硼预淀积对自组织生长Ge量子点尺寸分布的影响

研究了以不同B2H6流量预淀积硼对UHV/CVD自组织生长Ge量子点尺寸分布的影响。在适当的生长条件下,得到了尺寸分布很窄的均匀Ge量子点,用AFM对量子点的形貌进行观察,Ge量子点尺寸的涨落小于±3%,量子点的水平尺寸和高度分别为60nm和10nm,密度为8×109cm-2。实验结果表明,通过预淀积硼表面处理,可以得到尺寸分布很窄的量子点,以满足量子点光电器件方面应用的要求。     

SiC粒子增强铸造Al基复合材料的研制

本文用真空烘烤封罐法对 SiC 粒子进行预处理,在固液两相区内搅拌添加,制造了铸造 Al 基复合材料。测试表明,该复合材料具有铸造性能好,力学性能高的优点,适用于采用压铸、石膏型精密铸造、金属型铸造等工艺方法成型的活塞、连杆等要求苛刻的零件。     

上马水库地裂缝成因及工程处理措施探讨

文中着重阐述了上马水库库坝区的地裂缝产生的原因及发育规律,分析了地裂缝对水库的直接危害,为水库除险加固设计提供了指导,并提出了切实可行的工程处理措施建议。     

Characteristics of Schottky Barrier Junction Based on Hexagonal Microtube ZnO

Hexagonal microtube ZnO was firstly grown on single crystal p-Si (111) substrates by hydrothermal method, and fabricated Ag/n-ZnO and Au/n-ZnO Schottky junction. Schottky effective barrier heights were calculated by I-V measurement. It is confirmed that the presence of a large amount of surface states related possibly to lattice imperfections existed near the surface leads to the pinning of the surface Fermi level at 0.35 eV below the conduction-band edge. Then the fabricated Schottky barrier junctions are evaluated for their use as UV photodetectors.     

数控机床交流伺服系统的复合控制研究

针对常规P-P与PPI控制存在的问题，提出了在数控机床交流伺服系统中，采用带速度和加速度作为前馈控制，模糊自校正PID控制作为位置反馈控制的复合控制器，实验证明可以显著提高控制系统的控制精度，大大降低跟踪误差，具有较强的鲁棒性。     

套筒补偿器的结构与发展

本文系统地阐述了套筒补偿器发展至今的各种结构及其特点,所用密封材料及其特性,摩擦力试验及其计算公式.文中还对目前使用中出现的一些问题进行了分析.     

Influence of Rare-earth Elements on Mechanical Properties of Palladium

The influence of 0.1-0.6 at.-%RE additions (RE= La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Er, Yb) on themechanical properties of Pd was studied. All above RE additions increased not only the strengthproperties at ambient temperature but also the tensile strength, creep rupture time and activation en-ergy at high temperatures, simultaneously increased the elongation of Pd. In the range of dilute con-centration, the strength properties of Pd-RE alloy enhanced linearly with RE concentration. Whenthe strength properties of Pd-RE alloys were normalized at 0.1 at.-%RE, it was found that light REelements had stronger effect on the properties of Pd than heavy RE, whereas Eu, Yb, Ce had anoma-lous effect. In all Pd-RF alloys, Pd-Eu alloy had the highest strength properties, successively Pd-Yband Pd-Ce alloy. The effect mechanisms of RE in alloy, such as purifying impurities, increasingrecrystallization temperature, refining grain size. expanding crystal lattice, increasing dislocation den-sity and decreasing stacking fault energy, forming stable RE oxidation by internal oxidation, and soon, were observed. They were strengthening sensitive factors. The influence of the factors onstrength properties and elongation of Pd was discussed.     

家居室内环境的“低碳”设计思考

目前家居装饰装修市场繁荣,人们伴随着经济实力的提升而追求居住环境的舒适性、豪华性、美观性的愿望得已实现,但设计师和客户都应理性的对待居住空间的过分装饰和纯粹的美观性,应注重营造实用、绿色低碳的家居空间环境,顺应社会发展的要求。本文通过对家居空间"低碳"设计的分析,倡导家居空间环境应健康节能、选择低碳的装饰装修设计。     

A new algorithm for fast mining frequent itemsets using N-lists

Mining frequent itemsets has emerged as a fundamental problem in data mining and plays an essential role in many important data mining tasks.In this paper,we propose a novel vertical data representation called N-list,which originates from an FP-tree-like coding prefix tree called PPC-tree that stores crucial information about frequent itemsets.Based on the N-list data structure,we develop an efficient mining algorithm,PrePost,for mining all frequent itemsets.Efficiency of PrePost is achieved by the following three reasons.First,N-list is compact since transactions with common prefixes share the same nodes of the PPC-tree.Second,the counting of itemsets’ supports is transformed into the intersection of N-lists and the complexity of intersecting two N-lists can be reduced to O(m + n) by an efficient strategy,where m and n are the cardinalities of the two N-lists respectively.Third,PrePost can directly find frequent itemsets without generating candidate itemsets in some cases by making use of the single path property of N-list.We have experimentally evaluated PrePost against four state-of-the-art algorithms for mining frequent itemsets on a variety of real and synthetic datasets.The experimental results show that the PrePost algorithm is the fastest in most cases.Even though the algorithm consumes more memory when the datasets are sparse,it is still the fastest one.