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In this paper webpage malicious code and the web browser mechanism were analyzed and new defense model was proposed. This new model can defend against browser attacks by checking URL(Uniform Resource Locator), monitoring web script and preventing buffer overflow. Test results show that the model improves versatility and reduces the false alarm rate.

GreenLab model is an on-going research program conducted jointly by researchers from France and China since 1998. It is oriented to be a functional-structural model for agronomy/forestry applications. Therefore, while keeping a property of being faithful to botanical knowledge, a new methodology is developed within GreenLab by stressing on simplicity of the model. This paper presents briefly our understanding towards plant functional-structural model, but only a model related to plant structures is given to show some progresses of the GreenLab. For a single stand of plant, GreenLab applies its newly developed "dual-scale automaton" approach to generate stochastic structures of plants. Using graph-based interface, this approach provides users with straightforward means of integrating botanical knowledge, i.e., metamers and growth unit, in construction of topological and morphological structures of plants. On the other hand, for a complex tree or a plantation application, a strategy of substructures is employed in GreenLab model for fast construction of plants and calculation of yields in terms of organs. Simulation results indicate promising benefits in using the new methodology to develop a generic plant model in regard to the structural part.

As known, there are many intrinsic and extrinsic factors influencing plant growth and plant architecture. Considering some of the main factors related with plant structures, photosynthesis, organogenesis, and their interactions, recently a new plant growth model, named as GreenLab, is developed. In this paper, GreenLab model is first simply explained, and then used to analyze different plant behaviors.

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Fast rendering and botanically faithful description of plants are a real challenge in computer graphics. Usually, plant production is computed using the method internode by internode, while there exist a lot of buds in an individual tree, therefore, this approach is quite time-consuming even for a medium-size tree. In this paper, we present a new algorithm based on substructure instances to quickly compute plants’ production, and then, for certain plant architectural models, combine with the geometrical rules to create a substructure library. Finally, we construct 3D virtual plants using 3D organs. Compared with the classical method in computing and constructing plant structures, the algorithm described in this paper is much faster while keeping botanical nature of plant. The algorithm can be generalized to most plant species.