MétaCan
Menu
Back to cohort

Development of an Economical SCADA System for Solar Water Pumping in Iran

2020· article· en· W3092170192 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

Venue2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) · 2020
Typearticle
Languageen
FieldEngineering
TopicIoT-based Smart Home Systems
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSCADAGraphical user interfaceArduinoOperating systemThe InternetNode (physics)Embedded systemComputer scienceRaspberry piUser interfaceOpen sourceInternet of ThingsComputer networkReal-time computingEngineeringElectrical engineeringSoftware

Abstract

fetched live from OpenAlex

In this paper, we developed a cost-effective SCADA system for a solar water pumping system in Iran. The SCADA is based on IoT versions and is comprised of a raspberry pi zero W, Arduino nano, camera, SIM 5320A 3G module, voltage, current, and light sensors. We used Node-RED to design a graphical user interface and published it securely to the worldwide internet. This allows a user to connect to the server via an IP address and monitor and control the system. The implementation of the project resulted in an open-source server and cost around CAD$ 162.38.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.629
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.233
Teacher spread0.207 · 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