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Design of a 5-Bit Current Steering DAC for Driving High Forward Voltage LEDs

2021· article· en· W3199773048 on OpenAlexaff
Seyedfakhreddin Nabavi, Aref Pourzadi, Sharmistha Bhadra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsMcGill University
Fundersnot available
KeywordsLight-emitting diodeVoltageDiodeSIGNAL (programming language)Computer scienceBrightnessCurrent (fluid)Electrical engineeringLED circuitElectronic engineeringEngineeringPhysicsOpticsShort circuit

Abstract

fetched live from OpenAlex

Over past decades, light-emitting diodes (LEDs) have been identified as an ordinary part of many industrial and biomedical applications and many attempts done to enlarge their versatility. This paper proposes a 5-bit current steering DAC with the capability of driving two LEDs in a commercial OSRAM photoplethysmography (PPG) sensor which have different forward voltages. The DAC operates based on the thermometer-code conversion and is designed for 65 nm TSMC technology. Combined with a LED driver circuit it is able to convert a 5-bit digital input to an LED current signal. Results indicate that the implemented DAC can reach up to 50 M samples per second (MS/s) and changing its input by 1 LSB leads to 940 µA variation in the LED current. It is shown that the DAC system can independently drive two LEDs with the forward voltages of 1.8 V and 2.8 V at different time instants. According to the binary input signal of the DAC, the amplitude of the driving current signal, which identifies the brightness of LEDs, can be varied between 3.29 mA and 32.45 mA at a maximum frequency of 50 KS/s.

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: none
Teacher disagreement score0.890
Threshold uncertainty score0.859

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 head0.022
GPT teacher head0.241
Teacher spread0.219 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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