基于Android的智能生日提醒软件的设计与实现

针对目前大部分提醒软件功能单一,用户体验一般的特点,设计了一款智能生日提醒软件,将Android通信、拍照、媒体播放等自带功能融入其中,使软件具有很好的实用性,另外采用Android的传感器技术,实现了"摇一摇"自动发送短信功能,增强用户体验。测试结果表明这款软件能从多方面来满足用户的不同需求,真正做到操作方便,功能实用,用户体验好。     

运营业重心向流量转移:虚拟运营门槛抬高

流量业务正逐步取代语音、短信等传统业务成为运营商新的现金奶牛。日本最大运营商NTTDoCoMo近日推通话费包月反击OTT。无独有偶,在欧洲,运营商逐步放开传统支柱收入,挪威运营商Telenor推出包含免费语音和短信的套餐。在国内,微信等OTT应用给运营商话音短信业务带来了冲击,纯流量包、定向流量包、积木套餐等新形态套餐应运而生。种种迹象表明,全球运营商的套餐变革开始将业务重心从话音、短信转向流量。当下,国内虚拟运营商开闸,话音、短信业务日渐沦为鸡肋给虚     

短信提醒的设计以及客户端的实现

基于TCP/IP的网络通信技术实现了面向连接的用户与服务器间通信的功能，在网络编程中最常用的方案便是客户机服务器模型，在本案例中利用客户端编辑提醒短信，通过网络提交给短信服务器，在短信规定的时间，提醒短信通过短信网关发送给用户。     

突破QQ邮箱短信提醒数量限制

最近QQ邮箱推出了一个邮箱免费短信提醒的小功能,用户可以设定重要邮件发送到自己的QQ邮箱中时,手机短信提醒。不过比较遗憾的是,普通QQ用户只能每月免费发送20条。能否想办法突破QQ邮箱短信提醒的数量限制呢?其实利用QQ邮箱的自动转     

基于Delphi的网站综合客户端软件设计

使用JSP+Servelet设计网站,并利用Delphi技术为网站设计综合客户端软件,通过集成IE浏览器,将网站的功能集成到客户端中,使用户无需专门打开浏览器输入网址及登录网站就可以完成网站上的全部功能,使用户开机后直接进入一个集文字、图片、动画、电影、音乐等多媒体于一身的多用户协同工作的富媒体信息发布、浏览及协同办公平台,并实现了网站新闻消息推送和及时提醒、内外网电子邮件提醒、本地记事提醒、智能备份、带组织结构的实名即时通信、视频点播及常用登录功能.     

不让QQ提醒功能骚扰你

正不少用户都会使用QQ的提醒功能来管理自己的时间和行程,并且此项功能还方便聊天群内小伙伴发起事项提醒。想要实现提醒功能也很简单,我们只需在QQ中切换至"联系人"面板,再选择"生活服务",在新窗口可发现名为"提醒"的公众号,点击屏幕底部的"提醒自己"(如图1),就可直接创建提醒。你在QQ中创建或接受的提醒,都会通过这个账号发送给你。     

发送重要邮件提醒、跟踪并举

免费短信提醒 如果使用的是网易邮箱,在发送邮件之后,可以免费向对方发送一条手机短信,提醒对方查看. 以网易163邮箱为例,写好邮件后,勾选"紧急",将自动勾选"免费短信通知",然后单击"发送"(如图1),弹出"温馨提示"窗口,单击"添加手机"处,输入对方的手机号码,最后单击"发送邮件和短信",这样在邮件发送之后,将会向对方的手机发送一条短信,告诉对方的×××邮箱会收到信件,提醒对方及时打开邮箱查看.     

一种基于腾讯通、微信和短信的多通道企业消息集成发送平台

笔者综合分析了企业在日常应用系统使用过程产生的提醒消息、目前使用较广泛的提醒消息发送方式以及企业员工、客户和供应商接收消息的环境,从便宜性、接受度、等角度提出了一种基于腾讯通(RTX)、微信、短信的企业消息提醒集成发送平台,旨在打通企业消息与员工、客户和供应商之间的"最后一公里",实现消息的全面通知,提高企业运转效率。     

基于ICE技术的漏话提醒业务系统

漏话提醒业务是电信运营商提供的一项增值业务,主要以短信作为服务形式。随着移动用户的快速发展,漏话短信下行量日渐增长,如何快速处理短信下行的请求,是摆在系统设计者面前的一个难题。本文介绍了新一代面向对象的中间件ICE的基本功能及体系结构,及其在漏话提醒业务短信子系统中的设计与实现。     

Qmail短信提醒

在EDI电子报文流转的过程中,及时准确地接收和处理报文对港口生产来说至关重要。为了方便EDI用户及时得到新邮件的到达提醒、收取和处理报文邮件,本文介绍了在Linux Qmail环境下,采用C语言和Java语言,实现新邮件到达时向用户发送短信提醒的过程。此方案在连云港港口EDI中心得到了实际应用,取得了良好的效果。     

City on the Sky: Extending XACML for Flexible, Secure Data Sharing on the Cloud

Sharing data from various sources and of diverse kinds, and fusing them together for sophisticated analytics and mash-up applications are emerging trends, and are prerequisites for realizing grand visions such as that of cyber-physical systems enabled smart cities. Cloud infrastructure can enable such data sharing both because it can scale easily to an arbitrary volume of data and computation needs on demand, as well as because of natural collocation of diverse such data sets within the infrastructure. However, in order to convince data owners that their data are well protected while being shared among cloud users, the cloud platform needs to provide flexible mechanisms for the users to express the constraints (access rules) subject to which the data should be shared, and likewise, enforce them effectively. We study a comprehensive set of practical scenarios where data sharing needs to be enforced by methods such as aggregation, windowed frame, value constrains, etc., and observe that existing basic access control mechanisms do not provide adequate flexibility to support effective data sharing in a secure and controlled manner. In this paper, we thus propose a framework for cloud that extends popular XACML model significantly by integrating flexible access control decisions and data access in a seamless fashion. We have prototyped the framework and deployed it on commercial cloud environment for experimental runs to test the efficacy of our approach and evaluate the performance of the implemented prototype.     

数据共享平台的数据访问及其在Android终端的呈现

实现数据共享,可以使更多的人更充分地利用已有数据资源,创造新的价值. CKAN(Comprehensive Knowledge Archive Network)是世界领先的开源数据平台,对收集的数据实现管理和共享.本文实现了一款基于Android开发的CKAN APP,以便用户可以随时随地查看CKAN平台上的共享数据.本文主要是运用Android客户端的开发技术,通过CKAN的API来访问CKAN平台的数据资源,然后将访问到的数据资源转化为合适的格式存储起来,最终将数据在Android终端呈现出来.测试结果表明:本文开发的CKAN APP,为用户随时随地查看CKAN平台的共享数据提供了一个可用的APP工具.     

一种面向公有云的密文共享方案

针对已有的密文共享方案存在客户端计算量过大、用户管理密钥过多、不支持个人共享等问题,将公有云引入到密文共享方案的设计之中,提出一种面向公有云的安全文件共享框架.基于该框架设计了一种面向公有云的密文共享方案.该方案将绝大多数计算和存储都外包给公有云,用户只需保存两个空间占用很小的私钥子项且客户端只需进行少量计算即可完成共享文件的解密.安全分析结果表明,该方案不仅能够对抗恶意用户的合谋攻击,而且在一般群模型和随机预言模型下能够对抗选择明文攻击.     

Development and evaluation of an ergonomic software package for predicting multiple-task human performance and mental workload in human–machine interface design and evaluation

Predicting human performance and mental workload in multiple task situations at an early stage of system design can save a significant amount of time and cost. However, existing modeling tools either can only predict human performance or require users of tools to learn a new programming language. Queueing Network-Model Human Processor (QN-MHP) is a new cognitive architecture for modeling both human performance and mental workload in multiple tasks. This paper describes the development of a Visual Basic Application in Excel (VBA) software package and an illustrative case study to evaluate its effectiveness. The software package has an easy-to-use user interface for QN-MHP that assists users of the modeling tool to simulate a dual task including definition of the tasks and interfaces by clicking buttons to select options and filling texts in a table, with no need to learn a simulation language. It allows the model user to intuitively observe the information processing state of the model during simulation, and conveniently compare the simulated human performance and mental workload for different designs. The illustrative case study showed that naïve users without prior simulation language programming experience can model human performance and mental workload in a complex multitask situation within 3 min; and this software package can save 71% of modeling time and reduce 30% of modeling errors. Further developments of the VBA software package of QN-MHP are also discussed on how to make it a comprehensive proactive ergonomic design and analysis tool.     

Ontology-based data mining model management for self-service knowledge discovery

Data mining (DM) models are knowledge-intensive information products that enable knowledge creation and discovery. As large volume of data is generated with high velocity from a variety of sources, there is a pressing need to place DM model selection and self-service knowledge discovery in the hands of the business users. However, existing knowledge discovery and data mining (KDDM) approaches do not sufficiently address key elements of data mining model management (DMMM) such as model sharing, selection and reuse. Furthermore, they are mainly from a knowledge engineer’s perspective, while the business requirements from business users are often lost. To bridge these semantic gaps, we propose an ontology-based DMMM approach for self-service model selection and knowledge discovery. We develop a DM³ ontology to translate the business requirements into model selection criteria and measurements, provide a detailed deployment architecture for its integration within an organization’s KDDM application, and use the example of a student loan company to demonstrate the utility of the DM^3.     

Sharing with people: a system for user-centric content sharing

In this paper, we present the existing content sharing paradigms along with some advanced sharing use cases that are not feasible with the existing technologies. For satisfying these use cases, we propose a new system that allows content sharing in a totally user-centric manner, meaning that users can select the people they want to share their content with and just let the system handle all the lower level device, network bearer and content transfer technologies, which best fit each sharing occasion. The system feasibility is proved in two dimensions, firstly by a technical prototype implementation in a laboratory environment, and secondly via usability studies with non-expert users, for gathering their input and feedback on the interface and preferred interaction with such a system.     

基于数据库驱动认知无线电网络的位置隐私保护方案

动态频谱共享能够解决由于互联无线设备快速增长导致的频谱资源短缺问题,但用户需要向数据库提交位置信息来查询频谱的可用性,造成用户的隐私泄露,而多数位置信息保护方案较少同时考虑对主要用户（PU）和二级用户（SU）的位置隐私保护。提出一种基于盲签名和秘密共享的数据库驱动认知无线电网络隐私保护方案。通过对PU和SU的双重隐私保护,使用盲签名和匿名来确保匿名验证用户身份,同时运用秘密共享避免泄露用户信息。仿真结果表明,与PeDSS和LP-Goldberg等方案相比,该方案具有较好的评估性能和更高的安全性,能够更好地应用于移动环境中。     

基于用户协作的新闻共享模型

如何从互联网已有海量信息中为用户推荐符合其兴趣的新闻是一项极具挑战的工作。门户网站式的传统新闻传播方法没有考虑用户的个性化需求,因而无法给出合适的推荐。本文提出了一种基于用户协作的新闻共享模型,通过浏览器插件收集用户的浏览行为、分析用户对网页的隐性评价,并结合协同过滤算法实现相似用户间的新闻推荐。在原型系统中验证了本文所提方法的有效性,并分析了推荐算法的性能。     

多用户通信机制中支持隐私保护的属性基动态广播加密

云计算和物联网的快速发展使多用户信息共享机制备受关注,然而当用户将个人数据上传到云服务器与不同用户共享时,未经授权的用户和不可信的第三方云服务提供商会窥探这些隐私数据,对数据安全和用户隐私构成严重威胁。此外,多用户共享机制还存在访问控制不灵活、用户撤销和动态管理等问题。为了解决这些问题,文章结合属性基加密与广播加密技术提出一种动态广播加密机制。该方案在保证数据安全的同时,利用不经意传输协议,实现了接收者的匿名,保护了用户隐私。此外,该方案还支持新用户随时动态加入系统,且不影响原用户在系统中的解密能力,并实现了用户撤销和快速解密。性能分析表明,该方案较已有方案在安全性和效率方面有明显优势。