2019 International Conference on Advances in Materials, Mechanical and Manufacturing (AMMM 2019)
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
Preface We are very pleased to introduce the proceedings of the 2019 International Conference on Advances in Materials, Mechanical, and Manufacturing (AMMM 2019), it took place in Beijing, China from March 22-24, 2019. The Conference provided a setting for discussing recent developments in a wide variety of topics including Material Structure Design, Liquid Mechanics and Thermal Engineering, Mechanical Engineering and Advanced Manufacturing etc. The Conference has been an excellent opportunity for participants coming from many countries to present and discuss their topics in their respective research areas. A major conference theme was related to Material Structure Design and Performance Analysis; this session also included papers on, material properties measurement and mathematical predictions of inspection performance through modeling. A second session was devoted to the theme of Liquid Mechanics and Thermal Engineering; the third session was concerned with Intelligent Robot and Artificial Intelligence Technology, the Fourth session was involved with Mechatronics, after that the fifth session in Mechanical Engineering and Advanced Manufacturing, finally the Sixth session Industrial Machinery Design and Key Technologies. In the event, the conference was highly successful. The 50 presented papers maintained the high promise suggested by the written abstracts and the programme was chaired in a professional and efficient way by the session chairmen who were selected for their international standing in the subject. The delegates, was also highly gratifying, showing the high level of international interest in the matter. This is also indicated by a large number of countries, represented by the delegates. We would like to thank all participants for their contributions to the Conference program and for their contributions to these Proceedings. Many thanks go as well to the School of Mechanical Engineering and Automation, Beihang University, for their support, which allowed all foreign participants to feel more at home, and especially, the opening remark from the Dean gave a warm welcome to all the participants. Our special thanks go to our Conference Committees for their devoted assistance in the overall organization of the conference. It is our pleasant duty to acknowledge the support from the Beihang University, Beijing, China; technically support from National Sun Yat-sen University, Taiwan and the University of Alberta, Canada. We are looking forward to the next International Conference on Advances in Materials, Mechanical and Manufacturing. We hope that it will be interesting and enjoying at least as all of its predecessors. Conference Chair: Prof. Lang Lihui April 3, 2019
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 | 0.001 | 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 | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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