The research work on dhcpv6 within ietf is still in its preliminary phase and most documents are in the form of " draft proposal " apart from two in rfcs . so far , there is no dhcpv6 software around internationally ; hence development of an experimental dhcpv6 prototype would be meaningful both in understanding and improving dhcpv6 under development . having studied tens of ietf documents and references , a background analysis on ipv4 / ipv6 and dhcpv4 / dhcpv6 is presented and comprehensive state transition diagrams / tables and time sequence diagrams for dhcpv6 are derived from the description in natural language , which may help in understanding and implementation of dhcpv6 本文作者在参阅大量外文资料的背景下对ipv4 dhcpv4及ipv6 dhcpv6做了较深入的分析和比较，在参考部分dhcpv4工作模型的基础上；根据已有的dhcpv6建议草案和rfc文本中自然语言的描述，探讨性地采用状态变迁图表和时序图的方式描述了dhcpv6客户机和服务器工作状态变迁和信息交换过程：在此基础上初步开发出一套linux环境下的支持dhcpv6协议软件，并在实验室内对该软件进行了初步的测试。
The important research is about the theory and methods of the cluster analysis in view of statistical theory , the theory and methods of fuzzy cluster analysis , the fkn " s structure and the fkn ' s study algorithm ( fkn , fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network . the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea , then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company . finally , the paper discusses the applying of the cluster analysis to the control process , which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing , and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory , through which good effect is obtained 数据挖掘技术在商业领域中已广泛使用，然而在工业过程控制中的应用却极少，本文正是在这种背景下，对数据挖掘中的聚类分析方法及其在工业过程控制中的应用研究作了偿试，重点研究了基于统计理论的聚类分析理论和方法，模糊聚类分析理论和方法及模糊kohonen网络( fkn )的结构与学习算法，即模糊c ? ?均值算法与自组织特征映射神经网络( kohonen网络)的有机融合，并根据硬分类思想及软分类思想提出了改进的模糊kohonen网络( ifkn ) ，通过matlab编程对人工合成控制时序图数据集进行聚类分析，其聚类效果与当今广泛使用的数掘挖掘软件平台，德国mit公司著名的dataengine智能数据分析和数掘挖掘软件的聚类效果相当，最后，论述了聚类分析在控制中的应用，它可以用于过程控制中的参数变化趋势的模式识别及图象分割处理等具体应用中，并以贵州铝厂熟料烧结回转窑自动控制系统为工程背景，利用ifkn识别其热工参量变化趋势，取得了较理想的效果。
It is possible for the terminal activity faults to penetrate to the quaternary , but their scale is generally small and the penetrating distance is short , therefore , they can not induce earthquakes on a large scale . the remote sense images of last thirty years in daqing region show that the linear tectonics have not changed remarkbly , in the meantime , the earthquake timing figure shows that the probability of the faults inducing earthquakes , which ms is no less than 5 , is little , though some terminal active faults have penetrated to the quaternary 晚期活动断裂有可能断至第四系，但规模小，延伸的距离短，不会引发大规模地震，遥感解译分析表明， 30多年来卫星遥感影像显示的大型线性构造并无明显变化；另外结合大庆地区地震时序图认为，晚期活动断裂即使断至第四系，其活动引发5级以上地震的可能性也极小。
