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Record W2352108971

ATmega128 Singlechi Pusing on Aircraft Electronic Oxygen Regulator

2009· article· en· W2352108971 on OpenAlexvenueno aff
Huidan Wang

Bibliographic record

VenueMicrocomputer applications · 2009
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsnot available
Fundersnot available
KeywordsRegulatorComputer sciencePressure regulatorController (irrigation)Automotive engineeringOxygenOxygen sensorControl systemComponent (thermodynamics)Control engineeringEngineeringElectrical engineeringChemistry
DOInot available

Abstract

fetched live from OpenAlex

Oxygen regulator was the core component of the Oxygen Supply System(OSS) which supplied enough oxygen or mix-oxygen to pilots by the oxygen supply laws.By analyzing the working principle and the control law of the OSS,a new control circuit and software based on the ATmega128 were designed for the new type aircraft electronic oxygen regulator(AEOR).After these,the validation experiments on the principle were carried out for the AEOR.By analyzing the influences of the motor speed,the inlet pressure et al.on the capability of the AEOR,the control program was optimized to adapt different flight states.The experiment results indicated that the controller with the ATmega128 singlechi Pcould control the AEOR accurately and the control program had good readability and efficiency.On the aspect of the breathing resistance,the experiment results of the AEOR were excelled to the existing technical index.The AEOR achieved the design request for the new aircraft Oxygen Supply System(OSS).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.099

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0300.004

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 head0.197
Teacher spread0.193 · 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 designNot applicable
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
Published2009
Admission routes1
Has abstractyes

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