Multi-parameters uncertainty analysis of logistic support process based on GERT

The uncertainty analysis is an effective sensitivity analysis method for system model analysis and optimization. However,the existing single-factor uncertainty analysis methods are not well used in the logistic support systems with multiple decision-making factors. The multiple transfer parameters graphical evaluation and review technique（MTP-GERT） is used to model the logistic support process in consideration of two important factors, support activity time and support activity resources, which are two primary causes for the logistic support process uncertainty. On this basis,a global sensitivity analysis（GSA） method based on covariance is designed to analyze the logistic support process uncertainty. The aircraft support process is selected as a case application which illustrates the validity of the proposed method to analyze the support process uncertainty, and some feasible recommendations are proposed for aircraft support decision making on carrier.     

Delay-dependent robust H∞ control of convex polyhedral uncertain fuzzy systems

The robust H∞ control problem for a class of uncertain Takagi-Sugeno fuzzy systems with timevarying state delays is studied. The uncertain parameters are supposed to reside in a polytope. Based on the delay-dependent Lyapunov functional method, a new delay-dependent robust H∞ fuzzy controller, which depends on the size of the delays and the derivative of the delays, is presented in term of linear matrix inequalities （LMIs）. For all admissible uncertainties and delays, the controller guarantees not only the asymptotic stability of the system but also the prescribed H∞ attenuation level. In addition, the effectiveness of the proposed design method is demonstrated by a numerical example.     

A hybrid model of a subminiature helicopter in horizontal turn

A hybrid model of a subminiature helicopter in horizontal turn is presented. This model is based on a mechanism model and its compensated neural network （NN）. First, the nonlinear dynamics of a sub-miniature helicopter is established. Through the linearization of the nonlinear dynamics on a trim point, the linear time-invariant mechanism model in horizontal turn is obtained. Then a diagonal recursive neural network is used to compensate the model error between the mechanism model and the nonlinear model, thus the hybrid model of a subminiature helicopter in horizontal turn is achieved. Simulation results show that the hybrid model has higher accuracy than the mechanism model and the obtained compensated-NN has good generalization capability.     

Antioxidant responses and salt stress tolerance of Aloe vera irrigated by seawater with different salinity

The variations of antioxidant enzyme activities including superoxide dismutase （SOD： EC 1.15.1.1）, peroxidase （POD： EC 1.11.1.7） and catalase （CAT： EC 1.11.1.6）, lipid peroxidation and major electrolytes in Aloe vera irrigated for three years with seawater having different salinity were studied. The results indicate that POD activity increased significantly at 10% seawater level, whereas decreased at higher seawater levels. The SOD activity decreased with increasing seawater concentration except for treatment with 100% seawater （denoted as T100%） under long-term salt stress. Salinity decreased CAT activity,and increased lipid peroxidation and cell membrane injury. In addition, Ca^2＋ content was high in Aloe irrigated by seawater of low salinity level, but low in Aloe irrigated by seawater of high salinity level. An opposite trend was observed for the effect of seawater on Na^＋ content of plants. K^＋ and Mg^2＋ contents remain relatively stable under various seawater levels, which benefit plant growth.     

基于网格边的复杂曲面优化展开

提出了一种基于网格边的复杂曲面优化展开的新方法.该方法以曲面三角网格中各网格边的长度为优化变量,以展开前后网格边的长度误差为优化目标,以网格中各内部点均可展为约束条件,并用牛顿法和矩阵分块等方法对该优化问题进行求解,构造出与原始曲面边长误差最小的可展曲面.最后对构造出的可展曲面用基于中心三角片的"涟漪式"展开方法进行展开,从而实现复杂曲面的优化展开.数值实验结果表明,该方法具有稳定性好、收敛速度快、展开精度高、展开操作简单等优点,可以应用于各种复杂曲面的优化展开.     

大规模网络中BitTorrent流行为分析

在使用基于特征串方法准确采集国内最流行的P2P应用--BitTorrent应用流量的基础上,研究了BitTorrent应用的流长、流持续时间、流速以及端结点传输的流量、连接数等测度的分布,并分析了各分布中的异常情况.分析结果表明:BitTorrent应用流量已占网络总流量的60%;BitTorrent平均流长超过总体TCP流长的20倍;流长、流持续时间均服从Weibull分布,且二者行为相似;BitTorrent平均流速低于总体TCP流速,但随着流长的增长流速增快;BitTorrent网络有很强的不平衡性,约1%的结点贡献了80%的流量和连接数.     

八达岭-十三陵风景名胜区旅游资源调查与评价

八达岭-十三陵风景名胜区是1982年11月经国务院批准的第一批全国重点风景名胜区之一.本次调查工作依据<风景名胜区规划规范GB50298-1999))的要求对八达岭-十三陵风景名胜区的旅游资源类型,分布状况,交通状况,旅游设施状况等进行详实调查,并评价分析其旅游特色,初步提出保护和绿化规划建议.为下一步的规划管理工作提供详细资料.     

基于ArcEngine的北京房屋普查信息系统设计与实现

目的是清查北京房屋的数量和现状,对海量的各类房屋数据进行快速查询和分析.方法为利用GIS技术,结合房屋普查结果,以Visual Basic语言和GIS组建库ArcEngine为平台建立信息管理系统.结果以北京市房屋普查数据为基础,建立北京市房屋普查信息管理系统,得到各种类型的统计数据、图表和反馈分析.     

非均衡数据下基于注意力网络和代价敏感学习的轨面状态识别

准确识别轨面状态,可为列车牵引/制动性能提升提供关键依据。重点针对传统代价敏感学习应用在非均衡轨面状态识别中存在的同类别样本重要性不同和多数类精度下降等问题,提出一种基于注意力网络和代价敏感学习的轨面状态识别方法。该法首先利用迁移学习思想将均衡数据集的特征迁移到非均衡轨面状态数据集,减轻少数类样本误分类影响;其次在骨干网络ResNet18中引入卷积注意力机制模块,增强网络对目标区域的特征学习能力和全局特征信息的感知性能,调整优化网络权重参数;最后构造依据轨面状态样本重要性大小的自适应加权平衡损失函数,降低决策边界对困难样本中多数类的过拟合,获得更加平滑的决策边界。非均衡数据下的实验结果表明,在3种非均衡比下,所提方法的准确率和召回率分别达到96.00%、90.67%、86.33%,与目前常用的方法Focal相比,分别提升了7.00%、2.34%、3.00%。此外,该方法在提高少数类召回率的同时可有效维持多数类的召回率,并且降低了网络训练时间成本。     

郑州西南郊埋藏型岩溶热储水化学特征

针对郑州市西南郊埋藏型下古生界碳酸盐岩中储存丰富的地热资源,开展了该区域主要热储层水化学剖面研究,分析了水化学及同位素特征。结果表明：地热流体水化学类型以SO₄-Ca、SO₄·HCO₃-Ca型为主,为弱碱性水、淡水-微咸水;通过热平衡分析结合离子分析综合判断,地热流体处于水岩作用初级阶段,采用石英温标估算热储温度为52.9～92.4℃,热储循环深度1 388～3 069 m;西部、西南部海拔606～920 m低山区的大气降水是主要补给源,在向东部平原漫长的迁移过程(运移速率1.571～0.129 m/a)中与碳酸盐岩矿物和石膏产生强烈的水-岩作用,并在深部的溶洞、溶隙及基岩裂隙中积蓄了大量的水热能,构造适宜地段,3 000 m深度有望获得70℃以上的地热流体。研究成果不仅深化了该地区下古生界碳酸盐岩热储层的水化学特征认识,还可进一步有效指导该地区水热型地热资源的勘探开发。