Modeling and analyzing dynamic social networks for behavioral pattern discovery in collaborative design

As a newly-developed information exchange and management platform, Building Information Modeling (BIM) is altering the way of collaboration among multi-engineers for civil engineering projects. During the BIM implementation, a large number of event logs are automatically generated and accumulated to record details of the model evolution. For knowledge discovery from huge logs, a novel BIM event log mining approach based on the dynamic social network analysis is presented to examine designers’ performance objectively, which has been verified in BIM event logs about an ongoing year-long design project. Relying on meaningful information extracted from time-stamped logs, networks on the monthly interval are built to graphically represent information and knowledge sharing among designers. Special emphasis is put on measuring designers’ influence by a defined new metric called “impact score”, which combines the k-shell method and 1-step neighbors to achieve comparatively low computational cost and high accurate ranking. Besides, an emerging machine learning algorithm named CatBoost is utilized to predict designers’ influence intelligently by learning features from both network structure and human behavior. It has been found that twelve networks can be easily distinguished into two collaborative patterns, whose characteristics in both network structures and designers’ behaviors are significantly different. The most influential designers are similar within the same group but varied from different groups. Extensive analytical results confirm that the method can potentially serve as month-by-month feedback to monitor the complex modeling process, which further supports managers to realize data-driven decision making for better leadership and work plan towards an optimized collaborative design.     

基于简单再生码的带宽感知的分布式存储节点修复优化

分布式存储系统为保证可靠性会采用一定存储冗余策略如多副本策略、纠删码策略.纠删码相对于副本具有存储开销小的优点,但节点修复网络开销大.针对修复网络开销优化,业界提出再生码与以简单再生码为代表的局部可修复码,显著降低了修复网络开销.然而,现有基于编码的分布式容错存储方案大都假设节点处于星型逻辑网络结构中,忽略了实际的物理网络拓扑结构和带宽信息.为实现拓扑感知的容错存储优化,相关研究在纠删码和再生码修复过程结合网络链路带宽能力,建立树型修复路径,进一步提高了修复效率.但由于编码和修复过程的差异性,上述工作并不适合于简单再生码修复.针对该问题,本文结合实际物理网络拓扑结构,将链路带宽能力引入到简单再生码的修复过程中,对带宽感知的简单再生码修复优化技术开展研究.论文建立了带宽感知节点修复时延模型,提出了基于最优瓶颈路径和最优修复树的并行修复树构建算法.并通过实验对所提算法性能进行了评估.实验结果表明,与星型修复方式相比,论文所提算法有效地降低了节点修复时延,提高了修复效率.     

大规模数据下的社交网络结构洞节点发现算法研究

随着社会网络数据规模的递增,结构洞节点计算涉及的计算量呈几何级增长,如何构建有效的并行化算法并缩短算法运行的时间成为当前研究的难点。针对大规模数据量下结构洞节点发现算法的不足,利用并行化思想设计实现了基于MapReduce的结构洞节点发现算法。该算法通过DBLP,YouTube和Califonia公路网这3组规模不同的数据集在Hadoop集群上运行的实验结果表明,增加DataNode机器节点的数量能够缩短算法运行的时间,提高运行效率且具有良好的并行加速比和扩展性能。     

混合标架下宽斜齿轮三维接触有限元前处理技术

本文针对宽斜齿轮，采用混合标架，建立了轮齿在各个不同位置的啮合时的有限元网格自动生成的算法；并开发了模块化；结构化，参数化的前处理程序，只需输入齿轮基本参数，即可得到完整的轮齿三维接触有限元分析数据文件，本文程序使用方便，适于在工程设计推广使用。     

探析节点对城市空间秩序的规范性

城市作为人类社会的外化产物,其空间内或显性或隐性地存在着秩序.节点是城市空间的重要组成要素之一,节点根据功能关系形成不同的结构,通过场力的作用规范城市空间.在规划设计中,可通过建构节点来达到规范城市空间秩序的目的.     

城市人行地道现状及设计对策分析

对城市人行地道的优缺点进行了分析,提出了一些设计对策,指出人行地道的设计应作为城市空间节点的组成部分来考虑.     

传感器网络中一种非均匀的节点部署算法

传感器节点将收集到的数据传输到簇头,簇头将数据包聚合后再发送到基站。远离基站的簇头,因发送数据的能耗太高而提早死亡。为此,在研究了传感器网络中节点的能耗后,提出一种非均匀的节点部署算法,得出了一个部署传感器节点的密度函数,在远离基站的区域部署较多的节点。仿真实验表明,非均匀的节点部署算法能有效延长网络的生命周期。     

三种基于图论的有限元结点编号优化算法

通过实便分析,叙述了三种基于图论的有限元结点编号优化算法的实现过程,对ＣＭ算法的编码方法进行了一些改进,并与其他几种算法的优化结果进行了对比。     

Neural Networks for Mobile Robot Localisation using Infra-Red Range Sensing

For a robot to be fully autonomous whilst mobile, it is necessary for it to be able to determine its position in its environment. Most of the work on this problem has concentrated on using geometrical techniques which are typically implemented as part of a Kalman filter cycle. This paper examines the possibility of using a neural network to assist in the task of estimating the position of the robot. This is beneficial because it does not require beacons to be placed in the environment or the use of an explicit map of the environment. It does not require knowledge of the previous estimate of the robot’s position. In this paper, Radial Basis Function networks and Multi-Layer Perceptrons are trained to estimate the functional relationship between preprocessed range sensor data and the position of the robot. This approach is assessed using both simulated and real range data.     

宝钢热网计算机优化控制

宝钢一、二期工程投产数年中,蒸汽压力的频繁波动对主生产线造成严重干扰,并时而造成蒸汽放散。为改善宝钢热网运行的被动状况,开发了“热网计算机优化控制”系统,借助于能源中心ＥＭＳ（计算机集散控制系统）植入智能软件,同时完善热网结构及硬件,将原不稳定的热网优化成监控水平高、调节灵活的热力系统,年直接净效益３２７万元,同时减少了生产厂损失。