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Record W6940129786 · doi:10.60928/b70x-spx0

A 12-bit, 0.9-µs Single-Slope ADC for Embedded TDI-CCD and CMOS Line-Scan Image Sensor

2024· article· en· W6940129786 on OpenAlexaff

Bibliographic record

VenueIISS online library · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsDalsa Corporation
Fundersnot available
KeywordsCMOSImage stitchingImage sensorPixelProcess (computing)Line (geometry)CMOS sensor

Abstract

fetched live from OpenAlex

Line-scan image sensors are primarily used in various machine vision applications such as defect inspection and goods sorting, and in scientific applications such as space observation. Need for higher data throughput is pushing line rate requirements to 100+ kHz. New analog-to-digital converter (ADC) technologies with faster conversion times are needed while still maintaining low noise, low power, and excellent linearity. In this paper, a single-slope (SS) ADC designed for a CMOS charge-coupled time delay and integration (TDI) image sensor is presented. The ADC employs a unique coding strategy to achieve a 12-bit conversion in less than 0.9 µs. A 270-kHz line rate has been demonstrated using the proposed ADC with an embedded TDI-CCD pixel array. The design uses 1.8-V supply and is realized in a standard 0.18-µm CMOS process with one-dimensional (1D) stitching capability, which is suitable for mainstream TDI and line-scan image sensors.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.998

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)0.0030.000

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 head0.021
GPT teacher head0.235
Teacher spread0.215 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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