Intégration de périphériques contraints par reconfiguration dynamique d'applications. Cas des capteurs sans-fil
Bibliographic record
Abstract
RESUME . L’apparition recente de capteurs mobiles sans-fil capables de rendre compte de leur environnement physique et d'effectuer des traitements, permet d’envisager des applications capables de prendre en compte leur contexte environnemental et de reagir en fonction de ses evolutions. Ceci suppose de pouvoir concevoir des applications integrant a la fois des composants logiciels et materiels, capables de communiquer et d’utiliser les informations contextuelles disponibles. Ces travaux s’interessent a l’integration de peripheriques mobiles et en particulier de capteurs sans-fil dans les applications distribuees. Nous proposons que les problemes souleves par les contraintes liees a ces composants (mobilite, faiblesse des ressources, etc.) soient resolus par reconfiguration dynamique des applications. Dans ce but nous presentons un modele de composants unifie independant de leur nature materielle ou logicielle ainsi qu’une plate-forme de supervision a services permettant de gerer et de reconfigurer des telles applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".