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Record W2269021165 · doi:10.5539/mas.v9n13p231

Study on Electromagnetic Shielding of Infrared /Visible Optical Window

2015· article· en· W2269021165 on OpenAlexvenueno aff
Sun Yan-jun, Wu Song-hang, Wang Li

Bibliographic record

VenueModern Applied Science · 2015
Typearticle
Languageen
FieldEngineering
TopicOptical Systems and Laser Technology
Canadian institutionsnot available
FundersPeople's Government of Jilin ProvinceNatural Science Foundation of Jilin Province
KeywordsPhysics

Abstract

fetched live from OpenAlex

In allusion to electromagnetic radiation damage that existed in daily life, social safety and military field, electromagnetic shielding technology of infrared and infrared optical window was studied. Transparent conductive film mesh was proposed in optical window, the mesh is composed of oxide films including ITO, SnO2 etc, for decreasing infrared and visible low transmission problem of traditional metal mesh. The effects of photoelectric properties comes from mesh line width and cycle was analysised in this paper, different line width and cycle ITO film mesh was manufactured,by the way of coating、lithography and chemical erosion method. The Comparison Study of ITO film mesh and metal mesh, we concluded that infrared transmission of ITO mesh is higher than metal mesh, and even more than 10%; that shielding efficiency of ITO mesh is lower than metal mesh, but the gap is less, only 2~3dB. So it has practical value by ITO mesh instead of metal mesh.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.001

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 head0.022
GPT teacher head0.239
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), 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

Citations20
Published2015
Admission routes1
Has abstractyes

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