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Record W1922853344 · doi:10.1109/cca.2003.1223178

Design and implementation of an Internet-based embedded control system

2004· article· en· W1922853344 on OpenAlexaff
Hongtao Yang, Roy Eagleson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicReal-Time Systems Scheduling
Canadian institutionsWestern University
Fundersnot available
KeywordsThe InternetComputer scienceEmbedded systemUnified Modeling LanguageModularity (biology)MicrocontrollerControl systemReal-time Control System SoftwareModel-based designSoftware engineeringRoboticsSoftwareOperating systemSoftware systemRobotEngineeringComponent-based software engineeringArtificial intelligenceSimulation

Abstract

fetched live from OpenAlex

The inclusion of Internet communication within the loop of control is innovative compared with the design methodologies of classical control system. This paper presents the design and implementation of a web-based, real-time temperature control system using an Internet-based embedded microcontroller. The UML classes are employed to encapsulate the system architecture to be consistent with the modularity configuration of the controller and software engineering design methodologies. By applying standard Internet protocols (HTTP and SMTP), the remote user may monitor system performance and modify control parameters with the general Internet browser. The test results show the promise of Internet-based control systems for many real-world applications such as tele-manufacturing and tele-robotics.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

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 communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.269
Teacher spread0.256 · 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 designBench or experimental
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

Citations7
Published2004
Admission routes1
Has abstractyes

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