基于谐振原理的硅微机械加速度计

基于力学振动原理 ,导出敏感梁类谐振振动的微分方程 ,给出了振梁型加速度计的设计原理。指出了加速度计谐振梁频率的相对变化量与梁的厚度无关 ;为避免输出非线性频率信号 ,频率的相对变化率和激励振动的振幅都不宜太大     

电磁波在包含各向异性媒质多层介质中传播的分析

对电磁波在包含各向异性媒质多层介质中的传播进行分析，给出了闭合形式的解，该结构可用作法拉第旋转器，与其它准光元件组合构成的准光环行器或隔离器。也可用作辐射口径，通过改变磁化场方向和强度实现波束扫描或极化变化，给出了法拉第旋转角计算结果和实验结果。     

准最佳二进阵列偶

本文在最佳二进阵列、准最佳二进阵列和最佳二进阵列偶的基础上,定义了一种新的最佳信号,即准最佳二进阵列偶.讨论了准最佳二进阵列偶的体积、变换性质,并对其进行了Fourier频谱分析,得到了部分有益的结果.还用计算机穷举搜索出了体积从2~24的准最佳二进阵列偶.     

依缓冲库调速CIMS可靠性分析的位相结构方法

本文提出了依缓冲库调速ＣＩＭＳ可靠性分析的位相结构方法，从闭环排队网络出发，利用准生灭过程理论，给出了系统的各种可靠性指标和生产指标，讨论了系统局部运行期的们相特征，最后给出了两个数据算例。     

Estimation in Random Coefficient Autoregressive Models

Abstract. We propose the quasi‐maximum likelihood method to estimate the parameters of an RCA(1) process, i.e. a random coefficient autoregressive time series of order 1. The strong consistency and the asymptotic normality of the estimators are derived under optimal conditions.     

水下拖曳体多源信息监控系统设计与实现

基于海洋电法探测系统中水下拖曳体对多源信息实时监控的需求,设计了一种准实时监测拖曳体的运动状态与环境信息的监控系统。该系统可与水面监控器保持命令与数据沟通,并在监控器的指令下启动水下电法仪执行参数设置、数据采集等操作。经系统样机的海上测试结果表明,系统性能稳定可靠,能够在其他水下信息采集作业中得到推广应用。     

PRIVACY LEAKAGE IN HEALTH SOCIAL NETWORKS

Members of health social networks may be susceptible to privacy leaks by the amount of information they leave behind. The threat to privacy increases when members of these networks reuse their pseudonyms in other social networks. The risk of re‐identifying users from such networks requires quantitative estimates to evaluate its magnitude. The estimates will enable managers and members of health social communities to take corrective measures. We introduce a new re‐identification attack, the social network attack, that takes advantage of the fact that users reuse their pseudonyms. To demonstrate the attack, we establish links between MedHelp and Twitter (two popular social networks) based on matching pseudonyms. We used Bayesian networks to model the re‐identification risk and used stylometric techniques to identify the strength of the links. On the basis of our model 7‐11. 8% of the MedHelp members in the sample population who reused their pseudonyms in Twitter were re‐identifiable compared with 1% who did not. The risk estimates were measured at the 5% risk threshold. Our model was able to re‐identify users with a sensitivity of 41% and specificity of 96%. The potential for re‐identification increases as more data is accumulated from these profiles, which makes the threat of re‐identification more serious.     

A Discrete‐Time Global Quasi‐Sliding Mode Control Scheme with Bounded External Disturbance Rejection

A global quasi‐sliding mode control (GQSMC) scheme is introduced to ensure zigzag motion with a smaller bound than that offered by Gao's method and to provide disturbance rejection throughout the entire response in discrete time. The design of an augmented forcing function is followed by three conditions in discrete time extended from global sliding mode control (GSMC) in continuous time. Furthermore, we adopt a switching gain, which is auto‐tuned as a function of sliding surface s(k), such that chattering phenomena can be considerably alleviated during the steady‐state, significantly reducing switching control applied to the plant. The proposed GQSMC scheme can provide more advantages such as an even distribution of the control input throughout the entire response and an improvement in the accuracy and speed of the desired performance, guaranteeing a quasi‐sliding mode throughout the entire response. In addition, we also consider the input disturbance rejection according to the norm‐bounded exogenous signal. Results from both the simulation and the experiments are reported. The results further verify that we can use the global sliding surface to curtail reaching the phase stage.     

一类多输出k阶拟Bent函数的构造及其密码学性质

给出了多输出k阶拟Bent函数的一种构造方法.该方法通过组合两个无共同变元函数而构造出多输出k阶拟Bent函数.同时,还讨论了所构造的这类多输出k阶拟Bent函数的代数次数,非线性性,平衡性,扩散性及稳定性等密码学性质.这些性质来显示,多输出拟Bent函数是一类密码学性质良好的多输出函数.用作分组密码体制的非线性组合器时,能有效地抵抗差分分析和线性分析的攻击.另外,它还可应用于多输出前馈网等方面.     

一种新的盲源分离拟开关算法

针对电子战中各种信号混叠严重难以分离的现象,在盲源分离开关算法基础上提出一种新的盲信源分离拟开关算法.该算法引入单位对称加权滑动向量来加权每次迭代所得的分离信号作为源信号,用峭度取代原算法的峭度符号位作为判断函数来自适应选择加权相应激活函数,以此优化学习算法,结合信号分选的具体应用,给出了迭代结束的评判方法.计算机仿真实验表明,在强噪声背景影响下,该算法能够更加有效地分离空间未知多源线性混叠信号,且在分离效果、稳定性、处理速度和抗噪性能上都比原算法有较大改进.