超细镍粉电解制备工艺研究

用循环电解实验装置对超细镍粉的电解制备工艺进行了研究,探讨了温度,Ni^2 ,Cl^-浓度,pH值,阳极电流密度ic对阴极电流效率的影响,采用NiCl2 NH4Cl电解液,镍为阳极,不锈钢为阴极,t为65℃,ic为2．5A／cm^2的实验条件稳定地获得平均粒径为1．5μm,球状镍粉产物,阴极电流效率为65％。     

铝合金表面激光熔敷铜基复合材料涂层的工艺和组织

在ＺＬ１０４铝合金表面激光熔敷铜基混合粉末（ｗ（Ｂ）／％：２０Ｎｉ,８．０Ｃｏ５．０Ｆｅ,６．８Ｍｏ,１．５Ｃｒ,３．５Ｓｉ,０．２ＲＥ,其余为Ｃｕ）,制备了高硬度铜基复合材料涂层。研究发现,熔敷层稀释率随光宽度和扫描速度增大而减小,随激光束产大而显著增大;     

17O Knight shift study in the superconducting state of Sr2RuO4

¹⁷O Knight shift measurements in Sr₂RuO₄ were performed over the wide range of magnetic field 3.2-11.4kOe parallel to the basal RuO₂ planes. The spin susceptibility is totally unchanged through its T_c, evidencing that the spin-triplet superconducting state is realized in Sr₂RuO₄. The result indicates that the Cooper pairs consist of the parallel spin pairs | > and | > with their quantization axis perpendicular to the c-axis direction. The in-plane 2D nearly ferromagnetic spin fluctuations may play a role for the stabilization of this state among various representations of spin-triplet order parameter.     

基于分类和时序的SDN流表更新一致性方案

软件定义网络（Software Defined Networking, SDN）实现了网络的集中控制和网络资源的灵活调度,已成为下一代网络的热点。确保SDN网络流表更新的一致性,对保障网络配置更新过程的正确性,和SDN网络的有效、安全运行,具有重要的意义。本文针对SDN网络配置更新所引起的数据包处理不一致问题,提出一种基于分类和时序的SDN流表更新一致性方案。通过设计交换机分类方案及优化更新顺序,实现了SDN流表更新的一致性和新、旧路径的数据并行传输,在保证方案良好通用性和隔离性的基础上,有效控制了更新时间和交换机存储空间的占用率,并降低了控制器的上传负载。     

Inverting a forest canopy reflectance model to retrieve the overstorey and understorey leaf area index for forest stands

In this article, the Kuusk–Nilson forest reflectance and transmittance (FRT) model was inverted to retrieve the overstorey and understorey leaf area index (OU-LAI) of forest stands in the Longmenhe forest nature reserve in China. Data from detailed sample sites were collected in 30 forest stands representing the typical vegetation community in the study area. An uncertainty and sensitivity matrix (USM) was used to analyse the sensitivity of the FRT model parameters based on these data. The results indicated that overstorey LAI strongly influenced stand reflectance, whereas understorey LAI had a much lower impact. To predict OU-LAI in forest stands, FRT model inversion is carried out by minimizing a merit function that provides a measure of the difference between the reflectance simulated by the FRT model and the reflectance originating from optimal band selection of Hyperion data. Various combinations of Hyperion bands were tested to evaluate the most effective wavelengths for the inversion of OU-LAI. The best estimates from 17 Hyperion bands (5 VIS, 8 NIR, 4 SWIR) by the FRT model inversion showed an R ²?=?0.41 and RMSE/mean?=?0.21 for overstorey LAI and R ²?=?0.49 and RMSE/mean?=?0.91 for understorey LAI. Advantages and disadvantages of FRT inversion for retrieval OU-LAI combined with Hyperion data are discussed.     

基于EDA的单片机实验教学改革的研究与应用

本文根据单片机原理与接口理论和实验教学的经验与研究,分析了目前这门课程实验教学的特点和存在的问题,提出将EDA仿真技术应用于实验教学的先进教学方法,可以大大提高学习积极性和总体能力。     

SVC在无线信道传输中的非均衡差错保护

针对H.264的可伸缩视频编码扩展标准(SVC)在噪声信道中的传输,采用低密度奇偶校验码(LDPC)提出一种非均衡差错保护的方案。在所提的方案中,根据时间、分辨率和质量把原视频序列按重要性分成不同的层。由于不同层的数据对错误的敏感性不同,对其进行不同码率的LDPC信道编码,实现非均衡差错保护。根据视频流中每一帧不同层的PSNR增量不同,和不同信道码率下正确解码的概率不同,反复计算每一帧所有码率组合的PSNR增量值并找出最大组,从而进行信道编码并传输。实验表明,在相同的平均码率条件下,提出的方案相比其他方案的PSNR值增加了2.8 dB,更适合无线信道的传输。     

毯子：一份关于温暖的过去和未来

毯子作为我们生活日用的一部分,其记忆或许源自童年的某个场景。你我记忆中的毯子,可能是毛毡样式的,可能是编织样式的,或许还有刺绣作点缀,虽然“毯子”的样子不尽相同,但是想到它们,那温暖的厚度,绵绵的触感,是毯子在我们脑海中最鲜活印记。     

基于生态声学的虚拟现实影视声景指数量化

针对目前虚拟现实影视作品中声音设计过程中缺乏客观量化指标、过于主观的问题,提出一套基于生态声学的虚拟现实影视声景量化方案.依据生态声学研究理论基础,方案将影视声景元素根据其发声动机划分成自然声、人为声和地球声三个部分,在该分类的基础上,通过计算各类别之间的比例来量化影视声景设计中关于地点、时间、天气等因素.实验样本来源...     

Correlated Differential Privacy of Multiparty Data Release in Machine Learning

Differential privacy(DP)is widely employed for the private data release in the single-party scenario.Data utility could be degraded with noise generated by ubiquitous data correlation,and it is often addressed by sensitivity reduction with correlation analysis.However,increasing multiparty data release applications present new challenges for existing methods.In this paper,we propose a novel correlated differential privacy of the multiparty data release(MP-CRDP).It effectively reduces the merged dataset's dimensionality and correlated sensitivity in two steps to optimize the utility.We also propose a multiparty correlation analysis technique.Based on the prior knowledge of multiparty data,a more reasonable and rigorous standard is designed to measure the correlated degree,reducing correlated sensitivity,and thus improve the data utility.Moreover,by adding noise to the weights of machine learning algorithms and query noise to the release data,MP-CRDP provides the release technology for both low-noise private data and private machine learning algorithms.Comprehensive experiments demonstrate the effectiveness and practicability of the proposed method on the utilized Adult and Breast Cancer datasets.