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Record W4396782827 · doi:10.1109/les.2024.3396061

Marine Monitoring System Powered by Flexible Solar Panel

2024· article· en· W4396782827 on OpenAlexaff
C. Antonio-Hernández, Francisco López-Huerta, J. Figueroa-Moo, Leandro N. Acquaroli, Edith Osorio‐de‐la‐Rosa

Bibliographic record

VenueIEEE Embedded Systems Letters · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring Technologies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsComputer scienceSolar poweredRemote sensingReal-time computingSolar energyElectrical engineeringGeology

Abstract

fetched live from OpenAlex

Renewable energy sources are more commonly used in photovoltaic panel devices due to their high-power conversion efficiency, mechanical robustness, and multiple power levels capable of adapting to different applications. We present the design and implementation of a marine life monitoring system powered by a flexible photovoltaic panel. This monitoring system is implemented with a Raspberry Pi Zero W board to control (turn on/off) a night camera. It has a field of view of 2 m and a bank of light-emitting diodes placed in a submersible Polyvinyl chloride casing. The monitoring system can continuously acquire 1440 images over 24 h, with an energy consumption of 28.2 W/h. The system was tested by acquiring images of sea urchins Diadema antillarum in shallow waters of the Mexican Caribbean in the coral reef located in Xahuaxol.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0030.001

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 head0.031
GPT teacher head0.250
Teacher spread0.219 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueIEEE Embedded Systems LettersSame topicWater Quality Monitoring TechnologiesFrench-language works237,207