Modelling and Simulation of Electrical Machines, Converters and Power Systems
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.
Bibliographic record
Abstract
The ninth International Conference organized by the Technical Committee n 1 (TC1) of IMACS, ELECTRIMACS took place at Quebec City, Canada, from June 9th to 11th 2008. The goal of this conference was to provide scientific and professional interaction for the advancement of the modeling and simulation in electrical power engineering. Approximately, 130 technical papers were presented in the areas of computer-aided design and optimization, control, modeling, simulation and monitoring of power systems, static power converters, electrical machines, electromechanical systems and drives. The IMACS TC1 members wish to express their deepest thanks to Prof. Hoang Le-Huy, Conference Chair, and Prof. Philippe Viarouge, Technical Program Chair, for their relentless efforts resulting in a successful event which took place in the beautiful city of Quebec. This special issue of Mathematics and Computers in Simulation proposes 23 papers that were originally presented at the ELECTRIMACS 2008 conference. During the conference, the authors were invented to send a revised version of their paper. The final selection was made after submitting the revised papers to a thorough peer-review process. The Guest Editors express their deepest thanks to all the reviewers and to all the authors, successful or not, who submitted papers and contributed to this Special Issue. Next ELECTRIMACS Conference, will be held in Cergy-Pontoise, France in June 2011.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it