机械手的组成机构及其技术指标的确定

本文论述了工业机器人和机械手的机构组成，并讨论了工业机器人和机械手的工作空间、看管区域、位置函数、运动速度等技术指标的确定方法，为机器人和机械手的机构设计及创新提供了理论基础。     

Simulation of annealing process effect on texture evolution of deep-drawing sheet Stl5

A two-dimensional cellular automaton method was used to simulate grain growth during the recrystallization annealing of deep-drawing sheet Stl5, taking the simulated result of recrystallization and the experimental result of the annealing texture of deep- drawing sheet St15 as the initial condition and reference. By means of computer simulation, the microstructures and textures of dif- ferent periods of grain growth were predicted. It is achieved that the grain size, shape and texture become stable after the grain growth at a constant temperature of 700°C for 10 h, and the advantaged texture components {111 }<110> and {111 }<112> are domi- nant.     

Modeling of dendritic growth in the presence of convection

In materials science, dendritic growth is the ubiquitous form of crystal growth ob-served in casting and welding of many metals and alloys. The solidified dendritic mor-phology will generally play a key role in the determination of mechanical properties of solid materials. Thus, understanding and control of dendritic growth are crucial in order to predict and achieve desired microstructures and hence, mechanical properties of cast-ing metals and alloys[1]. Dendritic growth is a complicated phy…     

基于改进CA模型的群体辟谣信息扩散效果预测

公共危机背景下,谣言借助网络、通信渠道快速扩散,扰乱社会秩序,影响社会稳定。为了控制谣言扩散,从群体微观层面的信息协同视角研究辟谣信息扩散的过程及规律,借鉴SEIR模型,引入个体的异质性,采用异质元胞自动机构建辟谣信息扩散模型。研究表明：公共危机事件下辟谣信息交互策略对信息扩散效果具有显著影响;辟谣信息移出率与信息扩散效果负相关;初始辟谣信息传播者的分布类型决定最终辟谣信息扩散效果。     

Learning regularity in an economic time-series for structure prediction

Although an economic time-series has an apparently random fluctuation over time, there exists certain regularity in the functional behavior of the series. This paper attempts to identify the regularly occurring structures in an economic time-series with an aim to represent the series as a specific sequence of such structures for forecasting applications. The applications include prediction of the most probable structure with its expected duration, along with predicted values lying thereon. Representation of a time-series by a set of regularly recurring structures is undertaken by invoking three main steps: (i) non-uniform length segmentation of the series, (ii) identification of the recurrent patterns by clustering of the generated segments, and (iii) representing the sequence of regular structures using a specially designed automaton. The automaton is used here to both encode the sequence of structures representing the time-series and also to act as an inference engine for stochastic forecasting about the time-series. Experiments undertaken on large (28 years’) daily economic time-series data sets confirm the success in automated structure prediction with an average prediction accuracy of 88.05%, average precision of 91.24% and average recall of 93.42%.     

基于改进蚁群算法的CA的应用——以土地利用模拟为例

元胞自动机转换规则的获取对模拟至关重要。对蚁群分类规则挖掘算法进行改进,并将该算法挖掘的转换规则作为元胞自动机的转换规则,提供了一种利用元胞自动机进行模拟的方法,以武清区土地利用模拟为例进行实验,表明了方法的有效性。该方法可应用到其他分类规则和转换规则挖掘中,也可应用到元胞自动机模拟的其他研究中。     

一种新的离散事件系统控制方案

给定离散事件系统（ＤＥＳ）Ｇ及某个规定的最大允许合法语言文明（ＭＰＬＬＳ）Ｋ，监督控制在任务就是寻找一个监控器Ｓ，使得系统在监控下不会突破该ＭＰＬＬＳ，也即满足：Ｌ（Ｓ／Ｇ）包含于Ｋ，传统的实现方法要求给定ＭＰＬＩＳＫ计算其最大可控子语言Ｋ＾↑因此难免显示地构造Ｓ。本文给了一种新的方案可以不必对Ｋ＾↑和Ｓ作显式计算，监控任务是随ＤＥＳＧ的演化结合规定的ＭＰＬＬＳＫ用动态方法实现，该方案在很大程度上     

手动驾驶和ACC混合车流元胞自动机模型研究

针对由手动驾驶车辆和ACC（自适应巡航控制）车辆组成的混合车流,考虑驾驶员的个体驾驶特性差异和ACC车辆的运行原理,构建了各自的运行规则,提出了一个新的元胞自动机模型．给出了周期边界条件下的计算机仿真结果,并对其进行了分析和讨论．结论表明：车流中保守型驾驶员的存在导致了道路利用率的降低,而合理的匹配各种车辆的混合比例,...     

用于入侵检测的快速多模式匹配

针对目前入侵检测匹配算法速率过慢的问题,提出了一种快速多模式匹配算法.一般情况下,该算法能充分利用匹配过程中本次匹配不成功的信息和已经匹配成功的信息,尽可能多地跳过待查文本串中的字符,不需要匹配目标文本串的每个字符,就能一次性实现对文本的快速搜索.此外,该算法由于采用组合状态自动机,还能对中文进行快速搜索.实验结果表明,本文算法具有更高的检测效率,能有效降低系统的丢包率.     

Cellular-automata and individual-based approaches for the modeling of biofilm structures: Pros and cons

Fresh water shortage is one of the greatest problems of modern society; as a result, water desalination, particularly with membrane processes, is becoming increasingly important, since it makes possible the use of brackish water for potable water, or the reuse of lower-quality water for industrial, irrigation, or other uses. Membrane processes used in water desalination and wastewater treatment are often affected by the degradation of biofouling, in which biofilms play a critical role, thus making biofilm simulation models very relevant. Biofilms are highly complex and heterogeneous systems, containing cells distributed in a non-uniform manner in polymers. Two classes of models, the cellular-automata and the individual-based models, which are used to simulate the growth and development of biofilm structures as a result of microbial growth in different environmental conditions, are presented. After a short review of models presented in the last decade, we identify similarities and differences and present the environmental conditions that can be best simulated with each model type.