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Record W2030793900 · doi:10.1109/mwscas.2009.5236125

Dynamic pupil reacting to incident light dedicated to ocular implants

2009· article· en· W2030793900 on OpenAlexafffund
Mohamad Wehbe, Mona Safi-Harb, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Imaging Technologies
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCMC Microsystems
KeywordsPupilIRIS (biosensor)Computer scienceController (irrigation)Human eyeComputer visionVisual prosthesisAnisocoriaLight intensityCompound eyeArtificial intelligenceOpticsPhysicsBiometricsRetina

Abstract

fetched live from OpenAlex

In this paper we propose an artificial human pupil, which is composed of a dedicated controller and a miniaturized display. The purpose of this system is to overcome the problem of post-prosthesis anisocoria for people with ocular implants, by creating iris diaphragm in the prosthetic eye with photosensitive receptors responding to light so as to work in symmetry with the normal eye. The proposed artificial pupil would acquire ambient light through a photosensor, convert the acquired signal to digital data, transform this data to light intensity and finally control the display accordingly. This system would replace the static iris of a prosthetic eye. Experimental results from developed prototype, and post-layout simulation results from the integrated controller faithfully reproduce the expected performance, which is in the form of a dilating and contracting pupil. The controller is implemented in 0.18 mum CMOS process and has a total area of 1.3 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .

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 score0.200
Threshold uncertainty score0.574

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 head0.005
GPT teacher head0.248
Teacher spread0.243 · 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".

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Citations0
Published2009
Admission routes2
Has abstractyes

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