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Record W2622824636 · doi:10.1109/iea.2017.7939237

Electrical appliances control prototype by using GSM module and Arduino

2017· article· en· W2622824636 on OpenAlexfundno aff
Tigor Hamonangan Nasution, M A Muchtar, Ikhsan Siregar, U Andayani, Esra Christian, Emerson Sinulingga

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIoT-based Smart Home Systems
Canadian institutionsnot available
FundersUniversitas Sumatera UtaraCanadian Patient Safety Institute
KeywordsArduinoGSMRelayEmbedded systemComputer scienceString (physics)Protocol (science)Remote controlComputer hardwareEngineeringComputer network

Abstract

fetched live from OpenAlex

The development of remote control technology has grown rapidly along with the development of communication technology nowadays. The simplest communication technology available is by using GSM protocol. In this paper, a prototype of electric appliance control tool via SMS by using GSM is proposed. GSM protocol was chosen because it does not depend on mobile devices' platform. GSM SIM 900 and Arduino for controlling a relay module were utilized here. Relay module worked in accordance with orders given through SMS and the mobile device then received the feedback of the command. For testing purpose, ten (10) different types of input string as a command control was proceed. Relay worked according to orders sent from the input string submitted and feedback messages from the command given previously was provided.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.002

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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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

Citations64
Published2017
Admission routes1
Has abstractyes

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