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In the feature information matching, this paper introduces a real-time monitoring model based on the finite-automatic machine multi-mode matching algorithm. The algorithm can directly compare the IP packet's content with the feature, and it solves the miscarriage of justice to the feature information.

在特征信息匹配方面,本文提出了一种基于有限自动机多模匹配算法的实时监控模型,可直接对IP数据包内容进行特征匹配,同时解决了由此而产生的特征信息误判问题。

This paper first introduces the general notions of word, Trie tree and automata, as well as their correlation algorithm using C++ for description and their implementation.

本文首先介绍了字,trie树和自动机的基本概念,并对它们的相关算法采用C++描述并加以实现。

Construction of public emergency immune system.The emergency management agencies system and practices of typical countries are analyzed and compared,based on which a concept of biomimetic system for emergency management is put forth.Besides,the author studies the way to realize "activation" mechanism within the public emergency immune system.(3) Procedures of pre-emergency management.

2应急管理&免疫&系统建构分析了各国应急管理的组织机构设置和实务操作,并就此作了比较研究;在此基础上提出了应急管理&仿生&系统的概念,进而研究了应急管理&免疫&系统中&激活&机制的实现问题;最后借鉴用于生物免疫模拟仿真的&细胞自动机&,构建了突发公共卫生事件演化过程的(来源:ABC28论文网www.abclunwen.com)模拟模型框架。

It helps to understand some evolvement processes of species, especially in dynamical system. For instance, studying the growth of cod fish simulation of wolf in Alaska, relationship between death age and relatives, evolvement. of species, evolvement process of competition, reproduce and natural selection of haploid, and one-species cellular automata model based on the Penna model was founded on a lattice of two dimensions.

利用Penna模型有助于理解一些生物演化过程,尤其是在种群动力系统中发挥了重要作用,如北极鳕鱼生长的研究,Alaska狼群模拟,近亲遗传死亡年龄之间的关系,种群的演变,单倍体种群的竞争,繁殖,自然选择等种群演变过程,二维格子上建立基于Penna模型的单物种元胞自动机模型是Penna模型与格子结合的早期文献。

It develops a static way to analyze passenger flows in bottle neck, queues and delaysIt then presents a pedestrian mustering and evacuation model based on the behavior studied, a conversely improved A star algorithms was developed, such famous problems as decision synchronize conflict and cross deadlock was solved using new concepts with dynamic games and exchange mechanism. The proposed model combines the advantage of the multi-agent systems, cellular automata,"social force" and steering behavior, and makes it more flexible and powerful.

基于对乘客复杂的集散行为的认识,本文对其中的关键行为—路径选择行为、移动行为和碰撞规避行为建立了乘客集散模型,提出了一种逆向改进型A*路径选择模型,并运用动态博弈和交换机制的方法解决了同步决策和交织死锁问题,该模型集多智能体(multi-agent)、元胞自动机、社会力、驾驶行为的优势于一体,具有更加广泛的适应性和更强的处理能力。

And a new mechanism is provided to store the data of OWL in relational database, the hierarchy structures of classes and properties defined in the OWL are also kept through views of the database system. 2、 Proposed a new method of using Finite State Machine and execution tag tree to describe the excution logic of existing grid service and the goal service specified by users, using Deterministic Propositional Dynamic Logic and FSM to determine the composable of goal service and make the composition plan. The computation complex is also discussed 3、 Designed some algorithms to compose existing grid services according to user requirement.

同时提出了一种新的机制,使用关系型数据库来存储OWL定义的实体,使用视图表示OWL中定义的类之间和属性之间的层次关系; 2、提出了使用有限状态自动机和执行标记树,表示网格系统中存在的网格服务和代表用户需求的目标服务的执行概要和逻辑,结合确定性动态命题逻辑,研究了目标服务的可组合性和自动组合模型,并讨论了组合模型的计算复杂度; 3、设计了一种根据用户需求来组合已存在的网格服务的算法。

A 9 -Bit square lattice gas model with temperature was introduced. We fulfilled an acoustic driver using Monte Carlo Method. Using this driver to generate plane waves, a standing sound wave was established in a two\|dimensional pipe.

引入带温度的 9- Bit正方形格子气自动机模型,利用MonteCarlo方法模拟声源并激发平面波,在二维谐振腔中建立了声驻波场。

Seeking for regularity of the cellular automata rule space is the center issues for cellular automata theoretical research.

1引言细胞自动机(cellular automata,简记CA)以其结构简单、内涵丰富等特征成为复杂性科学研究的主要工具[1]。

The paper explained the parameters,transformation and rectification of the SLEUTH model-one specific realizid format of the cellular automation model,what'more,the author modified urban growth rule and parameter setting of this model in order to improve simulation accuracy.

SLEUTH模型是元胞自动机模型的一种具体实现形式,通过介绍该模型的增长参数、增长规则以及校正过程,提出了可提高模拟精度的增长参数与增长规则改进方法。

As a step towards such a perspective, Pattern formation in generalized cellular automata is studied in this paper, different dynamic behaviors are classified, a definition of edge of chaos is proposed, and experiments are described where self-making patterns emerge which reminiscent of simple living systems.

论文研究了一种离散空间的耦合细胞系统:广义细胞自动机的模式形成过程,对模式演化的动力学行为进行了分类,给出了一个混沌边缘定义,模拟实验显示了在混沌边缘区域类似简单生命系统的自组织模式的突现,同时研究了记忆对GCA动力学的影响。

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