基于Notes/Domino的电视台新闻编审系统设计及实现

介绍了基于Notes/Domino的工作流软件设计方法及茯在电视台新闻审系统中的应用，并分析了该系统实现的DECS，Notes SQL,LSX等关键设计技术。     

Symantec加固Notes防护

日前,Symantec公司在京发布针对LotusNotes/Domino系统的防病毒软件NortonAntiVirus for Lotus Notes简体中文版,为以Lotus Notes/Domino系统为中央联络系统平台的用户提供了一个坚固的病毒防护盾,以确保整个系统安全通畅运作。除防毒功能强大外,该产品的所有操作都在Notes模式下进行,操作界面为Notes界面,因此用户无需学习新的界面操作就可轻易掌握各项功能,从而大大降低了培     

办公自动化系统数据库的集成及安全设置

大庆油田有限责任公司办公系统采用Lotus Notes群件系统实现，本文探讨了该类型数据库与其它类型数据库的集成，及LotusNotes数据库的安全设置。     

基于Lotus Notes的责任保险业务系统

保险是一个复杂的过程，然而，目前面向保险特别是保险经纪人开发的应用软件少之又少。本文描述一个基于Lotus Notes的责任保险业务系统的设计与实现，系统的主要功能是按照保险经纪人的业务需求，保险业务流程对整个保险过程涉及的主要文档资料进行管理，以及协助保险经纪人风险分析并自动生成要保通知书，系统实现的关键在于对保险业务流程的深刻理解，利用Lotus Notes技术实现该流程的自动化，以及风险分析算法的设计与实现。     

基于Lotus Domino/Notes平台的电子公文审批系统

文中以一个基于Lotus Domino／Notes平台的电子公文审批系统的设计开发为例，结合系统的实际需求．设计系统的总体结构方案和功能模块。通过系统结构、程序结构的设计和开发．构建了一个基于Lotus Domino／Notes平台，以LoutsScript技术、Notes文档数据库和Oraclo8i数据库为基础的、实现公文文件从起草、修改、审核到审批签发全部流转过程的、具备高效、全面、安全、易用等特点的电子公文审批系统。     

IBM Lotus Notes/Domino技术在办公自动化系统中的应用

IBM Lotus Notes／Domino是一个集通讯、协同计算和Internet／Intranet技术于一身的综合平台,具有优秀的工作流控制机制、数据库复制技术和完善可靠的安全机制,适合于处理各种非结构化与半结构化的文档数据、建立工作流应用以及建立各类基于Web的应用。该办公自动化系统基于IBM Lotus Notes／Domino平台实现了信息发布与检索、公文流转、个人事务管理、系统管理等方面的内容。随着IBMLotus Notes／Domino版本的不断升级,越来越多的新技术融入到Notes／Domino系统中,这些都将在办公自动化领域为IBM Lotus Notes／Domino创造更为广阔的应用前景。     

基于Lotus Domino/Notes的OAS的开发研究

本文介绍了基于Lotus Domino/Notes的办公自动化系统的设计思想、体系结构、功能模块，并就Notes应用中访问关系型数据库系统的方法进行了探讨。     

Lotus Notes用户验证字过期的解决方法

首先，对辽宁省气象局的电子邮件系统进行了简单的介绍，然后，从电子邮件系统的安全机制方面，提出了该系统使用过程中出现的用户验证字过期的问题．最后针对不同情况给出了几种处理Notes用户验证字过期问题的方法。着重分析了几种处理Notes用户验证字过期方法的异同点．以及根据实际情况推荐选用的方法。     

基于Lotus Notes的办公自动化系统中代理的运用

本文介绍了Lotus Notes中的代理，着重讲述了在开发基于Lotus Notes的办公自动化系统时如何运用代理来实现系统的某些功能，诸如待办公文的提示，公文的收回和防止公文的重复发送等，采用代理可以节约我们大量的开发时间和精力而且应用效果很好。     

Notes文档数据库的导出系统设计

Notes文档数据库导出系统的设计过程,以及在Notes系统中使用API扩展应用程序功能的方法。     

基于物联网的变电站安全作业系统

为加强对变电站巡检工作的规范性和安全性的监督,设计了基于物联网技术的变电站安全作业系统,主要给出了现场采集系统中的设备选择方案、安装注意事项、所用的定位算法及具体实施方案.系统定位工作人员的当前所处区域,对其所处位置、巡视路线进行跟踪,对误入工区、漏巡等行为进行监测和管理.     

Voluntary use of online lecture notes: correlates of note use and note use as an alternative to class attendance

Note taking and note reviewing are essential college student learning activities. A large number of carefully controlled studies have evaluated student effectiveness in implementing each of these skills and have found that both can be improved by providing instructor notes. While the Internet now offers a practical method for providing notes, some instructors are reluctant to offer notes because they fear that students will use these notes as an alternative to class attendance. This study used data collected by the server and questionnaires to describe voluntary use of online lecture notes, to search for correlates of individual patterns of note use, and to investigate student use of notes as an alternative to class attendance. Students primarily printed notes and used these notes during class presentations. There was some evidence that note users performed better on examinations than students who did not use notes. Some students did admit to using notes as an alternative to class attendance, but a comparison between the examination scores of those who admitted to this practice and those who claimed never to use notes for this purpose showed no significant differences in performance.     

An empirical study of software release notes

Release notes are an important source of information about a new software release. Such notes contain information regarding what is new, changed, and/or got fixed in a release. Despite the importance of release notes, they are rarely explored in the research literature. Little is known about the contained information, e.g., contents and structure, in release notes. To better understand the types of contained information in release notes, we manually analyzed 85 release notes across 15 different software systems. In our manual analysis, we identify six different types of information (e.g., caveats and addressed issues) that are contained in release notes. Addressed issues refer to new features, bugs, and improvements that were integrated in that particular release. We observe that most release notes list only a selected number of addressed issues (i.e., 6-26 % of all addressed issues in a release). We investigated nine different factors (e.g., issue priority and type) to better understand the likelihood of an issue being listed in release notes. The investigation is conducted on eight release notes of three software systems using four machine learning techniques. Results show that certain factors, e.g., issue type, have higher influence on the likelihood of an issue to be listed in release notes. We use machine learning techniques to automatically suggest the issues to be listed in release notes. Our results show that issues listed in all release notes can be automatically determined with an average precision of 84 % and an average recall of 90 %. To train and build the classification models, we also explored three scenarios: (a) having the user label some issues for a release and automatically suggest the remaining issues for that particular release, (b) using the previous release notes for the same software system, and (c) using prior releases for the current software system and the rest of the studied software systems. Our results show that the content of release notes vary between software systems and across the versions of the same software system. Nevertheless, automated techniques can provide reasonable support to the writers of such notes with little training data. Our study provides developers with empirically-supported advice about release notes instead of simply relying on adhoc advice from on-line inquiries.     

Facilitating collaboration in lecture‐based learning through shared notes using wireless technologies

This paper reports a case study for developing lecture teaching in higher education by connecting simultaneously the benefits of face‐to‐face teaching and social software for capturing and sharing students' lecture notes. The study was conducted with 12 university students taking a degree course on pre‐primary education. Data were collected on (1) the nature of the shared lecture notes produced by the students; and (2) their experiences in creating and sharing lecture notes. Students wrote 367 notes in eight lecture sessions. Discourse analysis revealed five types of notes: reproducing lecture content; summarizing lecture content; connecting key concepts; developing lecture content; questions arising from lecture content. Content analysis revealed those aspects of the lectures developed through the shared notes. Discussions with four students at the end of the course explored their experiences of using the shared notes. The results are discussed in the context of changes to the cultural ecology of learning.     

纸质传感器在点伪钞机中的应用

对点伪钞机识别假币的关键器件─纸质传感器（近紫外线传感器）进行了研究，有效地解决了识别假币的三个关键问题，即传感器的响应速度、灵敏度及温漂问题，提高了点伪钞机识别假币的准确性。     

Narrative electronic patient records as source of discharge diagnoses

OBJECTIVE: To evaluate the consistency of diagnostic data extracted from narrative electronic patient record (EPR) notes compared with the data from a patient administrative system (PAS). To assess potential benefit of using EPR notes as source of diagnosis data and as basis for case identification. DESIGN: Construction of a computer algorithm to extract ICD-9 codes from narrative EPR notes. Assessment of consistency and reliability of the diagnostic codes retrieved from EPR notes and PAS. Estimation of efficiency of case identification based on data from PAS and EPR. RESULTS: Diagnosis codes were retrieved from PAS with sensitivity of 0.989 and the positive predictive value (PPV) was 0.993. Codes were retrieved from EPR with sensitivity of 0.908 and PPV of 0.990. Combining these two sources increased sensitivity to 0.999. CONCLUSION: Discharge diagnoses were easily extracted from narrative EPR notes by automatic methods. Information extracted from record notes was not significantly different from the corresponding data in PAS, but EPR was incomplete as compared with PAS. Utilizing data extracted from EPR improved case identification significantly.     

LESSON: A system for lecture notes searching and sharing over Internet

In this paper, we present a system LESSON for lecture notes searching and sharing, which is dedicated to both instructors and students for effectively supporting their Web-based teaching and learning activities. The LESSON system employs a metasearch engine for lecture notes searching from Web and a peer-to-peer (P2P) overlay network for lecture notes sharing among the users. A metasearch engine provides an unified access to multiple existing component search engines and has better performance than general-purpose search engines. With the help of a P2P overlay network, all computers used by instructors and students can be connected into a virtual society over the Internet and communicate directly with each other for lecture notes sharing, without any centralized server and manipulation. In order to merge results from multiple component search engines into a single ranked list, we design the RSF strategy that takes rank, similarity and features of lecture notes into account. To implement query routing decision for effectively supporting lecture notes sharing, we propose a novel query routing mechanism. Experimental results indicate that the LESSON system has better performance in lecture notes searching from Web than some popular general-purpose search engines and some existing metasearch schemes; while processing queries within the system, it outperforms some typical routing methods. Concretely, it can achieve relatively high query hit rate with low bandwidth consumption in different types of network topologies.     

区域特征的乐谱识别系统

在分析乐谱的基础上，本文提出了区域特征的乐符识别方法，并实现了乐谱识别系统．乐谱用扫描仪输入，经过预处理、去除噪音、确定谱线位置、测定线宽、删除谱线等先期处理后，切分出各种乐符，用区域特性和乐符属性对乐符进行识别，系统还实现了乐谱计算机识别之后的自动演奏．     

A novel method to musicalize shape and visualize music and a novel technique in music cryptography

Since many years ago, musicians have composed music based on the images that they have had in their minds. On the other hand, music affects people’s imagination while hearing it. This research provides a method that can transform shape to music and music to shape. This method defines musical notations for horizontal, diagonal and vertical line segments, filled circle and curve with different colors, which are the basis of many shapes in transforming shapes into music. Then these primary mappings are generalized to more complex forms to transform any shape. Moreover, music can be transformed into shape by this method. For this transformation, primary musical notations such as simple notes, notes joined by a legato, notes with a staccato, notes joined by a legato and have crescendo or decrescendo and notes with an accent or a trill are defined. These primary musical notations are generalized to more complex forms to transform any music into shape. Also, the method of this research can be used in music cryptography. It employs mapping of notes in a twelve-tone equal musical system into shapes and mappings of shapes with an equal line width and different colors into music.

     

The relationship between class size and online activity patterns in asynchronous computer conferencing environments

This study analyzes the relationship between class size and student online activity patterns in a series of 28 graduate level computer conferencing courses. Quantitative analyses of note production, average note size, note opening and note reading percentages found a significant positive correlation between class size and mean number of notes generated. Significant negative correlations were found between class size and average note size and between class size and percent of notes opened. Analyses of average reading speeds among large classes and small classes revealed that students in large classes were more likely to scan lengthy notes (i.e., notes that contain more than 350 words). Possible explanations for these results are discussed.