B2C电子商务中多商品配送中心优化设计的模糊规划模型

针对经营多类商品的B2C电子商务企业顾客需求总量小，品种多，位置分散等特点，提出用分级聚类法将顾客进行分类，并模糊估计每类顾客单位重量商品配送运输费用，建立了B2C电子商务中多商品配送中心优化设计的模糊规划模型。模型考虑了配送中心建设投资和流通加工的规模经济效应，因而目标函数中具有非线性项，难以用常规的方法求解。为此，首先将模型进行清晰化转换，然后设计了嵌入单纯形法的遗传算法对之进行求解。仿真实例表明了模型和算法的有效性和可行性。     

Approach to synthesis of novel chiral 3-chloro-2(5H)-furanone and its application in asymmetric reactions

The synthetic method of the novel chiral synthon, 5-l-menthyloxy-3-chloro-2-(5H)-furanone 5a and its application in asymmetric reactions were investigated. 5a is easily obtained in highly optical purity, and acts as a stable acceptor of Michael addition with oxygen nucleophiles in tandem double Michael addition / internal nucleophilic substitution to offer the spiro-cyclopropane derivative containing four stereogenic centers 8, which it is difficult to obtain by routine methods. The synthetic methods for 5a and 8 are reported in detail and the new compounds are identified on the basis of their analytical data and spectroscopic data, such as UV, IR,¹H NMR,¹³C NMR, MS and elementary analysis. The absolute configuration of the interesting spiro-cyclopropanes, spiro [1-chloro-4-(l-menthyloxy)-5-oxo-6-oxa-biscyclo[3.1.0]hexane-2,3′-(4′-/-menthyloxy-5′-l-menthyloxybutyrolactone)] 8 was established by X-ray crystallography. This result can provide important synthetic strategy in synthesis of some complex molecules containing spiro-cyclopropane skeleton with multiple chiral centers.     

城乡一体化背景下镇江中心城空间结构研究

为了在城乡一体化背景下构筑一个科学合理的镇江中心城城乡经济社会可持续发展环境,在对镇江中心城结构演变过程进行分析和对＂一城两翼＂中心城空间结构进行解读的基础上,可从空间、交通、生态、产业布局等多个方面将镇江中心城的空间结构优化为＂一城两翼多中心＂的格局。     

购物中心被动设计节能潜力的标准化模拟

通过标准化的建模及模拟,对购物中心被动设计在方案阶段的节能潜力展开量化评价。以寒冷地区为例,提取出具有典型气候特征的3种购物中心标准几何模型和运行参数;并选取Grasshopper和EnergyPlus分别作为参数化建模和能耗模拟软件;同时,从场地、建筑和围护结构3个层面,总结出影响购物中心节能潜力的24个被动设计参量;最终通过模拟得到24个被动设计参量在3种标准模型中的节能潜力及排序。结果表明：入口风速、走廊空间、天窗面积比和屋面传热系数是影响寒冷地区购物中心节能潜力的4个重要设计参量,此结果可为设计师在方案阶段进行建筑优化设计提供量化指导。     

对南京市健身中心健身操教练员现状的调查分析

本文采用问卷调查，访谈和文献资料等研究方法，对南京市健身中心健身操教练的文化程度，专业水平，授课情况和工资待遇等问题进行了分析，结果表明：缺少男性教练员，教练员水平偏低，健身操内容相对单一。本文据此提出了相应的对策。     

最优聚类中心雷达目标一维距离像识别

提出了一种基于最优聚类中心的雷达目标一维距离像识别方法。该方法利用训练数据集建立最小平方距离准则下的最优变换矩阵 ,使用该变换矩阵可增大同类目标的特征聚合性 ,从而减少同类之间差异 ,同时 ,通过在子像空间选定一组最优聚类中心来增大异类目标特征的可分离性 ,加大异类之间差异 ,提高雷达目标识别率。仿真实验结果表明了该方法的有效性。     

基于聚类中心分离的模糊聚类模型

在模糊C-均值聚类（FCM）目标函数的基础上按聚类中心分离原则增加一个聚类中心分离项来扩展FCM算法,提出基于聚类中心分离的模糊聚类模型(FCM_CCS)。该模型可使聚类过程中的聚类中心之间距离扩大,从而得到更好的聚类效果。由于该模型和FCM一样对噪声敏感我们提出它的可能性聚类模型(PCM_CCS),最后进一步扩展成它的可能性模糊聚类模型(PFCM_CCS)。基于聚类中心分离的可能性模糊聚类模型在处理噪声数据和克服一致性聚类问题方面表现出良好的性能。对数据集的测试实验结果表明了提出的PFCM_CCS能同时产生模糊隶属度和典型值,使聚类中心间距扩大,同时具有更好的聚类准确率。     

一孔截面测算多圆心法检测深孔轴线直线度

针对深孔轴线直线度难以精确测量的情况,提出了一孔截面测算多圆心法检测深孔直线度;该方法综合考虑深孔零件内外表面质量,利用超声波测厚仪和计算机测算出深孔零件每一截面上多个圆心,拟合一条能包含所有圆心且直径最小的圆柱。该圆柱的直径即为深孔轴线的直线度。每一深孔截面上测算了多个圆心,比只测一个圆心的方法更为严格;从外壁测量不受内径大小的限制,测量时容易观察和控制测量的姿态从而保证检测结果的正确性。     

QoS-Aware Virtual Machine Scheduling for Video Streaming Services in Multi-Cloud

Video streaming services are trending to be deployed on cloud. Cloud computing offers better stability and lower price than traditional IT facilities. Huge storage capacity is essential for video streaming service. More and more cloud providers appear so there are increasing cloud platforms to choose. A better choice is to use more than one data center, which is called multi-cloud. In this paper a closed-loop approach is proposed for optimizing Quality of Service (QoS) and cost. Modules of monitoring and controlling data centers are required as well as the application feedback such as video streaming services. An algorithm is proposed to help choose cloud providers and data centers in a multi-cloud environment as a video service manager. Performance with different video service workloads are evaluated. Compared with using only one cloud provider, dynamically deploying services in multi-cloud is better in aspects of both cost and QoS. If cloud service costs are different among data centers, the algorithm will help make choices to lower the cost and keep a high QoS.