Manu inspirations can be drawn from traditional Chinese painting art for modern visual communication design. In this paper, the traditional ink and wash elements are taken as the starting point to explore the features of visual language under the condition of the Internet based on the existing applications in modern Chinese visual communication design and further clarify the implicit beauty of traditional ink and wash art and the simple beauty of brushwork and ink.
The risk assessment of information security is an important evaluation method and decision-making mechanism in the process of constructing information security mechanisms. The risk assessment of information security has character of complex, nonlinear, uncertain and strong real-time, the traditional mathematical model for the risk assessment of information security not only lays some limitations, but also lays large subjective randomness and fuzziness, it is difficult to operate and lack of self-learning ability. Combining with RBF neural network theory and particle swarm optimization fuzzy evaluation method, this paper establish a security risk assessment model based on RBF neural network optimized by particle swarm. The simulation results prove that: the advanced RBF neural network model can achieve quantitative assessment of information system on the level of risk factors and has higher fitting precision, stronger learning ability and faster velocity of convergence than traditional neural network.
Mm is the core of extension agent; MID manage ment capabilities directly determine the merits of the entire network management system performance; by analyzing the characteristics of Mm extension agent, this paper proposed a multi-domain binary sort tree storage strategy and studied the search and traversal algorithm of MID node under the storage strategy which can effectively improve search and traversal efficiency of MID, for solving the MID region registered con flict and proposed a region decomposition strategy which ensured the flexibility and reliability of the agent.
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