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Record W2294458205 · doi:10.24843/mite.2015.v14i02p14

PROTOTIPE MONITORING KETINGGIAN AIR BENDUNGAN MELALUI MEDIA SOSIAL TWITTER BERBASIS MIKROKONTROLER ATMEGA-328PU

2015· article· en· W2294458205 on OpenAlexaff
I G.M Sugiri Arnawa, I . G. A. Raka AGung

Bibliographic record

VenueMajalah Ilmiah Teknologi Elektro · 2015
Typearticle
Languageen
FieldComputer Science
TopicIoT-based Control Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMicrocontrollerEthernetArduinoLiquid-crystal displayComputer scienceComputer hardwareOperating system

Abstract

fetched live from OpenAlex

The prototype of this dam water level monitoring function to provide information about the dam water level through social media twitter and speakers. Information on twitter social media can be found by following the twitter account of this tool . The prototype consists of a microcontroller Arduino Uno , HC - SR04 sensor , LCD , WTV020SD and the Ethernet Shield . Sensor HC - SR04 , read the value of the dam water level based on emission and reflection of ultrasonic waves . Arduino Uno microcontroller will process and display the sensor input from HC - SR04 form of dam water level on the LCD and sent via ethernet shield to social media twitter . WTV020SD serves to ring the speaker on the water level 10 cm , 20 cm , 30 cm and 40 cm . The sound emitted is the normal condition of the dam , flood alert , flood alert and flood . Water level measurement results on LCD , manual measurement and display on twitter social media have gotten the same results .

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)0.000
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: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.004

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 head0.036
GPT teacher head0.246
Teacher spread0.210 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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