Bibliographic record
Abstract
It is our pleasure to welcome you to the 2019 8th International Conference on Mechatronics and Control Engineering (ICMCE 2019) in Paris, France on July 23-25, 2019. ICMCE 2019 is a conference dedicated to topics in acoustics and noise control, computational mechatronics and engineering design management, mechatronics, process control & instrumentation, automated guided vehicles and solid mechatronics, nanomaterial engineering etc. The proceedings present a selection of 19 papers submitted to the conference from universities, research institutes and industries. All of the papers were subjected to peer-review by conference committee members and international reviewers. Papers included in the proceedings have been selected according to quality and relevance to the conference themes. The proceedings aim to present to the readers recent advances in the field of mechatronics and control engineering and in various related areas. We would like to express our genuine gratitude to everyone who has contributed to ICMCE 2019. The opening remark including a warm welcome to all participants has been given by Prof. Jan Awrejcewicz, The Lodz University of Technology, Poland. Our especially thanks to the conference chair, Prof. Giuseppe Conte, Università Politecnica delle Marche, Italy, the program chairs, Prof. Olivier Sename, Grenoble Institute of Technology, France, Assoc. Prof. Ke-Lin Du, Concordia University, Canada and Prof. Changguo Wang, Harbin Institute of Technology, China, all the technical committee members. Let us wish ICMCE the same success for next year. Conference Chairs Prof. Jan Awrejcewicz, The Lodz University of Technology, Poland Prof. Giuseppe Conte, Università Politecnica delle Marche, Italy
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 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".