Bibliographic record
Abstract
Preface This Proceedings presents the written contributions of the participants of 2024 3rd International Conference on Aerospace, Aerodynamics and Mechatronics Engineering (AAME 2024) which took place from April 12th to 14th, 2024 in Nanjing, China, attended by more than 150 academicians, researchers, postgraduate students, and relevant personnel. The three-day scientific program of AAME 2024 consisted of keynote speeches, oral presentations, poster presentations and academic investigation with the participation of delegates from China, Canada, Denmark, England, India, Russia, Turkey, among others. The objectives of AAME 2024 were to bring together national and international researchers and practitioners in order to establish a forum of scientific cooperation with a global impact in the fields of aerospace, aerodynamics and mechatronics engineering; to promote the exchange of creative ideas and the effective transfer of scientific knowledge, from fundamental research to innovation applied to aerospace, aerodynamics and mechatronics engineering; and to advance in the development of new research by means of efficient transference of the knowledge between sectors academia and industry. Resources persons Prof. Kaining Wu (Harbin Institute of Technology, China), Prof. Mouquan Shen (Nanjing Tech University, China), Prof. Zhiyuan Zhu (Southwest University, China), as well as Prof. Changjun Chen (Suzhou University, China) have delivered expertise speeches and shared research experiences by imparting the latest findings from their respective research domains. It was a wonderful opportunity for the students, researchers, engineers and other participants interested in fields related to aerospace, aerodynamics and mechatronics engineering to interact with the experts and specialists to get their advice or suggestions. We are very optimistic that all participants have acquired new ideas and knowledge from this Conference to enhance the capability towards aerospace, aerodynamics and mechatronics engineering. The Proceedings of AAME 2024 consists of the papers that were presented as speeches, presentations and other contributions at the Conference or as publications in this paper volume, covering topics on Aircraft Navigation and Positioning Technology, Avionics Engineering, Communication Systems and Technologies, Mechatronics Systems, Analog and Digital Circuits, Electrical and Electronic Technology, etc. All papers published in this volume have been peer reviewed through rigorous processes administered by the Proceedings Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of Journal of Physics: Conference Series. We would like to thank the authors and speakers for their invaluable contribution and worthwhile ideas shared in the Conference. We would also extend our best gratitude to the members of reviewers for their kind assistance in reviewing the papers. Special acknowledgements go to the editors and staff of Journal of Physics: Conference Series for their efforts in making this volume published. The Committee of AAME 2024 List of Committee Member is available in this Pdf.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.499 | 0.333 |
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".