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Record W2041855053 · doi:10.1021/ie030799y

Application of a VSM-Based Process Control to a Bench-Scale Anaerobic Digestor

2004· article· en· W2041855053 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2004
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsBiotechnology Research Institute
Fundersnot available
KeywordsAnaerobic digestionBiogasProcess (computing)AcidogenesisProcess engineeringAnaerobic exerciseController (irrigation)Computer scienceEnvironmental scienceWaste managementChemistryEngineeringMethane

Abstract

fetched live from OpenAlex

A variable structure model (VSM) was used for online control of a bench-scale anaerobic digestor. The VSM consisted of three submodels, which described the methanogenic, organic overload, and acidogenic states of the digestion process. Submodel activation was handled by a knowledge-based system, which used online measurements of the digestor pH and biogas composition to identify the process state and thereby select an appropriate leading submodel. Separate controllers were designed for each submodel, but only the controller corresponding to the leading submodel was applied at each instant. Experimental validation of the VSM-based feedback process control in a 5-L anaerobic digestor showed a stable process performance under various operating conditions.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.022
GPT teacher head0.289
Teacher spread0.267 · 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