MétaCan
Menu
Back to cohort

Buck-Boost and Ĉuk topology based single phase cycloconverters with low THD and high power factor

2012· article· en· W1974596261 on OpenAlexaff
Rubiya Binta Mustafiz, Dhrubo Rahman, Md. Ashfanoor Kabir, M. Nasir Uddin, M. A. Choudhury

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsLakehead University
Fundersnot available
KeywordsTotal harmonic distortionConvertersRectifier (neural networks)Duty cyclePower factorTopology (electrical circuits)Electronic circuitNetwork topologyThree-phaseElectronic engineeringControl theory (sociology)Buck converterCommutation cellComputer sciencePower (physics)VoltageEngineeringElectrical engineeringPhysicsArtificial neural networkConstant power circuit

Abstract

fetched live from OpenAlex

Two topologies of single phase cycloconverters based on Buck-Boost and Ĉuk topologies are presented. Instead of simple switching scheme of P and N controlled rectifier-converters, high frequency switching of uncontrolled rectifiers outputs have been used with the help of Buck-boost and Ĉuk converters. The input supply is an AC source followed by a full bridge rectifier circuit, the output of which is fed to the SMPS converters. The output voltages of the proposed cycloconverters are controllable step-up and step down in nature with duty cycle control of switching regulators. Total Harmonic Distortion (THD) of the input current of the proposed circuits is minimized by input filters before the rectifier. Input power factor and efficiency of the circuits are high. The circuits exhibit such performances at variable switching frequencies and duty cycles.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.003

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 head0.008
GPT teacher head0.217
Teacher spread0.209 · 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 designSimulation or modeling
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".

Quick stats

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced DC-DC ConvertersFrench-language works237,207