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Modelling and Control of Fish Feeder System

2013· article· en· W1999760222 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

VenueApplied Mechanics and Materials · 2013
Typearticle
Languageen
FieldEngineering
TopicEngineering and Technology Innovations
Canadian institutionsImpact
Fundersnot available
KeywordsPID controllerMATLABAquacultureSoftwareControl theory (sociology)Fish <Actinopterygii>Controller (irrigation)Profit (economics)Control systemControl engineeringRecirculating aquaculture systemComputer scienceEngineeringSimulationControl (management)FisheryTemperature controlBiologyOperating systemEconomics

Abstract

fetched live from OpenAlex

Food and feeding become a major challenge in aquaculture development. The way adjustment of food delivery to pond is an important role to get the maximum return or profit to aquaculture entrepreneurs. This project presents an investigation about the fish feeding system, a system device to feed fish at predetermined amounts of food and time. Moreover, the system is designed with a computer monitored system in order to manage and control the system with simulation. This project is a simulation investigation into the development of PID controller using Matlab/Simulink software. The simulation development of the PID controller with the mathematical model of fish feeder system is done using trial and error method. The PID parameter is to be tested with a DC motor. As a result, the best value of PID controller is achieved when K p = 100, K i = 0.05 and K d = 25.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.603
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

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 science0.0000.000
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 head0.005
GPT teacher head0.154
Teacher spread0.148 · 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