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Gated Delay Line Up-Down Counters for Mixed-Signal Processing

2025· article· en· W7084109087 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInfections and bacterial resistance
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCMOSTransistorVoltageReduction (mathematics)Line (geometry)Voltage reductionLogic gate

Abstract

fetched live from OpenAlex

An edge-triggered bi-directional gated delay line thermometer up-down counter is proposed and its principle and operation are detailed. The proposed counter is designed in a TSMC 130 nm 1.2 V CMOS technology with a reduced supply voltage of 0.8 V. Simulation results show the counter functions well at <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{FF} / 0.8 ~\mathrm{V} /-20^{\circ} \mathrm{C}, \text{TT} / 0.8 ~\mathrm{V} / 27^{\circ} \mathrm{C}, \text{SS} / 0.8 ~\mathrm{V} / 60^{\circ} \mathrm{C}$</tex>, and 1 GHz with the presence of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\pm 10 \%$</tex> supply voltage noise. The proposed counter outperforms its MUX/DFF counterpart with 3x reduction in per-stage transistor count, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1.3 x$</tex> increase in the maximum frequency, and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1.14 x$</tex> reduction in the minimum supply voltage while consuming 38 % less power. The counter functions well at <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{FF} / 0.5 ~\mathrm{V} /-20^{\circ} \mathrm{C}, \text{TT} / 0.5 ~\mathrm{V} / 27^{\circ} \mathrm{C}$</tex> and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{SS} / 0.6 ~\mathrm{V} / 60^{\circ} \mathrm{C}$</tex> with reduced maximum frequencies. It outperforms recently reported up-down counters with the lowest FoM. The bit-depth of the counter can be readily increased by cascading more bit stages at the cost of 16 transistors/bit and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1.25 \mu ~\mathrm{W} / \text{bit}$</tex>.

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 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)0.000
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: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.006
GPT teacher head0.263
Teacher spread0.257 · 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 teacher head, 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

Citations1
Published2025
Admission routes1
Has abstractyes

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