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Record W2066677590 · doi:10.1142/s0218126609005332

ON-CHIP POWER-EFFICIENT CURRENT FLATTENING CIRCUIT

2009· article· en· W2066677590 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

VenueJournal of Circuits Systems and Computers · 2009
Typearticle
Languageen
FieldComputer Science
TopicCryptographic Implementations and Security
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMicrocontrollerElectrical engineeringCMOSApplication-specific integrated circuitComputer scienceChipDissipationPower (physics)Integrated circuitCircuit designElectronic circuitElectronic engineeringConstant power circuitVoltageEmbedded systemEngineeringPower factor

Abstract

fetched live from OpenAlex

This paper presents a control circuit which regulates the current consumption of integrated circuits using current injection and voltage scaling techniques. The control circuit can be integrated with smart cards as a countermeasure against power analysis attacks and electromagnetic emanation analysis attacks. We have designed the proposed circuit in 0.18 μm CMOS technology at 1.8 V power supply. The simulation results show that the circuit controls the current through the power supply pin of a model of a smart card microcontroller and attenuates the peak-to-peak current variations by 95%. The power dissipation overhead of the control circuit is less than 20% of the original power dissipation of the smart card microcontroller. Comparing the layout area of the proposed circuit with that of an ASIC 3-DES algorithm in the same technology shows that the control circuit only constitutes 4% of the cryptographic processor. The proposed circuit proves to be especially useful for smart cards and small portable devices, where power dissipation and chip area are critical.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.685
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.024
GPT teacher head0.267
Teacher spread0.243 · 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