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Record W1964636225 · doi:10.1109/imsna.2013.6742807

Simulator design and lab scale test of a gas filling station for Geiger Muller detectors

2013· article· en· W1964636225 on OpenAlexaff
Michael Bellicoso, R. Machrafi, Lixuan Lu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsOntario Tech University
FundersAreva
KeywordsSimulationProcess (computing)Interface (matter)DetectorComputer scienceGeiger counterTest benchSet (abstract data type)Current (fluid)EngineeringElectrical engineeringOperating systemEmbedded systemPhysics

Abstract

fetched live from OpenAlex

The paper presents the creation of a simulator for the Geiger Muller (GM) gas filling station. It simulates the entire gas filling process, from preparing for gas filling by vacuuming out the system to adding in different gases and sealing the detector. The simulator not only demonstrates the overall gas filling process, but also identifies certain steps that can be automated to speed up the process and reduce human error. An easy-to-use human-machine interface is created so that the operator is informed of the current state of the system and the operations that need to be performed manually. A lab scale bench top test is set up to demonstrate the implementation of the automated process. It shows that a Compact RIO system running on real-time environment can be used to communicate with the computer and control a motor. Finally, in order to integrate the simulator with the current gas filling station, the improvements that need to be made on the current station are identified.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.387

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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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 designSimulation or modeling
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

Citations1
Published2013
Admission routes1
Has abstractyes

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