Bibliographic record
Abstract
The 14th Asia Conference on Mechanical and Aerospace Engineering (ACMAE 2023), which was held in Hong Kong, China, during December 22-24, 2023, following the successful conferences in Chengdu (Online) last year, Nanjing in 2021, online in 2020, Bangkok, Thailand in 2019, Singapore in 2018 and Yokohama, Japan in 2017. ACMAE 2023 is sponsored by Science and Engineering Institute and Department of Aeronautical and Aviation Engineering (AAE) of The Hong Kong Polytechnic University (PolyU), co-sponsored by Nanjing University of Science and Technology, Moscow Bauman State Technical University, technically supported by Capitol Technology University, Washington University in St. Louis. This international conference was over three-days and provided a forum for discussion of mechanical and aerospace engineering. Submitted papers were received and sent for preliminary and peer review conducted by the technical committees. Professional comments are given according to the aspects of originality, innovation, applicability, technical merit, organizing and writing, relevance to conference. After several rounds of review procedure, some excellent papers have been received to get published in the conference proceedings. The proceedings contains a collection of research papers, organized with 10 chapters: aircraft design and flight control, design and analysis of vibration systems in aviation systems, aeroengine model and power device design based on thermochemistry, aerodynamics and applied mechanics, design and control of micro drones, system design and safety analysis in aerospace engineering, communication and electronic system design in aviation systems, engineering materials and mechanical properties analysis, advanced control technology and system analysis, modern mechanical system design and performance simulation and so on. The conference invited five internationally recognised experts in their fields of mechanical and aerospace engineering to deliver keynote and invite speeches, including Jinjun Shan, York University, Canada; Osama Tabata, Kyoto University of Advanced Science, Japan; Rui Zhao, Beijing Institute of Technology, China; Ben Guan, Harbin Engineering University, China; Jiaao Hao, The Hong Kong Polytechnic University, China. Each speaker has delivered the speech more than 30 minutes. In addition, around 80 experts and scholars and listeners from the world’s top research institutes of aerospace technology attend the conference onsite and online. We would especially like to thank the organization committees, the members of the program committees and technical committees. They have worked very hard in reviewing papers and making valuable suggestions for the authors to improve their work. Without a peer review no quality can be assured and research ignored by others. We also would like to express our gratitude to the external reviewers, for providing extra helps in the review process, and the authors for contributing their research result to the conference. Without such support a conference cannot maintain quality or add real original contributions to knowledge. It goes without saying, it is core to success, but here we re-iterate that point. On behalf of organizing committees, we would like to express our sincere gratitude to all participants and speakers who contribute to make this event a great success and look forward to the future years expanding our outreach even more. Conference Chair Prof. Ian McAndrew List of Organizing Committees, Statement of Peer Review are available in this pdf.
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".