MétaCan
Menu
Back to cohort
Record W2365135232

Research on Applying the Embedded Linux into the Mud Logging Unit

2007· article· en· W2365135232 on OpenAlexvenueno aff
Bao Jian

Bibliographic record

VenueMicrocomputer applications · 2007
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Computational Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceOperating systemEmbedded systemMud loggingLoggingController (irrigation)SoftwareLoginComputer hardwareDrilling fluidDrillingMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Aiming at the current situation of domestic and international oil field well drilling,this paper proposed the mud log- ging unit which was suitable for dispersed monitoring system of well group.This system adopted Linux embedded operation sys- tem as the core.This paper emphasized on the characteristics of the embedded Linux operation system and the way they use em- bedded Linux to construct the complex control system.By comparing with the current control system of mud logging unit,the authors illustrated the merits of applying the embedded Linux into the mud logging unit.The focal point was to discuss the de- sign methods of the software and hardware that constructing its controller.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.844
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.001
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 head0.063
GPT teacher head0.405
Teacher spread0.342 · 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.

Study designNot applicable
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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueMicrocomputer applicationsSame topicAdvanced Computational Techniques and ApplicationsFrench-language works237,207