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Record W2022670503 · doi:10.1117/12.853241

Development of high-performance low-reflection rugged resistive touch screens for military displays

2010· article· en· W2022670503 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsGeneral Dynamics (Canada)
Fundersnot available
KeywordsSpecular reflectionResistive touchscreenComputer scienceInterface (matter)Reflection (computer programming)Materials scienceReflectivitySputteringMobile phonePhoneOpticsTelecommunicationsNanotechnologyThin filmOperating systemPhysics

Abstract

fetched live from OpenAlex

Just as iPhones with sophisticated touch interfaces have revolutionised the human interface for the ubiquitous cell phone, the Military is rapidly adopting touch-screens as a primary interface to their computers and vehicle systems. This paper describes the development of a true military touch interface solution from an existing industrial design. We will report on successful development of 10.4" and 15.4" high performance rugged resistive touch panels using IAD sputter coating. Low reflectance (specular < 1% and diffuse < 0.07%) was achieved with high impact, dust, and chemical resistant surface finishes. These touch panels were qualified over a wide operational temperature range, -51°C to +80°C specifically for military and rugged industrial applications.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.263
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 communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.216
Teacher spread0.207 · 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