蒙古文显示在OpenOffice.org办公套件中的实现

蒙古文是一种复杂文字,目前操作系统和办公套件都还不支持蒙古文的显示。OpenOffice.org是可以运行在Linux和Windows上跨平台的办公套件,它分别使用ICU LayoutEngine和Uniscribe进行复杂文字处理。本文以支持蒙古文处理的Linux版本OpenOiffice.org为基础,详细分析了OpenOffice.org在Linux和Windows系统上的复杂文本处理过程,采用Uniscribe与ICU相结合的方案,实现了OpenOffice.org在Windows平台上对蒙古文的显示。     

OpenOffice.org文档结构的研究与分析

阐述OpenOffice.org文档的压缩存储方式以及这种方式和其他的多种存储方式相比的优势;针对OpenOffice.org的各种文档描述了它们的结构,并且讨论了从OpenOffice.org的XML文档中读取元数据方法;最后进一步讨论了OpenOf-fice.org的XML元数据读取的意义以及它和文档结构化其他研究的关系。     

Sustainability of Open Source software communities beyond a fork: How and why has the LibreOffice project evolved?

Many organisations are dependent upon long-term sustainable software systems and associated communities. In this paper we consider long-term sustainability of Open Source software communities in Open Source software projects involving a fork. There is currently a lack of studies in the literature that address how specific Open Source software communities are affected by a fork. We report from a study aiming to investigate the developer community around the LibreOffice project, which is a fork from the OpenOffice.org project. In so doing, our analysis also covers the OpenOffice.org project and the related Apache OpenOffice project. The results strongly suggest a long-term sustainable LibreOffice community and that there are no signs of stagnation in the LibreOffice project 33 months after the fork. Our analysis provides details on developer communities for the LibreOffice and Apache OpenOffice projects and specifically concerning how they have evolved from the OpenOffice.org community with respect to project activity, developer commitment, and retention of committers over time. Further, we present results from an analysis of first hand experiences from contributors in the LibreOffice community. Findings from our analysis show that Open Source software communities can outlive Open Source software projects and that LibreOffice is perceived by its community as supportive, diversified, and independent. The study contributes new insights concerning challenges related to long-term sustainability of Open Source software communities.     

基于OpenOffice应用程序开发之研究

OpenOffice.org办公套件是一套功能完善的开源免费软件,但目前国内的使用者不多,关于OpenOffice.org的应用程序开发也较少。怎么能利用OpenOffice.org免费,获取方便的特点来扩展其他应用程序的应用范围,是值得软件开发人员去思考和研究的。通过查阅相关文档,可以看到OpenOffice提供丰富的接口类供开发人员使用,只要灵活应用这些接口,想要开发一些基于OpenOffice的应用程序其实非常方便。     

藏文支持在OpenOffice.org办公套件中的实现

办公套件是人们日常应用最为广泛的信息处理软件之一,但真正意义的藏文办公套件至今都尚未问世,成为藏文信息技术发展的“瓶颈”。开源项目OpenOffice.org的不断发展和日益成熟,为藏文办公套件的研制开发提供了有利的契机。以OpenOffice.org为源代码基础,采用藏文编码字符集(扩充集A)国家标准,研制的藏文办公套件可支持藏文排版习惯和藏文本地环境,着重解决了藏文文本自动断行的问题,能够满足藏语文用户日常办公需要。     

基于OpenOffice.org蒙古文办公套件的设计与实现

作为蒙古文信息处理的重要组成部分,开发符合蒙古文应用习惯的办公套件产品对于传承民族文化具有重要意义。开源项目OpenOffice.org的不断发展和日益成熟,为蒙古文办公套件的研制开发提供了有利的契机。该文讲述了以OpenOffice.org为源代码基础,实现基于蒙古文编码国际标准而研制的蒙古文办公套件的实现方案,并为开发其他复杂文字的少数民族语言的办公套件提供了很好的借鉴作用。     

OpenOffice.org对非BMP平面字符支持的实现

Unicode标准中的非BMP平面字符多用于古籍研究或者少数民族语言文字,由于这些字符的使用面特别窄,多数软件系统包括办公软件都不支持对这些字符的处理。本文以开源办公套件OpenOffice.org为基础,分析了它对非BMP平面支持的现状,然后着重探讨了实现对非BMP平面字符的全面支持所需要解决的一系列问题,并分别给出了合理的改进方案,最后以CJK和藏文为例展示了改进后的效果。     

基于OpenOffice.org的维吾尔文办公套件的研究与实现

在分析OpenOffice.org体系结构的基础上,研究软件的国际化与本地化机制,针对维吾尔文字本地化需求进行了一系列定制与开发,形成了一套支持维吾尔文输入输出的OpenOffice.org办公套件。     

基于Lazarus的跨平台Office集成技术研究

分析了在Lazarus应用程序中跨平台集成OpenOffice组件对象的实现技术。结合具体实例,应用UNO和COM自动化技术实现了用Lazarus开发的应用软件与OpenOffice软件的各组件功能的高度整合。     

From the Office Document Format Battlefield

Recent versions of office suites are using new XML-based formats. OpenOffice.org and GoogleDocs, for example, use the Open Document Format (ODF) and Microsoft Office 2007 uses Office Open XML (OOXML). Both formats have now been accepted as international standards. This article outlines the history of the process that has left us with two functionally similar, but not fully compatible document formats.     

AuthorSupportTool – besser wissenschaftlich arbeiten

Wie unterstützt man den Schreibprozess einer wissenschaftlichen Arbeit mit modernen Textverarbeitungssystemen? Einige Antworten auf diese Frage sind im AuthorSupportTool implementiert, das eine Erweiterung für den OpenOffice.org 3 Writer darstellt. Hauptmerkmale des AuthorSupportTools sind eine Quellen- und Zitatverwaltung, eine Versionsverwaltung zur Unterstützung kooperativer Arbeit sowie ein grafischer Editor mit Mindmap-Funktion, um Themen, Notizen und Querverbindungen zu verwalten.     

The accuracy of statistical distributions in Microsoft Excel 2007

We provide an assessment of the statistical distributions in Microsoft^® Excel versions 97 through 2007 along with two competing spreadsheet programs, namely Gnumeric 1.7.11 and OpenOffice.org Calc 2.3.0. We find that the accuracy of various statistical functions in Excel 2007 range from unacceptably bad to acceptable but significantly inferior in comparison to alternative implementations. In particular, for the binomial, Poisson, inverse standard normal, inverse beta, inverse student’s t, and inverse F distributions, it is possible to obtain results with zero accurate digits as shown with numerical examples.     

OpenOffice的分析研究

介绍了OpenOffice的特点和组成，给出了编译的途径；分析了OpenOffice的技术特点和开发方法。     

Studying re-opened bugs in open source software

Bug fixing accounts for a large amount of the software maintenance resources. Generally, bugs are reported, fixed, verified and closed. However, in some cases bugs have to be re-opened. Re-opened bugs increase maintenance costs, degrade the overall user-perceived quality of the software and lead to unnecessary rework by busy practitioners. In this paper, we study and predict re-opened bugs through a case study on three large open source projects—namely Eclipse, Apache and OpenOffice. We structure our study along four dimensions: (1) the work habits dimension (e.g., the weekday on which the bug was initially closed), (2) the bug report dimension (e.g., the component in which the bug was found) (3) the bug fix dimension (e.g., the amount of time it took to perform the initial fix) and (4) the team dimension (e.g., the experience of the bug fixer). We build decision trees using the aforementioned factors that aim to predict re-opened bugs. We perform top node analysis to determine which factors are the most important indicators of whether or not a bug will be re-opened. Our study shows that the comment text and last status of the bug when it is initially closed are the most important factors related to whether or not a bug will be re-opened. Using a combination of these dimensions, we can build explainable prediction models that can achieve a precision between 52.1–78.6 % and a recall in the range of 70.5–94.1 % when predicting whether a bug will be re-opened. We find that the factors that best indicate which bugs might be re-opened vary based on the project. The comment text is the most important factor for the Eclipse and OpenOffice projects, while the last status is the most important one for Apache. These factors should be closely examined in order to reduce maintenance cost due to re-opened bugs.     

A full adder structure without cross-wiring in quantum-dot cellular automata with energy dissipation analysis

Quantum-dot cellular automata (QCA) is the appearance of new technology and can be a suitable alternative to semiconductor transistor technology. In this paper, the new structure of the two-input XOR gate is presented, which is the modified version of the three-input XOR gate. This structure can be used to design various useful QCA circuits. By utilizing this gate, we design and implement a new full adder structure with 90-degree cells. This structure is designed in a single layer without cross-wiring. The operation of the proposed structure has been verified by QCADesigner version 2.0.3 and energy dissipation investigated by QCAPro tool. We also compared the effectiveness of our structure with the two previous structures.     

基于Web的科学数据可视化在数据共享中的应用

从数据可视化处理的角度出发,对黑河流域e-Science生态-水文数据共享平台中的所有数据按其各自特点进行归类,大致分为矢量数据、栅格数据、自动气象站观测数据(AWS)、通量数据(FLUX)、普通文档数据和图片数据6种类型;然后通过比较研究,最终选择开源的WebGIS地图发布工具MapServer、基于Flash的Web图表曲线工具Amcharts、开源文档工具OpenOffice/unoconv以及数据格式转换工具SWFTools等制作对应的可视化处理模块,实现科学数据共享平台中多种类型单体数据的Web可视化和数据集的Web可视化,并完成一个实际应用系统。     

The role of interest and images in slideware presentations

With the advent of technologies that allow lecturers to develop presentations using software such as Microsoft PowerPoint, Apple Keynote, and OpenOffice Impress (referred to generically here as “slideware”), lectures and meetings are beginning to resemble cinematic experiences rather than the text filled transactions that have been the norm for the last decade. Unfortunately, there has been little research on slideware use. Furthermore, literature on this topic indicates that lectures typically do little to encourage elaborative thinking. To address this gap in the literature, we tested 90 participants who each viewed a lecture on the visual system that consisted of three different styles of presentation: (1) Image Congruent: presenting images that were relevant to the target information, (2) Image Incongruent: presenting images that were relevant to the narration but not the target information and, (3) Text Based: presenting text summaries of the narration. Throughout each of these conditions, participants provided ratings of interest and then completed a quiz to measure recognition, recall and transfer. Our results revealed that participants were more interested in the image-rich slides than bullet points, and that accuracy (but not interest) depended on whether the images were relevant to the content of the lecture or not.     

ELBlocker: Predicting blocking bugs with ensemble imbalance learning

ContextBlocking bugs are bugs that prevent other bugs from being fixed. Previous studies show that blocking bugs take approximately two to three times longer to be fixed compared to non-blocking bugs.ObjectiveThus, automatically predicting blocking bugs early on so that developers are aware of them, can help reduce the impact of or avoid blocking bugs. However, a major challenge when predicting blocking bugs is that only a small proportion of bugs are blocking bugs, i.e., there is an unequal distribution between blocking and non-blocking bugs. For example, in Eclipse and OpenOffice, only 2.8% and 3.0% bugs are blocking bugs, respectively. We refer to this as the class imbalance phenomenon.MethodIn this paper, we propose ELBlocker to identify blocking bugs given a training data. ELBlocker first randomly divides the training data into multiple disjoint sets, and for each disjoint set, it builds a classifier. Next, it combines these multiple classifiers, and automatically determines an appropriate imbalance decision boundary to differentiate blocking bugs from non-blocking bugs. With the imbalance decision boundary, a bug report will be classified to be a blocking bug when its likelihood score is larger than the decision boundary, even if its likelihood score is low.ResultsTo examine the benefits of ELBlocker, we perform experiments on 6 large open source projects – namely Freedesktop, Chromium, Mozilla, Netbeans, OpenOffice, and Eclipse containing a total of 402,962 bugs. We find that ELBlocker achieves F1 and EffectivenessRatio@20% scores of up to 0.482 and 0.831, respectively. On average across the 6 projects, ELBlocker improves the F1 and EffectivenessRatio@20% scores over the state-of-the-art method proposed by Garcia and Shihab by 14.69% and 8.99%, respectively. Statistical tests show that the improvements are significant and the effect sizes are large.ConclusionELBlocker can help deal with the class imbalance phenomenon and improve the prediction of blocking bugs. ELBlocker achieves a substantial and statistically significant improvement over the state-of-the-art methods, i.e., Garcia and Shihab’s method, SMOTE, OSS, and Bagging.     

基于FPGA的非编码RNA基因检测算法加速器研究

ncRNA(非编码RNA)是一类重要的遗传物质,它通过多种机制调控着基因的表达。由于缺少编码RNA基因所具有的典型特征,ncRNA基因的检测成为生物信息学RNA研究领域的热点问题。QRNA是目前该领域最典型使用最广泛的程序之一,但受限于O(L3)计算复杂度,传统的软件预测方法并不能满足日常研究的需要。本文基于FPGA平台实现了一种细粒度的并行ncRNA检测算法,利用CPU加FPGA的方案对QRNA程序实现细粒度并行,采用按矩阵列循环划分的任务分配策略实现处理单元间的负载平衡;采用数据预取、滑动窗口和数据传递流水线实现处理单元间的数据重用,减少片外访存开销。在单片FPGA上集成了由8个处理单元构成的计算阵列。实验结果表明,与运行在AMD四核9650处理器上的QRNA-2.0.3c程序相比,可获得超过18倍的加速效果,并且FPGA加速器功耗仅为通用微处理器平均功耗的20%。