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Record W6902625504 · doi:10.60928/55di-gxxr

Charge-Coupled CMOS TDI Imager

2024· article· en· W6902625504 on OpenAlexaff

Bibliographic record

VenueIISS online library · 2024
Typearticle
Languageen
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsDalsa Corporation
Fundersnot available
KeywordsCMOSPixelResponsivityTime delay and integrationImage sensorElectronic circuitIntegrated circuit

Abstract

fetched live from OpenAlex

A charge-coupled CMOS time delay and integration (TDI) imager is presented. CCD pixel arrays of varying sizes and configurations were monolithically integrated with CMOS peripheral circuits using a conventional 0.18 μm CMOS technology with custom CCD process modules. A 5 μm pixel variant with 256 TDI stages demonstrated a charge transfer efficiency (CTE) > 0.99999 per transfer and a full well capacity (FWC) > 30,000 electrons at a maximum TDI scan rate of 270 kHz. It also exhibited a non-linearity < 2%, a dark current density at 25°C of 3.7 nA/cm2 and a peak responsivity of 14,000 (DN12b)/(nJ/cm2) at 670 nm with capabilities of stage selection, bi-directional scanning and anti-blooming (AB) protection. The developed imager shows strong potentials to replace the traditional CCD-TDI imager in demanding applications including machine vision and remote sensing.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations4
Published2024
Admission routes1
Has abstractyes

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