密态数据库的检索与信息渗漏

为了提高数据库的安全,防止越过权限控制的信息泄露,利用数据项这一最小粒度作为加密单元,以增强数据库安全。分析了目前数据库中加密数据的方案。提出一种基于平均差值排序的密态数据库检索方法,以隐藏明文序列防止动态追踪。对字段级加密,通过引入干扰因子来隐藏信息的泄露。对可能出现的有限值域信息泄露进行了研究。对文献[5]提出的防泄露算法进行了分析。实验结果表明:改进的方法在增强数据安全的同时,也具有较短的响应时间。     

船闸引航道口门区防淤措施研究

船闸引航道口门区由于特殊的水力条件,其淤积是一个普遍存在的问题.重视泥沙淤积问题的严重性,认真做好前期的分析和研究,积极采取有效的工程措施和运行调度方案,对防止或减缓泥沙淤积,保证通航建筑物的正常使用是非常重要和有效的.借鉴几个已建船闸的经验教训,采用物理模型与数学模型相结合的方法,对一拟建航电枢纽船闸引航道口门区的泥沙淤积问题进行了分析和研究,并提出了以疏浚为主的防治工程措施和合理的运行调度方案.     

带有两种营销模式的供应链合作广告协调模型

本文考虑了带有直营店和代理商两种营销模式的Newsvendor型产品合作广告问题,分别建立了分散决策和集中控制下制造商和代理商的最优广告决策模型,分析了需求的随机性及直营店的营销模式对供应链双方广告决策的影响．给出了一个基于地方促销广告费用分摊的策略以实现供应链协调．最后,用数值仿真验证了本文的相关结论并得到一些重要的管理启示．     

基于WSR方法论的信息系统项目评价研究

以物理 -事理 -人理 (WSR)系统方法论为指导 ,分析了信息系统项目评价的重要性和特殊性。探讨了物理、事理、人理之间的关系 ,WSR的特性以及应用途径。提出了评价信息系统项目新的指标体系模型和算法———DHGF集成法。     

水上交通安全信息处理中的神经网络技术

由于航道信息环境的复杂化 ,使得现代水上交通安全面临着很多严重问题。解决这些问题的出路在于采用先进的信息处理理论和技术 ,而神经网络就是一个最佳的选择。研究分析表明 ,神经网络在水上目标的雷达、红外和声纳检测 ,识别 ,跟踪 ,水上交通安全信息融合 ,船舶避碰决策支持等方面 ,具有良好的应用前景     

一种基于似然比的信息融合与决策方法

针对诊断或决策问题中的多信息特征 ,建立了具有信息融合功能的多级决策结构 ,通过信息融合 ,减小系统输出的不确定性和提高系统决策的可靠性。为解决决策问题中信息的不确定性 ,提出了一种基于似然比的决策策略 ,以结论元间的似然比为决策的中间变量 ,构造了具有局部决策和全局决策两级结构的多级决策器 ,并设计了局部决策规则和全局决策规则。最后通过实例证明了该方法的可行性。     

The regulation of ion channels and transporters by glycolytically derived ATP

Glycolysis is an evolutionary conserved metabolic pathway that provides small amounts of energy in the form of ATP when compared to other pathways such as oxidative phosphorylation or fatty acid oxidation. The ATP levels inside metabolically active cells are not constant and the local ATP level will depend on the site of production as well as the respective rates of ATP production, diffusion and consumption. Membrane ion transporters (pumps, exchangers and channels) are located at sites distal to the major sources of ATP formation (the mitochondria). We review evidence that the glycolytic complex is associated with membranes; both at the plasmalemma and with membranes of the endo/sarcoplasmic reticular network. We examine the evidence for the concept that many of the ion transporters are regulated preferentially by the glycolytic process. These include the Na⁺/K⁺-ATPase, the H⁺-ATPase, various types of Ca²⁺-ATPases, the Na⁺/H⁺ exchanger, the ATP-sensitive K⁺ channel, cation channels, Na⁺ channels, Ca²⁺ channels and other channels involved in intracellular Ca²⁺ homeostasis. Regulation of these pumps, exchangers and ion channels by the glycolytic process has important consequences in a variety of physiological and pathophysiological processes, and a better understanding of this mode of regulation may have important consequences for developing future strategies in combating disease and developing novel therapeutic approaches. Received 20 July 2007; received after revision 30 July 2007; accepted 17 August 2007     

Conotoxins of the O-superfamily affecting voltage-gated sodium channels

The venoms of predatory cone snails harbor a rich repertoire of peptide toxins that are valuable research tools, but recently have also proven to be useful drugs. Among the conotoxins with several disulfide bridges, the O-superfamily toxins are characterized by a conserved cysteine knot pattern: C-C-CC-C-C. While ω-conotoxins and κ-conotoxins block Ca²⁺ and K⁺ channels, respectively, the closely related δ- and μO-conotoxins affect voltage-gated Na⁺ channels (Na_v channels). δ-conotoxins mainly remove the fast inactivation of Na_v channels and, thus, functionally resemble long-chain scorpion α-toxins. μO-conotoxins are functionally similar to μ-conotoxins, since they inhibit the ion flow through Na_v channels. Recent results from functional and structural assays have gained insight into the underlying molecular mechanisms. Both types of toxins are voltage-sensor toxins interfering with the voltage-sensor elements of Na_v channels. Received 27 December 2006; received after revision 30 January 2007; accepted 19 February 2007     

非接触IC卡的信息安全策略论述

讨论了非接触型IC卡的信息安全技术,在应用中为保证非接触型IC卡的数据安全所采取的措施等问题.     

基于深度学习的MIMO系统联合信号检测与信道译码

为进一步提高多输入多输出(multiple-input multiple-output,MIMO)系统性能,研究了深度学习方法来联合解决MIMO系统信号检测与信道译码问题.通过将深度神经网络、自动编码器神经网络与传统MIMO通信系统的物理层架构进行有机融合,构建了基于神经网络的MIMO系统模型,可获取系统发射端的信息比...