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Vehicle-level CGF entity model with high intelligence usually has very complex logic programming code architecture. Nowadays most simulation model generating tools can not generate CGF entity models efficiently. To overcome this shortcoming, we propose a XML based role configurable and reusable code framework. It consists of command part and action part, corresponding to behavior model and physical model respectively. The configurable assembling module assembles the two parts and forms the CGF entity. Preliminary application verifies that the code frame can satisfy the real-time requirement of current large scale system-of-systems CGF simulation, having good configurable and reusable properties.

The jet flow characteristic was analyzed by the finite element method in a turning cavity. Using ANSYS-FLOTRAN CFD software, according to the actual size, building an entity model, the finite element simulation was conducted by a series of procedures, such as meshing, applying loads and solve. Then the flow field distribution was calculated with the different input angular rate. The results are as follow

Evolution and customization of component-based systems require an explicit understanding of component inter-dependencies. Implicit assumptions, poor documentation and hidden dependencies turn even simple changes into challenges. The problem is exacerbated in XML-intensive projects due to the use of soft references and the lack of information hiding. We address this with dependency tracking interface types for models and metamodels. We provide automatic compatibility checks and a heuristic inference procedure for our interfaces, which allows easy and incremental adoption of our technique even in mature projects. We have implemented a prototype and applied it to two large cases: an enterprise resource planning system and a healthcare information system.

This paper draws on the practical experience of CACI consultants in Europe in database design and data analysis over the past three years. It is not intended to explain in detail or to justify the particular methodology, but rather to concentrate on the practical problems that arise when undertaking data analysis and the solutions which we have found to be successful. Further, the emphasis of this paper is on the technical problems, whereas it is the political and organizational aspects which pose the greatest difficulties for the data analyst.