面向汽车零部件产业链云服务平台的采购订单整合技术

针对汽车零部件产业链供应商企业群的订单整合集成问题,提出了面向云服务平台订单整合的技术方案.在抽象出订单整合多级映射关系的基础上,建立了多层级订单映射树模型.采用弹性化的动态可配置接口,构建出面向汽车零部件产业链云服务平台的映射规则库,将复杂映射转换为直接映射.运用订单映射树的层级关系,采用映射整合算法,将来自不同整车厂的大批量异构订单整合为供应商企业群所需的零部件生产计划集.结果表明,运用多层级订单映射树模型能支撑面向汽车零部件产业链云服务平台订单整合的扩展应用.     

基于Google Earth的数字城市快速建模——以扬州科技学院扬子津校区为例

以扬州科技学院扬子津校区为例, 以Google Earth为数据源, 以ArcGIS和天正软件为平台, 针对建筑施工图是否佚失, 分别从两条路径制定数字城市建模方案, 一是利用ArcGIS进行建筑物空间位置控制, 二是在空间控制的基础上或利用ArcGIS建模并在SketchUp软件中对模型进行细化处理, 或是直接将建筑施工图导入GIS平台中, 最终将两类数据在ArcGIS平台加以融合, 从而使三维数字城市建模变得快速, 高效, 极大降低了数字城市建设的成本, 同时还对该成果在城市规划、楼盘营销、数字导航领域中的应用进行了初步探讨.     

Experimental study on total dissolved gas supersaturation in water

More and more high dams have been constructed and operated in China. The total dissolved gas (TDG) supersaturation caused by dam discharge leads to gas bubble disease or even death of fish. Through a series of experiments, the conditions and requirements of supersaturated TDG generation were examined in this study. The results show that pressure (water depth), aeration, and bubble dissolution time are required for supersaturated TDG generation, and the air-water contact area and turbulence intensity are the...     

中间件技术在异构数据库同步中的应用

随着计算机技术的发展以及网络技术的普及,大多数数据库环境更多的是由不同的平台组成。中间件技术已经开始被广泛应用于异构数据库的数据交换。本文通过对信息系统中异构数据库系统基本特征的研究。讨论了异构数据库系统的同步方法和需要解决的问题,并对各类中间件技术的特点和应用进行了介绍。在深入分析了 TongIntegrator 企业应用集成平台的体系结构的基础上,给出了利用该工县实现异构数据库同步的解决方法。     

传统制器之道——中国汽车造型设计之本土化根源

在现代汽车制造业中,造型设计已经成为了现代汽车高速发展的强大推动力。后工业文明时代的汽车造型设计更加重视对文化的继承和发展,融入本土制器之道的设计已成为设计的主流意识之一。     

工业过程控制传感器

概要介绍了在工业过程领域中应用的传感器 ,论述了过程控制传感器的发展现状和需求、并对过程控制传感器技术和市场及发展趋势进行了预测     

在VisualC＋＋中不依赖MATLAB环境调用其函数的方法

VisualC 是Windows平台下强大的应用程序开发环境,MATLAB是一个功能强大的数值计算和结果可视化的软件。一种有效的将两者紧密结合起来的方法是,在MATLAB环境下利用MATLAB函数开发某些计算程序,将其编译成不依赖MATLAB环境的C函数,在VisualC 中将此C函数编译成动态连接库,然后在VisualC 环境中开发应用程序界面等功能并加载所开发的动态连接库。     

绥化市地下水水化学特征及水质现状评价

为了查明绥化市的地下水环境状况,运用描述性统计、地统计学理论、相关分析、Piper三线图法等对绥化市的地下水水化学特征进行全面分析。在此基础上采用了基于综合赋权的五元联系数法对研究区水质现状进行评价,并且利用秩相关系数法进行水质变化趋势分析。结果表明,研究区地下水略偏酸性,部分水样的水质指标存在超标现象。地下水中Ca 2＋为优势阳离子,HCO 3－为优势阴离子。研究区的铁、锰、氟超标是受原生污染影响,地下水中的Cl－与SO 2－4,Na＋与Mg 2＋存在同一来源。将基于综合赋权的五元联系数法的评价结果与模糊综合评判法相比较,结果表明其评价结果是合理可靠的,符合客观实际。通过秩相关系数法表明研究区地下水水质状况在一定程度上有所改善。     

近期黄河水沙量锐减的原因分析及认识

20世纪90年代以来,黄河来水来沙量减少幅度较大,对形成这种现象的成因进行分析研究,才能对今后黄河的来水来沙丰枯性质有一个较为全面的认识。通过对近期部分河段历年暴雨、洪水、泥沙实测资料的对比分析,认为近期水沙量的减少不仅与近年来黄河中游水利水保措施的快速发展、工农业用水的增加、一些支流开矿截断地下水流等人类活动有关,还与近期中游地区暴雨及大暴雨量级减小及频次减少有关。根据黄河水沙一般以丰、平、枯周期出现的规律,今后中游地区还会发生高强度的暴雨,因此在黄河规划及工程设计中除考虑水利水保减沙作用以外,必须考虑高强度暴雨及大水沙年的加入,这样才能使流域规划和工程设计建立在稳妥可靠的基础上,这也关系到治黄规划的指导思想和战略部署。     

Extracting non-negative basis images using pixel dispersion penalty

Non-negativity matrix factorization (NMF) and its variants have been explored in the last decade and are still attractive due to its ability of extracting non-negative basis images. However, most existing NMF based methods are not ready for encoding higher-order data information. One reason is that they do not directly/explicitly model structured data information during learning, and therefore the extracted basis images may not completely describe the “parts” in an image [1] very well. In order to solve this problem, the structured sparse NMF has been recently proposed in order to learn structured basis images. It however depends on some special prior knowledge, i.e. one needs to exhaustively define a set of structured patterns in advance. In this paper, we wish to perform structured sparsity learning as automatically as possible. To that end, we propose a pixel dispersion penalty (PDP), which effectively describes the spatial dispersion of pixels in an image without using any manually predefined structured patterns as constraints. In PDP, we consider each part-based feature pattern of an image as a cluster of non-zero pixels; that is the non-zero pixels of a local pattern should be spatially close to each other. Furthermore, by incorporating the proposed PDP, we develop a spatial non-negative matrix factorization (Spatial NMF) and a spatial non-negative component analysis (Spatial NCA). In Spatial NCA, the non-negativity constraint is only imposed on basis images and such constraint on coefficients is released, so both subtractive and additive combinations of non-negative basis images are allowed for reconstructing any images. Extensive experiments are conducted to validate the effectiveness of the proposed pixel dispersion penalty. We also experimentally show that Spatial NCA is more flexible for extracting non-negative basis images and obtains better and more stable performance.