面向快速室内视觉定位的ORB-SLAM2 算法

针对随机采样一致性(random sample consensus,RANSAC)算法在快速去除错误匹配时因随机性导致算法 效率较低的问题,提出一种采用顺序采样一致性(progressive sample consensus,PROSAC)算法来改进ORB-SLAM2 框架中的错误匹配删除方法。通过利用特征点的匹配质量对特征点进行预排序,减少图像匹配过程中的迭代次数; 提出基于最大化割归一化割算法(normalized cuts and image segmentation,Ncut)的全局BA 分段优化算法,以降低计 算复杂度。通过数据集验证,结果表明：优化后的即时定位与地图构建(simultaneous localization and mapping,SLAM) 系统在保持绝对轨迹和相对位姿误差同ORB-SLAM2 基本一致的情况下,相同图像的错误匹配去除的效率提升了 50%,证明了该算法的有效性。     

上海迈向2040全球城市战略目标与功能框架研究

顺应全球化向网络化深化的发展趋势,基于全球城市理论的分析框架,从全球多元格局变革和国家崛起战略需求的角度出发,分析上海建设全球城市的外部环境、影响变量、内在动力、风险挑战。在此基础上,研究提出上海迈向2040全球城市的战略目标、基本标志、目标体系,提出集中体现全球资源配置能力和全球综合服务功能的5大核心功能,即与中国综合经济实力和人民币国际地位相适应的全球金融中心、与中国经济贸易地位及经济转型升级相适应的全球贸易中心、具有全球影响力的科技创新中心、全球先进的信息网络枢纽、具有全球影响力及独特魅力的文化大都市。     

填充墙和现浇板对钢筋混凝土框架结构整体超强的影响研究

为充分实现框架结构的“强柱弱梁”耗能机制，需要考虑填充墙、现浇T形截面梁及其翼缘现浇板内与梁肋平行配置的钢筋对结构整体超强系数的影响。考虑抗震设防烈度、结构层数等因素，严格按我国抗震规范设计了15个典型钢筋混凝土框架结构，对结构进行Pushover 分析，得到了各种结构在非弹性阶段由于内力重分布而形成的超强性能。结果表明：结构设计考虑填充墙、现浇楼板的影响，会提高结构的整体超强能力，结构整体超强系数均随着抗震设防烈度的增高而减小，且先随结构层数的增大而减小，结构层数大于8层后，又随结构的层数的增大而增大。可以保守地认为，分别按抗震设防烈度6，7，8度设计的结构，同时考虑填充墙和现浇板影响时，结构整体超强系数分别至少要达到5.0，3.0，2.0。     

基于转换的攻击图分析方法研究

攻击图是一种分析计算机网络脆弱性的有效工具，它以图的方式描述了攻击者利用系统漏洞和单元间脆弱性信息综合入侵目标网络的行为过程。针对攻击图的最优弥补集问题，文章论证了最优弥补集问题与加权碰集问题之间的等价性，并提供了相应的形式化转换方法。在不增大问题规模的前提下，本文将最优弥补集问题形式化地转换为单一的加权碰集问题以进行求解。理论和实验均表明，在收敛于全局最优解方面，基于转换的分析方法较传统方法有更好的性能。     

冷战后美国全球战略的演变

冷战后,美国从克林顿政府到今天的奥巴马政府,全球战略的发展呈现出了连续性和阶段性。维持美国在世界舞台的唯一领导地位始终是美国全球战略的目标。但在克林顿政府时期、小布什政府时期和奥巴马政府时期,美国全球战略的侧重点和实施手段是存在区别的,它们分别属于"使命导向型"战略、"威胁导向型"战略、"使命导向型"战略。     

浮游植物分布对强台风尼格的响应

研究调查了Ekman流对浮游植物生态动力过程的驱动机制。采用新的光学遥感算法提取浮游植物光学有效信息。该算法结合了近红外波段的浮游植物荧光信号以及可见光部分的弹性散射的辐射传输模型,通过两次迭代优化算法,提取浮游植物光学信号。采用辐射传输软件Hydrolight对海水水下光场进行了数值模拟,并结合新算法对模拟数据进行了对比分析。结果表明,新算法较好地表征了浮游植物叶绿素光学参数。利用MERIS光学遥感数据并结合了动力学参数,利用该算法分析了强台风尼格对我国海域浮游植物分布的影响。研究结果表明,Ekman流是我国海域浮游植物分布异常的原因之一。     

Evaluation of a cloud cover based model for estimation of hourly global solar radiation in Western Canada

Cloud cover based solar radiation models are relatively simple and convenient as the models require the input of cloud cover data which are mostly available from the meteorological stations. In this study, the performance of a cloud cover based solar radiation model (Kasten–Czeplak model) with original or locally fitted coefficients was evaluated for estimating the hourly global solar radiation for four different locations in Western Canada. The average value of R², mean bias error, and root mean square error are 0.69, ?61.6, and 157.9?W?m^?2, respectively, for the model with original coefficients, whereas 0.82, 4.4, 107.1?W?m^?2 with locally fitted coefficients. Results show that the Kasten–Czeplak model with locally fitted coefficients satisfactorily estimated the hourly solar radiation of four different locations in Western Canada. Also, the results indicate that the model with original coefficients has very limited accuracy under intermediate cloud cover conditions.     

On global Hessenberg based methods for solving Sylvester matrix equations

In the first part of this paper, we investigate the use of Hessenberg-based methods for solving the Sylvester matrix equation $AX+XB=C$. To achieve this goal, the Sylvester form of the global generalized Hessenberg process is presented. Using this process, different methods based on a Petrov–Galerkin or on a minimal norm condition are derived. In the second part, we focus on the SGl-CMRH method which is based on the Sylvester form of the Hessenberg process with pivoting strategy combined with a minimal norm condition. In order to accelerate the SGl-CMRH method, a preconditioned framework of this method is also considered. It includes both fixed and flexible variants of the SGl-CMRH method. Moreover, the connection between the flexible preconditioned SGl-CMRH method and the fixed one is studied and some upper bounds for the residual norm are obtained. In particular, application of the obtained theoretical results is investigated for the special case of solving linear systems of equations with several right-hand sides. Finally, some numerical experiments are given in order to evaluate the effectiveness of the proposed methods.     

Design of experiments for Quick U-building method for building energy performance measurement

Quick U-building (QUB) is a method for short time measurement of energy performance of buildings, typically one night. It uses the indoor air temperature response to the power delivered to the indoor air by electric heaters. This paper introduces a method for estimating the expected measurement error as a function of the amplitude and the time duration of the input signal based on the decomposition of the time response of a state-space model into a sum of exponentials by using the eigenvalues of the state matrix. It is shown that the buildings have a group of dominant time constants, which gives an exponential response, and many very short and very large time constants, which have a small influence on the response. The analysis of the eigenvalues demonstrates that the QUB experiment may be done in a rather short time as compared with the largest time constant of the building.     

求解旅行商问题的多样化搜索帝国竞争算法

帝国竞争算法是一种局部搜索能力较强的群智能优化算法，但过度的局部搜索会导致多样性丢失并陷入局部最优。针对这一问题提出基于多样化搜索的帝国竞争算法（MSSICA）。将国家定义为一条可行解，将王国定义成四种特性不同的组合人造解方式。在搜索时使用区块机制保留各自的优势解片段，并对不同的帝国使用差异化的组合人造解方式以搜索不同解空间的有效可行解信息。在陷入局部最优时，使用多样化搜索策略注入均匀分布的可行解替换较无优势的解以提升多样性。实验结果显示，多样化搜索策略可以有效地改善帝国算法的求解多样性，并提升求解质量与稳定性。