基于光切法形貌测量的鞋楦定制专家系统

为满足运动鞋制造业中个性化的需求,建立了基于光切法进行三维形貌测量的鞋楦定制专家系统.提出了参数化的标准鞋楦模型数据库,采用最小二乘拟合逼近方法将鞋楦点云数据表示为NURBS曲线从而建立该数据库.提出了根据脚型特征端点对脚型分段的方法.以制鞋经验公式与国家标准为依据,在足印点轮廓区规定出初始分段,然后以产生式的表达规则建立分段鞋楦舒适度经验知识库.将标准鞋楦模型数据库、经验知识库结合推理机制,建立起运动鞋棺定制的专家系统概念,并利用该概念建立起针对运动鞋楦的专家系统,对特定脚型进行了运动鞋楦的定制,此类々家系统可推广至各类鞋楦.     

Performance Analysis of Generic vs.Sliced Tags in HepODBMS

This paper presents a performance analysis of accessing tag data clustered in two different ways,namely event-wise clustering (generic tag)vs.attribute-wise clustering (sliced tag).The results show that especially “Prefetch-optimisation“ results in an additional performance gain of sliced tags over generic tags when only a subset of all the tag attributes is accessed.     

Simulation Analysis of the Optimal Storage Resource Alloction for Large HENP Databases

Large High Energy and Nuclear Physics(HENP)databases are commonly stored on robotic tape systems because of cost considerations.Later,selected subsets of the data are cached into disk caches for analysis or data mining.Because of the relatively long time to mount,seek,and read a tape,it is important to minimize the number of times that data is cached into disk.Having too little disk cache will force files to be removed from disk prematurely,thus reducing the potential of their sharing with other users .Similarly,having too few tape drives will not make good use of a large disk cache,as the throughput from the tape system will form the bottleneck.Balancing the tape and disk resources is dependent on the patterns of the requests to the data.In this paper,we describe a simulation that characterizes such a system in terms of the rsources and the request patterns.We learn from the simulation which parameters affect the performance of the system the most.We also observe from the simulation that,there is a point beyond which it is not worth investing in additional resources as the benefit is too marginal.We call this point the “point-of -no-benefit“(or PNB),and show that using this concept we can more easily discover the relationship of various parameters to the performance of the system.     

基于人脸重要特征和SVM的人脸识别方法

提出了一种基于人脸重要特征的人脸识别方法,首先选取人脸的重要特征并将其具体化,对得到的重要特征进行主成分分析,然后用支持向量机(Support Vector Machine,SVM)设计重要特征分类器来确定测试人脸图像中重要特征,同时设计支持向量机(SVM)人脸分类器,确定人脸图像的所属类别.对ORL人脸图像数据库进行仿真实验,结果表明,该方法要优于一般的基于整体特征的人脸识别方法并有较强的鲁棒性.     

近10年化学领域论文发表前20名国家排名公布

检索汤森路透（ThomsonReuters）基本科学指标数据库（EssentialScienceIndicators,简称ESI）,根据各个国家和地区于2000年1月1日至2010年6月30日在WebofScience数据库的SCI、SSCI收录化学领域期刊上发表的论文,统计分析出前20名国家和地区排名（共有93个国家和地区参与排名）。每个参与排名的国家和地区在这期间发表的化学论文数超过1万篇,排名参照指标为总被引次数（Citations）、文章数（Papers）和篇均被引次数（CitationsPerPaper）。     

微软：先行者先得

结构化财务数据分析未来仍然主要应用于关系型数据库系统,但是财务数据的分析过程中可以采用一些新的引用数据,也就是说．可以把财务分析作为大数据处理的“消费者”,通过财务数据与大数据分析结果的联动,为企业经营提供更多的预测和指导。