基于Ansys的电化学加工辅助阴极设计

根据电化学加工极间间隙电势分布的拉普拉斯方程，提出了一种阴极设计算法－误差调整法。该算法的实现主要采用了Ansys有限元计算软件。计算结果表明：该法计算迭代次数较为适当，对于精度要求不高的电化学加工阴极设计，基于Ansys的辅助阴极设计有效可行。     

准连续Ti~(3+):Al_2O_3可调谐激光的研究

本文给出了Ti~(3+):Al_2O_3的准连续可调谐激光的实验结果。采用Nd:YAG内腔倍频532nm的准连续输出作为泵浦源,得到Ti~(3+):Al_2O_3的连续可调谐输出。波长覆盖范围为685nm到821nm。最大输出功率为293mW,斜率效率为20％,在805nm处的窄谱输出功率达240mW,总体转换效举为26％。     

通讯网的演进

在光纤高速传输技术、光交换与智能光网等与宽带接入、多媒体、3G等网络应用技术的推动下，建设基于IPv6协议的IP基础电信网成为可能。现在IP网正在朝着有序的、可管理的、有QoS保障的、可以支持各类业务的综合业务基础网演进。电信网也正在从网络接入层上、从长途网络层面上、从本地网络层面上、从固定网向含3G在内的移动网络等方面向支持IP技术及其综合业务的方面全面推进。     

三维结构可靠度对随机变量的敏感性研究

本文基于三维随机有限元提出了结构点可靠度、失效模式的可靠度及整个结构体系的可靠度分别对随机变量的＂分布参数＂和＂极限状态方程参数＂的敏感性计算方法，并以一典型重力坝为例进行了计算，得出了若干有益的结论。     

Fuzzy-Fusion Classifier for MMV Full-Polarization Radar Target Recognition Using One-Dimensional Scattering Centers

One-dimensional (1-D) scattering centers on a target can be used for radar target recognition purpose. In this paper, a new classifier based on fuzzy techniques is proposed, which is very much suitable for target recognition using 1-D scattering centers. Furthermore, information fusion techniques for full polarimetric receiver data are utilized at the decision level. The performance of the proposed fuzzy-fusion classifier is evaluated using a dataset of five aircraft models measured by millimeter-wave (MMW) full-polarization stepped-frequency radar in the compact range facility.     

烧结通用配料计算软件系统的开发

本文介绍了烧结通用配料计算软件系统的总体结构，软件的功能及其设计特点，该软件已在多个烧结经验中得到成功应用。     

烟用香料配制的气相色谱法质量控制研究

采用气相色谱法对香料房卷烟用料液中的溶剂及水分进行检测,分析测定其中的水分、乙醇、丙二醇、山梨醇等的含量,通过对香料房每批配制料液的抽检,可以跟踪料液配制的准确性,保证卷烟产品质量,该方法操作简单、准确性高、重现性好。     

二氧化氯处理油田回注水工艺

针对中原油田回注水中细菌易产生抗药性,难以控制的问题,提出了应用二氧化氯处理油田回注水工艺。经室内评价及现场试验,二氧化氯可杀死回注水中的细菌,控制微生物生长,同时该工艺可降低现有回注水污泥残渣产出量的50%,减少污泥对环境的污染,提高注水水质。     

Feature-based classifiers for design optimization

We present a design optimization method for systems with high-dimensional parameter spaces using inductive decision trees. The essential idea is to map designs into a relatively low-dimensional feature space, and to derive a classifier to search for high-performing design alternatives within this space. Unlike learning classifier systems that were pioneered by Holland and Goldberg, classifiers defined by inductive decision trees were not originally developed for design optimization. In this paper, we explore modifications to such classifiers to make them more effective in the optimization problem. We expand the notions of feature space, generalize the tree construction heuristic beyond the original information-theoretic definitions, increase the reliance on domain expertise, and facilitate the transfer of design knowledge between related systems. There is a relatively small but rapidly growing body of work in the use of inductive trees for engineering design; the method presented herein is complementary to this research effort.