基于关联开放数据的数字文化资源语义融合方法研究——欧洲数字图书馆案例分析

[目的/意义] 通过对国内外数字文化资源语义融合相关研究成果的总结和Europeana案例分析,为国内数字文化资源整合的研究与实践提供参考和借鉴。[方法/过程] 选取目前发展较为成熟的数字文化资源整合项目Europeana作为案例,分别从资源内容描述规则、语义知识本体模型设计、元数据语义化操作和关联数据的发布与访问4个方面对其数字文化资源语义融合的实现方法进行分析。[结果/结论] 研究发现,构建聚合式元数据模型、建立细粒度语义概念模型、创建开放的语义关联数据网络、提供泛在化关联数据应用服务是实现数字文化资源语义融合的关键。     

语料库语言学研究综述

随着计算机技术空前迅速的发展 ,电脑语料库语言学对语言研究的许多领域产生了愈来愈大的影响 ,文章回顾了语料库的发展过程 ,举例探讨了它在语言研究和教学领域中的作用     

A learning-based method to detect and segment text from scene images

This paper proposes a learning-based method for text detection and text segmentation in natural scene images. First, the input image is decomposed into multiple connected-components (CCs) by Niblack clustering algorithm. Then all the CCs including text CCs and non-text CCs are verified on their text features by a 2-stage classification module, where most non-text CCs are discarded by an attentional cascade classifier and remaining CCs are further verified by an SVM. All the accepted CCs are output to result in text only binary image. Experiments with many images in different scenes showed satisfactory performance of our proposed method.     

用Excel处理化学中的计算问题

利用Excel处理化学中算术平均值、平均偏差、相对平均偏差、标准偏差、相对标准偏差、物质的量浓度、溶液的H+浓度、溶液的pH值、缓冲溶液等一些常见的数据处理和计算问题。     

Explaining match outcome in elite Australian Rules football using team performance indicators

The relationships between team performance indicators and match outcome have been examined in many team sports, however are limited in Australian Rules football. Using data from the 2013 and 2014 Australian Football League (AFL) regular seasons, this study assessed the ability of commonly reported discrete team performance indicators presented in their relative form (standardised against their opposition for a given match) to explain match outcome (Win/Loss). Logistic regression and decision tree (chi-squared automatic interaction detection (CHAID)) analyses both revealed relative differences between opposing teams for “kicks” and “goal conversion” as the most influential in explaining match outcome, with two models achieving 88.3% and 89.8% classification accuracies, respectively. Models incorporating a smaller performance indicator set displayed a slightly reduced ability to explain match outcome (81.0% and 81.5% for logistic regression and CHAID, respectively). However, both were fit to 2014 data with reduced error in comparison to the full models. Despite performance similarities across the two analysis approaches, the CHAID model revealed multiple winning performance indicator profiles, thereby increasing its comparative feasibility for use in the field. Coaches and analysts may find these results useful in informing strategy and game plan development in Australian Rules football, with the development of team-specific models recommended in future.     

Apriori算法在网上考试系统中的应用

在远程教育系统的网上考试系统模块中,数据库和数据仓库中的用户交互数据记录了用户对系统的访问行为信息,利用最小支持度和最小置信度,挖掘出频繁项集,对这些信息的分析有利于远程教育教学管理人员和教师掌握学生对知识的掌握情况,从而可以对教学内容加以改进,对教学平台进行优化.     

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 .     

基于三坐标测量仪的特征线数据采集方法

阐述了三坐标测量仪数据采集在逆向工程中的重要作用.通过研究三坐标测量仪数据采集的基本原则和路径规划方法,提出了基于三坐标测量仪的特征线数据采集方法,实现了基于三坐标测量仪的简单型面及自由曲面的数据快速采集.     

基于大数据的高职英语写作教学改革探讨

信息技术以及各种移动设备的日益普及将人类带入了全新大数据时代。大数据时代的到来为高职英语写作课程带来了前所未有的机遇和挑战,高职英语教师必须做好充分准备,更新教育教学理念和思维方式,提升信息技术水平,在教学模式、教学方法和写作评价方式等方面进行大胆创新,培养学生自主学习能力,切实提高英语写作水平。     

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