单臂氮氧自由基-抗磁金属Cd(Ⅱ)配合物的合成、结构和磁性研究

采用吡啶取代的单臂氮氧自由基与抗磁金属Cd(Ⅱ)进行配位,得到了一个新的单核配合物[Cd(1M4Py)3(OCN)2·2H2O](其中IM4Py=2-(4'-吡啶基)-4,4,5,5-四甲基咪唑啉-1-氧基自由基).单晶X-射线衍射结果表明,配合物属四方晶系,I4(1)/a空间群;晶胞参数a=1 443 9(3)nm,...     

阴阳直径等分圆的和谐美

用阴阳直径等分圆得到的圆形图案,有简单、对称、和谐之美。     

Skin collagen fiber-based radar absorbing materials

By using skin collagen fiber (CF) as raw material,Schiff base structure containing CF (Sa-CF) was synthesized through CF-salicylaldehyde reaction.Then a novel radar absorbing material (Fe-Sa-CF) was prepared by chelating reaction between Sa-CF and Fe 3+.The coaxial transmission and reflection method was used to analyze the complex permittivity and complex magnetic permeability of these CF-based materials,and the radar cross section (RCS) method was used to investigate their radar absorbing properties in the frequency range of 1.0-18.0 GHz.Experimental results indicated that the conductivity of CF increased from initial 1.08×10-11 to 2.86×10-6 S/cm after being transferred into Fe-Sa-CF,and its dielectric loss tangent (tanδ) in the frequency range of 1.0-17.0 GHz also increased.These facts suggest that the Fe-Sa-CF is electric-loss type radar absorbing material.In the frequency range of 3.0-18.0 GHz,Sa-CF (1.0 mm in thickness) exhibited somewhat radar absorbing property with maximum radar reflection loss (RL) of-4.73 dB.As for Fe-Sa-CF,the absorbing bandwidth was broadened,and the absorbing intensity significantly increased in the frequency range of 1.0-18.0 GHz where a maximum radar RL of-9.23 dB was observed.In addition,the radar absorbing intensity of Fe-Sa-CF can be further improved by increasing membrane thickness.When the thickness reached to 2.0 mm,the RL values of Fe-Sa-CF were-15.0-18.0 dB in the frequency range of 7.0-18.0 GHz.Consequently,a kind of novel radar absorbing material can be prepared by chemical modification of collagen fiber,which is characterized by thin thickness,low density,broad absorption bandwidth and high absorption intensity.     

无可信中心的(t,k)门限RSA数字签名体制

提出了一种新的不需要可信中心的门限数字签名方案.在k个成员组成的群组中,只有t个或t个以上成员才能够代表群组签名,而少于t个成员则不能代表群组签名.方案基于Boneh等学者的分布式RSA密钥产生协议和Shamir秘密共享方案而构建.签名过程分为四个阶段:系统初始化、生成个体签名、生成群签名以及签名验证.在系统的初始化阶段不需要可信中心的参与,并且个体签名的生成、群签名的生成和验证都可以方便地实现.通过对方案的安全性分析显示,个体签名和群签名都是不可伪造的,并且在整个签名过程中都没有系统秘密信息的泄漏.     

分布式环境下基于属性证书的RBAC模型

基于角色的访问控制(RBAC)将角色概念引入到访问控制中,极大地方便了用户对资源的访问,同时也减轻了系统保存大量用户信息的压力.在分析RBAC模型的基础上,结合RBAC系统的特点以及SPKI/SDSI证书的优越性,提出了一种分布式环境下的基于属性证书的RBAC模型,定义了属性证书的结构以及描述了用户访问资源的工作流程,对模型的特点进行了总结.分析表明,该模型具有简洁的证书格式、支持匿名访问、单点登录等优点.     

嵌入式系统中USB Host功能的开发

采用自下向上的设计流程,在没有嵌入式操作系统支持的条件下,自主设计和实现了嵌入式USB Host功能．以ISP1362驱动USB海量存储类设备为例,描述了嵌入式USB Host系统的框架结构和底层驱动的设计方法．实验结果表明,遵从海量存储类子协议的USB设备,都能够被系统驱动,而且数据传输速度优于PC机驱动方式．     

The industrial asymmetry of the stock price prediction with investor sentiment: Based on the comparison of predictive effects with SVR

As a representative emerging financial market, the Chinese stock market is more prone to volatility because of investor sentiment. It is reasonable to use efficient predictive methods to analyze the influence of investor sentiment on stock price forecasting. This paper conducts a comparative study about the predictive performance of artificial neural network, support vector regression (SVR) and autoregressive integrated moving average and selects SVR to study the asymmetry effect of investor sentiment on different industry index predictions. After studying the relevant financial indicators, the results divide the Shenwan first-class industries into two types and show that the industries affected by investor sentiment are composed of young companies with high growth and high operative pressure and there are a great number of investment bubbles in those companies.     

法律智能合约平台模型的研究与设计

现有的智能合约技术本质上只是一段链上代码,而真正的智能合约应是法律合约的数字化,可以实现合约条款的自动执行.为此,介绍了法律智能合约的重要科技,包括法律考量、预言机、事件模型等基础设施,在分析相关机构工作的基础上提出了法律智能合约的5个标准开发步骤,通过对法律流程标准的研究提出了设计智能合约模版的方法.为解决智能合约模...     

基于加权主成分分析和改进密度峰值聚类的协同训练算法

[目的]针对协同训练算法在视图分割时未考虑噪声影响和两视图分类器对无标记样本标注不一致问题,提出了基于加权主成分分析和改进密度峰值聚类的协同训练算法.[方法]首先引入加权主成分分析对数据进行预处理,通过寻求初始有标记样本中特征和类标记之间的依赖关系求得各特征加权系数,再对加权变换后的数据进行降维并提取高贡献度特征进行视...     

随机细胞人工神经网络的稳定性

基于细胞神经网络输出函数饱和线性特性,采用分割状态空间为若干子区域的方法,对处于噪声环境下的细胞神经网络的几乎必然指数稳定性进行了分析.在噪声扰动项分别满足Lipschitz条件和线性条件下,依据平衡点所处子区域位置,得到了对应区域中仅依赖于网络参数构成的矩阵负定性的若干代数判别条件.特别地,如果平衡点为区域内点,所得结果是非常方便检验的.研究结果可供网络设计参考,并可用来计算网络抗干扰强度.