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Record W24728038 · doi:10.1093/hmg/ddu173

Etude d'une structure d'interrupteur 4 quadrants à faibles pertes à base de transistors à forts gains

2011· dissertation· en· W24728038 on OpenAlexfundno aff
Chawki Mohamed Benboujema

Bibliographic record

VenueHuman Molecular Genetics · 2011
Typedissertation
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

S’inscrivant dans le cadre de la gestion de l’energie dans l’habitat du programme SESAME du pole de competitivite S2E2, l’objectif de cette these est d’etudier et de proposer une structure d’interrupteur commandable a l’ouverture et a la fermeture, bidirectionnel en tension et en courant et a faible perte energetique, destine a connecter tout type de charges sur le reseau alternatif 230V/50Hz. Il n’existe pas a l’heure actuelle de composants interrupteurs monolithiques de ce type. La premiere partie du memoire presente les interrupteurs electroniques existants. La deuxieme partie, traite des interrupteurs electroniques a base de transistors MOS et des limites de cette technologie unipolaire en termes de compromis de minimisation de surface de puces et de minimisation de la dissipation de puissance. Nous montrons ensuite que l’on peut repousser ces limites en adoptant des solutions a base de transistors bipolaires de puissances et notamment avec des bases fines autoprotegees (Transistors GAT). Le quatrieme chapitre presente les resultats d’une etude des caracteristiques a l’etat passant et a l’etat bloque de transistors GAT et valide leur aptitude a fonctionner sur le reseau alternatif. Nous montrons plusieurs voies possibles d’amelioration des caracteristiques de ces transistors avant d’etudier leur comportement dans une fonction interrupteur. Nous terminons ce travail en demontrant l’interet de la commande des transistors GAT en mode de conduction inverse, interet qui nous conduit ensuite a proposer une structure d’interrupteur totalement novatrice, avec la reduction par deux du nombre de composants et donc une reduction accrue de la puissance dissipee dans l’interrupteur.

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 score0.006
Threshold uncertainty score0.019

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.024
GPT teacher head0.261
Teacher spread0.237 · 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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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