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Record W4285445797 · doi:10.21742/26531941.1.1.06

Research on Real-time Data Transmission between IoT Gateway and Cloud Platform based on Two-way Communication Technology

2021· article· en· W4285445797 on OpenAlexaff
David Taniar, Johan Barthélemy, Lin Cheng

Bibliographic record

VenueInternational Journal of Smartcare Home · 2021
Typearticle
Languageen
FieldComputer Science
TopicIoT and Edge/Fog Computing
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer scienceCloud computingHandshakeComputer networkGateway (web page)Transmission (telecommunications)Reliability (semiconductor)Default gatewayData transmissionThe InternetNode (physics)Operating systemTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

protocol, the advantage of Socket.IO is that only a handshake between the client and the server is needed to quickly establish a Socket two-way channel, which can realize the real-time twoway transmission of data and effectively save broadband resources. Thereby improving the system's real-time update efficiency of the data model, and ensuring the stability and reliability of the system. For the system function and performance test, the experimental results show that the use of Socket.IO two-way communication technology can realize the simultaneous update of the physical model of the IoT gateway and the virtual model of the IoT cloud platform, and effectively improve the data transmission efficiency of the 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 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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.945
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.001
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 head0.089
GPT teacher head0.381
Teacher spread0.292 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations4
Published2021
Admission routes1
Has abstractyes

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