基于Android的信息交流平台主要技术的研究

3G、4G通讯时代的到来,导致互联网技术与无线通讯技术的高速发展。基于Android的平台设计,把相关通讯技术和一些教学管理知识应用到教育事业中,设计出一个基于Android的校园信息交流系统,该平台需具有登陆管理、信息查询、信息发布、信息交流、信息录入、信息共享等功能模块。本文章在对Android平台研究分析之后,对Android应用于高校信息交流平台关键技术做了一些研究。     

Android移动应用检测研究

随着Android操作系统在智能设备上的广泛应用,Android应用的安全性检测成为了当前关注的重点。为了从Android应用程序中检测出恶意软件,研究Android应用静态分析技术、动态分析技术及基于机器学习的Android应用检测技术。提出一个通用的恶意软件检测框架。该框架通过逆向工程从Android应用中提取(安全应用、受感染应用)特征信息并建立关键信息特征库。通过机器学习建立检测模型,采用分类检测技术完成检测。通过该检测框架,可在软件安装前执行应用安全评估,其检测正确率高,并具有良好的扩展性,为Android应用的安全性检测提供参考。     

基于Android的产品追溯系统

随着Android在智能手机以及平板产品中的爆炸式的普及,基于Android的各种应用如雨后春笋般冒了出来。应用的完善,使得基于Android的各种二次开发的应用也产生了可能。本文提供了一种基于Android与服务器的C/S模式的产品追溯系统,使得用户或者企业管理人员可以通过Android终端对产品的信息进行实时的追溯、反馈。     

Android手机应用开发之信息平台移动客户端

从开发者的角度对Android手机平台下,信息平台移动客户端较为流行的应用进行了全面的功能分析,并结合Android平台的相关技术和应用模式,通过实机案例,详细地介绍了该类应用的开发过程。可用于指导Android开发者了解信息平台移动客户端应用的开发模式和实现技巧。     

基于Android的远程医疗监测系统设计

为满足人们对于远程医疗的需求,推出了一个应用Android移动终端的解决方案。该方案结合Android系统的特点,设计了一套采集、显示存储、报警推送于一体的远程医疗监测系统。首先对Android框架与系统架构进行介绍,然后对系统涉及到的Android系统蓝牙、Socket等通信方式的开发进行分析,并对Android设备在数据采集、存储、处理中的应用进行介绍,最后应用MQTT协议完成了对报警信息的推送。结果表明Android系统在远程医疗服务系统中有很大的应用前景。     

Android系统服务信息分层获取方法

获取Android系统服务关键信息有利于实现对Android系统的漏洞挖掘和安全评估。为解决当前系统服务关键信息获取方法存在系统源码依赖度高、兼容性差导致的信息获取不全面的问题,提出一种Android系统服务信息分层获取方法。该方法通过在Android系统的应用层、框架层和内核层分别建立完整的Binder通信行为监控视图,解析服务依赖关系、服务进程信息与接口参数规范,在不依赖源码的前提下实现系统服务关键信息的自动化获取。在多个Android设备中进行系统服务关键信息获取实验,结果表明该方法能全面地获取多项系统服务关键信息,具备更强的实用性。     

Android平台消息推送技术的应用研究

消息推送技术在当前移动互联网领域智能终端的应用非常广泛,如手机上的新闻客户端通过推送新的消息,使用户方便获知最新的新闻信息。本文介绍Android实现推送方式和基于XMPP协议的开源信息推送框架Android Pn的相关知识,并结合一个Android校园应用消息推送案例讨论相关的技术实现。     

基于Android的有线电话CID功能

Android是一个基于Linux内核的操作系统,被广泛用于移动及其他设备,而在有线电话功能上的开发尚显不足.本文通过对来电显示电路、Android系统内核驱动、JNI层调用以及其消息驱动机制Looper与Handler的分析和运用,将Android平台与有线电话来电显示(Calling Identity Delivery)结合起来,实现了一个在Android应用中显示来电信息的系统,并在实际系统中进行测试.测试结果表明Android能够完成有线电话信息的接收和处理,实现来电显示功能,丰富了安卓系统的功能和应用.     

基于Android的公共自行车查询系统设计与实现

为方便智能手机用户获取公共自行车站点信息,设计并实现了基于Android平台的公共自行车查询系统。介绍了Android平台上JSON格式数据的存取、XML文件解析、UI与多线程等技术,以及百度地图Android SDK的具体应用。     

基于Android网络恶意行为检测系统的应用研究

目前,Android系统是当今网络用户最对的应用系统之一,而随着科学技术的发展,对于Android系统的恶意行为软件也逐渐增多,给当前的应用用户的财产以及私人信息安全带来了很大的威胁,严重的迟缓了当前移动通信网络技术以及相关于应用客户端的推广;为此,根据Android系统的特有机构设计出一种基于Binder信息流的自动检测恶意行为系统,以此来解决对于当前网络安全对于Android系统用户带来的负面影响;根据目前网络中的应用通信信息,检测可能存在的泄露用户信息的应用软件为目标,建立信息矢量图以此来分析当前网络中的恶意行为;通过对软件进行检测,研究可实用性和检测效果,结果显示其识别率可以达到100%,并且软件运行只占有内存的7%,结果可以达到当前的Android用户的使用范围。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.