具有非期望输出决策单元的有效性评价

针对具有非期望输出决策单元DMU的相对有效性 ,提出对其进行评价的非径向FDEA模型 ,并给出模型的相对有效性理论证明 .结合实际算例 ,指出FDEA模型在实际生产过程中对于节约生产资源 ,提高期望输出 ,降低非期望输出 ,特别是减少环境污染有重要应用价值 .     

客户端数据查询网页设计实例

介绍一种采用 Java Script客户端脚本 ,实现数据量不太大的静态数据网上查询的方法 ,给出了网页和脚本程序代码     

应用大数据推进城市社区的治理创新研究——以贵阳市“社会和云”平台为例

贵州省贵阳市在“新型社区·温馨家园”的战略部署下,将全市94个社区全部建成“文明社区”“绿色社区”“平安社区”。贵阳市在社区建设上所取得的成绩,得益于“社会和云”社会治理大数据云平台在助推基层社区治理中所发挥的重要作用。“社会和云”平台通过对基层数据进行信息化、数据化、自流程化、融合化,解决社会治理当中不同程度地存在的底数不清、情况不明、针对性不强、效率不优等问题。其好处在于,第一,打通基层数据通路,社区遇到问题不再通过请示汇报的方式向上级反映,只需通过社区治理平台将问题上传到“社会和云”平台即可,真正实现了“让数据跑路,给社区减负”。第二,通过“一张图+一张表”的实时动态跟踪查询功能,为各级政府开展基层治理提供了“空间可视”。第三,政务数据、社区信息、公共服务在“社会和云”平台上实现全数据融通,为搭建社区治理的多元融合模式提供了必要的保障。     

GPS/GIS车辆监控管理系统中的关键技术

简要论述了车辆监控管理系统的工作原理及通信链路的选择策略，针对一套实用的GPS／GIS车辆监控系统设计方案，详细阐述了系统设计中的关键技术．     

高校体育专业网上选课系统研究

对高校体育专业选修课程模式进行研究，运用ASP语言实现动态网页效果，研制体育专业网上选课管理系统.系统开发采用了结构化设计思想，通过对Access数据库的处理，能够达到和满足使用者的要求.     

从学校文化管理层面上提升高职学院图书馆的馆藏功能

教育作为人类文化传播的载体,是通过学校这个阵地来实现其功能的。学校图书馆是学校文化管理的基地。学校图书馆的馆藏应“虚”“实”结合,“藏”一切信息载体,应发挥它的新的服务功能,使图书馆的文化育人职能得以充分地展现。要采取有效措施,满足文化育人的要求,用文化因素塑造学校精神。     

台湾文学研究前沿问题(笔谈)

本专辑集中讨论了台湾文学研究的一系列前沿问题:当前台湾文学的主流;“重写台湾文学史”;台湾文学的史料发掘的意义;祖国大陆台湾文学研究的现状与新空间的展开;“现代性”与台湾文学研究;分析台湾文论的后结构转型及其影响;提出从文本的语言形态进入日据时期台湾文学研究的理念。     

Maximum Product,Even Less Process: Increasing Efficiencies in Archival Processing Using ArchivesSpace

As the archival profession has adapted to new challenges and adopted modern practices like More Product, Less Process, the University of Minnesota has embraced these changes. Even so, implementing new practices can take time and effort. With the adoption of ArchivesSpace in 2016, the University found itself being fast-tracked to even more efficient methods for establishing physical and intellectual control over collections. This article will examine the case studies of two large collections that were in the midst of being processed when ArchivesSpace was implemented at the University of Minnesota. How did the switch to ArchivesSpace impact the processing of these collections, and how will these experiences impact the future of archival processing at the University?     

Floating collection in an academic library: An audacious experiment that succeeded

Can a floating collection thrive in a large multicampus academic research library? Floating collections have been successful in public libraries for some time, but it is uncommon for academic libraries and unheard of for a large academic library system. This article will discuss the investigation into the feasibility of a floating collection at Penn State University Libraries, its implementation, and continuation for a period covering 2009 through 2015. Attaining the floating collection, limited to monographs in the general stacks of campus libraries, proved to be easier to implement than imagined and resulted in unintended benefits as well as some surprises.     

The Florida Geographic Data Library: Lessons Learned and Workflows for Geospatial Data Management

The University of Florida GeoPlan Center has been organizing, standardizing, and distributing geospatial data since 1998 through the Florida Geographic Data Library (FGDL), a collection of Florida geospatial data from various agencies, as well as data developed in-house. With funding from the Florida Department of Transportation (FDOT), FGDL serves as a public distribution mechanism for hundreds of Florida geospatial data layers. Since 2004, FGDL layers have formed the data foundation for FDOT's interagency application known as efficient transportation decision making (ETDM), which facilitates the review and permitting process for proposed transportation projects. Data layers are standardized and inspected to ensure that the data are adequate for use in analysis and decision making. To efficiently manage the geospatial data and workflows, a quality assurance/quality control (QAQC) process and relational database schema was developed to track the standardization procedures, lineage, versioning, and archiving of the data layers. This article details the history of the Florida Geographic Data Library, challenges of managing a large geospatial data repository, development of a QAQC process and database schema, and lessons learned.