordsPower (physics)Electronic engineeringComputer scienceElectrical engineeringRadio-frequency identificationCMOSFrequency bandDynamic demandRing oscillatorPower budgetMicrowaveTelecommunicationsVoltageEngineeringSwitched-mode power supplyPhysicsBandwidth (computing)

Abstract

fetched live from OpenAlex

Passive radio frequency identification tags extract energy from incoming electromagnetic waves to power up their internal circuitry. Such a limited source of power demands efficient circuits to minimise the power consumption. In this work a new technique is proposed to design a low-power ring oscillator in which the voltage swing of internal nodes are constrained to lower the dynamic power consumption. The proposed power reduction technique can be employed for RFID tags operating over different frequency bands from low frequency (LF) to microwave. A low-power oscillator operating in the medium-frequency range (6–16 MHz) for applications such as electronic article surveillance and item management has been implemented in this work. Post-layout simulation results using STMicroelectronics CMOS 65 nm technology indicate that the proposed method can reduce the power consumption by more than 25%.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.015
GPT teacher head0.224
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