基于云平台的数据保护功能智能电能表设计

针对目前智能电能表仅通过本地备份保护电表数据的方式,提出一种基于云平台的电能表数据保护系统,通过云平台、支持4G模块的智能电能表以及通信网络,设计基于MQTT的数据交互架构及相关的数据交互功能,将电能表数据定时备份至云平台,并可通过上位机对备份数据进行查询等操作。当本地存储出现故障,本系统可保证电能表数据安全,保障电能表的可靠运行。     

云计算技术在智慧医院信息服务中的应用

为实现医院智能化转型和发展,提高医院信息服务的及时性和准确性,文章应用云计算技术,提出智慧医院云平台设计方案。首先,介绍云计算技术、智慧医院信息服务以及二者的关系;其次,对智慧医院云平台的功能进行设计,包括云档案系统、云管理系统、云病例系统、云运营系统等模块;最后,对该云平台的性能进行测试。结果表明：在云计算技术的应用下,文章所设计的智慧医院云平台具有信息交互效率高、信息化建设成本低、医疗信息服务能力高等特点,完全符合实际应用需求。希望本次研究能够为相关人员提供有效的借鉴和参考。     

基于电信云平台的智能灌溉一体化系统

随着物联网技术在智慧农业中的广泛应用,智能灌溉的重要作用在农业生产中得以彰显。基于中国电信物联网开放平台设计了一套智能灌溉一体化系统,该系统以Arduino UNO单片机为控制中心,选择Air724UG 4G LTE模块作为系统底层数据与电信云平台连接的中间件,分别采用DHT11温湿度传感器、土壤湿度传感器、光敏传感器...     

基于大数据计算机体系的智慧校园云服务平台构建

采用传统的智慧校园云服务平台构建方法所构建的平台,存在对用户的反应速度慢的问题.本文为此提出一种基于大数据计算机体系的智慧校园云服务平台构建方法.在计算机体系作为硬件的基础上,通过对采用大数据分析技术的用户权限模块设计,采用MapReduce(大数据技术)的云存储模块设计,以及资源管理共享模块及其他模块设计,完成基于大数据计算机体系的智慧校园云服务平台构建.通过对比实验,与其他两种传统方法所构建的智慧校园云服务平台作对比,实验结果表明,采用提出的基于大数据计算机体系的智慧校园云服务平台构建方法,其构建的智慧校园云服务平台的用户反应速度更快,能够更为高效地为用户提供云服务.     

基于无线传感网的温室大棚智能监控系统的研究

为了实现对温室大棚环境数据的有效监控,设计了基于无线传感网络的智能监控系统.系统的无线传感网络采用层次结构的路由协议,针对LEACH分簇算法和PEGASIS链路算法进行了融合和改进,提出了一种适用于温室大棚的链簇式路由协议.无线传感节点的设计采用了无线收发芯片nRF24L01+和微控制器STM32,汇聚节点可通过GPRS模块将环境数据上传到远端上位机PC,从而实现数据的远程监控、存储和图表分析显示等功能.     

面向智慧教室的无线传感网边缘节点智能部署方法

摘 要: 为降低部署后的通信时延,提高智慧教室的数据发送与网络使用效率,提出面向智慧教室的无线传感网边缘节点智能部署方法。以智慧教室场景中良好的通信、最大限度降低部署边缘节点成本为优化目标,构建边缘节点智能部署的目标函数。针对目标函数设定流量约束条件、无线传感网数据流约束条件、节点计算能力约束条件。自适应调整粒子群优化算法的惯性权重、粒子更新速度、Pareto最优解保存策略,设计多目标改进粒子群优化算法求解目标函数,实现面向智慧教室的无线传感网边缘节点智能部署。测试结果表明,该方法的时延较低,网络计算能力较高,保证了智慧教室无线传感网通信和传输质量。     

基于Oracle数据的可视化云服务研究

互联网时代的到来使网络信息爆炸式增长,网络信息资源和服务无处不在、无时不在。基于此,阐述了基于Oracle数据的可视化云服务架构和云服务内容。Oracle云服务采用多种革命性的技术,包括大数据分析、社交、移动和物联网等,把工作负载转移到云服务平台上,通过平台的系统模块进行分类操作,从而实现可视化的实时交互,为使用者管理数据时提供支持。     

基于树莓派和云平台的智能灌溉系统

针对目前农业灌溉用水浪费的情况,提出了一种以树莓派为主控器件、云平台为监控的智能灌溉系统.本文以农作物为灌溉对象,分析了模糊控制算法、树莓派4B、传感技术、HTTP协议、MySQL数据库和OneNET云平台等技术的特点,设计了一种能够根据环境状况自动灌溉的智能灌溉系统.系统的硬件部分能完成空气温湿度、土壤湿度的采集.软...     

智能电网云数据储存平台次月留存数据聚类方法

为了优化智能电网业务质量,提出智能电网云数据储存平台次月留存数据聚类方法。业务数据处理模块以FPGA芯片作为核心,设计内部CLB连接形式,优化数据存储器的相关参数,并选择合适的中央控制芯片对平台硬件加以控制。在计算次月留存数据特征提取匹配度的基础上,确定智能电网云数据储存平台次月留存数据聚类中心。利用增益函数初始化Spark程序,通过设计次月留存数据聚类算法,实现了智能电网云数据储存平台次月留存数据的聚类。实验结果表明方法次月留存数据聚类效率高于90%,对于不同的数据集具有较高的聚类效率。     

基于J2EE架构的民航信息基础架构云平台设计

目前民航信息基础数据较多,使用存储信息容器数量不足的平台存储信息时,出现基础数据交互效果不佳的问题。为此,提出基于J2EE架构的民航信息基础架构云平台设计。采用磁盘阵列的方式进行数据存储,利用云终端通过虚拟桌面服务实现虚拟页面展示;构建民航信息基础架构云服务平台,根据民航信息基础云服务数据通信流程,设计多种功能模块,使用虚拟映射算法,模拟各个模块间的协同性,满足实时通信需求。测试结果表明,该平台最大吞吐量为4.4Gbit/s,最小吞吐量为2.6Gbit/s,与理想值一致。     

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。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。