高级用例建模在悬挂物管理系统中的应用

悬挂物管理系统（SMS）的管理对象具有复杂性、其交互信息存在多样性。针对该问题,将高级用例建模应用到悬挂物管理系统的需求分析中,建立系统的用例模型。遵循高级用例建模过程框架,介绍高级用例建模的具体实现过程,给出SMS的部分用例图。该用例模型能有效捕获系统的功能需求。     

基于Linux3S的土地基础信息采集技术

针对现有土地基础信息获取手段存在的一些缺陷,提出基于Lin“平台的、结合3S技术的土地基础信息采集方法。采用以Linux平台为核心,设计具有自主知识产权的嵌入式GIS模块,为适应在掌上电脑中使用,提出四叉树——双缓冲存取模式,以提高电子地图显示速度,利用四叉树分割法,实现大型底图显示,集成上层土地管理软件,实现土地基础数据采集。该技术在示范应用中实现取得良好效果,证明了该技术的有效性。     

Going Beyond Telecenters to Foster the Digital Inclusion of Older People in Brazil: Lessons Learned from a Rapid Ethnographical Study

Telecenters take on a prominent role within the current information and communications technology (ICT) ecosystem in Brazil. They are seen by a great many as a key means to foster the digital inclusion of the older population in the country. This paper draws upon a rapid ethnographic study conducted with 78 older people in a center that teaches computer classes to seniors in Brazil. The results show that providing older people with technological infrastructures is not enough to strengthen their digital inclusion if their basic and non-instrumental needs are not taken into consideration in defining educational activities to be carried out in public centers. Participants’ basic needs when it comes to interacting with ICT, such as coping with accessibility issues, were dynamic, whilst non-instrumental needs, fulfilled by using these technologies, such as interacting with relevant others, remained fairly constant throughout the study. Drawing on the results of the study, strategies for fostering the digital inclusion and well-being of older people in Brazil that go beyond telecenters are suggested.     

Unfriend or ignore tweets?: A time series analysis on Japanese Twitter users suffering from information overload

In recent years, with increased opportunities to post content on social media, a number of users are experiencing information overload in relation to social media use. This study addresses how Japanese Twitter users suffering from information overload cope with their stress, focusing on two actions: (1) The “unfriending” activities and (2) The changes in tweet processing methods. Objective data, such as numbers of friends, were collected through Twitter's open Application Programming Interfaces (APIs), and subjective data, such as perceived information overload and tweet processing methods, were collected through a web-based survey as a panel dataset (n = 778). The results demonstrated that although users experience information overload, they continue to increase their number of friends, and that the users who experience information overload modify their usage habits to avoid seeing all received tweets. In short, users do not choose a strategy to reduce the absolute number of received tweets, but only a strategy that involves changing the processing method of the received tweets.     

Behavioral Analysis of E-commerce Acceptance in Micro-enterprises简

E-commerce present opportunities and challenges for businesses, especially for micro-enterprises. This paper proposed a theoretical framework that in line with the unique characteristics of E-commerce acceptance in micro-enterprises in Chengdu, which is based on the unified theory of acceptance and use of technology （UTAUT） model. The extending UTAUT model includes key constructs of performance expectation, perceived behavioral control and the characteristics of owner-managers.     

公共生活用水特性研究——以北京市科研行业为例

以北京市科研行业为切入点,采用社会调查结合计量分析的研究思路尝试探讨公共生活用水特性,研究其用水结构的复杂性、日常运行的无序性和用水影响因素的显著性。发现科研行业用水包括办公楼、食堂、供冷供暖、绿化等办公用水和各类实验用水。分析了科研行业用水日常运行中在基础设施和用水管理方面的低效。选择表征规模的建筑面积变量、由人工赋值得到的定量管理水平变量以及简单反映科研单位类别的实验哑变量建立科研行业用水影响因素计量模型,发现三者均显著影响科研行业用水量。该结果预示着规模、管理水平、特定用水结构可能是公共生活用水的主要影响因素。     

基于学习分类器的自主地面车在狭隘环境中的路径规划

提出了一种基于学习分类器(LCS)的避碰路径规划方法,设计了集成适应度函数,在确保安全避碰的前提下,解决自主地面车(ALV)在狭隘环境下的路径优化问题.不同环境的仿真实验结果表明,遗传算法和学习分类器结合用于自主地面车的路径规划是收敛的,提高了ALV在狭隘环境中快速发现安全路径的能力.     

基于软件需求分析方法的机械产品需求建模研究

通过对软件与机械产品的需求进行比较,说明了将软件需求分析方法应用于机械产品的需求分析建模的可行性,同时通过对OOSE的用例图方法进行详细分析与扩展以实现这一目标。这种机械产品需求建模方法具有系统化、表达方式直观简洁、支持全生命周期后续各阶段等特点,并为全生命周期的产品模型集成打下良好的基础。     

What do web users do? An empirical analysis of web use

This paper provides an empirical characterization of user actions at the web browser. The study is based on an analysis of 4 months of logged client-side data that describes user actions with recent versions of Netscape Navigator. In particular, the logged data allow us to determine the title, URL and time of each page visit, how often they visited each page, how long they spent at each page, the growth and content of bookmark collections, as well as a variety of other aspects of user interaction with the web. The results update and extend prior empirical characterizations of web use. Among the results we show that web page revisitation is a much more prevalent activity than previously reported (approximately 81% of pages have been previously visited by the user), that most pages are visited for a surprisingly short period of time, that users maintain large (and possibly overwhelming) bookmark collections, and that there is a marked lack of commonality in the pages visited by different users. These results have implications for a wide range of web-based tools including the interface features provided by web browsers, the design of caching proxy servers, and the design of efficient web sites.