Developing component-based Web transaction systems with Servlet/JSP and CORBA.
Bibliographic record
Abstract
Web has evolved from a network of basically static information display to a mechanism for interactive Web application. Currently, web creates for enhancing business processes, reducing costs and increasing profits. With component-based computing and MVC design pattern, web application could be developed easily, less expensively, deployed flexibly across platform, adapted to new technology quickly. Rapid delivery of business-critical information over the Internet and Corporate intranets requires a transaction-processing solution that integrates the functionality of multiple objects, provides these objects with access to multiple data sources, and ensures data integrity, scalability, and security across every business transaction. Moreover, certain runtime services should be developed to support Web applications. The ability to easily locate application components, access and execute them securely, and ensure their availability are critical factors to deploying Web applications in Internet, intranet, and extranet environments. To meet increasing need, we develop a viable approach for web transaction systems based on the component-based system development in this thesis work. This approach adopts the distributed, component-based development principle and is based on MVC design pattern. This approach offers the flexibility, scalability, and reliability necessary to support the constant evolution of business processes in the e-business world. And a prototype, which based on our infrastructure design, is also developed to validate the feasibility and effectiveness of the proposed approach. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2000 .Z527. Source: Masters Abstracts International, Volume: 40-03, page: 0730. Thesis (M.Sc.)--University of Windsor (Canada), 2001.
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".