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Record W2116260082 · doi:10.1109/acc.2000.876970

Interactive control education with virtual presence on the Web

2000· article· en· W2116260082 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsQuanser (Canada)
Fundersnot available
KeywordsVRMLComputer scienceThe InternetMultimediaWorld Wide WebControl (management)Controller (irrigation)Web applicationWeb navigationVirtual realityHuman–computer interactionArtificial intelligence

Abstract

fetched live from OpenAlex

The recent technological advances in the Internet have enabled a multitude of applications to operate via the World Wide Web (WWW). One area that has been explored is the use of the WWW as a teaching medium. To this end various institutions are offering online courses which student from all over the world could subscribe to and attend. For a full review on this area as applied to control engineering, the reader is referred to the paper by Poindexter and Heck (1999). This paper describes a new technology that uses the web to teach feedback control interactively via the WWW. We describe a helicopter model located remotely with which a user can interactively modify a controller and evaluate performance using a web page. Furthermore, in order to visually observe system response in a dynamic fashion, a 3-DOF VRML model is animated using real data streaming back from the actual system.

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 categoriesInsufficient payload (model declined to judge)
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 score0.241
Threshold uncertainty score1.000

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)0.0010.000

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 head0.002
GPT teacher head0.189
Teacher spread0.187 · 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

Quick stats

Citations36
Published2000
Admission routes1
Has abstractyes

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