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Record W2886067508 · doi:10.1177/1687814018789781

A tilt compensation system for translation micromirror

2018· article· en· W2886067508 on OpenAlexaff
Yuan Xue, Siyuan He

Bibliographic record

VenueAdvances in Mechanical Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTilt (camera)Digital micromirror deviceTranslation (biology)Compensation (psychology)OpticsRotation (mathematics)PhysicsComputer scienceEngineeringComputer visionChemistryMechanical engineering

Abstract

fetched live from OpenAlex

A tilt compensation system is presented in this article to compensate the tilt in the translation micromirror used in miniaturized Fourier transform infrared spectrometers. This compensation system can not only be used for the micromirror tested in this article but also be applicable to any translation micromirror with undesired tilt about one fixed axis. The compensation system consists of only a compensation micromirror and a reflecting mirror. The compensation micromirror rotates an angle of the same magnitude and same direction as the translation micromirror’s tilt. The compensation micromirror has its rotation axis parallel to the tilting axis of the translation micromirror, which is identified using a position sensing detector–based setup introduced in the article. Experimental results show the tilt of the translation micromirror can be compensated to 0.026° from the original tilt of 0.24°.

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: Methods · Consensus signal: none
Teacher disagreement score0.736
Threshold uncertainty score0.583

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 head0.013
GPT teacher head0.247
Teacher spread0.234 · 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
GenreMethods

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

Citations1
Published2018
Admission routes1
Has abstractyes

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