长沙城市品质建设的三个维度

城市品质蕴含于物化的城市形式和市民生活之中，集社会生活质量、社会信誉、社会责任和文化于一体，是一种看得见、摸得着、感受得到的品位。市民主体对所在城市的认同感、归属感、安定感、满足感，以及外界人群的向往度、美誉度是衡量城市品质的重要指标。全面提升城市品质、提高市民生活质量成为现代城市发展和城市建设的一大趋势。合理借鉴国内外品质城市如新加坡、成都、乌镇建设的经验，营造古朴与现代相融的城市格调、休闲时间与休闲空间兼备的淡雅闲逸人文梦境、开放包容的君子气象，是高品质长沙建设的三个重要维度。其中，城市格调强调开发与保护并重，现代科技与城市文脉水乳交融，打造出古朴与现代交相辉映的城市特色与魅力；城市人文梦境强调低碳生活，保持蓝天白云、青山绿水等清新优美的自然生态，提供市民高品质生活所需的休闲时间和休闲空间，营造市民既脚踏实地又仰望星空，既能追梦又能圆梦的人文梦境；城市君子气象则强调以人为本、与人为善、民胞物与、谦恭礼让、平和大度、淡定从容、热情好客的市民素养。     

SLD模型中具有形（0，qk）的状态珗S＝（Φ，B）为 k次致胜状态

给出了具有时滞 d＝2的容错 e＝1搜索模型（SL D模型）中具有形（0,qk ）状态S＝（Φ,B）为 k次致胜状态,并给出了相应的提问策略。     

水稻主要有害真菌生物防治研究进展

水稻真菌病害是影响水稻高产的严重病害。生物防治是防治水稻病原真菌病害十分重要的途径。根据近几年国内外对水稻真菌病害生物防治的研究情况,主要综述了水稻主要真菌病害生物防治过程中生防菌的种类和应用,包括真菌、细菌和放线菌的种类和应用及生物防治中存在的问题。     

重金属对植物的毒害及植物的耐性机制

重金属是一类重要的环境污染物.受重金属胁迫,植物细胞的膜透性、光合代谢、呼吸代谢、酶代谢、遗传效应发生改变、脯氨酸积累;植物的耐性机制表现在耐重金属生态型的产生、重金属结合多肽的形成、重金属离子的区域化以及活性氧自由基清除系统的活化.     

脂肪酶基因结构和氨基酸序列的比较

采用PCGENE6 8软件系统对真菌脂肪酶基因和氨基酸序列进行了分析。真核生物中多数结构基因中含有内含子 ,但真菌脂肪酶基因几乎有一大半的是连续的 ;对于有内含子的基因 ,不同脂肪酶基因所含内含子数目各异。所有脂肪酶一级结构中都包含Gly X1 Ser X2 Gly保守序列 ,在真菌脂肪酶中该序列更保守 ;Ser、Asp/Glu和His3个氨基酸残基组成了真菌脂肪酶的活性中心 ;大多数真菌脂肪酶是糖蛋白 ,但也有一些不含糖基的脂肪酶 ,主要取决于脂肪酶一级结构中是否存在糖基化识别序列。     

关于4连通图的容错直径和宽直径的一个新结果

容错直径Dk可以度量容错网络中数据传输延迟，宽直径d。能度量网络的容错度和传输效率，因此容错直径和宽直径是设计和评估网络性能的重要参数．对于任意k连通图，它的容错直径DI不超过宽直径Dk,证明了当D2≥3时，d4≤3（D2-1）（D3—1）[2（D3-1）（D4-1）-5]-3/2D2^2＋3/2D2＋1     

基于Multi-Agent系统的预测支持系统的结构

Agent技术是人工智能和计算机科学领域内新兴的研究热点,自治Agent和多Agent系统为复杂软件系统的分析、设计和实现提供了新的思路.给出一种基于Multi-Agent系统的预测支持系统的结构,将系统设计成由多个Agent组成的多Agent系统.各个Agent有自己的功能,可以独立自主地运行,还可以协同工作完成系统整体目标.     

FTC of hidden Markov process with application to resource allocation in air operation

This paper investigates the feedback control of hidden Markov process(HMP) in the face of loss of some observation processes.The control action facilitates or impedes some particular transitions from an inferred current state in the attempt to maximize the probability that the HMP is driven to a desirable absorbing state.This control problem is motivated by the need for judicious resource allocation to win an air operation involving two opposing forces.The effectiveness of a receding horizon control scheme based on the inferred discrete state is examined.Tolerance to loss of sensors that help determine the state of the air operation is achieved through a decentralized scheme that estimates a continuous state from measurements of linear models with additive noise.The discrete state of the HMP is identified using three well-known detection schemes.The sub-optimal control policy based on the detected state is implemented on-line in a closed-loop,where the air operation is simulated as a stochastic process with SimEvents,and the measurement process is simulated for a range of single sensor loss rates.     

Fault tolerant control based on stochastic distribution via RBF neural networks

A new fault tolerant control (FTC) via a controller reconfiguration approach for general stochastic nonlinear systems is studied. Different from the formulation of classical FTC methods, it is supposed that the measured information for the FTC is the probability density functions (PDFs) of the system output rather than its measured value. A radial basis functions (RBFs) neural network technique is proposed so that the output PDFs can be formulated in terms of the dynamic weighings of the RBFs neural network. As a result, the nonlinear FTC problem subject to dynamic relation between the input and the output PDFs can be transformed into a nonlinear FTC problem subject to dynamic relation between the control input and the weights of the RBFs neural network approximation to the output PDFs. The FTC design consists of two steps. The first step is fault detection and diagnosis (FDD), which can produce an alarm when there is a fault in the system and also locate which component has a fault. The second step is to adapt the controller to the faulty case so that the system is able to achieve its target. A linear matrix inequality (LMI) based feasible FTC method is applied such that the fault can be detected and diagnosed. An illustrated example is included to demonstrate the efficiency of the proposed algorithm, and satisfactory results have been obtained.     

一种远程容灾系统的设计与实现

设计和实现了一种异地容灾系统,系统采用本地冗余和异地冗余相结合,服务和存储相分离的结构,采用本地控制中心作为事件处理中心和数据转发的缓存。并且设计了一种动态的失效检测算法,算法综合考虑了消息的延迟、丢失、当前网络状况和当前系统状况,能够有效的降低误判率和加快服务自动恢复速度。测试表明该系统的数据恢复速度和服务切换速度有了明显的提高。实际应用中系统运行稳定,性能良好,达到了高级别容灾系统要求。