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Record W2364125569

Application and Implement of Multi-protocol Self-adaptation Gateway

2015· article· en· W2364125569 on OpenAlexaff
Kaili Zhang

Bibliographic record

VenueAutomation and Instrumentation · 2015
Typearticle
Languageen
FieldEngineering
TopicIndustrial Automation and Control Systems
Canadian institutionsOvarian Cancer Canada
Fundersnot available
KeywordsH.248Gateway (web page)Protocol (science)Computer scienceCommunications protocolAdaptation (eye)Gateway addressProfibusInterface (matter)Computer networkDefault gatewayEmbedded systemInterior gateway protocolDistributed computingFieldbusInternet Protocol Control ProtocolInternet protocol suiteEngineeringUser Datagram ProtocolOperating systemThe InternetControl systemRouting protocolRouting (electronic design automation)
DOInot available

Abstract

fetched live from OpenAlex

For the complex problems of communication among heterogeneous in process of industrial production,design a multi-protocol self-adaptation gateway which uses STM32F407ZGT6 as its main chip of motherboard and COMX module as interfaces of Profibus-DP、Device Net、Ether Net/IP protocol. Multi-protocol self-adaptation gateway was an equipment that could solves the problems of system integration caysed by the different protocols. Design and implement three typical cases of application. Apply multi-protocol self-adaptation gateway to system integration and it could make different controllers,actuators and field instruments based on different protocols integrated as one system,in order to meeting the control requirements. Apply multi-protocol self-adaptation gateway to the integration of large-scale factories and it implemented a function of master server of heterogeneous networks that DCSs from different manufacturer could communicate with each other by the gateway. Apply it to S7-300 PLC system,and implemented a function that the station address of its Profibus-DP interface could self-adaptation. After testing and applying multi-protocol self-adaptation gateway solved the problems of the communication in heterogeneous networks.

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)0.001
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
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.029
GPT teacher head0.272
Teacher spread0.244 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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