An incentive compatible reputation mechanism for P2P systems

In peer-to-peer (P2P) systems, peers often must interact with unknown or unfamiliar peers without the benefit of trusted third parties or authorities to mediate the interactions. Trust management through reputation mechanism to facilitate such interactions is recognized as an important element of P2P systems. It is, however, faced by the problems of how to stimulate reputation information sharing and honest recommendation elicitation. This paper presents an incentive compatible reputation mechanism for P2P systems. It has two unique features: (1) a recommender’s trustworthiness and level of confidence about the recommendation is considered for a more accurate calculation of reputations and fair evaluation of recommendations. (2) Incentive for participation and honest recommendation is implemented through a fair differential service mechanism. It relies on peer’s level of participation and on the recommendation credibility. Theoretic analysis and simulation show that the reputation mechanism we propose can help peers effectively detect dishonest recommendations in a variety of scenarios where more complex malicious strategies are introduced. Moreover, it can also stimulate peers to send sufficiently honest recommendations. The latter is realized by ensuring that active and honest recommenders, compared to inactive or dishonest ones, can elicit the most honest (helpful) recommendations and thus suffer the least number of wrong trust decisions.     

多级VPN技术在疫情直报网络中的应用

随着传染病网络直报的不断发展和关键业务不断增加,对传染病网络直报系统的安全性、可靠性、实时性提出了新的严峻挑战。本文分析了构建武汉市疾控系统VPN网络的背景及整体构架,阐述如何利用IPSEC VPN和SSL VPN技术构建国家、省、市、区疾控系统VPN网络的方法,真正实现资源共享和"一网多用"。     

Spectral reflectance response of Fraxinus mandshurica leaves to above- and belowground competition

The responses of leaf spectral reflectance of Fraxinus mandshurica saplings to above- and belowground competition were studied under field conditions in a temperate forest near the Changbai Mountain Nature Reserve in northeast China. Two sets of four treatments, each inducing different levels of competition, were applied under the shade of the forest canopy and in a clear felling area under full light exposure. The heights of the saplings were measured once a month and leaf reflectance was measured at the same time. At the end of the experiment, all target saplings were excavated, and their biomass and root morphological traits were analysed. All these traits were then compared with the leaf spectral reflectance values and different spectral indices. We found that changes in height and biomass were significantly affected by the treatment and site, and that the differences between the four treatments coincided well with the differences in the spectral indices. The final biomass and all root morphological attributes were significantly affected by the treatment and site. Again, these differences corresponded well with the differences in the spectral indices and the spectral reflectance curves. In conclusion, we found that leaf spectral reflectance was sensitive to competition and showed a close relation with other responses, which makes it a reliable indicator of the response of F. mandshurica to varying competition intensities, especially when competition is very severe.     

检测与修补移动机械手系统的协调控制技术研究

针对2自由度轮式移动载体与5自由度机械手组成的检测与修补移动机械手进行了运动分析及其控制技术的研究．首先分析了移动机械手的结构特点,描述了移动载体与机械手的动力耦合对机械手系统的性能影响．其次,根据移动机械手动力学的复杂性,提出了移动机械手的运动控制策略,建立了基于神经网络的移动机械手三层智能控制的体系结构,底层是执行层,中间层是处理层,顶层是决策层．处理层包括两个RBF神经网络子控制器,未知的移动载体和机械手的动力学参数分别由各自的RBF神经网络辨识和补偿,形成闭环逼近的控制．应用Matlab编程软件对所建立的RBF神经网络进行训练仿真,最后,在实验环境中对移动机械手的运动进行了相关的实验验证．实验结果验证了移动机械手完成相关任务的有效性和可靠性．     

ICP-AES测定人造骨中主量元素钙和磷

通过酸度溶解试验、共存元素干扰实验，确定了最佳测定条件，建立了ICP-AES测定人造骨．高纯羟基磷酸钙中高含量磷（18％）和钙（40％）的分析方法。样品加标回收率为99．0％-101．3％，相对标准偏差≤0．31％。该方法简便 ：快速、准确可靠。     

水轮机过流部件磨蚀机理的研究

分析了水轮机过渡部件磨蚀的特点,总结出过流部件的磨蚀主要是冲蚀磨损,气蚀破坏及它们的联合作用。决定冲磨损的关键因素是材料的弹性模量,影响气蚀破坏的主要因素是材料的硬度,提出了提高过流部件抗磨蚀性能的方法。     

悬臂梁式微型阀

分析了悬臂梁微型阀的静态过流特性,得到了阀的静态压差－－流量曲线并与实验结果比较。采用悬臂梁的拓动微分方法分析了悬擘梁式型阀的动态过波特性。当阀片两介的压差随时间变化时,阀片的启闭与压差的变化之间的存在一定的相位差,有可能引漏甚至反向流动。对阀片的几何尺寸对动态过流特性的影响进行了分析。     

Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA

Compound fault characteristics in single-channel vibration signals of rolling bearings are difficult to separate. On the basis of improved harmonic wavelet packet decomposition and fast independent component analysis (FICA), this study proposes a new method to address this problem. First, a series of mutually independent frequency bands are obtained after harmonic wavelet packet decomposition of the initial vibration signal to satisfy the requirement that the number of observed signals must be larger than the number of source signals in the FICA algorithm. Second, the optimal frequency bands are selected based on the maximum kurtosis index and used as the input matrix of the FICA algorithm to separate the compound fault characteristics further. Lastly, accurate separation and extraction of the compound fault characteristics of the rolling bearings are realized. Results show that the proposed method can effectively separate the compound fault characteristics in the single-channel vibration signals of the bearings.