安卓应用用户界面交互模式抽取与检索

安卓开发者需要通过不断地经验积累来提升其设计安卓界面及行为交互的能力.在数据驱动的软件开发中,代码推荐是其中一个关注热点.在此背景下,本文提出了一种安卓应用界面交互模式抽取与检索方法,提供面向安卓应用的界面相关代码查询与推荐能力,从而降低开发者在选择、试用、学习安卓应用所带来的人工成本.以安卓活动（Activity）为单元的界面交互模式代表了活动的界面构成及交互行为.本方法以此为分析目标,从一组开源的安卓应用项目中抽取出每一个活动的界面交互模式.在此基础上,支持用户通过检索的方式获取与其需求相关的活动设计细节.该方法被实现为一组工具链,为抽取与检索提供自动化支持.最后,通过两个案例对本方法的准确性与有效性进行验证.     

动态调度系统中自适应用户界面的设计与实现

该文以炼化企业的动态调度系统为应用背景，以面向动态调度的自适应用户界面的设计与实现为主要研究内容，分析了当前炼化企业动态调度系统用户操作的流程以及界面的需求并建立起相应的数学模型。借鉴自适应用户界面的相关研究成果，设计了自适应用户界面的体系结构以及用户的动态行为过程，针对流程行业的应用特点提出了利用产生式推理和基于上下文的用户意图捕捉的方法，最后给出应用实例。文中所述方法已经成功在企业中得到应用。使用结果表明，该方法能够有效地开发动态调度系统的自适应用户界面，获得满意效果。     

基于web的用户自适应关系模型的设计及应用

Web开发过程中,固定的数据库关系模型设计往往难以满足数据库应用系统中多变的用户需求。本文提出一种用户自适应关系模型,利用主、从两个静态关系表来实现数据库动态表结构,主表用于存储用户自定义关系表信息,从表则用于存储所有用户自定义数据。利用该关系模型设计的数据库应用系统中,用户仅通过Web浏览器即可自定义数据类型和动态管理数据,从而在一定程度上实现了用户需求变化的自适应。以烟草业的数据共享平台为例,说明了模型的使用方法,实际应用结果表明该模型显著提高了数据库应用系统的用户适应性,改善了Web站点的性能。     

面向异构多处理器设备的自适应命令解释系统

智能化赋予了物联网更深刻的实用价值,但是在计算能力强与功耗低的之间寻求性能最优是目前物联网设备极难解决的问题.异构多处理器结构与单一或者同构的多处理器相比可以结合不同处理器的优势,同时满足高计算能力与低功耗的系统需求,但异构多处理器结构下软件编程难度大的问题以及如何优化顶层应用在多处理器设备上的运行性能都是目前亟待解决的技术难题.针对以上问题,设计并实现了一个面向异构多处理器设备的自适应命令解释系统.首先,该系统允许用户将物联网应用安装到设备上,应用程序以命令脚本形式呈现;其次,系统设计了命令在异构多处理器设备上的自动分发算法,该算法考虑性能和功耗的多维参数,在满足时间上限的条件下最优化应用执行能耗.最后,提出了针对同时满足不同用户应用需求的解决方案,在物联网设备的资源受限的条件下,根据具体用户使用习惯,提出了一种基于用户使用历史的命令解释系统自适应方案,可以根据用户个性化习惯自动完成命令解释系统的自适应部署和运行时优化.     

面向场景的安卓应用代码定位方法

在开发新的需求功能或维护已有代码的过程中,安卓应用开发者会尝试获取与特定主题功能相对应的代码片段并了解其逻辑结构。当涉及代码层次上的分析工作时,复杂的源代码结构以及开发者不良的代码风格将会导致开发者需要花费大量的时间去定位代码片段并理清实现逻辑。因此,找出一种能够快速定位到代码片段的方法对于开发者具有重要的实际意义。提出了一种面向场景的安卓应用代码定位方法,其目标是根据特定主题功能的执行场景,综合运用动态与静态相结合的分析技术来确定与该主题功能相关的代码片段。此方法的执行步骤包括主题功能执行轨迹的收集与分析、安卓应用源代码的静态分析、基于静态与动态方法信息的匹配与综合以及方法信息的可视化展现。基于该方法实现了一款插件工具,该工具支持用户便捷查找与主题功能相关的代码信息,并支持高亮标记用户所指定的方法片段。     

电子产线实践平台远程监测系统设计

基于高校实验室对电子产线实践平台工作状态的监测需求,设计了一套低成本、高稳定性的远程监测系统。该系统应用云技术将底层视频传输模块、平台监测模块、移动应用模块整合一体。平台监测模块使用工控机采集运行状态数据发送到云平台,通过摄像头二次开发功能获取视频图像。云服务器为电子产线实践平台和安卓App提供数据服务,安卓App监测电子产线实践平台的运行状态信息,实现现场电气设备的远程控制。利用云服务器的存储功能实现状态浏览、权限管理等功能。工控机与服务器中使用Mina框架实现网络长连接,保证电子装配实践平台中运行状态的网络传输。经过测试,用户可以通过远程监测系统实现对该平台的控制。系统能够降低二次开发和维护的成本,满足智慧实验室的建设需求。     

一种安卓平台下基于智能卡加密的OpenVPN的设计与实现

OpenVPN是一种典型的基于隧道技术的SSLVPN,采用SSL/TLS协议协商隧道加密密钥,借鉴ESP协议封装隧道数据,运用OpenSSL加密库加密隧道数据,使用虚拟网卡驱动扩展网络。本文设计了一种基于智能卡在安卓平台下运行的OpenVPN客户端。论文分析了OpenVPN源码可移植性和安卓平台的特性,并实现了普通OpenVPN在安卓下的运行。重点通过使用SD智能卡,采用硬件加密算法,提高了OpenVPN握手过程和通信过程的安全性。最后为安卓平台实现可视化OpenVPN客户端,方便用户操作使用。     

基于梅尔频率倒谱系数与动态时间规整的安卓声纹解锁系统

安卓设备通常采用数字或图形密码解锁,但此类口令形式的密码安全性不高,而且部分安卓版本存在锁屏绕过漏洞的问题。为此,设计一种利用用户声纹特征的安卓解锁系统。采用梅尔频率倒谱系数提取声纹特征,使用动态时间规整算法进行文本相关的声纹模式匹配,并结合安卓NDK技术实现快速声纹识别。实验结果表明,该系统具有较高的解锁成功率和较快的解锁速度,相比数字或图形解锁,声纹解锁安全性更高,用户体验更好。     

SysTracker:一种采用系统调用监测安卓应用资源使用的方法

安卓恶意应用行为大多源于对系统资源的非法使用,资源使用信息将有助于快速地分析恶意行为。然而,由于安卓系统使用权限机制对资源进行管理的特性,现有的基于系统调用监测安卓应用资源使用的方法并不行之有效。针对该问题,设计并实现了SysTracker:一种采用系统调用辅以API-系统调用映射关系来监测安卓应用资源使用的技术。SysTracker通过截获安卓应用程序中的系统调用,并对系统调用的相关信息进行解析,借助API-系统调用映射关系将特殊的系统调用序列还原为相应的API调用,从而识别出应用程序中资源使用信息。大规模的应用程序测试显示SysTracker对API调用的识别率高达99.2%。同时,通过对多款应用程序的分析表明,SysTracker能直观反映应用对资源使用的情况以快速识别出应用的恶意行为。     

基于安卓手机支付平台的设计与实现

随着科学技术的不断创新,基于安卓手机支付平台设计理念得到了创新。而手机支付平台的实现,促使用户可以使用手机对自己消费的产品进行支付行为,因此给人们的生活带来了较大的便利,并同时致使移动手机支付成了移动支付终端。本文从基于安卓手机支付平台的设计入手,进而详细的阐述了基于安卓移动平台的安全支付系统的实现,为安卓手机支付平台的进一步发展提供了有利的参考文献。     

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.