Effects of military training on positive behavior development of university students —Taking Zhangzhou Institute of Technology as an example

大学是很多人走入社会、走向工作岗位的最后一道门坎，被称为“亚社会”，特别是高职教育，不但要让学生掌握较强的职业技能，还应该让学生具备较高的文化素质和道德水平，培养出“高素质”与“技能型”相结合的人才。 当前90后的大学生在生活、学习、社会交往活动中表现出诸多不良行为习惯，不仅影响了自身的健康、学习和人际关系，也给高校教育造成了负面影响。目前高校德育工作又往往忽视了对大学生良好行为习惯的培养，追求注重较高层次的思想道德教育，使得大学生的不良行为普遍存在，生生不息，给高校教育管理工作带来很大的困难。 “什么是教育，简单一句话，教育就是要养成习惯，”高校教育要发挥预防和纠正大学生不良行为习惯，培...Being the threshold of society entrance and jobs, universities, especially vocational education, is known as a “Virtual Society", which not only to enable students to master fluent professional skills, but also to enhance the quality of students and public morals, so as to cultivate "high quality" and "skilled" personnel. The current 90s students have being revealing some bad behavioral habits i...学位：教育学硕士院系专业：体育教学部_高等教育学学号：X200929000

Research and Realization on some Problems of Modeling of Data Warehouse

目前，人们大都是从如何提高数据仓库上层的OLAP算法和数据挖掘技术来优化连接和聚集查询的效率。然而，一个数据仓库环境的成功与否，很大程度上取决于它的底层模型和标准化程度。基于此，本文以福建省重点科技项目《开放式数据仓库集成环境的研究与实现》为前提，并在原有国内外关于数据仓库模型和规范化资料的基础上进行了这次课题设计。主要针对4个方面的问题进行了研究。第一，我们基于经典逻辑理论给出了雪花模型形式化定义的4个条件，并通过理论和实例分析，对这4个条件进行了改进，产生了改进型的雪花模型的形式化定义。并从形式化定义出发给出了机器所能接收的判定算法。这样，可以使机器自动识别一个数据库模式是否是雪花模型，从...Presently, people advance the efficiency of join and aggregation by optimizing the OLAP algorithm and data mining technology. However, it is very important for the success of data warehouse environment to adopt the effective model and the way of standardization. Based on the project of data warehouse, we do the deep research on 4 aspects. First, we put forward the formalizing definition abo...学位：工学硕士院系专业：计算机与信息工程学院计算机科学系_计算机应用技术学号：20022801

A Join and Aggregate Algorithm for Complex Multi-Dimensional Hierarchies

由于数据仓库中存储着不同粒度、容量巨大的数据记录 ,所以如何有效地执行联机分析处理 (OLAP)查询操作 ,特别是连接和聚集操作 ,便成为数据仓库领域的核心问题之一 为此 ,提出了一种降低连接和聚集操作的新算法 (joinandaggregationbasedonthecomplexmulti dimensionalhierarchies,JACMDH) 算法充分考虑了复杂多维层次的特点 ,在原有的位图连接索引 (bitmapjoinindex)的基础上 ,采用层次联合代理 (hierarchycombinedsurrogate)和预先分组排序的方法 ,使得复杂的多维层次上的连接和聚集操作转化成事实表上的区域查询 ,从而在处理多维层次聚集的同时 ,提高了连接和聚集的效率 算法性能分析和实验数据表明 ,JACMDH算法和目前流行的算法相比 ,其性能有显著的提高Enormous volume of data reside in data warehouse, so it is important to process efficiently expensive queries including join and aggregate operation. In this paper, a new method (JACMDH algorithm) is proposed for processing time-consuming join and aggregate operation. This algorithm takes into consideration the characteristics of the complex multi-dimensional hierarchies and adopts hierarchy combined surrogate/pre-grouping and pre-sorting on the basis of bitmap join index. It improves the join and aggregate efficiency by translating join and aggregate operation of complex multi-dimensional hierarchies into range queries of fact table. The performance analysis and the experimental result, show that the performance of JACMDH algorithm can be improved dramatically, compared with current method for aggregation query evaluation.福建省自然基金项目 (A0 3 10 0 0 8) ;; 福建省高新技术研究开放计划重点基金项目 ( 2 0 0 3H0 43

欧美学术视野下的中国文学史书写——以《哥伦比亚中国文学史》为视角

作为新世纪以来欧美地区久负盛名的一部中国文学通史,《哥伦比亚中国文学史》在新历史主义、解构主义的新文学史观影响下,充分体现了欧美汉学界中国文学研究的理论视角、学术传统和研究模式。尽管受他者视域的影响,这部文学史的研究仍存在一定的认知局限,但其西方语境下独特的文学思路,以及立足文化视角的文学史编撰理念、探求文学多样性和复杂性的撰述模式、跨学科与跨文化的学术传统和研究方法等书写特点,体现了域外中国文学史研究的接受态度和评价标准,也为当下中国文学史研究带来了重要的启示和思考

Research on Web-Based Integrated Environment for Data Warehouse

随着Web技术的日臻成熟,基于Web的数据仓库技术显示了强大的优势,更好地适应了企业生存发展的需要。本文描述了一个基于Web的数据仓库集成环境(WIEDW)及其主要技术,将数据仓库的设计、部署、管理与利用集成在同一个平台中,使得数据仓库具有良好的整体性能,为用户提供一个数据仓库的设计、运行、维护平台环境,提高了企业建立、维护数据仓库应用系统对决策活动的实用性。该集成环境架构在J2EE软件体系结构上,利用了Jdbc、JavaBean等技术,使系统具有良好的可靠性、可扩展性及安全性。With the rapid growth of Web technologies,the Web-based data warehouse has become a dominant trend,because it can be more beneficial to enterprises. This paper describes a Web-based Integrated Environment for Data Warehouse (WIEDW) and the main technologies which integrate the design,running and maintenance data warehouse, and it will improve enterprises to build and maintain data warehousing for decision. The integrated Environment is based on the J2EE software architecture, which uses the techniques of Jdbc and JavaBean,and the reliability, expansibility and security of the system are favorable.福建省自然基金(A0310008);; 福建省高新技术研究开放计划重点项目资助(2003H041

An Incrementing Update Algorithm for Star Schema

在进行数据仓库的OLAP联机分析处理时,通常采用预先聚集(Aggregate)操作生成概括数据的方法提高查询效率;但是,基于星型模型的数据仓库中的维表的纠错改变和自然改变将会引发概括数据的不正确问题.本文通过研究星型模型维表及其变化的特点,提出了一种增量更新算法,在几乎不增加空间的情况下,降低时间复杂度的增量更新;并通过性能验证,分析算法的可行性.In dealing with on-line analytical processing, in order to improve the querying efficiency, people often pre-aggregate the data in the data warehouse. But the corrective and natural changing of dimensional tables based on star schema make the aggregate data false. In this article, I advance an incrementing update algorithm by studying dimensional tables of star schema and their changing characteristic. This algorithm reduce the time cost and increase the space cost hardly. Finally,this article analyze the algorithm's performance by validating its feasibility

Research on the Reuse Mechanism of DSS Model Based on Web Service

模型重用是DSS模型研究的重要问题之一.本文提出把DSS模型分成动态模型和静态模型并分类进行管理,同时利用WebService技术向远程客户端提供模型服务;而用户则通过客户端模型调用组件向WebService调用不同的模型服务.这样更好地实现了在分布式异构环境中的模型重用,另一方面也使得模型易于使用和管理.Model reuse is one of the important issues in the research of DSS model.This paper purposed to categorize the DSS models into two types:dynamic model and static model,and manipulate them by different means,meanwhile provide model service to the distant clients by the Web Service technology,the clients use a general component to post their request to the distant Web Service.In this way,we can implement the model reuse more efficiently in the distributed and heterogeneous environment,and make it more easy for use and management.福建省自然科学基金计划资助项目(A0310008);; 福建省高新技术研究开发计划重点项目(2003H043

An E?cient Method for Parallel Processing of Skyline Queries

SkylInE查询是近年来数据库领域的一个研究重点和热点,这主要是因为SkylInE查询在许多领域有着广泛的应用.现有的工作大都集中于单处理机环境,然而,由于SkylInE查询是CPu敏感的,因此,在实际应用中,现有的方法具有很大的局限性.基于此,提出一种有效降低处理SkylInE查询时间开销的并行算法PAPSQ(PArAllEl AlgOrITHM fOr PrOCESSIng SkylInE QuErIES).算法有机结合多维数据对象的自身特性和通用多处理机系统的实施优点,以SkylInE查询搜索偏序格为底层结构,利用多维数据对象的同胚评估值和偏序格加权技术来有效提高并行处理SkylInE查询的效率.实验评估表明,PAPSQ算法具有有效性和实用性.Skyline query processing has recently received a lot of attention in database community.Most related works focus on the single processor environment.However, since skyline queries are CPU-sensitive and time costly, the existing methods have prodigious limitations in real applications.Motivated by the above fact, in this paper, we propose an effcient method for parallel processing of skyline queries, called parallel algorithm for processing skyline queries (PAPSQ).The PAPSQ algorithm seamlessly combines the speciality of multidimensional data objects and the implementary advantage of universal multiprocessor systems.Specially, the PAPSQ algorithm takes the partial order lattice of skyline queries as substrate structure, and utilizes the homeomorphism evaluation of multidimensional data objects and the weighted technology to markedly improve the performance of parallel processing of skyline queries.Furthermore, detailed theoretical analyses and extensive experiments are given to demonstrate that the algorithm is both effcient and effective.国家高技术研究发展计划(863计划)(2008AA04Z106);国家自然科学基金(60903032);教育部博士点基金(20090072120056);同济大学青年优秀人才基金(0800219093)资助---

An Efficient Method for Parallel Multi Dimensional Join and Aggregation

随着并行计算算法的完善和廉价、功能强大的多处理机系统的成熟 ,使得采用多处理机系统来并行处理多维数据仓库的连接和聚集操作成为当前有效提高OLAP查询处理性能的首选技术 为此 ,提出一种降低连接和聚集操作开销的并行算法PJAMDDC(paralleljoinandaggregationformulti dimensionaldatacube) 算法充分考虑了多维数据立方体的存储机制和多处理机分布系统的结构特点 ,在原有聚集计算多维数据立方体的搜索点阵逻辑结构的基础上 ,采用多维数据仓库的层次联合代理 (hierarchycombinedsurrogate)和对立方体的搜索点阵进行加权的方法 ,使得立方体数据在多个处理机间的分配达到最佳的状态 ,从而在分割多维数据的同时 ,提高了并行处理多维连接和聚集操作的效率 算法实验评估表明 ,PJAMDDC算法并行处理多维数据仓库的连接和聚集操作是有效的Along with the perfection of parallel computing algorithms and the maturity of cheap but powerful multiprocessing systems, parallel multi dimensional join and aggregation on data warehouse with the multiprocessing system becomes the preferred technology for efficiently improving OLAP operation In this paper, a new method(PJAMDDC algorithm) is proposed for processing time consuming join and aggregate operation In this method, by taking into consideration the characteristics of the storage mechanism of multi dimensional data cube and the structural characteristic of multiprocessing system and adopting hierarchy combining surrogate/search lattice of data cube with weight on the basis of the former logic structure of search lattice of data cube It advances the join and aggregate efficiency by achieving the optimal state for distribution of data cube between processors As illustrated by experimental result of the performance analysis, PJAMDDC algorithm is efficient when it is used for parallel multi dimensional join and aggregation on data warehouse福建省自然科学基金项目 (A0 3 10 0 0 8);; 福建省高新技术研究开放计划重点项目 ( 2 0 0 3H0 43