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Record W2076628454 · doi:10.3169/itej.62.368

A Wide Dynamic Range CMOS Image Sensor with Improved Heat-Resistance and Image Quality at High Temperatures

2008· article· en· W2076628454 on OpenAlexaff
Koichi Mizobuchi, Satoru Adachi, Tomokazu Yamashita, Seiichiroh Okamura, Hiromichi Oshikubo, Nana Akahane, Shigetoshi Sugawa

Bibliographic record

VenueThe Journal of The Institute of Image Information and Television Engineers · 2008
Typearticle
Languageen
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsMaterials scienceVideo Graphics ArrayOptoelectronicsDynamic rangePixelCMOSLayer (electronics)Image sensorSpectral lineWide dynamic rangeOpticsComposite materialPhysics

Abstract

fetched live from OpenAlex

A 1/4-inch VGA wide-dynamic-range complementary metal oxide semiconductor (CMOS) image sensor with resistance to high temperatures has been developed using a lateral overflow capacitor in a pixel, a very low dark-current front-end-of-line (VLDC FEOL) , and either an inorganic cap layer on an on-chip-micro-lens (OCML) or a metal hermetically sealed package to suppress the degradation of the spectra response of the OCML and color filter. The dark current level was reduced to 25e-/sec/pixel at 60°C. Sensor chips with no cap and ones with the inorganic cap layer on the OCML were assembled into either a metal hermetically sealed package or a conventional package. The chips with the inorganic cap layer and the ones with the metal hermetically sealed package showed no significant degradation of the spectra response in any of the R/G/B pixels even after a thermal stress test at 150°C. Improved image sensing performances were observed up to 85°C, and the dynamic range was extended to 94dB.

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 score0.509
Threshold uncertainty score0.461

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)0.0000.000

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 head0.004
GPT teacher head0.195
Teacher spread0.191 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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