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Record W3148724178

Study and Fabrication of IoT Enabled VAWT

2019· article· en· W3148724178 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

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldEngineering
TopicBelt Conveyor Systems Engineering
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsVertical axis wind turbineRenewable energyTurbineWind powerTurbine bladeInternet of ThingsMarine engineeringEnvironmental scienceAutomotive engineeringMeteorologyEngineeringAerospace engineeringComputer scienceElectrical engineeringComputer securityGeography
DOInot available

Abstract

fetched live from OpenAlex

The rapid depletion of fossil fuels has resulted in the gradual shift towards renewable sources of energy, such as wind energy but nevertheless the efficiency of traditional wind mills is only in the range of 30-40%. In order to counter this defect, the technology of Vertical Axis Wind Turbine was developed (VAWT). As the name suggests VAWT is a turbine whose axis is vertically mounted. This produces a drastic change in the efficiency of the device. However, during adverse conditions of weather, extreme wind speeds can have a detrimental effect on the blades of the turbine. This project focuses on minimizing the damage caused to the turbine blades by reducing the surface area of the blade exposed to the wind by the concept of furling. The furling action is actuated remotely over the internet by the concept of Internet of things (IOT).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.004
GPT teacher head0.187
Teacher spread0.183 · 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