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Record W2091050906 · doi:10.1109/mssc.2012.2193073

Out of Thin Air: Energy Scavenging and the Path to Ultralow-Voltage Operation

2012· article· en· W2091050906 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 Solid-State Circuits Magazine · 2012
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsElectronicsEnergy harvestingEnergy (signal processing)Computer sciencePath (computing)Efficient energy useVoltageElectronic circuitElectrical engineeringPower (physics)SIGNAL (programming language)Frequency scalingPower electronicsEngineeringPhysicsComputer network

Abstract

fetched live from OpenAlex

In recent years there has been much interest in and progress toward the design of energy efficiency systems. The ultimate vision is to operate electronic circuits from ambient energy (see Figure 1). Gene Frantz, a pioneer in signal processing architectures and systems, has driven the vision of ultralow-power electronics. To continue scaling the energy per operation, Gene has proposed a number of concepts, from the use of new signaling and computing schemes to ultralow-voltage (ULV) design, multicore signal processors, and new computational substrates. He has also outlined the critical components of an energy-harvesting system, including the notion of an energy buffer. This article addresses one critical aspect of ultralow-power electronics: ULV design, along with the required support structures.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score0.917

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 head0.012
GPT teacher head0.222
Teacher spread0.210 · 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