用VC设计数码相机、扫描仪和图像采集程序

TWAIN技术规范定义了图像采集硬件与应用软件之间的通讯协议和编程接口标准。文章在解释该技术规范的基础上，介绍如何用visual c^ 来设计数码相机和扫描仪的图像采用程序。     

Component-oriented decomposition for multidisciplinary design optimization in building design

The potential of Multidisciplinary Design Optimization (MDO) is not sufficiently exploited in current building design practice. I argue that this field of engineering requires a special setup of the optimization model that considers the uniqueness of buildings, and allows the designer to interact with the optimization in order to assess qualities of aesthetics, expression, and building function. For this reason, the approach applies a performance optimization based on resource consumption extended by preference criteria. Furthermore, building design-specific components serve for the decomposition and an interactive way of working. The component scheme follows the Industry Foundation Classes (IFC) as a common Building Information Model (BIM) standard in order to allow a seamless integration into an interactive CAD working process in the future. A representative case study dealing with a frame-based hall design serves to illustrate these considerations. An N-Square diagram or Design Structure Matrix (DSM) represents the system of components with the disciplinary dependencies and workflow of the analysis. The application of a Multiobjective Genetic Algorithm (MOGA) leads to demonstrable results.     

基于共享存储的高可伸缩嵌入式集群模型

利用对称多处理机(SMP)作结点可为嵌入式集群带来更高的计算性价比,但多个并行和存储层次也会带来存储一致性、可伸缩性、性能差异等问题.提出一种基于共享存储的嵌入式集群模型LESC.该模型通过高度综合实现"计算单元-互连一致性模块-系统"三级高可伸缩结构,获得功耗成本有效性.LESC完成分布式共享存储的基本功能,其目录缓存一致性和扩展的共享存储机制改善了传统存储层次,并利用"共享存储虚拟网络"提供模块级的高效通信,避免了网络硬件开销,同时支持MPI编程.经该模型的真实系统平台测试,模块内MPI通信性能是传统嵌入式集群的3倍以上,单元间通信性能可达单元内性能的86%以上,Linpack测试其扩展性能在最差情况下接近理想值的70%.     

大企业用电的管理

连续高温天气 ,致使用电负荷连创历史新高。如何有效地使用电力 ,提升电能的效率才是让企事业单位电力产生功效的唯一准则 ,挖掘企业内部的电能控制潜力和电能改善潜力已成为掌控企业未来外部竞争力的关键环节     

Utilizing demand-side management as tool for promoting solar water heaters in countries where electricity is highly subsidized

In many countries, especially those that produce petrol, electricity consumption is often subsidized. This policy leads to very low electricity costs and precludes the widespread use of solar water heaters, which have proven to be economically viable and are extensively utilized in other countries. Herein, we propose a new demand-side planning methodology to deal with such cases and perform an experimental finding–based economic assessment to study the feasibility of reducing subsidies in return for providing brand new solar water heaters to consumers. Specifically, solar water heaters are proposed to be supplied and installed free of charge as part of a demand-side management program in the Erbil province (Kurdistan region, Iraq). Assuming a duration of ten years, we show that the proposed project has a net present value of approximately US$776.6 million and requires an investment of US$90 million, further demonstrating that the successful launch of this project should dramatically reduce the winter peak load of 54 MW.     

电力需求侧管理经济分析

叙述了电力需求侧管理在中国的发展现状及存在的问题,指出,采用电力需求侧管理和一定的激励机制引导电力用户合理用电,可提高电能利用效率,节约电力和电量。     

DSM重介质旋流器流场的数值模拟

采用计算流体力学软件,选用RSM湍流数值计算模型,对DSM型重介质旋流器的流场进行了数值模拟.研究了DSM型重介质旋流器流场的速度分布、密度分布和压力分布,得出4点结论：旋流器内的流体沿着溢流管的外侧向下流动,使旋流器分选时存在短路流,降低了旋流器的分选效率.旋流器内的轴向速度越接近中心越高,大约在旋流器半径的中部通过零点,所有速度为零的个点形成了零轴速包络面（LZVV.旋流器内的切向速度从内向外逐渐升高,在空气柱附近达到最大值,然后逐步下降到最低点.由于回流的作用,在旋流器中间造成负压区形成了空气柱,空气柱截面直径大约为溢流口直径的0.6倍.     

加强电力需求侧管理 促进水泥企业节电

叙述了电力需求侧管理的基本概念,指出,水泥企业是耗能和用电大户,强化电力需求侧管理作为一项重要的节电措施,可以降低企业生产成本,减少碳排放,产生良好的生态环保效益.     

基于全卷积神经网络的无人机影像建筑物提取

针对无人机影像建筑物自动提取时精度低、边缘精细化程度不足导致水利移民征地过程中建筑物面积统计不准确的问题,为提高无人机影像建筑物自动提取精度,利用基于跳层连接的全卷积神经网络进行无人机影像建筑物自动提取,结合无人机数据生产过程中产生的 DSM 对建筑物初步提取结果进行后处理,得到更加精细化建筑物的边缘。结果显示,利用基于跳层连接的全卷积神经网络进行无人机影像建筑物提取,平均 Kappa 系数为 0. 90,平均查准率为 0. 93; 当前常用的分类模型 Deeplab 网络,Kappa 系数为 0. 67,查准率 0. 70; Segnet 网络的 Kappa 系数为 0. 75,查准率为 0. 79。相较于 Deeplab 网络 Kappa 系数提高了 0. 23,查准率提高了 0. 23; 相较于 Segnet 网络,Kappa 系数提高了0. 15,查准率提高了 0. 14。利用 DSM 对初步提取结果进行后处理,处理后 Kappa 系数为 0. 92,查准率为 0. 94。对比初步提取结果,Kappa 系数提高了 0. 02,查准率提高了 0. 01。结果表明,结合 DSM与全卷积神经网络的无人机影像建筑物提取方法具有更优越的提取精度。     

南水北调中线需求侧供水负荷管理调度初探

需求侧供水负荷的管理调度(DSM)技术对供水负荷调峰、减少供需差和有效利用水资源方面具有重要意义。结合南水北调中线调度运行初步研究,提出供水负荷的定义,通过供水负荷的调查分析,提出各种负荷的分类原则和标准。在分析南水北调中线调度运行特点的基础上,提出了基于中线相关调度准则下负荷管理的调度模型理论和多目标分层最优化的计算方法。