MétaCan
Menu
Back to cohort
Record W2087609367 · doi:10.1109/newcas.2012.6329061

Passive voltage level shifters for analog signaling

2012· article· en· W2087609367 on OpenAlexaff
Xiongliang Lai, Fei Yuan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsVoltageVoltage dividerCMOSElectrical engineeringSIGNAL (programming language)Overdrive voltageElectronic engineeringDropout voltagePower (physics)DiodeEngineeringVoltage regulatorComputer sciencePhysics

Abstract

fetched live from OpenAlex

Passive voltage level shifters for analog signaling are proposed. The proposed voltage level shifters utilize the unique characteristics of diode-based voltage clampers and voltage rectifiers and shift the median value of an incoming analog signal in either positive or negative directions. The amount of voltage shift can be a multiple or a fraction of the amplitude of the input signal. The proposed voltage level shifters are powered by the incoming signal, making them particularly attractive for applications where power consumption is critical. The simple configurations of the proposed voltage level shifters also make them well suited for high-frequency applications. The proposed voltage shifters are designed in IBM 130 nm 1.2 V CMOS and analyzed using Spectre with BSIM4.4 device models. The performance and theoretical results of the proposed voltage level shifters are validated using simulation results.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.042
GPT teacher head0.234
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations3
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicAnalog and Mixed-Signal Circuit DesignFrench-language works237,207