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Record W2158478839 · doi:10.1109/tpwrd.2009.2028803

A Smart Microcontroller-Based Iridium Satellite-Communication Architecture for a Remote Renewable Energy Source

2009· article· en· W2158478839 on OpenAlexaff
Ujjwal Dahal Deep, Brent R. Petersen, Julian Meng

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2009
Typearticle
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMicrocontrollerRenewable energySmart gridComputer scienceEmbedded systemCommunications satelliteData transmissionSatelliteReal-time computingEngineeringComputer hardwareElectrical engineering

Abstract

fetched live from OpenAlex

With an increased focus on the utilization of green technologies and greater demands on the electric power grid, renewable energy is an important form of current and future power generation. With remote generation deployments, such as those based on wind energy, a cost-effective communication system with global coverage using satellite technology would be advantageous. The monitoring of remote generators for performance and maintenance issues is certainly necessary for any distributed-generation system. To offer a cost-effective satellite solution, a cost-optimization algorithm for minimizing data transmission while maximizing relevant telemetry data is required. This paper proposes a low-cost smart communications architecture using an Iridium Satellite System 9601 short-burst data transceiver and simple microcontroller technology. The microcontroller allows for simple optimization routines to be performed on the locally stored data. This proposed system was implemented and tested and recommendations are drawn on the usability of the developed communication system for monitoring a remote generation site.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score1.000

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 science0.0010.000
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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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 teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations22
Published2009
Admission routes1
Has abstractyes

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