县域水务轻量化微服务智慧管理平台框架研究

当前我国县域水务信息化与智慧化建设仍处于起步阶段,不同业务应用存在大量共性的技术和功能需求,为实现业务系统的快速搭建、降低开发维护成本的同时满足未来技术快速迭代需求,在立足县域区域发展实际,系统梳理县域地区水务业务、水务用户和关联协作等系统的基础上,提出基于微服务架构的县域水务轻量化智慧管理平台框架。智慧管理平台以解决县域水务管理核心需求为主要目标,以核心业务为功能牵引,以专业模型及数值算法为智慧引擎,以个性化定制为用户扩展。通过对水务系统各业务流程进行功能分解及共性提取合并,构建各业务系统可共用的微服务群,基于统一搭建的应用支撑平台,实现跨系统的数据、流程与业务协同,减少地方政府在信息化建设中的重复开发和投资,提升县域水务行业管理和服务水平。     

电力企业大数据基础平台

电力企业各专业均有大数据应用需求,而大数据解决方案和产品路线众多.从一体化企业级信息系统的角度出发,需要构建统一平台,实现大数据应用服务平台化,全面支撑各专业大数据应用需求,避免重复建设.文章分析了电力企业大数据应用需求和技术现状,基于此提出了大数据基础平台的功能架构,最终对平台的设计思想和实现思路进行了详细论述.     

基于SOA架构的业务协同关键技术平台

企业内部的业务协同是企业信息化成功与否的重要环节。针对其业务复杂度高、技术环节多、系统庞大等特点,以高校信息化集成建设的实际经验为基础,对业务协同的关键技术架构进行研究与实践。基于主流中问件技术构建一个涵盖了各业务系统之问的数据整合、流程整合和应用集成的关键技术平台以支撑大型校园内的业务协同。     

基于SOA的海量准实时数据服务平台接入/访问研究

电网数据已成为电力企业发展的重要资产,但缺乏有效的技术手段对准实时数据进行高效的接入/访问。从松耦合、可重复性、标准化等架构设计原则考虑,通过数据接入方案和数据访问方案设计并实现了基于SOA技术的海量准实时数据服务平台。平台通过设计的数据接入/访问工具将不同业务系统的准实时数据统一接入,以测点形式有序集成,并统一对外提供订阅、查询和获取所需数据访问服务来支撑业务应用。同时通过平台电网模型同步与模型树建立和高级应用支撑的关键技术,建立主网模型,并借助变电站设备模型挂接完成主网与配网模型拼接,形成电网标准的模型树,实现电网准实时数据的高效集成和访问,更好的满足电力企业准实时数据纵向贯通和横向交互的需求。     

面向电网协同业务场景的数据全链路检测研究

伴随电力网络的高速发展,电网成为承载与传输电力能源的主要物理载体。在电网运行过程中,需进行数据全链路的检测,以保证各类业务协同开展。首先,分析了电网数据链路检测的国内外研究现状。针对电力企业的运行条件,设计并实现了数据全链路检测系统。然后,采用Web开发技术,集成多个业务场景,综合实现电网运营的协同管理,完成了数据全链路的检测。最后,通过系统测试进一步验证了设计和实现方式的准确性。该系统创新性地将原本需人工手动维护的相关业务转变为自动化实施,并在电网业务数据的基础上构建了自动化电网运营监测体系。该研究成果有助于提高电力企业电网运行的高效性和安全性,对该领域的研究提供了积极的指导意义。     

浙江水利数字化转型总体框架和关键技术研究

以水利数字化转型为抓手,推进智慧水利建设。按照全行业“一云一仓一平台”布局,建立水利数字化转型“四横三纵”总体架构,构建数据共享和业务协同两大开发模型,对水利数据和业务中台进行研究;省市县各级水利应用建设采用“统一用户体系、统一工作门户、统一数据仓、统一水利地图、统一安全防御”等“五统一”技术体系;将相关理论和方法应用于浙江水利数字化转型,研发浙江省水管理平台,并投入使用。实践表明,研究成果有助于解决水利数据资源“信息孤岛”和水利应用“各自为政”等问题。     

智慧江汉平台的建设思路与思考

湖北省为解决水利信息化中数据集中管理和使用、应用协同和创新等问题,提出建设智慧江汉平台项目。智慧江汉平台将按照“统一技术标准、统一运行环境、统一数据资源、统一支撑平台、统一门户和应用、 统一安全保障”的思路,基于“一数一源、一源多用”的原则建设水利数据中台,汇聚全省水利及相关数据、 开展数据治理,形成标准一致的基础数据资源,并进行数据资产管理,实现资源共享、信息互通;建设统一应用支撑平台,统一部署三级使用,为全省水利系统提供应用支撑;围绕管理工作重点,以强监管为主导思想, 遵循“分工明确、数据共享、业务协同”的思路,构建建设水利业务中台,改变传统“单独开发、独立运行” 的应用系统建设模式,实现业务全协同;进而通过项目建设中的思索,提出对未来一段时间水利信息化建设的思考,力图促进湖北省水利信息化建设走上健康、良性的发展道路。     

智慧露天矿山总体框架及关键技术研究

结合我国露天矿山的特点,给出了智慧露天矿山的定义。介绍了智慧露天矿山的总体网络架构、业务架构、协同流程:采用云、边、端的总体网络架构,通过接入多源异构数据,充分应用大数据、云计算等先进技术,实现露天矿山各个生产环节的协同关联;业务架构采用"5层+3体系"的模式,"5层"自下而上分别为基础设备层、业务数据层、分析服务层、分析业务层和分析展现层,"3体系"分别为数据分析标准体系、安全规范标准体系、元数据及代码规范标准体系;智慧露天矿山协同自下而上要实现"基础+数据"支撑、矿山生产系统协同、灾害风险分析协同和经营决策协同。探讨了智慧露天矿山无人驾驶技术、数字孪生技术、大数据采集分析技术、风险监测及预警技术等关键技术。指出大数据、人工智能等技术将成为露天矿山智能化的核心驱动,平台化架构将成为未来智慧露天矿山系统的共性选择。     

基于大数据、云平台和微服务的水文综合平台建设

随着社会对水文服务需求的不断提高,为解决水文信息化发展的同时出现的水文应用繁多,资源不共享,标准不统一等问题,江西省建设基于大数据、云平台和微服务的水文综合平台。解析水文综合平台实现水文业务数据的一数一源和业务协同集成的脉络,分别阐述大数据平台、云平台和微服务架构技术结合在数据层和平台层的支撑作用;同时在分析应用支撑、水文综合数据库和数据共享、水文微服务、水文综合等平台建设内容的基础上,重点明确水文综合平台建设意义。江西省水文综合平台在11个地级市落地应用表明:“大数据+云平台+微服务”可为江西省水资源管理、水利数据整合、水利系统优化提供关键支撑,为未来水利信息化发展问题解决提供借鉴方案。     

基于物联网技术的智能变电站应用方案探讨

智能电网的构建需要以物联网技术作为支撑。依据物联网在电力系统的应用发展,在分析智能电网功能需求的基础上,提出了基于物联网技术的智能电网系统组成,并给出了一种智能变电站应用技术方案当前时期,物联网技术已经较为成熟,智能电网的构建需要以物联网技术作为支撑,在很多行业中得到了应用。对于电力行业来说,当下的主要工作就是要通过有效措施来保证人民群众的用电需求,实现电力行业的持续发展,而可行的措施就是要强化智能电网的建设工作。     

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.