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Record W4321609199 · doi:10.1109/tcsii.2023.3245562

A Wide-Range Low-Power Thyristor-Based Delay Element With Improved Temperature Sensitivity

2023· article· en· W4321609199 on OpenAlexafffund
Mahin Esmaeilzadeh, Yves Audet, Mohamed Ali, Mohamad Sawan

Bibliographic record

VenueIEEE Transactions on Circuits & Systems II Express Briefs · 2023
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsSensitivity (control systems)NotationRange (aeronautics)MathematicsElectrical engineeringAlgorithmDiscrete mathematicsElectronic engineeringMaterials scienceArithmeticEngineering

Abstract

fetched live from OpenAlex

This brief describes an improved CMOS thyristor-based delay element (THDE) in which two current sources, digitally-controlled (DC) and voltage-controlled (VC), are implemented to demonstrate the design choice trade-offs and offer a wide range of delays. Both THDE designs show reduced temperature sensitivity while allowing an extended tuning range. Prototypes fabricated in a 0.35-$ {\mu }\text{m}$CMOS process exhibit measured delay range of 26 ns-$4.5 {\mu }\text{s}$for DC-based delay element and$16 {\mu }\text{s}$-5 ms for VC-based delay element. At their maximum delay amounts, the integrated THDEs consume 4.1 and$1.58 {\mu }\text{W}$, respectively, from a 3.3-V supply. Also, the fabricated delay cells show a temperature sensitivity of 900 and 2710 ppm/°C, respectively, when operating at maximum delay.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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
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

Citations2
Published2023
Admission routes2
Has abstractyes

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Same venueIEEE Transactions on Circuits & Systems II Express BriefsSame topicAnalog and Mixed-Signal Circuit DesignFrench-language works237,207