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Record W2898495177 · doi:10.1109/ppic.2018.8502239

Basics of Communication Networks for Electrical Engineers in the Forest Products Industries

2018· article· en· W2898495177 on OpenAlexaff
John Kay, David C. Mazur, Rob A. Entzminger

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsRockwell Automation (Canada)
Fundersnot available
KeywordsAutomationCommunications protocolComputer scienceProcess (computing)Process automation systemProtocol (science)Communications systemAutomatic meter readingEmbedded systemSystems engineeringSoftware engineeringTelecommunicationsEngineeringComputer networkWirelessOperating system

Abstract

fetched live from OpenAlex

The functionality of various communication methods continue to change as advanced protocols and media are applied to, not only commercial products, but also industrial products. This paper will provide the electrical engineer with a fundamental background and other basics regarding various communication standards, protocols and media. When electrical engineers are engaged in the interconnection of devices where various communication methods are employed, a review of the requirements of these systems is required. These may include process automation protocols, industrial control system protocols, building automation protocols, power system automation protocols, and automatic meter reading protocols. These system requirements demand a full review to determine the interconnections and media necessary for successfully integrating these into the enterprise communication 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.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.007

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 head0.018
GPT teacher head0.216
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2018
Admission routes1
Has abstractyes

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