Research and Application of Migration of Application System Based on Cloud Computings Platform

云计算采用创新的计算模式，通过互联网技术将资源“以服务”的形式提供给用户，使用户随时获得近乎无限的计算能力和丰富多样的信息服务，目前国外云计算理论已经较为成熟，网络上既有成熟的商业应用，也有成熟的企业/内部云架构方案。本文在虚拟化和云计算成为热门研究方向的背景下，结合云计算平台的现状，以业务系统迁移到云计算平台为研究课题，开展论文研究工作，旨在通过课题的研究，设计一个迁移与整合方法，并对实际操作有建议和指导。 论文的研究工作包括以下几个方面：结合某运营商的数字校园系统，深入介绍迁移和整合方法，给出详细的系统需求报告，基于系统分析的成果，重点研究云计算技术迁移和整合方法，介绍各个迁移和整合方法...Cloud computing is the use of computing resources that are delivered as a service over a network. It enables users to access to virtually unlimited computing power and varieties of information. International wise, cloud computing concept is mature both in commercial applications and enterprise organisation/internal cloud infrastructure planning. This research on telecommunication migration to clou...学位：工程硕士院系专业：软件学院_工程硕士(软件工程)学号：X201023047

Effect of the Work Mode of “Co - management of Doctors of Three Kinds” on Residents＇ Willingness of Community First Diagnosis in Xiamen.

目的：了解厦门市“三师共管”慢病管理模式对居民社区首诊行为的影响。方法：根据经济水平和分级诊疗开展状况，抽取厦门市5个社区，采用自行设计的问卷开展调查；应用x^2检验和logistic回归模型分别对居民社区首诊行为的影响因素进行单因素和多因素分析。结果：共调查400名社区居民，回收有效问卷399份。被调查的社区居民中了解“三师共管”者占37．3％；加入“三师共管”者占21．8％；53．4％的社区居民首诊医疗机构为社区医院。单因素分析结果显示，了解“三师共管”和加入“三师共管”者选择社区医院首诊比例更高（P〈0．001）。多因素logistic回归分析结果显示，了解“三师共管”者选择社区医院首诊是不了解者的2．49倍（OR=2．49，95％CI=1．44—4．30）；加入“三师共管”者选择社区医院首诊是不了解者的2．12倍（OR=2．12，95％CI=1．11～4．06）；了解且加入“三师共管”者、不了解但加入“三师共管”者和了解但未加入“三师共管”者社区医院首诊行为是不了解且未加入“三师共管”者的3．09倍（OR=3．09，95％CI=1．38～6．95）、2．94倍（OR=2．94，95％CI：1．54～5．59）和3．07倍（OR=3．07，95％CI=1．16～8．15），．结论：“三师共管”模式对居民社区首诊行为有积极影响，且了解和加入该模式的联合作用效果更好，为巩固改革效果还需要进一步提升“三师共管”模式的知晓率和管理率。Objective To get knowledge of the effect of chronic disease management mode of “co - management of doctors of three kinds” on residents＇ willingness of community first visit behavior in Xiamen. Methods According to the economic levels and the status of implementation of hierarchical medication in different regions of Xiamen, we sampled five communities as our research objects. Self - designed questionnaire was used to get information from the participants. Chi - square analysis and logistic regres- sion models were used to explore the influence factors of residents ＇ willingness to choose community as first visit. Results Totally, 400 community residents were investigated in our research, and 399 valid questionnaires were collected. The awareness rate of the management mode of “co -management of doctors of three kinds” among the residents was 37.3%. The participation rate of the work mode was 21.8% ; and 53.4% of the residents will choose community as their first visit medical institution. Univariable a- nalysis results showed that residents who have known and joined this work mode will be more willing to choose community for their first medical visit （ P 〈 0. 001 ）. Muhivariable logistic regression analysis results showed that the odds ratio（OR） of choosing com- munity hospital at first visit was 2.49, comparing those who were aware of the work mode to those who were not （ 95 confidence in- terval [ CI ] = 1.44 - 4. 30） ; similarly, having participated in the work mode of “co - management of doctors of three kinds” were more likely to choose community hospital, compared with those who knew nothing about it （OR = 2. 12, 95% CI = 1.11 4.06）; the ORs were 3.09 （95%CI = 1.38 -6.95）, 2.94 （95%CI = 1.54N5.59）, 3.07 （95%CI = 1.16-8.15） re- spectively, when comparing those who knew and joined it, or those who didn＇ t know but took part in it, or those who knew but haven＇ t participated in it, to those who did neither know nor join it. Conclusion The study indicates that国家自然基金青年项目“基于医疗支出SD建模的老年医疗保障制度优化研究”（编号：71403229）;厦门市慢病管理（高血压、糖尿病）的经济学评价（编号：XDHT2015591A）;福建省自然科学基金面上项目（编号：2017J01133

哲学的实验范式与实验方法

>随着实验哲学(experimental philosophy)的发展,哲学研究中的实验范式逐渐显现。该范式具有实证和精确等优点,但在思辨和实验两个方面有其内在局限。实验范式主要运用行为调查和真实实验两类方法,其中行为调查和思想实验渊源颇深,它简便易行,但研究也相对受限;真实实验更接近科学实验,其方法多样,过程更复杂,对设备和操作要求较高。一哲学的实验范式实验哲学是一个新兴的哲学流派,大约在21世纪初肇始于美国,近年来的发展令人瞩目。国家社会科学基金重大项目“认知科学对当代哲学的挑战——心灵与认知科学重大理论问题研究”(11&ZD187)的成

Unsupervised Based Object Recognition with Kinect

现有的物体识别方法大都是有监督学习,而且主要处理的是2d图像数据,由于这类数据给出的背景信息和物体信息少于2.5d场景中的信息,传统有监督的学习方法对于非特定物体的识别效果还是不尽如人意,更别说基于无监督学习的识别系统了。随着kInECT设别的出现,获取场景的2.5d信息变得很容易。设计了一个全新的基于无监督物体识别系统。首先用平面拟合和空间聚合把物体从场景中分离以后。然后用几何基元拟合分割技术把物体分割为不同部件,在此基础上构建物体的图模型,最后把图模型嵌入为向量空间上的点集合,使用扩展陆地移动距离算法计算物体间的相似度。从实验结果来看效果不错。Most object recognition systems are based on supervised learning,and dealing with 2D image which gives little infor mation about the background and foreground.Even state of art supervised object recognition can’t promise good result,let alone unsupervised based system.With the advent of Kinect,it’s more easy to get 2.5D data.This paper proposes an innovative unsu pervised based object recognition system.The first step is to fit plane and use space based clustering to extract objects from the scene.The second step is segmenting objects based on geometry primitive fitting,constructing graph model for each object based on the segmentation result.Finally,embed the graph model to normal vector space and calculate the similarity between objects with extended Earth Mover’s Distance.The experiment gives a good result.国家自然科学基金(61273338

A Fast Baseline Correction Method for Raman Spectroscopy Based on Comparison

拉曼光谱成像技术是基于拉曼散射效应所开发的一项现代检测技术,在现代生产、科学研究过程中使用非常广泛。拉曼光谱信号受荧光效应和仪器等方面的影响,往; 往会产生基线漂移,严重影响对信号特征的进一步提取。因此,必须对拉曼光谱信号进行基线校正。传统的基线校正方法,只针对单一光谱信号,计算量较大,在处; 理由大量拉曼信号组成的成像数据时,耗时较长且效果不佳。该文提出一种基于临近比较的快速基线校正方法,根据在相同背景下采集的光谱之间的相关性,实现快; 速基线校正,提高了拉曼成像数据的处理速度。Raman imaging is a kind of modern testing technology based on Raman; scattering,which has been widely applied in manufacturing and scientific; research. However, due to the fluorescent effect and instruments drift,; the baseline shift could easily occur, which has a strong impact on the; feature extraction of the Raman signals. Therefore,the baseline; correction is necessary and inevitable in the signal processing of Raman; spectra. The traditional baseline correction methods can only correct; the Raman spectrum one by one, so once a large amount of Raman imaging; signals have to be processed, the processing time is too long to accept.; In this paper, the baseline correction base on comparison which; considers the correlation between the Raman spectra and the same; background is proposed to realize the fast baseline correction and; improve the processing speed of Raman imaging data

基于多元判别分析的汉语句群自动划分方法

针对目前句群划分工作缺乏计算语言学数据支持、忽略篇章衔接词的问题以及当前篇章分析较少研究句群语法单位的现象,提出一种汉语句群自动划分方法。该方法以汉语句群理论为指导,构建汉语句群划分标注评测语料,并且基于多元判别分析(MDA)方法设计了一组评价函数J,从而实现汉语句群的自动划分。实验结果表明,引入切分片段长度因素和篇章衔接词因素可以改善句群划分性能,并且利用Skip-Gram Model比传统的向量空间模型(VSM)有更好的效果,其正确分割率Pμ达到85.37%、错误分割率Window Diff降到24.08%。同时该方法在句群划分任务上有更大的优势,比传统MDA方法有更好的句群划分效果。国家自然科学基金资助项目(61202281,61103101);教育部人文社会科学研究项目青年基金资助项目(10YJCZH052,12YJCZH201

基于Maxwell2D/3D的多线圈磁模型建模与仿真

多线圈变压器可以实现多对多电池间电荷均衡,实现快速、安全、低损耗的电池充放电均衡,是一种智能控制的串联电池组双向均衡方式。根据动力锂电池均衡控制策略的需求,分析了多线圈变压器的等效电路以及磁交叉耦合问题,并通过有限元电磁场分析软件AnSOfTMAXWEll进行了验证,为均衡充电控制系统的设计提供了准确的理论和设计依据

RAPD Studies of Parents of Three-Line Hybrid Rice

选用9个随机引物对31份杂交水稻亲本材料进行了rAPd分析，共检测到60条多态性带。聚类分析结果表明，所有供试材料可以被明确地区分。在9个随机引物中，有8个具有较高的多态性检测能力。以这8个引物为基础，选用任两个引物即可在任一对材料中检测出多态性的频率在9613%以上，而选用任3个引物则该频率在9921%以上。这显示了运用rAPd鉴定稻种具有简便、灵敏、高效的优点，在鉴定杂交稻种的实践中有着良好的应用前景。Seven rice male sterile lines, 12 maintainer lines and 12 restorer lines were analyzed by RAPD with 9 primers Altogether, 118 fragments were generated, of which 60 detected polymorphisms among rice lines tested.Cluster analysis showed that all lines could be uniquely distinguished by at least one RAPD marker.Eight of nine primers can detect high polymorphism.The frequencies of polymorphism in any pairs of lines would be higher than 96.13% when any two of the 8 primers were used.If any three of the 8 primers were used, the frequencies would be higher than 99.21%.The eight primers were therefore recommended as candidates for the identification of hybrid rice seeds.国家水稻基因组计划;农业部重点项

用理想化学理论对强溶剂化的二元合金系进行活度预测

本文广泛地探讨了利用理想化学理论对强溶剂化的二元合金系进行活度,超额自由能,混合自由能等热力学数据预测的可能性.对15种不同体系进行了计算和预测,它们是:(1)生成单个化合物的二元合金系;(2)生成两个化合物的二元合金系;(3)生成三个化合物的二元合金系;(4)生成四个化合物的二元合金系.本文为从相图获取较多的热力学数据提供了一个有效的方法.当选取合适的模型参数时,计算结果与实验数据吻合很好