基于模糊决策的风力发电产业评价研究

根据风力发电技术产业的特点,构建改进层次分析与模糊一致矩阵相结合的方案决策数学模型,该模型既可以减少确定判断矩阵的盲目性,又可以避开评价体系中各等级间的隶属度确定问题,使评价结果更加可靠,适合于信息尚不完整、受主观因素影响较强的评价。实例验证了这一模型的合理性、可行性和有效性,具有实用价值。     

水库水中有机物特性对生成消毒副产物的影响

饮用水中消毒副产物( DBPs)对人体健康构成极大威胁,明确水源水中有机物的特性及对DBPs生成的影响,是实现DBPs有效源头控制的关键环节.研究探讨了上海某水库水源水中有机物不同组分与消毒副产物生成潜能之间的关系,为水处理工艺及饮用水安全保障技术研究提供基础性数据.结果表明,水样中亲水性有机物比例占到60％左右;各组分的相对分子质量分布情况以小于1 000的小分子为主;加强消毒前水处理工艺对亲水性和小分子有机物的去除,可以有效控制DBPs的生成.     

Stabilization of a memristor-based chaotic system by intermittent control and fuzzy processing

This paper further investigates the problem of intermittent control of a memristor-based Chua’s oscillator and presents the oscillator as the T-S fuzzy model system. Based on Lyapunov stability theory, we design an intermittent controller to guarantee the stability of the chaotic system. Simulation results are presented to verify the effectiveness of the method.     

基于机器视觉的微片状物厚度检测

针对片状颗粒厚度检测的实际需求,结合机器视觉、图像处理和嵌入式技术,设计与实现了一套基于高性能ARM11的微片状颗粒厚度检测系统。该系统以QT和S3C6410为软硬件平台,提出了利用轮廓提取和最小矩形边界框相结合的方法计算片状颗粒厚度。结果表明,该检测系统具有处理速度快,测量精度高和成本低廉等优点,满足了对颗粒厚度测量的需求。     

Spatial variability of thermal regimes and other environmental determinants of stream fish communities in the Great Lakes Basin,Ontario, Canada

Temperature is one of the most important environmental variables in stream ecosystems because it affects the growth, survival and distribution of stream biota. This study examined if the spatial variability of thermal regimes and 18 other environmental variables were associated with fish communities in watersheds throughout the Great Lakes Basin (GLB), Ontario. The thermal regimes were defined as regimes 1, 2 and 3 and had maximum water temperatures of 26.4, 28.4 and 23.5°C, and spring warming rates of 0.20, 0.12 and 0.10 °C d^?1, respectively. The spatial variability of the thermal regimes (VTR) within the watersheds was summarized into four VTR groups: S1, S2, M23 and M123. Stream sites in S1 watersheds had temperatures characteristic of regime 1 whereas stream sites in S2 watersheds followed regime 2. M23 watersheds had sites with a mix of regimes 2 and 3 whereas M123 watersheds had all three thermal regimes at sites throughout watersheds. Canonical correspondence analysis (CCA) indicated that 16% of the variation in fish communities was related to the spatial VTR in the watersheds. Forward selection CCA indicated that elevation, the S1 VTR group, sparse forest cover, wetland area, base flow index (groundwater discharge potential), flow and industrial stress explained 42% of the variance in the fish communities. Simplified indicator species analysis (ISA) showed that different species could be used as indicators for each of the VTR groups. Human activities such as industrial development, deforestation, groundwater withdrawal and flow alteration all may affect the environmental variables related to stream fish communities. Copyright © 2010 John Wiley & Sons, Ltd.     

一种基于分段测量的Internet端到端性能参数估计方法

传统的基于测量的Internet性能参数估计要求测量点是端到端路径的起点和终点,这一方面使得测量和估计带有很大盲目性,增加了网络流量;另一方面会导致测量方法难于实施,估计结果不准确。提出了基于分段测量的思想,对ITU-T定义的延迟、延迟变化、丢包率和错误率4个参数进行测量和估计。由于测量是分段进行的,每次测量值都可应用于多条端到端路径的性能参数估计,因此降低了盲目性并大大减少了网络流量。为验证本方法的性能,基于PlanetLab平台设计和实现了生成器、性能参数测量机和结果收集器。通过在全球的100多个节点上的部署和为期一个月的运行证明了该方法便于实施,并且具有较高的准确性。     

SQL Server的数据库加密技术的研究与实现

数据库加密就是对数据库的文件或数据进行加密,数据加密后以密文方式存储,即使被窃取、被拷贝,机密数据也不会被敌对方获取。本文介绍了SQL Server数据库常见的安全问题和数据库加密技术,提出了一种对于数据库字段的加密技术。     

基于切削成形能力模型的加工特征识别方法

为了实现CAD与CAPP系统的有效集成,提出了以切削成形能力模型为基础的加工特征识别方法.通过引入成形函数揭示了切削成形过程的核心要素;据此提出切削模式概念,构建了以切削模式为核心的切削成形能力模型,实现加工表面到加工方法的映射.该模型应用于加工特征识别,为零件表面生成可行的加工方法集合;在此基础上,以提高零件的加工效率为目标建立优化模型,为每一个表面筛选出合适的加工方法,并将同一次装夹下使用同一把刀具加工的表面聚集为一个加工特征,从而实现加工特征的识别.最后通过实例测试验证了文中方法的正确性和有效性.该方法能有效地解决现有特征识别中存在的鲁棒性较差、相交特征识别困难等问题.     

A simple linear time certifying LBFS-based algorithm for recognizing trivially perfect graphs and their complements

We introduce a simple, linear time algorithm for recognizing trivially perfect (TP) graphs. It improves upon the algorithm of Yan et al. [J.-H. Yan, J.-J. Chen, G.J. Chang, Quasi-threshold graphs, Discrete Appl. Math. 69 (3) (1996) 247–255] in that it is certifying, producing a P₄ or a C₄ when the graph is not TP. In addition, our algorithm can be easily modified to recognize the complement of TP graphs (co-TP) in linear time as well. It is based on lexicographic BFS, and in particular the technique of partition refinement, which has been used in the recognition of many other graph classes [D.G. Corneil, Lexicographic breadth first search—a survey, in: WG 2004, in: Lecture Notes in Comput. Sci., vol. 3353, Springer, 2004, pp. 1–19].