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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.036
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