Development of a paper-bag-folding machine using open architecture for adaptability
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
Open architecture provides a sustainable product framework for mass personalised production. Applying personalised modules and common interfaces, an open-architecture product can satisfy changes in the user requirements of an application. Planning product modules for the open-architecture product structure using the existing method is challenging. The quality function deployment is extended in this study to decide the open-architecture product module types. The customer requirements are divided into two parts: basic function needs and changes of the individual customer needs. Based on the axiomatic design, the functional requirements are mapped into design parameters to establish the design matrix. A degree of variety is proposed as a quantitative measure for the component variability of product modules. According to the relationship of components and degree of variety, the product components are clustered into open-architecture product modules. The proposed method is used to design a paper-bag-folding machine to satisfy requirement changes during the machine application.
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 | 0.001 |
| 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 | 0.001 | 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